From bda058bf5428a93aeee9393cb7fa77b923261425 Mon Sep 17 00:00:00 2001
From: Rylan <rylanoc@gmail.com>
Date: Mon, 26 Nov 2018 12:12:17 -0500
Subject: [PATCH] Use tensorflow.js, embed Despacito video in iframe

---
 .gitignore                      |     2 +
 css/border-h.gif                |   Bin 72 -> 0 bytes
 css/border-v.gif                |   Bin 72 -> 0 bytes
 css/imgareaselect-default.css   |    41 -
 css/main.css                    |    20 +
 index.html                      |   381 +-
 js/build/clmtrackr.js           | 15320 ------------------------------
 js/build/clmtrackr.min.js       |     1 -
 js/despacito.js                 |    29 +
 js/emotion_classifier.js        |    72 -
 js/emotionmodel.js              |    26 -
 js/emotions.js                  |    67 +
 js/jquery-1.4.3.min.js          |   166 +
 js/libs/Stats.js                |     7 -
 js/libs/d3.min.js               |     5 -
 js/libs/utils.js                |    44 -
 js/models/model_pca_10_mosse.js |   691 --
 js/models/model_pca_10_svm.js   |   630 --
 js/models/model_pca_20_mosse.js |   701 --
 js/models/model_pca_20_svm.js   |   640 --
 js/models/model_spca_10_svm.js  |   633 --
 js/models/model_spca_20_svm.js  |   642 --
 media/icon_angry.png            |   Bin 1047 -> 0 bytes
 media/icon_happy.png            |   Bin 949 -> 0 bytes
 media/icon_sad.png              |   Bin 955 -> 0 bytes
 media/icon_surprised.png        |   Bin 883 -> 0 bytes
 media/obama.jpg                 |   Bin 0 -> 22920 bytes
 27 files changed, 320 insertions(+), 19798 deletions(-)
 create mode 100644 .gitignore
 delete mode 100644 css/border-h.gif
 delete mode 100644 css/border-v.gif
 delete mode 100644 css/imgareaselect-default.css
 create mode 100644 css/main.css
 delete mode 100644 js/build/clmtrackr.js
 delete mode 100644 js/build/clmtrackr.min.js
 create mode 100644 js/despacito.js
 delete mode 100644 js/emotion_classifier.js
 delete mode 100644 js/emotionmodel.js
 create mode 100644 js/emotions.js
 create mode 100644 js/jquery-1.4.3.min.js
 delete mode 100644 js/libs/Stats.js
 delete mode 100644 js/libs/d3.min.js
 delete mode 100644 js/libs/utils.js
 delete mode 100644 js/models/model_pca_10_mosse.js
 delete mode 100644 js/models/model_pca_10_svm.js
 delete mode 100644 js/models/model_pca_20_mosse.js
 delete mode 100644 js/models/model_pca_20_svm.js
 delete mode 100644 js/models/model_spca_10_svm.js
 delete mode 100644 js/models/model_spca_20_svm.js
 delete mode 100644 media/icon_angry.png
 delete mode 100644 media/icon_happy.png
 delete mode 100644 media/icon_sad.png
 delete mode 100644 media/icon_surprised.png
 create mode 100644 media/obama.jpg

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..0485ba8
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+
+\.DS_Store
diff --git a/css/border-h.gif b/css/border-h.gif
deleted file mode 100644
index a2aa5b0d09bf7215199dbf9a291b34b11d0352d4..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 72
zcmZ?wbhEHbWMg1tSjfQe|Nnmm1_m=TGay6ppOkY^YGO%hib8p2NrpmVR$@g?eqxGV
XW?ou8gAPy~14tJG6LU)|D}yxvaY_|=

diff --git a/css/border-v.gif b/css/border-v.gif
deleted file mode 100644
index 4bfd55564099537d38d4112f550b8974744de3ca..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 72
zcmZ?wbhEHbWMp7tSjfQe|Nnmm1_m=TGay6ppOkY^YGO%hib8p2NrpmVR$@g?eqxGV
XW?ou8gAPy~14tJG6LU)|D}yxvaW)ls

diff --git a/css/imgareaselect-default.css b/css/imgareaselect-default.css
deleted file mode 100644
index f4fe341..0000000
--- a/css/imgareaselect-default.css
+++ /dev/null
@@ -1,41 +0,0 @@
-/*
- * imgAreaSelect default style
- */
-
-.imgareaselect-border1 {
-	background: url(border-v.gif) repeat-y left top;
-}
-
-.imgareaselect-border2 {
-    background: url(border-h.gif) repeat-x left top;
-}
-
-.imgareaselect-border3 {
-    background: url(border-v.gif) repeat-y right top;
-}
-
-.imgareaselect-border4 {
-    background: url(border-h.gif) repeat-x left bottom;
-}
-
-.imgareaselect-border1, .imgareaselect-border2,
-.imgareaselect-border3, .imgareaselect-border4 {
-    filter: alpha(opacity=50);
-	opacity: 0.5;
-}
-
-.imgareaselect-handle {
-    background-color: #fff;
-    border: solid 1px #000;
-    filter: alpha(opacity=50);
-    opacity: 0.5;
-}
-
-.imgareaselect-outer {
-    background-color: #000;
-    filter: alpha(opacity=50);
-    opacity: 0.5;
-}
-
-.imgareaselect-selection {  
-}
\ No newline at end of file
diff --git a/css/main.css b/css/main.css
new file mode 100644
index 0000000..8c3279d
--- /dev/null
+++ b/css/main.css
@@ -0,0 +1,20 @@
+.body {
+  font-family: 'Oswald', sans-serif;
+}
+
+.title {
+  text-align: center;
+}
+
+.webcam {
+  float: left;
+  margin: 10px;
+  width: 40%;
+}
+
+.despacito {
+  float: right;
+  margin: 10px;
+  background-color: red;
+  width: 40%;
+}
diff --git a/index.html b/index.html
index f78418d..0478d7f 100644
--- a/index.html
+++ b/index.html
@@ -1,349 +1,40 @@
-<!doctype html>
-<html lang="en">
-	<head>
-		<title>Face tracker</title>
-		<meta charset="utf-8">
-		<link href="./styles/bootstrap.min.css" rel="stylesheet" type="text/css">
-		<style>
-			@import url(https://fonts.googleapis.com/css?family=Lato:300italic,700italic,300,700);
-
-			body {
-				font-family: 'Lato';
-				background-color: #f0f0f0;
-				margin: 0px auto;
-				max-width: 1150px;
-			}
-
-			#overlay {
-				position: absolute;
-				top: 0px;
-				left: 0px;
-				-o-transform : scaleX(-1);
-				-webkit-transform : scaleX(-1);
-				transform : scaleX(-1);
-				-ms-filter : fliph; /*IE*/
-				filter : fliph; /*IE*/
-
-				
-			}
-
-			#videoel {
-				-o-transform : scaleX(-1);
-				-webkit-transform : scaleX(-1);
-				transform : scaleX(-1);
-				-ms-filter : fliph; /*IE*/
-				filter : fliph; /*IE*/
-
-				
-			}
-
-			#container {
-				position : relative;
-				width : 370px;
-				/*margin : 0px auto;*/
-			}
-
-			#content {
-				margin-top : 50px;
-				margin-left : auto;
-				margin-right : auto;
-				max-width: 600px;
-			}
-
-			h2 {
-				font-weight : 400;
-			}
-
-			.btn {
-				font-family: 'Lato';
-				font-size: 16px;
-			}
-
-			#controls {
-				text-align : center;
-			}
-
-			#emotion_container {
-				width: 600px;
-			}
-
-			#emotion_icons {
-				height: 50px;
-				padding-left: 40px;
-			}
-
-			.emotion_icon {
-				width : 40px;
-				height : 40px;
-				margin-top: 5px;
-				/*margin-left : 13px;*/
-				margin-left : 35px;
-			}
-
-			#emotion_chart, #emotion_icons {
-				margin: 0 auto;
-				width : 400px;
-			}
-
-			#icon1, #icon2, #icon3, #icon4, #icon5, #icon6 {
-				visibility : hidden;
-			}
-
-			/* d3 */
-			.bar {
-				fill : steelblue;
-				fill-opacity : .9;
-			}
-
-		</style>
-		<script>
-			// getUserMedia only works over https in Chrome 47+, so we redirect to https. Also notify user if running from file.
-			if (window.location.protocol == "file:") {
-				alert("You seem to be running this example directly from a file. Note that these examples only work when served from a server or localhost due to canvas cross-domain restrictions.");
-			} else if (window.location.hostname !== "localhost" && window.location.protocol !== "https:"){
-				window.location.protocol = "https";
-			}
-		</script>
-		<script type="text/javascript">
-
-			var _gaq = _gaq || [];
-			_gaq.push(['_setAccount', 'UA-32642923-1']);
-			_gaq.push(['_trackPageview']);
-
-			(function() {
-				var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
-				ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
-				var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
-			})();
-
-		</script>
-	</head>
-	<body>
-		<script src="./js/libs/utils.js"></script>
-		<script src="./js/build/clmtrackr.js"></script>
-		<script src="./js/models/model_pca_20_svm.js"></script>
-		<script src="./js/libs/Stats.js"></script>
-		<script src="./js/libs/d3.min.js"></script>
-		<script src="./js/emotion_classifier.js"></script>
-		<script src="./js/emotionmodel.js"></script>
-		<div id="content">
-			<h2>ARE YOU HAPPY</h2>
-			<div id="container">
-				<video id="videoel" width="400" height="300" preload="auto" loop playsinline autoplay>
+<html>
+  <head>
+		<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@0.13.3/dist/tf.min.js"> </script>
+    <script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/mobilenet@0.1.1"></script>
+		<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/knn-classifier@latest"></script>
+		
+		<script type="text/javascript" src="js/jquery-1.4.3.min.js"></script>
+
+		<link href="https://fonts.googleapis.com/css?family=Oswald" rel="stylesheet">
+		<link href="css/bootstrap.min.css" rel="stylesheet" type="text/css"/>
+		<link href="css/main.css" rel="stylesheet" type="text/css"/>
+		
+
+		<title>despacito.tv</title>
+  </head>
+
+  <body>
+		<noscript>
+			<strong>This page requires javascript to run correctly.</strong>
+		</noscript>
+		<h1 class='title'>ARE YOU HAPPY</h1>
+		<div>
+			<div class='webcam'>
+				<!--
+				<video autoplay="true" id="videoElement">
+     
 				</video>
-				<canvas id="overlay" width="400" height="300"></canvas>
+				-->
 			</div>
-			<div id="emotion_container">
-				<div id="emotion_icons">
-					<img class="emotion_icon" id="icon1" src="./media/icon_angry.png">
-					<img class="emotion_icon" id="icon2" src="./media/icon_sad.png">
-					<img class="emotion_icon" id="icon3" src="./media/icon_surprised.png">
-					<img class="emotion_icon" id="icon4" src="./media/icon_happy.png">
-				</div>
-				<div id='emotion_chart'></div>
-			</div>
-			<div id="controls">
-				<input class="btn" type="button" value="wait, loading video" disabled="disabled" onclick="startVideo()" id="startbutton"></input>
+			<div class='despacito' id='player'>
+				
 			</div>
-			<script>
-				var vid = document.getElementById('videoel');
-				var vid_width = vid.width;
-				var vid_height = vid.height;
-				var overlay = document.getElementById('overlay');
-				var overlayCC = overlay.getContext('2d');
-
-				/********** check and set up video/webcam **********/
-
-				function enablestart() {
-					var startbutton = document.getElementById('startbutton');
-					startbutton.value = "start";
-					startbutton.disabled = null;
-				}
-
-				function adjustVideoProportions() {
-					// resize overlay and video if proportions are different
-					// keep same height, just change width
-					var proportion = vid.videoWidth/vid.videoHeight;
-					vid_width = Math.round(vid_height * proportion);
-					vid.width = vid_width;
-					overlay.width = vid_width;
-				}
-
-				function gumSuccess( stream ) {
-					// add camera stream if getUserMedia succeeded
-					if ("srcObject" in vid) {
-						vid.srcObject = stream;
-					} else {
-						vid.src = (window.URL && window.URL.createObjectURL(stream));
-					}
-					vid.onloadedmetadata = function() {
-						adjustVideoProportions();
-						vid.play();
-					}
-					vid.onresize = function() {
-						adjustVideoProportions();
-						if (trackingStarted) {
-							ctrack.stop();
-							ctrack.reset();
-							ctrack.start(vid);
-						}
-					}
-				}
-
-				function gumFail() {
-					alert("There was some problem trying to fetch video from your webcam. If you have a webcam, please make sure to accept when the browser asks for access to your webcam.");
-				}
-
-				navigator.getUserMedia = navigator.getUserMedia || navigator.webkitGetUserMedia || navigator.mozGetUserMedia || navigator.msGetUserMedia;
-				window.URL = window.URL || window.webkitURL || window.msURL || window.mozURL;
-
-				// check for camerasupport
-				if (navigator.mediaDevices) {
-					navigator.mediaDevices.getUserMedia({video : true}).then(gumSuccess).catch(gumFail);
-				} else if (navigator.getUserMedia) {
-					navigator.getUserMedia({video : true}, gumSuccess, gumFail);
-				} else {
-					alert("This demo depends on getUserMedia, which your browser does not seem to support. :(");
-				}
-
-				vid.addEventListener('canplay', enablestart, false);
-
-				/*********** setup of emotion detection *************/
-
-				// set eigenvector 9 and 11 to not be regularized. This is to better detect motion of the eyebrows
-				pModel.shapeModel.nonRegularizedVectors.push(9);
-				pModel.shapeModel.nonRegularizedVectors.push(11);
-
-				var ctrack = new clm.tracker({useWebGL : true});
-				ctrack.init(pModel);
-				var trackingStarted = false;
-
-				function startVideo() {
-					// start video
-					vid.play();
-					// start tracking
-					ctrack.start(vid);
-					trackingStarted = true;
-					// start loop to draw face
-					drawLoop();
-				}
-
-				function drawLoop() {
-					requestAnimFrame(drawLoop);
-					overlayCC.clearRect(0, 0, vid_width, vid_height);
-					//psrElement.innerHTML = "score :" + ctrack.getScore().toFixed(4);
-					if (ctrack.getCurrentPosition()) {
-						ctrack.draw(overlay);
-					}
-					var cp = ctrack.getCurrentParameters();
-
-					var er = ec.meanPredict(cp);
-					if (er) {
-						updateData(er);
-						for (var i = 0;i < er.length;i++) {
-							if (er[i].value > 0.4) {
-								document.getElementById('icon'+(i+1)).style.visibility = 'visible';
-							} else {
-								document.getElementById('icon'+(i+1)).style.visibility = 'hidden';
-							}
-						}
-					}
-				}
-
-				delete emotionModel['disgusted'];
-				delete emotionModel['fear'];
-				var ec = new emotionClassifier();
-				ec.init(emotionModel);
-				var emotionData = ec.getBlank();
-
-				/************ d3 code for barchart *****************/
-
-				var margin = {top : 20, right : 20, bottom : 10, left : 40},
-					width = 400 - margin.left - margin.right,
-					height = 100 - margin.top - margin.bottom;
-
-				var barWidth = 30;
-
-				var formatPercent = d3.format(".0%");
-
-				var x = d3.scale.linear()
-					.domain([0, ec.getEmotions().length]).range([margin.left, width+margin.left]);
-
-				var y = d3.scale.linear()
-					.domain([0,1]).range([0, height]);
-
-				var svg = d3.select("#emotion_chart").append("svg")
-					.attr("width", width + margin.left + margin.right)
-					.attr("height", height + margin.top + margin.bottom)
-
-				svg.selectAll("rect").
-					data(emotionData).
-					enter().
-					append("svg:rect").
-					attr("x", function(datum, index) { return x(index); }).
-					attr("y", function(datum) { return height - y(datum.value); }).
-					attr("height", function(datum) { return y(datum.value); }).
-					attr("width", barWidth).
-					attr("fill", "#2d578b");
-
-				svg.selectAll("text.labels").
-					data(emotionData).
-					enter().
-					append("svg:text").
-					attr("x", function(datum, index) { return x(index) + barWidth; }).
-					attr("y", function(datum) { return height - y(datum.value); }).
-					attr("dx", -barWidth/2).
-					attr("dy", "1.2em").
-					attr("text-anchor", "middle").
-					text(function(datum) { return datum.value;}).
-					attr("fill", "white").
-					attr("class", "labels");
-
-				svg.selectAll("text.yAxis").
-					data(emotionData).
-					enter().append("svg:text").
-					attr("x", function(datum, index) { return x(index) + barWidth; }).
-					attr("y", height).
-					attr("dx", -barWidth/2).
-					attr("text-anchor", "middle").
-					attr("style", "font-size: 12").
-					text(function(datum) { return datum.emotion;}).
-					attr("transform", "translate(0, 18)").
-					attr("class", "yAxis");
-
-				function updateData(data) {
-					// update
-					var rects = svg.selectAll("rect")
-						.data(data)
-						.attr("y", function(datum) { return height - y(datum.value); })
-						.attr("height", function(datum) { return y(datum.value); });
-					var texts = svg.selectAll("text.labels")
-						.data(data)
-						.attr("y", function(datum) { return height - y(datum.value); })
-						.text(function(datum) { return datum.value.toFixed(1);});
-
-					// enter
-					rects.enter().append("svg:rect");
-					texts.enter().append("svg:text");
-
-					// exit
-					rects.exit().remove();
-					texts.exit().remove();
-				}
-
-				/******** stats ********/
-
-				stats = new Stats();
-				stats.domElement.style.position = 'absolute';
-				stats.domElement.style.top = '0px';
-				document.getElementById('container').appendChild( stats.domElement );
-
-				// update stats on every iteration
-				document.addEventListener('clmtrackrIteration', function(event) {
-					stats.update();
-				}, false);
-
-			</script>
 		</div>
-	</body>
-</html>
+
+		<img src="./media/obama.jpg" id="test">
+		<script type="text/javascript" src="./js/emotions.js"> </script>	
+		<script type="text/javascript" src="./js/despacito.js"> </script>	
+		<button onclick="getEmotion()">Get Emotion</button>
+  </body>
+</html>
\ No newline at end of file
diff --git a/js/build/clmtrackr.js b/js/build/clmtrackr.js
deleted file mode 100644
index 584a9d2..0000000
--- a/js/build/clmtrackr.js
+++ /dev/null
@@ -1,15320 +0,0 @@
-(function (global, factory) {
-	typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
-	typeof define === 'function' && define.amd ? define(factory) :
-	(global.clm = factory());
-}(this, (function () { 'use strict';
-
-var commonjsGlobal = typeof window !== 'undefined' ? window : typeof global !== 'undefined' ? global : typeof self !== 'undefined' ? self : {};
-
-
-
-
-
-function createCommonjsModule(fn, module) {
-	return module = { exports: {} }, fn(module, module.exports), module.exports;
-}
-
-var numeric1_2_6 = createCommonjsModule(function (module, exports) {
-"use strict";
-
-var numeric = exports;
-if(typeof commonjsGlobal !== "undefined") { commonjsGlobal.numeric = numeric; }
-
-numeric.version = "1.2.6";
-
-// 1. Utility functions
-numeric.bench = function bench (f,interval) {
-    var t1,t2,n,i;
-    if(typeof interval === "undefined") { interval = 15; }
-    n = 0.5;
-    t1 = new Date();
-    while(1) {
-        n*=2;
-        for(i=n;i>3;i-=4) { f(); f(); f(); f(); }
-        while(i>0) { f(); i--; }
-        t2 = new Date();
-        if(t2-t1 > interval) break;
-    }
-    for(i=n;i>3;i-=4) { f(); f(); f(); f(); }
-    while(i>0) { f(); i--; }
-    t2 = new Date();
-    return 1000*(3*n-1)/(t2-t1);
-};
-
-numeric._myIndexOf = (function _myIndexOf(w) {
-    var n = this.length,k;
-    for(k=0;k<n;++k) if(this[k]===w) return k;
-    return -1;
-});
-numeric.myIndexOf = (Array.prototype.indexOf)?Array.prototype.indexOf:numeric._myIndexOf;
-
-numeric.Function = Function;
-numeric.precision = 4;
-numeric.largeArray = 50;
-
-numeric.prettyPrint = function prettyPrint(x) {
-    function fmtnum(x) {
-        if(x === 0) { return '0'; }
-        if(isNaN(x)) { return 'NaN'; }
-        if(x<0) { return '-'+fmtnum(-x); }
-        if(isFinite(x)) {
-            var scale = Math.floor(Math.log(x) / Math.log(10));
-            var normalized = x / Math.pow(10,scale);
-            var basic = normalized.toPrecision(numeric.precision);
-            if(parseFloat(basic) === 10) { scale++; normalized = 1; basic = normalized.toPrecision(numeric.precision); }
-            return parseFloat(basic).toString()+'e'+scale.toString();
-        }
-        return 'Infinity';
-    }
-    var ret = [];
-    function foo(x) {
-        var k;
-        if(typeof x === "undefined") { ret.push(Array(numeric.precision+8).join(' ')); return false; }
-        if(typeof x === "string") { ret.push('"'+x+'"'); return false; }
-        if(typeof x === "boolean") { ret.push(x.toString()); return false; }
-        if(typeof x === "number") {
-            var a = fmtnum(x);
-            var b = x.toPrecision(numeric.precision);
-            var c = parseFloat(x.toString()).toString();
-            var d = [a,b,c,parseFloat(b).toString(),parseFloat(c).toString()];
-            for(k=1;k<d.length;k++) { if(d[k].length < a.length) a = d[k]; }
-            ret.push(Array(numeric.precision+8-a.length).join(' ')+a);
-            return false;
-        }
-        if(x === null) { ret.push("null"); return false; }
-        if(typeof x === "function") { 
-            ret.push(x.toString());
-            var flag = false;
-            for(k in x) { if(x.hasOwnProperty(k)) { 
-                if(flag) ret.push(',\n');
-                else ret.push('\n{');
-                flag = true; 
-                ret.push(k); 
-                ret.push(': \n'); 
-                foo(x[k]); 
-            } }
-            if(flag) ret.push('}\n');
-            return true;
-        }
-        if(x instanceof Array) {
-            if(x.length > numeric.largeArray) { ret.push('...Large Array...'); return true; }
-            var flag = false;
-            ret.push('[');
-            for(k=0;k<x.length;k++) { if(k>0) { ret.push(','); if(flag) ret.push('\n '); } flag = foo(x[k]); }
-            ret.push(']');
-            return true;
-        }
-        ret.push('{');
-        var flag = false;
-        for(k in x) { if(x.hasOwnProperty(k)) { if(flag) ret.push(',\n'); flag = true; ret.push(k); ret.push(': \n'); foo(x[k]); } }
-        ret.push('}');
-        return true;
-    }
-    foo(x);
-    return ret.join('');
-};
-
-numeric.parseDate = function parseDate(d) {
-    function foo(d) {
-        if(typeof d === 'string') { return Date.parse(d.replace(/-/g,'/')); }
-        if(!(d instanceof Array)) { throw new Error("parseDate: parameter must be arrays of strings"); }
-        var ret = [],k;
-        for(k=0;k<d.length;k++) { ret[k] = foo(d[k]); }
-        return ret;
-    }
-    return foo(d);
-};
-
-numeric.parseFloat = function parseFloat_(d) {
-    function foo(d) {
-        if(typeof d === 'string') { return parseFloat(d); }
-        if(!(d instanceof Array)) { throw new Error("parseFloat: parameter must be arrays of strings"); }
-        var ret = [],k;
-        for(k=0;k<d.length;k++) { ret[k] = foo(d[k]); }
-        return ret;
-    }
-    return foo(d);
-};
-
-numeric.parseCSV = function parseCSV(t) {
-    var foo = t.split('\n');
-    var j,k;
-    var ret = [];
-    var pat = /(([^'",]*)|('[^']*')|("[^"]*")),/g;
-    var patnum = /^\s*(([+-]?[0-9]+(\.[0-9]*)?(e[+-]?[0-9]+)?)|([+-]?[0-9]*(\.[0-9]+)?(e[+-]?[0-9]+)?))\s*$/;
-    var stripper = function(n) { return n.substr(0,n.length-1); };
-    var count = 0;
-    for(k=0;k<foo.length;k++) {
-      var bar = (foo[k]+",").match(pat),baz;
-      if(bar.length>0) {
-          ret[count] = [];
-          for(j=0;j<bar.length;j++) {
-              baz = stripper(bar[j]);
-              if(patnum.test(baz)) { ret[count][j] = parseFloat(baz); }
-              else ret[count][j] = baz;
-          }
-          count++;
-      }
-    }
-    return ret;
-};
-
-numeric.toCSV = function toCSV(A) {
-    var s = numeric.dim(A);
-    var i,j,m,n,row,ret;
-    m = s[0];
-    n = s[1];
-    ret = [];
-    for(i=0;i<m;i++) {
-        row = [];
-        for(j=0;j<m;j++) { row[j] = A[i][j].toString(); }
-        ret[i] = row.join(', ');
-    }
-    return ret.join('\n')+'\n';
-};
-
-numeric.getURL = function getURL(url) {
-    var client = new XMLHttpRequest();
-    client.open("GET",url,false);
-    client.send();
-    return client;
-};
-
-numeric.imageURL = function imageURL(img) {
-    function base64(A) {
-        var n = A.length, i,x,y,z,p,q,r,s;
-        var key = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=";
-        var ret = "";
-        for(i=0;i<n;i+=3) {
-            x = A[i];
-            y = A[i+1];
-            z = A[i+2];
-            p = x >> 2;
-            q = ((x & 3) << 4) + (y >> 4);
-            r = ((y & 15) << 2) + (z >> 6);
-            s = z & 63;
-            if(i+1>=n) { r = s = 64; }
-            else if(i+2>=n) { s = 64; }
-            ret += key.charAt(p) + key.charAt(q) + key.charAt(r) + key.charAt(s);
-            }
-        return ret;
-    }
-    function crc32Array (a,from,to) {
-        if(typeof from === "undefined") { from = 0; }
-        if(typeof to === "undefined") { to = a.length; }
-        var table = [0x00000000, 0x77073096, 0xEE0E612C, 0x990951BA, 0x076DC419, 0x706AF48F, 0xE963A535, 0x9E6495A3,
-                     0x0EDB8832, 0x79DCB8A4, 0xE0D5E91E, 0x97D2D988, 0x09B64C2B, 0x7EB17CBD, 0xE7B82D07, 0x90BF1D91, 
-                     0x1DB71064, 0x6AB020F2, 0xF3B97148, 0x84BE41DE, 0x1ADAD47D, 0x6DDDE4EB, 0xF4D4B551, 0x83D385C7,
-                     0x136C9856, 0x646BA8C0, 0xFD62F97A, 0x8A65C9EC, 0x14015C4F, 0x63066CD9, 0xFA0F3D63, 0x8D080DF5, 
-                     0x3B6E20C8, 0x4C69105E, 0xD56041E4, 0xA2677172, 0x3C03E4D1, 0x4B04D447, 0xD20D85FD, 0xA50AB56B, 
-                     0x35B5A8FA, 0x42B2986C, 0xDBBBC9D6, 0xACBCF940, 0x32D86CE3, 0x45DF5C75, 0xDCD60DCF, 0xABD13D59, 
-                     0x26D930AC, 0x51DE003A, 0xC8D75180, 0xBFD06116, 0x21B4F4B5, 0x56B3C423, 0xCFBA9599, 0xB8BDA50F,
-                     0x2802B89E, 0x5F058808, 0xC60CD9B2, 0xB10BE924, 0x2F6F7C87, 0x58684C11, 0xC1611DAB, 0xB6662D3D,
-                     0x76DC4190, 0x01DB7106, 0x98D220BC, 0xEFD5102A, 0x71B18589, 0x06B6B51F, 0x9FBFE4A5, 0xE8B8D433,
-                     0x7807C9A2, 0x0F00F934, 0x9609A88E, 0xE10E9818, 0x7F6A0DBB, 0x086D3D2D, 0x91646C97, 0xE6635C01, 
-                     0x6B6B51F4, 0x1C6C6162, 0x856530D8, 0xF262004E, 0x6C0695ED, 0x1B01A57B, 0x8208F4C1, 0xF50FC457, 
-                     0x65B0D9C6, 0x12B7E950, 0x8BBEB8EA, 0xFCB9887C, 0x62DD1DDF, 0x15DA2D49, 0x8CD37CF3, 0xFBD44C65, 
-                     0x4DB26158, 0x3AB551CE, 0xA3BC0074, 0xD4BB30E2, 0x4ADFA541, 0x3DD895D7, 0xA4D1C46D, 0xD3D6F4FB, 
-                     0x4369E96A, 0x346ED9FC, 0xAD678846, 0xDA60B8D0, 0x44042D73, 0x33031DE5, 0xAA0A4C5F, 0xDD0D7CC9, 
-                     0x5005713C, 0x270241AA, 0xBE0B1010, 0xC90C2086, 0x5768B525, 0x206F85B3, 0xB966D409, 0xCE61E49F, 
-                     0x5EDEF90E, 0x29D9C998, 0xB0D09822, 0xC7D7A8B4, 0x59B33D17, 0x2EB40D81, 0xB7BD5C3B, 0xC0BA6CAD, 
-                     0xEDB88320, 0x9ABFB3B6, 0x03B6E20C, 0x74B1D29A, 0xEAD54739, 0x9DD277AF, 0x04DB2615, 0x73DC1683, 
-                     0xE3630B12, 0x94643B84, 0x0D6D6A3E, 0x7A6A5AA8, 0xE40ECF0B, 0x9309FF9D, 0x0A00AE27, 0x7D079EB1, 
-                     0xF00F9344, 0x8708A3D2, 0x1E01F268, 0x6906C2FE, 0xF762575D, 0x806567CB, 0x196C3671, 0x6E6B06E7, 
-                     0xFED41B76, 0x89D32BE0, 0x10DA7A5A, 0x67DD4ACC, 0xF9B9DF6F, 0x8EBEEFF9, 0x17B7BE43, 0x60B08ED5, 
-                     0xD6D6A3E8, 0xA1D1937E, 0x38D8C2C4, 0x4FDFF252, 0xD1BB67F1, 0xA6BC5767, 0x3FB506DD, 0x48B2364B, 
-                     0xD80D2BDA, 0xAF0A1B4C, 0x36034AF6, 0x41047A60, 0xDF60EFC3, 0xA867DF55, 0x316E8EEF, 0x4669BE79, 
-                     0xCB61B38C, 0xBC66831A, 0x256FD2A0, 0x5268E236, 0xCC0C7795, 0xBB0B4703, 0x220216B9, 0x5505262F, 
-                     0xC5BA3BBE, 0xB2BD0B28, 0x2BB45A92, 0x5CB36A04, 0xC2D7FFA7, 0xB5D0CF31, 0x2CD99E8B, 0x5BDEAE1D, 
-                     0x9B64C2B0, 0xEC63F226, 0x756AA39C, 0x026D930A, 0x9C0906A9, 0xEB0E363F, 0x72076785, 0x05005713, 
-                     0x95BF4A82, 0xE2B87A14, 0x7BB12BAE, 0x0CB61B38, 0x92D28E9B, 0xE5D5BE0D, 0x7CDCEFB7, 0x0BDBDF21, 
-                     0x86D3D2D4, 0xF1D4E242, 0x68DDB3F8, 0x1FDA836E, 0x81BE16CD, 0xF6B9265B, 0x6FB077E1, 0x18B74777, 
-                     0x88085AE6, 0xFF0F6A70, 0x66063BCA, 0x11010B5C, 0x8F659EFF, 0xF862AE69, 0x616BFFD3, 0x166CCF45, 
-                     0xA00AE278, 0xD70DD2EE, 0x4E048354, 0x3903B3C2, 0xA7672661, 0xD06016F7, 0x4969474D, 0x3E6E77DB, 
-                     0xAED16A4A, 0xD9D65ADC, 0x40DF0B66, 0x37D83BF0, 0xA9BCAE53, 0xDEBB9EC5, 0x47B2CF7F, 0x30B5FFE9, 
-                     0xBDBDF21C, 0xCABAC28A, 0x53B39330, 0x24B4A3A6, 0xBAD03605, 0xCDD70693, 0x54DE5729, 0x23D967BF, 
-                     0xB3667A2E, 0xC4614AB8, 0x5D681B02, 0x2A6F2B94, 0xB40BBE37, 0xC30C8EA1, 0x5A05DF1B, 0x2D02EF8D];
-     
-        var crc = -1, y = 0, n = a.length,i;
-
-        for (i = from; i < to; i++) {
-            y = (crc ^ a[i]) & 0xFF;
-            crc = (crc >>> 8) ^ table[y];
-        }
-     
-        return crc ^ (-1);
-    }
-
-    var h = img[0].length, w = img[0][0].length, s1, s2, next,k,length,a,b,i,j,adler32,crc32;
-    var stream = [
-                  137, 80, 78, 71, 13, 10, 26, 10,                           //  0: PNG signature
-                  0,0,0,13,                                                  //  8: IHDR Chunk length
-                  73, 72, 68, 82,                                            // 12: "IHDR" 
-                  (w >> 24) & 255, (w >> 16) & 255, (w >> 8) & 255, w&255,   // 16: Width
-                  (h >> 24) & 255, (h >> 16) & 255, (h >> 8) & 255, h&255,   // 20: Height
-                  8,                                                         // 24: bit depth
-                  2,                                                         // 25: RGB
-                  0,                                                         // 26: deflate
-                  0,                                                         // 27: no filter
-                  0,                                                         // 28: no interlace
-                  -1,-2,-3,-4,                                               // 29: CRC
-                  -5,-6,-7,-8,                                               // 33: IDAT Chunk length
-                  73, 68, 65, 84,                                            // 37: "IDAT"
-                  // RFC 1950 header starts here
-                  8,                                                         // 41: RFC1950 CMF
-                  29                                                         // 42: RFC1950 FLG
-                  ];
-    crc32 = crc32Array(stream,12,29);
-    stream[29] = (crc32>>24)&255;
-    stream[30] = (crc32>>16)&255;
-    stream[31] = (crc32>>8)&255;
-    stream[32] = (crc32)&255;
-    s1 = 1;
-    s2 = 0;
-    for(i=0;i<h;i++) {
-        if(i<h-1) { stream.push(0); }
-        else { stream.push(1); }
-        a = (3*w+1+(i===0))&255; b = ((3*w+1+(i===0))>>8)&255;
-        stream.push(a); stream.push(b);
-        stream.push((~a)&255); stream.push((~b)&255);
-        if(i===0) stream.push(0);
-        for(j=0;j<w;j++) {
-            for(k=0;k<3;k++) {
-                a = img[k][i][j];
-                if(a>255) a = 255;
-                else if(a<0) a=0;
-                else a = Math.round(a);
-                s1 = (s1 + a )%65521;
-                s2 = (s2 + s1)%65521;
-                stream.push(a);
-            }
-        }
-        stream.push(0);
-    }
-    adler32 = (s2<<16)+s1;
-    stream.push((adler32>>24)&255);
-    stream.push((adler32>>16)&255);
-    stream.push((adler32>>8)&255);
-    stream.push((adler32)&255);
-    length = stream.length - 41;
-    stream[33] = (length>>24)&255;
-    stream[34] = (length>>16)&255;
-    stream[35] = (length>>8)&255;
-    stream[36] = (length)&255;
-    crc32 = crc32Array(stream,37);
-    stream.push((crc32>>24)&255);
-    stream.push((crc32>>16)&255);
-    stream.push((crc32>>8)&255);
-    stream.push((crc32)&255);
-    stream.push(0);
-    stream.push(0);
-    stream.push(0);
-    stream.push(0);
-//    a = stream.length;
-    stream.push(73);  // I
-    stream.push(69);  // E
-    stream.push(78);  // N
-    stream.push(68);  // D
-    stream.push(174); // CRC1
-    stream.push(66);  // CRC2
-    stream.push(96);  // CRC3
-    stream.push(130); // CRC4
-    return 'data:image/png;base64,'+base64(stream);
-};
-
-// 2. Linear algebra with Arrays.
-numeric._dim = function _dim(x) {
-    var ret = [];
-    while(typeof x === "object") { ret.push(x.length); x = x[0]; }
-    return ret;
-};
-
-numeric.dim = function dim(x) {
-    var y,z;
-    if(typeof x === "object") {
-        y = x[0];
-        if(typeof y === "object") {
-            z = y[0];
-            if(typeof z === "object") {
-                return numeric._dim(x);
-            }
-            return [x.length,y.length];
-        }
-        return [x.length];
-    }
-    return [];
-};
-
-numeric.mapreduce = function mapreduce(body,init) {
-    return Function('x','accum','_s','_k',
-            'if(typeof accum === "undefined") accum = '+init+';\n'+
-            'if(typeof x === "number") { var xi = x; '+body+'; return accum; }\n'+
-            'if(typeof _s === "undefined") _s = numeric.dim(x);\n'+
-            'if(typeof _k === "undefined") _k = 0;\n'+
-            'var _n = _s[_k];\n'+
-            'var i,xi;\n'+
-            'if(_k < _s.length-1) {\n'+
-            '    for(i=_n-1;i>=0;i--) {\n'+
-            '        accum = arguments.callee(x[i],accum,_s,_k+1);\n'+
-            '    }'+
-            '    return accum;\n'+
-            '}\n'+
-            'for(i=_n-1;i>=1;i-=2) { \n'+
-            '    xi = x[i];\n'+
-            '    '+body+';\n'+
-            '    xi = x[i-1];\n'+
-            '    '+body+';\n'+
-            '}\n'+
-            'if(i === 0) {\n'+
-            '    xi = x[i];\n'+
-            '    '+body+'\n'+
-            '}\n'+
-            'return accum;'
-            );
-};
-numeric.mapreduce2 = function mapreduce2(body,setup) {
-    return Function('x',
-            'var n = x.length;\n'+
-            'var i,xi;\n'+setup+';\n'+
-            'for(i=n-1;i!==-1;--i) { \n'+
-            '    xi = x[i];\n'+
-            '    '+body+';\n'+
-            '}\n'+
-            'return accum;'
-            );
-};
-
-
-numeric.same = function same(x,y) {
-    var i,n;
-    if(!(x instanceof Array) || !(y instanceof Array)) { return false; }
-    n = x.length;
-    if(n !== y.length) { return false; }
-    for(i=0;i<n;i++) {
-        if(x[i] === y[i]) { continue; }
-        if(typeof x[i] === "object") { if(!same(x[i],y[i])) return false; }
-        else { return false; }
-    }
-    return true;
-};
-
-numeric.rep = function rep(s,v,k) {
-    if(typeof k === "undefined") { k=0; }
-    var n = s[k], ret = Array(n), i;
-    if(k === s.length-1) {
-        for(i=n-2;i>=0;i-=2) { ret[i+1] = v; ret[i] = v; }
-        if(i===-1) { ret[0] = v; }
-        return ret;
-    }
-    for(i=n-1;i>=0;i--) { ret[i] = numeric.rep(s,v,k+1); }
-    return ret;
-};
-
-
-numeric.dotMMsmall = function dotMMsmall(x,y) {
-    var i,j,k,p,q,r,ret,foo,bar,woo,i0,k0,p0,r0;
-    p = x.length; q = y.length; r = y[0].length;
-    ret = Array(p);
-    for(i=p-1;i>=0;i--) {
-        foo = Array(r);
-        bar = x[i];
-        for(k=r-1;k>=0;k--) {
-            woo = bar[q-1]*y[q-1][k];
-            for(j=q-2;j>=1;j-=2) {
-                i0 = j-1;
-                woo += bar[j]*y[j][k] + bar[i0]*y[i0][k];
-            }
-            if(j===0) { woo += bar[0]*y[0][k]; }
-            foo[k] = woo;
-        }
-        ret[i] = foo;
-    }
-    return ret;
-};
-numeric._getCol = function _getCol(A,j,x) {
-    var n = A.length, i;
-    for(i=n-1;i>0;--i) {
-        x[i] = A[i][j];
-        --i;
-        x[i] = A[i][j];
-    }
-    if(i===0) x[0] = A[0][j];
-};
-numeric.dotMMbig = function dotMMbig(x,y){
-    var gc = numeric._getCol, p = y.length, v = Array(p);
-    var m = x.length, n = y[0].length, A = new Array(m), xj;
-    var VV = numeric.dotVV;
-    var i,j,k,z;
-    --p;
-    --m;
-    for(i=m;i!==-1;--i) A[i] = Array(n);
-    --n;
-    for(i=n;i!==-1;--i) {
-        gc(y,i,v);
-        for(j=m;j!==-1;--j) {
-            z=0;
-            xj = x[j];
-            A[j][i] = VV(xj,v);
-        }
-    }
-    return A;
-};
-
-numeric.dotMV = function dotMV(x,y) {
-    var p = x.length, q = y.length,i;
-    var ret = Array(p), dotVV = numeric.dotVV;
-    for(i=p-1;i>=0;i--) { ret[i] = dotVV(x[i],y); }
-    return ret;
-};
-
-numeric.dotVM = function dotVM(x,y) {
-    var i,j,k,p,q,r,ret,foo,bar,woo,i0,k0,p0,r0,s1,s2,s3,baz,accum;
-    p = x.length; q = y[0].length;
-    ret = Array(q);
-    for(k=q-1;k>=0;k--) {
-        woo = x[p-1]*y[p-1][k];
-        for(j=p-2;j>=1;j-=2) {
-            i0 = j-1;
-            woo += x[j]*y[j][k] + x[i0]*y[i0][k];
-        }
-        if(j===0) { woo += x[0]*y[0][k]; }
-        ret[k] = woo;
-    }
-    return ret;
-};
-
-numeric.dotVV = function dotVV(x,y) {
-    var i,n=x.length,i1,ret = x[n-1]*y[n-1];
-    for(i=n-2;i>=1;i-=2) {
-        i1 = i-1;
-        ret += x[i]*y[i] + x[i1]*y[i1];
-    }
-    if(i===0) { ret += x[0]*y[0]; }
-    return ret;
-};
-
-numeric.dot = function dot(x,y) {
-    var d = numeric.dim;
-    switch(d(x).length*1000+d(y).length) {
-    case 2002:
-        if(y.length < 10) return numeric.dotMMsmall(x,y);
-        else return numeric.dotMMbig(x,y);
-    case 2001: return numeric.dotMV(x,y);
-    case 1002: return numeric.dotVM(x,y);
-    case 1001: return numeric.dotVV(x,y);
-    case 1000: return numeric.mulVS(x,y);
-    case 1: return numeric.mulSV(x,y);
-    case 0: return x*y;
-    default: throw new Error('numeric.dot only works on vectors and matrices');
-    }
-};
-
-numeric.diag = function diag(d) {
-    var i,i1,j,n = d.length, A = Array(n), Ai;
-    for(i=n-1;i>=0;i--) {
-        Ai = Array(n);
-        i1 = i+2;
-        for(j=n-1;j>=i1;j-=2) {
-            Ai[j] = 0;
-            Ai[j-1] = 0;
-        }
-        if(j>i) { Ai[j] = 0; }
-        Ai[i] = d[i];
-        for(j=i-1;j>=1;j-=2) {
-            Ai[j] = 0;
-            Ai[j-1] = 0;
-        }
-        if(j===0) { Ai[0] = 0; }
-        A[i] = Ai;
-    }
-    return A;
-};
-numeric.getDiag = function(A) {
-    var n = Math.min(A.length,A[0].length),i,ret = Array(n);
-    for(i=n-1;i>=1;--i) {
-        ret[i] = A[i][i];
-        --i;
-        ret[i] = A[i][i];
-    }
-    if(i===0) {
-        ret[0] = A[0][0];
-    }
-    return ret;
-};
-
-numeric.identity = function identity(n) { return numeric.diag(numeric.rep([n],1)); };
-numeric.pointwise = function pointwise(params,body,setup) {
-    if(typeof setup === "undefined") { setup = ""; }
-    var fun = [];
-    var k;
-    var avec = /\[i\]$/,p,thevec = '';
-    var haveret = false;
-    for(k=0;k<params.length;k++) {
-        if(avec.test(params[k])) {
-            p = params[k].substring(0,params[k].length-3);
-            thevec = p;
-        } else { p = params[k]; }
-        if(p==='ret') haveret = true;
-        fun.push(p);
-    }
-    fun[params.length] = '_s';
-    fun[params.length+1] = '_k';
-    fun[params.length+2] = (
-            'if(typeof _s === "undefined") _s = numeric.dim('+thevec+');\n'+
-            'if(typeof _k === "undefined") _k = 0;\n'+
-            'var _n = _s[_k];\n'+
-            'var i'+(haveret?'':', ret = Array(_n)')+';\n'+
-            'if(_k < _s.length-1) {\n'+
-            '    for(i=_n-1;i>=0;i--) ret[i] = arguments.callee('+params.join(',')+',_s,_k+1);\n'+
-            '    return ret;\n'+
-            '}\n'+
-            setup+'\n'+
-            'for(i=_n-1;i!==-1;--i) {\n'+
-            '    '+body+'\n'+
-            '}\n'+
-            'return ret;'
-            );
-    return Function.apply(null,fun);
-};
-numeric.pointwise2 = function pointwise2(params,body,setup) {
-    if(typeof setup === "undefined") { setup = ""; }
-    var fun = [];
-    var k;
-    var avec = /\[i\]$/,p,thevec = '';
-    var haveret = false;
-    for(k=0;k<params.length;k++) {
-        if(avec.test(params[k])) {
-            p = params[k].substring(0,params[k].length-3);
-            thevec = p;
-        } else { p = params[k]; }
-        if(p==='ret') haveret = true;
-        fun.push(p);
-    }
-    fun[params.length] = (
-            'var _n = '+thevec+'.length;\n'+
-            'var i'+(haveret?'':', ret = Array(_n)')+';\n'+
-            setup+'\n'+
-            'for(i=_n-1;i!==-1;--i) {\n'+
-            body+'\n'+
-            '}\n'+
-            'return ret;'
-            );
-    return Function.apply(null,fun);
-};
-numeric._biforeach = (function _biforeach(x,y,s,k,f) {
-    if(k === s.length-1) { f(x,y); return; }
-    var i,n=s[k];
-    for(i=n-1;i>=0;i--) { _biforeach(typeof x==="object"?x[i]:x,typeof y==="object"?y[i]:y,s,k+1,f); }
-});
-numeric._biforeach2 = (function _biforeach2(x,y,s,k,f) {
-    if(k === s.length-1) { return f(x,y); }
-    var i,n=s[k],ret = Array(n);
-    for(i=n-1;i>=0;--i) { ret[i] = _biforeach2(typeof x==="object"?x[i]:x,typeof y==="object"?y[i]:y,s,k+1,f); }
-    return ret;
-});
-numeric._foreach = (function _foreach(x,s,k,f) {
-    if(k === s.length-1) { f(x); return; }
-    var i,n=s[k];
-    for(i=n-1;i>=0;i--) { _foreach(x[i],s,k+1,f); }
-});
-numeric._foreach2 = (function _foreach2(x,s,k,f) {
-    if(k === s.length-1) { return f(x); }
-    var i,n=s[k], ret = Array(n);
-    for(i=n-1;i>=0;i--) { ret[i] = _foreach2(x[i],s,k+1,f); }
-    return ret;
-});
-
-/*numeric.anyV = numeric.mapreduce('if(xi) return true;','false');
-numeric.allV = numeric.mapreduce('if(!xi) return false;','true');
-numeric.any = function(x) { if(typeof x.length === "undefined") return x; return numeric.anyV(x); }
-numeric.all = function(x) { if(typeof x.length === "undefined") return x; return numeric.allV(x); }*/
-
-numeric.ops2 = {
-        add: '+',
-        sub: '-',
-        mul: '*',
-        div: '/',
-        mod: '%',
-        and: '&&',
-        or:  '||',
-        eq:  '===',
-        neq: '!==',
-        lt:  '<',
-        gt:  '>',
-        leq: '<=',
-        geq: '>=',
-        band: '&',
-        bor: '|',
-        bxor: '^',
-        lshift: '<<',
-        rshift: '>>',
-        rrshift: '>>>'
-};
-numeric.opseq = {
-        addeq: '+=',
-        subeq: '-=',
-        muleq: '*=',
-        diveq: '/=',
-        modeq: '%=',
-        lshifteq: '<<=',
-        rshifteq: '>>=',
-        rrshifteq: '>>>=',
-        bandeq: '&=',
-        boreq: '|=',
-        bxoreq: '^='
-};
-numeric.mathfuns = ['abs','acos','asin','atan','ceil','cos',
-                    'exp','floor','log','round','sin','sqrt','tan',
-                    'isNaN','isFinite'];
-numeric.mathfuns2 = ['atan2','pow','max','min'];
-numeric.ops1 = {
-        neg: '-',
-        not: '!',
-        bnot: '~',
-        clone: ''
-};
-numeric.mapreducers = {
-        any: ['if(xi) return true;','var accum = false;'],
-        all: ['if(!xi) return false;','var accum = true;'],
-        sum: ['accum += xi;','var accum = 0;'],
-        prod: ['accum *= xi;','var accum = 1;'],
-        norm2Squared: ['accum += xi*xi;','var accum = 0;'],
-        norminf: ['accum = max(accum,abs(xi));','var accum = 0, max = Math.max, abs = Math.abs;'],
-        norm1: ['accum += abs(xi)','var accum = 0, abs = Math.abs;'],
-        sup: ['accum = max(accum,xi);','var accum = -Infinity, max = Math.max;'],
-        inf: ['accum = min(accum,xi);','var accum = Infinity, min = Math.min;']
-};
-
-(function () {
-    var i,o;
-    for(i=0;i<numeric.mathfuns2.length;++i) {
-        o = numeric.mathfuns2[i];
-        numeric.ops2[o] = o;
-    }
-    for(i in numeric.ops2) {
-        if(numeric.ops2.hasOwnProperty(i)) {
-            o = numeric.ops2[i];
-            var code, codeeq, setup = '';
-            if(numeric.myIndexOf.call(numeric.mathfuns2,i)!==-1) {
-                setup = 'var '+o+' = Math.'+o+';\n';
-                code = function(r,x,y) { return r+' = '+o+'('+x+','+y+')'; };
-                codeeq = function(x,y) { return x+' = '+o+'('+x+','+y+')'; };
-            } else {
-                code = function(r,x,y) { return r+' = '+x+' '+o+' '+y; };
-                if(numeric.opseq.hasOwnProperty(i+'eq')) {
-                    codeeq = function(x,y) { return x+' '+o+'= '+y; };
-                } else {
-                    codeeq = function(x,y) { return x+' = '+x+' '+o+' '+y; };                    
-                }
-            }
-            numeric[i+'VV'] = numeric.pointwise2(['x[i]','y[i]'],code('ret[i]','x[i]','y[i]'),setup);
-            numeric[i+'SV'] = numeric.pointwise2(['x','y[i]'],code('ret[i]','x','y[i]'),setup);
-            numeric[i+'VS'] = numeric.pointwise2(['x[i]','y'],code('ret[i]','x[i]','y'),setup);
-            numeric[i] = Function(
-                    'var n = arguments.length, i, x = arguments[0], y;\n'+
-                    'var VV = numeric.'+i+'VV, VS = numeric.'+i+'VS, SV = numeric.'+i+'SV;\n'+
-                    'var dim = numeric.dim;\n'+
-                    'for(i=1;i!==n;++i) { \n'+
-                    '  y = arguments[i];\n'+
-                    '  if(typeof x === "object") {\n'+
-                    '      if(typeof y === "object") x = numeric._biforeach2(x,y,dim(x),0,VV);\n'+
-                    '      else x = numeric._biforeach2(x,y,dim(x),0,VS);\n'+
-                    '  } else if(typeof y === "object") x = numeric._biforeach2(x,y,dim(y),0,SV);\n'+
-                    '  else '+codeeq('x','y')+'\n'+
-                    '}\nreturn x;\n');
-            numeric[o] = numeric[i];
-            numeric[i+'eqV'] = numeric.pointwise2(['ret[i]','x[i]'], codeeq('ret[i]','x[i]'),setup);
-            numeric[i+'eqS'] = numeric.pointwise2(['ret[i]','x'], codeeq('ret[i]','x'),setup);
-            numeric[i+'eq'] = Function(
-                    'var n = arguments.length, i, x = arguments[0], y;\n'+
-                    'var V = numeric.'+i+'eqV, S = numeric.'+i+'eqS\n'+
-                    'var s = numeric.dim(x);\n'+
-                    'for(i=1;i!==n;++i) { \n'+
-                    '  y = arguments[i];\n'+
-                    '  if(typeof y === "object") numeric._biforeach(x,y,s,0,V);\n'+
-                    '  else numeric._biforeach(x,y,s,0,S);\n'+
-                    '}\nreturn x;\n');
-        }
-    }
-    for(i=0;i<numeric.mathfuns2.length;++i) {
-        o = numeric.mathfuns2[i];
-        delete numeric.ops2[o];
-    }
-    for(i=0;i<numeric.mathfuns.length;++i) {
-        o = numeric.mathfuns[i];
-        numeric.ops1[o] = o;
-    }
-    for(i in numeric.ops1) {
-        if(numeric.ops1.hasOwnProperty(i)) {
-            setup = '';
-            o = numeric.ops1[i];
-            if(numeric.myIndexOf.call(numeric.mathfuns,i)!==-1) {
-                if(Math.hasOwnProperty(o)) setup = 'var '+o+' = Math.'+o+';\n';
-            }
-            numeric[i+'eqV'] = numeric.pointwise2(['ret[i]'],'ret[i] = '+o+'(ret[i]);',setup);
-            numeric[i+'eq'] = Function('x',
-                    'if(typeof x !== "object") return '+o+'x\n'+
-                    'var i;\n'+
-                    'var V = numeric.'+i+'eqV;\n'+
-                    'var s = numeric.dim(x);\n'+
-                    'numeric._foreach(x,s,0,V);\n'+
-                    'return x;\n');
-            numeric[i+'V'] = numeric.pointwise2(['x[i]'],'ret[i] = '+o+'(x[i]);',setup);
-            numeric[i] = Function('x',
-                    'if(typeof x !== "object") return '+o+'(x)\n'+
-                    'var i;\n'+
-                    'var V = numeric.'+i+'V;\n'+
-                    'var s = numeric.dim(x);\n'+
-                    'return numeric._foreach2(x,s,0,V);\n');
-        }
-    }
-    for(i=0;i<numeric.mathfuns.length;++i) {
-        o = numeric.mathfuns[i];
-        delete numeric.ops1[o];
-    }
-    for(i in numeric.mapreducers) {
-        if(numeric.mapreducers.hasOwnProperty(i)) {
-            o = numeric.mapreducers[i];
-            numeric[i+'V'] = numeric.mapreduce2(o[0],o[1]);
-            numeric[i] = Function('x','s','k',
-                    o[1]+
-                    'if(typeof x !== "object") {'+
-                    '    xi = x;\n'+
-                    o[0]+';\n'+
-                    '    return accum;\n'+
-                    '}'+
-                    'if(typeof s === "undefined") s = numeric.dim(x);\n'+
-                    'if(typeof k === "undefined") k = 0;\n'+
-                    'if(k === s.length-1) return numeric.'+i+'V(x);\n'+
-                    'var xi;\n'+
-                    'var n = x.length, i;\n'+
-                    'for(i=n-1;i!==-1;--i) {\n'+
-                    '   xi = arguments.callee(x[i]);\n'+
-                    o[0]+';\n'+
-                    '}\n'+
-                    'return accum;\n');
-        }
-    }
-}());
-
-numeric.truncVV = numeric.pointwise(['x[i]','y[i]'],'ret[i] = round(x[i]/y[i])*y[i];','var round = Math.round;');
-numeric.truncVS = numeric.pointwise(['x[i]','y'],'ret[i] = round(x[i]/y)*y;','var round = Math.round;');
-numeric.truncSV = numeric.pointwise(['x','y[i]'],'ret[i] = round(x/y[i])*y[i];','var round = Math.round;');
-numeric.trunc = function trunc(x,y) {
-    if(typeof x === "object") {
-        if(typeof y === "object") return numeric.truncVV(x,y);
-        return numeric.truncVS(x,y);
-    }
-    if (typeof y === "object") return numeric.truncSV(x,y);
-    return Math.round(x/y)*y;
-};
-
-numeric.inv = function inv(x) {
-    var s = numeric.dim(x), abs = Math.abs, m = s[0], n = s[1];
-    var A = numeric.clone(x), Ai, Aj;
-    var I = numeric.identity(m), Ii, Ij;
-    var i,j,k,x;
-    for(j=0;j<n;++j) {
-        var i0 = -1;
-        var v0 = -1;
-        for(i=j;i!==m;++i) { k = abs(A[i][j]); if(k>v0) { i0 = i; v0 = k; } }
-        Aj = A[i0]; A[i0] = A[j]; A[j] = Aj;
-        Ij = I[i0]; I[i0] = I[j]; I[j] = Ij;
-        x = Aj[j];
-        for(k=j;k!==n;++k)    Aj[k] /= x; 
-        for(k=n-1;k!==-1;--k) Ij[k] /= x;
-        for(i=m-1;i!==-1;--i) {
-            if(i!==j) {
-                Ai = A[i];
-                Ii = I[i];
-                x = Ai[j];
-                for(k=j+1;k!==n;++k)  Ai[k] -= Aj[k]*x;
-                for(k=n-1;k>0;--k) { Ii[k] -= Ij[k]*x; --k; Ii[k] -= Ij[k]*x; }
-                if(k===0) Ii[0] -= Ij[0]*x;
-            }
-        }
-    }
-    return I;
-};
-
-numeric.det = function det(x) {
-    var s = numeric.dim(x);
-    if(s.length !== 2 || s[0] !== s[1]) { throw new Error('numeric: det() only works on square matrices'); }
-    var n = s[0], ret = 1,i,j,k,A = numeric.clone(x),Aj,Ai,alpha,temp,k1,k2,k3;
-    for(j=0;j<n-1;j++) {
-        k=j;
-        for(i=j+1;i<n;i++) { if(Math.abs(A[i][j]) > Math.abs(A[k][j])) { k = i; } }
-        if(k !== j) {
-            temp = A[k]; A[k] = A[j]; A[j] = temp;
-            ret *= -1;
-        }
-        Aj = A[j];
-        for(i=j+1;i<n;i++) {
-            Ai = A[i];
-            alpha = Ai[j]/Aj[j];
-            for(k=j+1;k<n-1;k+=2) {
-                k1 = k+1;
-                Ai[k] -= Aj[k]*alpha;
-                Ai[k1] -= Aj[k1]*alpha;
-            }
-            if(k!==n) { Ai[k] -= Aj[k]*alpha; }
-        }
-        if(Aj[j] === 0) { return 0; }
-        ret *= Aj[j];
-    }
-    return ret*A[j][j];
-};
-
-numeric.transpose = function transpose(x) {
-    var i,j,m = x.length,n = x[0].length, ret=Array(n),A0,A1,Bj;
-    for(j=0;j<n;j++) ret[j] = Array(m);
-    for(i=m-1;i>=1;i-=2) {
-        A1 = x[i];
-        A0 = x[i-1];
-        for(j=n-1;j>=1;--j) {
-            Bj = ret[j]; Bj[i] = A1[j]; Bj[i-1] = A0[j];
-            --j;
-            Bj = ret[j]; Bj[i] = A1[j]; Bj[i-1] = A0[j];
-        }
-        if(j===0) {
-            Bj = ret[0]; Bj[i] = A1[0]; Bj[i-1] = A0[0];
-        }
-    }
-    if(i===0) {
-        A0 = x[0];
-        for(j=n-1;j>=1;--j) {
-            ret[j][0] = A0[j];
-            --j;
-            ret[j][0] = A0[j];
-        }
-        if(j===0) { ret[0][0] = A0[0]; }
-    }
-    return ret;
-};
-numeric.negtranspose = function negtranspose(x) {
-    var i,j,m = x.length,n = x[0].length, ret=Array(n),A0,A1,Bj;
-    for(j=0;j<n;j++) ret[j] = Array(m);
-    for(i=m-1;i>=1;i-=2) {
-        A1 = x[i];
-        A0 = x[i-1];
-        for(j=n-1;j>=1;--j) {
-            Bj = ret[j]; Bj[i] = -A1[j]; Bj[i-1] = -A0[j];
-            --j;
-            Bj = ret[j]; Bj[i] = -A1[j]; Bj[i-1] = -A0[j];
-        }
-        if(j===0) {
-            Bj = ret[0]; Bj[i] = -A1[0]; Bj[i-1] = -A0[0];
-        }
-    }
-    if(i===0) {
-        A0 = x[0];
-        for(j=n-1;j>=1;--j) {
-            ret[j][0] = -A0[j];
-            --j;
-            ret[j][0] = -A0[j];
-        }
-        if(j===0) { ret[0][0] = -A0[0]; }
-    }
-    return ret;
-};
-
-numeric._random = function _random(s,k) {
-    var i,n=s[k],ret=Array(n), rnd;
-    if(k === s.length-1) {
-        rnd = Math.random;
-        for(i=n-1;i>=1;i-=2) {
-            ret[i] = rnd();
-            ret[i-1] = rnd();
-        }
-        if(i===0) { ret[0] = rnd(); }
-        return ret;
-    }
-    for(i=n-1;i>=0;i--) ret[i] = _random(s,k+1);
-    return ret;
-};
-numeric.random = function random(s) { return numeric._random(s,0); };
-
-numeric.norm2 = function norm2(x) { return Math.sqrt(numeric.norm2Squared(x)); };
-
-numeric.linspace = function linspace(a,b,n) {
-    if(typeof n === "undefined") n = Math.max(Math.round(b-a)+1,1);
-    if(n<2) { return n===1?[a]:[]; }
-    var i,ret = Array(n);
-    n--;
-    for(i=n;i>=0;i--) { ret[i] = (i*b+(n-i)*a)/n; }
-    return ret;
-};
-
-numeric.getBlock = function getBlock(x,from,to) {
-    var s = numeric.dim(x);
-    function foo(x,k) {
-        var i,a = from[k], n = to[k]-a, ret = Array(n);
-        if(k === s.length-1) {
-            for(i=n;i>=0;i--) { ret[i] = x[i+a]; }
-            return ret;
-        }
-        for(i=n;i>=0;i--) { ret[i] = foo(x[i+a],k+1); }
-        return ret;
-    }
-    return foo(x,0);
-};
-
-numeric.setBlock = function setBlock(x,from,to,B) {
-    var s = numeric.dim(x);
-    function foo(x,y,k) {
-        var i,a = from[k], n = to[k]-a;
-        if(k === s.length-1) { for(i=n;i>=0;i--) { x[i+a] = y[i]; } }
-        for(i=n;i>=0;i--) { foo(x[i+a],y[i],k+1); }
-    }
-    foo(x,B,0);
-    return x;
-};
-
-numeric.getRange = function getRange(A,I,J) {
-    var m = I.length, n = J.length;
-    var i,j;
-    var B = Array(m), Bi, AI;
-    for(i=m-1;i!==-1;--i) {
-        B[i] = Array(n);
-        Bi = B[i];
-        AI = A[I[i]];
-        for(j=n-1;j!==-1;--j) Bi[j] = AI[J[j]];
-    }
-    return B;
-};
-
-numeric.blockMatrix = function blockMatrix(X) {
-    var s = numeric.dim(X);
-    if(s.length<4) return numeric.blockMatrix([X]);
-    var m=s[0],n=s[1],M,N,i,j,Xij;
-    M = 0; N = 0;
-    for(i=0;i<m;++i) M+=X[i][0].length;
-    for(j=0;j<n;++j) N+=X[0][j][0].length;
-    var Z = Array(M);
-    for(i=0;i<M;++i) Z[i] = Array(N);
-    var I=0,J,ZI,k,l,Xijk;
-    for(i=0;i<m;++i) {
-        J=N;
-        for(j=n-1;j!==-1;--j) {
-            Xij = X[i][j];
-            J -= Xij[0].length;
-            for(k=Xij.length-1;k!==-1;--k) {
-                Xijk = Xij[k];
-                ZI = Z[I+k];
-                for(l = Xijk.length-1;l!==-1;--l) ZI[J+l] = Xijk[l];
-            }
-        }
-        I += X[i][0].length;
-    }
-    return Z;
-};
-
-numeric.tensor = function tensor(x,y) {
-    if(typeof x === "number" || typeof y === "number") return numeric.mul(x,y);
-    var s1 = numeric.dim(x), s2 = numeric.dim(y);
-    if(s1.length !== 1 || s2.length !== 1) {
-        throw new Error('numeric: tensor product is only defined for vectors');
-    }
-    var m = s1[0], n = s2[0], A = Array(m), Ai, i,j,xi;
-    for(i=m-1;i>=0;i--) {
-        Ai = Array(n);
-        xi = x[i];
-        for(j=n-1;j>=3;--j) {
-            Ai[j] = xi * y[j];
-            --j;
-            Ai[j] = xi * y[j];
-            --j;
-            Ai[j] = xi * y[j];
-            --j;
-            Ai[j] = xi * y[j];
-        }
-        while(j>=0) { Ai[j] = xi * y[j]; --j; }
-        A[i] = Ai;
-    }
-    return A;
-};
-
-// 3. The Tensor type T
-numeric.T = function T(x,y) { this.x = x; this.y = y; };
-numeric.t = function t(x,y) { return new numeric.T(x,y); };
-
-numeric.Tbinop = function Tbinop(rr,rc,cr,cc,setup) {
-    var io = numeric.indexOf;
-    if(typeof setup !== "string") {
-        var k;
-        setup = '';
-        for(k in numeric) {
-            if(numeric.hasOwnProperty(k) && (rr.indexOf(k)>=0 || rc.indexOf(k)>=0 || cr.indexOf(k)>=0 || cc.indexOf(k)>=0) && k.length>1) {
-                setup += 'var '+k+' = numeric.'+k+';\n';
-            }
-        }
-    }
-    return Function(['y'],
-            'var x = this;\n'+
-            'if(!(y instanceof numeric.T)) { y = new numeric.T(y); }\n'+
-            setup+'\n'+
-            'if(x.y) {'+
-            '  if(y.y) {'+
-            '    return new numeric.T('+cc+');\n'+
-            '  }\n'+
-            '  return new numeric.T('+cr+');\n'+
-            '}\n'+
-            'if(y.y) {\n'+
-            '  return new numeric.T('+rc+');\n'+
-            '}\n'+
-            'return new numeric.T('+rr+');\n'
-    );
-};
-
-numeric.T.prototype.add = numeric.Tbinop(
-        'add(x.x,y.x)',
-        'add(x.x,y.x),y.y',
-        'add(x.x,y.x),x.y',
-        'add(x.x,y.x),add(x.y,y.y)');
-numeric.T.prototype.sub = numeric.Tbinop(
-        'sub(x.x,y.x)',
-        'sub(x.x,y.x),neg(y.y)',
-        'sub(x.x,y.x),x.y',
-        'sub(x.x,y.x),sub(x.y,y.y)');
-numeric.T.prototype.mul = numeric.Tbinop(
-        'mul(x.x,y.x)',
-        'mul(x.x,y.x),mul(x.x,y.y)',
-        'mul(x.x,y.x),mul(x.y,y.x)',
-        'sub(mul(x.x,y.x),mul(x.y,y.y)),add(mul(x.x,y.y),mul(x.y,y.x))');
-
-numeric.T.prototype.reciprocal = function reciprocal() {
-    var mul = numeric.mul, div = numeric.div;
-    if(this.y) {
-        var d = numeric.add(mul(this.x,this.x),mul(this.y,this.y));
-        return new numeric.T(div(this.x,d),div(numeric.neg(this.y),d));
-    }
-    return new T(div(1,this.x));
-};
-numeric.T.prototype.div = function div(y) {
-    if(!(y instanceof numeric.T)) y = new numeric.T(y);
-    if(y.y) { return this.mul(y.reciprocal()); }
-    var div = numeric.div;
-    if(this.y) { return new numeric.T(div(this.x,y.x),div(this.y,y.x)); }
-    return new numeric.T(div(this.x,y.x));
-};
-numeric.T.prototype.dot = numeric.Tbinop(
-        'dot(x.x,y.x)',
-        'dot(x.x,y.x),dot(x.x,y.y)',
-        'dot(x.x,y.x),dot(x.y,y.x)',
-        'sub(dot(x.x,y.x),dot(x.y,y.y)),add(dot(x.x,y.y),dot(x.y,y.x))'
-        );
-numeric.T.prototype.transpose = function transpose() {
-    var t = numeric.transpose, x = this.x, y = this.y;
-    if(y) { return new numeric.T(t(x),t(y)); }
-    return new numeric.T(t(x));
-};
-numeric.T.prototype.transjugate = function transjugate() {
-    var t = numeric.transpose, x = this.x, y = this.y;
-    if(y) { return new numeric.T(t(x),numeric.negtranspose(y)); }
-    return new numeric.T(t(x));
-};
-numeric.Tunop = function Tunop(r,c,s) {
-    if(typeof s !== "string") { s = ''; }
-    return Function(
-            'var x = this;\n'+
-            s+'\n'+
-            'if(x.y) {'+
-            '  '+c+';\n'+
-            '}\n'+
-            r+';\n'
-    );
-};
-
-numeric.T.prototype.exp = numeric.Tunop(
-        'return new numeric.T(ex)',
-        'return new numeric.T(mul(cos(x.y),ex),mul(sin(x.y),ex))',
-        'var ex = numeric.exp(x.x), cos = numeric.cos, sin = numeric.sin, mul = numeric.mul;');
-numeric.T.prototype.conj = numeric.Tunop(
-        'return new numeric.T(x.x);',
-        'return new numeric.T(x.x,numeric.neg(x.y));');
-numeric.T.prototype.neg = numeric.Tunop(
-        'return new numeric.T(neg(x.x));',
-        'return new numeric.T(neg(x.x),neg(x.y));',
-        'var neg = numeric.neg;');
-numeric.T.prototype.sin = numeric.Tunop(
-        'return new numeric.T(numeric.sin(x.x))',
-        'return x.exp().sub(x.neg().exp()).div(new numeric.T(0,2));');
-numeric.T.prototype.cos = numeric.Tunop(
-        'return new numeric.T(numeric.cos(x.x))',
-        'return x.exp().add(x.neg().exp()).div(2);');
-numeric.T.prototype.abs = numeric.Tunop(
-        'return new numeric.T(numeric.abs(x.x));',
-        'return new numeric.T(numeric.sqrt(numeric.add(mul(x.x,x.x),mul(x.y,x.y))));',
-        'var mul = numeric.mul;');
-numeric.T.prototype.log = numeric.Tunop(
-        'return new numeric.T(numeric.log(x.x));',
-        'var theta = new numeric.T(numeric.atan2(x.y,x.x)), r = x.abs();\n'+
-        'return new numeric.T(numeric.log(r.x),theta.x);');
-numeric.T.prototype.norm2 = numeric.Tunop(
-        'return numeric.norm2(x.x);',
-        'var f = numeric.norm2Squared;\n'+
-        'return Math.sqrt(f(x.x)+f(x.y));');
-numeric.T.prototype.inv = function inv() {
-    var A = this;
-    if(typeof A.y === "undefined") { return new numeric.T(numeric.inv(A.x)); }
-    var n = A.x.length, i, j, k;
-    var Rx = numeric.identity(n),Ry = numeric.rep([n,n],0);
-    var Ax = numeric.clone(A.x), Ay = numeric.clone(A.y);
-    var Aix, Aiy, Ajx, Ajy, Rix, Riy, Rjx, Rjy;
-    var i,j,k,d,d1,ax,ay,bx,by,temp;
-    for(i=0;i<n;i++) {
-        ax = Ax[i][i]; ay = Ay[i][i];
-        d = ax*ax+ay*ay;
-        k = i;
-        for(j=i+1;j<n;j++) {
-            ax = Ax[j][i]; ay = Ay[j][i];
-            d1 = ax*ax+ay*ay;
-            if(d1 > d) { k=j; d = d1; }
-        }
-        if(k!==i) {
-            temp = Ax[i]; Ax[i] = Ax[k]; Ax[k] = temp;
-            temp = Ay[i]; Ay[i] = Ay[k]; Ay[k] = temp;
-            temp = Rx[i]; Rx[i] = Rx[k]; Rx[k] = temp;
-            temp = Ry[i]; Ry[i] = Ry[k]; Ry[k] = temp;
-        }
-        Aix = Ax[i]; Aiy = Ay[i];
-        Rix = Rx[i]; Riy = Ry[i];
-        ax = Aix[i]; ay = Aiy[i];
-        for(j=i+1;j<n;j++) {
-            bx = Aix[j]; by = Aiy[j];
-            Aix[j] = (bx*ax+by*ay)/d;
-            Aiy[j] = (by*ax-bx*ay)/d;
-        }
-        for(j=0;j<n;j++) {
-            bx = Rix[j]; by = Riy[j];
-            Rix[j] = (bx*ax+by*ay)/d;
-            Riy[j] = (by*ax-bx*ay)/d;
-        }
-        for(j=i+1;j<n;j++) {
-            Ajx = Ax[j]; Ajy = Ay[j];
-            Rjx = Rx[j]; Rjy = Ry[j];
-            ax = Ajx[i]; ay = Ajy[i];
-            for(k=i+1;k<n;k++) {
-                bx = Aix[k]; by = Aiy[k];
-                Ajx[k] -= bx*ax-by*ay;
-                Ajy[k] -= by*ax+bx*ay;
-            }
-            for(k=0;k<n;k++) {
-                bx = Rix[k]; by = Riy[k];
-                Rjx[k] -= bx*ax-by*ay;
-                Rjy[k] -= by*ax+bx*ay;
-            }
-        }
-    }
-    for(i=n-1;i>0;i--) {
-        Rix = Rx[i]; Riy = Ry[i];
-        for(j=i-1;j>=0;j--) {
-            Rjx = Rx[j]; Rjy = Ry[j];
-            ax = Ax[j][i]; ay = Ay[j][i];
-            for(k=n-1;k>=0;k--) {
-                bx = Rix[k]; by = Riy[k];
-                Rjx[k] -= ax*bx - ay*by;
-                Rjy[k] -= ax*by + ay*bx;
-            }
-        }
-    }
-    return new numeric.T(Rx,Ry);
-};
-numeric.T.prototype.get = function get(i) {
-    var x = this.x, y = this.y, k = 0, ik, n = i.length;
-    if(y) {
-        while(k<n) {
-            ik = i[k];
-            x = x[ik];
-            y = y[ik];
-            k++;
-        }
-        return new numeric.T(x,y);
-    }
-    while(k<n) {
-        ik = i[k];
-        x = x[ik];
-        k++;
-    }
-    return new numeric.T(x);
-};
-numeric.T.prototype.set = function set(i,v) {
-    var x = this.x, y = this.y, k = 0, ik, n = i.length, vx = v.x, vy = v.y;
-    if(n===0) {
-        if(vy) { this.y = vy; }
-        else if(y) { this.y = undefined; }
-        this.x = x;
-        return this;
-    }
-    if(vy) {
-        if(y) { /* ok */ }
-        else {
-            y = numeric.rep(numeric.dim(x),0);
-            this.y = y;
-        }
-        while(k<n-1) {
-            ik = i[k];
-            x = x[ik];
-            y = y[ik];
-            k++;
-        }
-        ik = i[k];
-        x[ik] = vx;
-        y[ik] = vy;
-        return this;
-    }
-    if(y) {
-        while(k<n-1) {
-            ik = i[k];
-            x = x[ik];
-            y = y[ik];
-            k++;
-        }
-        ik = i[k];
-        x[ik] = vx;
-        if(vx instanceof Array) y[ik] = numeric.rep(numeric.dim(vx),0);
-        else y[ik] = 0;
-        return this;
-    }
-    while(k<n-1) {
-        ik = i[k];
-        x = x[ik];
-        k++;
-    }
-    ik = i[k];
-    x[ik] = vx;
-    return this;
-};
-numeric.T.prototype.getRows = function getRows(i0,i1) {
-    var n = i1-i0+1, j;
-    var rx = Array(n), ry, x = this.x, y = this.y;
-    for(j=i0;j<=i1;j++) { rx[j-i0] = x[j]; }
-    if(y) {
-        ry = Array(n);
-        for(j=i0;j<=i1;j++) { ry[j-i0] = y[j]; }
-        return new numeric.T(rx,ry);
-    }
-    return new numeric.T(rx);
-};
-numeric.T.prototype.setRows = function setRows(i0,i1,A) {
-    var j;
-    var rx = this.x, ry = this.y, x = A.x, y = A.y;
-    for(j=i0;j<=i1;j++) { rx[j] = x[j-i0]; }
-    if(y) {
-        if(!ry) { ry = numeric.rep(numeric.dim(rx),0); this.y = ry; }
-        for(j=i0;j<=i1;j++) { ry[j] = y[j-i0]; }
-    } else if(ry) {
-        for(j=i0;j<=i1;j++) { ry[j] = numeric.rep([x[j-i0].length],0); }
-    }
-    return this;
-};
-numeric.T.prototype.getRow = function getRow(k) {
-    var x = this.x, y = this.y;
-    if(y) { return new numeric.T(x[k],y[k]); }
-    return new numeric.T(x[k]);
-};
-numeric.T.prototype.setRow = function setRow(i,v) {
-    var rx = this.x, ry = this.y, x = v.x, y = v.y;
-    rx[i] = x;
-    if(y) {
-        if(!ry) { ry = numeric.rep(numeric.dim(rx),0); this.y = ry; }
-        ry[i] = y;
-    } else if(ry) {
-        ry = numeric.rep([x.length],0);
-    }
-    return this;
-};
-
-numeric.T.prototype.getBlock = function getBlock(from,to) {
-    var x = this.x, y = this.y, b = numeric.getBlock;
-    if(y) { return new numeric.T(b(x,from,to),b(y,from,to)); }
-    return new numeric.T(b(x,from,to));
-};
-numeric.T.prototype.setBlock = function setBlock(from,to,A) {
-    if(!(A instanceof numeric.T)) A = new numeric.T(A);
-    var x = this.x, y = this.y, b = numeric.setBlock, Ax = A.x, Ay = A.y;
-    if(Ay) {
-        if(!y) { this.y = numeric.rep(numeric.dim(this),0); y = this.y; }
-        b(x,from,to,Ax);
-        b(y,from,to,Ay);
-        return this;
-    }
-    b(x,from,to,Ax);
-    if(y) b(y,from,to,numeric.rep(numeric.dim(Ax),0));
-};
-numeric.T.rep = function rep(s,v) {
-    var T = numeric.T;
-    if(!(v instanceof T)) v = new T(v);
-    var x = v.x, y = v.y, r = numeric.rep;
-    if(y) return new T(r(s,x),r(s,y));
-    return new T(r(s,x));
-};
-numeric.T.diag = function diag(d) {
-    if(!(d instanceof numeric.T)) d = new numeric.T(d);
-    var x = d.x, y = d.y, diag = numeric.diag;
-    if(y) return new numeric.T(diag(x),diag(y));
-    return new numeric.T(diag(x));
-};
-numeric.T.eig = function eig() {
-    if(this.y) { throw new Error('eig: not implemented for complex matrices.'); }
-    return numeric.eig(this.x);
-};
-numeric.T.identity = function identity(n) { return new numeric.T(numeric.identity(n)); };
-numeric.T.prototype.getDiag = function getDiag() {
-    var n = numeric;
-    var x = this.x, y = this.y;
-    if(y) { return new n.T(n.getDiag(x),n.getDiag(y)); }
-    return new n.T(n.getDiag(x));
-};
-
-// 4. Eigenvalues of real matrices
-
-numeric.house = function house(x) {
-    var v = numeric.clone(x);
-    var s = x[0] >= 0 ? 1 : -1;
-    var alpha = s*numeric.norm2(x);
-    v[0] += alpha;
-    var foo = numeric.norm2(v);
-    if(foo === 0) { /* this should not happen */ throw new Error('eig: internal error'); }
-    return numeric.div(v,foo);
-};
-
-numeric.toUpperHessenberg = function toUpperHessenberg(me) {
-    var s = numeric.dim(me);
-    if(s.length !== 2 || s[0] !== s[1]) { throw new Error('numeric: toUpperHessenberg() only works on square matrices'); }
-    var m = s[0], i,j,k,x,v,A = numeric.clone(me),B,C,Ai,Ci,Q = numeric.identity(m),Qi;
-    for(j=0;j<m-2;j++) {
-        x = Array(m-j-1);
-        for(i=j+1;i<m;i++) { x[i-j-1] = A[i][j]; }
-        if(numeric.norm2(x)>0) {
-            v = numeric.house(x);
-            B = numeric.getBlock(A,[j+1,j],[m-1,m-1]);
-            C = numeric.tensor(v,numeric.dot(v,B));
-            for(i=j+1;i<m;i++) { Ai = A[i]; Ci = C[i-j-1]; for(k=j;k<m;k++) Ai[k] -= 2*Ci[k-j]; }
-            B = numeric.getBlock(A,[0,j+1],[m-1,m-1]);
-            C = numeric.tensor(numeric.dot(B,v),v);
-            for(i=0;i<m;i++) { Ai = A[i]; Ci = C[i]; for(k=j+1;k<m;k++) Ai[k] -= 2*Ci[k-j-1]; }
-            B = Array(m-j-1);
-            for(i=j+1;i<m;i++) B[i-j-1] = Q[i];
-            C = numeric.tensor(v,numeric.dot(v,B));
-            for(i=j+1;i<m;i++) { Qi = Q[i]; Ci = C[i-j-1]; for(k=0;k<m;k++) Qi[k] -= 2*Ci[k]; }
-        }
-    }
-    return {H:A, Q:Q};
-};
-
-numeric.epsilon = 2.220446049250313e-16;
-
-numeric.QRFrancis = function(H,maxiter) {
-    if(typeof maxiter === "undefined") { maxiter = 10000; }
-    H = numeric.clone(H);
-    var H0 = numeric.clone(H);
-    var s = numeric.dim(H),m=s[0],x,v,a,b,c,d,det,tr, Hloc, Q = numeric.identity(m), Qi, Hi, B, C, Ci,i,j,k,iter;
-    if(m<3) { return {Q:Q, B:[ [0,m-1] ]}; }
-    var epsilon = numeric.epsilon;
-    for(iter=0;iter<maxiter;iter++) {
-        for(j=0;j<m-1;j++) {
-            if(Math.abs(H[j+1][j]) < epsilon*(Math.abs(H[j][j])+Math.abs(H[j+1][j+1]))) {
-                var QH1 = numeric.QRFrancis(numeric.getBlock(H,[0,0],[j,j]),maxiter);
-                var QH2 = numeric.QRFrancis(numeric.getBlock(H,[j+1,j+1],[m-1,m-1]),maxiter);
-                B = Array(j+1);
-                for(i=0;i<=j;i++) { B[i] = Q[i]; }
-                C = numeric.dot(QH1.Q,B);
-                for(i=0;i<=j;i++) { Q[i] = C[i]; }
-                B = Array(m-j-1);
-                for(i=j+1;i<m;i++) { B[i-j-1] = Q[i]; }
-                C = numeric.dot(QH2.Q,B);
-                for(i=j+1;i<m;i++) { Q[i] = C[i-j-1]; }
-                return {Q:Q,B:QH1.B.concat(numeric.add(QH2.B,j+1))};
-            }
-        }
-        a = H[m-2][m-2]; b = H[m-2][m-1];
-        c = H[m-1][m-2]; d = H[m-1][m-1];
-        tr = a+d;
-        det = (a*d-b*c);
-        Hloc = numeric.getBlock(H, [0,0], [2,2]);
-        if(tr*tr>=4*det) {
-            var s1,s2;
-            s1 = 0.5*(tr+Math.sqrt(tr*tr-4*det));
-            s2 = 0.5*(tr-Math.sqrt(tr*tr-4*det));
-            Hloc = numeric.add(numeric.sub(numeric.dot(Hloc,Hloc),
-                                           numeric.mul(Hloc,s1+s2)),
-                               numeric.diag(numeric.rep([3],s1*s2)));
-        } else {
-            Hloc = numeric.add(numeric.sub(numeric.dot(Hloc,Hloc),
-                                           numeric.mul(Hloc,tr)),
-                               numeric.diag(numeric.rep([3],det)));
-        }
-        x = [Hloc[0][0],Hloc[1][0],Hloc[2][0]];
-        v = numeric.house(x);
-        B = [H[0],H[1],H[2]];
-        C = numeric.tensor(v,numeric.dot(v,B));
-        for(i=0;i<3;i++) { Hi = H[i]; Ci = C[i]; for(k=0;k<m;k++) Hi[k] -= 2*Ci[k]; }
-        B = numeric.getBlock(H, [0,0],[m-1,2]);
-        C = numeric.tensor(numeric.dot(B,v),v);
-        for(i=0;i<m;i++) { Hi = H[i]; Ci = C[i]; for(k=0;k<3;k++) Hi[k] -= 2*Ci[k]; }
-        B = [Q[0],Q[1],Q[2]];
-        C = numeric.tensor(v,numeric.dot(v,B));
-        for(i=0;i<3;i++) { Qi = Q[i]; Ci = C[i]; for(k=0;k<m;k++) Qi[k] -= 2*Ci[k]; }
-        var J;
-        for(j=0;j<m-2;j++) {
-            for(k=j;k<=j+1;k++) {
-                if(Math.abs(H[k+1][k]) < epsilon*(Math.abs(H[k][k])+Math.abs(H[k+1][k+1]))) {
-                    var QH1 = numeric.QRFrancis(numeric.getBlock(H,[0,0],[k,k]),maxiter);
-                    var QH2 = numeric.QRFrancis(numeric.getBlock(H,[k+1,k+1],[m-1,m-1]),maxiter);
-                    B = Array(k+1);
-                    for(i=0;i<=k;i++) { B[i] = Q[i]; }
-                    C = numeric.dot(QH1.Q,B);
-                    for(i=0;i<=k;i++) { Q[i] = C[i]; }
-                    B = Array(m-k-1);
-                    for(i=k+1;i<m;i++) { B[i-k-1] = Q[i]; }
-                    C = numeric.dot(QH2.Q,B);
-                    for(i=k+1;i<m;i++) { Q[i] = C[i-k-1]; }
-                    return {Q:Q,B:QH1.B.concat(numeric.add(QH2.B,k+1))};
-                }
-            }
-            J = Math.min(m-1,j+3);
-            x = Array(J-j);
-            for(i=j+1;i<=J;i++) { x[i-j-1] = H[i][j]; }
-            v = numeric.house(x);
-            B = numeric.getBlock(H, [j+1,j],[J,m-1]);
-            C = numeric.tensor(v,numeric.dot(v,B));
-            for(i=j+1;i<=J;i++) { Hi = H[i]; Ci = C[i-j-1]; for(k=j;k<m;k++) Hi[k] -= 2*Ci[k-j]; }
-            B = numeric.getBlock(H, [0,j+1],[m-1,J]);
-            C = numeric.tensor(numeric.dot(B,v),v);
-            for(i=0;i<m;i++) { Hi = H[i]; Ci = C[i]; for(k=j+1;k<=J;k++) Hi[k] -= 2*Ci[k-j-1]; }
-            B = Array(J-j);
-            for(i=j+1;i<=J;i++) B[i-j-1] = Q[i];
-            C = numeric.tensor(v,numeric.dot(v,B));
-            for(i=j+1;i<=J;i++) { Qi = Q[i]; Ci = C[i-j-1]; for(k=0;k<m;k++) Qi[k] -= 2*Ci[k]; }
-        }
-    }
-    throw new Error('numeric: eigenvalue iteration does not converge -- increase maxiter?');
-};
-
-numeric.eig = function eig(A,maxiter) {
-    var QH = numeric.toUpperHessenberg(A);
-    var QB = numeric.QRFrancis(QH.H,maxiter);
-    var T = numeric.T;
-    var n = A.length,i,k,flag = false,B = QB.B,H = numeric.dot(QB.Q,numeric.dot(QH.H,numeric.transpose(QB.Q)));
-    var Q = new T(numeric.dot(QB.Q,QH.Q)),Q0;
-    var m = B.length,j;
-    var a,b,c,d,p1,p2,disc,x,y,p,q,n1,n2;
-    var sqrt = Math.sqrt;
-    for(k=0;k<m;k++) {
-        i = B[k][0];
-        if(i === B[k][1]) {
-            // nothing
-        } else {
-            j = i+1;
-            a = H[i][i];
-            b = H[i][j];
-            c = H[j][i];
-            d = H[j][j];
-            if(b === 0 && c === 0) continue;
-            p1 = -a-d;
-            p2 = a*d-b*c;
-            disc = p1*p1-4*p2;
-            if(disc>=0) {
-                if(p1<0) x = -0.5*(p1-sqrt(disc));
-                else     x = -0.5*(p1+sqrt(disc));
-                n1 = (a-x)*(a-x)+b*b;
-                n2 = c*c+(d-x)*(d-x);
-                if(n1>n2) {
-                    n1 = sqrt(n1);
-                    p = (a-x)/n1;
-                    q = b/n1;
-                } else {
-                    n2 = sqrt(n2);
-                    p = c/n2;
-                    q = (d-x)/n2;
-                }
-                Q0 = new T([[q,-p],[p,q]]);
-                Q.setRows(i,j,Q0.dot(Q.getRows(i,j)));
-            } else {
-                x = -0.5*p1;
-                y = 0.5*sqrt(-disc);
-                n1 = (a-x)*(a-x)+b*b;
-                n2 = c*c+(d-x)*(d-x);
-                if(n1>n2) {
-                    n1 = sqrt(n1+y*y);
-                    p = (a-x)/n1;
-                    q = b/n1;
-                    x = 0;
-                    y /= n1;
-                } else {
-                    n2 = sqrt(n2+y*y);
-                    p = c/n2;
-                    q = (d-x)/n2;
-                    x = y/n2;
-                    y = 0;
-                }
-                Q0 = new T([[q,-p],[p,q]],[[x,y],[y,-x]]);
-                Q.setRows(i,j,Q0.dot(Q.getRows(i,j)));
-            }
-        }
-    }
-    var R = Q.dot(A).dot(Q.transjugate()), n = A.length, E = numeric.T.identity(n);
-    for(j=0;j<n;j++) {
-        if(j>0) {
-            for(k=j-1;k>=0;k--) {
-                var Rk = R.get([k,k]), Rj = R.get([j,j]);
-                if(numeric.neq(Rk.x,Rj.x) || numeric.neq(Rk.y,Rj.y)) {
-                    x = R.getRow(k).getBlock([k],[j-1]);
-                    y = E.getRow(j).getBlock([k],[j-1]);
-                    E.set([j,k],(R.get([k,j]).neg().sub(x.dot(y))).div(Rk.sub(Rj)));
-                } else {
-                    E.setRow(j,E.getRow(k));
-                    continue;
-                }
-            }
-        }
-    }
-    for(j=0;j<n;j++) {
-        x = E.getRow(j);
-        E.setRow(j,x.div(x.norm2()));
-    }
-    E = E.transpose();
-    E = Q.transjugate().dot(E);
-    return { lambda:R.getDiag(), E:E };
-};
-
-// 5. Compressed Column Storage matrices
-numeric.ccsSparse = function ccsSparse(A) {
-    var m = A.length,n,foo, i,j, counts = [];
-    for(i=m-1;i!==-1;--i) {
-        foo = A[i];
-        for(j in foo) {
-            j = parseInt(j);
-            while(j>=counts.length) counts[counts.length] = 0;
-            if(foo[j]!==0) counts[j]++;
-        }
-    }
-    var n = counts.length;
-    var Ai = Array(n+1);
-    Ai[0] = 0;
-    for(i=0;i<n;++i) Ai[i+1] = Ai[i] + counts[i];
-    var Aj = Array(Ai[n]), Av = Array(Ai[n]);
-    for(i=m-1;i!==-1;--i) {
-        foo = A[i];
-        for(j in foo) {
-            if(foo[j]!==0) {
-                counts[j]--;
-                Aj[Ai[j]+counts[j]] = i;
-                Av[Ai[j]+counts[j]] = foo[j];
-            }
-        }
-    }
-    return [Ai,Aj,Av];
-};
-numeric.ccsFull = function ccsFull(A) {
-    var Ai = A[0], Aj = A[1], Av = A[2], s = numeric.ccsDim(A), m = s[0], n = s[1], i,j,j0,j1,k;
-    var B = numeric.rep([m,n],0);
-    for(i=0;i<n;i++) {
-        j0 = Ai[i];
-        j1 = Ai[i+1];
-        for(j=j0;j<j1;++j) { B[Aj[j]][i] = Av[j]; }
-    }
-    return B;
-};
-numeric.ccsTSolve = function ccsTSolve(A,b,x,bj,xj) {
-    var Ai = A[0], Aj = A[1], Av = A[2],m = Ai.length-1, max = Math.max,n=0;
-    if(typeof bj === "undefined") x = numeric.rep([m],0);
-    if(typeof bj === "undefined") bj = numeric.linspace(0,x.length-1);
-    if(typeof xj === "undefined") xj = [];
-    function dfs(j) {
-        var k;
-        if(x[j] !== 0) return;
-        x[j] = 1;
-        for(k=Ai[j];k<Ai[j+1];++k) dfs(Aj[k]);
-        xj[n] = j;
-        ++n;
-    }
-    var i,j,j0,j1,k,l,l0,l1,a;
-    for(i=bj.length-1;i!==-1;--i) { dfs(bj[i]); }
-    xj.length = n;
-    for(i=xj.length-1;i!==-1;--i) { x[xj[i]] = 0; }
-    for(i=bj.length-1;i!==-1;--i) { j = bj[i]; x[j] = b[j]; }
-    for(i=xj.length-1;i!==-1;--i) {
-        j = xj[i];
-        j0 = Ai[j];
-        j1 = max(Ai[j+1],j0);
-        for(k=j0;k!==j1;++k) { if(Aj[k] === j) { x[j] /= Av[k]; break; } }
-        a = x[j];
-        for(k=j0;k!==j1;++k) {
-            l = Aj[k];
-            if(l !== j) x[l] -= a*Av[k];
-        }
-    }
-    return x;
-};
-numeric.ccsDFS = function ccsDFS(n) {
-    this.k = Array(n);
-    this.k1 = Array(n);
-    this.j = Array(n);
-};
-numeric.ccsDFS.prototype.dfs = function dfs(J,Ai,Aj,x,xj,Pinv) {
-    var m = 0,foo,n=xj.length;
-    var k = this.k, k1 = this.k1, j = this.j,km,k11;
-    if(x[J]!==0) return;
-    x[J] = 1;
-    j[0] = J;
-    k[0] = km = Ai[J];
-    k1[0] = k11 = Ai[J+1];
-    while(1) {
-        if(km >= k11) {
-            xj[n] = j[m];
-            if(m===0) return;
-            ++n;
-            --m;
-            km = k[m];
-            k11 = k1[m];
-        } else {
-            foo = Pinv[Aj[km]];
-            if(x[foo] === 0) {
-                x[foo] = 1;
-                k[m] = km;
-                ++m;
-                j[m] = foo;
-                km = Ai[foo];
-                k1[m] = k11 = Ai[foo+1];
-            } else ++km;
-        }
-    }
-};
-numeric.ccsLPSolve = function ccsLPSolve(A,B,x,xj,I,Pinv,dfs) {
-    var Ai = A[0], Aj = A[1], Av = A[2],m = Ai.length-1, n=0;
-    var Bi = B[0], Bj = B[1], Bv = B[2];
-    
-    var i,i0,i1,j,J,j0,j1,k,l,l0,l1,a;
-    i0 = Bi[I];
-    i1 = Bi[I+1];
-    xj.length = 0;
-    for(i=i0;i<i1;++i) { dfs.dfs(Pinv[Bj[i]],Ai,Aj,x,xj,Pinv); }
-    for(i=xj.length-1;i!==-1;--i) { x[xj[i]] = 0; }
-    for(i=i0;i!==i1;++i) { j = Pinv[Bj[i]]; x[j] = Bv[i]; }
-    for(i=xj.length-1;i!==-1;--i) {
-        j = xj[i];
-        j0 = Ai[j];
-        j1 = Ai[j+1];
-        for(k=j0;k<j1;++k) { if(Pinv[Aj[k]] === j) { x[j] /= Av[k]; break; } }
-        a = x[j];
-        for(k=j0;k<j1;++k) {
-            l = Pinv[Aj[k]];
-            if(l !== j) x[l] -= a*Av[k];
-        }
-    }
-    return x;
-};
-numeric.ccsLUP1 = function ccsLUP1(A,threshold) {
-    var m = A[0].length-1;
-    var L = [numeric.rep([m+1],0),[],[]], U = [numeric.rep([m+1], 0),[],[]];
-    var Li = L[0], Lj = L[1], Lv = L[2], Ui = U[0], Uj = U[1], Uv = U[2];
-    var x = numeric.rep([m],0), xj = numeric.rep([m],0);
-    var i,j,k,j0,j1,a,e,c,d,K;
-    var sol = numeric.ccsLPSolve, max = Math.max, abs = Math.abs;
-    var P = numeric.linspace(0,m-1),Pinv = numeric.linspace(0,m-1);
-    var dfs = new numeric.ccsDFS(m);
-    if(typeof threshold === "undefined") { threshold = 1; }
-    for(i=0;i<m;++i) {
-        sol(L,A,x,xj,i,Pinv,dfs);
-        a = -1;
-        e = -1;
-        for(j=xj.length-1;j!==-1;--j) {
-            k = xj[j];
-            if(k <= i) continue;
-            c = abs(x[k]);
-            if(c > a) { e = k; a = c; }
-        }
-        if(abs(x[i])<threshold*a) {
-            j = P[i];
-            a = P[e];
-            P[i] = a; Pinv[a] = i;
-            P[e] = j; Pinv[j] = e;
-            a = x[i]; x[i] = x[e]; x[e] = a;
-        }
-        a = Li[i];
-        e = Ui[i];
-        d = x[i];
-        Lj[a] = P[i];
-        Lv[a] = 1;
-        ++a;
-        for(j=xj.length-1;j!==-1;--j) {
-            k = xj[j];
-            c = x[k];
-            xj[j] = 0;
-            x[k] = 0;
-            if(k<=i) { Uj[e] = k; Uv[e] = c;   ++e; }
-            else     { Lj[a] = P[k]; Lv[a] = c/d; ++a; }
-        }
-        Li[i+1] = a;
-        Ui[i+1] = e;
-    }
-    for(j=Lj.length-1;j!==-1;--j) { Lj[j] = Pinv[Lj[j]]; }
-    return {L:L, U:U, P:P, Pinv:Pinv};
-};
-numeric.ccsDFS0 = function ccsDFS0(n) {
-    this.k = Array(n);
-    this.k1 = Array(n);
-    this.j = Array(n);
-};
-numeric.ccsDFS0.prototype.dfs = function dfs(J,Ai,Aj,x,xj,Pinv,P) {
-    var m = 0,foo,n=xj.length;
-    var k = this.k, k1 = this.k1, j = this.j,km,k11;
-    if(x[J]!==0) return;
-    x[J] = 1;
-    j[0] = J;
-    k[0] = km = Ai[Pinv[J]];
-    k1[0] = k11 = Ai[Pinv[J]+1];
-    while(1) {
-        if(isNaN(km)) throw new Error("Ow!");
-        if(km >= k11) {
-            xj[n] = Pinv[j[m]];
-            if(m===0) return;
-            ++n;
-            --m;
-            km = k[m];
-            k11 = k1[m];
-        } else {
-            foo = Aj[km];
-            if(x[foo] === 0) {
-                x[foo] = 1;
-                k[m] = km;
-                ++m;
-                j[m] = foo;
-                foo = Pinv[foo];
-                km = Ai[foo];
-                k1[m] = k11 = Ai[foo+1];
-            } else ++km;
-        }
-    }
-};
-numeric.ccsLPSolve0 = function ccsLPSolve0(A,B,y,xj,I,Pinv,P,dfs) {
-    var Ai = A[0], Aj = A[1], Av = A[2],m = Ai.length-1, n=0;
-    var Bi = B[0], Bj = B[1], Bv = B[2];
-    
-    var i,i0,i1,j,J,j0,j1,k,l,l0,l1,a;
-    i0 = Bi[I];
-    i1 = Bi[I+1];
-    xj.length = 0;
-    for(i=i0;i<i1;++i) { dfs.dfs(Bj[i],Ai,Aj,y,xj,Pinv,P); }
-    for(i=xj.length-1;i!==-1;--i) { j = xj[i]; y[P[j]] = 0; }
-    for(i=i0;i!==i1;++i) { j = Bj[i]; y[j] = Bv[i]; }
-    for(i=xj.length-1;i!==-1;--i) {
-        j = xj[i];
-        l = P[j];
-        j0 = Ai[j];
-        j1 = Ai[j+1];
-        for(k=j0;k<j1;++k) { if(Aj[k] === l) { y[l] /= Av[k]; break; } }
-        a = y[l];
-        for(k=j0;k<j1;++k) y[Aj[k]] -= a*Av[k];
-        y[l] = a;
-    }
-};
-numeric.ccsLUP0 = function ccsLUP0(A,threshold) {
-    var m = A[0].length-1;
-    var L = [numeric.rep([m+1],0),[],[]], U = [numeric.rep([m+1], 0),[],[]];
-    var Li = L[0], Lj = L[1], Lv = L[2], Ui = U[0], Uj = U[1], Uv = U[2];
-    var y = numeric.rep([m],0), xj = numeric.rep([m],0);
-    var i,j,k,j0,j1,a,e,c,d,K;
-    var sol = numeric.ccsLPSolve0, max = Math.max, abs = Math.abs;
-    var P = numeric.linspace(0,m-1),Pinv = numeric.linspace(0,m-1);
-    var dfs = new numeric.ccsDFS0(m);
-    if(typeof threshold === "undefined") { threshold = 1; }
-    for(i=0;i<m;++i) {
-        sol(L,A,y,xj,i,Pinv,P,dfs);
-        a = -1;
-        e = -1;
-        for(j=xj.length-1;j!==-1;--j) {
-            k = xj[j];
-            if(k <= i) continue;
-            c = abs(y[P[k]]);
-            if(c > a) { e = k; a = c; }
-        }
-        if(abs(y[P[i]])<threshold*a) {
-            j = P[i];
-            a = P[e];
-            P[i] = a; Pinv[a] = i;
-            P[e] = j; Pinv[j] = e;
-        }
-        a = Li[i];
-        e = Ui[i];
-        d = y[P[i]];
-        Lj[a] = P[i];
-        Lv[a] = 1;
-        ++a;
-        for(j=xj.length-1;j!==-1;--j) {
-            k = xj[j];
-            c = y[P[k]];
-            xj[j] = 0;
-            y[P[k]] = 0;
-            if(k<=i) { Uj[e] = k; Uv[e] = c;   ++e; }
-            else     { Lj[a] = P[k]; Lv[a] = c/d; ++a; }
-        }
-        Li[i+1] = a;
-        Ui[i+1] = e;
-    }
-    for(j=Lj.length-1;j!==-1;--j) { Lj[j] = Pinv[Lj[j]]; }
-    return {L:L, U:U, P:P, Pinv:Pinv};
-};
-numeric.ccsLUP = numeric.ccsLUP0;
-
-numeric.ccsDim = function ccsDim(A) { return [numeric.sup(A[1])+1,A[0].length-1]; };
-numeric.ccsGetBlock = function ccsGetBlock(A,i,j) {
-    var s = numeric.ccsDim(A),m=s[0],n=s[1];
-    if(typeof i === "undefined") { i = numeric.linspace(0,m-1); }
-    else if(typeof i === "number") { i = [i]; }
-    if(typeof j === "undefined") { j = numeric.linspace(0,n-1); }
-    else if(typeof j === "number") { j = [j]; }
-    var p,p0,p1,P = i.length,q,Q = j.length,r,jq,ip;
-    var Bi = numeric.rep([n],0), Bj=[], Bv=[], B = [Bi,Bj,Bv];
-    var Ai = A[0], Aj = A[1], Av = A[2];
-    var x = numeric.rep([m],0),count=0,flags = numeric.rep([m],0);
-    for(q=0;q<Q;++q) {
-        jq = j[q];
-        var q0 = Ai[jq];
-        var q1 = Ai[jq+1];
-        for(p=q0;p<q1;++p) {
-            r = Aj[p];
-            flags[r] = 1;
-            x[r] = Av[p];
-        }
-        for(p=0;p<P;++p) {
-            ip = i[p];
-            if(flags[ip]) {
-                Bj[count] = p;
-                Bv[count] = x[i[p]];
-                ++count;
-            }
-        }
-        for(p=q0;p<q1;++p) {
-            r = Aj[p];
-            flags[r] = 0;
-        }
-        Bi[q+1] = count;
-    }
-    return B;
-};
-
-numeric.ccsDot = function ccsDot(A,B) {
-    var Ai = A[0], Aj = A[1], Av = A[2];
-    var Bi = B[0], Bj = B[1], Bv = B[2];
-    var sA = numeric.ccsDim(A), sB = numeric.ccsDim(B);
-    var m = sA[0], n = sA[1], o = sB[1];
-    var x = numeric.rep([m],0), flags = numeric.rep([m],0), xj = Array(m);
-    var Ci = numeric.rep([o],0), Cj = [], Cv = [], C = [Ci,Cj,Cv];
-    var i,j,k,j0,j1,i0,i1,l,p,a,b;
-    for(k=0;k!==o;++k) {
-        j0 = Bi[k];
-        j1 = Bi[k+1];
-        p = 0;
-        for(j=j0;j<j1;++j) {
-            a = Bj[j];
-            b = Bv[j];
-            i0 = Ai[a];
-            i1 = Ai[a+1];
-            for(i=i0;i<i1;++i) {
-                l = Aj[i];
-                if(flags[l]===0) {
-                    xj[p] = l;
-                    flags[l] = 1;
-                    p = p+1;
-                }
-                x[l] = x[l] + Av[i]*b;
-            }
-        }
-        j0 = Ci[k];
-        j1 = j0+p;
-        Ci[k+1] = j1;
-        for(j=p-1;j!==-1;--j) {
-            b = j0+j;
-            i = xj[j];
-            Cj[b] = i;
-            Cv[b] = x[i];
-            flags[i] = 0;
-            x[i] = 0;
-        }
-        Ci[k+1] = Ci[k]+p;
-    }
-    return C;
-};
-
-numeric.ccsLUPSolve = function ccsLUPSolve(LUP,B) {
-    var L = LUP.L, U = LUP.U, P = LUP.P;
-    var Bi = B[0];
-    var flag = false;
-    if(typeof Bi !== "object") { B = [[0,B.length],numeric.linspace(0,B.length-1),B]; Bi = B[0]; flag = true; }
-    var Bj = B[1], Bv = B[2];
-    var n = L[0].length-1, m = Bi.length-1;
-    var x = numeric.rep([n],0), xj = Array(n);
-    var b = numeric.rep([n],0), bj = Array(n);
-    var Xi = numeric.rep([m+1],0), Xj = [], Xv = [];
-    var sol = numeric.ccsTSolve;
-    var i,j,j0,j1,k,J,N=0;
-    for(i=0;i<m;++i) {
-        k = 0;
-        j0 = Bi[i];
-        j1 = Bi[i+1];
-        for(j=j0;j<j1;++j) { 
-            J = LUP.Pinv[Bj[j]];
-            bj[k] = J;
-            b[J] = Bv[j];
-            ++k;
-        }
-        bj.length = k;
-        sol(L,b,x,bj,xj);
-        for(j=bj.length-1;j!==-1;--j) b[bj[j]] = 0;
-        sol(U,x,b,xj,bj);
-        if(flag) return b;
-        for(j=xj.length-1;j!==-1;--j) x[xj[j]] = 0;
-        for(j=bj.length-1;j!==-1;--j) {
-            J = bj[j];
-            Xj[N] = J;
-            Xv[N] = b[J];
-            b[J] = 0;
-            ++N;
-        }
-        Xi[i+1] = N;
-    }
-    return [Xi,Xj,Xv];
-};
-
-numeric.ccsbinop = function ccsbinop(body,setup) {
-    if(typeof setup === "undefined") setup='';
-    return Function('X','Y',
-            'var Xi = X[0], Xj = X[1], Xv = X[2];\n'+
-            'var Yi = Y[0], Yj = Y[1], Yv = Y[2];\n'+
-            'var n = Xi.length-1,m = Math.max(numeric.sup(Xj),numeric.sup(Yj))+1;\n'+
-            'var Zi = numeric.rep([n+1],0), Zj = [], Zv = [];\n'+
-            'var x = numeric.rep([m],0),y = numeric.rep([m],0);\n'+
-            'var xk,yk,zk;\n'+
-            'var i,j,j0,j1,k,p=0;\n'+
-            setup+
-            'for(i=0;i<n;++i) {\n'+
-            '  j0 = Xi[i]; j1 = Xi[i+1];\n'+
-            '  for(j=j0;j!==j1;++j) {\n'+
-            '    k = Xj[j];\n'+
-            '    x[k] = 1;\n'+
-            '    Zj[p] = k;\n'+
-            '    ++p;\n'+
-            '  }\n'+
-            '  j0 = Yi[i]; j1 = Yi[i+1];\n'+
-            '  for(j=j0;j!==j1;++j) {\n'+
-            '    k = Yj[j];\n'+
-            '    y[k] = Yv[j];\n'+
-            '    if(x[k] === 0) {\n'+
-            '      Zj[p] = k;\n'+
-            '      ++p;\n'+
-            '    }\n'+
-            '  }\n'+
-            '  Zi[i+1] = p;\n'+
-            '  j0 = Xi[i]; j1 = Xi[i+1];\n'+
-            '  for(j=j0;j!==j1;++j) x[Xj[j]] = Xv[j];\n'+
-            '  j0 = Zi[i]; j1 = Zi[i+1];\n'+
-            '  for(j=j0;j!==j1;++j) {\n'+
-            '    k = Zj[j];\n'+
-            '    xk = x[k];\n'+
-            '    yk = y[k];\n'+
-            body+'\n'+
-            '    Zv[j] = zk;\n'+
-            '  }\n'+
-            '  j0 = Xi[i]; j1 = Xi[i+1];\n'+
-            '  for(j=j0;j!==j1;++j) x[Xj[j]] = 0;\n'+
-            '  j0 = Yi[i]; j1 = Yi[i+1];\n'+
-            '  for(j=j0;j!==j1;++j) y[Yj[j]] = 0;\n'+
-            '}\n'+
-            'return [Zi,Zj,Zv];'
-            );
-};
-
-(function() {
-    var k,A,B,C;
-    for(k in numeric.ops2) {
-        if(isFinite(eval('1'+numeric.ops2[k]+'0'))) A = '[Y[0],Y[1],numeric.'+k+'(X,Y[2])]';
-        else A = 'NaN';
-        if(isFinite(eval('0'+numeric.ops2[k]+'1'))) B = '[X[0],X[1],numeric.'+k+'(X[2],Y)]';
-        else B = 'NaN';
-        if(isFinite(eval('1'+numeric.ops2[k]+'0')) && isFinite(eval('0'+numeric.ops2[k]+'1'))) C = 'numeric.ccs'+k+'MM(X,Y)';
-        else C = 'NaN';
-        numeric['ccs'+k+'MM'] = numeric.ccsbinop('zk = xk '+numeric.ops2[k]+'yk;');
-        numeric['ccs'+k] = Function('X','Y',
-                'if(typeof X === "number") return '+A+';\n'+
-                'if(typeof Y === "number") return '+B+';\n'+
-                'return '+C+';\n'
-                );
-    }
-}());
-
-numeric.ccsScatter = function ccsScatter(A) {
-    var Ai = A[0], Aj = A[1], Av = A[2];
-    var n = numeric.sup(Aj)+1,m=Ai.length;
-    var Ri = numeric.rep([n],0),Rj=Array(m), Rv = Array(m);
-    var counts = numeric.rep([n],0),i;
-    for(i=0;i<m;++i) counts[Aj[i]]++;
-    for(i=0;i<n;++i) Ri[i+1] = Ri[i] + counts[i];
-    var ptr = Ri.slice(0),k,Aii;
-    for(i=0;i<m;++i) {
-        Aii = Aj[i];
-        k = ptr[Aii];
-        Rj[k] = Ai[i];
-        Rv[k] = Av[i];
-        ptr[Aii]=ptr[Aii]+1;
-    }
-    return [Ri,Rj,Rv];
-};
-
-numeric.ccsGather = function ccsGather(A) {
-    var Ai = A[0], Aj = A[1], Av = A[2];
-    var n = Ai.length-1,m = Aj.length;
-    var Ri = Array(m), Rj = Array(m), Rv = Array(m);
-    var i,j,j0,j1,p;
-    p=0;
-    for(i=0;i<n;++i) {
-        j0 = Ai[i];
-        j1 = Ai[i+1];
-        for(j=j0;j!==j1;++j) {
-            Rj[p] = i;
-            Ri[p] = Aj[j];
-            Rv[p] = Av[j];
-            ++p;
-        }
-    }
-    return [Ri,Rj,Rv];
-};
-
-// The following sparse linear algebra routines are deprecated.
-
-numeric.sdim = function dim(A,ret,k) {
-    if(typeof ret === "undefined") { ret = []; }
-    if(typeof A !== "object") return ret;
-    if(typeof k === "undefined") { k=0; }
-    if(!(k in ret)) { ret[k] = 0; }
-    if(A.length > ret[k]) ret[k] = A.length;
-    var i;
-    for(i in A) {
-        if(A.hasOwnProperty(i)) dim(A[i],ret,k+1);
-    }
-    return ret;
-};
-
-numeric.sclone = function clone(A,k,n) {
-    if(typeof k === "undefined") { k=0; }
-    if(typeof n === "undefined") { n = numeric.sdim(A).length; }
-    var i,ret = Array(A.length);
-    if(k === n-1) {
-        for(i in A) { if(A.hasOwnProperty(i)) ret[i] = A[i]; }
-        return ret;
-    }
-    for(i in A) {
-        if(A.hasOwnProperty(i)) ret[i] = clone(A[i],k+1,n);
-    }
-    return ret;
-};
-
-numeric.sdiag = function diag(d) {
-    var n = d.length,i,ret = Array(n),i1,i2,i3;
-    for(i=n-1;i>=1;i-=2) {
-        i1 = i-1;
-        ret[i] = []; ret[i][i] = d[i];
-        ret[i1] = []; ret[i1][i1] = d[i1];
-    }
-    if(i===0) { ret[0] = []; ret[0][0] = d[i]; }
-    return ret;
-};
-
-numeric.sidentity = function identity(n) { return numeric.sdiag(numeric.rep([n],1)); };
-
-numeric.stranspose = function transpose(A) {
-    var ret = [], n = A.length, i,j,Ai;
-    for(i in A) {
-        if(!(A.hasOwnProperty(i))) continue;
-        Ai = A[i];
-        for(j in Ai) {
-            if(!(Ai.hasOwnProperty(j))) continue;
-            if(typeof ret[j] !== "object") { ret[j] = []; }
-            ret[j][i] = Ai[j];
-        }
-    }
-    return ret;
-};
-
-numeric.sLUP = function LUP(A,tol) {
-    throw new Error("The function numeric.sLUP had a bug in it and has been removed. Please use the new numeric.ccsLUP function instead.");
-};
-
-numeric.sdotMM = function dotMM(A,B) {
-    var p = A.length, q = B.length, BT = numeric.stranspose(B), r = BT.length, Ai, BTk;
-    var i,j,k,accum;
-    var ret = Array(p),reti;
-    for(i=p-1;i>=0;i--) {
-        reti = [];
-        Ai = A[i];
-        for(k=r-1;k>=0;k--) {
-            accum = 0;
-            BTk = BT[k];
-            for(j in Ai) {
-                if(!(Ai.hasOwnProperty(j))) continue;
-                if(j in BTk) { accum += Ai[j]*BTk[j]; }
-            }
-            if(accum) reti[k] = accum;
-        }
-        ret[i] = reti;
-    }
-    return ret;
-};
-
-numeric.sdotMV = function dotMV(A,x) {
-    var p = A.length, Ai, i,j;
-    var ret = Array(p), accum;
-    for(i=p-1;i>=0;i--) {
-        Ai = A[i];
-        accum = 0;
-        for(j in Ai) {
-            if(!(Ai.hasOwnProperty(j))) continue;
-            if(x[j]) accum += Ai[j]*x[j];
-        }
-        if(accum) ret[i] = accum;
-    }
-    return ret;
-};
-
-numeric.sdotVM = function dotMV(x,A) {
-    var i,j,Ai,alpha;
-    var ret = [], accum;
-    for(i in x) {
-        if(!x.hasOwnProperty(i)) continue;
-        Ai = A[i];
-        alpha = x[i];
-        for(j in Ai) {
-            if(!Ai.hasOwnProperty(j)) continue;
-            if(!ret[j]) { ret[j] = 0; }
-            ret[j] += alpha*Ai[j];
-        }
-    }
-    return ret;
-};
-
-numeric.sdotVV = function dotVV(x,y) {
-    var i,ret=0;
-    for(i in x) { if(x[i] && y[i]) ret+= x[i]*y[i]; }
-    return ret;
-};
-
-numeric.sdot = function dot(A,B) {
-    var m = numeric.sdim(A).length, n = numeric.sdim(B).length;
-    var k = m*1000+n;
-    switch(k) {
-    case 0: return A*B;
-    case 1001: return numeric.sdotVV(A,B);
-    case 2001: return numeric.sdotMV(A,B);
-    case 1002: return numeric.sdotVM(A,B);
-    case 2002: return numeric.sdotMM(A,B);
-    default: throw new Error('numeric.sdot not implemented for tensors of order '+m+' and '+n);
-    }
-};
-
-numeric.sscatter = function scatter(V) {
-    var n = V[0].length, Vij, i, j, m = V.length, A = [], Aj;
-    for(i=n-1;i>=0;--i) {
-        if(!V[m-1][i]) continue;
-        Aj = A;
-        for(j=0;j<m-2;j++) {
-            Vij = V[j][i];
-            if(!Aj[Vij]) Aj[Vij] = [];
-            Aj = Aj[Vij];
-        }
-        Aj[V[j][i]] = V[j+1][i];
-    }
-    return A;
-};
-
-numeric.sgather = function gather(A,ret,k) {
-    if(typeof ret === "undefined") ret = [];
-    if(typeof k === "undefined") k = [];
-    var n,i,Ai;
-    n = k.length;
-    for(i in A) {
-        if(A.hasOwnProperty(i)) {
-            k[n] = parseInt(i);
-            Ai = A[i];
-            if(typeof Ai === "number") {
-                if(Ai) {
-                    if(ret.length === 0) {
-                        for(i=n+1;i>=0;--i) ret[i] = [];
-                    }
-                    for(i=n;i>=0;--i) ret[i].push(k[i]);
-                    ret[n+1].push(Ai);
-                }
-            } else gather(Ai,ret,k);
-        }
-    }
-    if(k.length>n) k.pop();
-    return ret;
-};
-
-// 6. Coordinate matrices
-numeric.cLU = function LU(A) {
-    var I = A[0], J = A[1], V = A[2];
-    var p = I.length, m=0, i,j,k,a,b,c;
-    for(i=0;i<p;i++) if(I[i]>m) m=I[i];
-    m++;
-    var L = Array(m), U = Array(m), left = numeric.rep([m],Infinity), right = numeric.rep([m],-Infinity);
-    var Ui, Uj,alpha;
-    for(k=0;k<p;k++) {
-        i = I[k];
-        j = J[k];
-        if(j<left[i]) left[i] = j;
-        if(j>right[i]) right[i] = j;
-    }
-    for(i=0;i<m-1;i++) { if(right[i] > right[i+1]) right[i+1] = right[i]; }
-    for(i=m-1;i>=1;i--) { if(left[i]<left[i-1]) left[i-1] = left[i]; }
-    var countL = 0, countU = 0;
-    for(i=0;i<m;i++) {
-        U[i] = numeric.rep([right[i]-left[i]+1],0);
-        L[i] = numeric.rep([i-left[i]],0);
-        countL += i-left[i]+1;
-        countU += right[i]-i+1;
-    }
-    for(k=0;k<p;k++) { i = I[k]; U[i][J[k]-left[i]] = V[k]; }
-    for(i=0;i<m-1;i++) {
-        a = i-left[i];
-        Ui = U[i];
-        for(j=i+1;left[j]<=i && j<m;j++) {
-            b = i-left[j];
-            c = right[i]-i;
-            Uj = U[j];
-            alpha = Uj[b]/Ui[a];
-            if(alpha) {
-                for(k=1;k<=c;k++) { Uj[k+b] -= alpha*Ui[k+a]; }
-                L[j][i-left[j]] = alpha;
-            }
-        }
-    }
-    var Ui = [], Uj = [], Uv = [], Li = [], Lj = [], Lv = [];
-    var p,q,foo;
-    p=0; q=0;
-    for(i=0;i<m;i++) {
-        a = left[i];
-        b = right[i];
-        foo = U[i];
-        for(j=i;j<=b;j++) {
-            if(foo[j-a]) {
-                Ui[p] = i;
-                Uj[p] = j;
-                Uv[p] = foo[j-a];
-                p++;
-            }
-        }
-        foo = L[i];
-        for(j=a;j<i;j++) {
-            if(foo[j-a]) {
-                Li[q] = i;
-                Lj[q] = j;
-                Lv[q] = foo[j-a];
-                q++;
-            }
-        }
-        Li[q] = i;
-        Lj[q] = i;
-        Lv[q] = 1;
-        q++;
-    }
-    return {U:[Ui,Uj,Uv], L:[Li,Lj,Lv]};
-};
-
-numeric.cLUsolve = function LUsolve(lu,b) {
-    var L = lu.L, U = lu.U, ret = numeric.clone(b);
-    var Li = L[0], Lj = L[1], Lv = L[2];
-    var Ui = U[0], Uj = U[1], Uv = U[2];
-    var p = Ui.length, q = Li.length;
-    var m = ret.length,i,j,k;
-    k = 0;
-    for(i=0;i<m;i++) {
-        while(Lj[k] < i) {
-            ret[i] -= Lv[k]*ret[Lj[k]];
-            k++;
-        }
-        k++;
-    }
-    k = p-1;
-    for(i=m-1;i>=0;i--) {
-        while(Uj[k] > i) {
-            ret[i] -= Uv[k]*ret[Uj[k]];
-            k--;
-        }
-        ret[i] /= Uv[k];
-        k--;
-    }
-    return ret;
-};
-
-numeric.cgrid = function grid(n,shape) {
-    if(typeof n === "number") n = [n,n];
-    var ret = numeric.rep(n,-1);
-    var i,j,count;
-    if(typeof shape !== "function") {
-        switch(shape) {
-        case 'L':
-            shape = function(i,j) { return (i>=n[0]/2 || j<n[1]/2); };
-            break;
-        default:
-            shape = function(i,j) { return true; };
-            break;
-        }
-    }
-    count=0;
-    for(i=1;i<n[0]-1;i++) for(j=1;j<n[1]-1;j++) 
-        if(shape(i,j)) {
-            ret[i][j] = count;
-            count++;
-        }
-    return ret;
-};
-
-numeric.cdelsq = function delsq(g) {
-    var dir = [[-1,0],[0,-1],[0,1],[1,0]];
-    var s = numeric.dim(g), m = s[0], n = s[1], i,j,k,p,q;
-    var Li = [], Lj = [], Lv = [];
-    for(i=1;i<m-1;i++) for(j=1;j<n-1;j++) {
-        if(g[i][j]<0) continue;
-        for(k=0;k<4;k++) {
-            p = i+dir[k][0];
-            q = j+dir[k][1];
-            if(g[p][q]<0) continue;
-            Li.push(g[i][j]);
-            Lj.push(g[p][q]);
-            Lv.push(-1);
-        }
-        Li.push(g[i][j]);
-        Lj.push(g[i][j]);
-        Lv.push(4);
-    }
-    return [Li,Lj,Lv];
-};
-
-numeric.cdotMV = function dotMV(A,x) {
-    var ret, Ai = A[0], Aj = A[1], Av = A[2],k,p=Ai.length,N;
-    N=0;
-    for(k=0;k<p;k++) { if(Ai[k]>N) N = Ai[k]; }
-    N++;
-    ret = numeric.rep([N],0);
-    for(k=0;k<p;k++) { ret[Ai[k]]+=Av[k]*x[Aj[k]]; }
-    return ret;
-};
-
-// 7. Splines
-
-numeric.Spline = function Spline(x,yl,yr,kl,kr) { this.x = x; this.yl = yl; this.yr = yr; this.kl = kl; this.kr = kr; };
-numeric.Spline.prototype._at = function _at(x1,p) {
-    var x = this.x;
-    var yl = this.yl;
-    var yr = this.yr;
-    var kl = this.kl;
-    var kr = this.kr;
-    var x1,a,b,t;
-    var add = numeric.add, sub = numeric.sub, mul = numeric.mul;
-    a = sub(mul(kl[p],x[p+1]-x[p]),sub(yr[p+1],yl[p]));
-    b = add(mul(kr[p+1],x[p]-x[p+1]),sub(yr[p+1],yl[p]));
-    t = (x1-x[p])/(x[p+1]-x[p]);
-    var s = t*(1-t);
-    return add(add(add(mul(1-t,yl[p]),mul(t,yr[p+1])),mul(a,s*(1-t))),mul(b,s*t));
-};
-numeric.Spline.prototype.at = function at(x0) {
-    if(typeof x0 === "number") {
-        var x = this.x;
-        var n = x.length;
-        var p,q,mid,floor = Math.floor,a,b,t;
-        p = 0;
-        q = n-1;
-        while(q-p>1) {
-            mid = floor((p+q)/2);
-            if(x[mid] <= x0) p = mid;
-            else q = mid;
-        }
-        return this._at(x0,p);
-    }
-    var n = x0.length, i, ret = Array(n);
-    for(i=n-1;i!==-1;--i) ret[i] = this.at(x0[i]);
-    return ret;
-};
-numeric.Spline.prototype.diff = function diff() {
-    var x = this.x;
-    var yl = this.yl;
-    var yr = this.yr;
-    var kl = this.kl;
-    var kr = this.kr;
-    var n = yl.length;
-    var i,dx,dy;
-    var zl = kl, zr = kr, pl = Array(n), pr = Array(n);
-    var add = numeric.add, mul = numeric.mul, div = numeric.div, sub = numeric.sub;
-    for(i=n-1;i!==-1;--i) {
-        dx = x[i+1]-x[i];
-        dy = sub(yr[i+1],yl[i]);
-        pl[i] = div(add(mul(dy, 6),mul(kl[i],-4*dx),mul(kr[i+1],-2*dx)),dx*dx);
-        pr[i+1] = div(add(mul(dy,-6),mul(kl[i], 2*dx),mul(kr[i+1], 4*dx)),dx*dx);
-    }
-    return new numeric.Spline(x,zl,zr,pl,pr);
-};
-numeric.Spline.prototype.roots = function roots() {
-    function sqr(x) { return x*x; }
-    var ret = [];
-    var x = this.x, yl = this.yl, yr = this.yr, kl = this.kl, kr = this.kr;
-    if(typeof yl[0] === "number") {
-        yl = [yl];
-        yr = [yr];
-        kl = [kl];
-        kr = [kr];
-    }
-    var m = yl.length,n=x.length-1,i,j,k,y,s,t;
-    var ai,bi,ci,di, ret = Array(m),ri,k0,k1,y0,y1,A,B,D,dx,cx,stops,z0,z1,zm,t0,t1,tm;
-    var sqrt = Math.sqrt;
-    for(i=0;i!==m;++i) {
-        ai = yl[i];
-        bi = yr[i];
-        ci = kl[i];
-        di = kr[i];
-        ri = [];
-        for(j=0;j!==n;j++) {
-            if(j>0 && bi[j]*ai[j]<0) ri.push(x[j]);
-            dx = (x[j+1]-x[j]);
-            cx = x[j];
-            y0 = ai[j];
-            y1 = bi[j+1];
-            k0 = ci[j]/dx;
-            k1 = di[j+1]/dx;
-            D = sqr(k0-k1+3*(y0-y1)) + 12*k1*y0;
-            A = k1+3*y0+2*k0-3*y1;
-            B = 3*(k1+k0+2*(y0-y1));
-            if(D<=0) {
-                z0 = A/B;
-                if(z0>x[j] && z0<x[j+1]) stops = [x[j],z0,x[j+1]];
-                else stops = [x[j],x[j+1]];
-            } else {
-                z0 = (A-sqrt(D))/B;
-                z1 = (A+sqrt(D))/B;
-                stops = [x[j]];
-                if(z0>x[j] && z0<x[j+1]) stops.push(z0);
-                if(z1>x[j] && z1<x[j+1]) stops.push(z1);
-                stops.push(x[j+1]);
-            }
-            t0 = stops[0];
-            z0 = this._at(t0,j);
-            for(k=0;k<stops.length-1;k++) {
-                t1 = stops[k+1];
-                z1 = this._at(t1,j);
-                if(z0 === 0) {
-                    ri.push(t0); 
-                    t0 = t1;
-                    z0 = z1;
-                    continue;
-                }
-                if(z1 === 0 || z0*z1>0) {
-                    t0 = t1;
-                    z0 = z1;
-                    continue;
-                }
-                var side = 0;
-                while(1) {
-                    tm = (z0*t1-z1*t0)/(z0-z1);
-                    if(tm <= t0 || tm >= t1) { break; }
-                    zm = this._at(tm,j);
-                    if(zm*z1>0) {
-                        t1 = tm;
-                        z1 = zm;
-                        if(side === -1) z0*=0.5;
-                        side = -1;
-                    } else if(zm*z0>0) {
-                        t0 = tm;
-                        z0 = zm;
-                        if(side === 1) z1*=0.5;
-                        side = 1;
-                    } else break;
-                }
-                ri.push(tm);
-                t0 = stops[k+1];
-                z0 = this._at(t0, j);
-            }
-            if(z1 === 0) ri.push(t1);
-        }
-        ret[i] = ri;
-    }
-    if(typeof this.yl[0] === "number") return ret[0];
-    return ret;
-};
-numeric.spline = function spline(x,y,k1,kn) {
-    var n = x.length, b = [], dx = [], dy = [];
-    var i;
-    var sub = numeric.sub,mul = numeric.mul,add = numeric.add;
-    for(i=n-2;i>=0;i--) { dx[i] = x[i+1]-x[i]; dy[i] = sub(y[i+1],y[i]); }
-    if(typeof k1 === "string" || typeof kn === "string") { 
-        k1 = kn = "periodic";
-    }
-    // Build sparse tridiagonal system
-    var T = [[],[],[]];
-    switch(typeof k1) {
-    case "undefined":
-        b[0] = mul(3/(dx[0]*dx[0]),dy[0]);
-        T[0].push(0,0);
-        T[1].push(0,1);
-        T[2].push(2/dx[0],1/dx[0]);
-        break;
-    case "string":
-        b[0] = add(mul(3/(dx[n-2]*dx[n-2]),dy[n-2]),mul(3/(dx[0]*dx[0]),dy[0]));
-        T[0].push(0,0,0);
-        T[1].push(n-2,0,1);
-        T[2].push(1/dx[n-2],2/dx[n-2]+2/dx[0],1/dx[0]);
-        break;
-    default:
-        b[0] = k1;
-        T[0].push(0);
-        T[1].push(0);
-        T[2].push(1);
-        break;
-    }
-    for(i=1;i<n-1;i++) {
-        b[i] = add(mul(3/(dx[i-1]*dx[i-1]),dy[i-1]),mul(3/(dx[i]*dx[i]),dy[i]));
-        T[0].push(i,i,i);
-        T[1].push(i-1,i,i+1);
-        T[2].push(1/dx[i-1],2/dx[i-1]+2/dx[i],1/dx[i]);
-    }
-    switch(typeof kn) {
-    case "undefined":
-        b[n-1] = mul(3/(dx[n-2]*dx[n-2]),dy[n-2]);
-        T[0].push(n-1,n-1);
-        T[1].push(n-2,n-1);
-        T[2].push(1/dx[n-2],2/dx[n-2]);
-        break;
-    case "string":
-        T[1][T[1].length-1] = 0;
-        break;
-    default:
-        b[n-1] = kn;
-        T[0].push(n-1);
-        T[1].push(n-1);
-        T[2].push(1);
-        break;
-    }
-    if(typeof b[0] !== "number") b = numeric.transpose(b);
-    else b = [b];
-    var k = Array(b.length);
-    if(typeof k1 === "string") {
-        for(i=k.length-1;i!==-1;--i) {
-            k[i] = numeric.ccsLUPSolve(numeric.ccsLUP(numeric.ccsScatter(T)),b[i]);
-            k[i][n-1] = k[i][0];
-        }
-    } else {
-        for(i=k.length-1;i!==-1;--i) {
-            k[i] = numeric.cLUsolve(numeric.cLU(T),b[i]);
-        }
-    }
-    if(typeof y[0] === "number") k = k[0];
-    else k = numeric.transpose(k);
-    return new numeric.Spline(x,y,y,k,k);
-};
-
-// 8. FFT
-numeric.fftpow2 = function fftpow2(x,y) {
-    var n = x.length;
-    if(n === 1) return;
-    var cos = Math.cos, sin = Math.sin, i,j;
-    var xe = Array(n/2), ye = Array(n/2), xo = Array(n/2), yo = Array(n/2);
-    j = n/2;
-    for(i=n-1;i!==-1;--i) {
-        --j;
-        xo[j] = x[i];
-        yo[j] = y[i];
-        --i;
-        xe[j] = x[i];
-        ye[j] = y[i];
-    }
-    fftpow2(xe,ye);
-    fftpow2(xo,yo);
-    j = n/2;
-    var t,k = (-6.2831853071795864769252867665590057683943387987502116419/n),ci,si;
-    for(i=n-1;i!==-1;--i) {
-        --j;
-        if(j === -1) j = n/2-1;
-        t = k*i;
-        ci = cos(t);
-        si = sin(t);
-        x[i] = xe[j] + ci*xo[j] - si*yo[j];
-        y[i] = ye[j] + ci*yo[j] + si*xo[j];
-    }
-};
-numeric._ifftpow2 = function _ifftpow2(x,y) {
-    var n = x.length;
-    if(n === 1) return;
-    var cos = Math.cos, sin = Math.sin, i,j;
-    var xe = Array(n/2), ye = Array(n/2), xo = Array(n/2), yo = Array(n/2);
-    j = n/2;
-    for(i=n-1;i!==-1;--i) {
-        --j;
-        xo[j] = x[i];
-        yo[j] = y[i];
-        --i;
-        xe[j] = x[i];
-        ye[j] = y[i];
-    }
-    _ifftpow2(xe,ye);
-    _ifftpow2(xo,yo);
-    j = n/2;
-    var t,k = (6.2831853071795864769252867665590057683943387987502116419/n),ci,si;
-    for(i=n-1;i!==-1;--i) {
-        --j;
-        if(j === -1) j = n/2-1;
-        t = k*i;
-        ci = cos(t);
-        si = sin(t);
-        x[i] = xe[j] + ci*xo[j] - si*yo[j];
-        y[i] = ye[j] + ci*yo[j] + si*xo[j];
-    }
-};
-numeric.ifftpow2 = function ifftpow2(x,y) {
-    numeric._ifftpow2(x,y);
-    numeric.diveq(x,x.length);
-    numeric.diveq(y,y.length);
-};
-numeric.convpow2 = function convpow2(ax,ay,bx,by) {
-    numeric.fftpow2(ax,ay);
-    numeric.fftpow2(bx,by);
-    var i,n = ax.length,axi,bxi,ayi,byi;
-    for(i=n-1;i!==-1;--i) {
-        axi = ax[i]; ayi = ay[i]; bxi = bx[i]; byi = by[i];
-        ax[i] = axi*bxi-ayi*byi;
-        ay[i] = axi*byi+ayi*bxi;
-    }
-    numeric.ifftpow2(ax,ay);
-};
-numeric.T.prototype.fft = function fft() {
-    var x = this.x, y = this.y;
-    var n = x.length, log = Math.log, log2 = log(2),
-        p = Math.ceil(log(2*n-1)/log2), m = Math.pow(2,p);
-    var cx = numeric.rep([m],0), cy = numeric.rep([m],0), cos = Math.cos, sin = Math.sin;
-    var k, c = (-3.141592653589793238462643383279502884197169399375105820/n),t;
-    var a = numeric.rep([m],0), b = numeric.rep([m],0),nhalf = Math.floor(n/2);
-    for(k=0;k<n;k++) a[k] = x[k];
-    if(typeof y !== "undefined") for(k=0;k<n;k++) b[k] = y[k];
-    cx[0] = 1;
-    for(k=1;k<=m/2;k++) {
-        t = c*k*k;
-        cx[k] = cos(t);
-        cy[k] = sin(t);
-        cx[m-k] = cos(t);
-        cy[m-k] = sin(t);
-    }
-    var X = new numeric.T(a,b), Y = new numeric.T(cx,cy);
-    X = X.mul(Y);
-    numeric.convpow2(X.x,X.y,numeric.clone(Y.x),numeric.neg(Y.y));
-    X = X.mul(Y);
-    X.x.length = n;
-    X.y.length = n;
-    return X;
-};
-numeric.T.prototype.ifft = function ifft() {
-    var x = this.x, y = this.y;
-    var n = x.length, log = Math.log, log2 = log(2),
-        p = Math.ceil(log(2*n-1)/log2), m = Math.pow(2,p);
-    var cx = numeric.rep([m],0), cy = numeric.rep([m],0), cos = Math.cos, sin = Math.sin;
-    var k, c = (3.141592653589793238462643383279502884197169399375105820/n),t;
-    var a = numeric.rep([m],0), b = numeric.rep([m],0),nhalf = Math.floor(n/2);
-    for(k=0;k<n;k++) a[k] = x[k];
-    if(typeof y !== "undefined") for(k=0;k<n;k++) b[k] = y[k];
-    cx[0] = 1;
-    for(k=1;k<=m/2;k++) {
-        t = c*k*k;
-        cx[k] = cos(t);
-        cy[k] = sin(t);
-        cx[m-k] = cos(t);
-        cy[m-k] = sin(t);
-    }
-    var X = new numeric.T(a,b), Y = new numeric.T(cx,cy);
-    X = X.mul(Y);
-    numeric.convpow2(X.x,X.y,numeric.clone(Y.x),numeric.neg(Y.y));
-    X = X.mul(Y);
-    X.x.length = n;
-    X.y.length = n;
-    return X.div(n);
-};
-
-//9. Unconstrained optimization
-numeric.gradient = function gradient(f,x) {
-    var n = x.length;
-    var f0 = f(x);
-    if(isNaN(f0)) throw new Error('gradient: f(x) is a NaN!');
-    var max = Math.max;
-    var i,x0 = numeric.clone(x),f1,f2, J = Array(n);
-    var div = numeric.div, sub = numeric.sub,errest,roundoff,max = Math.max,eps = 1e-3,abs = Math.abs, min = Math.min;
-    var t0,t1,t2,it=0,d1,d2,N;
-    for(i=0;i<n;i++) {
-        var h = max(1e-6*f0,1e-8);
-        while(1) {
-            ++it;
-            if(it>20) { throw new Error("Numerical gradient fails"); }
-            x0[i] = x[i]+h;
-            f1 = f(x0);
-            x0[i] = x[i]-h;
-            f2 = f(x0);
-            x0[i] = x[i];
-            if(isNaN(f1) || isNaN(f2)) { h/=16; continue; }
-            J[i] = (f1-f2)/(2*h);
-            t0 = x[i]-h;
-            t1 = x[i];
-            t2 = x[i]+h;
-            d1 = (f1-f0)/h;
-            d2 = (f0-f2)/h;
-            N = max(abs(J[i]),abs(f0),abs(f1),abs(f2),abs(t0),abs(t1),abs(t2),1e-8);
-            errest = min(max(abs(d1-J[i]),abs(d2-J[i]),abs(d1-d2))/N,h/N);
-            if(errest>eps) { h/=16; }
-            else break;
-            }
-    }
-    return J;
-};
-
-numeric.uncmin = function uncmin(f,x0,tol,gradient,maxit,callback,options) {
-    var grad = numeric.gradient;
-    if(typeof options === "undefined") { options = {}; }
-    if(typeof tol === "undefined") { tol = 1e-8; }
-    if(typeof gradient === "undefined") { gradient = function(x) { return grad(f,x); }; }
-    if(typeof maxit === "undefined") maxit = 1000;
-    x0 = numeric.clone(x0);
-    var n = x0.length;
-    var f0 = f(x0),f1,df0;
-    if(isNaN(f0)) throw new Error('uncmin: f(x0) is a NaN!');
-    var max = Math.max, norm2 = numeric.norm2;
-    tol = max(tol,numeric.epsilon);
-    var step,g0,g1,H1 = options.Hinv || numeric.identity(n);
-    var dot = numeric.dot, inv = numeric.inv, sub = numeric.sub, add = numeric.add, ten = numeric.tensor, div = numeric.div, mul = numeric.mul;
-    var all = numeric.all, isfinite = numeric.isFinite, neg = numeric.neg;
-    var it=0,i,s,x1,y,Hy,Hs,ys,i0,t,nstep,t1,t2;
-    var msg = "";
-    g0 = gradient(x0);
-    while(it<maxit) {
-        if(typeof callback === "function") { if(callback(it,x0,f0,g0,H1)) { msg = "Callback returned true"; break; } }
-        if(!all(isfinite(g0))) { msg = "Gradient has Infinity or NaN"; break; }
-        step = neg(dot(H1,g0));
-        if(!all(isfinite(step))) { msg = "Search direction has Infinity or NaN"; break; }
-        nstep = norm2(step);
-        if(nstep < tol) { msg="Newton step smaller than tol"; break; }
-        t = 1;
-        df0 = dot(g0,step);
-        // line search
-        x1 = x0;
-        while(it < maxit) {
-            if(t*nstep < tol) { break; }
-            s = mul(step,t);
-            x1 = add(x0,s);
-            f1 = f(x1);
-            if(f1-f0 >= 0.1*t*df0 || isNaN(f1)) {
-                t *= 0.5;
-                ++it;
-                continue;
-            }
-            break;
-        }
-        if(t*nstep < tol) { msg = "Line search step size smaller than tol"; break; }
-        if(it === maxit) { msg = "maxit reached during line search"; break; }
-        g1 = gradient(x1);
-        y = sub(g1,g0);
-        ys = dot(y,s);
-        Hy = dot(H1,y);
-        H1 = sub(add(H1,
-                mul(
-                        (ys+dot(y,Hy))/(ys*ys),
-                        ten(s,s)    )),
-                div(add(ten(Hy,s),ten(s,Hy)),ys));
-        x0 = x1;
-        f0 = f1;
-        g0 = g1;
-        ++it;
-    }
-    return {solution: x0, f: f0, gradient: g0, invHessian: H1, iterations:it, message: msg};
-};
-
-// 10. Ode solver (Dormand-Prince)
-numeric.Dopri = function Dopri(x,y,f,ymid,iterations,msg,events) {
-    this.x = x;
-    this.y = y;
-    this.f = f;
-    this.ymid = ymid;
-    this.iterations = iterations;
-    this.events = events;
-    this.message = msg;
-};
-numeric.Dopri.prototype._at = function _at(xi,j) {
-    function sqr(x) { return x*x; }
-    var sol = this;
-    var xs = sol.x;
-    var ys = sol.y;
-    var k1 = sol.f;
-    var ymid = sol.ymid;
-    var n = xs.length;
-    var x0,x1,xh,y0,y1,yh,xi;
-    var floor = Math.floor,h;
-    var c = 0.5;
-    var add = numeric.add, mul = numeric.mul,sub = numeric.sub, p,q,w;
-    x0 = xs[j];
-    x1 = xs[j+1];
-    y0 = ys[j];
-    y1 = ys[j+1];
-    h  = x1-x0;
-    xh = x0+c*h;
-    yh = ymid[j];
-    p = sub(k1[j  ],mul(y0,1/(x0-xh)+2/(x0-x1)));
-    q = sub(k1[j+1],mul(y1,1/(x1-xh)+2/(x1-x0)));
-    w = [sqr(xi - x1) * (xi - xh) / sqr(x0 - x1) / (x0 - xh),
-         sqr(xi - x0) * sqr(xi - x1) / sqr(x0 - xh) / sqr(x1 - xh),
-         sqr(xi - x0) * (xi - xh) / sqr(x1 - x0) / (x1 - xh),
-         (xi - x0) * sqr(xi - x1) * (xi - xh) / sqr(x0-x1) / (x0 - xh),
-         (xi - x1) * sqr(xi - x0) * (xi - xh) / sqr(x0-x1) / (x1 - xh)];
-    return add(add(add(add(mul(y0,w[0]),
-                           mul(yh,w[1])),
-                           mul(y1,w[2])),
-                           mul( p,w[3])),
-                           mul( q,w[4]));
-};
-numeric.Dopri.prototype.at = function at(x) {
-    var i,j,k,floor = Math.floor;
-    if(typeof x !== "number") {
-        var n = x.length, ret = Array(n);
-        for(i=n-1;i!==-1;--i) {
-            ret[i] = this.at(x[i]);
-        }
-        return ret;
-    }
-    var x0 = this.x;
-    i = 0; j = x0.length-1;
-    while(j-i>1) {
-        k = floor(0.5*(i+j));
-        if(x0[k] <= x) i = k;
-        else j = k;
-    }
-    return this._at(x,i);
-};
-
-numeric.dopri = function dopri(x0,x1,y0,f,tol,maxit,event) {
-    if(typeof tol === "undefined") { tol = 1e-6; }
-    if(typeof maxit === "undefined") { maxit = 1000; }
-    var xs = [x0], ys = [y0], k1 = [f(x0,y0)], k2,k3,k4,k5,k6,k7, ymid = [];
-    var A2 = 1/5;
-    var A3 = [3/40,9/40];
-    var A4 = [44/45,-56/15,32/9];
-    var A5 = [19372/6561,-25360/2187,64448/6561,-212/729];
-    var A6 = [9017/3168,-355/33,46732/5247,49/176,-5103/18656];
-    var b = [35/384,0,500/1113,125/192,-2187/6784,11/84];
-    var bm = [0.5*6025192743/30085553152,
-              0,
-              0.5*51252292925/65400821598,
-              0.5*-2691868925/45128329728,
-              0.5*187940372067/1594534317056,
-              0.5*-1776094331/19743644256,
-              0.5*11237099/235043384];
-    var c = [1/5,3/10,4/5,8/9,1,1];
-    var e = [-71/57600,0,71/16695,-71/1920,17253/339200,-22/525,1/40];
-    var i = 0,er,j;
-    var h = (x1-x0)/10;
-    var it = 0;
-    var add = numeric.add, mul = numeric.mul, y1,erinf;
-    var max = Math.max, min = Math.min, abs = Math.abs, norminf = numeric.norminf,pow = Math.pow;
-    var any = numeric.any, lt = numeric.lt, and = numeric.and, sub = numeric.sub;
-    var e0, e1, ev;
-    var ret = new numeric.Dopri(xs,ys,k1,ymid,-1,"");
-    if(typeof event === "function") e0 = event(x0,y0);
-    while(x0<x1 && it<maxit) {
-        ++it;
-        if(x0+h>x1) h = x1-x0;
-        k2 = f(x0+c[0]*h,                add(y0,mul(   A2*h,k1[i])));
-        k3 = f(x0+c[1]*h,            add(add(y0,mul(A3[0]*h,k1[i])),mul(A3[1]*h,k2)));
-        k4 = f(x0+c[2]*h,        add(add(add(y0,mul(A4[0]*h,k1[i])),mul(A4[1]*h,k2)),mul(A4[2]*h,k3)));
-        k5 = f(x0+c[3]*h,    add(add(add(add(y0,mul(A5[0]*h,k1[i])),mul(A5[1]*h,k2)),mul(A5[2]*h,k3)),mul(A5[3]*h,k4)));
-        k6 = f(x0+c[4]*h,add(add(add(add(add(y0,mul(A6[0]*h,k1[i])),mul(A6[1]*h,k2)),mul(A6[2]*h,k3)),mul(A6[3]*h,k4)),mul(A6[4]*h,k5)));
-        y1 = add(add(add(add(add(y0,mul(k1[i],h*b[0])),mul(k3,h*b[2])),mul(k4,h*b[3])),mul(k5,h*b[4])),mul(k6,h*b[5]));
-        k7 = f(x0+h,y1);
-        er = add(add(add(add(add(mul(k1[i],h*e[0]),mul(k3,h*e[2])),mul(k4,h*e[3])),mul(k5,h*e[4])),mul(k6,h*e[5])),mul(k7,h*e[6]));
-        if(typeof er === "number") erinf = abs(er);
-        else erinf = norminf(er);
-        if(erinf > tol) { // reject
-            h = 0.2*h*pow(tol/erinf,0.25);
-            if(x0+h === x0) {
-                ret.msg = "Step size became too small";
-                break;
-            }
-            continue;
-        }
-        ymid[i] = add(add(add(add(add(add(y0,
-                mul(k1[i],h*bm[0])),
-                mul(k3   ,h*bm[2])),
-                mul(k4   ,h*bm[3])),
-                mul(k5   ,h*bm[4])),
-                mul(k6   ,h*bm[5])),
-                mul(k7   ,h*bm[6]));
-        ++i;
-        xs[i] = x0+h;
-        ys[i] = y1;
-        k1[i] = k7;
-        if(typeof event === "function") {
-            var yi,xl = x0,xr = x0+0.5*h,xi;
-            e1 = event(xr,ymid[i-1]);
-            ev = and(lt(e0,0),lt(0,e1));
-            if(!any(ev)) { xl = xr; xr = x0+h; e0 = e1; e1 = event(xr,y1); ev = and(lt(e0,0),lt(0,e1)); }
-            if(any(ev)) {
-                var xc, yc, en,ei;
-                var side=0, sl = 1.0, sr = 1.0;
-                while(1) {
-                    if(typeof e0 === "number") xi = (sr*e1*xl-sl*e0*xr)/(sr*e1-sl*e0);
-                    else {
-                        xi = xr;
-                        for(j=e0.length-1;j!==-1;--j) {
-                            if(e0[j]<0 && e1[j]>0) xi = min(xi,(sr*e1[j]*xl-sl*e0[j]*xr)/(sr*e1[j]-sl*e0[j]));
-                        }
-                    }
-                    if(xi <= xl || xi >= xr) break;
-                    yi = ret._at(xi, i-1);
-                    ei = event(xi,yi);
-                    en = and(lt(e0,0),lt(0,ei));
-                    if(any(en)) {
-                        xr = xi;
-                        e1 = ei;
-                        ev = en;
-                        sr = 1.0;
-                        if(side === -1) sl *= 0.5;
-                        else sl = 1.0;
-                        side = -1;
-                    } else {
-                        xl = xi;
-                        e0 = ei;
-                        sl = 1.0;
-                        if(side === 1) sr *= 0.5;
-                        else sr = 1.0;
-                        side = 1;
-                    }
-                }
-                y1 = ret._at(0.5*(x0+xi),i-1);
-                ret.f[i] = f(xi,yi);
-                ret.x[i] = xi;
-                ret.y[i] = yi;
-                ret.ymid[i-1] = y1;
-                ret.events = ev;
-                ret.iterations = it;
-                return ret;
-            }
-        }
-        x0 += h;
-        y0 = y1;
-        e0 = e1;
-        h = min(0.8*h*pow(tol/erinf,0.25),4*h);
-    }
-    ret.iterations = it;
-    return ret;
-};
-
-// 11. Ax = b
-numeric.LU = function(A, fast) {
-  fast = fast || false;
-
-  var abs = Math.abs;
-  var i, j, k, absAjk, Akk, Ak, Pk, Ai;
-  var max;
-  var n = A.length, n1 = n-1;
-  var P = new Array(n);
-  if(!fast) A = numeric.clone(A);
-
-  for (k = 0; k < n; ++k) {
-    Pk = k;
-    Ak = A[k];
-    max = abs(Ak[k]);
-    for (j = k + 1; j < n; ++j) {
-      absAjk = abs(A[j][k]);
-      if (max < absAjk) {
-        max = absAjk;
-        Pk = j;
-      }
-    }
-    P[k] = Pk;
-
-    if (Pk != k) {
-      A[k] = A[Pk];
-      A[Pk] = Ak;
-      Ak = A[k];
-    }
-
-    Akk = Ak[k];
-
-    for (i = k + 1; i < n; ++i) {
-      A[i][k] /= Akk;
-    }
-
-    for (i = k + 1; i < n; ++i) {
-      Ai = A[i];
-      for (j = k + 1; j < n1; ++j) {
-        Ai[j] -= Ai[k] * Ak[j];
-        ++j;
-        Ai[j] -= Ai[k] * Ak[j];
-      }
-      if(j===n1) Ai[j] -= Ai[k] * Ak[j];
-    }
-  }
-
-  return {
-    LU: A,
-    P:  P
-  };
-};
-
-numeric.LUsolve = function LUsolve(LUP, b) {
-  var i, j;
-  var LU = LUP.LU;
-  var n   = LU.length;
-  var x = numeric.clone(b);
-  var P   = LUP.P;
-  var Pi, LUi, LUii, tmp;
-
-  for (i=n-1;i!==-1;--i) x[i] = b[i];
-  for (i = 0; i < n; ++i) {
-    Pi = P[i];
-    if (P[i] !== i) {
-      tmp = x[i];
-      x[i] = x[Pi];
-      x[Pi] = tmp;
-    }
-
-    LUi = LU[i];
-    for (j = 0; j < i; ++j) {
-      x[i] -= x[j] * LUi[j];
-    }
-  }
-
-  for (i = n - 1; i >= 0; --i) {
-    LUi = LU[i];
-    for (j = i + 1; j < n; ++j) {
-      x[i] -= x[j] * LUi[j];
-    }
-
-    x[i] /= LUi[i];
-  }
-
-  return x;
-};
-
-numeric.solve = function solve(A,b,fast) { return numeric.LUsolve(numeric.LU(A,fast), b); };
-
-// 12. Linear programming
-numeric.echelonize = function echelonize(A) {
-    var s = numeric.dim(A), m = s[0], n = s[1];
-    var I = numeric.identity(m);
-    var P = Array(m);
-    var i,j,k,l,Ai,Ii,Z,a;
-    var abs = Math.abs;
-    var diveq = numeric.diveq;
-    A = numeric.clone(A);
-    for(i=0;i<m;++i) {
-        k = 0;
-        Ai = A[i];
-        Ii = I[i];
-        for(j=1;j<n;++j) if(abs(Ai[k])<abs(Ai[j])) k=j;
-        P[i] = k;
-        diveq(Ii,Ai[k]);
-        diveq(Ai,Ai[k]);
-        for(j=0;j<m;++j) if(j!==i) {
-            Z = A[j]; a = Z[k];
-            for(l=n-1;l!==-1;--l) Z[l] -= Ai[l]*a;
-            Z = I[j];
-            for(l=m-1;l!==-1;--l) Z[l] -= Ii[l]*a;
-        }
-    }
-    return {I:I, A:A, P:P};
-};
-
-numeric.__solveLP = function __solveLP(c,A,b,tol,maxit,x,flag) {
-    var sum = numeric.sum, log = numeric.log, mul = numeric.mul, sub = numeric.sub, dot = numeric.dot, div = numeric.div, add = numeric.add;
-    var m = c.length, n = b.length,y;
-    var unbounded = false, cb,i0=0;
-    var alpha = 1.0;
-    var f0,df0,AT = numeric.transpose(A), svd = numeric.svd,transpose = numeric.transpose,leq = numeric.leq, sqrt = Math.sqrt, abs = Math.abs;
-    var muleq = numeric.muleq;
-    var norm = numeric.norminf, any = numeric.any,min = Math.min;
-    var all = numeric.all, gt = numeric.gt;
-    var p = Array(m), A0 = Array(n),e=numeric.rep([n],1), H;
-    var solve = numeric.solve, z = sub(b,dot(A,x)),count;
-    var dotcc = dot(c,c);
-    var g;
-    for(count=i0;count<maxit;++count) {
-        var i,j,d;
-        for(i=n-1;i!==-1;--i) A0[i] = div(A[i],z[i]);
-        var A1 = transpose(A0);
-        for(i=m-1;i!==-1;--i) p[i] = (/*x[i]+*/sum(A1[i]));
-        alpha = 0.25*abs(dotcc/dot(c,p));
-        var a1 = 100*sqrt(dotcc/dot(p,p));
-        if(!isFinite(alpha) || alpha>a1) alpha = a1;
-        g = add(c,mul(alpha,p));
-        H = dot(A1,A0);
-        for(i=m-1;i!==-1;--i) H[i][i] += 1;
-        d = solve(H,div(g,alpha),true);
-        var t0 = div(z,dot(A,d));
-        var t = 1.0;
-        for(i=n-1;i!==-1;--i) if(t0[i]<0) t = min(t,-0.999*t0[i]);
-        y = sub(x,mul(d,t));
-        z = sub(b,dot(A,y));
-        if(!all(gt(z,0))) return { solution: x, message: "", iterations: count };
-        x = y;
-        if(alpha<tol) return { solution: y, message: "", iterations: count };
-        if(flag) {
-            var s = dot(c,g), Ag = dot(A,g);
-            unbounded = true;
-            for(i=n-1;i!==-1;--i) if(s*Ag[i]<0) { unbounded = false; break; }
-        } else {
-            if(x[m-1]>=0) unbounded = false;
-            else unbounded = true;
-        }
-        if(unbounded) return { solution: y, message: "Unbounded", iterations: count };
-    }
-    return { solution: x, message: "maximum iteration count exceeded", iterations:count };
-};
-
-numeric._solveLP = function _solveLP(c,A,b,tol,maxit) {
-    var m = c.length, n = b.length,y;
-    var sum = numeric.sum, log = numeric.log, mul = numeric.mul, sub = numeric.sub, dot = numeric.dot, div = numeric.div, add = numeric.add;
-    var c0 = numeric.rep([m],0).concat([1]);
-    var J = numeric.rep([n,1],-1);
-    var A0 = numeric.blockMatrix([[A                   ,   J  ]]);
-    var b0 = b;
-    var y = numeric.rep([m],0).concat(Math.max(0,numeric.sup(numeric.neg(b)))+1);
-    var x0 = numeric.__solveLP(c0,A0,b0,tol,maxit,y,false);
-    var x = numeric.clone(x0.solution);
-    x.length = m;
-    var foo = numeric.inf(sub(b,dot(A,x)));
-    if(foo<0) { return { solution: NaN, message: "Infeasible", iterations: x0.iterations }; }
-    var ret = numeric.__solveLP(c, A, b, tol, maxit-x0.iterations, x, true);
-    ret.iterations += x0.iterations;
-    return ret;
-};
-
-numeric.solveLP = function solveLP(c,A,b,Aeq,beq,tol,maxit) {
-    if(typeof maxit === "undefined") maxit = 1000;
-    if(typeof tol === "undefined") tol = numeric.epsilon;
-    if(typeof Aeq === "undefined") return numeric._solveLP(c,A,b,tol,maxit);
-    var m = Aeq.length, n = Aeq[0].length, o = A.length;
-    var B = numeric.echelonize(Aeq);
-    var flags = numeric.rep([n],0);
-    var P = B.P;
-    var Q = [];
-    var i;
-    for(i=P.length-1;i!==-1;--i) flags[P[i]] = 1;
-    for(i=n-1;i!==-1;--i) if(flags[i]===0) Q.push(i);
-    var g = numeric.getRange;
-    var I = numeric.linspace(0,m-1), J = numeric.linspace(0,o-1);
-    var Aeq2 = g(Aeq,I,Q), A1 = g(A,J,P), A2 = g(A,J,Q), dot = numeric.dot, sub = numeric.sub;
-    var A3 = dot(A1,B.I);
-    var A4 = sub(A2,dot(A3,Aeq2)), b4 = sub(b,dot(A3,beq));
-    var c1 = Array(P.length), c2 = Array(Q.length);
-    for(i=P.length-1;i!==-1;--i) c1[i] = c[P[i]];
-    for(i=Q.length-1;i!==-1;--i) c2[i] = c[Q[i]];
-    var c4 = sub(c2,dot(c1,dot(B.I,Aeq2)));
-    var S = numeric._solveLP(c4,A4,b4,tol,maxit);
-    var x2 = S.solution;
-    if(x2!==x2) return S;
-    var x1 = dot(B.I,sub(beq,dot(Aeq2,x2)));
-    var x = Array(c.length);
-    for(i=P.length-1;i!==-1;--i) x[P[i]] = x1[i];
-    for(i=Q.length-1;i!==-1;--i) x[Q[i]] = x2[i];
-    return { solution: x, message:S.message, iterations: S.iterations };
-};
-
-numeric.MPStoLP = function MPStoLP(MPS) {
-    if(MPS instanceof String) { MPS.split('\n'); }
-    var state = 0;
-    var states = ['Initial state','NAME','ROWS','COLUMNS','RHS','BOUNDS','ENDATA'];
-    var n = MPS.length;
-    var i,j,z,N=0,rows = {}, sign = [], rl = 0, vars = {}, nv = 0;
-    var name;
-    var c = [], A = [], b = [];
-    function err(e) { throw new Error('MPStoLP: '+e+'\nLine '+i+': '+MPS[i]+'\nCurrent state: '+states[state]+'\n'); }
-    for(i=0;i<n;++i) {
-        z = MPS[i];
-        var w0 = z.match(/\S*/g);
-        var w = [];
-        for(j=0;j<w0.length;++j) if(w0[j]!=="") w.push(w0[j]);
-        if(w.length === 0) continue;
-        for(j=0;j<states.length;++j) if(z.substr(0,states[j].length) === states[j]) break;
-        if(j<states.length) {
-            state = j;
-            if(j===1) { name = w[1]; }
-            if(j===6) return { name:name, c:c, A:numeric.transpose(A), b:b, rows:rows, vars:vars };
-            continue;
-        }
-        switch(state) {
-        case 0: case 1: err('Unexpected line');
-        case 2: 
-            switch(w[0]) {
-            case 'N': if(N===0) N = w[1]; else err('Two or more N rows'); break;
-            case 'L': rows[w[1]] = rl; sign[rl] = 1; b[rl] = 0; ++rl; break;
-            case 'G': rows[w[1]] = rl; sign[rl] = -1;b[rl] = 0; ++rl; break;
-            case 'E': rows[w[1]] = rl; sign[rl] = 0;b[rl] = 0; ++rl; break;
-            default: err('Parse error '+numeric.prettyPrint(w));
-            }
-            break;
-        case 3:
-            if(!vars.hasOwnProperty(w[0])) { vars[w[0]] = nv; c[nv] = 0; A[nv] = numeric.rep([rl],0); ++nv; }
-            var p = vars[w[0]];
-            for(j=1;j<w.length;j+=2) {
-                if(w[j] === N) { c[p] = parseFloat(w[j+1]); continue; }
-                var q = rows[w[j]];
-                A[p][q] = (sign[q]<0?-1:1)*parseFloat(w[j+1]);
-            }
-            break;
-        case 4:
-            for(j=1;j<w.length;j+=2) b[rows[w[j]]] = (sign[rows[w[j]]]<0?-1:1)*parseFloat(w[j+1]);
-            break;
-        case 5: /*FIXME*/ break;
-        case 6: err('Internal error');
-        }
-    }
-    err('Reached end of file without ENDATA');
-};
-// seedrandom.js version 2.0.
-// Author: David Bau 4/2/2011
-//
-// Defines a method Math.seedrandom() that, when called, substitutes
-// an explicitly seeded RC4-based algorithm for Math.random().  Also
-// supports automatic seeding from local or network sources of entropy.
-//
-// Usage:
-//
-//   <script src=http://davidbau.com/encode/seedrandom-min.js></script>
-//
-//   Math.seedrandom('yipee'); Sets Math.random to a function that is
-//                             initialized using the given explicit seed.
-//
-//   Math.seedrandom();        Sets Math.random to a function that is
-//                             seeded using the current time, dom state,
-//                             and other accumulated local entropy.
-//                             The generated seed string is returned.
-//
-//   Math.seedrandom('yowza', true);
-//                             Seeds using the given explicit seed mixed
-//                             together with accumulated entropy.
-//
-//   <script src="http://bit.ly/srandom-512"></script>
-//                             Seeds using physical random bits downloaded
-//                             from random.org.
-//
-//   <script src="https://jsonlib.appspot.com/urandom?callback=Math.seedrandom">
-//   </script>                 Seeds using urandom bits from call.jsonlib.com,
-//                             which is faster than random.org.
-//
-// Examples:
-//
-//   Math.seedrandom("hello");            // Use "hello" as the seed.
-//   document.write(Math.random());       // Always 0.5463663768140734
-//   document.write(Math.random());       // Always 0.43973793770592234
-//   var rng1 = Math.random;              // Remember the current prng.
-//
-//   var autoseed = Math.seedrandom();    // New prng with an automatic seed.
-//   document.write(Math.random());       // Pretty much unpredictable.
-//
-//   Math.random = rng1;                  // Continue "hello" prng sequence.
-//   document.write(Math.random());       // Always 0.554769432473455
-//
-//   Math.seedrandom(autoseed);           // Restart at the previous seed.
-//   document.write(Math.random());       // Repeat the 'unpredictable' value.
-//
-// Notes:
-//
-// Each time seedrandom('arg') is called, entropy from the passed seed
-// is accumulated in a pool to help generate future seeds for the
-// zero-argument form of Math.seedrandom, so entropy can be injected over
-// time by calling seedrandom with explicit data repeatedly.
-//
-// On speed - This javascript implementation of Math.random() is about
-// 3-10x slower than the built-in Math.random() because it is not native
-// code, but this is typically fast enough anyway.  Seeding is more expensive,
-// especially if you use auto-seeding.  Some details (timings on Chrome 4):
-//
-// Our Math.random()            - avg less than 0.002 milliseconds per call
-// seedrandom('explicit')       - avg less than 0.5 milliseconds per call
-// seedrandom('explicit', true) - avg less than 2 milliseconds per call
-// seedrandom()                 - avg about 38 milliseconds per call
-//
-// LICENSE (BSD):
-//
-// Copyright 2010 David Bau, all rights reserved.
-//
-// Redistribution and use in source and binary forms, with or without
-// modification, are permitted provided that the following conditions are met:
-// 
-//   1. Redistributions of source code must retain the above copyright
-//      notice, this list of conditions and the following disclaimer.
-//
-//   2. Redistributions in binary form must reproduce the above copyright
-//      notice, this list of conditions and the following disclaimer in the
-//      documentation and/or other materials provided with the distribution.
-// 
-//   3. Neither the name of this module nor the names of its contributors may
-//      be used to endorse or promote products derived from this software
-//      without specific prior written permission.
-// 
-// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
-// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
-// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
-// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-//
-/**
- * All code is in an anonymous closure to keep the global namespace clean.
- *
- * @param {number=} overflow 
- * @param {number=} startdenom
- */
-
-// Patched by Seb so that seedrandom.js does not pollute the Math object.
-// My tests suggest that doing Math.trouble = 1 makes Math lookups about 5%
-// slower.
-numeric.seedrandom = { pow:Math.pow, random:Math.random };
-
-(function (pool, math, width, chunks, significance, overflow, startdenom) {
-
-
-//
-// seedrandom()
-// This is the seedrandom function described above.
-//
-math['seedrandom'] = function seedrandom(seed, use_entropy) {
-  var key = [];
-  var arc4;
-
-  // Flatten the seed string or build one from local entropy if needed.
-  seed = mixkey(flatten(
-    use_entropy ? [seed, pool] :
-    arguments.length ? seed :
-    [new Date().getTime(), pool, window], 3), key);
-
-  // Use the seed to initialize an ARC4 generator.
-  arc4 = new ARC4(key);
-
-  // Mix the randomness into accumulated entropy.
-  mixkey(arc4.S, pool);
-
-  // Override Math.random
-
-  // This function returns a random double in [0, 1) that contains
-  // randomness in every bit of the mantissa of the IEEE 754 value.
-
-  math['random'] = function random() {  // Closure to return a random double:
-    var n = arc4.g(chunks);             // Start with a numerator n < 2 ^ 48
-    var d = startdenom;                 //   and denominator d = 2 ^ 48.
-    var x = 0;                          //   and no 'extra last byte'.
-    while (n < significance) {          // Fill up all significant digits by
-      n = (n + x) * width;              //   shifting numerator and
-      d *= width;                       //   denominator and generating a
-      x = arc4.g(1);                    //   new least-significant-byte.
-    }
-    while (n >= overflow) {             // To avoid rounding up, before adding
-      n /= 2;                           //   last byte, shift everything
-      d /= 2;                           //   right using integer math until
-      x >>>= 1;                         //   we have exactly the desired bits.
-    }
-    return (n + x) / d;                 // Form the number within [0, 1).
-  };
-
-  // Return the seed that was used
-  return seed;
-};
-
-//
-// ARC4
-//
-// An ARC4 implementation.  The constructor takes a key in the form of
-// an array of at most (width) integers that should be 0 <= x < (width).
-//
-// The g(count) method returns a pseudorandom integer that concatenates
-// the next (count) outputs from ARC4.  Its return value is a number x
-// that is in the range 0 <= x < (width ^ count).
-//
-/** @constructor */
-function ARC4(key) {
-  var t, u, me = this, keylen = key.length;
-  var i = 0, j = me.i = me.j = me.m = 0;
-  me.S = [];
-  me.c = [];
-
-  // The empty key [] is treated as [0].
-  if (!keylen) { key = [keylen++]; }
-
-  // Set up S using the standard key scheduling algorithm.
-  while (i < width) { me.S[i] = i++; }
-  for (i = 0; i < width; i++) {
-    t = me.S[i];
-    j = lowbits(j + t + key[i % keylen]);
-    u = me.S[j];
-    me.S[i] = u;
-    me.S[j] = t;
-  }
-
-  // The "g" method returns the next (count) outputs as one number.
-  me.g = function getnext(count) {
-    var s = me.S;
-    var i = lowbits(me.i + 1); var t = s[i];
-    var j = lowbits(me.j + t); var u = s[j];
-    s[i] = u;
-    s[j] = t;
-    var r = s[lowbits(t + u)];
-    while (--count) {
-      i = lowbits(i + 1); t = s[i];
-      j = lowbits(j + t); u = s[j];
-      s[i] = u;
-      s[j] = t;
-      r = r * width + s[lowbits(t + u)];
-    }
-    me.i = i;
-    me.j = j;
-    return r;
-  };
-  // For robust unpredictability discard an initial batch of values.
-  // See http://www.rsa.com/rsalabs/node.asp?id=2009
-  me.g(width);
-}
-
-//
-// flatten()
-// Converts an object tree to nested arrays of strings.
-//
-/** @param {Object=} result 
-  * @param {string=} prop
-  * @param {string=} typ */
-function flatten(obj, depth, result, prop, typ) {
-  result = [];
-  typ = typeof(obj);
-  if (depth && typ == 'object') {
-    for (prop in obj) {
-      if (prop.indexOf('S') < 5) {    // Avoid FF3 bug (local/sessionStorage)
-        try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}
-      }
-    }
-  }
-  return (result.length ? result : obj + (typ != 'string' ? '\0' : ''));
-}
-
-//
-// mixkey()
-// Mixes a string seed into a key that is an array of integers, and
-// returns a shortened string seed that is equivalent to the result key.
-//
-/** @param {number=} smear 
-  * @param {number=} j */
-function mixkey(seed, key, smear, j) {
-  seed += '';                         // Ensure the seed is a string
-  smear = 0;
-  for (j = 0; j < seed.length; j++) {
-    key[lowbits(j)] =
-      lowbits((smear ^= key[lowbits(j)] * 19) + seed.charCodeAt(j));
-  }
-  seed = '';
-  for (j in key) { seed += String.fromCharCode(key[j]); }
-  return seed;
-}
-
-//
-// lowbits()
-// A quick "n mod width" for width a power of 2.
-//
-function lowbits(n) { return n & (width - 1); }
-
-//
-// The following constants are related to IEEE 754 limits.
-//
-startdenom = math.pow(width, chunks);
-significance = math.pow(2, significance);
-overflow = significance * 2;
-
-//
-// When seedrandom.js is loaded, we immediately mix a few bits
-// from the built-in RNG into the entropy pool.  Because we do
-// not want to intefere with determinstic PRNG state later,
-// seedrandom will not call math.random on its own again after
-// initialization.
-//
-mixkey(math.random(), pool);
-
-// End anonymous scope, and pass initial values.
-}(
-  [],   // pool: entropy pool starts empty
-  numeric.seedrandom, // math: package containing random, pow, and seedrandom
-  256,  // width: each RC4 output is 0 <= x < 256
-  6,    // chunks: at least six RC4 outputs for each double
-  52    // significance: there are 52 significant digits in a double
-  ));
-/* This file is a slightly modified version of quadprog.js from Alberto Santini.
- * It has been slightly modified by Sébastien Loisel to make sure that it handles
- * 0-based Arrays instead of 1-based Arrays.
- * License is in resources/LICENSE.quadprog */
-(function(exports) {
-
-function base0to1(A) {
-    if(typeof A !== "object") { return A; }
-    var ret = [], i,n=A.length;
-    for(i=0;i<n;i++) ret[i+1] = base0to1(A[i]);
-    return ret;
-}
-function base1to0(A) {
-    if(typeof A !== "object") { return A; }
-    var ret = [], i,n=A.length;
-    for(i=1;i<n;i++) ret[i-1] = base1to0(A[i]);
-    return ret;
-}
-
-function dpori(a, lda, n) {
-    var i, j, k, kp1, t;
-
-    for (k = 1; k <= n; k = k + 1) {
-        a[k][k] = 1 / a[k][k];
-        t = -a[k][k];
-        //~ dscal(k - 1, t, a[1][k], 1);
-        for (i = 1; i < k; i = i + 1) {
-            a[i][k] = t * a[i][k];
-        }
-
-        kp1 = k + 1;
-        if (n < kp1) {
-            break;
-        }
-        for (j = kp1; j <= n; j = j + 1) {
-            t = a[k][j];
-            a[k][j] = 0;
-            //~ daxpy(k, t, a[1][k], 1, a[1][j], 1);
-            for (i = 1; i <= k; i = i + 1) {
-                a[i][j] = a[i][j] + (t * a[i][k]);
-            }
-        }
-    }
-
-}
-
-function dposl(a, lda, n, b) {
-    var i, k, kb, t;
-
-    for (k = 1; k <= n; k = k + 1) {
-        //~ t = ddot(k - 1, a[1][k], 1, b[1], 1);
-        t = 0;
-        for (i = 1; i < k; i = i + 1) {
-            t = t + (a[i][k] * b[i]);
-        }
-
-        b[k] = (b[k] - t) / a[k][k];
-    }
-
-    for (kb = 1; kb <= n; kb = kb + 1) {
-        k = n + 1 - kb;
-        b[k] = b[k] / a[k][k];
-        t = -b[k];
-        //~ daxpy(k - 1, t, a[1][k], 1, b[1], 1);
-        for (i = 1; i < k; i = i + 1) {
-            b[i] = b[i] + (t * a[i][k]);
-        }
-    }
-}
-
-function dpofa(a, lda, n, info) {
-    var i, j, jm1, k, t, s;
-
-    for (j = 1; j <= n; j = j + 1) {
-        info[1] = j;
-        s = 0;
-        jm1 = j - 1;
-        if (jm1 < 1) {
-            s = a[j][j] - s;
-            if (s <= 0) {
-                break;
-            }
-            a[j][j] = Math.sqrt(s);
-        } else {
-            for (k = 1; k <= jm1; k = k + 1) {
-                //~ t = a[k][j] - ddot(k - 1, a[1][k], 1, a[1][j], 1);
-                t = a[k][j];
-                for (i = 1; i < k; i = i + 1) {
-                    t = t - (a[i][j] * a[i][k]);
-                }
-                t = t / a[k][k];
-                a[k][j] = t;
-                s = s + t * t;
-            }
-            s = a[j][j] - s;
-            if (s <= 0) {
-                break;
-            }
-            a[j][j] = Math.sqrt(s);
-        }
-        info[1] = 0;
-    }
-}
-
-function qpgen2(dmat, dvec, fddmat, n, sol, crval, amat,
-    bvec, fdamat, q, meq, iact, nact, iter, work, ierr) {
-
-    var i, j, l, l1, info, it1, iwzv, iwrv, iwrm, iwsv, iwuv, nvl, r, iwnbv,
-        temp, sum, t1, tt, gc, gs, nu,
-        t1inf, t2min,
-        vsmall, tmpa, tmpb,
-        go;
-
-    r = Math.min(n, q);
-    l = 2 * n + (r * (r + 5)) / 2 + 2 * q + 1;
-
-    vsmall = 1.0e-60;
-    do {
-        vsmall = vsmall + vsmall;
-        tmpa = 1 + 0.1 * vsmall;
-        tmpb = 1 + 0.2 * vsmall;
-    } while (tmpa <= 1 || tmpb <= 1);
-
-    for (i = 1; i <= n; i = i + 1) {
-        work[i] = dvec[i];
-    }
-    for (i = n + 1; i <= l; i = i + 1) {
-        work[i] = 0;
-    }
-    for (i = 1; i <= q; i = i + 1) {
-        iact[i] = 0;
-    }
-
-    info = [];
-
-    if (ierr[1] === 0) {
-        dpofa(dmat, fddmat, n, info);
-        if (info[1] !== 0) {
-            ierr[1] = 2;
-            return;
-        }
-        dposl(dmat, fddmat, n, dvec);
-        dpori(dmat, fddmat, n);
-    } else {
-        for (j = 1; j <= n; j = j + 1) {
-            sol[j] = 0;
-            for (i = 1; i <= j; i = i + 1) {
-                sol[j] = sol[j] + dmat[i][j] * dvec[i];
-            }
-        }
-        for (j = 1; j <= n; j = j + 1) {
-            dvec[j] = 0;
-            for (i = j; i <= n; i = i + 1) {
-                dvec[j] = dvec[j] + dmat[j][i] * sol[i];
-            }
-        }
-    }
-
-    crval[1] = 0;
-    for (j = 1; j <= n; j = j + 1) {
-        sol[j] = dvec[j];
-        crval[1] = crval[1] + work[j] * sol[j];
-        work[j] = 0;
-        for (i = j + 1; i <= n; i = i + 1) {
-            dmat[i][j] = 0;
-        }
-    }
-    crval[1] = -crval[1] / 2;
-    ierr[1] = 0;
-
-    iwzv = n;
-    iwrv = iwzv + n;
-    iwuv = iwrv + r;
-    iwrm = iwuv + r + 1;
-    iwsv = iwrm + (r * (r + 1)) / 2;
-    iwnbv = iwsv + q;
-
-    for (i = 1; i <= q; i = i + 1) {
-        sum = 0;
-        for (j = 1; j <= n; j = j + 1) {
-            sum = sum + amat[j][i] * amat[j][i];
-        }
-        work[iwnbv + i] = Math.sqrt(sum);
-    }
-    nact = 0;
-    iter[1] = 0;
-    iter[2] = 0;
-
-    function fn_goto_50() {
-        iter[1] = iter[1] + 1;
-
-        l = iwsv;
-        for (i = 1; i <= q; i = i + 1) {
-            l = l + 1;
-            sum = -bvec[i];
-            for (j = 1; j <= n; j = j + 1) {
-                sum = sum + amat[j][i] * sol[j];
-            }
-            if (Math.abs(sum) < vsmall) {
-                sum = 0;
-            }
-            if (i > meq) {
-                work[l] = sum;
-            } else {
-                work[l] = -Math.abs(sum);
-                if (sum > 0) {
-                    for (j = 1; j <= n; j = j + 1) {
-                        amat[j][i] = -amat[j][i];
-                    }
-                    bvec[i] = -bvec[i];
-                }
-            }
-        }
-
-        for (i = 1; i <= nact; i = i + 1) {
-            work[iwsv + iact[i]] = 0;
-        }
-
-        nvl = 0;
-        temp = 0;
-        for (i = 1; i <= q; i = i + 1) {
-            if (work[iwsv + i] < temp * work[iwnbv + i]) {
-                nvl = i;
-                temp = work[iwsv + i] / work[iwnbv + i];
-            }
-        }
-        if (nvl === 0) {
-            return 999;
-        }
-
-        return 0;
-    }
-
-    function fn_goto_55() {
-        for (i = 1; i <= n; i = i + 1) {
-            sum = 0;
-            for (j = 1; j <= n; j = j + 1) {
-                sum = sum + dmat[j][i] * amat[j][nvl];
-            }
-            work[i] = sum;
-        }
-
-        l1 = iwzv;
-        for (i = 1; i <= n; i = i + 1) {
-            work[l1 + i] = 0;
-        }
-        for (j = nact + 1; j <= n; j = j + 1) {
-            for (i = 1; i <= n; i = i + 1) {
-                work[l1 + i] = work[l1 + i] + dmat[i][j] * work[j];
-            }
-        }
-
-        t1inf = true;
-        for (i = nact; i >= 1; i = i - 1) {
-            sum = work[i];
-            l = iwrm + (i * (i + 3)) / 2;
-            l1 = l - i;
-            for (j = i + 1; j <= nact; j = j + 1) {
-                sum = sum - work[l] * work[iwrv + j];
-                l = l + j;
-            }
-            sum = sum / work[l1];
-            work[iwrv + i] = sum;
-            if (iact[i] < meq) {
-                // continue;
-                break;
-            }
-            if (sum < 0) {
-                // continue;
-                break;
-            }
-            t1inf = false;
-            it1 = i;
-        }
-
-        if (!t1inf) {
-            t1 = work[iwuv + it1] / work[iwrv + it1];
-            for (i = 1; i <= nact; i = i + 1) {
-                if (iact[i] < meq) {
-                    // continue;
-                    break;
-                }
-                if (work[iwrv + i] < 0) {
-                    // continue;
-                    break;
-                }
-                temp = work[iwuv + i] / work[iwrv + i];
-                if (temp < t1) {
-                    t1 = temp;
-                    it1 = i;
-                }
-            }
-        }
-
-        sum = 0;
-        for (i = iwzv + 1; i <= iwzv + n; i = i + 1) {
-            sum = sum + work[i] * work[i];
-        }
-        if (Math.abs(sum) <= vsmall) {
-            if (t1inf) {
-                ierr[1] = 1;
-                // GOTO 999
-                return 999;
-            } else {
-                for (i = 1; i <= nact; i = i + 1) {
-                    work[iwuv + i] = work[iwuv + i] - t1 * work[iwrv + i];
-                }
-                work[iwuv + nact + 1] = work[iwuv + nact + 1] + t1;
-                // GOTO 700
-                return 700;
-            }
-        } else {
-            sum = 0;
-            for (i = 1; i <= n; i = i + 1) {
-                sum = sum + work[iwzv + i] * amat[i][nvl];
-            }
-            tt = -work[iwsv + nvl] / sum;
-            t2min = true;
-            if (!t1inf) {
-                if (t1 < tt) {
-                    tt = t1;
-                    t2min = false;
-                }
-            }
-
-            for (i = 1; i <= n; i = i + 1) {
-                sol[i] = sol[i] + tt * work[iwzv + i];
-                if (Math.abs(sol[i]) < vsmall) {
-                    sol[i] = 0;
-                }
-            }
-
-            crval[1] = crval[1] + tt * sum * (tt / 2 + work[iwuv + nact + 1]);
-            for (i = 1; i <= nact; i = i + 1) {
-                work[iwuv + i] = work[iwuv + i] - tt * work[iwrv + i];
-            }
-            work[iwuv + nact + 1] = work[iwuv + nact + 1] + tt;
-
-            if (t2min) {
-                nact = nact + 1;
-                iact[nact] = nvl;
-
-                l = iwrm + ((nact - 1) * nact) / 2 + 1;
-                for (i = 1; i <= nact - 1; i = i + 1) {
-                    work[l] = work[i];
-                    l = l + 1;
-                }
-
-                if (nact === n) {
-                    work[l] = work[n];
-                } else {
-                    for (i = n; i >= nact + 1; i = i - 1) {
-                        if (work[i] === 0) {
-                            // continue;
-                            break;
-                        }
-                        gc = Math.max(Math.abs(work[i - 1]), Math.abs(work[i]));
-                        gs = Math.min(Math.abs(work[i - 1]), Math.abs(work[i]));
-                        if (work[i - 1] >= 0) {
-                            temp = Math.abs(gc * Math.sqrt(1 + gs * gs / (gc * gc)));
-                        } else {
-                            temp = -Math.abs(gc * Math.sqrt(1 + gs * gs / (gc * gc)));
-                        }
-                        gc = work[i - 1] / temp;
-                        gs = work[i] / temp;
-
-                        if (gc === 1) {
-                            // continue;
-                            break;
-                        }
-                        if (gc === 0) {
-                            work[i - 1] = gs * temp;
-                            for (j = 1; j <= n; j = j + 1) {
-                                temp = dmat[j][i - 1];
-                                dmat[j][i - 1] = dmat[j][i];
-                                dmat[j][i] = temp;
-                            }
-                        } else {
-                            work[i - 1] = temp;
-                            nu = gs / (1 + gc);
-                            for (j = 1; j <= n; j = j + 1) {
-                                temp = gc * dmat[j][i - 1] + gs * dmat[j][i];
-                                dmat[j][i] = nu * (dmat[j][i - 1] + temp) - dmat[j][i];
-                                dmat[j][i - 1] = temp;
-
-                            }
-                        }
-                    }
-                    work[l] = work[nact];
-                }
-            } else {
-                sum = -bvec[nvl];
-                for (j = 1; j <= n; j = j + 1) {
-                    sum = sum + sol[j] * amat[j][nvl];
-                }
-                if (nvl > meq) {
-                    work[iwsv + nvl] = sum;
-                } else {
-                    work[iwsv + nvl] = -Math.abs(sum);
-                    if (sum > 0) {
-                        for (j = 1; j <= n; j = j + 1) {
-                            amat[j][nvl] = -amat[j][nvl];
-                        }
-                        bvec[nvl] = -bvec[nvl];
-                    }
-                }
-                // GOTO 700
-                return 700;
-            }
-        }
-
-        return 0;
-    }
-
-    function fn_goto_797() {
-        l = iwrm + (it1 * (it1 + 1)) / 2 + 1;
-        l1 = l + it1;
-        if (work[l1] === 0) {
-            // GOTO 798
-            return 798;
-        }
-        gc = Math.max(Math.abs(work[l1 - 1]), Math.abs(work[l1]));
-        gs = Math.min(Math.abs(work[l1 - 1]), Math.abs(work[l1]));
-        if (work[l1 - 1] >= 0) {
-            temp = Math.abs(gc * Math.sqrt(1 + gs * gs / (gc * gc)));
-        } else {
-            temp = -Math.abs(gc * Math.sqrt(1 + gs * gs / (gc * gc)));
-        }
-        gc = work[l1 - 1] / temp;
-        gs = work[l1] / temp;
-
-        if (gc === 1) {
-            // GOTO 798
-            return 798;
-        }
-        if (gc === 0) {
-            for (i = it1 + 1; i <= nact; i = i + 1) {
-                temp = work[l1 - 1];
-                work[l1 - 1] = work[l1];
-                work[l1] = temp;
-                l1 = l1 + i;
-            }
-            for (i = 1; i <= n; i = i + 1) {
-                temp = dmat[i][it1];
-                dmat[i][it1] = dmat[i][it1 + 1];
-                dmat[i][it1 + 1] = temp;
-            }
-        } else {
-            nu = gs / (1 + gc);
-            for (i = it1 + 1; i <= nact; i = i + 1) {
-                temp = gc * work[l1 - 1] + gs * work[l1];
-                work[l1] = nu * (work[l1 - 1] + temp) - work[l1];
-                work[l1 - 1] = temp;
-                l1 = l1 + i;
-            }
-            for (i = 1; i <= n; i = i + 1) {
-                temp = gc * dmat[i][it1] + gs * dmat[i][it1 + 1];
-                dmat[i][it1 + 1] = nu * (dmat[i][it1] + temp) - dmat[i][it1 + 1];
-                dmat[i][it1] = temp;
-            }
-        }
-
-        return 0;
-    }
-
-    function fn_goto_798() {
-        l1 = l - it1;
-        for (i = 1; i <= it1; i = i + 1) {
-            work[l1] = work[l];
-            l = l + 1;
-            l1 = l1 + 1;
-        }
-
-        work[iwuv + it1] = work[iwuv + it1 + 1];
-        iact[it1] = iact[it1 + 1];
-        it1 = it1 + 1;
-        if (it1 < nact) {
-            // GOTO 797
-            return 797;
-        }
-
-        return 0;
-    }
-
-    function fn_goto_799() {
-        work[iwuv + nact] = work[iwuv + nact + 1];
-        work[iwuv + nact + 1] = 0;
-        iact[nact] = 0;
-        nact = nact - 1;
-        iter[2] = iter[2] + 1;
-
-        return 0;
-    }
-
-    go = 0;
-    while (true) {
-        go = fn_goto_50();
-        if (go === 999) {
-            return;
-        }
-        while (true) {
-            go = fn_goto_55();
-            if (go === 0) {
-                break;
-            }
-            if (go === 999) {
-                return;
-            }
-            if (go === 700) {
-                if (it1 === nact) {
-                    fn_goto_799();
-                } else {
-                    while (true) {
-                        fn_goto_797();
-                        go = fn_goto_798();
-                        if (go !== 797) {
-                            break;
-                        }
-                    }
-                    fn_goto_799();
-                }
-            }
-        }
-    }
-
-}
-
-function solveQP(Dmat, dvec, Amat, bvec, meq, factorized) {
-    Dmat = base0to1(Dmat);
-    dvec = base0to1(dvec);
-    Amat = base0to1(Amat);
-    var i, n, q,
-        nact, r,
-        crval = [], iact = [], sol = [], work = [], iter = [],
-        message;
-
-    meq = meq || 0;
-    factorized = factorized ? base0to1(factorized) : [undefined, 0];
-    bvec = bvec ? base0to1(bvec) : [];
-
-    // In Fortran the array index starts from 1
-    n = Dmat.length - 1;
-    q = Amat[1].length - 1;
-
-    if (!bvec) {
-        for (i = 1; i <= q; i = i + 1) {
-            bvec[i] = 0;
-        }
-    }
-    for (i = 1; i <= q; i = i + 1) {
-        iact[i] = 0;
-    }
-    nact = 0;
-    r = Math.min(n, q);
-    for (i = 1; i <= n; i = i + 1) {
-        sol[i] = 0;
-    }
-    crval[1] = 0;
-    for (i = 1; i <= (2 * n + (r * (r + 5)) / 2 + 2 * q + 1); i = i + 1) {
-        work[i] = 0;
-    }
-    for (i = 1; i <= 2; i = i + 1) {
-        iter[i] = 0;
-    }
-
-    qpgen2(Dmat, dvec, n, n, sol, crval, Amat,
-        bvec, n, q, meq, iact, nact, iter, work, factorized);
-
-    message = "";
-    if (factorized[1] === 1) {
-        message = "constraints are inconsistent, no solution!";
-    }
-    if (factorized[1] === 2) {
-        message = "matrix D in quadratic function is not positive definite!";
-    }
-
-    return {
-        solution: base1to0(sol),
-        value: base1to0(crval),
-        unconstrained_solution: base1to0(dvec),
-        iterations: base1to0(iter),
-        iact: base1to0(iact),
-        message: message
-    };
-}
-exports.solveQP = solveQP;
-}(numeric));
-/*
-Shanti Rao sent me this routine by private email. I had to modify it
-slightly to work on Arrays instead of using a Matrix object.
-It is apparently translated from http://stitchpanorama.sourceforge.net/Python/svd.py
-*/
-
-numeric.svd= function svd(A) {
-    var temp;
-//Compute the thin SVD from G. H. Golub and C. Reinsch, Numer. Math. 14, 403-420 (1970)
-	var prec= numeric.epsilon; //Math.pow(2,-52) // assumes double prec
-	var tolerance= 1.e-64/prec;
-	var itmax= 50;
-	var c=0;
-	var i=0;
-	var j=0;
-	var k=0;
-	var l=0;
-	
-	var u= numeric.clone(A);
-	var m= u.length;
-	
-	var n= u[0].length;
-	
-	if (m < n) throw "Need more rows than columns"
-	
-	var e = new Array(n);
-	var q = new Array(n);
-	for (i=0; i<n; i++) e[i] = q[i] = 0.0;
-	var v = numeric.rep([n,n],0);
-//	v.zero();
-	
- 	function pythag(a,b)
- 	{
-		a = Math.abs(a);
-		b = Math.abs(b);
-		if (a > b)
-			return a*Math.sqrt(1.0+(b*b/a/a))
-		else if (b == 0.0) 
-			return a
-		return b*Math.sqrt(1.0+(a*a/b/b))
-	}
-
-	//Householder's reduction to bidiagonal form
-
-	var f= 0.0;
-	var g= 0.0;
-	var h= 0.0;
-	var x= 0.0;
-	var y= 0.0;
-	var z= 0.0;
-	var s= 0.0;
-	
-	for (i=0; i < n; i++)
-	{	
-		e[i]= g;
-		s= 0.0;
-		l= i+1;
-		for (j=i; j < m; j++) 
-			s += (u[j][i]*u[j][i]);
-		if (s <= tolerance)
-			g= 0.0;
-		else
-		{	
-			f= u[i][i];
-			g= Math.sqrt(s);
-			if (f >= 0.0) g= -g;
-			h= f*g-s;
-			u[i][i]=f-g;
-			for (j=l; j < n; j++)
-			{
-				s= 0.0;
-				for (k=i; k < m; k++) 
-					s += u[k][i]*u[k][j];
-				f= s/h;
-				for (k=i; k < m; k++) 
-					u[k][j]+=f*u[k][i];
-			}
-		}
-		q[i]= g;
-		s= 0.0;
-		for (j=l; j < n; j++) 
-			s= s + u[i][j]*u[i][j];
-		if (s <= tolerance)
-			g= 0.0;
-		else
-		{	
-			f= u[i][i+1];
-			g= Math.sqrt(s);
-			if (f >= 0.0) g= -g;
-			h= f*g - s;
-			u[i][i+1] = f-g;
-			for (j=l; j < n; j++) e[j]= u[i][j]/h;
-			for (j=l; j < m; j++)
-			{	
-				s=0.0;
-				for (k=l; k < n; k++) 
-					s += (u[j][k]*u[i][k]);
-				for (k=l; k < n; k++) 
-					u[j][k]+=s*e[k];
-			}	
-		}
-		y= Math.abs(q[i])+Math.abs(e[i]);
-		if (y>x) 
-			x=y;
-	}
-	
-	// accumulation of right hand gtransformations
-	for (i=n-1; i != -1; i+= -1)
-	{	
-		if (g != 0.0)
-		{
-		 	h= g*u[i][i+1];
-			for (j=l; j < n; j++) 
-				v[j][i]=u[i][j]/h;
-			for (j=l; j < n; j++)
-			{	
-				s=0.0;
-				for (k=l; k < n; k++) 
-					s += u[i][k]*v[k][j];
-				for (k=l; k < n; k++) 
-					v[k][j]+=(s*v[k][i]);
-			}	
-		}
-		for (j=l; j < n; j++)
-		{
-			v[i][j] = 0;
-			v[j][i] = 0;
-		}
-		v[i][i] = 1;
-		g= e[i];
-		l= i;
-	}
-	
-	// accumulation of left hand transformations
-	for (i=n-1; i != -1; i+= -1)
-	{	
-		l= i+1;
-		g= q[i];
-		for (j=l; j < n; j++) 
-			u[i][j] = 0;
-		if (g != 0.0)
-		{
-			h= u[i][i]*g;
-			for (j=l; j < n; j++)
-			{
-				s=0.0;
-				for (k=l; k < m; k++) s += u[k][i]*u[k][j];
-				f= s/h;
-				for (k=i; k < m; k++) u[k][j]+=f*u[k][i];
-			}
-			for (j=i; j < m; j++) u[j][i] = u[j][i]/g;
-		}
-		else
-			for (j=i; j < m; j++) u[j][i] = 0;
-		u[i][i] += 1;
-	}
-	
-	// diagonalization of the bidiagonal form
-	prec= prec*x;
-	for (k=n-1; k != -1; k+= -1)
-	{
-		for (var iteration=0; iteration < itmax; iteration++)
-		{	// test f splitting
-			var test_convergence = false;
-			for (l=k; l != -1; l+= -1)
-			{	
-				if (Math.abs(e[l]) <= prec)
-				{	test_convergence= true;
-					break 
-				}
-				if (Math.abs(q[l-1]) <= prec)
-					break 
-			}
-			if (!test_convergence)
-			{	// cancellation of e[l] if l>0
-				c= 0.0;
-				s= 1.0;
-				var l1= l-1;
-				for (i =l; i<k+1; i++)
-				{	
-					f= s*e[i];
-					e[i]= c*e[i];
-					if (Math.abs(f) <= prec)
-						break
-					g= q[i];
-					h= pythag(f,g);
-					q[i]= h;
-					c= g/h;
-					s= -f/h;
-					for (j=0; j < m; j++)
-					{	
-						y= u[j][l1];
-						z= u[j][i];
-						u[j][l1] =  y*c+(z*s);
-						u[j][i] = -y*s+(z*c);
-					} 
-				}	
-			}
-			// test f convergence
-			z= q[k];
-			if (l== k)
-			{	//convergence
-				if (z<0.0)
-				{	//q[k] is made non-negative
-					q[k]= -z;
-					for (j=0; j < n; j++)
-						v[j][k] = -v[j][k];
-				}
-				break  //break out of iteration loop and move on to next k value
-			}
-			if (iteration >= itmax-1)
-				throw 'Error: no convergence.'
-			// shift from bottom 2x2 minor
-			x= q[l];
-			y= q[k-1];
-			g= e[k-1];
-			h= e[k];
-			f= ((y-z)*(y+z)+(g-h)*(g+h))/(2.0*h*y);
-			g= pythag(f,1.0);
-			if (f < 0.0)
-				f= ((x-z)*(x+z)+h*(y/(f-g)-h))/x;
-			else
-				f= ((x-z)*(x+z)+h*(y/(f+g)-h))/x;
-			// next QR transformation
-			c= 1.0;
-			s= 1.0;
-			for (i=l+1; i< k+1; i++)
-			{	
-				g= e[i];
-				y= q[i];
-				h= s*g;
-				g= c*g;
-				z= pythag(f,h);
-				e[i-1]= z;
-				c= f/z;
-				s= h/z;
-				f= x*c+g*s;
-				g= -x*s+g*c;
-				h= y*s;
-				y= y*c;
-				for (j=0; j < n; j++)
-				{	
-					x= v[j][i-1];
-					z= v[j][i];
-					v[j][i-1] = x*c+z*s;
-					v[j][i] = -x*s+z*c;
-				}
-				z= pythag(f,h);
-				q[i-1]= z;
-				c= f/z;
-				s= h/z;
-				f= c*g+s*y;
-				x= -s*g+c*y;
-				for (j=0; j < m; j++)
-				{
-					y= u[j][i-1];
-					z= u[j][i];
-					u[j][i-1] = y*c+z*s;
-					u[j][i] = -y*s+z*c;
-				}
-			}
-			e[l]= 0.0;
-			e[k]= f;
-			q[k]= x;
-		} 
-	}
-		
-	//vt= transpose(v)
-	//return (u,q,vt)
-	for (i=0;i<q.length; i++) 
-	  if (q[i] < prec) q[i] = 0;
-	  
-	//sort eigenvalues	
-	for (i=0; i< n; i++)
-	{	 
-	//writeln(q)
-	 for (j=i-1; j >= 0; j--)
-	 {
-	  if (q[j] < q[i])
-	  {
-	//  writeln(i,'-',j)
-	   c = q[j];
-	   q[j] = q[i];
-	   q[i] = c;
-	   for(k=0;k<u.length;k++) { temp = u[k][i]; u[k][i] = u[k][j]; u[k][j] = temp; }
-	   for(k=0;k<v.length;k++) { temp = v[k][i]; v[k][i] = v[k][j]; v[k][j] = temp; }
-//	   u.swapCols(i,j)
-//	   v.swapCols(i,j)
-	   i = j;	   
-	  }
-	 }	
-	}
-	
-	return {U:u,S:q,V:v}
-};
-});
-
-var performanceNow = createCommonjsModule(function (module) {
-// Generated by CoffeeScript 1.12.2
-(function() {
-  var getNanoSeconds, hrtime, loadTime, moduleLoadTime, nodeLoadTime, upTime;
-
-  if ((typeof performance !== "undefined" && performance !== null) && performance.now) {
-    module.exports = function() {
-      return performance.now();
-    };
-  } else if ((typeof process !== "undefined" && process !== null) && process.hrtime) {
-    module.exports = function() {
-      return (getNanoSeconds() - nodeLoadTime) / 1e6;
-    };
-    hrtime = process.hrtime;
-    getNanoSeconds = function() {
-      var hr;
-      hr = hrtime();
-      return hr[0] * 1e9 + hr[1];
-    };
-    moduleLoadTime = getNanoSeconds();
-    upTime = process.uptime() * 1e9;
-    nodeLoadTime = moduleLoadTime - upTime;
-  } else if (Date.now) {
-    module.exports = function() {
-      return Date.now() - loadTime;
-    };
-    loadTime = Date.now();
-  } else {
-    module.exports = function() {
-      return new Date().getTime() - loadTime;
-    };
-    loadTime = new Date().getTime();
-  }
-
-}).call(commonjsGlobal);
-
-
-});
-
-var root = typeof window === 'undefined' ? commonjsGlobal : window;
-var vendors = ['moz', 'webkit'];
-var suffix = 'AnimationFrame';
-var raf = root['request' + suffix];
-var caf = root['cancel' + suffix] || root['cancelRequest' + suffix];
-
-for(var i = 0; !raf && i < vendors.length; i++) {
-  raf = root[vendors[i] + 'Request' + suffix];
-  caf = root[vendors[i] + 'Cancel' + suffix]
-      || root[vendors[i] + 'CancelRequest' + suffix];
-}
-
-// Some versions of FF have rAF but not cAF
-if(!raf || !caf) {
-  var last = 0
-    , id = 0
-    , queue = []
-    , frameDuration = 1000 / 60;
-
-  raf = function(callback) {
-    if(queue.length === 0) {
-      var _now = performanceNow()
-        , next = Math.max(0, frameDuration - (_now - last));
-      last = next + _now;
-      setTimeout(function() {
-        var cp = queue.slice(0);
-        // Clear queue here to prevent
-        // callbacks from appending listeners
-        // to the current frame's queue
-        queue.length = 0;
-        for(var i = 0; i < cp.length; i++) {
-          if(!cp[i].cancelled) {
-            try{
-              cp[i].callback(last);
-            } catch(e) {
-              setTimeout(function() { throw e }, 0);
-            }
-          }
-        }
-      }, Math.round(next));
-    }
-    queue.push({
-      handle: ++id,
-      callback: callback,
-      cancelled: false
-    });
-    return id
-  };
-
-  caf = function(handle) {
-    for(var i = 0; i < queue.length; i++) {
-      if(queue[i].handle === handle) {
-        queue[i].cancelled = true;
-      }
-    }
-  };
-}
-
-var index = function(fn) {
-  // Wrap in a new function to prevent
-  // `cancel` potentially being assigned
-  // to the native rAF function
-  return raf.call(root, fn)
-};
-var cancel = function() {
-  caf.apply(root, arguments);
-};
-var polyfill = function() {
-  root.requestAnimationFrame = raf;
-  root.cancelAnimationFrame = caf;
-};
-
-index.cancel = cancel;
-index.polyfill = polyfill;
-
-var promise = createCommonjsModule(function (module) {
-(function (root) {
-
-  // Store setTimeout reference so promise-polyfill will be unaffected by
-  // other code modifying setTimeout (like sinon.useFakeTimers())
-  var setTimeoutFunc = setTimeout;
-
-  function noop() {}
-  
-  // Polyfill for Function.prototype.bind
-  function bind(fn, thisArg) {
-    return function () {
-      fn.apply(thisArg, arguments);
-    };
-  }
-
-  function Promise(fn) {
-    if (typeof this !== 'object') throw new TypeError('Promises must be constructed via new');
-    if (typeof fn !== 'function') throw new TypeError('not a function');
-    this._state = 0;
-    this._handled = false;
-    this._value = undefined;
-    this._deferreds = [];
-
-    doResolve(fn, this);
-  }
-
-  function handle(self, deferred) {
-    while (self._state === 3) {
-      self = self._value;
-    }
-    if (self._state === 0) {
-      self._deferreds.push(deferred);
-      return;
-    }
-    self._handled = true;
-    Promise._immediateFn(function () {
-      var cb = self._state === 1 ? deferred.onFulfilled : deferred.onRejected;
-      if (cb === null) {
-        (self._state === 1 ? resolve : reject)(deferred.promise, self._value);
-        return;
-      }
-      var ret;
-      try {
-        ret = cb(self._value);
-      } catch (e) {
-        reject(deferred.promise, e);
-        return;
-      }
-      resolve(deferred.promise, ret);
-    });
-  }
-
-  function resolve(self, newValue) {
-    try {
-      // Promise Resolution Procedure: https://github.com/promises-aplus/promises-spec#the-promise-resolution-procedure
-      if (newValue === self) throw new TypeError('A promise cannot be resolved with itself.');
-      if (newValue && (typeof newValue === 'object' || typeof newValue === 'function')) {
-        var then = newValue.then;
-        if (newValue instanceof Promise) {
-          self._state = 3;
-          self._value = newValue;
-          finale(self);
-          return;
-        } else if (typeof then === 'function') {
-          doResolve(bind(then, newValue), self);
-          return;
-        }
-      }
-      self._state = 1;
-      self._value = newValue;
-      finale(self);
-    } catch (e) {
-      reject(self, e);
-    }
-  }
-
-  function reject(self, newValue) {
-    self._state = 2;
-    self._value = newValue;
-    finale(self);
-  }
-
-  function finale(self) {
-    if (self._state === 2 && self._deferreds.length === 0) {
-      Promise._immediateFn(function() {
-        if (!self._handled) {
-          Promise._unhandledRejectionFn(self._value);
-        }
-      });
-    }
-
-    for (var i = 0, len = self._deferreds.length; i < len; i++) {
-      handle(self, self._deferreds[i]);
-    }
-    self._deferreds = null;
-  }
-
-  function Handler(onFulfilled, onRejected, promise) {
-    this.onFulfilled = typeof onFulfilled === 'function' ? onFulfilled : null;
-    this.onRejected = typeof onRejected === 'function' ? onRejected : null;
-    this.promise = promise;
-  }
-
-  /**
-   * Take a potentially misbehaving resolver function and make sure
-   * onFulfilled and onRejected are only called once.
-   *
-   * Makes no guarantees about asynchrony.
-   */
-  function doResolve(fn, self) {
-    var done = false;
-    try {
-      fn(function (value) {
-        if (done) return;
-        done = true;
-        resolve(self, value);
-      }, function (reason) {
-        if (done) return;
-        done = true;
-        reject(self, reason);
-      });
-    } catch (ex) {
-      if (done) return;
-      done = true;
-      reject(self, ex);
-    }
-  }
-
-  Promise.prototype['catch'] = function (onRejected) {
-    return this.then(null, onRejected);
-  };
-
-  Promise.prototype.then = function (onFulfilled, onRejected) {
-    var prom = new (this.constructor)(noop);
-
-    handle(this, new Handler(onFulfilled, onRejected, prom));
-    return prom;
-  };
-
-  Promise.all = function (arr) {
-    var args = Array.prototype.slice.call(arr);
-
-    return new Promise(function (resolve, reject) {
-      if (args.length === 0) return resolve([]);
-      var remaining = args.length;
-
-      function res(i, val) {
-        try {
-          if (val && (typeof val === 'object' || typeof val === 'function')) {
-            var then = val.then;
-            if (typeof then === 'function') {
-              then.call(val, function (val) {
-                res(i, val);
-              }, reject);
-              return;
-            }
-          }
-          args[i] = val;
-          if (--remaining === 0) {
-            resolve(args);
-          }
-        } catch (ex) {
-          reject(ex);
-        }
-      }
-
-      for (var i = 0; i < args.length; i++) {
-        res(i, args[i]);
-      }
-    });
-  };
-
-  Promise.resolve = function (value) {
-    if (value && typeof value === 'object' && value.constructor === Promise) {
-      return value;
-    }
-
-    return new Promise(function (resolve) {
-      resolve(value);
-    });
-  };
-
-  Promise.reject = function (value) {
-    return new Promise(function (resolve, reject) {
-      reject(value);
-    });
-  };
-
-  Promise.race = function (values) {
-    return new Promise(function (resolve, reject) {
-      for (var i = 0, len = values.length; i < len; i++) {
-        values[i].then(resolve, reject);
-      }
-    });
-  };
-
-  // Use polyfill for setImmediate for performance gains
-  Promise._immediateFn = (typeof setImmediate === 'function' && function (fn) { setImmediate(fn); }) ||
-    function (fn) {
-      setTimeoutFunc(fn, 0);
-    };
-
-  Promise._unhandledRejectionFn = function _unhandledRejectionFn(err) {
-    if (typeof console !== 'undefined' && console) {
-      console.warn('Possible Unhandled Promise Rejection:', err); // eslint-disable-line no-console
-    }
-  };
-
-  /**
-   * Set the immediate function to execute callbacks
-   * @param fn {function} Function to execute
-   * @deprecated
-   */
-  Promise._setImmediateFn = function _setImmediateFn(fn) {
-    Promise._immediateFn = fn;
-  };
-
-  /**
-   * Change the function to execute on unhandled rejection
-   * @param {function} fn Function to execute on unhandled rejection
-   * @deprecated
-   */
-  Promise._setUnhandledRejectionFn = function _setUnhandledRejectionFn(fn) {
-    Promise._unhandledRejectionFn = fn;
-  };
-  
-  if ('object' !== 'undefined' && module.exports) {
-    module.exports = Promise;
-  } else if (!root.Promise) {
-    root.Promise = Promise;
-  }
-
-})(commonjsGlobal);
-});
-
-// IE polyfill from MDN
-(function () {
-	if (typeof window.CustomEvent === 'function') return false;
-
-	function CustomEvent (event, params) {
-		params = params || {bubbles : false, cancelable : false, detail: undefined};
-		var evt = document.createEvent('CustomEvent');
-		evt.initCustomEvent(event, params.bubbles, params.cancelable, params.detail);
-		return evt;
-	}
-
-	CustomEvent.prototype = window.Event.prototype;
-
-	window.CustomEvent = CustomEvent;
-})();
-
-function emitEvent(eventName) {
-	var evt = new CustomEvent(eventName, {'bubbles': true, 'cancelable': true});
-	document.dispatchEvent(evt);
-}
-
-/**
- * Fast Fourier Transform
- * 1D-FFT/IFFT, 2D-FFT/IFFT (radix-2)
- * 
- * @author ryo / github.com/wellflat
- * Based on https://github.com/wellflat/jslib with some tiny optimizations
- */
-
-function FFT() {
-  
-  var _n = 0,          // order
-      _bitrev = null,  // bit reversal table
-      _cstb = null;    // sin/cos table
-  var _tre, _tim;
-  
-  this.init = function (n) {
-    if(n !== 0 && (n & (n - 1)) === 0) {
-      _n = n;
-      _setVariables();
-      _makeBitReversal();
-      _makeCosSinTable();
-    } else {
-      throw new Error("init: radix-2 required");
-    }
-  };
-    
-  // 1D-FFT
-  this.fft1d = function (re, im) {
-    fft(re, im, 1);
-  };
-    
-  // 1D-IFFT
-  this.ifft1d = function (re, im) {
-    var n = 1/_n;
-    fft(re, im, -1);
-    for(var i=0; i<_n; i++) {
-      re[i] *= n;
-      im[i] *= n;
-    }
-  };
-  
-  // 2D-FFT
-  this.fft2d = function (re, im) {
-    var i = 0;
-    // x-axis
-    for(var y=0; y<_n; y++) {
-      i = y*_n;
-      for(var x1=0; x1<_n; x1++) {
-        _tre[x1] = re[x1 + i];
-        _tim[x1] = im[x1 + i];
-      }
-      this.fft1d(_tre, _tim);
-      for(var x2=0; x2<_n; x2++) {
-        re[x2 + i] = _tre[x2];
-        im[x2 + i] = _tim[x2];
-      }
-    }
-    // y-axis
-    for(var x=0; x<_n; x++) {
-      for(var y1=0; y1<_n; y1++) {
-        i = x + y1*_n;
-        _tre[y1] = re[i];
-        _tim[y1] = im[i];
-      }
-      this.fft1d(_tre, _tim);
-      for(var y2=0; y2<_n; y2++) {
-        i = x + y2*_n;
-        re[i] = _tre[y2];
-        im[i] = _tim[y2];
-      }
-    }
-  };
-  
-  // 2D-IFFT
-  this.ifft2d = function (re, im) {
-    var i = 0;
-    // x-axis
-    for(var y=0; y<_n; y++) {
-      i = y*_n;
-      for(var x1=0; x1<_n; x1++) {
-        _tre[x1] = re[x1 + i];
-        _tim[x1] = im[x1 + i];
-      }
-      this.ifft1d(_tre, _tim);
-      for(var x2=0; x2<_n; x2++) {
-        re[x2 + i] = _tre[x2];
-        im[x2 + i] = _tim[x2];
-      }
-    }
-    // y-axis
-    for(var x=0; x<_n; x++) {
-      for(var y1=0; y1<_n; y1++) {
-        i = x + y1*_n;
-        _tre[y1] = re[i];
-        _tim[y1] = im[i];
-      }
-      this.ifft1d(_tre, _tim);
-      for(var y2=0; y2<_n; y2++) {
-        i = x + y2*_n;
-        re[i] = _tre[y2];
-        im[i] = _tim[y2];
-      }
-    }
-  };
-  
-  // core operation of FFT
-  function fft(re, im, inv) {
-    var d, h, ik, m, tmp, wr, wi, xr, xi,
-        n4 = _n >> 2;
-    // bit reversal
-    for(var l=0; l<_n; l++) {
-      m = _bitrev[l];
-      if(l < m) {
-        tmp = re[l];
-        re[l] = re[m];
-        re[m] = tmp;
-        tmp = im[l];
-        im[l] = im[m];
-        im[m] = tmp;
-      }
-    }
-    // butterfly operation
-    for(var k=1; k<_n; k<<=1) {
-      h = 0;
-      d = _n/(k << 1);
-      for(var j=0; j<k; j++) {
-        wr = _cstb[h + n4];
-        wi = inv*_cstb[h];
-        for(var i=j; i<_n; i+=(k<<1)) {
-          ik = i + k;
-          xr = wr*re[ik] + wi*im[ik];
-          xi = wr*im[ik] - wi*re[ik];
-          re[ik] = re[i] - xr;
-          re[i] += xr;
-          im[ik] = im[i] - xi;
-          im[i] += xi;
-        }
-        h += d;
-      }
-    }
-  }
-  
-  // set variables
-  function _setVariables() {
-    if(typeof Uint8Array !== 'undefined') {
-      _bitrev = new Uint8Array(_n);
-    } else {
-      _bitrev = new Array(_n);
-    }
-    if(typeof Float64Array !== 'undefined') {
-      _cstb = new Float64Array(_n*1.25);
-      _tre = new Float64Array(_n*_n);
-      _tim = new Float64Array(_n*_n);
-    } else {
-      _cstb = new Array(_n*1.25);
-      _tre = new Array(_n*_n);
-      _tim = new Array(_n*_n);
-    }
-  }
-  
-  // make bit reversal table
-  function _makeBitReversal() {
-    var i = 0,
-        j = 0,
-        k = 0;
-    _bitrev[0] = 0;
-    while(++i < _n) {
-      k = _n >> 1;
-      while(k <= j) {
-        j -= k;
-        k >>= 1;
-      }
-      j += k;
-      _bitrev[i] = j;
-    }
-  }
-  
-  // make trigonometric function table
-  function _makeCosSinTable() {
-    var n2 = _n >> 1,
-        n4 = _n >> 2,
-        n8 = _n >> 3,
-        n2p4 = n2 + n4,
-        t = Math.sin(Math.PI/_n),
-        dc = 2*t*t,
-        ds = Math.sqrt(dc*(2 - dc)),
-        c = _cstb[n4] = 1,
-        s = _cstb[0] = 0;
-    t = 2*dc;
-    for(var i=1; i<n8; i++) {
-      c -= dc;
-      dc += t*c;
-      s += ds;
-      ds -= t*s;
-      _cstb[i] = s;
-      _cstb[n4 - i] = c;
-    }
-    if(n8 !== 0) {
-      _cstb[n8] = Math.sqrt(0.5);
-    }
-    for(var j=0; j<n4; j++) {
-      _cstb[n2 - j]  = _cstb[j];
-    }
-    for(var k=0; k<n2p4; k++) {
-      _cstb[k + n2] = -_cstb[k];
-    }
-  }
-}
-
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-
-/*
- * MOSSE correlation filter
- *
- * Optional parameters to constructor:
- *   drawResponse {canvasElement} : draws the correlation filter output on the given canvas element (default is none)
- *   psrThreshold {number} : peak-to-sidelobe-ratio threshold to use when updating filter while tracking (default is 10)
- *   eta {number} : adjusts how much new input affects the mosse filter, when updating filter while tracking
- *     number should be between 0 and 1 (default is 0.1)
- *   convertToGrayscale {boolean} : whether to convert canvas output to grayscale (default is true)
- *     if this is set to false, we assume all channels are equal and only grab values from red channel
- *
- * @author auduno / github.com/auduno
- */
-
-function mosseFilter(params) {
-    
-    var _filter, _top, _bottom;
-    var _fft;
-    var _w,_h;
-    var _im_part;
-    var _arrlen;
-    var _cc;
-    var _image_array;
-    
-    this.psr_prev = undefined;
-    this.peak_prev = undefined;
-    var updateable = false;
-    
-    if (!params) params = {};
-    // setup of canvas for drawing responses, if given
-    if (params.drawResponse === undefined) {
-        params.drawResponse = false;
-    } else {
-        if (params.drawResponse.tagName != 'CANVAS') {
-            params.drawResponse = false;
-        } else {
-            var responseContext = params.drawResponse.getContext('2d');
-        }
-    }
-    if (params.psrThreshold === undefined) params.psrThreshold = 10;
-    if (params.eta === undefined) params.eta = 0.10;
-    if (params.convertToGrayscale === undefined) params.convertToGrayscale = true;
-    
-    this.load = function(filter) {
-        // initialize filter width and height
-        _w = filter.width;
-        _h = filter.height;
-        _arrlen = _w*_h;
-        _filter = [filter.real, filter.imag];
-        // handling top and bottom when they're not present
-        if (filter.top && filter.bottom) {
-          updateable = true;
-          _top = [filter.top.real, filter.top.imag];
-          _bottom = [filter.bottom.real, filter.bottom.imag];
-        }
-        
-        // initialize fft to given width
-        _fft = new FFT();
-        _fft.init(filter.width);
-        
-        // set up temporary variables
-        if(typeof Float64Array !== 'undefined') {
-            _im_part = new Float64Array(_arrlen);
-            _image_array = new Float64Array(_arrlen);
-        } else {
-            _im_part = new Array(_arrlen);
-            _image_array = new Array(_arrlen);
-        }
-        var canvas = document.createElement("canvas");
-        canvas.setAttribute('width', _w);
-        canvas.setAttribute('height', _h);
-        _cc = canvas.getContext('2d');
-    };
-    
-    this.init = function(w,h) {
-        // initialize filter width and height for a blank filter
-        _w = w;
-        _h = h;
-        _arrlen = _w*_h;
-        
-        _filter = [[],[]];
-        _top = [[],[]];
-        _bottom = [[],[]];
-        for (var i = 0;i < _arrlen;i++) {
-            _filter[0][i] = 0;
-            _filter[1][i] = 0;
-            _top[0][i] = 0;
-            _top[1][i] = 0;
-            _bottom[0][i] = 0;
-            _bottom[1][i] = 0;
-        }
-        updateable = true;
-        
-        // initialize fft to given width
-        _fft = new FFT();
-        _fft.init(w);
-        
-        // set up temporary variables
-        if(typeof Float64Array !== 'undefined') {
-            _im_part = new Float64Array(_arrlen);
-        } else {
-            _im_part = new Array(_arrlen);
-        }
-        var canvas = document.createElement("canvas");
-        canvas.setAttribute('width', _w);
-        canvas.setAttribute('height', _h);
-        _cc = canvas.getContext('2d');
-    };
-    
-    // fft function
-    this.fft = function(array) {
-        // not in-place
-        
-        var cn = new Array(_arrlen);
-        for (var i = 0;i < _arrlen;i++) {
-          cn[i] = 0.0;
-        }
-        
-        _fft.fft2d(array,cn);
-        return [array, cn];
-    };
-    
-    // fft function
-    this.fft_inplace = function(array) {
-        // in-place
-        
-        for (var i = 0;i < _arrlen;i++) {
-          _im_part[i] = 0.0;
-        }
-        
-        _fft.fft2d(array,_im_part);
-        return [array, _im_part];
-    };
-    
-    this.ifft = function(rn, cn) {
-        // in-place
-        _fft.ifft2d(rn, cn);
-        return rn;
-    };
-
-    // peak to sidelobe ratio function (optional)
-    this.psr = function(array) {
-        // proper
-        var sum = 0;
-        var max = 0;
-        var maxpos = [0, 0];
-        var sdo = 0;
-        var val;
-        for (var x = 0;x < _w;x++) {
-            for (var y = 0;y < _h;y++) {
-                val = array[(y*_w)+x];
-                sum += val;
-                sdo += (val*val);
-                if (max < val) {
-                    max = val;
-                    maxpos = [x,y];
-                }
-            }
-        }
-        
-        // subtract values around peak
-        for (var x = -5;x < 6;x++) {
-            for (var y = -5;y < 6;y++) {
-                if (Math.sqrt(x*x+y*y) < 5) {
-                    val = array[((maxpos[1]+y)*_w)+(maxpos[0]+x)];
-                    sdo -= (val*val);
-                    sum -= val;
-                }
-            }
-        }
-        
-        var mean = sum/array.length;
-        var sd = Math.sqrt((sdo/array.length)-(mean*mean));
-        
-        // get mean/variance of output around peak
-        var psr = (max-mean)/sd;
-        return psr;
-    };
-    
-    this.getResponse = function(imageData) {
-        // in-place
-        
-        // preprocess
-        var prepImage = preprocess(imageData);
-        prepImage = cosine_window(prepImage);
-        
-        // filter
-        var res = this.fft_inplace(prepImage);
-        
-        // elementwise multiplication with filter
-        complex_mult_inplace(res, _filter);
-        
-        // do inverse 2d fft
-        var filtered = this.ifft(res[0],res[1]);
-        return filtered;
-    };
-    
-    this.track = function(input, left, top, width, height, updateFilter, gaussianPrior, calcPSR) {
-        // finds position of filter in input image
-        
-        if (!_filter) {
-            console.log("Mosse-filter needs to be initialized or trained before starting tracking.");
-            return false;
-        }
-        
-        if (input.tagName == "VIDEO" || input.tagName == "IMG") {
-            // scale selection according to original source image
-            var videoLeft = Math.round((left/input.width)*input.videoWidth);
-            var videoTop = Math.round((top/input.height)*input.videoHeight);
-            var videoWidth = Math.round((width/input.width)*input.videoWidth);
-            var videoHeight = Math.round((height/input.height)*input.videoHeight);
-            _cc.drawImage(input, videoLeft, videoTop, videoWidth, videoHeight, 0, 0, _w, _h);
-        } else if (input.tagName == "CANVAS") {
-            _cc.drawImage(input, left, top, width, height, 0, 0, _w, _h);
-        }
-        
-        var image = _cc.getImageData(0,0,_w,_h);
-        var id = image.data;
-        
-        if (params.convertToGrayscale) {
-            // convert to grayscale
-            for (var i = 0;i < _arrlen;i++) {
-                _image_array[i] = id[(4*i)]*0.3;
-                _image_array[i] += id[(4*i)+1]*0.59;
-                _image_array[i] += id[(4*i)+2]*0.11;
-            } 
-        } else {
-            // use only one channel
-            for (var i = 0;i < _arrlen;i++) {
-                _image_array[i] = id[(4*i)];
-            } 
-        }
-        
-        // preprocess
-        var prepImage = preprocess(_image_array);
-        prepImage = cosine_window(prepImage);
-        
-        // filter
-        var res = this.fft_inplace(prepImage);
-        // elementwise multiplication with filter
-        var nures = complex_mult(res, _filter);
-        // do inverse 2d fft
-        var filtered = this.ifft(nures[0],nures[1]);
-        
-        // find max and min
-        var max = 0;
-        var min = 0;
-        var maxpos = [0, 0];
-        
-        //method using centered gaussian prior
-        if (gaussianPrior) {
-            var prior, dx, dy;
-            var variance = 128;
-            for (var x = 0;x < _w;x++) {
-                for (var y = 0;y < _h;y++) {
-                    dx = x - _w/2;
-                    dy = y - _h/2;
-                    prior = Math.exp(-0.5*((dx*dx)+(dy*dy))/variance);
-                    if ((filtered[(y*_w)+x]*prior) > max) {
-                        max = filtered[(y*_w)+x]*prior;
-                        maxpos = [x,y];
-                    }
-                    if (filtered[(y*_w)+x] < min) {
-                        min = filtered[(y*_w)+x];
-                    }
-                }
-            }
-        } else {
-            for (var x = 0;x < _w;x++) {
-                for (var y = 0;y < _h;y++) {
-                    if (filtered[(y*_w)+x] > max) {
-                        max = filtered[(y*_w)+x];
-                        maxpos = [x,y];
-                    }
-                    if (filtered[(y*_w)+x] < min) {
-                        min = filtered[(y*_w)+x];
-                    }
-                }
-            }
-        }
-        this.peak_prev = max;
-        
-        if (params.drawResponse) {
-            // draw response
-            var diff = max-min;
-            var dc = document.createElement('canvas');
-            dc.setAttribute('width', 32);
-            dc.setAttribute('height', 32);
-            var dcc = dc.getContext('2d');
-            var psci = dcc.createImageData(32, 32);
-            var pscidata = psci.data;
-            for (var j = 0;j < 32*32;j++) {
-                //draw with priors
-                //var val = filtered[j]*Math.exp(-0.5*(((j%_w - _w/2)*(j%_w -_w/2))+((Math.floor(j/_h)-(_h/2))*(Math.floor(j/_h)-(_h/2))))/128);
-                var val = filtered[j];
-                val = Math.round((val+Math.abs(min))*(255/diff));
-                pscidata[j*4] = val;
-                pscidata[(j*4)+1] = val;
-                pscidata[(j*4)+2] = val;
-                pscidata[(j*4)+3] = 255;
-            }
-            dcc.putImageData(psci, 0, 0);
-            responseContext.drawImage(dc, left, top, width, width);
-        }
-        
-        if (calcPSR) {
-          this.psr_prev = this.psr(filtered);
-        }
-        
-        if (updateFilter) {
-            if (!updateable) {
-                console.log("The loaded filter does not support updating. Ignoring parameter 'updateFilter'.");
-            } else {
-                if (calcPSR) {
-                  var psr = this.psr_prev;
-                } else {
-                  var psr = this.psr(filtered);
-                }
-                
-                if (psr > params.psrThreshold) {
-                    // create target
-                    var target = [];
-                    var nux = maxpos[0];
-                    var nuy = maxpos[1];
-                    for (var x = 0;x < _w;x++) {
-                        for (var y = 0;y < _h;y++) {
-                            target[(y*_w)+x] = Math.exp(-(((x-nux)*(x-nux))+((y-nuy)*(y-nuy)))/(2*2));
-                        }
-                    }
-                    
-                    //fft target
-                    target = this.fft(target);
-                    
-                    // create filter
-                    var res_conj = complex_conj(res);
-                    var fuTop = complex_mult(target,res_conj);
-                    var fuBottom = complex_mult(res,res_conj);
-                    
-                    // add up
-                    var eta = params.eta;
-                    for (var i = 0;i < _arrlen;i++) {
-                        _top[0][i] = eta*fuTop[0][i] + (1-eta)*_top[0][i];
-                        _top[1][i] = eta*fuTop[1][i] + (1-eta)*_top[1][i];
-                        _bottom[0][i] = eta*fuBottom[0][i] + (1-eta)*_bottom[0][i];
-                        _bottom[1][i] = eta*fuBottom[1][i] + (1-eta)*_bottom[1][i];
-                    }
-                    
-                    _filter = complex_div(_top,_bottom);
-                }
-            }
-        }
-        
-        /*if (psr < 5) {
-          maxpos = [_w/2,_h/2]; 
-        }*/
-        
-        maxpos[0] = maxpos[0]*(width/_w);
-        maxpos[1] = maxpos[1]*(width/_h);
-        
-        // check if output is strong enough
-        // if not, return false?
-        if (max < 0) {
-          return false;
-        } else {
-          return maxpos;
-        }
-    };
-    
-    this.train = function(input, left, top, width, height) {
-        
-        if (!updateable) {
-          console.log("The loaded filter does not support updating. Unable to do training.");
-          return false;
-        }
-        
-        if (input.tagName == "VIDEO" || input.tagName == "IMG") {
-            // scale selection according to original source image
-            var videoLeft = Math.round((left/input.width)*input.videoWidth);
-            var videoTop = Math.round((top/input.height)*input.videoHeight);
-            var videoWidth = Math.round((width/input.width)*input.videoWidth);
-            var videoHeight = Math.round((height/input.height)*input.videoHeight);
-            _cc.drawImage(input, videoLeft, videoTop, videoWidth, videoHeight, 0, 0, _w, _h);
-        } else if (input.tagName == "CANVAS") {
-            _cc.drawImage(input, left, top, width, height, 0, 0, _w, _h);
-        }
-        
-        var image = _cc.getImageData(0,0,_w,_h);
-        var id = image.data;
-         
-        // convert to grayscale
-        for (var i = 0;i < _arrlen;i++) {
-            _image_array[i] = id[(4*i)]*0.3;
-            _image_array[i] += id[(4*i)+1]*0.59;
-            _image_array[i] += id[(4*i)+2]*0.11;
-        }
-        
-        // preprocess
-        var prepImage = preprocess(_image_array);
-        prepImage = cosine_window(prepImage);
-        
-        // create target
-        var target = [];
-        var nux = _w/2;
-        var nuy = _h/2;
-        for (var x = 0;x < _w;x++) {
-            for (var y = 0;y < _h;y++) {
-                target[(y*_w)+x] = Math.exp(-(((x-nux)*(x-nux))+((y-nuy)*(y-nuy)))/(2*2));
-            }
-        }
-        
-        //fft target
-        target = this.fft(target);
-        
-        // filter
-        var res = this.fft(prepImage);
-        // create filter
-        var res_conj = complex_conj(res);
-        var fuTop = complex_mult(target,res_conj);
-        var fuBottom = complex_mult(res,res_conj);
-        
-        // add up
-        var eta = params.eta;
-        for (var i = 0;i < _arrlen;i++) {
-            _top[0][i] = eta*fuTop[0][i] + (1-eta)*_top[0][i];
-            _top[1][i] = eta*fuTop[1][i] + (1-eta)*_top[1][i];
-            _bottom[0][i] = eta*fuBottom[0][i] + (1-eta)*_bottom[0][i];
-            _bottom[1][i] = eta*fuBottom[1][i] + (1-eta)*_bottom[1][i];
-        }
-        
-        _filter = complex_div(_top,_bottom);
-        
-        return true;
-    };
-    
-    var preprocess = function(array) {
-        // in-place
-        
-        // log adjusting
-        for (var i = 0;i < _arrlen;i++) {
-          array[i] = Math.log(array[i]+1);
-        }
-        
-        // normalize to mean 0 and norm 1
-        var mean = 0;
-        for (var i = 0;i < _arrlen;i++) {
-          mean += array[i];
-        }
-        mean /= _arrlen;
-        
-        for (var i = 0;i < _arrlen;i++) {
-          array[i] -= mean;
-        }
-        var norm = 0.0;
-        for (var i = 0;i < _arrlen;i++) {
-          norm += (array[i]*array[i]);
-        }
-        norm = Math.sqrt(norm);
-        if (norm !== 0) {
-            for (var i = 0;i < _arrlen;i++) {
-              array[i] /= norm;
-            }
-        }
-        
-        return array;
-    };
-    
-    var cosine_window = function(array) {
-        // calculate rect cosine window (in-place)
-        var pos = 0;
-        for (var i = 0;i < _w;i++) {
-            for (var j = 0;j < _h;j++) {
-                //pos = (i%_w)+(j*_w);
-                var cww = Math.sin((Math.PI*i)/(_w-1));
-                var cwh = Math.sin((Math.PI*j)/(_h-1));
-                array[pos] = Math.min(cww,cwh)*array[pos];
-                pos++;
-            }
-        }
-        
-        return array;
-    };
-    
-    var complex_mult = function(cn1, cn2) {
-        // not in-place
-        var re_part = new Array(_w);
-        var im_part = new Array(_w);
-        var nucn = [re_part, im_part];
-        for (var r = 0;r < _arrlen;r++) {
-            nucn[0][r] = (cn1[0][r]*cn2[0][r]) - (cn1[1][r]*cn2[1][r]);
-            nucn[1][r] = (cn1[0][r]*cn2[1][r]) + (cn1[1][r]*cn2[0][r]);
-        }
-        return nucn;
-    };
-    
-    var complex_mult_inplace = function(cn1, cn2) {
-        // in-place
-        var temp1, temp2;
-        for (var r = 0;r < _arrlen;r++) {
-            temp1 = (cn1[0][r]*cn2[0][r]) - (cn1[1][r]*cn2[1][r]);
-            temp2 = (cn1[0][r]*cn2[1][r]) + (cn1[1][r]*cn2[0][r]);
-            cn1[0][r] = temp1;
-            cn1[1][r] = temp2;
-        }
-    };
-    
-    var complex_conj = function(cn) {
-        // not in-place (TODO)
-        var nucn = [[],[]];
-        for (var i = 0;i < _arrlen;i++) {
-            nucn[0][i] = cn[0][i];
-            nucn[1][i] = -cn[1][i];
-        }
-        return nucn;
-    };
-    
-    var complex_div = function(cn1, cn2) {
-        // not in-place (TODO)
-        var nucn = [[],[]];
-        for (var r = 0;r < _arrlen;r++) {
-            nucn[0][r] = ((cn1[0][r]*cn2[0][r])+(cn1[1][r]*cn2[1][r])) / ((cn2[0][r]*cn2[0][r]) + (cn2[1][r]*cn2[1][r]));
-            nucn[1][r] = ((cn1[1][r]*cn2[0][r])-(cn1[0][r]*cn2[1][r])) / ((cn2[0][r]*cn2[0][r]) + (cn2[1][r]*cn2[1][r]));
-        }
-        return nucn;
-    };
-}
-
-var mosse = {
-    mosseFilter : mosseFilter,
-    filters : {
-        left_eye_filter : left_eye_filter,
-        right_eye_filter : right_eye_filter,
-        mouth_filter : mouth_filter,
-        nose_filter : nose_filter,
-        face_filter : face_filter
-    }
-};
-
-var jsfeat_1 = createCommonjsModule(function (module) {
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- */
-
-// namespace ?
-var jsfeat = jsfeat || { REVISION: 'ALPHA' };
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- */
-
-(function(global) {
-    "use strict";
-    //
-
-    // CONSTANTS
-    var EPSILON = 0.0000001192092896;
-    var FLT_MIN = 1E-37;
-
-    // implementation from CCV project
-    // currently working only with u8,s32,f32
-    var U8_t = 0x0100,
-        S32_t = 0x0200,
-        F32_t = 0x0400,
-        S64_t = 0x0800,
-        F64_t = 0x1000;
-
-    var C1_t = 0x01,
-        C2_t = 0x02,
-        C3_t = 0x03,
-        C4_t = 0x04;
-
-    var _data_type_size = new Int32Array([ -1, 1, 4, -1, 4, -1, -1, -1, 8, -1, -1, -1, -1, -1, -1, -1, 8 ]);
-
-    var get_data_type = (function () {
-        return function(type) {
-            return (type & 0xFF00);
-        }
-    })();
-
-    var get_channel = (function () {
-        return function(type) {
-            return (type & 0xFF);
-        }
-    })();
-
-    var get_data_type_size = (function () {
-        return function(type) {
-            return _data_type_size[(type & 0xFF00) >> 8];
-        }
-    })();
-
-    // color conversion
-    var COLOR_RGBA2GRAY = 0;
-    var COLOR_RGB2GRAY = 1;
-    var COLOR_BGRA2GRAY = 2;
-    var COLOR_BGR2GRAY = 3;
-
-    // box blur option
-    var BOX_BLUR_NOSCALE = 0x01;
-    // svd options
-    var SVD_U_T = 0x01;
-    var SVD_V_T = 0x02;
-
-    var data_t = (function () {
-        function data_t(size_in_bytes, buffer) {
-            // we need align size to multiple of 8
-            this.size = ((size_in_bytes + 7) | 0) & -8;
-            if (typeof buffer === "undefined") { 
-                this.buffer = new ArrayBuffer(this.size);
-            } else {
-                this.buffer = buffer;
-                this.size = buffer.length;
-            }
-            this.u8 = new Uint8Array(this.buffer);
-            this.i32 = new Int32Array(this.buffer);
-            this.f32 = new Float32Array(this.buffer);
-            this.f64 = new Float64Array(this.buffer);
-        }
-        return data_t;
-    })();
-
-    var matrix_t = (function () {
-        // columns, rows, data_type
-        function matrix_t(c, r, data_type, data_buffer) {
-            this.type = get_data_type(data_type)|0;
-            this.channel = get_channel(data_type)|0;
-            this.cols = c|0;
-            this.rows = r|0;
-            if (typeof data_buffer === "undefined") { 
-                this.allocate();
-            } else {
-                this.buffer = data_buffer;
-                // data user asked for
-                this.data = this.type&U8_t ? this.buffer.u8 : (this.type&S32_t ? this.buffer.i32 : (this.type&F32_t ? this.buffer.f32 : this.buffer.f64));
-            }
-        }
-        matrix_t.prototype.allocate = function() {
-            // clear references
-            delete this.data;
-            delete this.buffer;
-            //
-            this.buffer = new data_t((this.cols * get_data_type_size(this.type) * this.channel) * this.rows);
-            this.data = this.type&U8_t ? this.buffer.u8 : (this.type&S32_t ? this.buffer.i32 : (this.type&F32_t ? this.buffer.f32 : this.buffer.f64));
-        };
-        matrix_t.prototype.copy_to = function(other) {
-            var od = other.data, td = this.data;
-            var i = 0, n = (this.cols*this.rows*this.channel)|0;
-            for(; i < n-4; i+=4) {
-                od[i] = td[i];
-                od[i+1] = td[i+1];
-                od[i+2] = td[i+2];
-                od[i+3] = td[i+3];
-            }
-            for(; i < n; ++i) {
-                od[i] = td[i];
-            }
-        };
-        matrix_t.prototype.resize = function(c, r, ch) {
-            if (typeof ch === "undefined") { ch = this.channel; }
-            // relocate buffer only if new size doesnt fit
-            var new_size = (c * get_data_type_size(this.type) * ch) * r;
-            if(new_size > this.buffer.size) {
-                this.cols = c;
-                this.rows = r;
-                this.channel = ch;
-                this.allocate();
-            } else {
-                this.cols = c;
-                this.rows = r;
-                this.channel = ch;
-            }
-        };
-
-        return matrix_t;
-    })();
-
-    var pyramid_t = (function () {
-
-        function pyramid_t(levels) {
-            this.levels = levels|0;
-            this.data = new Array(levels);
-            this.pyrdown = jsfeat.imgproc.pyrdown;
-        }
-
-        pyramid_t.prototype.allocate = function(start_w, start_h, data_type) {
-            var i = this.levels;
-            while(--i >= 0) {
-                this.data[i] = new matrix_t(start_w >> i, start_h >> i, data_type);
-            }
-        };
-
-        pyramid_t.prototype.build = function(input, skip_first_level) {
-            if (typeof skip_first_level === "undefined") { skip_first_level = true; }
-            // just copy data to first level
-            var i = 2, a = input, b = this.data[0];
-            if(!skip_first_level) {
-                var j=input.cols*input.rows;
-                while(--j >= 0) {
-                    b.data[j] = input.data[j];
-                }
-            }
-            b = this.data[1];
-            this.pyrdown(a, b);
-            for(; i < this.levels; ++i) {
-                a = b;
-                b = this.data[i];
-                this.pyrdown(a, b);
-            }
-        };
-
-        return pyramid_t;
-    })();
-
-    var keypoint_t = (function () {
-        function keypoint_t(x,y,score,level,angle) {
-            if (typeof x === "undefined") { x=0; }
-            if (typeof y === "undefined") { y=0; }
-            if (typeof score === "undefined") { score=0; }
-            if (typeof level === "undefined") { level=0; }
-            if (typeof angle === "undefined") { angle=-1.0; }
-
-            this.x = x;
-            this.y = y;
-            this.score = score;
-            this.level = level;
-            this.angle = angle;
-        }
-        return keypoint_t;
-    })();
-
-
-    // data types
-    global.U8_t = U8_t;
-    global.S32_t = S32_t;
-    global.F32_t = F32_t;
-    global.S64_t = S64_t;
-    global.F64_t = F64_t;
-    // data channels
-    global.C1_t = C1_t;
-    global.C2_t = C2_t;
-    global.C3_t = C3_t;
-    global.C4_t = C4_t;
-
-    // popular formats
-    global.U8C1_t = U8_t | C1_t;
-    global.U8C3_t = U8_t | C3_t;
-    global.U8C4_t = U8_t | C4_t;
-
-    global.F32C1_t = F32_t | C1_t;
-    global.F32C2_t = F32_t | C2_t;
-    global.S32C1_t = S32_t | C1_t;
-    global.S32C2_t = S32_t | C2_t;
-
-    // constants
-    global.EPSILON = EPSILON;
-    global.FLT_MIN = FLT_MIN;
-
-    // color convert
-    global.COLOR_RGBA2GRAY = COLOR_RGBA2GRAY;
-    global.COLOR_RGB2GRAY = COLOR_RGB2GRAY;
-    global.COLOR_BGRA2GRAY = COLOR_BGRA2GRAY;
-    global.COLOR_BGR2GRAY = COLOR_BGR2GRAY;
-
-    // options
-    global.BOX_BLUR_NOSCALE = BOX_BLUR_NOSCALE;
-    global.SVD_U_T = SVD_U_T;
-    global.SVD_V_T = SVD_V_T;
-
-    global.get_data_type = get_data_type;
-    global.get_channel = get_channel;
-    global.get_data_type_size = get_data_type_size;
-
-    global.data_t = data_t;
-    global.matrix_t = matrix_t;
-    global.pyramid_t = pyramid_t;
-    global.keypoint_t = keypoint_t;
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- */
-
-(function(global) {
-    "use strict";
-    //
-
-    var cache = (function() {
-
-        // very primitive array cache, still need testing if it helps
-        // of course V8 has its own powerful cache sys but i'm not sure
-        // it caches several multichannel 640x480 buffer creations each frame
-
-        var _pool_node_t = (function () {
-            function _pool_node_t(size_in_bytes) {
-                this.next = null;
-                this.data = new jsfeat.data_t(size_in_bytes);
-                this.size = this.data.size;
-                this.buffer = this.data.buffer;
-                this.u8 = this.data.u8;
-                this.i32 = this.data.i32;
-                this.f32 = this.data.f32;
-                this.f64 = this.data.f64;
-            }
-            _pool_node_t.prototype.resize = function(size_in_bytes) {
-                delete this.data;
-                this.data = new jsfeat.data_t(size_in_bytes);
-                this.size = this.data.size;
-                this.buffer = this.data.buffer;
-                this.u8 = this.data.u8;
-                this.i32 = this.data.i32;
-                this.f32 = this.data.f32;
-                this.f64 = this.data.f64;
-            };
-            return _pool_node_t;
-        })();
-
-        var _pool_head, _pool_tail;
-        var _pool_size = 0;
-
-        return {
-
-            allocate: function(capacity, data_size) {
-                _pool_head = _pool_tail = new _pool_node_t(data_size);
-                for (var i = 0; i < capacity; ++i) {
-                    var node = new _pool_node_t(data_size);
-                    _pool_tail = _pool_tail.next = node;
-
-                    _pool_size++;
-                }
-            },
-
-            get_buffer: function(size_in_bytes) {
-                // assume we have enough free nodes
-                var node = _pool_head;
-                _pool_head = _pool_head.next;
-                _pool_size--;
-
-                if(size_in_bytes > node.size) {
-                    node.resize(size_in_bytes);
-                }
-
-                return node;
-            },
-
-            put_buffer: function(node) {
-                _pool_tail = _pool_tail.next = node;
-                _pool_size++;
-            }
-        };
-    })();
-
-    global.cache = cache;
-    // for now we dont need more than 30 buffers
-    // if having cache sys really helps we can add auto extending sys
-    cache.allocate(30, 640*4);
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- */
-
-(function(global) {
-    "use strict";
-    //
-
-    var math = (function() {
-
-        var qsort_stack = new Int32Array(48*2);
-
-        return {
-            get_gaussian_kernel: function(size, sigma, kernel, data_type) {
-                var i=0,x=0.0,t=0.0,sigma_x=0.0,scale_2x=0.0;
-                var sum = 0.0;
-                var kern_node = jsfeat.cache.get_buffer(size<<2);
-                var _kernel = kern_node.f32;//new Float32Array(size);
-
-                if((size&1) == 1 && size <= 7 && sigma <= 0) {
-                    switch(size>>1) {
-                        case 0:
-                        _kernel[0] = 1.0;
-                        sum = 1.0;
-                        break;
-                        case 1:
-                        _kernel[0] = 0.25, _kernel[1] = 0.5, _kernel[2] = 0.25;
-                        sum = 0.25+0.5+0.25;
-                        break;
-                        case 2:
-                        _kernel[0] = 0.0625, _kernel[1] = 0.25, _kernel[2] = 0.375, 
-                        _kernel[3] = 0.25, _kernel[4] = 0.0625;
-                        sum = 0.0625+0.25+0.375+0.25+0.0625;
-                        break;
-                        case 3:
-                        _kernel[0] = 0.03125, _kernel[1] = 0.109375, _kernel[2] = 0.21875, 
-                        _kernel[3] = 0.28125, _kernel[4] = 0.21875, _kernel[5] = 0.109375, _kernel[6] = 0.03125;
-                        sum = 0.03125+0.109375+0.21875+0.28125+0.21875+0.109375+0.03125;
-                        break;
-                    }
-                } else {
-                    sigma_x = sigma > 0 ? sigma : ((size-1)*0.5 - 1.0)*0.3 + 0.8;
-                    scale_2x = -0.5/(sigma_x*sigma_x);
-
-                    for( ; i < size; ++i )
-                    {
-                        x = i - (size-1)*0.5;
-                        t = Math.exp(scale_2x*x*x);
-
-                        _kernel[i] = t;
-                        sum += t;
-                    }
-                }
-
-                if(data_type & jsfeat.U8_t) {
-                    // int based kernel
-                    sum = 256.0/sum;
-                    for (i = 0; i < size; ++i) {
-                        kernel[i] = (_kernel[i] * sum + 0.5)|0;
-                    }
-                } else {
-                    // classic kernel
-                    sum = 1.0/sum;
-                    for (i = 0; i < size; ++i) {
-                        kernel[i] = _kernel[i] * sum;
-                    }
-                }
-
-                jsfeat.cache.put_buffer(kern_node);
-            },
-
-            // model is 3x3 matrix_t
-            perspective_4point_transform: function(model, src_x0, src_y0, dst_x0, dst_y0,
-                                                        src_x1, src_y1, dst_x1, dst_y1,
-                                                        src_x2, src_y2, dst_x2, dst_y2,
-                                                        src_x3, src_y3, dst_x3, dst_y3) {
-                var t1 = src_x0;
-                var t2 = src_x2;
-                var t4 = src_y1;
-                var t5 = t1 * t2 * t4;
-                var t6 = src_y3;
-                var t7 = t1 * t6;
-                var t8 = t2 * t7;
-                var t9 = src_y2;
-                var t10 = t1 * t9;
-                var t11 = src_x1;
-                var t14 = src_y0;
-                var t15 = src_x3;
-                var t16 = t14 * t15;
-                var t18 = t16 * t11;
-                var t20 = t15 * t11 * t9;
-                var t21 = t15 * t4;
-                var t24 = t15 * t9;
-                var t25 = t2 * t4;
-                var t26 = t6 * t2;
-                var t27 = t6 * t11;
-                var t28 = t9 * t11;
-                var t30 = 1.0 / (t21-t24 - t25 + t26 - t27 + t28);
-                var t32 = t1 * t15;
-                var t35 = t14 * t11;
-                var t41 = t4 * t1;
-                var t42 = t6 * t41;
-                var t43 = t14 * t2;
-                var t46 = t16 * t9;
-                var t48 = t14 * t9 * t11;
-                var t51 = t4 * t6 * t2;
-                var t55 = t6 * t14;
-                var Hr0 = -(t8-t5 + t10 * t11 - t11 * t7 - t16 * t2 + t18 - t20 + t21 * t2) * t30;
-                var Hr1 = (t5 - t8 - t32 * t4 + t32 * t9 + t18 - t2 * t35 + t27 * t2 - t20) * t30;
-                var Hr2 = t1;
-                var Hr3 = (-t9 * t7 + t42 + t43 * t4 - t16 * t4 + t46 - t48 + t27 * t9 - t51) * t30;
-                var Hr4 = (-t42 + t41 * t9 - t55 * t2 + t46 - t48 + t55 * t11 + t51 - t21 * t9) * t30;
-                var Hr5 = t14;
-                var Hr6 = (-t10 + t41 + t43 - t35 + t24 - t21 - t26 + t27) * t30;
-                var Hr7 = (-t7 + t10 + t16 - t43 + t27 - t28 - t21 + t25) * t30;
-                
-                t1 = dst_x0;
-                t2 = dst_x2;
-                t4 = dst_y1;
-                t5 = t1 * t2 * t4;
-                t6 = dst_y3;
-                t7 = t1 * t6;
-                t8 = t2 * t7;
-                t9 = dst_y2;
-                t10 = t1 * t9;
-                t11 = dst_x1;
-                t14 = dst_y0;
-                t15 = dst_x3;
-                t16 = t14 * t15;
-                t18 = t16 * t11;
-                t20 = t15 * t11 * t9;
-                t21 = t15 * t4;
-                t24 = t15 * t9;
-                t25 = t2 * t4;
-                t26 = t6 * t2;
-                t27 = t6 * t11;
-                t28 = t9 * t11;
-                t30 = 1.0 / (t21-t24 - t25 + t26 - t27 + t28);
-                t32 = t1 * t15;
-                t35 = t14 * t11;
-                t41 = t4 * t1;
-                t42 = t6 * t41;
-                t43 = t14 * t2;
-                t46 = t16 * t9;
-                t48 = t14 * t9 * t11;
-                t51 = t4 * t6 * t2;
-                t55 = t6 * t14;
-                var Hl0 = -(t8-t5 + t10 * t11 - t11 * t7 - t16 * t2 + t18 - t20 + t21 * t2) * t30;
-                var Hl1 = (t5 - t8 - t32 * t4 + t32 * t9 + t18 - t2 * t35 + t27 * t2 - t20) * t30;
-                var Hl2 = t1;
-                var Hl3 = (-t9 * t7 + t42 + t43 * t4 - t16 * t4 + t46 - t48 + t27 * t9 - t51) * t30;
-                var Hl4 = (-t42 + t41 * t9 - t55 * t2 + t46 - t48 + t55 * t11 + t51 - t21 * t9) * t30;
-                var Hl5 = t14;
-                var Hl6 = (-t10 + t41 + t43 - t35 + t24 - t21 - t26 + t27) * t30;
-                var Hl7 = (-t7 + t10 + t16 - t43 + t27 - t28 - t21 + t25) * t30;
-
-                // the following code computes R = Hl * inverse Hr
-                t2 = Hr4-Hr7*Hr5;
-                t4 = Hr0*Hr4;
-                t5 = Hr0*Hr5;
-                t7 = Hr3*Hr1;
-                t8 = Hr2*Hr3;
-                t10 = Hr1*Hr6;
-                var t12 = Hr2*Hr6;
-                t15 = 1.0 / (t4-t5*Hr7-t7+t8*Hr7+t10*Hr5-t12*Hr4);
-                t18 = -Hr3+Hr5*Hr6;
-                var t23 = -Hr3*Hr7+Hr4*Hr6;
-                t28 = -Hr1+Hr2*Hr7;
-                var t31 = Hr0-t12;
-                t35 = Hr0*Hr7-t10;
-                t41 = -Hr1*Hr5+Hr2*Hr4;
-                var t44 = t5-t8;
-                var t47 = t4-t7;
-                t48 = t2*t15;
-                var t49 = t28*t15;
-                var t50 = t41*t15;
-                var mat = model.data;
-                mat[0] = Hl0*t48+Hl1*(t18*t15)-Hl2*(t23*t15);
-                mat[1] = Hl0*t49+Hl1*(t31*t15)-Hl2*(t35*t15);
-                mat[2] = -Hl0*t50-Hl1*(t44*t15)+Hl2*(t47*t15);
-                mat[3] = Hl3*t48+Hl4*(t18*t15)-Hl5*(t23*t15);
-                mat[4] = Hl3*t49+Hl4*(t31*t15)-Hl5*(t35*t15);
-                mat[5] = -Hl3*t50-Hl4*(t44*t15)+Hl5*(t47*t15);
-                mat[6] = Hl6*t48+Hl7*(t18*t15)-t23*t15;
-                mat[7] = Hl6*t49+Hl7*(t31*t15)-t35*t15;
-                mat[8] = -Hl6*t50-Hl7*(t44*t15)+t47*t15;
-            },
-
-            // The current implementation was derived from *BSD system qsort():
-            // Copyright (c) 1992, 1993
-            // The Regents of the University of California.  All rights reserved.
-            qsort: function(array, low, high, cmp) {
-                var isort_thresh = 7;
-                var t,ta,tb,tc;
-                var sp = 0,left=0,right=0,i=0,n=0,m=0,ptr=0,ptr2=0,d=0;
-                var left0=0,left1=0,right0=0,right1=0,pivot=0,a=0,b=0,c=0,swap_cnt=0;
-
-                var stack = qsort_stack;
-
-                if( (high-low+1) <= 1 ) return;
-
-                stack[0] = low;
-                stack[1] = high;
-
-                while( sp >= 0 ) {
-                
-                    left = stack[sp<<1];
-                    right = stack[(sp<<1)+1];
-                    sp--;
-
-                    for(;;) {
-                        n = (right - left) + 1;
-
-                        if( n <= isort_thresh ) {
-                        //insert_sort:
-                            for( ptr = left + 1; ptr <= right; ptr++ ) {
-                                for( ptr2 = ptr; ptr2 > left && cmp(array[ptr2],array[ptr2-1]); ptr2--) {
-                                    t = array[ptr2];
-                                    array[ptr2] = array[ptr2-1];
-                                    array[ptr2-1] = t;
-                                }
-                            }
-                            break;
-                        } else {
-                            swap_cnt = 0;
-
-                            left0 = left;
-                            right0 = right;
-                            pivot = left + (n>>1);
-
-                            if( n > 40 ) {
-                                d = n >> 3;
-                                a = left, b = left + d, c = left + (d<<1);
-                                ta = array[a],tb = array[b],tc = array[c];
-                                left = cmp(ta, tb) ? (cmp(tb, tc) ? b : (cmp(ta, tc) ? c : a))
-                                                  : (cmp(tc, tb) ? b : (cmp(ta, tc) ? a : c));
-
-                                a = pivot - d, b = pivot, c = pivot + d;
-                                ta = array[a],tb = array[b],tc = array[c];
-                                pivot = cmp(ta, tb) ? (cmp(tb, tc) ? b : (cmp(ta, tc) ? c : a))
-                                                  : (cmp(tc, tb) ? b : (cmp(ta, tc) ? a : c));
-
-                                a = right - (d<<1), b = right - d, c = right;
-                                ta = array[a],tb = array[b],tc = array[c];
-                                right = cmp(ta, tb) ? (cmp(tb, tc) ? b : (cmp(ta, tc) ? c : a))
-                                                  : (cmp(tc, tb) ? b : (cmp(ta, tc) ? a : c));
-                            }
-
-                            a = left, b = pivot, c = right;
-                            ta = array[a],tb = array[b],tc = array[c];
-                            pivot = cmp(ta, tb) ? (cmp(tb, tc) ? b : (cmp(ta, tc) ? c : a))   
-                                               : (cmp(tc, tb) ? b : (cmp(ta, tc) ? a : c));
-                            if( pivot != left0 ) {
-                                t = array[pivot];
-                                array[pivot] = array[left0];
-                                array[left0] = t;
-                                pivot = left0;
-                            }
-                            left = left1 = left0 + 1;
-                            right = right1 = right0;
-
-                            ta = array[pivot];
-                            for(;;) {
-                                while( left <= right && !cmp(ta, array[left]) ) {
-                                    if( !cmp(array[left], ta) ) {
-                                        if( left > left1 ) {
-                                            t = array[left1];
-                                            array[left1] = array[left];
-                                            array[left] = t;
-                                        }
-                                        swap_cnt = 1;
-                                        left1++;
-                                    }
-                                    left++;
-                                }
-
-                                while( left <= right && !cmp(array[right], ta) ) {
-                                    if( !cmp(ta, array[right]) ) {
-                                        if( right < right1 ) {
-                                            t = array[right1];
-                                            array[right1] = array[right];
-                                            array[right] = t;
-                                        }
-                                        swap_cnt = 1;
-                                        right1--;
-                                    }
-                                    right--;
-                                }
-
-                                if( left > right ) break;
-                                
-                                t = array[left];
-                                array[left] = array[right];
-                                array[right] = t;
-                                swap_cnt = 1;
-                                left++;
-                                right--;
-                            }
-
-                            if( swap_cnt == 0 ) {
-                                left = left0, right = right0;
-                                //goto insert_sort;
-                                for( ptr = left + 1; ptr <= right; ptr++ ) {
-                                    for( ptr2 = ptr; ptr2 > left && cmp(array[ptr2],array[ptr2-1]); ptr2--) {
-                                        t = array[ptr2];
-                                        array[ptr2] = array[ptr2-1];
-                                        array[ptr2-1] = t;
-                                    }
-                                }
-                                break;
-                            }
-
-                            n = Math.min( (left1 - left0), (left - left1) );
-                            m = (left-n)|0;
-                            for( i = 0; i < n; ++i,++m ) {
-                                t = array[left0+i];
-                                array[left0+i] = array[m];
-                                array[m] = t;
-                            }
-
-                            n = Math.min( (right0 - right1), (right1 - right) );
-                            m = (right0-n+1)|0;
-                            for( i = 0; i < n; ++i,++m ) {
-                                t = array[left+i];
-                                array[left+i] = array[m];
-                                array[m] = t;
-                            }
-                            n = (left - left1);
-                            m = (right1 - right);
-                            if( n > 1 ) {
-                                if( m > 1 ) {
-                                    if( n > m ) {
-                                        ++sp;
-                                        stack[sp<<1] = left0;
-                                        stack[(sp<<1)+1] = left0 + n - 1;
-                                        left = right0 - m + 1, right = right0;
-                                    } else {
-                                        ++sp;
-                                        stack[sp<<1] = right0 - m + 1;
-                                        stack[(sp<<1)+1] = right0;
-                                        left = left0, right = left0 + n - 1;
-                                    }
-                                } else {
-                                    left = left0, right = left0 + n - 1;
-                                }
-                            }
-                            else if( m > 1 )
-                                left = right0 - m + 1, right = right0;
-                            else
-                                break;
-                        }
-                    }
-                }
-            },
-
-            median: function(array, low, high) {
-                var w;
-                var middle=0,ll=0,hh=0,median=(low+high)>>1;
-                for (;;) {
-                    if (high <= low) return array[median];
-                    if (high == (low + 1)) {
-                        if (array[low] > array[high]) {
-                            w = array[low];
-                            array[low] = array[high];
-                            array[high] = w;
-                        }
-                        return array[median];
-                    }
-                    middle = ((low + high) >> 1);
-                    if (array[middle] > array[high]) {
-                        w = array[middle];
-                        array[middle] = array[high];
-                        array[high] = w;
-                    }
-                    if (array[low] > array[high]) {
-                        w = array[low];
-                        array[low] = array[high];
-                        array[high] = w;
-                    }
-                    if (array[middle] > array[low]) {
-                        w = array[middle];
-                        array[middle] = array[low];
-                        array[low] = w;
-                    }
-                    ll = (low + 1);
-                    w = array[middle];
-                    array[middle] = array[ll];
-                    array[ll] = w;
-                    hh = high;
-                    for (;;) {
-                        do ++ll; while (array[low] > array[ll]);
-                        do --hh; while (array[hh] > array[low]);
-                        if (hh < ll) break;
-                        w = array[ll];
-                        array[ll] = array[hh];
-                        array[hh] = w;
-                    }
-                    w = array[low];
-                    array[low] = array[hh];
-                    array[hh] = w;
-                    if (hh <= median)
-                        low = ll;
-                    else if (hh >= median)
-                        high = (hh - 1);
-                }
-                return 0;
-            }
-        };
-
-    })();
-
-    global.math = math;
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- *
- */
-
-(function(global) {
-    "use strict";
-    //
-
-    var matmath = (function() {
-        
-        return {
-            identity: function(M, value) {
-                if (typeof value === "undefined") { value=1; }
-                var src=M.data;
-                var rows=M.rows, cols=M.cols, cols_1=(cols+1)|0;
-                var len = rows * cols;
-                var k = len;
-                while(--len >= 0) src[len] = 0.0;
-                len = k;
-                k = 0;
-                while(k < len)  {
-                    src[k] = value;
-                    k = k + cols_1;
-                }
-            },
-
-            transpose: function(At, A) {
-                var i=0,j=0,nrows=A.rows,ncols=A.cols;
-                var Ai=0,Ati=0,pAt=0;
-                var ad=A.data,atd=At.data;
-
-                for (; i < nrows; Ati += 1, Ai += ncols, i++) {
-                    pAt = Ati;
-                    for (j = 0; j < ncols; pAt += nrows, j++) atd[pAt] = ad[Ai+j];
-                }
-            },
-
-            // C = A * B
-            multiply: function(C, A, B) {
-                var i=0,j=0,k=0;
-                var Ap=0,pA=0,pB=0,p_B=0,Cp=0;
-                var ncols=A.cols,nrows=A.rows,mcols=B.cols;
-                var ad=A.data,bd=B.data,cd=C.data;
-                var sum=0.0;
-
-                for (; i < nrows; Ap += ncols, i++) {
-                    for (p_B = 0, j = 0; j < mcols; Cp++, p_B++, j++) {
-                        pB = p_B;
-                        pA = Ap;
-                        sum = 0.0;
-                        for (k = 0; k < ncols; pA++, pB += mcols, k++) {
-                            sum += ad[pA] * bd[pB];
-                        }
-                        cd[Cp] = sum;
-                    }
-                }
-            },
-
-            // C = A * B'
-            multiply_ABt: function(C, A, B) {
-                var i=0,j=0,k=0;
-                var Ap=0,pA=0,pB=0,Cp=0;
-                var ncols=A.cols,nrows=A.rows,mrows=B.rows;
-                var ad=A.data,bd=B.data,cd=C.data;
-                var sum=0.0;
-
-                for (; i < nrows; Ap += ncols, i++) {
-                    for (pB = 0, j = 0; j < mrows; Cp++, j++) {
-                        pA = Ap;
-                        sum = 0.0;
-                        for (k = 0; k < ncols; pA++, pB++, k++) {
-                            sum += ad[pA] * bd[pB];
-                        }
-                        cd[Cp] = sum;
-                    }
-                }
-            },
-
-            // C = A' * B
-            multiply_AtB: function(C, A, B) {
-                var i=0,j=0,k=0;
-                var Ap=0,pA=0,pB=0,p_B=0,Cp=0;
-                var ncols=A.cols,nrows=A.rows,mcols=B.cols;
-                var ad=A.data,bd=B.data,cd=C.data;
-                var sum=0.0;
-
-                for (; i < ncols; Ap++, i++) {
-                    for (p_B = 0, j = 0; j < mcols; Cp++, p_B++, j++) {
-                        pB = p_B;
-                        pA = Ap;
-                        sum = 0.0;
-                        for (k = 0; k < nrows; pA += ncols, pB += mcols, k++) {
-                            sum += ad[pA] * bd[pB];
-                        }
-                        cd[Cp] = sum;
-                    }
-                }
-            },
-
-            // C = A * A'
-            multiply_AAt: function(C, A) {
-                var i=0,j=0,k=0;
-                var pCdiag=0,p_A=0,pA=0,pB=0,pC=0,pCt=0;
-                var ncols=A.cols,nrows=A.rows;
-                var ad=A.data,cd=C.data;
-                var sum=0.0;
-
-                for (; i < nrows; pCdiag += nrows + 1, p_A = pA, i++) {
-                    pC = pCdiag;
-                    pCt = pCdiag;
-                    pB = p_A; 
-                    for (j = i; j < nrows; pC++, pCt += nrows, j++) {
-                        pA = p_A;
-                        sum = 0.0;
-                        for (k = 0; k < ncols; k++) {
-                            sum += ad[pA++] * ad[pB++];
-                        }
-                        cd[pC] = sum;
-                        cd[pCt] = sum;
-                    }
-                }
-            },
-
-            // C = A' * A
-            multiply_AtA: function(C, A) {
-                var i=0,j=0,k=0;
-                var p_A=0,pA=0,pB=0,p_C=0,pC=0,p_CC=0;
-                var ncols=A.cols,nrows=A.rows;
-                var ad=A.data,cd=C.data;
-                var sum=0.0;
-
-                for (; i < ncols; p_C += ncols, i++) {
-                    p_A = i;
-                    p_CC = p_C + i;
-                    pC = p_CC;
-                    for (j = i; j < ncols; pC++, p_CC += ncols, j++) {
-                        pA = p_A;
-                        pB = j;
-                        sum = 0.0;
-                        for (k = 0; k < nrows; pA += ncols, pB += ncols, k++) {
-                            sum += ad[pA] * ad[pB];
-                        }
-                        cd[pC] = sum;
-                        cd[p_CC] = sum;
-                    }
-                }
-            },
-
-            // various small matrix operations
-            identity_3x3: function(M, value) {
-                if (typeof value === "undefined") { value=1; }
-                var dt=M.data;
-                dt[0] = dt[4] = dt[8] = value;
-                dt[1] = dt[2] = dt[3] = 0;
-                dt[5] = dt[6] = dt[7] = 0;
-            },
-
-            invert_3x3: function(from, to) {
-                var A = from.data, invA = to.data;
-                var t1 = A[4];
-                var t2 = A[8];
-                var t4 = A[5];
-                var t5 = A[7];
-                var t8 = A[0];
-
-                var t9 = t8*t1;
-                var t11 = t8*t4;
-                var t13 = A[3];
-                var t14 = A[1];
-                var t15 = t13*t14;
-                var t17 = A[2];
-                var t18 = t13*t17;
-                var t20 = A[6];
-                var t21 = t20*t14;
-                var t23 = t20*t17;
-                var t26 = 1.0/(t9*t2-t11*t5-t15*t2+t18*t5+t21*t4-t23*t1);
-                invA[0] = (t1*t2-t4*t5)*t26;
-                invA[1] = -(t14*t2-t17*t5)*t26;
-                invA[2] = -(-t14*t4+t17*t1)*t26;
-                invA[3] = -(t13*t2-t4*t20)*t26;
-                invA[4] = (t8*t2-t23)*t26;
-                invA[5] = -(t11-t18)*t26;
-                invA[6] = -(-t13*t5+t1*t20)*t26;
-                invA[7] = -(t8*t5-t21)*t26;
-                invA[8] = (t9-t15)*t26;
-            },
-            // C = A * B
-            multiply_3x3: function(C, A, B) {
-                var Cd=C.data, Ad=A.data, Bd=B.data;
-                var m1_0 = Ad[0], m1_1 = Ad[1], m1_2 = Ad[2];
-                var m1_3 = Ad[3], m1_4 = Ad[4], m1_5 = Ad[5];
-                var m1_6 = Ad[6], m1_7 = Ad[7], m1_8 = Ad[8];
-
-                var m2_0 = Bd[0], m2_1 = Bd[1], m2_2 = Bd[2];
-                var m2_3 = Bd[3], m2_4 = Bd[4], m2_5 = Bd[5];
-                var m2_6 = Bd[6], m2_7 = Bd[7], m2_8 = Bd[8];
-
-                Cd[0] = m1_0 * m2_0 + m1_1 * m2_3 + m1_2 * m2_6;
-                Cd[1] = m1_0 * m2_1 + m1_1 * m2_4 + m1_2 * m2_7;
-                Cd[2] = m1_0 * m2_2 + m1_1 * m2_5 + m1_2 * m2_8;
-                Cd[3] = m1_3 * m2_0 + m1_4 * m2_3 + m1_5 * m2_6;
-                Cd[4] = m1_3 * m2_1 + m1_4 * m2_4 + m1_5 * m2_7;
-                Cd[5] = m1_3 * m2_2 + m1_4 * m2_5 + m1_5 * m2_8;
-                Cd[6] = m1_6 * m2_0 + m1_7 * m2_3 + m1_8 * m2_6;
-                Cd[7] = m1_6 * m2_1 + m1_7 * m2_4 + m1_8 * m2_7;
-                Cd[8] = m1_6 * m2_2 + m1_7 * m2_5 + m1_8 * m2_8;
-            },
-
-            mat3x3_determinant: function(M) {
-                var md=M.data;
-                return  md[0] * md[4] * md[8] -
-                        md[0] * md[5] * md[7] -
-                        md[3] * md[1] * md[8] +
-                        md[3] * md[2] * md[7] +
-                        md[6] * md[1] * md[5] -
-                        md[6] * md[2] * md[4];
-            },
-
-            determinant_3x3: function(M11, M12, M13, 
-                                      M21, M22, M23, 
-                                      M31, M32, M33) {
-                return  M11 * M22 * M33 - M11 * M23 * M32 -
-                          M21 * M12 * M33 + M21 * M13 * M32 +
-                          M31 * M12 * M23 - M31 * M13 * M22;
-            }
-        };
-
-    })();
-
-    global.matmath = matmath;
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- *
- */
-
-(function(global) {
-    "use strict";
-    //
-
-    var linalg = (function() {
-
-        var swap = function(A, i0, i1, t) {
-            t = A[i0];
-            A[i0] = A[i1];
-            A[i1] = t;
-        };
-
-        var hypot = function(a, b) {
-            a = Math.abs(a);
-            b = Math.abs(b);
-            if( a > b ) {
-                b /= a;
-                return a*Math.sqrt(1.0 + b*b);
-            }
-            if( b > 0 ) {
-                a /= b;
-                return b*Math.sqrt(1.0 + a*a);
-            }
-            return 0.0;
-        };
-
-        var JacobiImpl = function(A, astep, W, V, vstep, n) {
-            var eps = jsfeat.EPSILON;
-            var i=0,j=0,k=0,m=0,l=0,idx=0,_in=0,_in2=0;
-            var iters=0,max_iter=n*n*30;
-            var mv=0.0,val=0.0,p=0.0,y=0.0,t=0.0,s=0.0,c=0.0,a0=0.0,b0=0.0;
-
-            var indR_buff = jsfeat.cache.get_buffer(n<<2);
-            var indC_buff = jsfeat.cache.get_buffer(n<<2);
-            var indR = indR_buff.i32;
-            var indC = indC_buff.i32;
-
-            if(V) {
-                for(; i < n; i++) {
-                    k = i*vstep;
-                    for(j = 0; j < n; j++) {
-                        V[k + j] = 0.0;
-                    }
-                    V[k + i] = 1.0;
-                }
-            }
-
-            for(k = 0; k < n; k++) {
-                W[k] = A[(astep + 1)*k];
-                if(k < n - 1) {
-                    for(m = k+1, mv = Math.abs(A[astep*k + m]), i = k+2; i < n; i++) {
-                        val = Math.abs(A[astep*k+i]);
-                        if(mv < val)
-                            mv = val, m = i;
-                    }
-                    indR[k] = m;
-                }
-                if(k > 0) {
-                    for(m = 0, mv = Math.abs(A[k]), i = 1; i < k; i++) {
-                        val = Math.abs(A[astep*i+k]);
-                        if(mv < val)
-                            mv = val, m = i;
-                    }
-                    indC[k] = m;
-                }
-            }
-
-            if(n > 1) for( ; iters < max_iter; iters++) {
-                // find index (k,l) of pivot p
-                for(k = 0, mv = Math.abs(A[indR[0]]), i = 1; i < n-1; i++) {
-                    val = Math.abs(A[astep*i + indR[i]]);
-                    if( mv < val )
-                        mv = val, k = i;
-                }
-                l = indR[k];
-                for(i = 1; i < n; i++) {
-                    val = Math.abs(A[astep*indC[i] + i]);
-                    if( mv < val )
-                        mv = val, k = indC[i], l = i;
-                }
-                
-                p = A[astep*k + l];
-
-                if(Math.abs(p) <= eps) break;
-
-                y = (W[l] - W[k])*0.5;
-                t = Math.abs(y) + hypot(p, y);
-                s = hypot(p, t);
-                c = t/s;
-                s = p/s; t = (p/t)*p;
-                if(y < 0)
-                    s = -s, t = -t;
-                A[astep*k + l] = 0;
-                
-                W[k] -= t;
-                W[l] += t;
-                
-                // rotate rows and columns k and l
-                for (i = 0; i < k; i++) {
-                    _in = (astep * i + k);
-                    _in2 = (astep * i + l);
-                    a0 = A[_in];
-                    b0 = A[_in2];
-                    A[_in] = a0 * c - b0 * s;
-                    A[_in2] = a0 * s + b0 * c;
-                }
-                for (i = (k + 1); i < l; i++) {
-                    _in = (astep * k + i);
-                    _in2 = (astep * i + l);
-                    a0 = A[_in];
-                    b0 = A[_in2];
-                    A[_in] = a0 * c - b0 * s;
-                    A[_in2] = a0 * s + b0 * c;
-                }
-                i = l + 1;
-                _in = (astep * k + i);
-                _in2 = (astep * l + i);
-                for (; i < n; i++, _in++, _in2++) {
-                    a0 = A[_in];
-                    b0 = A[_in2];
-                    A[_in] = a0 * c - b0 * s;
-                    A[_in2] = a0 * s + b0 * c;
-                }
-                
-                // rotate eigenvectors
-                if (V) {
-                    _in = vstep * k;
-                    _in2 = vstep * l;
-                    for (i = 0; i < n; i++, _in++, _in2++) {
-                        a0 = V[_in];
-                        b0 = V[_in2];
-                        V[_in] = a0 * c - b0 * s;
-                        V[_in2] = a0 * s + b0 * c;
-                    }
-                }
-                
-                for(j = 0; j < 2; j++) {
-                    idx = j == 0 ? k : l;
-                    if(idx < n - 1) {
-                        for(m = idx+1, mv = Math.abs(A[astep*idx + m]), i = idx+2; i < n; i++) {
-                            val = Math.abs(A[astep*idx+i]);
-                            if( mv < val )
-                                mv = val, m = i;
-                        }
-                        indR[idx] = m;
-                    }
-                    if(idx > 0) {
-                        for(m = 0, mv = Math.abs(A[idx]), i = 1; i < idx; i++) {
-                            val = Math.abs(A[astep*i+idx]);
-                            if( mv < val )
-                                mv = val, m = i;
-                        }
-                        indC[idx] = m;
-                    }
-                }
-            }
-
-            // sort eigenvalues & eigenvectors
-            for(k = 0; k < n-1; k++) {
-                m = k;
-                for(i = k+1; i < n; i++) {
-                    if(W[m] < W[i])
-                        m = i;
-                }
-                if(k != m) {
-                    swap(W, m, k, mv);
-                    if(V) {
-                        for(i = 0; i < n; i++) {
-                            swap(V, vstep*m + i, vstep*k + i, mv);
-                        }
-                    }
-                }
-            }
-
-
-            jsfeat.cache.put_buffer(indR_buff);
-            jsfeat.cache.put_buffer(indC_buff);
-        };
-
-        var JacobiSVDImpl = function(At, astep, _W, Vt, vstep, m, n, n1) {
-            var eps = jsfeat.EPSILON * 2.0;
-            var minval = jsfeat.FLT_MIN;
-            var i=0,j=0,k=0,iter=0,max_iter=Math.max(m, 30);
-            var Ai=0,Aj=0,Vi=0,Vj=0,changed=0;
-            var c=0.0, s=0.0, t=0.0;
-            var t0=0.0,t1=0.0,sd=0.0,beta=0.0,gamma=0.0,delta=0.0,a=0.0,p=0.0,b=0.0;
-            var seed = 0x1234;
-            var val=0.0,val0=0.0,asum=0.0;
-
-            var W_buff = jsfeat.cache.get_buffer(n<<3);
-            var W = W_buff.f64;
-            
-            for(; i < n; i++) {
-                for(k = 0, sd = 0; k < m; k++) {
-                    t = At[i*astep + k];
-                    sd += t*t;
-                }
-                W[i] = sd;
-                
-                if(Vt) {
-                    for(k = 0; k < n; k++) {
-                        Vt[i*vstep + k] = 0;
-                    }
-                    Vt[i*vstep + i] = 1;
-                }
-            }
-            
-            for(; iter < max_iter; iter++) {
-                changed = 0;
-                
-                for(i = 0; i < n-1; i++) {
-                    for(j = i+1; j < n; j++) {
-                        Ai = (i*astep)|0, Aj = (j*astep)|0;
-                        a = W[i], p = 0, b = W[j];
-                        
-                        k = 2;
-                        p += At[Ai]*At[Aj];
-                        p += At[Ai+1]*At[Aj+1];
-
-                        for(; k < m; k++)
-                            p += At[Ai+k]*At[Aj+k];
-                        
-                        if(Math.abs(p) <= eps*Math.sqrt(a*b)) continue;
-                        
-                        p *= 2.0;
-                        beta = a - b, gamma = hypot(p, beta);
-                        if( beta < 0 ) {
-                            delta = (gamma - beta)*0.5;
-                            s = Math.sqrt(delta/gamma);
-                            c = (p/(gamma*s*2.0));
-                        } else {
-                            c = Math.sqrt((gamma + beta)/(gamma*2.0));
-                            s = (p/(gamma*c*2.0));
-                        }
-                        
-                        a=0.0, b=0.0;
-                        
-                        k = 2; // unroll
-                        t0 = c*At[Ai] + s*At[Aj];
-                        t1 = -s*At[Ai] + c*At[Aj];
-                        At[Ai] = t0; At[Aj] = t1;
-                        a += t0*t0; b += t1*t1;
-
-                        t0 = c*At[Ai+1] + s*At[Aj+1];
-                        t1 = -s*At[Ai+1] + c*At[Aj+1];
-                        At[Ai+1] = t0; At[Aj+1] = t1;
-                        a += t0*t0; b += t1*t1;
-
-                        for( ; k < m; k++ )
-                        {
-                            t0 = c*At[Ai+k] + s*At[Aj+k];
-                            t1 = -s*At[Ai+k] + c*At[Aj+k];
-                            At[Ai+k] = t0; At[Aj+k] = t1;
-                            
-                            a += t0*t0; b += t1*t1;
-                        }
-                        
-                        W[i] = a; W[j] = b;
-                        
-                        changed = 1;
-                        
-                        if(Vt) {
-                            Vi = (i*vstep)|0, Vj = (j*vstep)|0;
-
-                            k = 2;
-                            t0 = c*Vt[Vi] + s*Vt[Vj];
-                            t1 = -s*Vt[Vi] + c*Vt[Vj];
-                            Vt[Vi] = t0; Vt[Vj] = t1;
-
-                            t0 = c*Vt[Vi+1] + s*Vt[Vj+1];
-                            t1 = -s*Vt[Vi+1] + c*Vt[Vj+1];
-                            Vt[Vi+1] = t0; Vt[Vj+1] = t1;
-
-                            for(; k < n; k++) {
-                                t0 = c*Vt[Vi+k] + s*Vt[Vj+k];
-                                t1 = -s*Vt[Vi+k] + c*Vt[Vj+k];
-                                Vt[Vi+k] = t0; Vt[Vj+k] = t1;
-                            }
-                        }
-                    }
-                }
-                if(changed == 0) break;
-            }
-            
-            for(i = 0; i < n; i++) {
-                for(k = 0, sd = 0; k < m; k++) {
-                    t = At[i*astep + k];
-                    sd += t*t;
-                }
-                W[i] = Math.sqrt(sd);
-            }
-            
-            for(i = 0; i < n-1; i++) {
-                j = i;
-                for(k = i+1; k < n; k++) {
-                    if(W[j] < W[k])
-                        j = k;
-                }
-                if(i != j) {
-                    swap(W, i, j, sd);
-                    if(Vt) {
-                        for(k = 0; k < m; k++) {
-                            swap(At, i*astep + k, j*astep + k, t);
-                        }
-                        
-                        for(k = 0; k < n; k++) {
-                            swap(Vt, i*vstep + k, j*vstep + k, t);
-                        }
-                    }
-                }
-            }
-            
-            for(i = 0; i < n; i++) {
-                _W[i] = W[i];
-            }
-            
-            if(!Vt) {
-                jsfeat.cache.put_buffer(W_buff);
-                return;
-            }
-
-            for(i = 0; i < n1; i++) {
-
-                sd = i < n ? W[i] : 0;
-                
-                while(sd <= minval) {
-                    // if we got a zero singular value, then in order to get the corresponding left singular vector
-                    // we generate a random vector, project it to the previously computed left singular vectors,
-                    // subtract the projection and normalize the difference.
-                    val0 = (1.0/m);
-                    for(k = 0; k < m; k++) {
-                        seed = (seed * 214013 + 2531011);
-                        val = (((seed >> 16) & 0x7fff) & 256) != 0 ? val0 : -val0;
-                        At[i*astep + k] = val;
-                    }
-                    for(iter = 0; iter < 2; iter++) {
-                        for(j = 0; j < i; j++) {
-                            sd = 0;
-                            for(k = 0; k < m; k++) {
-                                sd += At[i*astep + k]*At[j*astep + k];
-                            }
-                            asum = 0.0;
-                            for(k = 0; k < m; k++) {
-                                t = (At[i*astep + k] - sd*At[j*astep + k]);
-                                At[i*astep + k] = t;
-                                asum += Math.abs(t);
-                            }
-                            asum = asum ? 1.0/asum : 0;
-                            for(k = 0; k < m; k++) {
-                                At[i*astep + k] *= asum;
-                            }
-                        }
-                    }
-                    sd = 0;
-                    for(k = 0; k < m; k++) {
-                        t = At[i*astep + k];
-                        sd += t*t;
-                    }
-                    sd = Math.sqrt(sd);
-                }
-                
-                s = (1.0/sd);
-                for(k = 0; k < m; k++) {
-                    At[i*astep + k] *= s;
-                }
-            }
-
-            jsfeat.cache.put_buffer(W_buff);
-        };
-        
-        return {
-
-            lu_solve: function(A, B) {
-                var i=0,j=0,k=0,p=1,astep=A.cols;
-                var ad=A.data, bd=B.data;
-                var t,alpha,d,s;
-
-                for(i = 0; i < astep; i++) {
-                    k = i;                    
-                    for(j = i+1; j < astep; j++) {
-                        if(Math.abs(ad[j*astep + i]) > Math.abs(ad[k*astep+i])) {
-                            k = j;
-                        }
-                    }
-                    
-                    if(Math.abs(ad[k*astep+i]) < jsfeat.EPSILON) {
-                        return 0; // FAILED
-                    }
-                    
-                    if(k != i) {
-                        for(j = i; j < astep; j++ ) {
-                            swap(ad, i*astep+j, k*astep+j, t);
-                        }
-                        
-                        swap(bd, i, k, t);
-                        p = -p;
-                    }
-                    
-                    d = -1.0/ad[i*astep+i];
-                    
-                    for(j = i+1; j < astep; j++) {
-                        alpha = ad[j*astep+i]*d;
-                        
-                        for(k = i+1; k < astep; k++) {
-                            ad[j*astep+k] += alpha*ad[i*astep+k];
-                        }
-                        
-                        bd[j] += alpha*bd[i];
-                    }
-                    
-                    ad[i*astep+i] = -d;
-                }
-                
-                for(i = astep-1; i >= 0; i--) {
-                    s = bd[i];
-                    for(k = i+1; k < astep; k++) {
-                        s -= ad[i*astep+k]*bd[k];
-                    }
-                    bd[i] = s*ad[i*astep+i];
-                }
-
-                return 1; // OK
-            },
-
-            cholesky_solve: function(A, B) {
-                var col=0,row=0,col2=0,cs=0,rs=0,i=0,j=0;
-                var size = A.cols;
-                var ad=A.data, bd=B.data;
-                var val,inv_diag;
-
-                for (col = 0; col < size; col++) {
-                    inv_diag = 1.0;
-                    cs = (col * size);
-                    rs = cs;
-                    for (row = col; row < size; row++)
-                    {
-                        // correct for the parts of cholesky already computed
-                        val = ad[(rs+col)];
-                        for (col2 = 0; col2 < col; col2++) {
-                            val -= ad[(col2*size+col)] * ad[(rs+col2)];
-                        }
-                        if (row == col) {
-                            // this is the diagonal element so don't divide
-                            ad[(rs+col)] = val;
-                            if(val == 0) {
-                                return 0;
-                            }
-                            inv_diag = 1.0 / val;
-                        } else {
-                            // cache the value without division in the upper half
-                            ad[(cs+row)] = val;
-                            // divide my the diagonal element for all others
-                            ad[(rs+col)] = val * inv_diag;
-                        }
-                        rs = (rs + size);
-                    }
-                }
-
-                // first backsub through L
-                cs = 0;
-                for (i = 0; i < size; i++) {
-                    val = bd[i];
-                    for (j = 0; j < i; j++) {
-                        val -= ad[(cs+j)] * bd[j];
-                    }
-                    bd[i] = val;
-                    cs = (cs + size);
-                }
-                // backsub through diagonal
-                cs = 0;
-                for (i = 0; i < size; i++) {
-                    bd[i] /= ad[(cs + i)];
-                    cs = (cs + size);
-                }
-                // backsub through L Transpose
-                i = (size-1);
-                for (; i >= 0; i--) {
-                    val = bd[i];
-                    j = (i + 1);
-                    cs = (j * size);
-                    for (; j < size; j++) {
-                        val -= ad[(cs + i)] * bd[j];
-                        cs = (cs + size);
-                    }
-                    bd[i] = val;
-                }
-
-                return 1;
-            },
-
-            svd_decompose: function(A, W, U, V, options) {
-                if (typeof options === "undefined") { options = 0; }
-                var at=0,i=0,j=0,_m=A.rows,_n=A.cols,m=_m,n=_n;
-                var dt = A.type | jsfeat.C1_t; // we only work with single channel
-
-                if(m < n) {
-                    at = 1;
-                    i = m;
-                    m = n;
-                    n = i;
-                }
-
-                var a_buff = jsfeat.cache.get_buffer((m*m)<<3);
-                var w_buff = jsfeat.cache.get_buffer(n<<3);
-                var v_buff = jsfeat.cache.get_buffer((n*n)<<3);
-
-                var a_mt = new jsfeat.matrix_t(m, m, dt, a_buff.data);
-                var w_mt = new jsfeat.matrix_t(1, n, dt, w_buff.data);
-                var v_mt = new jsfeat.matrix_t(n, n, dt, v_buff.data);
-
-                if(at == 0) {
-                    // transpose
-                    jsfeat.matmath.transpose(a_mt, A);
-                } else {
-                    for(i = 0; i < _n*_m; i++) {
-                        a_mt.data[i] = A.data[i];
-                    }
-                    for(; i < n*m; i++) {
-                        a_mt.data[i] = 0;
-                    }
-                }
-
-                JacobiSVDImpl(a_mt.data, m, w_mt.data, v_mt.data, n, m, n, m);
-
-                if(W) {
-                    for(i=0; i < n; i++) {
-                        W.data[i] = w_mt.data[i];
-                    }
-                    for(; i < _n; i++) {
-                        W.data[i] = 0;
-                    }
-                }
-
-                if (at == 0) {
-                    if(U && (options & jsfeat.SVD_U_T)) {
-                        i = m*m;
-                        while(--i >= 0) {
-                            U.data[i] = a_mt.data[i];
-                        }
-                    } else if(U) {
-                        jsfeat.matmath.transpose(U, a_mt);
-                    }
-
-                    if(V && (options & jsfeat.SVD_V_T)) {
-                        i = n*n;
-                        while(--i >= 0) {
-                            V.data[i] = v_mt.data[i];
-                        }
-                    } else if(V) {
-                        jsfeat.matmath.transpose(V, v_mt);
-                    }
-                } else {
-                    if(U && (options & jsfeat.SVD_U_T)) {
-                        i = n*n;
-                        while(--i >= 0) {
-                            U.data[i] = v_mt.data[i];
-                        }
-                    } else if(U) {
-                        jsfeat.matmath.transpose(U, v_mt);
-                    }
-
-                    if(V && (options & jsfeat.SVD_V_T)) {
-                        i = m*m;
-                        while(--i >= 0) {
-                            V.data[i] = a_mt.data[i];
-                        }
-                    } else if(V) {
-                        jsfeat.matmath.transpose(V, a_mt);
-                    }
-                }
-
-                jsfeat.cache.put_buffer(a_buff);
-                jsfeat.cache.put_buffer(w_buff);
-                jsfeat.cache.put_buffer(v_buff);
-
-            },
-
-            svd_solve: function(A, X, B) {
-                var i=0,j=0,k=0;
-                var pu=0,pv=0;
-                var nrows=A.rows,ncols=A.cols;
-                var sum=0.0,xsum=0.0,tol=0.0;
-                var dt = A.type | jsfeat.C1_t;
-
-                var u_buff = jsfeat.cache.get_buffer((nrows*nrows)<<3);
-                var w_buff = jsfeat.cache.get_buffer(ncols<<3);
-                var v_buff = jsfeat.cache.get_buffer((ncols*ncols)<<3);
-
-                var u_mt = new jsfeat.matrix_t(nrows, nrows, dt, u_buff.data);
-                var w_mt = new jsfeat.matrix_t(1, ncols, dt, w_buff.data);
-                var v_mt = new jsfeat.matrix_t(ncols, ncols, dt, v_buff.data);
-
-                var bd = B.data, ud = u_mt.data, wd = w_mt.data, vd = v_mt.data;
-
-                this.svd_decompose(A, w_mt, u_mt, v_mt, 0);
-
-                tol = jsfeat.EPSILON * wd[0] * ncols;
-
-                for (; i < ncols; i++, pv += ncols) {
-                    xsum = 0.0;
-                    for(j = 0; j < ncols; j++) {
-                        if(wd[j] > tol) {
-                            for(k = 0, sum = 0.0, pu = 0; k < nrows; k++, pu += ncols) {
-                                sum += ud[pu + j] * bd[k];
-                            }
-                            xsum += sum * vd[pv + j] / wd[j];
-                        }
-                    }
-                    X.data[i] = xsum;
-                }
-
-                jsfeat.cache.put_buffer(u_buff);
-                jsfeat.cache.put_buffer(w_buff);
-                jsfeat.cache.put_buffer(v_buff);
-            },
-
-            svd_invert: function(Ai, A) {
-                var i=0,j=0,k=0;
-                var pu=0,pv=0,pa=0;
-                var nrows=A.rows,ncols=A.cols;
-                var sum=0.0,tol=0.0;
-                var dt = A.type | jsfeat.C1_t;
-
-                var u_buff = jsfeat.cache.get_buffer((nrows*nrows)<<3);
-                var w_buff = jsfeat.cache.get_buffer(ncols<<3);
-                var v_buff = jsfeat.cache.get_buffer((ncols*ncols)<<3);
-
-                var u_mt = new jsfeat.matrix_t(nrows, nrows, dt, u_buff.data);
-                var w_mt = new jsfeat.matrix_t(1, ncols, dt, w_buff.data);
-                var v_mt = new jsfeat.matrix_t(ncols, ncols, dt, v_buff.data);
-
-                var id = Ai.data, ud = u_mt.data, wd = w_mt.data, vd = v_mt.data;
-
-                this.svd_decompose(A, w_mt, u_mt, v_mt, 0);
-
-                tol = jsfeat.EPSILON * wd[0] * ncols;
-
-                for (; i < ncols; i++, pv += ncols) {
-                    for (j = 0, pu = 0; j < nrows; j++, pa++) {
-                        for (k = 0, sum = 0.0; k < ncols; k++, pu++) {
-                            if (wd[k] > tol) sum += vd[pv + k] * ud[pu] / wd[k];
-                        }
-                        id[pa] = sum;
-                    }
-                }
-
-                jsfeat.cache.put_buffer(u_buff);
-                jsfeat.cache.put_buffer(w_buff);
-                jsfeat.cache.put_buffer(v_buff);
-            },
-
-            eigenVV: function(A, vects, vals) {
-                var n=A.cols,i=n*n;
-                var dt = A.type | jsfeat.C1_t;
-
-                var a_buff = jsfeat.cache.get_buffer((n*n)<<3);
-                var w_buff = jsfeat.cache.get_buffer(n<<3);
-                var a_mt = new jsfeat.matrix_t(n, n, dt, a_buff.data);
-                var w_mt = new jsfeat.matrix_t(1, n, dt, w_buff.data);
-
-                while(--i >= 0) {
-                    a_mt.data[i] = A.data[i];
-                }
-
-                JacobiImpl(a_mt.data, n, w_mt.data, vects ? vects.data : null, n, n);
-
-                if(vals) {
-                    while(--n >= 0) {
-                        vals.data[n] = w_mt.data[n];
-                    }
-                }
-
-                jsfeat.cache.put_buffer(a_buff);
-                jsfeat.cache.put_buffer(w_buff);
-            }
-
-        };
-
-    })();
-
-    global.linalg = linalg;
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- *
- */
-
-(function(global) {
-    "use strict";
-    //
-
-    var motion_model = (function() {
-
-    	var sqr = function(x) {
-    		return x*x;
-    	};
-
-    	// does isotropic normalization
-    	var iso_normalize_points = function(from, to, T0, T1, count) {
-			var i=0;
-		    var cx0=0.0, cy0=0.0, d0=0.0, s0=0.0;
-		    var cx1=0.0, cy1=0.0, d1=0.0, s1=0.0;
-		    var dx=0.0,dy=0.0;
-
-		    for (; i < count; ++i) {
-		        cx0 += from[i].x;
-		        cy0 += from[i].y;
-		        cx1 += to[i].x;
-		        cy1 += to[i].y;
-		    }
-
-		    cx0 /= count; cy0 /= count;
-		    cx1 /= count; cy1 /= count;
-
-		    for (i = 0; i < count; ++i) {
-		        dx = from[i].x - cx0;
-		        dy = from[i].y - cy0;
-		        d0 += Math.sqrt(dx*dx + dy*dy);
-		        dx = to[i].x - cx1;
-		        dy = to[i].y - cy1;
-		        d1 += Math.sqrt(dx*dx + dy*dy);
-		    }
-
-		    d0 /= count; d1 /= count;
-
-		    s0 = Math.SQRT2 / d0; s1 = Math.SQRT2 / d1;
-
-		    T0[0] = T0[4] = s0;
-		    T0[2] = -cx0*s0;
-		    T0[5] = -cy0*s0;
-		    T0[1] = T0[3] = T0[6] = T0[7] = 0.0;
-		    T0[8] = 1.0;
-
-		    T1[0] = T1[4] = s1;
-		    T1[2] = -cx1*s1;
-		    T1[5] = -cy1*s1;
-		    T1[1] = T1[3] = T1[6] = T1[7] = 0.0;
-		    T1[8] = 1.0;
-		};
-
-		var have_collinear_points = function(points, count) {
-		    var j=0,k=0,i=(count-1)|0;
-		    var dx1=0.0,dy1=0.0,dx2=0.0,dy2=0.0;
-
-		    // check that the i-th selected point does not belong
-		    // to a line connecting some previously selected points
-		    for(; j < i; ++j) {
-		        dx1 = points[j].x - points[i].x;
-		        dy1 = points[j].y - points[i].y;
-		        for(k = 0; k < j; ++k) {
-		            dx2 = points[k].x - points[i].x;
-		            dy2 = points[k].y - points[i].y;
-		            if( Math.abs(dx2*dy1 - dy2*dx1) <= jsfeat.EPSILON*(Math.abs(dx1) + Math.abs(dy1) + Math.abs(dx2) + Math.abs(dy2)))
-		                return true;
-		        }
-		    }
-		    return false;
-		};
-
-		var T0 = new jsfeat.matrix_t(3, 3, jsfeat.F32_t|jsfeat.C1_t);
-    	var T1 = new jsfeat.matrix_t(3, 3, jsfeat.F32_t|jsfeat.C1_t);
-    	var AtA = new jsfeat.matrix_t(6, 6, jsfeat.F32_t|jsfeat.C1_t);
-    	var AtB = new jsfeat.matrix_t(6, 1, jsfeat.F32_t|jsfeat.C1_t);
-    	
-    	var affine2d = (function () {
-
-	        function affine2d() {
-	        	// empty constructor
-	        }
-
-	        affine2d.prototype.run = function(from, to, model, count) {
-	        	var i=0,j=0;
-	        	var dt=model.type|jsfeat.C1_t;
-	        	var md=model.data, t0d=T0.data, t1d=T1.data;
-	        	var pt0,pt1,px=0.0,py=0.0;
-
-	            iso_normalize_points(from, to, t0d, t1d, count);
-
-	            var a_buff = jsfeat.cache.get_buffer((2*count*6)<<3);
-                var b_buff = jsfeat.cache.get_buffer((2*count)<<3);
-
-                var a_mt = new jsfeat.matrix_t(6, 2*count, dt, a_buff.data);
-                var b_mt = new jsfeat.matrix_t(1, 2*count, dt, b_buff.data);
-                var ad=a_mt.data, bd=b_mt.data;
-
-			    for (; i < count; ++i) {
-			    	pt0 = from[i];
-			        pt1 = to[i];
-
-			        px = t0d[0]*pt0.x + t0d[1]*pt0.y + t0d[2];
-			        py = t0d[3]*pt0.x + t0d[4]*pt0.y + t0d[5];
-
-			        j = i*2*6;
-			        ad[j]=px, ad[j+1]=py, ad[j+2]=1.0, ad[j+3]=0.0, ad[j+4]=0.0, ad[j+5]=0.0;
-
-			        j += 6;
-			        ad[j]=0.0, ad[j+1]=0.0, ad[j+2]=0.0, ad[j+3]=px, ad[j+4]=py, ad[j+5]=1.0;
-
-			        bd[i<<1] = t1d[0]*pt1.x + t1d[1]*pt1.y + t1d[2];
-			        bd[(i<<1)+1] = t1d[3]*pt1.x + t1d[4]*pt1.y + t1d[5];
-			    }
-
-			    jsfeat.matmath.multiply_AtA(AtA, a_mt);
-			    jsfeat.matmath.multiply_AtB(AtB, a_mt, b_mt);
-
-			    jsfeat.linalg.lu_solve(AtA, AtB);
-
-			    md[0] = AtB.data[0], md[1]=AtB.data[1], md[2]=AtB.data[2];
-			    md[3] = AtB.data[3], md[4]=AtB.data[4], md[5]=AtB.data[5];
-			    md[6] = 0.0, md[7] = 0.0, md[8] = 1.0; // fill last row
-
-			    // denormalize
-			    jsfeat.matmath.invert_3x3(T1, T1);
-			    jsfeat.matmath.multiply_3x3(model, T1, model);
-			    jsfeat.matmath.multiply_3x3(model, model, T0);
-
-			    // free buffer
-			    jsfeat.cache.put_buffer(a_buff);
-			    jsfeat.cache.put_buffer(b_buff);
-
-			    return 1;
-	        };
-
-	        affine2d.prototype.error = function(from, to, model, err, count) {
-	        	var i=0;
-	        	var pt0,pt1;
-	        	var m=model.data;
-
-			    for (; i < count; ++i) {
-			        pt0 = from[i];
-			        pt1 = to[i];
-
-			        err[i] = sqr(pt1.x - m[0]*pt0.x - m[1]*pt0.y - m[2]) +
-			                 sqr(pt1.y - m[3]*pt0.x - m[4]*pt0.y - m[5]);
-			    }
-	        };
-
-	        affine2d.prototype.check_subset = function(from, to, count) {
-	            return true; // all good
-	        };
-
-	        return affine2d;
-	    })();
-
-	    var mLtL = new jsfeat.matrix_t(9, 9, jsfeat.F32_t|jsfeat.C1_t);
-	    var Evec = new jsfeat.matrix_t(9, 9, jsfeat.F32_t|jsfeat.C1_t);
-
-	    var homography2d = (function () {
-
-	        function homography2d() {
-	        	// empty constructor
-	        	//this.T0 = new jsfeat.matrix_t(3, 3, jsfeat.F32_t|jsfeat.C1_t);
-	        	//this.T1 = new jsfeat.matrix_t(3, 3, jsfeat.F32_t|jsfeat.C1_t);
-	        	//this.mLtL = new jsfeat.matrix_t(9, 9, jsfeat.F32_t|jsfeat.C1_t);
-	        	//this.Evec = new jsfeat.matrix_t(9, 9, jsfeat.F32_t|jsfeat.C1_t);
-	        }
-
-	        homography2d.prototype.run = function(from, to, model, count) {
-	        	var i=0,j=0;
-	        	var md=model.data, t0d=T0.data, t1d=T1.data;
-	        	var LtL=mLtL.data, evd=Evec.data;
-	        	var x=0.0,y=0.0,X=0.0,Y=0.0;
-
-			    // norm
-				var smx=0.0, smy=0.0, cmx=0.0, cmy=0.0, sMx=0.0, sMy=0.0, cMx=0.0, cMy=0.0;
-
-				for(; i < count; ++i) {
-				    cmx += to[i].x;
-				    cmy += to[i].y;
-				    cMx += from[i].x;
-				    cMy += from[i].y;
-				}
-
-			    cmx /= count; cmy /= count;
-			    cMx /= count; cMy /= count;
-
-			    for(i = 0; i < count; ++i)
-			    {
-				    smx += Math.abs(to[i].x - cmx);
-				    smy += Math.abs(to[i].y - cmy);
-				    sMx += Math.abs(from[i].x - cMx);
-				    sMy += Math.abs(from[i].y - cMy);
-				}
-
-			    if( Math.abs(smx) < jsfeat.EPSILON 
-			    	|| Math.abs(smy) < jsfeat.EPSILON 
-			    	|| Math.abs(sMx) < jsfeat.EPSILON 
-			    	|| Math.abs(sMy) < jsfeat.EPSILON ) return 0;
-
-			    smx = count/smx; smy = count/smy;
-			    sMx = count/sMx; sMy = count/sMy;
-
-			    t0d[0] = sMx; 	t0d[1] = 0; 	t0d[2] = -cMx*sMx; 
-			    t0d[3] = 0; 	t0d[4] = sMy; 	t0d[5] = -cMy*sMy; 
-			    t0d[6] = 0; 	t0d[7] = 0; 	t0d[8] = 1;
-
-				t1d[0] = 1.0/smx; 	t1d[1] = 0; 		t1d[2] = cmx;
-				t1d[3] = 0; 		t1d[4] = 1.0/smy; 	t1d[5] = cmy;
-				t1d[6] = 0; 		t1d[7] = 0; 		t1d[8] = 1;
-				//
-
-				// construct system
-				i = 81;
-				while(--i >= 0) {
-					LtL[i] = 0.0;
-				}
-				for(i = 0; i < count; ++i) {
-					x = (to[i].x - cmx) * smx;
-					y = (to[i].y - cmy) * smy;
-					X = (from[i].x - cMx) * sMx;
-					Y = (from[i].y - cMy) * sMy;
-
-					LtL[0] += X*X;
-					LtL[1] += X*Y;
-					LtL[2] += X;
-
-					LtL[6] += X*-x*X;
-					LtL[7] += X*-x*Y;
-					LtL[8] += X*-x;
-					LtL[10] += Y*Y;
-					LtL[11] += Y;
-
-					LtL[15] += Y*-x*X;
-					LtL[16] += Y*-x*Y;
-					LtL[17] += Y*-x;
-					LtL[20] += 1.0;
-
-					LtL[24] += -x*X;
-					LtL[25] += -x*Y;
-					LtL[26] += -x;
-					LtL[30] += X*X;
-					LtL[31] += X*Y;
-					LtL[32] += X;
-					LtL[33] += X*-y*X;
-					LtL[34] += X*-y*Y;
-					LtL[35] += X*-y;
-					LtL[40] += Y*Y;
-					LtL[41] += Y;
-					LtL[42] += Y*-y*X;
-					LtL[43] += Y*-y*Y;
-					LtL[44] += Y*-y;
-					LtL[50] += 1.0;
-					LtL[51] += -y*X;
-					LtL[52] += -y*Y;
-					LtL[53] += -y;
-					LtL[60] += -x*X*-x*X + -y*X*-y*X;
-					LtL[61] += -x*X*-x*Y + -y*X*-y*Y;
-					LtL[62] += -x*X*-x + -y*X*-y;
-					LtL[70] += -x*Y*-x*Y + -y*Y*-y*Y;
-					LtL[71] += -x*Y*-x + -y*Y*-y;
-					LtL[80] += -x*-x + -y*-y;
-				}
-				//
-
-				// symmetry
-			    for(i = 0; i < 9; ++i) {
-			        for(j = 0; j < i; ++j)
-			            LtL[i*9+j] = LtL[j*9+i];
-			    }
-
-				jsfeat.linalg.eigenVV(mLtL, Evec);
-
-				md[0]=evd[72], md[1]=evd[73], md[2]=evd[74];
-			    md[3]=evd[75], md[4]=evd[76], md[5]=evd[77];
-			    md[6]=evd[78], md[7]=evd[79], md[8]=evd[80];
-
-				// denormalize
-			    jsfeat.matmath.multiply_3x3(model, T1, model);
-			    jsfeat.matmath.multiply_3x3(model, model, T0);
-
-			    // set bottom right to 1.0
-			    x = 1.0/md[8];
-			    md[0] *= x; md[1] *= x; md[2] *= x;
-			    md[3] *= x; md[4] *= x; md[5] *= x;
-			    md[6] *= x; md[7] *= x; md[8] = 1.0;
-
-			    return 1;
-	        };
-
-	        homography2d.prototype.error = function(from, to, model, err, count) {
-	        	var i=0;
-	        	var pt0,pt1,ww=0.0,dx=0.0,dy=0.0;
-	        	var m=model.data;
-
-			    for (; i < count; ++i) {
-			        pt0 = from[i];
-			        pt1 = to[i];
-
-			        ww = 1.0/(m[6]*pt0.x + m[7]*pt0.y + 1.0);
-			        dx = (m[0]*pt0.x + m[1]*pt0.y + m[2])*ww - pt1.x;
-			        dy = (m[3]*pt0.x + m[4]*pt0.y + m[5])*ww - pt1.y;
-			        err[i] = (dx*dx + dy*dy);
-			    }
-	        };
-
-	        homography2d.prototype.check_subset = function(from, to, count) {
-	        	// seems to reject good subsets actually
-	        	//if( have_collinear_points(from, count) || have_collinear_points(to, count) ) {
-        			//return false;
-        		//}
-        		if( count == 4 ) {
-			        var negative = 0;
-
-			        var fp0=from[0],fp1=from[1],fp2=from[2],fp3=from[3];
-			        var tp0=to[0],tp1=to[1],tp2=to[2],tp3=to[3];
-
-			        // set1
-			        var A11=fp0.x, A12=fp0.y, A13=1.0;
-			        var A21=fp1.x, A22=fp1.y, A23=1.0;
-			        var A31=fp2.x, A32=fp2.y, A33=1.0;
-
-			        var B11=tp0.x, B12=tp0.y, B13=1.0;
-			        var B21=tp1.x, B22=tp1.y, B23=1.0;
-			        var B31=tp2.x, B32=tp2.y, B33=1.0;
-
-			        var detA = jsfeat.matmath.determinant_3x3(A11,A12,A13, A21,A22,A23, A31,A32,A33);
-					var detB = jsfeat.matmath.determinant_3x3(B11,B12,B13, B21,B22,B23, B31,B32,B33);
-
-					if(detA*detB < 0) negative++;
-
-					// set2
-					A11=fp1.x, A12=fp1.y;
-			        A21=fp2.x, A22=fp2.y;
-			        A31=fp3.x, A32=fp3.y;
-
-			        B11=tp1.x, B12=tp1.y;
-			        B21=tp2.x, B22=tp2.y;
-			        B31=tp3.x, B32=tp3.y;
-
-			        detA = jsfeat.matmath.determinant_3x3(A11,A12,A13, A21,A22,A23, A31,A32,A33);
-					detB = jsfeat.matmath.determinant_3x3(B11,B12,B13, B21,B22,B23, B31,B32,B33);
-
-					if(detA*detB < 0) negative++;
-
-					// set3
-					A11=fp0.x, A12=fp0.y;
-			        A21=fp2.x, A22=fp2.y;
-			        A31=fp3.x, A32=fp3.y;
-
-			        B11=tp0.x, B12=tp0.y;
-			        B21=tp2.x, B22=tp2.y;
-			        B31=tp3.x, B32=tp3.y;
-
-			        detA = jsfeat.matmath.determinant_3x3(A11,A12,A13, A21,A22,A23, A31,A32,A33);
-					detB = jsfeat.matmath.determinant_3x3(B11,B12,B13, B21,B22,B23, B31,B32,B33);
-
-					if(detA*detB < 0) negative++;
-
-					// set4
-					A11=fp0.x, A12=fp0.y;
-			        A21=fp1.x, A22=fp1.y;
-			        A31=fp3.x, A32=fp3.y;
-
-			        B11=tp0.x, B12=tp0.y;
-			        B21=tp1.x, B22=tp1.y;
-			        B31=tp3.x, B32=tp3.y;
-
-			        detA = jsfeat.matmath.determinant_3x3(A11,A12,A13, A21,A22,A23, A31,A32,A33);
-					detB = jsfeat.matmath.determinant_3x3(B11,B12,B13, B21,B22,B23, B31,B32,B33);
-
-					if(detA*detB < 0) negative++;
-
-			        if(negative != 0 && negative != 4) {
-			        	return false;
-			        }
-			    }
-	            return true; // all good
-	        };
-
-	        return homography2d;
-	    })();
-
-	    return {
-
-    		affine2d:affine2d,
-    		homography2d:homography2d
-
-    	};
-
-    })();
-
-    var ransac_params_t = (function () {
-        function ransac_params_t(size, thresh, eps, prob) {
-            if (typeof size === "undefined") { size=0; }
-            if (typeof thresh === "undefined") { thresh=0.5; }
-            if (typeof eps === "undefined") { eps=0.5; }
-            if (typeof prob === "undefined") { prob=0.99; }
-
-            this.size = size;
-            this.thresh = thresh;
-            this.eps = eps;
-            this.prob = prob;
-        }
-        ransac_params_t.prototype.update_iters = function(_eps, max_iters) {
-	        var num = Math.log(1 - this.prob);
-	        var denom = Math.log(1 - Math.pow(1 - _eps, this.size));
-	        return (denom >= 0 || -num >= max_iters*(-denom) ? max_iters : Math.round(num/denom))|0;
-        };
-        return ransac_params_t;
-    })();
-
-    var motion_estimator = (function() {
-
-    	var get_subset = function(kernel, from, to, need_cnt, max_cnt, from_sub, to_sub) {
-    		var max_try = 1000;
-    		var indices = [];
-		    var i=0, j=0, ssiter=0, idx_i=0, ok=false;
-		    for(; ssiter < max_try; ++ssiter)  {
-		        i = 0;
-		        for (; i < need_cnt && ssiter < max_try;) {
-		            ok = false;
-		            idx_i = 0;
-		            while (!ok) {
-		                ok = true;
-		                idx_i = indices[i] = Math.floor(Math.random() * max_cnt)|0;
-		                for (j = 0; j < i; ++j) {
-		                    if (idx_i == indices[j])
-		                    { ok = false; break; }
-		                }
-		            }
-		            from_sub[i] = from[idx_i];
-		            to_sub[i] = to[idx_i];
-		            if( !kernel.check_subset( from_sub, to_sub, i+1 ) ) {
-		                ssiter++;
-		                continue;
-		            }
-		            ++i;
-		        }
-		        break;
-		    }
-
-		    return (i == need_cnt && ssiter < max_try);
-    	};
-
-    	var find_inliers = function(kernel, model, from, to, count, thresh, err, mask) {
-    		var numinliers = 0, i=0, f=0;
-    		var t = thresh*thresh;
-
-    		kernel.error(from, to, model, err, count);
-
-		    for(; i < count; ++i) {
-		        f = err[i] <= t;
-		        mask[i] = f;
-		        numinliers += f;
-		    }
-		    return numinliers;
-    	};
-
-    	return {
-
-    		ransac: function(params, kernel, from, to, count, model, mask, max_iters) {
-    			if (typeof max_iters === "undefined") { max_iters=1000; }
-
-    			if(count < params.size) return false;
-
-    			var model_points = params.size;
-			    var niters = max_iters, iter=0;
-			    var result = false;
-
-			    var subset0 = [];
-			    var subset1 = [];
-			    var found = false;
-
-			    var mc=model.cols,mr=model.rows;
-                var dt = model.type | jsfeat.C1_t;
-
-			    var m_buff = jsfeat.cache.get_buffer((mc*mr)<<3);
-			    var ms_buff = jsfeat.cache.get_buffer(count);
-			    var err_buff = jsfeat.cache.get_buffer(count<<2);
-			    var M = new jsfeat.matrix_t(mc, mr, dt, m_buff.data);
-			    var curr_mask = new jsfeat.matrix_t(count, 1, jsfeat.U8C1_t, ms_buff.data);
-
-			    var inliers_max = -1, numinliers=0;
-			    var nmodels = 0;
-
-			    var err = err_buff.f32;
-
-			    // special case
-			    if(count == model_points) {
-			        if(kernel.run(from, to, M, count) <= 0) {
-			        	jsfeat.cache.put_buffer(m_buff);
-			        	jsfeat.cache.put_buffer(ms_buff);
-			        	jsfeat.cache.put_buffer(err_buff);
-			        	return false;
-			        }
-
-			        M.copy_to(model);
-			        if(mask) {
-			        	while(--count >= 0) {
-			        		mask.data[count] = 1;
-			        	}
-			        }
-			        jsfeat.cache.put_buffer(m_buff);
-			        jsfeat.cache.put_buffer(ms_buff);
-			        jsfeat.cache.put_buffer(err_buff);
-			        return true;
-			    }
-
-			    for (; iter < niters; ++iter) {
-			        // generate subset
-			        found = get_subset(kernel, from, to, model_points, count, subset0, subset1);
-			        if(!found) {
-			            if(iter == 0) {
-			            	jsfeat.cache.put_buffer(m_buff);
-			            	jsfeat.cache.put_buffer(ms_buff);
-			            	jsfeat.cache.put_buffer(err_buff);
-			                return false;
-			            }
-			            break;
-			        }
-
-			        nmodels = kernel.run( subset0, subset1, M, model_points );
-			        if(nmodels <= 0)
-			            continue;
-
-			        // TODO handle multimodel output
-
-			        numinliers = find_inliers(kernel, M, from, to, count, params.thresh, err, curr_mask.data);
-
-			        if( numinliers > Math.max(inliers_max, model_points-1) ) {
-			            M.copy_to(model);
-			            inliers_max = numinliers;
-			            if(mask) curr_mask.copy_to(mask);
-			            niters = params.update_iters((count - numinliers)/count, niters);
-			            result = true;
-			        }
-			    }
-
-			    jsfeat.cache.put_buffer(m_buff);
-			    jsfeat.cache.put_buffer(ms_buff);
-			    jsfeat.cache.put_buffer(err_buff);
-
-			    return result;
-    		},
-
-    		lmeds: function(params, kernel, from, to, count, model, mask, max_iters) {
-    			if (typeof max_iters === "undefined") { max_iters=1000; }
-
-    			if(count < params.size) return false;
-
-    			var model_points = params.size;
-			    var niters = max_iters, iter=0;
-			    var result = false;
-
-			    var subset0 = [];
-			    var subset1 = [];
-			    var found = false;
-
-			    var mc=model.cols,mr=model.rows;
-                var dt = model.type | jsfeat.C1_t;
-
-			    var m_buff = jsfeat.cache.get_buffer((mc*mr)<<3);
-			    var ms_buff = jsfeat.cache.get_buffer(count);
-			    var err_buff = jsfeat.cache.get_buffer(count<<2);
-			    var M = new jsfeat.matrix_t(mc, mr, dt, m_buff.data);
-			    var curr_mask = new jsfeat.matrix_t(count, 1, jsfeat.U8_t|jsfeat.C1_t, ms_buff.data);
-
-			    var numinliers=0;
-			    var nmodels = 0;
-
-			    var err = err_buff.f32;
-			    var min_median = 1000000000.0, sigma=0.0, median=0.0;
-
-			    params.eps = 0.45;
-			    niters = params.update_iters(params.eps, niters);
-
-			    // special case
-			    if(count == model_points) {
-			        if(kernel.run(from, to, M, count) <= 0) {
-			        	jsfeat.cache.put_buffer(m_buff);
-			        	jsfeat.cache.put_buffer(ms_buff);
-			        	jsfeat.cache.put_buffer(err_buff);
-			        	return false;
-			        }
-
-			        M.copy_to(model);
-			        if(mask) {
-			        	while(--count >= 0) {
-			        		mask.data[count] = 1;
-			        	}
-			        }
-			        jsfeat.cache.put_buffer(m_buff);
-			        jsfeat.cache.put_buffer(ms_buff);
-			        jsfeat.cache.put_buffer(err_buff);
-			        return true;
-			    }
-
-			    for (; iter < niters; ++iter) {
-			        // generate subset
-			        found = get_subset(kernel, from, to, model_points, count, subset0, subset1);
-			        if(!found) {
-			            if(iter == 0) {
-			            	jsfeat.cache.put_buffer(m_buff);
-			            	jsfeat.cache.put_buffer(ms_buff);
-			            	jsfeat.cache.put_buffer(err_buff);
-			                return false;
-			            }
-			            break;
-			        }
-
-			        nmodels = kernel.run( subset0, subset1, M, model_points );
-			        if(nmodels <= 0)
-			            continue;
-
-			        // TODO handle multimodel output
-
-			        kernel.error(from, to, M, err, count);
-			        median = jsfeat.math.median(err, 0, count-1);
-
-			        if(median < min_median) {
-			            min_median = median;
-			            M.copy_to(model);
-			            result = true;
-			        }
-			    }
-
-			    if(result) {
-			        sigma = 2.5*1.4826*(1 + 5.0/(count - model_points))*Math.sqrt(min_median);
-			        sigma = Math.max(sigma, 0.001);
-
-			        numinliers = find_inliers(kernel, model, from, to, count, sigma, err, curr_mask.data);
-			        if(mask) curr_mask.copy_to(mask);
-			        
-			        result = numinliers >= model_points;
-			    }
-
-			    jsfeat.cache.put_buffer(m_buff);
-			    jsfeat.cache.put_buffer(ms_buff);
-			    jsfeat.cache.put_buffer(err_buff);
-
-			    return result;
-    		}
-
-    	};
-
-    })();
-
-    global.ransac_params_t = ransac_params_t;
-    global.motion_model = motion_model;
-    global.motion_estimator = motion_estimator;
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- */
-
-(function(global) {
-    "use strict";
-    //
-
-    var imgproc = (function() {
-
-        var _resample_u8 = function(src, dst, nw, nh) {
-            var xofs_count=0;
-            var ch=src.channel,w=src.cols,h=src.rows;
-            var src_d=src.data,dst_d=dst.data;
-            var scale_x = w / nw, scale_y = h / nh;
-            var inv_scale_256 = (scale_x * scale_y * 0x10000)|0;
-            var dx=0,dy=0,sx=0,sy=0,sx1=0,sx2=0,i=0,k=0,fsx1=0.0,fsx2=0.0;
-            var a=0,b=0,dxn=0,alpha=0,beta=0,beta1=0;
-
-            var buf_node = jsfeat.cache.get_buffer((nw*ch)<<2);
-            var sum_node = jsfeat.cache.get_buffer((nw*ch)<<2);
-            var xofs_node = jsfeat.cache.get_buffer((w*2*3)<<2);
-
-            var buf = buf_node.i32;
-            var sum = sum_node.i32;
-            var xofs = xofs_node.i32;
-
-            for (; dx < nw; dx++) {
-                fsx1 = dx * scale_x, fsx2 = fsx1 + scale_x;
-                sx1 = (fsx1 + 1.0 - 1e-6)|0, sx2 = fsx2|0;
-                sx1 = Math.min(sx1, w - 1);
-                sx2 = Math.min(sx2, w - 1);
-
-                if(sx1 > fsx1) {
-                    xofs[k++] = (dx * ch)|0;
-                    xofs[k++] = ((sx1 - 1)*ch)|0; 
-                    xofs[k++] = ((sx1 - fsx1) * 0x100)|0;
-                    xofs_count++;
-                }
-                for(sx = sx1; sx < sx2; sx++){
-                    xofs_count++;
-                    xofs[k++] = (dx * ch)|0;
-                    xofs[k++] = (sx * ch)|0;
-                    xofs[k++] = 256;
-                }
-                if(fsx2 - sx2 > 1e-3) {
-                    xofs_count++;
-                    xofs[k++] = (dx * ch)|0;
-                    xofs[k++] = (sx2 * ch)|0;
-                    xofs[k++] = ((fsx2 - sx2) * 256)|0;
-                }
-            }
-
-            for (dx = 0; dx < nw * ch; dx++) {
-                buf[dx] = sum[dx] = 0;
-            }
-            dy = 0;
-            for (sy = 0; sy < h; sy++) {
-                a = w * sy;
-                for (k = 0; k < xofs_count; k++) {
-                    dxn = xofs[k*3];
-                    sx1 = xofs[k*3+1];
-                    alpha = xofs[k*3+2];
-                    for (i = 0; i < ch; i++) {
-                        buf[dxn + i] += src_d[a+sx1+i] * alpha;
-                    }
-                }
-                if ((dy + 1) * scale_y <= sy + 1 || sy == h - 1) {
-                    beta = (Math.max(sy + 1 - (dy + 1) * scale_y, 0.0) * 256)|0;
-                    beta1 = 256 - beta;
-                    b = nw * dy;
-                    if (beta <= 0) {
-                        for (dx = 0; dx < nw * ch; dx++) {
-                            dst_d[b+dx] = Math.min(Math.max((sum[dx] + buf[dx] * 256) / inv_scale_256, 0), 255);
-                            sum[dx] = buf[dx] = 0;
-                        }
-                    } else {
-                        for (dx = 0; dx < nw * ch; dx++) {
-                            dst_d[b+dx] = Math.min(Math.max((sum[dx] + buf[dx] * beta1) / inv_scale_256, 0), 255);
-                            sum[dx] = buf[dx] * beta;
-                            buf[dx] = 0;
-                        }
-                    }
-                    dy++;
-                } else {
-                    for(dx = 0; dx < nw * ch; dx++) {
-                        sum[dx] += buf[dx] * 256;
-                        buf[dx] = 0;
-                    }
-                }
-            }
-
-            jsfeat.cache.put_buffer(sum_node);
-            jsfeat.cache.put_buffer(buf_node);
-            jsfeat.cache.put_buffer(xofs_node);
-        };
-
-        var _resample = function(src, dst, nw, nh) {
-            var xofs_count=0;
-            var ch=src.channel,w=src.cols,h=src.rows;
-            var src_d=src.data,dst_d=dst.data;
-            var scale_x = w / nw, scale_y = h / nh;
-            var scale = 1.0 / (scale_x * scale_y);
-            var dx=0,dy=0,sx=0,sy=0,sx1=0,sx2=0,i=0,k=0,fsx1=0.0,fsx2=0.0;
-            var a=0,b=0,dxn=0,alpha=0.0,beta=0.0,beta1=0.0;
-
-            var buf_node = jsfeat.cache.get_buffer((nw*ch)<<2);
-            var sum_node = jsfeat.cache.get_buffer((nw*ch)<<2);
-            var xofs_node = jsfeat.cache.get_buffer((w*2*3)<<2);
-
-            var buf = buf_node.f32;
-            var sum = sum_node.f32;
-            var xofs = xofs_node.f32;
-
-            for (; dx < nw; dx++) {
-                fsx1 = dx * scale_x, fsx2 = fsx1 + scale_x;
-                sx1 = (fsx1 + 1.0 - 1e-6)|0, sx2 = fsx2|0;
-                sx1 = Math.min(sx1, w - 1);
-                sx2 = Math.min(sx2, w - 1);
-
-                if(sx1 > fsx1) {
-                    xofs_count++;
-                    xofs[k++] = ((sx1 - 1)*ch)|0;
-                    xofs[k++] = (dx * ch)|0;
-                    xofs[k++] = (sx1 - fsx1) * scale;
-                }
-                for(sx = sx1; sx < sx2; sx++){
-                    xofs_count++;
-                    xofs[k++] = (sx * ch)|0;
-                    xofs[k++] = (dx * ch)|0; 
-                    xofs[k++] = scale;
-                }
-                if(fsx2 - sx2 > 1e-3) {
-                    xofs_count++;
-                    xofs[k++] = (sx2 * ch)|0;
-                    xofs[k++] = (dx * ch)|0;
-                    xofs[k++] = (fsx2 - sx2) * scale;
-                }
-            }
-
-            for (dx = 0; dx < nw * ch; dx++) {
-                buf[dx] = sum[dx] = 0;
-            }
-            dy = 0;
-            for (sy = 0; sy < h; sy++) {
-                a = w * sy;
-                for (k = 0; k < xofs_count; k++) {
-                    sx1 = xofs[k*3]|0;
-                    dxn = xofs[k*3+1]|0;
-                    alpha = xofs[k*3+2];
-                    for (i = 0; i < ch; i++) {
-                        buf[dxn + i] += src_d[a+sx1+i] * alpha;
-                    }
-                }
-                if ((dy + 1) * scale_y <= sy + 1 || sy == h - 1) {
-                    beta = Math.max(sy + 1 - (dy + 1) * scale_y, 0.0);
-                    beta1 = 1.0 - beta;
-                    b = nw * dy;
-                    if (Math.abs(beta) < 1e-3) {
-                        for (dx = 0; dx < nw * ch; dx++) {
-                            dst_d[b+dx] = sum[dx] + buf[dx];
-                            sum[dx] = buf[dx] = 0;
-                        }
-                    } else {
-                        for (dx = 0; dx < nw * ch; dx++) {
-                            dst_d[b+dx] = sum[dx] + buf[dx] * beta1;
-                            sum[dx] = buf[dx] * beta;
-                            buf[dx] = 0;
-                        }
-                    }
-                    dy++;
-                } else {
-                    for(dx = 0; dx < nw * ch; dx++) {
-                        sum[dx] += buf[dx]; 
-                        buf[dx] = 0;
-                    }
-                }
-            }
-            jsfeat.cache.put_buffer(sum_node);
-            jsfeat.cache.put_buffer(buf_node);
-            jsfeat.cache.put_buffer(xofs_node);
-        };
-
-        var _convol_u8 = function(buf, src_d, dst_d, w, h, filter, kernel_size, half_kernel) {
-            var i=0,j=0,k=0,sp=0,dp=0,sum=0,sum1=0,sum2=0,sum3=0,f0=filter[0],fk=0;
-            var w2=w<<1,w3=w*3,w4=w<<2;
-            // hor pass
-            for (; i < h; ++i) { 
-                sum = src_d[sp];
-                for (j = 0; j < half_kernel; ++j) {
-                    buf[j] = sum;
-                }
-                for (j = 0; j <= w-2; j+=2) {
-                    buf[j + half_kernel] = src_d[sp+j];
-                    buf[j + half_kernel+1] = src_d[sp+j+1];
-                }
-                for (; j < w; ++j) {
-                    buf[j + half_kernel] = src_d[sp+j];
-                }
-                sum = src_d[sp+w-1];
-                for (j = w; j < half_kernel + w; ++j) {
-                    buf[j + half_kernel] = sum;
-                }
-                for (j = 0; j <= w-4; j+=4) {
-                    sum = buf[j] * f0, 
-                    sum1 = buf[j+1] * f0,
-                    sum2 = buf[j+2] * f0,
-                    sum3 = buf[j+3] * f0;
-                    for (k = 1; k < kernel_size; ++k) {
-                        fk = filter[k];
-                        sum += buf[k + j] * fk;
-                        sum1 += buf[k + j+1] * fk;
-                        sum2 += buf[k + j+2] * fk;
-                        sum3 += buf[k + j+3] * fk;
-                    }
-                    dst_d[dp+j] = Math.min(sum >> 8, 255);
-                    dst_d[dp+j+1] = Math.min(sum1 >> 8, 255);
-                    dst_d[dp+j+2] = Math.min(sum2 >> 8, 255);
-                    dst_d[dp+j+3] = Math.min(sum3 >> 8, 255);
-                }
-                for (; j < w; ++j) {
-                    sum = buf[j] * f0;
-                    for (k = 1; k < kernel_size; ++k) {
-                        sum += buf[k + j] * filter[k];
-                    }
-                    dst_d[dp+j] = Math.min(sum >> 8, 255);
-                }
-                sp += w;
-                dp += w;
-            }
-
-            // vert pass
-            for (i = 0; i < w; ++i) {
-                sum = dst_d[i];
-                for (j = 0; j < half_kernel; ++j) {
-                    buf[j] = sum;
-                }
-                k = i;
-                for (j = 0; j <= h-2; j+=2, k+=w2) {
-                    buf[j+half_kernel] = dst_d[k];
-                    buf[j+half_kernel+1] = dst_d[k+w];
-                }
-                for (; j < h; ++j, k+=w) {
-                    buf[j+half_kernel] = dst_d[k];
-                }
-                sum = dst_d[(h-1)*w + i];
-                for (j = h; j < half_kernel + h; ++j) {
-                    buf[j + half_kernel] = sum;
-                }
-                dp = i;
-                for (j = 0; j <= h-4; j+=4, dp+=w4) { 
-                    sum = buf[j] * f0, 
-                    sum1 = buf[j+1] * f0,
-                    sum2 = buf[j+2] * f0,
-                    sum3 = buf[j+3] * f0;
-                    for (k = 1; k < kernel_size; ++k) {
-                        fk = filter[k];
-                        sum += buf[k + j] * fk;
-                        sum1 += buf[k + j+1] * fk;
-                        sum2 += buf[k + j+2] * fk;
-                        sum3 += buf[k + j+3] * fk;
-                    }
-                    dst_d[dp] = Math.min(sum >> 8, 255);
-                    dst_d[dp+w] = Math.min(sum1 >> 8, 255);
-                    dst_d[dp+w2] = Math.min(sum2 >> 8, 255);
-                    dst_d[dp+w3] = Math.min(sum3 >> 8, 255);
-                }
-                for (; j < h; ++j, dp+=w) {
-                    sum = buf[j] * f0;
-                    for (k = 1; k < kernel_size; ++k) {
-                        sum += buf[k + j] * filter[k];
-                    }
-                    dst_d[dp] = Math.min(sum >> 8, 255);
-                }
-            }
-        };
-
-        var _convol = function(buf, src_d, dst_d, w, h, filter, kernel_size, half_kernel) {
-            var i=0,j=0,k=0,sp=0,dp=0,sum=0.0,sum1=0.0,sum2=0.0,sum3=0.0,f0=filter[0],fk=0.0;
-            var w2=w<<1,w3=w*3,w4=w<<2;
-            // hor pass
-            for (; i < h; ++i) { 
-                sum = src_d[sp];
-                for (j = 0; j < half_kernel; ++j) {
-                    buf[j] = sum;
-                }
-                for (j = 0; j <= w-2; j+=2) {
-                    buf[j + half_kernel] = src_d[sp+j];
-                    buf[j + half_kernel+1] = src_d[sp+j+1];
-                }
-                for (; j < w; ++j) {
-                    buf[j + half_kernel] = src_d[sp+j];
-                }
-                sum = src_d[sp+w-1];
-                for (j = w; j < half_kernel + w; ++j) {
-                    buf[j + half_kernel] = sum;
-                }
-                for (j = 0; j <= w-4; j+=4) {
-                    sum = buf[j] * f0, 
-                    sum1 = buf[j+1] * f0,
-                    sum2 = buf[j+2] * f0,
-                    sum3 = buf[j+3] * f0;
-                    for (k = 1; k < kernel_size; ++k) {
-                        fk = filter[k];
-                        sum += buf[k + j] * fk;
-                        sum1 += buf[k + j+1] * fk;
-                        sum2 += buf[k + j+2] * fk;
-                        sum3 += buf[k + j+3] * fk;
-                    }
-                    dst_d[dp+j] = sum;
-                    dst_d[dp+j+1] = sum1;
-                    dst_d[dp+j+2] = sum2;
-                    dst_d[dp+j+3] = sum3;
-                }
-                for (; j < w; ++j) {
-                    sum = buf[j] * f0;
-                    for (k = 1; k < kernel_size; ++k) {
-                        sum += buf[k + j] * filter[k];
-                    }
-                    dst_d[dp+j] = sum;
-                }
-                sp += w;
-                dp += w;
-            }
-
-            // vert pass
-            for (i = 0; i < w; ++i) {
-                sum = dst_d[i];
-                for (j = 0; j < half_kernel; ++j) {
-                    buf[j] = sum;
-                }
-                k = i;
-                for (j = 0; j <= h-2; j+=2, k+=w2) {
-                    buf[j+half_kernel] = dst_d[k];
-                    buf[j+half_kernel+1] = dst_d[k+w];
-                }
-                for (; j < h; ++j, k+=w) {
-                    buf[j+half_kernel] = dst_d[k];
-                }
-                sum = dst_d[(h-1)*w + i];
-                for (j = h; j < half_kernel + h; ++j) {
-                    buf[j + half_kernel] = sum;
-                }
-                dp = i;
-                for (j = 0; j <= h-4; j+=4, dp+=w4) { 
-                    sum = buf[j] * f0, 
-                    sum1 = buf[j+1] * f0,
-                    sum2 = buf[j+2] * f0,
-                    sum3 = buf[j+3] * f0;
-                    for (k = 1; k < kernel_size; ++k) {
-                        fk = filter[k];
-                        sum += buf[k + j] * fk;
-                        sum1 += buf[k + j+1] * fk;
-                        sum2 += buf[k + j+2] * fk;
-                        sum3 += buf[k + j+3] * fk;
-                    }
-                    dst_d[dp] = sum;
-                    dst_d[dp+w] = sum1;
-                    dst_d[dp+w2] = sum2;
-                    dst_d[dp+w3] = sum3;
-                }
-                for (; j < h; ++j, dp+=w) {
-                    sum = buf[j] * f0;
-                    for (k = 1; k < kernel_size; ++k) {
-                        sum += buf[k + j] * filter[k];
-                    }
-                    dst_d[dp] = sum;
-                }
-            }
-        };
-
-        return {
-            // TODO: add support for RGB/BGR order
-            // for raw arrays
-            grayscale: function(src, w, h, dst, code) {
-                // this is default image data representation in browser
-                if (typeof code === "undefined") { code = jsfeat.COLOR_RGBA2GRAY; }
-                var x=0, y=0, i=0, j=0, ir=0,jr=0;
-                var coeff_r = 4899, coeff_g = 9617, coeff_b = 1868, cn = 4;
-
-                if(code == jsfeat.COLOR_BGRA2GRAY || code == jsfeat.COLOR_BGR2GRAY) {
-                    coeff_r = 1868;
-                    coeff_b = 4899;
-                }
-                if(code == jsfeat.COLOR_RGB2GRAY || code == jsfeat.COLOR_BGR2GRAY) {
-                    cn = 3;
-                }
-                var cn2 = cn<<1, cn3 = (cn*3)|0;
-
-                dst.resize(w, h, 1);
-                var dst_u8 = dst.data;
-
-                for(y = 0; y < h; ++y, j+=w, i+=w*cn) {
-                    for(x = 0, ir = i, jr = j; x <= w-4; x+=4, ir+=cn<<2, jr+=4) {
-                        dst_u8[jr]     = (src[ir] * coeff_r + src[ir+1] * coeff_g + src[ir+2] * coeff_b + 8192) >> 14;
-                        dst_u8[jr + 1] = (src[ir+cn] * coeff_r + src[ir+cn+1] * coeff_g + src[ir+cn+2] * coeff_b + 8192) >> 14;
-                        dst_u8[jr + 2] = (src[ir+cn2] * coeff_r + src[ir+cn2+1] * coeff_g + src[ir+cn2+2] * coeff_b + 8192) >> 14;
-                        dst_u8[jr + 3] = (src[ir+cn3] * coeff_r + src[ir+cn3+1] * coeff_g + src[ir+cn3+2] * coeff_b + 8192) >> 14;
-                    }
-                    for (; x < w; ++x, ++jr, ir+=cn) {
-                        dst_u8[jr] = (src[ir] * coeff_r + src[ir+1] * coeff_g + src[ir+2] * coeff_b + 8192) >> 14;
-                    }
-                }
-            },
-            // derived from CCV library
-            resample: function(src, dst, nw, nh) {
-                var h=src.rows,w=src.cols;
-                if (h > nh && w > nw) {
-                    dst.resize(nw, nh, src.channel);
-                    // using the fast alternative (fix point scale, 0x100 to avoid overflow)
-                    if (src.type&jsfeat.U8_t && dst.type&jsfeat.U8_t && h * w / (nh * nw) < 0x100) {
-                        _resample_u8(src, dst, nw, nh);
-                    } else {
-                        _resample(src, dst, nw, nh);
-                    }
-                }
-            },
-
-            box_blur_gray: function(src, dst, radius, options) {
-                if (typeof options === "undefined") { options = 0; }
-                var w=src.cols, h=src.rows, h2=h<<1, w2=w<<1;
-                var i=0,x=0,y=0,end=0;
-                var windowSize = ((radius << 1) + 1)|0;
-                var radiusPlusOne = (radius + 1)|0, radiusPlus2 = (radiusPlusOne+1)|0;
-                var scale = options&jsfeat.BOX_BLUR_NOSCALE ? 1 : (1.0 / (windowSize*windowSize));
-
-                var tmp_buff = jsfeat.cache.get_buffer((w*h)<<2);
-
-                var sum=0, dstIndex=0, srcIndex = 0, nextPixelIndex=0, previousPixelIndex=0;
-                var data_i32 = tmp_buff.i32; // to prevent overflow
-                var data_u8 = src.data;
-                var hold=0;
-
-                dst.resize(w, h, src.channel);
-
-                // first pass
-                // no need to scale 
-                //data_u8 = src.data;
-                //data_i32 = tmp;
-                for (y = 0; y < h; ++y) {
-                    dstIndex = y;
-                    sum = radiusPlusOne * data_u8[srcIndex];
-
-                    for(i = (srcIndex+1)|0, end=(srcIndex+radius)|0; i <= end; ++i) {
-                        sum += data_u8[i];
-                    }
-
-                    nextPixelIndex = (srcIndex + radiusPlusOne)|0;
-                    previousPixelIndex = srcIndex;
-                    hold = data_u8[previousPixelIndex];
-                    for(x = 0; x < radius; ++x, dstIndex += h) {
-                        data_i32[dstIndex] = sum;
-                        sum += data_u8[nextPixelIndex]- hold;
-                        nextPixelIndex ++;
-                    }
-                    for(; x < w-radiusPlus2; x+=2, dstIndex += h2) {
-                        data_i32[dstIndex] = sum;
-                        sum += data_u8[nextPixelIndex]- data_u8[previousPixelIndex];
-
-                        data_i32[dstIndex+h] = sum;
-                        sum += data_u8[nextPixelIndex+1]- data_u8[previousPixelIndex+1];
-
-                        nextPixelIndex +=2;
-                        previousPixelIndex +=2;
-                    }
-                    for(; x < w-radiusPlusOne; ++x, dstIndex += h) {
-                        data_i32[dstIndex] = sum;
-                        sum += data_u8[nextPixelIndex]- data_u8[previousPixelIndex];
-
-                        nextPixelIndex ++;
-                        previousPixelIndex ++;
-                    }
-                    
-                    hold = data_u8[nextPixelIndex-1];
-                    for(; x < w; ++x, dstIndex += h) {
-                        data_i32[dstIndex] = sum;
-
-                        sum += hold- data_u8[previousPixelIndex];
-                        previousPixelIndex ++;
-                    }
-
-                    srcIndex += w;
-                }
-                //
-                // second pass
-                srcIndex = 0;
-                //data_i32 = tmp; // this is a transpose
-                data_u8 = dst.data;
-
-                // dont scale result
-                if(scale == 1) {
-                    for (y = 0; y < w; ++y) {
-                        dstIndex = y;
-                        sum = radiusPlusOne * data_i32[srcIndex];
-
-                        for(i = (srcIndex+1)|0, end=(srcIndex+radius)|0; i <= end; ++i) {
-                            sum += data_i32[i];
-                        }
-
-                        nextPixelIndex = srcIndex + radiusPlusOne;
-                        previousPixelIndex = srcIndex;
-                        hold = data_i32[previousPixelIndex];
-
-                        for(x = 0; x < radius; ++x, dstIndex += w) {
-                            data_u8[dstIndex] = sum;
-                            sum += data_i32[nextPixelIndex]- hold;
-                            nextPixelIndex ++;
-                        }
-                        for(; x < h-radiusPlus2; x+=2, dstIndex += w2) {
-                            data_u8[dstIndex] = sum;
-                            sum += data_i32[nextPixelIndex]- data_i32[previousPixelIndex];
-
-                            data_u8[dstIndex+w] = sum;
-                            sum += data_i32[nextPixelIndex+1]- data_i32[previousPixelIndex+1];
-
-                            nextPixelIndex +=2;
-                            previousPixelIndex +=2;
-                        }
-                        for(; x < h-radiusPlusOne; ++x, dstIndex += w) {
-                            data_u8[dstIndex] = sum;
-
-                            sum += data_i32[nextPixelIndex]- data_i32[previousPixelIndex];
-                            nextPixelIndex ++;
-                            previousPixelIndex ++;
-                        }
-                        hold = data_i32[nextPixelIndex-1];
-                        for(; x < h; ++x, dstIndex += w) {
-                            data_u8[dstIndex] = sum;
-
-                            sum += hold- data_i32[previousPixelIndex];
-                            previousPixelIndex ++;
-                        }
-
-                        srcIndex += h;
-                    }
-                } else {
-                    for (y = 0; y < w; ++y) {
-                        dstIndex = y;
-                        sum = radiusPlusOne * data_i32[srcIndex];
-
-                        for(i = (srcIndex+1)|0, end=(srcIndex+radius)|0; i <= end; ++i) {
-                            sum += data_i32[i];
-                        }
-
-                        nextPixelIndex = srcIndex + radiusPlusOne;
-                        previousPixelIndex = srcIndex;
-                        hold = data_i32[previousPixelIndex];
-
-                        for(x = 0; x < radius; ++x, dstIndex += w) {
-                            data_u8[dstIndex] = sum*scale;
-                            sum += data_i32[nextPixelIndex]- hold;
-                            nextPixelIndex ++;
-                        }
-                        for(; x < h-radiusPlus2; x+=2, dstIndex += w2) {
-                            data_u8[dstIndex] = sum*scale;
-                            sum += data_i32[nextPixelIndex]- data_i32[previousPixelIndex];
-
-                            data_u8[dstIndex+w] = sum*scale;
-                            sum += data_i32[nextPixelIndex+1]- data_i32[previousPixelIndex+1];
-
-                            nextPixelIndex +=2;
-                            previousPixelIndex +=2;
-                        }
-                        for(; x < h-radiusPlusOne; ++x, dstIndex += w) {
-                            data_u8[dstIndex] = sum*scale;
-
-                            sum += data_i32[nextPixelIndex]- data_i32[previousPixelIndex];
-                            nextPixelIndex ++;
-                            previousPixelIndex ++;
-                        }
-                        hold = data_i32[nextPixelIndex-1];
-                        for(; x < h; ++x, dstIndex += w) {
-                            data_u8[dstIndex] = sum*scale;
-
-                            sum += hold- data_i32[previousPixelIndex];
-                            previousPixelIndex ++;
-                        }
-
-                        srcIndex += h;
-                    }
-                }
-
-                jsfeat.cache.put_buffer(tmp_buff);
-            },
-
-            gaussian_blur: function(src, dst, kernel_size, sigma) {
-                if (typeof sigma === "undefined") { sigma = 0.0; }
-                if (typeof kernel_size === "undefined") { kernel_size = 0; }
-                kernel_size = kernel_size == 0 ? (Math.max(1, (4.0 * sigma + 1.0 - 1e-8)) * 2 + 1)|0 : kernel_size;
-                var half_kernel = kernel_size >> 1;
-                var w = src.cols, h = src.rows;
-                var data_type = src.type, is_u8 = data_type&jsfeat.U8_t;
-
-                dst.resize(w, h, src.channel);
-
-                var src_d = src.data, dst_d = dst.data;
-                var buf,filter,buf_sz=(kernel_size + Math.max(h, w))|0;
-
-                var buf_node = jsfeat.cache.get_buffer(buf_sz<<2);
-                var filt_node = jsfeat.cache.get_buffer(kernel_size<<2);
-
-                if(is_u8) {
-                    buf = buf_node.i32;
-                    filter = filt_node.i32;
-                } else if(data_type&jsfeat.S32_t) {
-                    buf = buf_node.i32;
-                    filter = filt_node.f32;
-                } else {
-                    buf = buf_node.f32;
-                    filter = filt_node.f32;
-                }
-
-                jsfeat.math.get_gaussian_kernel(kernel_size, sigma, filter, data_type);
-
-                if(is_u8) {
-                    _convol_u8(buf, src_d, dst_d, w, h, filter, kernel_size, half_kernel);
-                } else {
-                    _convol(buf, src_d, dst_d, w, h, filter, kernel_size, half_kernel);
-                }
-
-                jsfeat.cache.put_buffer(buf_node);
-                jsfeat.cache.put_buffer(filt_node);
-            },
-            hough_transform: function( img, rho_res, theta_res, threshold ) {
-                var image = img.data;
-
-                var width = img.cols;
-                var height = img.rows;
-                var step = width;
-
-                min_theta = 0.0;
-                max_theta = Math.PI;
-
-                numangle = Math.round((max_theta - min_theta) / theta_res);
-                numrho = Math.round(((width + height) * 2 + 1) / rho_res);
-                irho = 1.0 / rho_res;
-
-                var accum = new Int32Array((numangle+2) * (numrho+2)); //typed arrays are initialized to 0
-                var tabSin = new Float32Array(numangle);
-                var tabCos = new Float32Array(numangle);
-
-                var n=0;
-                var ang = min_theta;
-                for(; n < numangle; n++ ) {
-                    tabSin[n] = Math.sin(ang) * irho;
-                    tabCos[n] = Math.cos(ang) * irho;
-                    ang += theta_res;
-                }
-
-                // stage 1. fill accumulator
-                for( var i = 0; i < height; i++ ) {
-                    for( var j = 0; j < width; j++ ) {
-                        if( image[i * step + j] != 0 ) {
-                            //console.log(r, (n+1) * (numrho+2) + r+1, tabCos[n], tabSin[n]);
-                            for(var n = 0; n < numangle; n++ ) {
-                                var r = Math.round( j * tabCos[n] + i * tabSin[n] );
-                                r += (numrho - 1) / 2;
-                                accum[(n+1) * (numrho+2) + r+1] += 1;
-                            }
-                        }
-                    }
-                }
-
-                // stage 2. find local maximums
-                //TODO: Consider making a vector class that uses typed arrays
-                _sort_buf = new Array();
-                for(var r = 0; r < numrho; r++ ) {
-                    for(var n = 0; n < numangle; n++ ) {
-                        var base = (n+1) * (numrho+2) + r+1;
-                        if( accum[base] > threshold &&
-                            accum[base] > accum[base - 1] && accum[base] >= accum[base + 1] &&
-                            accum[base] > accum[base - numrho - 2] && accum[base] >= accum[base + numrho + 2] ) {
-                            _sort_buf.push(base);
-                        }
-                    }
-                }
-
-                // stage 3. sort the detected lines by accumulator value
-                _sort_buf.sort(function(l1, l2) {
-                    return accum[l1] > accum[l2] || (accum[l1] == accum[l2] && l1 < l2);
-                });
-
-                // stage 4. store the first min(total,linesMax) lines to the output buffer
-                linesMax = Math.min(numangle*numrho, _sort_buf.length);
-                scale = 1.0 / (numrho+2);
-                lines = new Array();
-                for( var i = 0; i < linesMax; i++ ) {
-                    var idx = _sort_buf[i];
-                    var n = Math.floor(idx*scale) - 1;
-                    var r = idx - (n+1)*(numrho+2) - 1;
-                    var lrho = (r - (numrho - 1)*0.5) * rho_res;
-                    var langle = n * theta_res;
-                    lines.push([lrho, langle]);
-                }
-                return lines;
-            },
-            // assume we always need it for u8 image
-            pyrdown: function(src, dst, sx, sy) {
-                // this is needed for bbf
-                if (typeof sx === "undefined") { sx = 0; }
-                if (typeof sy === "undefined") { sy = 0; }
-
-                var w = src.cols, h = src.rows;
-                var w2 = w >> 1, h2 = h >> 1;
-                var _w2 = w2 - (sx << 1), _h2 = h2 - (sy << 1);
-                var x=0,y=0,sptr=sx+sy*w,sline=0,dptr=0,dline=0;
-
-                dst.resize(w2, h2, src.channel);
-
-                var src_d = src.data, dst_d = dst.data;
-
-                for(y = 0; y < _h2; ++y) {
-                    sline = sptr;
-                    dline = dptr;
-                    for(x = 0; x <= _w2-2; x+=2, dline+=2, sline += 4) {
-                        dst_d[dline] = (src_d[sline] + src_d[sline+1] +
-                                            src_d[sline+w] + src_d[sline+w+1] + 2) >> 2;
-                        dst_d[dline+1] = (src_d[sline+2] + src_d[sline+3] +
-                                            src_d[sline+w+2] + src_d[sline+w+3] + 2) >> 2;
-                    }
-                    for(; x < _w2; ++x, ++dline, sline += 2) {
-                        dst_d[dline] = (src_d[sline] + src_d[sline+1] +
-                                            src_d[sline+w] + src_d[sline+w+1] + 2) >> 2;
-                    }
-                    sptr += w << 1;
-                    dptr += w2;
-                }
-            },
-
-            // dst: [gx,gy,...]
-            scharr_derivatives: function(src, dst) {
-                var w = src.cols, h = src.rows;
-                var dstep = w<<1,x=0,y=0,x1=0,a,b,c,d,e,f;
-                var srow0=0,srow1=0,srow2=0,drow=0;
-                var trow0,trow1;
-
-                dst.resize(w, h, 2); // 2 channel output gx, gy
-
-                var img = src.data, gxgy=dst.data;
-
-                var buf0_node = jsfeat.cache.get_buffer((w+2)<<2);
-                var buf1_node = jsfeat.cache.get_buffer((w+2)<<2);
-
-                if(src.type&jsfeat.U8_t || src.type&jsfeat.S32_t) {
-                    trow0 = buf0_node.i32;
-                    trow1 = buf1_node.i32;
-                } else {
-                    trow0 = buf0_node.f32;
-                    trow1 = buf1_node.f32;
-                }
-
-                for(; y < h; ++y, srow1+=w) {
-                    srow0 = ((y > 0 ? y-1 : 1)*w)|0;
-                    srow2 = ((y < h-1 ? y+1 : h-2)*w)|0;
-                    drow = (y*dstep)|0;
-                    // do vertical convolution
-                    for(x = 0, x1 = 1; x <= w-2; x+=2, x1+=2) {
-                        a = img[srow0+x], b = img[srow2+x];
-                        trow0[x1] = ( (a + b)*3 + (img[srow1+x])*10 );
-                        trow1[x1] = ( b - a );
-                        //
-                        a = img[srow0+x+1], b = img[srow2+x+1];
-                        trow0[x1+1] = ( (a + b)*3 + (img[srow1+x+1])*10 );
-                        trow1[x1+1] = ( b - a );
-                    }
-                    for(; x < w; ++x, ++x1) {
-                        a = img[srow0+x], b = img[srow2+x];
-                        trow0[x1] = ( (a + b)*3 + (img[srow1+x])*10 );
-                        trow1[x1] = ( b - a );
-                    }
-                    // make border
-                    x = (w + 1)|0;
-                    trow0[0] = trow0[1]; trow0[x] = trow0[w];
-                    trow1[0] = trow1[1]; trow1[x] = trow1[w];
-                    // do horizontal convolution, interleave the results and store them
-                    for(x = 0; x <= w-4; x+=4) {
-                        a = trow1[x+2], b = trow1[x+1], c = trow1[x+3], d = trow1[x+4],
-                        e = trow0[x+2], f = trow0[x+3];
-                        gxgy[drow++] = ( e - trow0[x] );
-                        gxgy[drow++] = ( (a + trow1[x])*3 + b*10 );
-                        gxgy[drow++] = ( f - trow0[x+1] );
-                        gxgy[drow++] = ( (c + b)*3 + a*10 );
-
-                        gxgy[drow++] = ( (trow0[x+4] - e) );
-                        gxgy[drow++] = ( ((d + a)*3 + c*10) );
-                        gxgy[drow++] = ( (trow0[x+5] - f) );
-                        gxgy[drow++] = ( ((trow1[x+5] + c)*3 + d*10) );
-                    }
-                    for(; x < w; ++x) {
-                        gxgy[drow++] = ( (trow0[x+2] - trow0[x]) );
-                        gxgy[drow++] = ( ((trow1[x+2] + trow1[x])*3 + trow1[x+1]*10) );
-                    }
-                }
-                jsfeat.cache.put_buffer(buf0_node);
-                jsfeat.cache.put_buffer(buf1_node);
-            },
-
-            // compute gradient using Sobel kernel [1 2 1] * [-1 0 1]^T
-            // dst: [gx,gy,...]
-            sobel_derivatives: function(src, dst) {
-                var w = src.cols, h = src.rows;
-                var dstep = w<<1,x=0,y=0,x1=0,a,b,c,d,e,f;
-                var srow0=0,srow1=0,srow2=0,drow=0;
-                var trow0,trow1;
-
-                dst.resize(w, h, 2); // 2 channel output gx, gy
-
-                var img = src.data, gxgy=dst.data;
-
-                var buf0_node = jsfeat.cache.get_buffer((w+2)<<2);
-                var buf1_node = jsfeat.cache.get_buffer((w+2)<<2);
-
-                if(src.type&jsfeat.U8_t || src.type&jsfeat.S32_t) {
-                    trow0 = buf0_node.i32;
-                    trow1 = buf1_node.i32;
-                } else {
-                    trow0 = buf0_node.f32;
-                    trow1 = buf1_node.f32;
-                }
-
-                for(; y < h; ++y, srow1+=w) {
-                    srow0 = ((y > 0 ? y-1 : 1)*w)|0;
-                    srow2 = ((y < h-1 ? y+1 : h-2)*w)|0;
-                    drow = (y*dstep)|0;
-                    // do vertical convolution
-                    for(x = 0, x1 = 1; x <= w-2; x+=2, x1+=2) {
-                        a = img[srow0+x], b = img[srow2+x];
-                        trow0[x1] = ( (a + b) + (img[srow1+x]*2) );
-                        trow1[x1] = ( b - a );
-                        //
-                        a = img[srow0+x+1], b = img[srow2+x+1];
-                        trow0[x1+1] = ( (a + b) + (img[srow1+x+1]*2) );
-                        trow1[x1+1] = ( b - a );
-                    }
-                    for(; x < w; ++x, ++x1) {
-                        a = img[srow0+x], b = img[srow2+x];
-                        trow0[x1] = ( (a + b) + (img[srow1+x]*2) );
-                        trow1[x1] = ( b - a );
-                    }
-                    // make border
-                    x = (w + 1)|0;
-                    trow0[0] = trow0[1]; trow0[x] = trow0[w];
-                    trow1[0] = trow1[1]; trow1[x] = trow1[w];
-                    // do horizontal convolution, interleave the results and store them
-                    for(x = 0; x <= w-4; x+=4) {
-                        a = trow1[x+2], b = trow1[x+1], c = trow1[x+3], d = trow1[x+4],
-                        e = trow0[x+2], f = trow0[x+3];
-                        gxgy[drow++] = ( e - trow0[x] );
-                        gxgy[drow++] = ( a + trow1[x] + b*2 );
-                        gxgy[drow++] = ( f - trow0[x+1] );
-                        gxgy[drow++] = ( c + b + a*2 );
-
-                        gxgy[drow++] = ( trow0[x+4] - e );
-                        gxgy[drow++] = ( d + a + c*2 );
-                        gxgy[drow++] = ( trow0[x+5] - f );
-                        gxgy[drow++] = ( trow1[x+5] + c + d*2 );
-                    }
-                    for(; x < w; ++x) {
-                        gxgy[drow++] = ( trow0[x+2] - trow0[x] );
-                        gxgy[drow++] = ( trow1[x+2] + trow1[x] + trow1[x+1]*2 );
-                    }
-                }
-                jsfeat.cache.put_buffer(buf0_node);
-                jsfeat.cache.put_buffer(buf1_node);
-            },
-
-            // please note: 
-            // dst_(type) size should be cols = src.cols+1, rows = src.rows+1
-            compute_integral_image: function(src, dst_sum, dst_sqsum, dst_tilted) {
-                var w0=src.cols|0,h0=src.rows|0,src_d=src.data;
-                var w1=(w0+1)|0;
-                var s=0,s2=0,p=0,pup=0,i=0,j=0,v=0,k=0;
-
-                if(dst_sum && dst_sqsum) {
-                    // fill first row with zeros
-                    for(; i < w1; ++i) {
-                        dst_sum[i] = 0, dst_sqsum[i] = 0;
-                    }
-                    p = (w1+1)|0, pup = 1;
-                    for(i = 0, k = 0; i < h0; ++i, ++p, ++pup) {
-                        s = s2 = 0;
-                        for(j = 0; j <= w0-2; j+=2, k+=2, p+=2, pup+=2) {
-                            v = src_d[k];
-                            s += v, s2 += v*v;
-                            dst_sum[p] = dst_sum[pup] + s;
-                            dst_sqsum[p] = dst_sqsum[pup] + s2;
-
-                            v = src_d[k+1];
-                            s += v, s2 += v*v;
-                            dst_sum[p+1] = dst_sum[pup+1] + s;
-                            dst_sqsum[p+1] = dst_sqsum[pup+1] + s2;
-                        }
-                        for(; j < w0; ++j, ++k, ++p, ++pup) {
-                            v = src_d[k];
-                            s += v, s2 += v*v;
-                            dst_sum[p] = dst_sum[pup] + s;
-                            dst_sqsum[p] = dst_sqsum[pup] + s2;
-                        }
-                    }
-                } else if(dst_sum) {
-                    // fill first row with zeros
-                    for(; i < w1; ++i) {
-                        dst_sum[i] = 0;
-                    }
-                    p = (w1+1)|0, pup = 1;
-                    for(i = 0, k = 0; i < h0; ++i, ++p, ++pup) {
-                        s = 0;
-                        for(j = 0; j <= w0-2; j+=2, k+=2, p+=2, pup+=2) {
-                            s += src_d[k];
-                            dst_sum[p] = dst_sum[pup] + s;
-                            s += src_d[k+1];
-                            dst_sum[p+1] = dst_sum[pup+1] + s;
-                        }
-                        for(; j < w0; ++j, ++k, ++p, ++pup) {
-                            s += src_d[k];
-                            dst_sum[p] = dst_sum[pup] + s;
-                        }
-                    }
-                } else if(dst_sqsum) {
-                    // fill first row with zeros
-                    for(; i < w1; ++i) {
-                        dst_sqsum[i] = 0;
-                    }
-                    p = (w1+1)|0, pup = 1;
-                    for(i = 0, k = 0; i < h0; ++i, ++p, ++pup) {
-                        s2 = 0;
-                        for(j = 0; j <= w0-2; j+=2, k+=2, p+=2, pup+=2) {
-                            v = src_d[k];
-                            s2 += v*v;
-                            dst_sqsum[p] = dst_sqsum[pup] + s2;
-                            v = src_d[k+1];
-                            s2 += v*v;
-                            dst_sqsum[p+1] = dst_sqsum[pup+1] + s2;
-                        }
-                        for(; j < w0; ++j, ++k, ++p, ++pup) {
-                            v = src_d[k];
-                            s2 += v*v;
-                            dst_sqsum[p] = dst_sqsum[pup] + s2;
-                        }
-                    }
-                }
-
-                if(dst_tilted) {
-                    // fill first row with zeros
-                    for(i = 0; i < w1; ++i) {
-                        dst_tilted[i] = 0;
-                    }
-                    // diagonal
-                    p = (w1+1)|0, pup = 0;
-                    for(i = 0, k = 0; i < h0; ++i, ++p, ++pup) {
-                        for(j = 0; j <= w0-2; j+=2, k+=2, p+=2, pup+=2) {
-                            dst_tilted[p] = src_d[k] + dst_tilted[pup];
-                            dst_tilted[p+1] = src_d[k+1] + dst_tilted[pup+1];
-                        }
-                        for(; j < w0; ++j, ++k, ++p, ++pup) {
-                            dst_tilted[p] = src_d[k] + dst_tilted[pup];
-                        }
-                    }
-                    // diagonal
-                    p = (w1+w0)|0, pup = w0;
-                    for(i = 0; i < h0; ++i, p+=w1, pup+=w1) {
-                        dst_tilted[p] += dst_tilted[pup];
-                    }
-
-                    for(j = w0-1; j > 0; --j) {
-                        p = j+h0*w1, pup=p-w1;
-                        for(i = h0; i > 0; --i, p-=w1, pup-=w1) {
-                            dst_tilted[p] += dst_tilted[pup] + dst_tilted[pup+1];
-                        }
-                    }
-                }
-            },
-            equalize_histogram: function(src, dst) {
-                var w=src.cols,h=src.rows,src_d=src.data;
-
-                dst.resize(w, h, src.channel);
-
-                var dst_d=dst.data,size=w*h;
-                var i=0,prev=0,hist0,norm;
-
-                var hist0_node = jsfeat.cache.get_buffer(256<<2);
-                hist0 = hist0_node.i32;
-                for(; i < 256; ++i) hist0[i] = 0;
-                for (i = 0; i < size; ++i) {
-                    ++hist0[src_d[i]];
-                }
-
-                prev = hist0[0];
-                for (i = 1; i < 256; ++i) {
-                    prev = hist0[i] += prev;
-                }
-
-                norm = 255 / size;
-                for (i = 0; i < size; ++i) {
-                    dst_d[i] = (hist0[src_d[i]] * norm + 0.5)|0;
-                }
-                jsfeat.cache.put_buffer(hist0_node);
-            },
-
-            canny: function(src, dst, low_thresh, high_thresh) {
-                var w=src.cols,h=src.rows,src_d=src.data;
-
-                dst.resize(w, h, src.channel);
-                
-                var dst_d=dst.data;
-                var i=0,j=0,grad=0,w2=w<<1,_grad=0,suppress=0,f=0,x=0,y=0,s=0;
-                var tg22x=0,tg67x=0;
-
-                // cache buffers
-                var dxdy_node = jsfeat.cache.get_buffer((h * w2)<<2);
-                var buf_node = jsfeat.cache.get_buffer((3 * (w + 2))<<2);
-                var map_node = jsfeat.cache.get_buffer(((h+2) * (w + 2))<<2);
-                var stack_node = jsfeat.cache.get_buffer((h * w)<<2);
-                
-
-                var buf = buf_node.i32;
-                var map = map_node.i32;
-                var stack = stack_node.i32;
-                var dxdy = dxdy_node.i32;
-                var dxdy_m = new jsfeat.matrix_t(w, h, jsfeat.S32C2_t, dxdy_node.data);
-                var row0=1,row1=(w+2+1)|0,row2=(2*(w+2)+1)|0,map_w=(w+2)|0,map_i=(map_w+1)|0,stack_i=0;
-
-                this.sobel_derivatives(src, dxdy_m);
-
-                if(low_thresh > high_thresh) {
-                    i = low_thresh;
-                    low_thresh = high_thresh;
-                    high_thresh = i;
-                }
-
-                i = (3 * (w + 2))|0;
-                while(--i>=0) {
-                    buf[i] = 0;
-                }
-
-                i = ((h+2) * (w + 2))|0;
-                while(--i>=0) {
-                    map[i] = 0;
-                }
-
-                for (; j < w; ++j, grad+=2) {
-                    //buf[row1+j] = Math.abs(dxdy[grad]) + Math.abs(dxdy[grad+1]);
-                    x = dxdy[grad], y = dxdy[grad+1];
-                    //buf[row1+j] = x*x + y*y;
-                    buf[row1+j] = ((x ^ (x >> 31)) - (x >> 31)) + ((y ^ (y >> 31)) - (y >> 31));
-                }
-
-                for(i=1; i <= h; ++i, grad+=w2) {
-                    if(i == h) {
-                        j = row2+w;
-                        while(--j>=row2) {
-                            buf[j] = 0;
-                        }
-                    } else {
-                        for (j = 0; j < w; j++) {
-                            //buf[row2+j] =  Math.abs(dxdy[grad+(j<<1)]) + Math.abs(dxdy[grad+(j<<1)+1]);
-                            x = dxdy[grad+(j<<1)], y = dxdy[grad+(j<<1)+1];
-                            //buf[row2+j] = x*x + y*y;
-                            buf[row2+j] = ((x ^ (x >> 31)) - (x >> 31)) + ((y ^ (y >> 31)) - (y >> 31));
-                        }
-                    }
-                    _grad = (grad - w2)|0;
-                    map[map_i-1] = 0;
-                    suppress = 0;
-                    for(j = 0; j < w; ++j, _grad+=2) {
-                        f = buf[row1+j];
-                        if (f > low_thresh) {
-                            x = dxdy[_grad];
-                            y = dxdy[_grad+1];
-                            s = x ^ y;
-                            // seems ot be faster than Math.abs
-                            x = ((x ^ (x >> 31)) - (x >> 31))|0;
-                            y = ((y ^ (y >> 31)) - (y >> 31))|0;
-                            //x * tan(22.5) x * tan(67.5) == 2 * x + x * tan(22.5)
-                            tg22x = x * 13573;
-                            tg67x = tg22x + ((x + x) << 15);
-                            y <<= 15;
-                            if (y < tg22x) {
-                                if (f > buf[row1+j-1] && f >= buf[row1+j+1]) {
-                                    if (f > high_thresh && !suppress && map[map_i+j-map_w] != 2) {
-                                        map[map_i+j] = 2;
-                                        suppress = 1;
-                                        stack[stack_i++] = map_i + j;
-                                    } else {
-                                        map[map_i+j] = 1;
-                                    }
-                                    continue;
-                                }
-                            } else if (y > tg67x) {
-                                if (f > buf[row0+j] && f >= buf[row2+j]) {
-                                    if (f > high_thresh && !suppress && map[map_i+j-map_w] != 2) {
-                                        map[map_i+j] = 2;
-                                        suppress = 1;
-                                        stack[stack_i++] = map_i + j;
-                                    } else {
-                                        map[map_i+j] = 1;
-                                    }
-                                    continue;
-                                }
-                            } else {
-                                s = s < 0 ? -1 : 1;
-                                if (f > buf[row0+j-s] && f > buf[row2+j+s]) {
-                                    if (f > high_thresh && !suppress && map[map_i+j-map_w] != 2) {
-                                        map[map_i+j] = 2;
-                                        suppress = 1;
-                                        stack[stack_i++] = map_i + j;
-                                    } else {
-                                        map[map_i+j] = 1;
-                                    }
-                                    continue;
-                                }
-                            }
-                        }
-                        map[map_i+j] = 0;
-                        suppress = 0;
-                    }
-                    map[map_i+w] = 0;
-                    map_i += map_w;
-                    j = row0;
-                    row0 = row1;
-                    row1 = row2;
-                    row2 = j;
-                }
-
-                j = map_i - map_w - 1;
-                for(i = 0; i < map_w; ++i, ++j) {
-                    map[j] = 0;
-                }
-                // path following
-                while(stack_i > 0) {
-                    map_i = stack[--stack_i];
-                    map_i -= map_w+1;
-                    if(map[map_i] == 1) map[map_i] = 2, stack[stack_i++] = map_i;
-                    map_i += 1;
-                    if(map[map_i] == 1) map[map_i] = 2, stack[stack_i++] = map_i;
-                    map_i += 1;
-                    if(map[map_i] == 1) map[map_i] = 2, stack[stack_i++] = map_i;
-                    map_i += map_w;
-                    if(map[map_i] == 1) map[map_i] = 2, stack[stack_i++] = map_i;
-                    map_i -= 2;
-                    if(map[map_i] == 1) map[map_i] = 2, stack[stack_i++] = map_i;
-                    map_i += map_w;
-                    if(map[map_i] == 1) map[map_i] = 2, stack[stack_i++] = map_i;
-                    map_i += 1;
-                    if(map[map_i] == 1) map[map_i] = 2, stack[stack_i++] = map_i;
-                    map_i += 1;
-                    if(map[map_i] == 1) map[map_i] = 2, stack[stack_i++] = map_i;
-                }
-
-                map_i = map_w + 1;
-                row0 = 0;
-                for(i = 0; i < h; ++i, map_i+=map_w) {
-                    for(j = 0; j < w; ++j) {
-                        dst_d[row0++] = (map[map_i+j] == 2) * 0xff;
-                    }
-                }
-
-                // free buffers
-                jsfeat.cache.put_buffer(dxdy_node);
-                jsfeat.cache.put_buffer(buf_node);
-                jsfeat.cache.put_buffer(map_node);
-                jsfeat.cache.put_buffer(stack_node);
-            },
-            // transform is 3x3 matrix_t
-            warp_perspective: function(src, dst, transform, fill_value) {
-                if (typeof fill_value === "undefined") { fill_value = 0; }
-                var src_width=src.cols|0, src_height=src.rows|0, dst_width=dst.cols|0, dst_height=dst.rows|0;
-                var src_d=src.data, dst_d=dst.data;
-                var x=0,y=0,off=0,ixs=0,iys=0,xs=0.0,ys=0.0,xs0=0.0,ys0=0.0,ws=0.0,sc=0.0,a=0.0,b=0.0,p0=0.0,p1=0.0;
-                var td=transform.data;
-                var m00=td[0],m01=td[1],m02=td[2],
-                    m10=td[3],m11=td[4],m12=td[5],
-                    m20=td[6],m21=td[7],m22=td[8];
-
-                for(var dptr = 0; y < dst_height; ++y) {
-                    xs0 = m01 * y + m02,
-                    ys0 = m11 * y + m12,
-                    ws  = m21 * y + m22;
-                    for(x = 0; x < dst_width; ++x, ++dptr, xs0+=m00, ys0+=m10, ws+=m20) {
-                        sc = 1.0 / ws;
-                        xs = xs0 * sc, ys = ys0 * sc;
-                        ixs = xs | 0, iys = ys | 0;
-
-                        if(xs > 0 && ys > 0 && ixs < (src_width - 1) && iys < (src_height - 1)) {
-                            a = Math.max(xs - ixs, 0.0);
-                            b = Math.max(ys - iys, 0.0);
-                            off = (src_width*iys + ixs)|0;
-
-                            p0 = src_d[off] +  a * (src_d[off+1] - src_d[off]);
-                            p1 = src_d[off+src_width] + a * (src_d[off+src_width+1] - src_d[off+src_width]);
-
-                            dst_d[dptr] = p0 + b * (p1 - p0);
-                        }
-                        else dst_d[dptr] = fill_value;
-                    }
-                }
-            },
-            // transform is 3x3 or 2x3 matrix_t only first 6 values referenced
-            warp_affine: function(src, dst, transform, fill_value) {
-                if (typeof fill_value === "undefined") { fill_value = 0; }
-                var src_width=src.cols, src_height=src.rows, dst_width=dst.cols, dst_height=dst.rows;
-                var src_d=src.data, dst_d=dst.data;
-                var x=0,y=0,off=0,ixs=0,iys=0,xs=0.0,ys=0.0,a=0.0,b=0.0,p0=0.0,p1=0.0;
-                var td=transform.data;
-                var m00=td[0],m01=td[1],m02=td[2],
-                    m10=td[3],m11=td[4],m12=td[5];
-
-                for(var dptr = 0; y < dst_height; ++y) {
-                    xs = m01 * y + m02;
-                    ys = m11 * y + m12;
-                    for(x = 0; x < dst_width; ++x, ++dptr, xs+=m00, ys+=m10) {
-                        ixs = xs | 0; iys = ys | 0;
-
-                        if(ixs >= 0 && iys >= 0 && ixs < (src_width - 1) && iys < (src_height - 1)) {
-                            a = xs - ixs;
-                            b = ys - iys;
-                            off = src_width*iys + ixs;
-
-                            p0 = src_d[off] +  a * (src_d[off+1] - src_d[off]);
-                            p1 = src_d[off+src_width] + a * (src_d[off+src_width+1] - src_d[off+src_width]);
-
-                            dst_d[dptr] = p0 + b * (p1 - p0);
-                        }
-                        else dst_d[dptr] = fill_value;
-                    }
-                }
-            },
-            
-            // Basic RGB Skin detection filter
-            // from http://popscan.blogspot.fr/2012/08/skin-detection-in-digital-images.html
-            skindetector: function(src,dst) {
-                var r,g,b,j;
-                var i = src.width*src.height;
-                while(i--){
-                    j = i*4;
-                    r = src.data[j];
-                    g = src.data[j+1];
-                    b = src.data[j+2];
-                    if((r>95)&&(g>40)&&(b>20)
-                     &&(r>g)&&(r>b)
-                     &&(r-Math.min(g,b)>15)
-                     &&(Math.abs(r-g)>15)){
-                         dst[i] = 255;
-                    } else {
-                        dst[i] = 0;
-                    }
-                }                
-            }
-        };
-    })();
-
-    global.imgproc = imgproc;
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- *
- * This is FAST corner detector, contributed to OpenCV by the author, Edward Rosten.
- */
-
-/*
-The references are:
- * Machine learning for high-speed corner detection,
-   E. Rosten and T. Drummond, ECCV 2006
- * Faster and better: A machine learning approach to corner detection
-   E. Rosten, R. Porter and T. Drummond, PAMI, 2009  
-*/
-
-(function(global) {
-    "use strict";
-    //
-    var fast_corners = (function() {
-
-        var offsets16 = new Int32Array([0, 3, 1, 3, 2, 2, 3, 1, 3, 0, 3, -1, 2, -2, 1, -3, 0, -3, -1, -3, -2, -2, -3, -1, -3, 0, -3, 1, -2, 2, -1, 3]);
-
-        var threshold_tab = new Uint8Array(512);
-        var pixel_off = new Int32Array(25);
-        var score_diff = new Int32Array(25);
-
-        // private functions
-        var _cmp_offsets = function(pixel, step, pattern_size) {
-            var k = 0;
-            var offsets = offsets16;
-            for( ; k < pattern_size; ++k ) {
-                pixel[k] = offsets[k<<1] + offsets[(k<<1)+1] * step;
-            }
-            for( ; k < 25; ++k ) {
-                pixel[k] = pixel[k - pattern_size];
-            }
-        },
-
-        _cmp_score_16 = function(src, off, pixel, d, threshold) {
-            var N = 25, k = 0, v = src[off];
-            var a0 = threshold,a=0,b0=0,b=0;
-
-            for( ; k < N; ++k ) {
-                d[k] = v - src[off+pixel[k]];
-            }
-
-            for( k = 0; k < 16; k += 2 ) {
-                a = Math.min(d[k+1], d[k+2]);
-                a = Math.min(a, d[k+3]);
-
-                if( a <= a0 ) continue;
-
-                a = Math.min(a, d[k+4]);
-                a = Math.min(a, d[k+5]);
-                a = Math.min(a, d[k+6]);
-                a = Math.min(a, d[k+7]);
-                a = Math.min(a, d[k+8]);
-                a0 = Math.max(a0, Math.min(a, d[k]));
-                a0 = Math.max(a0, Math.min(a, d[k+9]));
-            }
-
-            b0 = -a0;
-            for( k = 0; k < 16; k += 2 ) {
-                b = Math.max(d[k+1], d[k+2]);
-                b = Math.max(b, d[k+3]);
-                b = Math.max(b, d[k+4]);
-                b = Math.max(b, d[k+5]);
-
-                if( b >= b0 ) continue;
-                b = Math.max(b, d[k+6]);
-                b = Math.max(b, d[k+7]);
-                b = Math.max(b, d[k+8]);
-                b0 = Math.min(b0, Math.max(b, d[k]));
-                b0 = Math.min(b0, Math.max(b, d[k+9]));
-            }
-
-            return -b0-1;
-        };
-
-        var _threshold = 20;
-
-        return {
-            set_threshold: function(threshold) {
-                _threshold = Math.min(Math.max(threshold, 0), 255);
-                for (var i = -255; i <= 255; ++i) {
-                    threshold_tab[(i + 255)] = (i < -_threshold ? 1 : (i > _threshold ? 2 : 0));
-                }
-                return _threshold;
-            },
-            
-            detect: function(src, corners, border) {
-                if (typeof border === "undefined") { border = 3; }
-
-                var K = 8, N = 25;
-                var img = src.data, w = src.cols, h = src.rows;
-                var i=0, j=0, k=0, vt=0, x=0, m3=0;
-                var buf_node = jsfeat.cache.get_buffer(3 * w);
-                var cpbuf_node = jsfeat.cache.get_buffer(((w+1)*3)<<2);
-                var buf = buf_node.u8;
-                var cpbuf = cpbuf_node.i32;
-                var pixel = pixel_off;
-                var sd = score_diff;
-                var sy = Math.max(3, border);
-                var ey = Math.min((h-2), (h-border));
-                var sx = Math.max(3, border);
-                var ex = Math.min((w - 3), (w - border));
-                var _count = 0, corners_cnt = 0, pt;
-                var score_func = _cmp_score_16;
-                var thresh_tab = threshold_tab;
-                var threshold = _threshold;
-
-                var v=0,tab=0,d=0,ncorners=0,cornerpos=0,curr=0,ptr=0,prev=0,pprev=0;
-                var jp1=0,jm1=0,score=0;
-
-                _cmp_offsets(pixel, w, 16);
-
-                // local vars are faster?
-                var pixel0 = pixel[0];
-                var pixel1 = pixel[1];
-                var pixel2 = pixel[2];
-                var pixel3 = pixel[3];
-                var pixel4 = pixel[4];
-                var pixel5 = pixel[5];
-                var pixel6 = pixel[6];
-                var pixel7 = pixel[7];
-                var pixel8 = pixel[8];
-                var pixel9 = pixel[9];
-                var pixel10 = pixel[10];
-                var pixel11 = pixel[11];
-                var pixel12 = pixel[12];
-                var pixel13 = pixel[13];
-                var pixel14 = pixel[14];
-                var pixel15 = pixel[15];
-
-                for(i = 0; i < w*3; ++i) {
-                    buf[i] = 0;
-                }
-
-                for(i = sy; i < ey; ++i) {
-                    ptr = ((i * w) + sx)|0;
-                    m3 = (i - 3)%3;
-                    curr = (m3*w)|0;
-                    cornerpos = (m3*(w+1))|0;
-                    for (j = 0; j < w; ++j) buf[curr+j] = 0;
-                    ncorners = 0;
-                    
-                    if( i < (ey - 1) ) {
-                        j = sx;
-                        
-                        for( ; j < ex; ++j, ++ptr ) {
-                            v = img[ptr];
-                            tab = ( - v + 255 );
-                            d = ( thresh_tab[tab+img[ptr+pixel0]] | thresh_tab[tab+img[ptr+pixel8]] );
-                            
-                            if( d == 0 ) {
-                                continue;
-                            }
-                            
-                            d &= ( thresh_tab[tab+img[ptr+pixel2]] | thresh_tab[tab+img[ptr+pixel10]] );
-                            d &= ( thresh_tab[tab+img[ptr+pixel4]] | thresh_tab[tab+img[ptr+pixel12]] );
-                            d &= ( thresh_tab[tab+img[ptr+pixel6]] | thresh_tab[tab+img[ptr+pixel14]] );
-                            
-                            if( d == 0 ) {
-                                continue;
-                            }
-                            
-                            d &= ( thresh_tab[tab+img[ptr+pixel1]] | thresh_tab[tab+img[ptr+pixel9]] );
-                            d &= ( thresh_tab[tab+img[ptr+pixel3]] | thresh_tab[tab+img[ptr+pixel11]] );
-                            d &= ( thresh_tab[tab+img[ptr+pixel5]] | thresh_tab[tab+img[ptr+pixel13]] );
-                            d &= ( thresh_tab[tab+img[ptr+pixel7]] | thresh_tab[tab+img[ptr+pixel15]] );
-                            
-                            if( d & 1 ) {
-                                vt = (v - threshold);
-                                _count = 0;
-                                
-                                for( k = 0; k < N; ++k ) {
-                                    x = img[(ptr+pixel[k])];
-                                    if(x < vt) {
-                                        ++_count;
-                                        if( _count > K ) {
-                                            ++ncorners;
-                                            cpbuf[cornerpos+ncorners] = j;
-                                            buf[curr+j] = score_func(img, ptr, pixel, sd, threshold);
-                                            break;
-                                        }
-                                    }
-                                    else {
-                                        _count = 0;
-                                    }
-                                }
-                            }
-                            
-                            if( d & 2 ) {
-                                vt = (v + threshold);
-                                _count = 0;
-                                
-                                for( k = 0; k < N; ++k ) {
-                                    x = img[(ptr+pixel[k])];
-                                    if(x > vt) {
-                                        ++_count;
-                                        if( _count > K ) {
-                                            ++ncorners;
-                                            cpbuf[cornerpos+ncorners] = j;
-                                            buf[curr+j] = score_func(img, ptr, pixel, sd, threshold);
-                                            break;
-                                        }
-                                    }
-                                    else {
-                                        _count = 0;
-                                    }
-                                }
-                            }
-                        }
-                    }
-                    
-                    cpbuf[cornerpos+w] = ncorners;
-            
-                    if ( i == sy ) {
-                        continue;
-                    }
-                    
-                    m3 = (i - 4 + 3)%3;
-                    prev = (m3*w)|0;
-                    cornerpos = (m3*(w+1))|0;
-                    m3 = (i - 5 + 3)%3;
-                    pprev = (m3*w)|0;
-
-                    ncorners = cpbuf[cornerpos+w];
-                    
-                    for( k = 0; k < ncorners; ++k ) {
-                        j = cpbuf[cornerpos+k];
-                        jp1 = (j+1)|0;
-                        jm1 = (j-1)|0;
-                        score = buf[prev+j];
-                        if( (score > buf[prev+jp1] && score > buf[prev+jm1] &&
-                            score > buf[pprev+jm1] && score > buf[pprev+j] && score > buf[pprev+jp1] &&
-                            score > buf[curr+jm1] && score > buf[curr+j] && score > buf[curr+jp1]) ) {
-                            // save corner
-                            pt = corners[corners_cnt];
-                            pt.x = j, pt.y = (i-1), pt.score = score;
-                            corners_cnt++;
-                        }
-                    }
-                } // y loop
-                jsfeat.cache.put_buffer(buf_node);
-                jsfeat.cache.put_buffer(cpbuf_node);
-                return corners_cnt;
-            }
-        };
-    })();
-
-    global.fast_corners = fast_corners;
-    fast_corners.set_threshold(20); // set default
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- *
- * Copyright 2007 Computer Vision Lab,
- * Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland.
- * @author Vincent Lepetit (http://cvlab.epfl.ch/~lepetit)
- */
-
-(function(global) {
-    "use strict";
-    //
-
-    var yape06 = (function() {
-        
-        var compute_laplacian = function(src, dst, w, h, Dxx, Dyy, sx,sy, ex,ey) {
-            var y=0,x=0,yrow=(sy*w+sx)|0,row=yrow;
-
-            for(y = sy; y < ey; ++y, yrow+=w, row = yrow) {
-                for(x = sx; x < ex; ++x, ++row) {
-                    dst[row] = -4 * src[row] + src[row+Dxx] + src[row-Dxx] + src[row+Dyy] + src[row-Dyy];
-                }
-            }
-        };
-
-        var hessian_min_eigen_value = function(src, off, tr, Dxx, Dyy, Dxy, Dyx) {
-            var Ixx = -2 * src[off] + src[off + Dxx] + src[off - Dxx];
-            var Iyy = -2 * src[off] + src[off + Dyy] + src[off - Dyy];
-            var Ixy = src[off + Dxy] + src[off - Dxy] - src[off + Dyx] - src[off - Dyx];
-            var sqrt_delta = ( Math.sqrt(((Ixx - Iyy) * (Ixx - Iyy) + 4 * Ixy * Ixy) ) )|0;
-
-            return Math.min(Math.abs(tr - sqrt_delta), Math.abs(-(tr + sqrt_delta)));
-        };
-
-        return {
-
-            laplacian_threshold: 30,
-            min_eigen_value_threshold: 25,
-
-            detect: function(src, points, border) {
-                if (typeof border === "undefined") { border = 5; }
-                var x=0,y=0;
-                var w=src.cols, h=src.rows, srd_d=src.data;
-                var Dxx = 5, Dyy = (5 * w)|0;
-                var Dxy = (3 + 3 * w)|0, Dyx = (3 - 3 * w)|0;
-                var lap_buf = jsfeat.cache.get_buffer((w*h)<<2);
-                var laplacian = lap_buf.i32;
-                var lv=0, row=0,rowx=0,min_eigen_value=0,pt;
-                var number_of_points = 0;
-                var lap_thresh = this.laplacian_threshold;
-                var eigen_thresh = this.min_eigen_value_threshold;
-
-                var sx = Math.max(5, border)|0;
-                var sy = Math.max(3, border)|0;
-                var ex = Math.min(w-5, w-border)|0;
-                var ey = Math.min(h-3, h-border)|0;
-
-                x = w*h;
-                while(--x>=0) {laplacian[x]=0;}
-                compute_laplacian(srd_d, laplacian, w, h, Dxx, Dyy, sx,sy, ex,ey);
-
-                row = (sy*w+sx)|0;
-                for(y = sy; y < ey; ++y, row += w) {
-                    for(x = sx, rowx=row; x < ex; ++x, ++rowx) {
-
-                        lv = laplacian[rowx];
-                        if ((lv < -lap_thresh &&
-                            lv < laplacian[rowx - 1]      && lv < laplacian[rowx + 1] &&
-                            lv < laplacian[rowx - w]     && lv < laplacian[rowx + w] &&
-                            lv < laplacian[rowx - w - 1] && lv < laplacian[rowx + w - 1] &&
-                            lv < laplacian[rowx - w + 1] && lv < laplacian[rowx + w + 1])
-                            ||
-                            (lv > lap_thresh &&
-                            lv > laplacian[rowx - 1]      && lv > laplacian[rowx + 1] &&
-                            lv > laplacian[rowx - w]     && lv > laplacian[rowx + w] &&
-                            lv > laplacian[rowx - w - 1] && lv > laplacian[rowx + w - 1] &&
-                            lv > laplacian[rowx - w + 1] && lv > laplacian[rowx + w + 1])
-                            ) {
-
-                            min_eigen_value = hessian_min_eigen_value(srd_d, rowx, lv, Dxx, Dyy, Dxy, Dyx);
-                            if (min_eigen_value > eigen_thresh) {
-                                pt = points[number_of_points];
-                                pt.x = x, pt.y = y, pt.score = min_eigen_value;
-                                ++number_of_points;
-                                ++x, ++rowx; // skip next pixel since this is maxima in 3x3
-                            }
-                        }
-                    }
-                }
-
-                jsfeat.cache.put_buffer(lap_buf);
-
-                return number_of_points;
-            }
-
-        };
-    })();
-
-    global.yape06 = yape06;
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- *
- * Copyright 2007 Computer Vision Lab,
- * Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland.
- */
-
-(function(global) {
-    "use strict";
-    //
-
-    var yape = (function() {
-
-        var precompute_directions = function(step, dirs, R) {
-            var i = 0;
-            var x, y;
-
-            x = R;
-            for(y = 0; y < x; y++, i++)
-            {
-                x = (Math.sqrt((R * R - y * y)) + 0.5)|0;
-                dirs[i] = (x + step * y);
-            }
-            for(x-- ; x < y && x >= 0; x--, i++)
-            {
-                y = (Math.sqrt((R * R - x * x)) + 0.5)|0;
-                dirs[i] = (x + step * y);
-            }
-            for( ; -x < y; x--, i++)
-            {
-                y = (Math.sqrt((R * R - x * x)) + 0.5)|0;
-                dirs[i] = (x + step * y);
-            }
-            for(y-- ; y >= 0; y--, i++)
-            {
-                x = (-Math.sqrt((R * R - y * y)) - 0.5)|0;
-                dirs[i] = (x + step * y);
-            }
-            for(; y > x; y--, i++)
-            {
-                x = (-Math.sqrt((R * R - y * y)) - 0.5)|0;
-                dirs[i] = (x + step * y);
-            }
-            for(x++ ; x <= 0; x++, i++)
-            {
-                y = (-Math.sqrt((R * R - x * x)) - 0.5)|0;
-                dirs[i] = (x + step * y);
-            }
-            for( ; x < -y; x++, i++)
-            {
-                y = (-Math.sqrt((R * R - x * x)) - 0.5)|0;
-                dirs[i] = (x + step * y);
-            }
-            for(y++ ; y < 0; y++, i++)
-            {
-                x = (Math.sqrt((R * R - y * y)) + 0.5)|0;
-                dirs[i] = (x + step * y);
-            }
-
-            dirs[i] = dirs[0];
-            dirs[i + 1] = dirs[1];
-            return i;
-        };
-
-        var third_check = function (Sb, off, step) {
-            var n = 0;
-            if(Sb[off+1]   != 0) n++;
-            if(Sb[off-1]   != 0) n++;
-            if(Sb[off+step]   != 0) n++;
-            if(Sb[off+step+1] != 0) n++;
-            if(Sb[off+step-1] != 0) n++;
-            if(Sb[off-step]   != 0) n++;
-            if(Sb[off-step+1] != 0) n++;
-            if(Sb[off-step-1] != 0) n++;
-
-            return n;
-        };
-
-        var is_local_maxima = function(p, off, v, step, neighborhood) {
-            var x, y;
-
-            if (v > 0) {
-                off -= step*neighborhood;
-                for (y= -neighborhood; y<=neighborhood; ++y) {
-                    for (x= -neighborhood; x<=neighborhood; ++x) {
-                        if (p[off+x] > v) return false;
-                    }
-                    off += step;
-                }
-            } else {
-                off -= step*neighborhood;
-                for (y= -neighborhood; y<=neighborhood; ++y) {
-                    for (x= -neighborhood; x<=neighborhood; ++x) {
-                        if (p[off+x] < v) return false;
-                    }
-                    off += step;
-                }
-            }
-            return true;
-        };
-
-        var perform_one_point = function(I, x, Scores, Im, Ip, dirs, opposite, dirs_nb) {
-          var score = 0;
-          var a = 0, b = (opposite - 1)|0;
-          var A=0, B0=0, B1=0, B2=0;
-          var state=0;
-
-          // WE KNOW THAT NOT(A ~ I0 & B1 ~ I0):
-          A = I[x+dirs[a]];
-          if ((A <= Ip)) {
-            if ((A >= Im)) { // A ~ I0
-              B0 = I[x+dirs[b]];
-              if ((B0 <= Ip)) {
-                if ((B0 >= Im)) { Scores[x] = 0; return; }
-                else {
-                  b++; B1 = I[x+dirs[b]];
-                  if ((B1 > Ip)) {
-                    b++; B2 = I[x+dirs[b]];
-                    if ((B2 > Ip)) state = 3;
-                    else if ((B2 < Im)) state = 6;
-                    else { Scores[x] = 0; return; } // A ~ I0, B2 ~ I0
-                  }
-                  else/* if ((B1 < Im))*/ {
-                    b++; B2 = I[x+dirs[b]];
-                    if ((B2 > Ip)) state = 7;
-                    else if ((B2 < Im)) state = 2;
-                    else { Scores[x] = 0; return; } // A ~ I0, B2 ~ I0
-                  }
-                  //else { Scores[x] = 0; return; } // A ~ I0, B1 ~ I0
-                }
-              }
-              else { // B0 < I0
-                b++; B1 = I[x+dirs[b]];
-                if ((B1 > Ip)) {
-                  b++; B2 = I[x+dirs[b]];
-                  if ((B2 > Ip)) state = 3;
-                  else if ((B2 < Im)) state = 6;
-                  else { Scores[x] = 0; return; } // A ~ I0, B2 ~ I0
-                }
-                else if ((B1 < Im)) {
-                  b++; B2 = I[x+dirs[b]];
-                  if ((B2 > Ip)) state = 7;
-                  else if ((B2 < Im)) state = 2;
-                  else { Scores[x] = 0; return; } // A ~ I0, B2 ~ I0
-                }
-                else { Scores[x] = 0; return; } // A ~ I0, B1 ~ I0
-              }
-            }
-            else { // A > I0
-              B0 = I[x+dirs[b]];
-              if ((B0 > Ip)) { Scores[x] = 0; return; }
-                b++; B1 = I[x+dirs[b]];
-              if ((B1 > Ip)) { Scores[x] = 0; return; }
-                b++; B2 = I[x+dirs[b]];
-              if ((B2 > Ip)) { Scores[x] = 0; return; }
-                state = 1;
-            }
-          }
-          else // A < I0
-          {
-            B0 = I[x+dirs[b]];
-            if ((B0 < Im)) { Scores[x] = 0; return; }
-              b++; B1 = I[x+dirs[b]];
-            if ((B1 < Im)) { Scores[x] = 0; return; }
-              b++; B2 = I[x+dirs[b]];
-            if ((B2 < Im)) { Scores[x] = 0; return; }
-              state = 0;
-          }
-
-          for(a = 1; a <= opposite; a++)
-          {
-            A = I[x+dirs[a]];
-
-            switch(state)
-            {
-            case 0:
-              if ((A > Ip)) {
-                B1 = B2; b++; B2 = I[x+dirs[b]];
-                if ((B2 < Im)) { Scores[x] = 0; return; }
-                  { score -= A + B1; state = 0; break; }
-              }
-              if ((A < Im)) {
-                if ((B1 > Ip)) { Scores[x] = 0; return; }
-                  if ((B2 > Ip)) { Scores[x] = 0; return; }
-                    B1 = B2; b++; B2 = I[x+dirs[b]];
-                if ((B2 > Ip)) { Scores[x] = 0; return; }
-                  { score -= A + B1; state = 8; break; }
-              } 
-              // A ~ I0
-              if ((B1 <= Ip)) { Scores[x] = 0; return; }
-                if ((B2 <= Ip)) { Scores[x] = 0; return; }
-                  B1 = B2; b++; B2 = I[x+dirs[b]];
-              if ((B2 > Ip)) { score -= A + B1; state = 3; break; };
-              if ((B2 < Im)) { score -= A + B1; state = 6; break; };
-              { Scores[x] = 0; return; }
-
-            case 1:
-              if ((A < Im)) {
-                B1 = B2; b++; B2 = I[x+dirs[b]];
-                if ((B2 > Ip)) { Scores[x] = 0; return; }
-                  { score -= A + B1; state = 1; break; }
-              }
-              if ((A > Ip)) {
-                if ((B1 < Im)) { Scores[x] = 0; return; }
-                  if ((B2 < Im)) { Scores[x] = 0; return; }
-                    B1 = B2; b++; B2 = I[x+dirs[b]];
-                if ((B2 < Im)) { Scores[x] = 0; return; }
-                  { score -= A + B1; state = 9; break; }
-              }
-              // A ~ I0
-              if ((B1 >= Im)) { Scores[x] = 0; return; }
-                if ((B2 >= Im)) { Scores[x] = 0; return; }
-                  B1 = B2; b++; B2 = I[x+dirs[b]];
-              if ((B2 < Im)) { score -= A + B1; state = 2; break; };
-              if ((B2 > Ip)) { score -= A + B1; state = 7; break; };
-              { Scores[x] = 0; return; }
-
-            case 2:
-              if ((A > Ip)) { Scores[x] = 0; return; }
-                B1 = B2; b++; B2 = I[x+dirs[b]];
-              if ((A < Im))
-              {
-                if ((B2 > Ip)) { Scores[x] = 0; return; }
-                  { score -= A + B1; state = 4; break; }
-              } 
-              // A ~ I0
-              if ((B2 > Ip)) { score -= A + B1; state = 7; break; };
-              if ((B2 < Im)) { score -= A + B1; state = 2; break; };
-              { Scores[x] = 0; return; } // A ~ I0, B2 ~ I0
-
-            case 3:
-              if ((A < Im)) { Scores[x] = 0; return; }
-                B1 = B2; b++; B2 = I[x+dirs[b]];
-              if ((A > Ip)) {
-                if ((B2 < Im)) { Scores[x] = 0; return; }
-                  { score -= A + B1; state = 5; break; }
-              }
-              // A ~ I0
-              if ((B2 > Ip)) { score -= A + B1; state = 3; break; };
-              if ((B2 < Im)) { score -= A + B1; state = 6; break; };
-              { Scores[x] = 0; return; }
-
-            case 4:
-              if ((A > Ip)) { Scores[x] = 0; return; }
-                if ((A < Im)) {
-                  B1 = B2; b++; B2 = I[x+dirs[b]];
-                  if ((B2 > Ip)) { Scores[x] = 0; return; }
-                    { score -= A + B1; state = 1; break; }
-                }
-                if ((B2 >= Im)) { Scores[x] = 0; return; }
-                  B1 = B2; b++; B2 = I[x+dirs[b]];
-                if ((B2 < Im)) { score -= A + B1; state = 2; break; };
-                if ((B2 > Ip)) { score -= A + B1; state = 7; break; };
-                { Scores[x] = 0; return; }
-
-            case 5:
-              if ((A < Im)) { Scores[x] = 0; return; }
-                if ((A > Ip)) {
-                  B1 = B2; b++; B2 = I[x+dirs[b]];
-                  if ((B2 < Im)) { Scores[x] = 0; return; }
-                    { score -= A + B1; state = 0; break; }
-                }
-                // A ~ I0
-                if ((B2 <= Ip)) { Scores[x] = 0; return; }
-                  B1 = B2; b++; B2 = I[x+dirs[b]];
-                if ((B2 > Ip)) { score -= A + B1; state = 3; break; };
-                if ((B2 < Im)) { score -= A + B1; state = 6; break; };
-                { Scores[x] = 0; return; }
-
-            case 7:
-              if ((A > Ip)) { Scores[x] = 0; return; }
-                if ((A < Im)) { Scores[x] = 0; return; }
-                  B1 = B2; b++; B2 = I[x+dirs[b]];
-              // A ~ I0
-              if ((B2 > Ip)) { score -= A + B1; state = 3; break; };
-              if ((B2 < Im)) { score -= A + B1; state = 6; break; };
-              { Scores[x] = 0; return; } // A ~ I0, B2 ~ I0
-
-            case 6:
-              if ((A > Ip)) { Scores[x] = 0; return; }
-                if ((A < Im)) { Scores[x] = 0; return; }
-                  B1 = B2; b++; B2 = I[x+dirs[b]];
-              // A ~ I0
-              if ((B2 < Im)) { score -= A + B1; state = 2; break; };
-              if ((B2 > Ip)) { score -= A + B1; state = 7; break; };
-              { Scores[x] = 0; return; } // A ~ I0, B2 ~ I0
-
-            case 8:
-              if ((A > Ip)) {
-                if ((B2 < Im)) { Scores[x] = 0; return; }
-                  B1 = B2; b++; B2 = I[x+dirs[b]];
-                if ((B2 < Im)) { Scores[x] = 0; return; }
-                  { score -= A + B1; state = 9; break; }
-              }
-              if ((A < Im)) {
-                B1 = B2; b++; B2 = I[x+dirs[b]];
-                if ((B2 > Ip)) { Scores[x] = 0; return; }
-                  { score -= A + B1; state = 1; break; }
-              }
-              { Scores[x] = 0; return; }
-
-            case 9:
-              if ((A < Im)) {
-                if ((B2 > Ip)) { Scores[x] = 0; return; }
-                  B1 = B2; b++; B2 = I[x+dirs[b]];
-                if ((B2 > Ip)) { Scores[x] = 0; return; }
-                  { score -= A + B1; state = 8; break; }
-              }
-              if ((A > Ip)) {
-                B1 = B2; b++; B2 = I[x+dirs[b]];
-                if ((B2 < Im)) { Scores[x] = 0; return; }
-                  { score -= A + B1; state = 0; break; }
-              }
-              { Scores[x] = 0; return; }
-
-            default:
-              //"PB default";
-              break;
-            } // switch(state)
-          } // for(a...)
-
-          Scores[x] = (score + dirs_nb * I[x]);
-        };
-
-        var lev_table_t = (function () {
-            function lev_table_t(w, h, r) {
-                this.dirs = new Int32Array(1024);
-                this.dirs_count = precompute_directions(w, this.dirs, r)|0;
-                this.scores = new Int32Array(w*h);
-                this.radius = r|0;
-            }
-            return lev_table_t;
-        })();
-        
-        return {
-
-            level_tables: [],
-            tau: 7,
-
-            init: function(width, height, radius, pyramid_levels) {
-                if (typeof pyramid_levels === "undefined") { pyramid_levels = 1; }
-                var i;
-                radius = Math.min(radius, 7);
-                radius = Math.max(radius, 3);
-                for(i = 0; i < pyramid_levels; ++i) {
-                    this.level_tables[i] = new lev_table_t(width>>i, height>>i, radius);
-                }
-            },
-
-            detect: function(src, points, border) {
-                if (typeof border === "undefined") { border = 4; }
-                var t = this.level_tables[0];
-                var R = t.radius|0, Rm1 = (R-1)|0;
-                var dirs = t.dirs;
-                var dirs_count = t.dirs_count|0;
-                var opposite = dirs_count >> 1;
-                var img = src.data, w=src.cols|0, h=src.rows|0,hw=w>>1;
-                var scores = t.scores;
-                var x=0,y=0,row=0,rowx=0,ip=0,im=0,abs_score=0, score=0;
-                var tau = this.tau|0;
-                var number_of_points = 0, pt;
-
-                var sx = Math.max(R+1, border)|0;
-                var sy = Math.max(R+1, border)|0;
-                var ex = Math.min(w-R-2, w-border)|0;
-                var ey = Math.min(h-R-2, h-border)|0;
-
-                row = (sy*w+sx)|0;
-                for(y = sy; y < ey; ++y, row+=w) {
-                    for(x = sx, rowx = row; x < ex; ++x, ++rowx) {
-                        ip = img[rowx] + tau, im = img[rowx] - tau;
-
-                        if (im<img[rowx+R] && img[rowx+R]<ip && im<img[rowx-R] && img[rowx-R]<ip) {
-                            scores[rowx] = 0;
-                        } else {
-                            perform_one_point(img, rowx, scores, im, ip, dirs, opposite, dirs_count);
-                        }
-                    }
-                }
-
-                // local maxima
-                row = (sy*w+sx)|0;
-                for(y = sy; y < ey; ++y, row+=w) {
-                    for(x = sx, rowx = row; x < ex; ++x, ++rowx) {
-                        score = scores[rowx];
-                        abs_score = Math.abs(score);
-                        if(abs_score < 5) {
-                            // if this pixel is 0, the next one will not be good enough. Skip it.
-                            ++x, ++rowx;
-                        } else {
-                            if(third_check(scores, rowx, w) >= 3 && is_local_maxima(scores, rowx, score, hw, R)) {
-                                pt = points[number_of_points];
-                                pt.x = x, pt.y = y, pt.score = abs_score;
-                                ++number_of_points;
-
-                                x += Rm1, rowx += Rm1;
-                            }
-                        }
-                    }
-                }
-
-                return number_of_points;
-            }
-        };
-
-    })();
-
-    global.yape = yape;
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- *
- * Original implementation derived from OpenCV,
- * @authors Ethan Rublee, Vincent Rabaud, Gary Bradski
- */
-
-(function(global) {
-    "use strict";
-    //
-
-    var orb = (function() {
-
-    	var bit_pattern_31_ = new Int32Array([
-		    8,-3, 9,5/*mean (0), correlation (0)*/,
-		    4,2, 7,-12/*mean (1.12461e-05), correlation (0.0437584)*/,
-		    -11,9, -8,2/*mean (3.37382e-05), correlation (0.0617409)*/,
-		    7,-12, 12,-13/*mean (5.62303e-05), correlation (0.0636977)*/,
-		    2,-13, 2,12/*mean (0.000134953), correlation (0.085099)*/,
-		    1,-7, 1,6/*mean (0.000528565), correlation (0.0857175)*/,
-		    -2,-10, -2,-4/*mean (0.0188821), correlation (0.0985774)*/,
-		    -13,-13, -11,-8/*mean (0.0363135), correlation (0.0899616)*/,
-		    -13,-3, -12,-9/*mean (0.121806), correlation (0.099849)*/,
-		    10,4, 11,9/*mean (0.122065), correlation (0.093285)*/,
-		    -13,-8, -8,-9/*mean (0.162787), correlation (0.0942748)*/,
-		    -11,7, -9,12/*mean (0.21561), correlation (0.0974438)*/,
-		    7,7, 12,6/*mean (0.160583), correlation (0.130064)*/,
-		    -4,-5, -3,0/*mean (0.228171), correlation (0.132998)*/,
-		    -13,2, -12,-3/*mean (0.00997526), correlation (0.145926)*/,
-		    -9,0, -7,5/*mean (0.198234), correlation (0.143636)*/,
-		    12,-6, 12,-1/*mean (0.0676226), correlation (0.16689)*/,
-		    -3,6, -2,12/*mean (0.166847), correlation (0.171682)*/,
-		    -6,-13, -4,-8/*mean (0.101215), correlation (0.179716)*/,
-		    11,-13, 12,-8/*mean (0.200641), correlation (0.192279)*/,
-		    4,7, 5,1/*mean (0.205106), correlation (0.186848)*/,
-		    5,-3, 10,-3/*mean (0.234908), correlation (0.192319)*/,
-		    3,-7, 6,12/*mean (0.0709964), correlation (0.210872)*/,
-		    -8,-7, -6,-2/*mean (0.0939834), correlation (0.212589)*/,
-		    -2,11, -1,-10/*mean (0.127778), correlation (0.20866)*/,
-		    -13,12, -8,10/*mean (0.14783), correlation (0.206356)*/,
-		    -7,3, -5,-3/*mean (0.182141), correlation (0.198942)*/,
-		    -4,2, -3,7/*mean (0.188237), correlation (0.21384)*/,
-		    -10,-12, -6,11/*mean (0.14865), correlation (0.23571)*/,
-		    5,-12, 6,-7/*mean (0.222312), correlation (0.23324)*/,
-		    5,-6, 7,-1/*mean (0.229082), correlation (0.23389)*/,
-		    1,0, 4,-5/*mean (0.241577), correlation (0.215286)*/,
-		    9,11, 11,-13/*mean (0.00338507), correlation (0.251373)*/,
-		    4,7, 4,12/*mean (0.131005), correlation (0.257622)*/,
-		    2,-1, 4,4/*mean (0.152755), correlation (0.255205)*/,
-		    -4,-12, -2,7/*mean (0.182771), correlation (0.244867)*/,
-		    -8,-5, -7,-10/*mean (0.186898), correlation (0.23901)*/,
-		    4,11, 9,12/*mean (0.226226), correlation (0.258255)*/,
-		    0,-8, 1,-13/*mean (0.0897886), correlation (0.274827)*/,
-		    -13,-2, -8,2/*mean (0.148774), correlation (0.28065)*/,
-		    -3,-2, -2,3/*mean (0.153048), correlation (0.283063)*/,
-		    -6,9, -4,-9/*mean (0.169523), correlation (0.278248)*/,
-		    8,12, 10,7/*mean (0.225337), correlation (0.282851)*/,
-		    0,9, 1,3/*mean (0.226687), correlation (0.278734)*/,
-		    7,-5, 11,-10/*mean (0.00693882), correlation (0.305161)*/,
-		    -13,-6, -11,0/*mean (0.0227283), correlation (0.300181)*/,
-		    10,7, 12,1/*mean (0.125517), correlation (0.31089)*/,
-		    -6,-3, -6,12/*mean (0.131748), correlation (0.312779)*/,
-		    10,-9, 12,-4/*mean (0.144827), correlation (0.292797)*/,
-		    -13,8, -8,-12/*mean (0.149202), correlation (0.308918)*/,
-		    -13,0, -8,-4/*mean (0.160909), correlation (0.310013)*/,
-		    3,3, 7,8/*mean (0.177755), correlation (0.309394)*/,
-		    5,7, 10,-7/*mean (0.212337), correlation (0.310315)*/,
-		    -1,7, 1,-12/*mean (0.214429), correlation (0.311933)*/,
-		    3,-10, 5,6/*mean (0.235807), correlation (0.313104)*/,
-		    2,-4, 3,-10/*mean (0.00494827), correlation (0.344948)*/,
-		    -13,0, -13,5/*mean (0.0549145), correlation (0.344675)*/,
-		    -13,-7, -12,12/*mean (0.103385), correlation (0.342715)*/,
-		    -13,3, -11,8/*mean (0.134222), correlation (0.322922)*/,
-		    -7,12, -4,7/*mean (0.153284), correlation (0.337061)*/,
-		    6,-10, 12,8/*mean (0.154881), correlation (0.329257)*/,
-		    -9,-1, -7,-6/*mean (0.200967), correlation (0.33312)*/,
-		    -2,-5, 0,12/*mean (0.201518), correlation (0.340635)*/,
-		    -12,5, -7,5/*mean (0.207805), correlation (0.335631)*/,
-		    3,-10, 8,-13/*mean (0.224438), correlation (0.34504)*/,
-		    -7,-7, -4,5/*mean (0.239361), correlation (0.338053)*/,
-		    -3,-2, -1,-7/*mean (0.240744), correlation (0.344322)*/,
-		    2,9, 5,-11/*mean (0.242949), correlation (0.34145)*/,
-		    -11,-13, -5,-13/*mean (0.244028), correlation (0.336861)*/,
-		    -1,6, 0,-1/*mean (0.247571), correlation (0.343684)*/,
-		    5,-3, 5,2/*mean (0.000697256), correlation (0.357265)*/,
-		    -4,-13, -4,12/*mean (0.00213675), correlation (0.373827)*/,
-		    -9,-6, -9,6/*mean (0.0126856), correlation (0.373938)*/,
-		    -12,-10, -8,-4/*mean (0.0152497), correlation (0.364237)*/,
-		    10,2, 12,-3/*mean (0.0299933), correlation (0.345292)*/,
-		    7,12, 12,12/*mean (0.0307242), correlation (0.366299)*/,
-		    -7,-13, -6,5/*mean (0.0534975), correlation (0.368357)*/,
-		    -4,9, -3,4/*mean (0.099865), correlation (0.372276)*/,
-		    7,-1, 12,2/*mean (0.117083), correlation (0.364529)*/,
-		    -7,6, -5,1/*mean (0.126125), correlation (0.369606)*/,
-		    -13,11, -12,5/*mean (0.130364), correlation (0.358502)*/,
-		    -3,7, -2,-6/*mean (0.131691), correlation (0.375531)*/,
-		    7,-8, 12,-7/*mean (0.160166), correlation (0.379508)*/,
-		    -13,-7, -11,-12/*mean (0.167848), correlation (0.353343)*/,
-		    1,-3, 12,12/*mean (0.183378), correlation (0.371916)*/,
-		    2,-6, 3,0/*mean (0.228711), correlation (0.371761)*/,
-		    -4,3, -2,-13/*mean (0.247211), correlation (0.364063)*/,
-		    -1,-13, 1,9/*mean (0.249325), correlation (0.378139)*/,
-		    7,1, 8,-6/*mean (0.000652272), correlation (0.411682)*/,
-		    1,-1, 3,12/*mean (0.00248538), correlation (0.392988)*/,
-		    9,1, 12,6/*mean (0.0206815), correlation (0.386106)*/,
-		    -1,-9, -1,3/*mean (0.0364485), correlation (0.410752)*/,
-		    -13,-13, -10,5/*mean (0.0376068), correlation (0.398374)*/,
-		    7,7, 10,12/*mean (0.0424202), correlation (0.405663)*/,
-		    12,-5, 12,9/*mean (0.0942645), correlation (0.410422)*/,
-		    6,3, 7,11/*mean (0.1074), correlation (0.413224)*/,
-		    5,-13, 6,10/*mean (0.109256), correlation (0.408646)*/,
-		    2,-12, 2,3/*mean (0.131691), correlation (0.416076)*/,
-		    3,8, 4,-6/*mean (0.165081), correlation (0.417569)*/,
-		    2,6, 12,-13/*mean (0.171874), correlation (0.408471)*/,
-		    9,-12, 10,3/*mean (0.175146), correlation (0.41296)*/,
-		    -8,4, -7,9/*mean (0.183682), correlation (0.402956)*/,
-		    -11,12, -4,-6/*mean (0.184672), correlation (0.416125)*/,
-		    1,12, 2,-8/*mean (0.191487), correlation (0.386696)*/,
-		    6,-9, 7,-4/*mean (0.192668), correlation (0.394771)*/,
-		    2,3, 3,-2/*mean (0.200157), correlation (0.408303)*/,
-		    6,3, 11,0/*mean (0.204588), correlation (0.411762)*/,
-		    3,-3, 8,-8/*mean (0.205904), correlation (0.416294)*/,
-		    7,8, 9,3/*mean (0.213237), correlation (0.409306)*/,
-		    -11,-5, -6,-4/*mean (0.243444), correlation (0.395069)*/,
-		    -10,11, -5,10/*mean (0.247672), correlation (0.413392)*/,
-		    -5,-8, -3,12/*mean (0.24774), correlation (0.411416)*/,
-		    -10,5, -9,0/*mean (0.00213675), correlation (0.454003)*/,
-		    8,-1, 12,-6/*mean (0.0293635), correlation (0.455368)*/,
-		    4,-6, 6,-11/*mean (0.0404971), correlation (0.457393)*/,
-		    -10,12, -8,7/*mean (0.0481107), correlation (0.448364)*/,
-		    4,-2, 6,7/*mean (0.050641), correlation (0.455019)*/,
-		    -2,0, -2,12/*mean (0.0525978), correlation (0.44338)*/,
-		    -5,-8, -5,2/*mean (0.0629667), correlation (0.457096)*/,
-		    7,-6, 10,12/*mean (0.0653846), correlation (0.445623)*/,
-		    -9,-13, -8,-8/*mean (0.0858749), correlation (0.449789)*/,
-		    -5,-13, -5,-2/*mean (0.122402), correlation (0.450201)*/,
-		    8,-8, 9,-13/*mean (0.125416), correlation (0.453224)*/,
-		    -9,-11, -9,0/*mean (0.130128), correlation (0.458724)*/,
-		    1,-8, 1,-2/*mean (0.132467), correlation (0.440133)*/,
-		    7,-4, 9,1/*mean (0.132692), correlation (0.454)*/,
-		    -2,1, -1,-4/*mean (0.135695), correlation (0.455739)*/,
-		    11,-6, 12,-11/*mean (0.142904), correlation (0.446114)*/,
-		    -12,-9, -6,4/*mean (0.146165), correlation (0.451473)*/,
-		    3,7, 7,12/*mean (0.147627), correlation (0.456643)*/,
-		    5,5, 10,8/*mean (0.152901), correlation (0.455036)*/,
-		    0,-4, 2,8/*mean (0.167083), correlation (0.459315)*/,
-		    -9,12, -5,-13/*mean (0.173234), correlation (0.454706)*/,
-		    0,7, 2,12/*mean (0.18312), correlation (0.433855)*/,
-		    -1,2, 1,7/*mean (0.185504), correlation (0.443838)*/,
-		    5,11, 7,-9/*mean (0.185706), correlation (0.451123)*/,
-		    3,5, 6,-8/*mean (0.188968), correlation (0.455808)*/,
-		    -13,-4, -8,9/*mean (0.191667), correlation (0.459128)*/,
-		    -5,9, -3,-3/*mean (0.193196), correlation (0.458364)*/,
-		    -4,-7, -3,-12/*mean (0.196536), correlation (0.455782)*/,
-		    6,5, 8,0/*mean (0.1972), correlation (0.450481)*/,
-		    -7,6, -6,12/*mean (0.199438), correlation (0.458156)*/,
-		    -13,6, -5,-2/*mean (0.211224), correlation (0.449548)*/,
-		    1,-10, 3,10/*mean (0.211718), correlation (0.440606)*/,
-		    4,1, 8,-4/*mean (0.213034), correlation (0.443177)*/,
-		    -2,-2, 2,-13/*mean (0.234334), correlation (0.455304)*/,
-		    2,-12, 12,12/*mean (0.235684), correlation (0.443436)*/,
-		    -2,-13, 0,-6/*mean (0.237674), correlation (0.452525)*/,
-		    4,1, 9,3/*mean (0.23962), correlation (0.444824)*/,
-		    -6,-10, -3,-5/*mean (0.248459), correlation (0.439621)*/,
-		    -3,-13, -1,1/*mean (0.249505), correlation (0.456666)*/,
-		    7,5, 12,-11/*mean (0.00119208), correlation (0.495466)*/,
-		    4,-2, 5,-7/*mean (0.00372245), correlation (0.484214)*/,
-		    -13,9, -9,-5/*mean (0.00741116), correlation (0.499854)*/,
-		    7,1, 8,6/*mean (0.0208952), correlation (0.499773)*/,
-		    7,-8, 7,6/*mean (0.0220085), correlation (0.501609)*/,
-		    -7,-4, -7,1/*mean (0.0233806), correlation (0.496568)*/,
-		    -8,11, -7,-8/*mean (0.0236505), correlation (0.489719)*/,
-		    -13,6, -12,-8/*mean (0.0268781), correlation (0.503487)*/,
-		    2,4, 3,9/*mean (0.0323324), correlation (0.501938)*/,
-		    10,-5, 12,3/*mean (0.0399235), correlation (0.494029)*/,
-		    -6,-5, -6,7/*mean (0.0420153), correlation (0.486579)*/,
-		    8,-3, 9,-8/*mean (0.0548021), correlation (0.484237)*/,
-		    2,-12, 2,8/*mean (0.0616622), correlation (0.496642)*/,
-		    -11,-2, -10,3/*mean (0.0627755), correlation (0.498563)*/,
-		    -12,-13, -7,-9/*mean (0.0829622), correlation (0.495491)*/,
-		    -11,0, -10,-5/*mean (0.0843342), correlation (0.487146)*/,
-		    5,-3, 11,8/*mean (0.0929937), correlation (0.502315)*/,
-		    -2,-13, -1,12/*mean (0.113327), correlation (0.48941)*/,
-		    -1,-8, 0,9/*mean (0.132119), correlation (0.467268)*/,
-		    -13,-11, -12,-5/*mean (0.136269), correlation (0.498771)*/,
-		    -10,-2, -10,11/*mean (0.142173), correlation (0.498714)*/,
-		    -3,9, -2,-13/*mean (0.144141), correlation (0.491973)*/,
-		    2,-3, 3,2/*mean (0.14892), correlation (0.500782)*/,
-		    -9,-13, -4,0/*mean (0.150371), correlation (0.498211)*/,
-		    -4,6, -3,-10/*mean (0.152159), correlation (0.495547)*/,
-		    -4,12, -2,-7/*mean (0.156152), correlation (0.496925)*/,
-		    -6,-11, -4,9/*mean (0.15749), correlation (0.499222)*/,
-		    6,-3, 6,11/*mean (0.159211), correlation (0.503821)*/,
-		    -13,11, -5,5/*mean (0.162427), correlation (0.501907)*/,
-		    11,11, 12,6/*mean (0.16652), correlation (0.497632)*/,
-		    7,-5, 12,-2/*mean (0.169141), correlation (0.484474)*/,
-		    -1,12, 0,7/*mean (0.169456), correlation (0.495339)*/,
-		    -4,-8, -3,-2/*mean (0.171457), correlation (0.487251)*/,
-		    -7,1, -6,7/*mean (0.175), correlation (0.500024)*/,
-		    -13,-12, -8,-13/*mean (0.175866), correlation (0.497523)*/,
-		    -7,-2, -6,-8/*mean (0.178273), correlation (0.501854)*/,
-		    -8,5, -6,-9/*mean (0.181107), correlation (0.494888)*/,
-		    -5,-1, -4,5/*mean (0.190227), correlation (0.482557)*/,
-		    -13,7, -8,10/*mean (0.196739), correlation (0.496503)*/,
-		    1,5, 5,-13/*mean (0.19973), correlation (0.499759)*/,
-		    1,0, 10,-13/*mean (0.204465), correlation (0.49873)*/,
-		    9,12, 10,-1/*mean (0.209334), correlation (0.49063)*/,
-		    5,-8, 10,-9/*mean (0.211134), correlation (0.503011)*/,
-		    -1,11, 1,-13/*mean (0.212), correlation (0.499414)*/,
-		    -9,-3, -6,2/*mean (0.212168), correlation (0.480739)*/,
-		    -1,-10, 1,12/*mean (0.212731), correlation (0.502523)*/,
-		    -13,1, -8,-10/*mean (0.21327), correlation (0.489786)*/,
-		    8,-11, 10,-6/*mean (0.214159), correlation (0.488246)*/,
-		    2,-13, 3,-6/*mean (0.216993), correlation (0.50287)*/,
-		    7,-13, 12,-9/*mean (0.223639), correlation (0.470502)*/,
-		    -10,-10, -5,-7/*mean (0.224089), correlation (0.500852)*/,
-		    -10,-8, -8,-13/*mean (0.228666), correlation (0.502629)*/,
-		    4,-6, 8,5/*mean (0.22906), correlation (0.498305)*/,
-		    3,12, 8,-13/*mean (0.233378), correlation (0.503825)*/,
-		    -4,2, -3,-3/*mean (0.234323), correlation (0.476692)*/,
-		    5,-13, 10,-12/*mean (0.236392), correlation (0.475462)*/,
-		    4,-13, 5,-1/*mean (0.236842), correlation (0.504132)*/,
-		    -9,9, -4,3/*mean (0.236977), correlation (0.497739)*/,
-		    0,3, 3,-9/*mean (0.24314), correlation (0.499398)*/,
-		    -12,1, -6,1/*mean (0.243297), correlation (0.489447)*/,
-		    3,2, 4,-8/*mean (0.00155196), correlation (0.553496)*/,
-		    -10,-10, -10,9/*mean (0.00239541), correlation (0.54297)*/,
-		    8,-13, 12,12/*mean (0.0034413), correlation (0.544361)*/,
-		    -8,-12, -6,-5/*mean (0.003565), correlation (0.551225)*/,
-		    2,2, 3,7/*mean (0.00835583), correlation (0.55285)*/,
-		    10,6, 11,-8/*mean (0.00885065), correlation (0.540913)*/,
-		    6,8, 8,-12/*mean (0.0101552), correlation (0.551085)*/,
-		    -7,10, -6,5/*mean (0.0102227), correlation (0.533635)*/,
-		    -3,-9, -3,9/*mean (0.0110211), correlation (0.543121)*/,
-		    -1,-13, -1,5/*mean (0.0113473), correlation (0.550173)*/,
-		    -3,-7, -3,4/*mean (0.0140913), correlation (0.554774)*/,
-		    -8,-2, -8,3/*mean (0.017049), correlation (0.55461)*/,
-		    4,2, 12,12/*mean (0.01778), correlation (0.546921)*/,
-		    2,-5, 3,11/*mean (0.0224022), correlation (0.549667)*/,
-		    6,-9, 11,-13/*mean (0.029161), correlation (0.546295)*/,
-		    3,-1, 7,12/*mean (0.0303081), correlation (0.548599)*/,
-		    11,-1, 12,4/*mean (0.0355151), correlation (0.523943)*/,
-		    -3,0, -3,6/*mean (0.0417904), correlation (0.543395)*/,
-		    4,-11, 4,12/*mean (0.0487292), correlation (0.542818)*/,
-		    2,-4, 2,1/*mean (0.0575124), correlation (0.554888)*/,
-		    -10,-6, -8,1/*mean (0.0594242), correlation (0.544026)*/,
-		    -13,7, -11,1/*mean (0.0597391), correlation (0.550524)*/,
-		    -13,12, -11,-13/*mean (0.0608974), correlation (0.55383)*/,
-		    6,0, 11,-13/*mean (0.065126), correlation (0.552006)*/,
-		    0,-1, 1,4/*mean (0.074224), correlation (0.546372)*/,
-		    -13,3, -9,-2/*mean (0.0808592), correlation (0.554875)*/,
-		    -9,8, -6,-3/*mean (0.0883378), correlation (0.551178)*/,
-		    -13,-6, -8,-2/*mean (0.0901035), correlation (0.548446)*/,
-		    5,-9, 8,10/*mean (0.0949843), correlation (0.554694)*/,
-		    2,7, 3,-9/*mean (0.0994152), correlation (0.550979)*/,
-		    -1,-6, -1,-1/*mean (0.10045), correlation (0.552714)*/,
-		    9,5, 11,-2/*mean (0.100686), correlation (0.552594)*/,
-		    11,-3, 12,-8/*mean (0.101091), correlation (0.532394)*/,
-		    3,0, 3,5/*mean (0.101147), correlation (0.525576)*/,
-		    -1,4, 0,10/*mean (0.105263), correlation (0.531498)*/,
-		    3,-6, 4,5/*mean (0.110785), correlation (0.540491)*/,
-		    -13,0, -10,5/*mean (0.112798), correlation (0.536582)*/,
-		    5,8, 12,11/*mean (0.114181), correlation (0.555793)*/,
-		    8,9, 9,-6/*mean (0.117431), correlation (0.553763)*/,
-		    7,-4, 8,-12/*mean (0.118522), correlation (0.553452)*/,
-		    -10,4, -10,9/*mean (0.12094), correlation (0.554785)*/,
-		    7,3, 12,4/*mean (0.122582), correlation (0.555825)*/,
-		    9,-7, 10,-2/*mean (0.124978), correlation (0.549846)*/,
-		    7,0, 12,-2/*mean (0.127002), correlation (0.537452)*/,
-		    -1,-6, 0,-11/*mean (0.127148), correlation (0.547401)*/
-		]);
-
-	    var H = new jsfeat.matrix_t(3, 3, jsfeat.F32_t|jsfeat.C1_t);
-	    var patch_img = new jsfeat.matrix_t(32, 32, jsfeat.U8_t|jsfeat.C1_t);
-
-	    var rectify_patch = function(src, dst, angle, px, py, psize) {
-	    	var cosine = Math.cos(angle);
-	    	var sine   = Math.sin(angle);
-
-	        H.data[0] = cosine, H.data[1] = -sine,    H.data[2] = (-cosine + sine  ) * psize*0.5 + px,
-	        H.data[3] = sine,   H.data[4] =  cosine,  H.data[5] = (-sine   - cosine) * psize*0.5 + py;
-
-	        jsfeat.imgproc.warp_affine(src, dst, H, 128);
-	    };
-
-    	return {
-
-    		describe: function(src, corners, count, descriptors) {
-    			var DESCR_SIZE = 32; // bytes;
-				var i=0,b=0,px=0.0,py=0.0,angle=0.0;
-				var t0=0, t1=0, val=0;
-				var img = src.data, w = src.cols, h = src.rows;
-				var patch_d = patch_img.data;
-				var patch_off = 16*32 + 16; // center of patch
-				var patt=0;
-
-				if(!(descriptors.type&jsfeat.U8_t)) {
-					// relocate to U8 type
-					descriptors.type = jsfeat.U8_t;
-					descriptors.cols = DESCR_SIZE;
-	                descriptors.rows = count;
-	                descriptors.channel = 1;
-					descriptors.allocate();
-				} else {
-					descriptors.resize(DESCR_SIZE, count, 1);
-				}
-
-				var descr_d = descriptors.data;
-				var descr_off = 0;
-
-				for(i = 0; i < count; ++i) {
-					px = corners[i].x;
-					py = corners[i].y;
-					angle = corners[i].angle;
-
-					rectify_patch(src, patch_img, angle, px, py, 32);
-
-					// describe the patch
-					patt = 0;
-					for (b = 0; b < DESCR_SIZE; ++b) {
-			            
-			            t0 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            t1 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            val = (t0 < t1)|0;
-			            
-			            t0 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            t1 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            val |= (t0 < t1) << 1;
-			            
-			            t0 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            t1 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            val |= (t0 < t1) << 2;
-			            
-			            t0 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            t1 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            val |= (t0 < t1) << 3;
-			            
-			            t0 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            t1 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            val |= (t0 < t1) << 4;
-			            
-			            t0 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            t1 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            val |= (t0 < t1) << 5;
-			            
-			            t0 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            t1 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            val |= (t0 < t1) << 6;
-			            
-			            t0 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            t1 = patch_d[patch_off + bit_pattern_31_[patt+1] * 32 + bit_pattern_31_[patt]]; patt += 2;
-			            val |= (t0 < t1) << 7;
-			            
-			            descr_d[descr_off+b] = val;
-			        }
-			        descr_off += DESCR_SIZE;
-				}
-    		}
-    	};
-    })();
-
-    global.orb = orb;
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- *
- * this code is a rewrite from OpenCV's Lucas-Kanade optical flow implementation
- */
-
-(function(global) {
-    "use strict";
-    //
-    var optical_flow_lk = (function() {
-
-        // short link to shar deriv
-        var scharr_deriv = jsfeat.imgproc.scharr_derivatives;
-
-        return {
-            track: function(prev_pyr, curr_pyr, prev_xy, curr_xy, count, win_size, max_iter, status, eps, min_eigen_threshold) {
-                if (typeof max_iter === "undefined") { max_iter = 30; }
-                if (typeof status === "undefined") { status = new Uint8Array(count); }
-                if (typeof eps === "undefined") { eps = 0.01; }
-                if (typeof min_eigen_threshold === "undefined") { min_eigen_threshold = 0.0001; }
-
-                var half_win = (win_size-1)*0.5;
-                var win_area = (win_size*win_size)|0;
-                var win_area2 = win_area << 1;
-                var prev_imgs = prev_pyr.data, next_imgs = curr_pyr.data;
-                var img_prev=prev_imgs[0].data,img_next=next_imgs[0].data;
-                var w0 = prev_imgs[0].cols, h0 = prev_imgs[0].rows,lw=0,lh=0;
-
-                var iwin_node = jsfeat.cache.get_buffer(win_area<<2);
-                var deriv_iwin_node = jsfeat.cache.get_buffer(win_area2<<2);
-                var deriv_lev_node = jsfeat.cache.get_buffer((h0*(w0<<1))<<2);
-
-                var deriv_m = new jsfeat.matrix_t(w0, h0, jsfeat.S32C2_t, deriv_lev_node.data);
-
-                var iwin_buf = iwin_node.i32;
-                var deriv_iwin = deriv_iwin_node.i32;
-                var deriv_lev = deriv_lev_node.i32;
-
-                var dstep=0,src=0,dsrc=0,iptr=0,diptr=0,jptr=0;
-                var lev_sc=0.0,prev_x=0.0,prev_y=0.0,next_x=0.0,next_y=0.0;
-                var prev_delta_x=0.0,prev_delta_y=0.0,delta_x=0.0,delta_y=0.0;
-                var iprev_x=0,iprev_y=0,inext_x=0,inext_y=0;
-                var i=0,j=0,x=0,y=0,level=0,ptid=0,iter=0;
-                var brd_tl=0,brd_r=0,brd_b=0;
-                var a=0.0,b=0.0,b1=0.0,b2=0.0;
-
-                // fixed point math
-                var W_BITS14 = 14;
-                var W_BITS4 = 14;
-                var W_BITS1m5 = W_BITS4 - 5;
-                var W_BITS1m51 = (1 << ((W_BITS1m5) - 1));
-                var W_BITS14_ = (1 << W_BITS14);
-                var W_BITS41 = (1 << ((W_BITS4) - 1));
-                var FLT_SCALE = 1.0/(1 << 20);
-                var iw00=0,iw01=0,iw10=0,iw11=0,ival=0,ixval=0,iyval=0;
-                var A11=0.0,A12=0.0,A22=0.0,D=0.0,min_eig=0.0;
-
-                var FLT_EPSILON = 0.00000011920929;
-                eps *= eps;
-
-                // reset status
-                for(; i < count; ++i) {
-                    status[i] = 1;
-                }
-
-                var max_level = (prev_pyr.levels - 1)|0;
-                level = max_level;
-
-                for(; level >= 0; --level) {
-                    lev_sc = (1.0/(1 << level));
-                    lw = w0 >> level;
-                    lh = h0 >> level;
-                    dstep = lw << 1;
-                    img_prev = prev_imgs[level].data;
-                    img_next = next_imgs[level].data;
-                    
-                    brd_r = (lw - win_size)|0;
-                    brd_b = (lh - win_size)|0;
-
-                    // calculate level derivatives
-                    scharr_deriv(prev_imgs[level], deriv_m);
-
-                    // iterate through points
-                    for(ptid = 0; ptid < count; ++ptid) {
-                        i = ptid << 1;
-                        j = i + 1;
-                        prev_x = prev_xy[i]*lev_sc;
-                        prev_y = prev_xy[j]*lev_sc;
-
-                        if( level == max_level ) {
-                            next_x = prev_x;
-                            next_y = prev_y;
-                        } else {
-                            next_x = curr_xy[i]*2.0;
-                            next_y = curr_xy[j]*2.0;
-                        }
-                        curr_xy[i] = next_x;
-                        curr_xy[j] = next_y;
-
-                        prev_x -= half_win;
-                        prev_y -= half_win;
-                        iprev_x = prev_x|0;
-                        iprev_y = prev_y|0;
-
-                        // border check
-                        x = (iprev_x <= brd_tl)|(iprev_x >= brd_r)|(iprev_y <= brd_tl)|(iprev_y >= brd_b);
-                        if( x != 0 ) {
-                            if( level == 0 ) {
-                                status[ptid] = 0;
-                            }
-                            continue;
-                        }
-
-                        a = prev_x - iprev_x;
-                        b = prev_y - iprev_y;
-                        iw00 = (((1.0 - a)*(1.0 - b)*W_BITS14_) + 0.5)|0;
-                        iw01 = ((a*(1.0 - b)*W_BITS14_) + 0.5)|0;
-                        iw10 = (((1.0 - a)*b*W_BITS14_) + 0.5)|0;
-                        iw11 = (W_BITS14_ - iw00 - iw01 - iw10);
-
-                        A11 = 0.0, A12 = 0.0, A22 = 0.0;
-
-                        // extract the patch from the first image, compute covariation matrix of derivatives
-                        for( y = 0; y < win_size; ++y ) {
-                            src = ( (y + iprev_y)*lw + iprev_x )|0;
-                            dsrc = src << 1;
-
-                            iptr = (y*win_size)|0;
-                            diptr = iptr << 1;
-                            for(x = 0 ; x < win_size; ++x, ++src, ++iptr, dsrc += 2) {
-                                ival = ( (img_prev[src])*iw00 + (img_prev[src+1])*iw01 +
-                                        (img_prev[src+lw])*iw10 + (img_prev[src+lw+1])*iw11 );
-                                ival = (((ival) + W_BITS1m51) >> (W_BITS1m5));
-
-                                ixval = ( deriv_lev[dsrc]*iw00 + deriv_lev[dsrc+2]*iw01 +
-                                        deriv_lev[dsrc+dstep]*iw10 + deriv_lev[dsrc+dstep+2]*iw11 );
-                                ixval = (((ixval) + W_BITS41) >> (W_BITS4));
-
-                                iyval = ( deriv_lev[dsrc+1]*iw00 + deriv_lev[dsrc+3]*iw01 + deriv_lev[dsrc+dstep+1]*iw10 +
-                                        deriv_lev[dsrc+dstep+3]*iw11 );
-                                iyval = (((iyval) + W_BITS41) >> (W_BITS4));
-
-                                iwin_buf[iptr] = ival;
-                                deriv_iwin[diptr++] = ixval;
-                                deriv_iwin[diptr++] = iyval;
-
-                                A11 += ixval*ixval;
-                                A12 += ixval*iyval;
-                                A22 += iyval*iyval;
-                            }
-                        }
-
-                        A11 *= FLT_SCALE; A12 *= FLT_SCALE; A22 *= FLT_SCALE;
-
-                        D = A11*A22 - A12*A12;
-                        min_eig = (A22 + A11 - Math.sqrt((A11-A22)*(A11-A22) + 4.0*A12*A12)) / win_area2;
-
-                        if( min_eig < min_eigen_threshold || D < FLT_EPSILON )
-                        {
-                            if( level == 0 ) {
-                                status[ptid] = 0;
-                            }
-                            continue;
-                        }
-
-                        D = 1.0/D;
-
-                        next_x -= half_win;
-                        next_y -= half_win;
-                        prev_delta_x = 0.0;
-                        prev_delta_y = 0.0;
-
-                        for( iter = 0; iter < max_iter; ++iter ) {
-                            inext_x = next_x|0;
-                            inext_y = next_y|0;
-
-                            x = (inext_x <= brd_tl)|(inext_x >= brd_r)|(inext_y <= brd_tl)|(inext_y >= brd_b);
-                            if( x != 0 ) {
-                                if( level == 0 ) {
-                                    status[ptid] = 0;
-                                }
-                                break;
-                            }
-
-                            a = next_x - inext_x;
-                            b = next_y - inext_y;
-                            iw00 = (((1.0 - a)*(1.0 - b)*W_BITS14_) + 0.5)|0;
-                            iw01 = ((a*(1.0 - b)*W_BITS14_) + 0.5)|0;
-                            iw10 = (((1.0 - a)*b*W_BITS14_) + 0.5)|0;
-                            iw11 = (W_BITS14_ - iw00 - iw01 - iw10);
-                            b1 = 0.0, b2 = 0.0;
-
-                            for( y = 0; y < win_size; ++y ) {
-                                jptr = ( (y + inext_y)*lw + inext_x )|0;
-
-                                iptr = (y*win_size)|0;
-                                diptr = iptr << 1;
-                                for( x = 0 ; x < win_size; ++x, ++jptr, ++iptr ) {
-                                    ival = ( (img_next[jptr])*iw00 + (img_next[jptr+1])*iw01 +
-                                            (img_next[jptr+lw])*iw10 + (img_next[jptr+lw+1])*iw11 );
-                                    ival = (((ival) + W_BITS1m51) >> (W_BITS1m5));
-                                    ival = (ival - iwin_buf[iptr]);
-
-                                    b1 += ival * deriv_iwin[diptr++];
-                                    b2 += ival * deriv_iwin[diptr++];
-                                }
-                            }
-
-                            b1 *= FLT_SCALE;
-                            b2 *= FLT_SCALE;
-
-                            delta_x = ((A12*b2 - A22*b1) * D);
-                            delta_y = ((A12*b1 - A11*b2) * D);
-
-                            next_x += delta_x;
-                            next_y += delta_y;
-                            curr_xy[i] = next_x + half_win;
-                            curr_xy[j] = next_y + half_win;
-
-                            if( delta_x*delta_x + delta_y*delta_y <= eps ) {
-                                break;
-                            }
-
-                            if( iter > 0 && Math.abs(delta_x + prev_delta_x) < 0.01 &&
-                                            Math.abs(delta_y + prev_delta_y) < 0.01 ) {
-                                curr_xy[i] -= delta_x*0.5;
-                                curr_xy[j] -= delta_y*0.5;
-                                break;
-                            }
-
-                            prev_delta_x = delta_x;
-                            prev_delta_y = delta_y;
-                        }
-                    } // points loop
-                } // levels loop
-
-                jsfeat.cache.put_buffer(iwin_node);
-                jsfeat.cache.put_buffer(deriv_iwin_node);
-                jsfeat.cache.put_buffer(deriv_lev_node);
-            }
-        };
-    })();
-
-    global.optical_flow_lk = optical_flow_lk;
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- *
- * this code is a rewrite from https://github.com/mtschirs/js-objectdetect implementation
- * @author Martin Tschirsich / http://www.tu-darmstadt.de/~m_t
- */
-
-(function(global) {
-    "use strict";
-    //
-    var haar = (function() {
-
-        var _group_func = function(r1, r2) {
-            var distance = (r1.width * 0.25 + 0.5)|0;
-
-            return r2.x <= r1.x + distance &&
-                   r2.x >= r1.x - distance &&
-                   r2.y <= r1.y + distance &&
-                   r2.y >= r1.y - distance &&
-                   r2.width <= (r1.width * 1.5 + 0.5)|0 &&
-                   (r2.width * 1.5 + 0.5)|0 >= r1.width;
-        };
-        
-        return {
-
-            edges_density: 0.07,
-
-            detect_single_scale: function(int_sum, int_sqsum, int_tilted, int_canny_sum, width, height, scale, classifier) {
-                var win_w = (classifier.size[0] * scale)|0,
-                    win_h = (classifier.size[1] * scale)|0,
-                    step_x = (0.5 * scale + 1.5)|0,
-                    step_y = step_x;
-                var i,j,k,x,y,ex=(width-win_w)|0,ey=(height-win_h)|0;
-                var w1=(width+1)|0,edge_dens,mean,variance,std;
-                var inv_area = 1.0 / (win_w * win_h);
-                var stages,stage,trees,tree,sn,tn,fn,found=true,stage_thresh,stage_sum,tree_sum,feature,features;
-                var fi_a,fi_b,fi_c,fi_d,fw,fh;
-
-                var ii_a=0,ii_b=win_w,ii_c=win_h*w1,ii_d=ii_c+win_w;
-                var edges_thresh = ((win_w*win_h) * 0xff * this.edges_density)|0;
-                // if too much gradient we also can skip
-                //var edges_thresh_high = ((win_w*win_h) * 0xff * 0.3)|0;
-
-                var rects = [];
-                for(y = 0; y < ey; y += step_y) {
-                    ii_a = y * w1;
-                    for(x = 0; x < ex; x += step_x, ii_a += step_x) {
-
-                        mean =    int_sum[ii_a] 
-                                - int_sum[ii_a+ii_b]
-                                - int_sum[ii_a+ii_c]
-                                + int_sum[ii_a+ii_d];
-
-                        // canny prune
-                        if(int_canny_sum) {
-                            edge_dens = (int_canny_sum[ii_a] 
-                                        - int_canny_sum[ii_a+ii_b]
-                                        - int_canny_sum[ii_a+ii_c]
-                                        + int_canny_sum[ii_a+ii_d]);
-                            if(edge_dens < edges_thresh || mean < 20) {
-                                x += step_x, ii_a += step_x;
-                                continue;
-                            }
-                        }
-
-                        mean *= inv_area;
-                        variance = (int_sqsum[ii_a] 
-                                    - int_sqsum[ii_a+ii_b]
-                                    - int_sqsum[ii_a+ii_c]
-                                    + int_sqsum[ii_a+ii_d]) * inv_area - mean * mean;
-
-                        std = variance > 0. ? Math.sqrt(variance) : 1;
-
-                        stages = classifier.complexClassifiers;
-                        sn = stages.length;
-                        found =  true;
-                        for(i = 0; i < sn; ++i) {
-                            stage = stages[i];
-                            stage_thresh = stage.threshold;
-                            trees = stage.simpleClassifiers;
-                            tn = trees.length;
-                            stage_sum = 0;
-                            for(j = 0; j < tn; ++j) {
-                                tree = trees[j];
-                                tree_sum = 0;
-                                features = tree.features;
-                                fn = features.length;
-                                if(tree.tilted === 1) {
-                                    for(k=0; k < fn; ++k) {
-                                        feature = features[k];
-                                        fi_a = ~~(x + feature[0] * scale) + ~~(y + feature[1] * scale) * w1;
-                                        fw = ~~(feature[2] * scale);
-                                        fh = ~~(feature[3] * scale);
-                                        fi_b = fw * w1;
-                                        fi_c =  fh * w1;
-
-                                        tree_sum += (int_tilted[fi_a]
-                                                    - int_tilted[fi_a + fw + fi_b]
-                                                    - int_tilted[fi_a - fh + fi_c]
-                                                    + int_tilted[fi_a + fw - fh + fi_b + fi_c]) * feature[4];
-                                    }
-                                } else {
-                                    for(k=0; k < fn; ++k) {
-                                        feature = features[k];
-                                        fi_a = ~~(x + feature[0] * scale) + ~~(y + feature[1] * scale) * w1;
-                                        fw = ~~(feature[2] * scale);
-                                        fh = ~~(feature[3] * scale);
-                                        fi_c = fh * w1;
-
-                                        tree_sum += (int_sum[fi_a] 
-                                                    - int_sum[fi_a+fw]
-                                                    - int_sum[fi_a+fi_c]
-                                                    + int_sum[fi_a+fi_c+fw]) * feature[4];
-                                    }
-                                }
-                                stage_sum += (tree_sum * inv_area < tree.threshold * std) ? tree.left_val : tree.right_val;
-                            }
-                            if (stage_sum < stage_thresh) {
-                                found = false;
-                                break;
-                            }
-                        }
-                        
-                        if(found) {
-                            rects.push({"x" : x,
-                                        "y" : y,
-                                        "width" : win_w,
-                                        "height" : win_h,
-                                        "neighbor" : 1,
-                                        "confidence" : stage_sum});
-                            x += step_x, ii_a += step_x;
-                        }
-                    }
-                }
-                return rects;
-            },
-
-            detect_multi_scale: function(int_sum, int_sqsum, int_tilted, int_canny_sum, width, height, classifier, scale_factor, scale_min) {
-                if (typeof scale_factor === "undefined") { scale_factor = 1.2; }
-                if (typeof scale_min === "undefined") { scale_min = 1.0; }
-                var win_w = classifier.size[0];
-                var win_h = classifier.size[1];
-                var rects = [];
-                while (scale_min * win_w < width && scale_min * win_h < height) {
-                    rects = rects.concat(this.detect_single_scale(int_sum, int_sqsum, int_tilted, int_canny_sum, width, height, scale_min, classifier));
-                    scale_min *= scale_factor;
-                }
-                return rects;
-            },
-
-            // OpenCV method to group detected rectangles
-            group_rectangles: function(rects, min_neighbors) {
-                if (typeof min_neighbors === "undefined") { min_neighbors = 1; }
-                var i, j, n = rects.length;
-                var node = [];
-                for (i = 0; i < n; ++i) {
-                    node[i] = {"parent" : -1,
-                               "element" : rects[i],
-                               "rank" : 0};
-                }
-                for (i = 0; i < n; ++i) {
-                    if (!node[i].element)
-                        continue;
-                    var root = i;
-                    while (node[root].parent != -1)
-                        root = node[root].parent;
-                    for (j = 0; j < n; ++j) {
-                        if( i != j && node[j].element && _group_func(node[i].element, node[j].element)) {
-                            var root2 = j;
-
-                            while (node[root2].parent != -1)
-                                root2 = node[root2].parent;
-
-                            if(root2 != root) {
-                                if(node[root].rank > node[root2].rank)
-                                    node[root2].parent = root;
-                                else {
-                                    node[root].parent = root2;
-                                    if (node[root].rank == node[root2].rank)
-                                    node[root2].rank++;
-                                    root = root2;
-                                }
-
-                                /* compress path from node2 to the root: */
-                                var temp, node2 = j;
-                                while (node[node2].parent != -1) {
-                                    temp = node2;
-                                    node2 = node[node2].parent;
-                                    node[temp].parent = root;
-                                }
-
-                                /* compress path from node to the root: */
-                                node2 = i;
-                                while (node[node2].parent != -1) {
-                                    temp = node2;
-                                    node2 = node[node2].parent;
-                                    node[temp].parent = root;
-                                }
-                            }
-                        }
-                    }
-                }
-                var idx_seq = [];
-                var class_idx = 0;
-                for(i = 0; i < n; i++) {
-                    j = -1;
-                    var node1 = i;
-                    if(node[node1].element) {
-                        while (node[node1].parent != -1)
-                            node1 = node[node1].parent;
-                        if(node[node1].rank >= 0)
-                            node[node1].rank = ~class_idx++;
-                        j = ~node[node1].rank;
-                    }
-                    idx_seq[i] = j;
-                }
-                
-                var comps = [];
-                for (i = 0; i < class_idx+1; ++i) {
-                    comps[i] = {"neighbors" : 0,
-                                "x" : 0,
-                                "y" : 0,
-                                "width" : 0,
-                                "height" : 0,
-                                "confidence" : 0};
-                }
-
-                // count number of neighbors
-                for(i = 0; i < n; ++i) {
-                    var r1 = rects[i];
-                    var idx = idx_seq[i];
-
-                    if (comps[idx].neighbors == 0)
-                        comps[idx].confidence = r1.confidence;
-
-                    ++comps[idx].neighbors;
-
-                    comps[idx].x += r1.x;
-                    comps[idx].y += r1.y;
-                    comps[idx].width += r1.width;
-                    comps[idx].height += r1.height;
-                    comps[idx].confidence = Math.max(comps[idx].confidence, r1.confidence);
-                }
-
-                var seq2 = [];
-                // calculate average bounding box
-                for(i = 0; i < class_idx; ++i) {
-                    n = comps[i].neighbors;
-                    if (n >= min_neighbors)
-                        seq2.push({"x" : (comps[i].x * 2 + n) / (2 * n),
-                                   "y" : (comps[i].y * 2 + n) / (2 * n),
-                                   "width" : (comps[i].width * 2 + n) / (2 * n),
-                                   "height" : (comps[i].height * 2 + n) / (2 * n),
-                                   "neighbors" : comps[i].neighbors,
-                                   "confidence" : comps[i].confidence});
-                }
-
-                var result_seq = [];
-                n = seq2.length;
-                // filter out small face rectangles inside large face rectangles
-                for(i = 0; i < n; ++i) {
-                    var r1 = seq2[i];
-                    var flag = true;
-                    for(j = 0; j < n; ++j) {
-                        var r2 = seq2[j];
-                        var distance = (r2.width * 0.25 + 0.5)|0;
-
-                        if(i != j &&
-                           r1.x >= r2.x - distance &&
-                           r1.y >= r2.y - distance &&
-                           r1.x + r1.width <= r2.x + r2.width + distance &&
-                           r1.y + r1.height <= r2.y + r2.height + distance &&
-                           (r2.neighbors > Math.max(3, r1.neighbors) || r1.neighbors < 3)) {
-                            flag = false;
-                            break;
-                        }
-                    }
-
-                    if(flag)
-                        result_seq.push(r1);
-                }
-                return result_seq;
-            }
-        };
-
-    })();
-
-    global.haar = haar;
-
-})(jsfeat);
-/**
- * BBF: Brightness Binary Feature
- *
- * @author Eugene Zatepyakin / http://inspirit.ru/
- *
- * this code is a rewrite from https://github.com/liuliu/ccv implementation
- * @author Liu Liu / http://liuliu.me/
- *
- * The original paper refers to: YEF∗ Real-Time Object Detection, Yotam Abramson and Bruno Steux
- */
-
-(function(global) {
-    "use strict";
-    //
-    var bbf = (function() {
-
-        var _group_func = function(r1, r2) {
-            var distance = (r1.width * 0.25 + 0.5)|0;
-
-            return r2.x <= r1.x + distance &&
-                   r2.x >= r1.x - distance &&
-                   r2.y <= r1.y + distance &&
-                   r2.y >= r1.y - distance &&
-                   r2.width <= (r1.width * 1.5 + 0.5)|0 &&
-                   (r2.width * 1.5 + 0.5)|0 >= r1.width;
-        };
-
-        var img_pyr = new jsfeat.pyramid_t(1);
-
-        return {
-
-            interval: 4,
-            scale: 1.1486,
-            next: 5,
-            scale_to: 1,
-
-            // make features local copy
-            // to avoid array allocation with each scale
-            // this is strange but array works faster than Int32 version???
-            prepare_cascade: function(cascade) {
-                var sn = cascade.stage_classifier.length;
-                for (var j = 0; j < sn; j++) {
-                    var orig_feature = cascade.stage_classifier[j].feature;
-                    var f_cnt = cascade.stage_classifier[j].count;
-                    var feature = cascade.stage_classifier[j]._feature = new Array(f_cnt);
-                    for (var k = 0; k < f_cnt; k++) {
-                        feature[k] = {"size" : orig_feature[k].size,
-                                      "px" : new Array(orig_feature[k].size),
-                                      "pz" : new Array(orig_feature[k].size),
-                                      "nx" : new Array(orig_feature[k].size),
-                                      "nz" : new Array(orig_feature[k].size)};
-                    }
-                }
-            },
-
-            build_pyramid: function(src, min_width, min_height, interval) {
-                if (typeof interval === "undefined") { interval = 4; }
-
-                var sw=src.cols,sh=src.rows;
-                var i=0,nw=0,nh=0;
-                var new_pyr=false;
-                var src0=src,src1=src;
-                var data_type = jsfeat.U8_t | jsfeat.C1_t;
-
-                this.interval = interval;
-                this.scale = Math.pow(2, 1 / (this.interval + 1));
-                this.next = (this.interval + 1)|0;
-                this.scale_to = (Math.log(Math.min(sw / min_width, sh / min_height)) / Math.log(this.scale))|0;
-
-                var pyr_l = ((this.scale_to + this.next * 2) * 4) | 0;
-                if(img_pyr.levels != pyr_l) {
-                    img_pyr.levels = pyr_l;
-                    img_pyr.data = new Array(pyr_l);
-                    new_pyr = true;
-                    img_pyr.data[0] = src; // first is src
-                }
-
-                for (i = 1; i <= this.interval; ++i) {
-                    nw = (sw / Math.pow(this.scale, i))|0;
-                    nh = (sh / Math.pow(this.scale, i))|0;
-                    src0 = img_pyr.data[i<<2];
-                    if(new_pyr || nw != src0.cols || nh != src0.rows) {
-                        img_pyr.data[i<<2] = new jsfeat.matrix_t(nw, nh, data_type);
-                        src0 = img_pyr.data[i<<2];
-                    }
-                    jsfeat.imgproc.resample(src, src0, nw, nh);
-                }
-                for (i = this.next; i < this.scale_to + this.next * 2; ++i) {
-                    src1 = img_pyr.data[(i << 2) - (this.next << 2)];
-                    src0 = img_pyr.data[i<<2];
-                    nw = src1.cols >> 1;
-                    nh = src1.rows >> 1;
-                    if(new_pyr || nw != src0.cols || nh != src0.rows) {
-                        img_pyr.data[i<<2] = new jsfeat.matrix_t(nw, nh, data_type);
-                        src0 = img_pyr.data[i<<2];
-                    }
-                    jsfeat.imgproc.pyrdown(src1, src0);
-                }
-                for (i = this.next * 2; i < this.scale_to + this.next * 2; ++i) {
-                    src1 = img_pyr.data[(i << 2) - (this.next << 2)];
-                    nw = src1.cols >> 1;
-                    nh = src1.rows >> 1;
-                    src0 = img_pyr.data[(i<<2)+1];
-                    if(new_pyr || nw != src0.cols || nh != src0.rows) {
-                        img_pyr.data[(i<<2)+1] = new jsfeat.matrix_t(nw, nh, data_type);
-                        src0 = img_pyr.data[(i<<2)+1];
-                    }
-                    jsfeat.imgproc.pyrdown(src1, src0, 1, 0);
-                    //
-                    src0 = img_pyr.data[(i<<2)+2];
-                    if(new_pyr || nw != src0.cols || nh != src0.rows) {
-                        img_pyr.data[(i<<2)+2] = new jsfeat.matrix_t(nw, nh, data_type);
-                        src0 = img_pyr.data[(i<<2)+2];
-                    }
-                    jsfeat.imgproc.pyrdown(src1, src0, 0, 1);
-                    //
-                    src0 = img_pyr.data[(i<<2)+3];
-                    if(new_pyr || nw != src0.cols || nh != src0.rows) {
-                        img_pyr.data[(i<<2)+3] = new jsfeat.matrix_t(nw, nh, data_type);
-                        src0 = img_pyr.data[(i<<2)+3];
-                    }
-                    jsfeat.imgproc.pyrdown(src1, src0, 1, 1);
-                }
-                return img_pyr;
-            },
-
-            detect: function(pyramid, cascade) {
-                var interval = this.interval;
-                var scale = this.scale;
-                var next = this.next;
-                var scale_upto = this.scale_to;
-                var i=0,j=0,k=0,n=0,x=0,y=0,q=0,sn=0,f_cnt=0,q_cnt=0,p=0,pmin=0,nmax=0,f=0,i4=0,qw=0,qh=0;
-                var sum=0.0, alpha, feature, orig_feature, feature_k, feature_o, flag = true, shortcut=true;
-                var scale_x = 1.0, scale_y = 1.0;
-                var dx = [0, 1, 0, 1];
-                var dy = [0, 0, 1, 1];
-                var seq = [];
-                var pyr=pyramid.data, bpp = 1, bpp2 = 2, bpp4 = 4;
-
-                var u8 = [], u8o = [0,0,0];
-                var step = [0,0,0];
-                var paddings = [0,0,0];
-
-                for (i = 0; i < scale_upto; i++) {
-                    i4 = (i<<2);
-                    qw = pyr[i4 + (next << 3)].cols - (cascade.width >> 2);
-                    qh = pyr[i4 + (next << 3)].rows - (cascade.height >> 2);
-                    step[0] = pyr[i4].cols * bpp;
-                    step[1] = pyr[i4 + (next << 2)].cols * bpp;
-                    step[2] = pyr[i4 + (next << 3)].cols * bpp;
-                    paddings[0] = (pyr[i4].cols * bpp4) - (qw * bpp4);
-                    paddings[1] = (pyr[i4 + (next << 2)].cols * bpp2) - (qw * bpp2);
-                    paddings[2] = (pyr[i4 + (next << 3)].cols * bpp) - (qw * bpp);
-                    sn = cascade.stage_classifier.length;
-                    for (j = 0; j < sn; j++) {
-                        orig_feature = cascade.stage_classifier[j].feature;
-                        feature = cascade.stage_classifier[j]._feature;
-                        f_cnt = cascade.stage_classifier[j].count;
-                        for (k = 0; k < f_cnt; k++) {
-                            feature_k = feature[k];
-                            feature_o = orig_feature[k];
-                            q_cnt = feature_o.size|0;
-                            for (q = 0; q < q_cnt; q++) {
-                                feature_k.px[q] = (feature_o.px[q] * bpp) + feature_o.py[q] * step[feature_o.pz[q]];
-                                feature_k.pz[q] = feature_o.pz[q];
-                                feature_k.nx[q] = (feature_o.nx[q] * bpp) + feature_o.ny[q] * step[feature_o.nz[q]];
-                                feature_k.nz[q] = feature_o.nz[q];
-                            }
-                        }
-                    }
-                    u8[0] = pyr[i4].data; u8[1] = pyr[i4 + (next<<2)].data;
-                    for (q = 0; q < 4; q++) {
-                        u8[2] = pyr[i4 + (next<<3) + q].data;
-                        u8o[0] = (dx[q]*bpp2) + dy[q] * (pyr[i4].cols*bpp2); 
-                        u8o[1] = (dx[q]*bpp) + dy[q] * (pyr[i4 + (next<<2)].cols*bpp); 
-                        u8o[2] = 0;
-                        for (y = 0; y < qh; y++) {
-                            for (x = 0; x < qw; x++) {
-                                sum = 0;
-                                flag = true;
-                                sn = cascade.stage_classifier.length;
-                                for (j = 0; j < sn; j++) {
-                                    sum = 0;
-                                    alpha = cascade.stage_classifier[j].alpha;
-                                    feature = cascade.stage_classifier[j]._feature;
-                                    f_cnt = cascade.stage_classifier[j].count;
-                                    for (k = 0; k < f_cnt; k++) {
-                                        feature_k = feature[k];
-                                        pmin = u8[feature_k.pz[0]][u8o[feature_k.pz[0]] + feature_k.px[0]];
-                                        nmax = u8[feature_k.nz[0]][u8o[feature_k.nz[0]] + feature_k.nx[0]];
-                                        if (pmin <= nmax) {
-                                            sum += alpha[k << 1];
-                                        } else {
-                                            shortcut = true;
-                                            q_cnt = feature_k.size;
-                                            for (f = 1; f < q_cnt; f++) {
-                                                if (feature_k.pz[f] >= 0) {
-                                                    p = u8[feature_k.pz[f]][u8o[feature_k.pz[f]] + feature_k.px[f]];
-                                                    if (p < pmin) {
-                                                        if (p <= nmax) {
-                                                            shortcut = false;
-                                                            break;
-                                                        }
-                                                        pmin = p;
-                                                    }
-                                                }
-                                                if (feature_k.nz[f] >= 0) {
-                                                    n = u8[feature_k.nz[f]][u8o[feature_k.nz[f]] + feature_k.nx[f]];
-                                                    if (n > nmax) {
-                                                        if (pmin <= n) {
-                                                            shortcut = false;
-                                                            break;
-                                                        }
-                                                        nmax = n;
-                                                    }
-                                                }
-                                            }
-                                            sum += (shortcut) ? alpha[(k << 1) + 1] : alpha[k << 1];
-                                        }
-                                    }
-                                    if (sum < cascade.stage_classifier[j].threshold) {
-                                        flag = false;
-                                        break;
-                                    }
-                                }
-                                if (flag) {
-                                    seq.push({"x" : (x * 4 + dx[q] * 2) * scale_x,
-                                              "y" : (y * 4 + dy[q] * 2) * scale_y,
-                                              "width" : cascade.width * scale_x,
-                                              "height" : cascade.height * scale_y,
-                                              "neighbor" : 1,
-                                              "confidence" : sum});
-                                    ++x;
-                                    u8o[0] += bpp4;
-                                    u8o[1] += bpp2;
-                                    u8o[2] += bpp;
-                                }
-                                u8o[0] += bpp4;
-                                u8o[1] += bpp2;
-                                u8o[2] += bpp;
-                            }
-                            u8o[0] += paddings[0];
-                            u8o[1] += paddings[1];
-                            u8o[2] += paddings[2];
-                        }
-                    }
-                    scale_x *= scale;
-                    scale_y *= scale;
-                }
-
-                return seq;
-            },
-
-            // OpenCV method to group detected rectangles
-            group_rectangles: function(rects, min_neighbors) {
-                if (typeof min_neighbors === "undefined") { min_neighbors = 1; }
-                var i, j, n = rects.length;
-                var node = [];
-                for (i = 0; i < n; ++i) {
-                    node[i] = {"parent" : -1,
-                               "element" : rects[i],
-                               "rank" : 0};
-                }
-                for (i = 0; i < n; ++i) {
-                    if (!node[i].element)
-                        continue;
-                    var root = i;
-                    while (node[root].parent != -1)
-                        root = node[root].parent;
-                    for (j = 0; j < n; ++j) {
-                        if( i != j && node[j].element && _group_func(node[i].element, node[j].element)) {
-                            var root2 = j;
-
-                            while (node[root2].parent != -1)
-                                root2 = node[root2].parent;
-
-                            if(root2 != root) {
-                                if(node[root].rank > node[root2].rank)
-                                    node[root2].parent = root;
-                                else {
-                                    node[root].parent = root2;
-                                    if (node[root].rank == node[root2].rank)
-                                    node[root2].rank++;
-                                    root = root2;
-                                }
-
-                                /* compress path from node2 to the root: */
-                                var temp, node2 = j;
-                                while (node[node2].parent != -1) {
-                                    temp = node2;
-                                    node2 = node[node2].parent;
-                                    node[temp].parent = root;
-                                }
-
-                                /* compress path from node to the root: */
-                                node2 = i;
-                                while (node[node2].parent != -1) {
-                                    temp = node2;
-                                    node2 = node[node2].parent;
-                                    node[temp].parent = root;
-                                }
-                            }
-                        }
-                    }
-                }
-                var idx_seq = [];
-                var class_idx = 0;
-                for(i = 0; i < n; i++) {
-                    j = -1;
-                    var node1 = i;
-                    if(node[node1].element) {
-                        while (node[node1].parent != -1)
-                            node1 = node[node1].parent;
-                        if(node[node1].rank >= 0)
-                            node[node1].rank = ~class_idx++;
-                        j = ~node[node1].rank;
-                    }
-                    idx_seq[i] = j;
-                }
-                
-                var comps = [];
-                for (i = 0; i < class_idx+1; ++i) {
-                    comps[i] = {"neighbors" : 0,
-                                "x" : 0,
-                                "y" : 0,
-                                "width" : 0,
-                                "height" : 0,
-                                "confidence" : 0};
-                }
-
-                // count number of neighbors
-                for(i = 0; i < n; ++i) {
-                    var r1 = rects[i];
-                    var idx = idx_seq[i];
-
-                    if (comps[idx].neighbors == 0)
-                        comps[idx].confidence = r1.confidence;
-
-                    ++comps[idx].neighbors;
-
-                    comps[idx].x += r1.x;
-                    comps[idx].y += r1.y;
-                    comps[idx].width += r1.width;
-                    comps[idx].height += r1.height;
-                    comps[idx].confidence = Math.max(comps[idx].confidence, r1.confidence);
-                }
-
-                var seq2 = [];
-                // calculate average bounding box
-                for(i = 0; i < class_idx; ++i) {
-                    n = comps[i].neighbors;
-                    if (n >= min_neighbors)
-                        seq2.push({"x" : (comps[i].x * 2 + n) / (2 * n),
-                                   "y" : (comps[i].y * 2 + n) / (2 * n),
-                                   "width" : (comps[i].width * 2 + n) / (2 * n),
-                                   "height" : (comps[i].height * 2 + n) / (2 * n),
-                                   "neighbors" : comps[i].neighbors,
-                                   "confidence" : comps[i].confidence});
-                }
-
-                var result_seq = [];
-                n = seq2.length;
-                // filter out small face rectangles inside large face rectangles
-                for(i = 0; i < n; ++i) {
-                    var r1 = seq2[i];
-                    var flag = true;
-                    for(j = 0; j < n; ++j) {
-                        var r2 = seq2[j];
-                        var distance = (r2.width * 0.25 + 0.5)|0;
-
-                        if(i != j &&
-                           r1.x >= r2.x - distance &&
-                           r1.y >= r2.y - distance &&
-                           r1.x + r1.width <= r2.x + r2.width + distance &&
-                           r1.y + r1.height <= r2.y + r2.height + distance &&
-                           (r2.neighbors > Math.max(3, r1.neighbors) || r1.neighbors < 3)) {
-                            flag = false;
-                            break;
-                        }
-                    }
-
-                    if(flag)
-                        result_seq.push(r1);
-                }
-                return result_seq;
-            }
-
-        };
-
-    })();
-
-    global.bbf = bbf;
-
-})(jsfeat);
-/**
- * @author Eugene Zatepyakin / http://inspirit.ru/
- */
-
-(function(lib) {
-    "use strict";
-
-    {
-        // in commonjs, or when AMD wrapping has been applied, define its namespaces as exports
-        module.exports = lib;
-    }
-})(jsfeat);
-});
-
-var findFaceWorker = function(e) {
-	var window = self;
-
-	var jsfeat=jsfeat||{REVISION:"ALPHA"};(function(r){var o=1.192092896e-7;var l=1e-37;var m=256,i=512,h=1024,x=2048,w=4096;var A=1,n=2,b=3,p=4;var z=new Int32Array([-1,1,4,-1,4,-1,-1,-1,8,-1,-1,-1,-1,-1,-1,-1,8]);var y=(function(){return function(B){return(B&65280)}})();var k=(function(){return function(B){return(B&255)}})();var c=(function(){return function(B){return z[(B&65280)>>8]}})();var a=0;var f=1;var e=2;var u=3;var d=1;var s=1;var g=2;var v=(function(){function B(D,C){this.size=((D+7)|0)&-8;if(typeof C==="undefined"){this.buffer=new ArrayBuffer(this.size);}else{this.buffer=C;this.size=C.length;}this.u8=new Uint8Array(this.buffer);this.i32=new Int32Array(this.buffer);this.f32=new Float32Array(this.buffer);this.f64=new Float64Array(this.buffer);}return B})();var q=(function(){function B(F,D,E,C){this.type=y(E)|0;this.channel=k(E)|0;this.cols=F|0;this.rows=D|0;if(typeof C==="undefined"){this.allocate();}else{this.buffer=C;this.data=this.type&m?this.buffer.u8:(this.type&i?this.buffer.i32:(this.type&h?this.buffer.f32:this.buffer.f64));}}B.prototype.allocate=function(){delete this.data;delete this.buffer;this.buffer=new v((this.cols*c(this.type)*this.channel)*this.rows);this.data=this.type&m?this.buffer.u8:(this.type&i?this.buffer.i32:(this.type&h?this.buffer.f32:this.buffer.f64));};B.prototype.copy_to=function(D){var C=D.data,G=this.data;var E=0,F=(this.cols*this.rows*this.channel)|0;for(;E<F-4;E+=4){C[E]=G[E];C[E+1]=G[E+1];C[E+2]=G[E+2];C[E+3]=G[E+3];}for(;E<F;++E){C[E]=G[E];}};B.prototype.resize=function(F,D,C){if(typeof C==="undefined"){C=this.channel;}var E=(F*c(this.type)*C)*D;if(E>this.buffer.size){this.cols=F;this.rows=D;this.channel=C;this.allocate();}else{this.cols=F;this.rows=D;this.channel=C;}};return B})();var t=(function(){function B(C){this.levels=C|0;this.data=new Array(C);this.pyrdown=jsfeat.imgproc.pyrdown;}B.prototype.allocate=function(C,E,F){var D=this.levels;while(--D>=0){this.data[D]=new q(C>>D,E>>D,F);}};B.prototype.build=function(F,E){if(typeof E==="undefined"){E=true;}var H=2,D=F,C=this.data[0];if(!E){var G=F.cols*F.rows;while(--G>=0){C.data[G]=F.data[G];}}C=this.data[1];this.pyrdown(D,C);for(;H<this.levels;++H){D=C;C=this.data[H];this.pyrdown(D,C);}};return B})();var j=(function(){function B(C,G,E,F,D){if(typeof C==="undefined"){C=0;}if(typeof G==="undefined"){G=0;}if(typeof E==="undefined"){E=0;}if(typeof F==="undefined"){F=0;}if(typeof D==="undefined"){D=-1;}this.x=C;this.y=G;this.score=E;this.level=F;this.angle=D;}return B})();r.U8_t=m;r.S32_t=i;r.F32_t=h;r.S64_t=x;r.F64_t=w;r.C1_t=A;r.C2_t=n;r.C3_t=b;r.C4_t=p;r.U8C1_t=m|A;r.U8C3_t=m|b;r.U8C4_t=m|p;r.F32C1_t=h|A;r.F32C2_t=h|n;r.S32C1_t=i|A;r.S32C2_t=i|n;r.EPSILON=o;r.FLT_MIN=l;r.COLOR_RGBA2GRAY=a;r.COLOR_RGB2GRAY=f;r.COLOR_BGRA2GRAY=e;r.COLOR_BGR2GRAY=u;r.BOX_BLUR_NOSCALE=d;r.SVD_U_T=s;r.SVD_V_T=g;r.get_data_type=y;r.get_channel=k;r.get_data_type_size=c;r.data_t=v;r.matrix_t=q;r.pyramid_t=t;r.keypoint_t=j;})(jsfeat);(function(b){var a=(function(){var f=(function(){function g(h){this.next=null;this.data=new jsfeat.data_t(h);this.size=this.data.size;this.buffer=this.data.buffer;this.u8=this.data.u8;this.i32=this.data.i32;this.f32=this.data.f32;this.f64=this.data.f64;}g.prototype.resize=function(h){delete this.data;this.data=new jsfeat.data_t(h);this.size=this.data.size;this.buffer=this.data.buffer;this.u8=this.data.u8;this.i32=this.data.i32;this.f32=this.data.f32;this.f64=this.data.f64;};return g})();var e,c;var d=0;return{allocate:function(g,k){e=c=new 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ai=(-n+M+K-N+aq-aw-am+aj)*Q;var af=(-T+n+i-K+aj-ag-aw+ao)*Q;Y=w;X=u;W=f;V=Y*X*W;U=d;T=Y*U;S=X*T;R=e;n=Y*R;m=v;k=g;j=t;i=k*j;h=i*m;ax=j*m*R;aw=j*W;aq=j*R;ao=X*W;am=U*X;aj=U*m;ag=R*m;Q=1/(aw-aq-ao+am-aj+ag);O=Y*j;N=k*m;M=W*Y;L=U*M;K=k*X;I=i*R;G=k*R*m;D=W*U*X;C=U*k;var ak=-(S-V+n*m-m*T-i*X+h-ax+aw*X)*Q;var ah=(V-S-O*W+O*R+h-X*N+aj*X-ax)*Q;var ae=Y;var ad=(-R*T+L+K*W-i*W+I-G+aj*R-D)*Q;var ac=(-L+M*R-C*X+I-G+C*m+D-aw*R)*Q;var ab=k;var aa=(-n+M+K-N+aq-aw-am+aj)*Q;var Z=(-T+n+i-K+aj-ag-aw+ao)*Q;X=an-af*al;W=av*an;V=av*al;T=ap*au;S=ar*ap;n=au*ai;var l=ar*ai;j=1/(W-V*af-T+S*af+n*al-l*an);h=-ap+al*ai;var at=-ap*af+an*ai;ag=-au+ar*af;var P=av-l;N=av*af-n;M=-au*al+ar*an;var J=V-S;var H=W-T;G=X*j;var F=ag*j;var E=M*j;var s=x.data;s[0]=ak*G+ah*(h*j)-ae*(at*j);s[1]=ak*F+ah*(P*j)-ae*(N*j);s[2]=-ak*E-ah*(J*j)+ae*(H*j);s[3]=ad*G+ac*(h*j)-ab*(at*j);s[4]=ad*F+ac*(P*j)-ab*(N*j);s[5]=-ad*E-ac*(J*j)+ab*(H*j);s[6]=aa*G+Z*(h*j)-at*j;s[7]=aa*F+Z*(P*j)-N*j;s[8]=-aa*E-Z*(J*j)+H*j;},qsort:function(o,J,s,u){var D=7;var v,r,q,p;var C=0,j=0,G=0,B=0,z=0,A=0,e=0,y=0,E=0;var x=0,w=0,h=0,g=0,l=0,I=0,H=0,F=0,f=0;var 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t=0;for(;r<e;o+=e,r++){s=r;l=o+r;d=l;for(p=r;p<e;d++,l+=e,p++){m=s;f=p;t=0;for(n=0;n<q;m+=e,f+=e,n++){t+=u[m]*u[f];}h[d]=t;h[l]=t;}}},identity_3x3:function(e,d){if(typeof d==="undefined"){d=1;}var c=e.data;c[0]=c[4]=c[8]=d;c[1]=c[2]=c[3]=0;c[5]=c[6]=c[7]=0;},invert_3x3:function(s,e){var o=s.data,h=e.data;var n=o[4];var m=o[8];var l=o[5];var k=o[7];var j=o[0];var i=j*n;var v=j*l;var u=o[3];var t=o[1];var r=u*t;var q=o[2];var p=u*q;var g=o[6];var f=g*t;var d=g*q;var c=1/(i*m-v*k-r*m+p*k+f*l-d*n);h[0]=(n*m-l*k)*c;h[1]=-(t*m-q*k)*c;h[2]=-(-t*l+q*n)*c;h[3]=-(u*m-l*g)*c;h[4]=(j*m-d)*c;h[5]=-(v-p)*c;h[6]=-(-u*k+n*g)*c;h[7]=-(j*k-f)*c;h[8]=(i-r)*c;},multiply_3x3:function(r,v,t){var y=r.data,z=v.data,l=t.data;var x=z[0],w=z[1],u=z[2];var s=z[3],q=z[4],p=z[5];var o=z[6],n=z[7],m=z[8];var k=l[0],j=l[1],i=l[2];var h=l[3],g=l[4],f=l[5];var e=l[6],d=l[7],c=l[8];y[0]=x*k+w*h+u*e;y[1]=x*j+w*g+u*d;y[2]=x*i+w*f+u*c;y[3]=s*k+q*h+p*e;y[4]=s*j+q*g+p*d;y[5]=s*i+q*f+p*c;y[6]=o*k+n*h+m*e;y[7]=o*j+n*g+m*d;y[8]=o*i+n*f+m*c;},mat3x3_determinant:function(d){var c=d.data;return c[0]*c[4]*c[8]-c[0]*c[5]*c[7]-c[3]*c[1]*c[8]+c[3]*c[2]*c[7]+c[6]*c[1]*c[5]-c[6]*c[2]*c[4]},determinant_3x3:function(h,g,f,e,d,c,k,j,i){return h*d*i-h*c*j-e*g*i+e*f*j+k*g*c-k*f*d}}})();b.matmath=a;})(jsfeat);(function(b){var a=(function(){var f=function(g,j,i,h){h=g[j];g[j]=g[i];g[i]=h;};var d=function(h,g){h=Math.abs(h);g=Math.abs(g);if(h>g){g/=h;return h*Math.sqrt(1+g*g)}if(g>0){h/=g;return g*Math.sqrt(1+h*h)}return 0};var c=function(H,o,q,r,h,I){var C=jsfeat.EPSILON;var N=0,M=0,L=0,J=0,K=0,D=0,R=0,G=0;var u=0,v=I*I*30;var E=0,U=0,F=0,x=0,z=0,B=0,Q=0,T=0,w=0;var P=jsfeat.cache.get_buffer(I<<2);var S=jsfeat.cache.get_buffer(I<<2);var O=P.i32;var g=S.i32;if(r){for(;N<I;N++){L=N*h;for(M=0;M<I;M++){r[L+M]=0;}r[L+N]=1;}}for(L=0;L<I;L++){q[L]=H[(o+1)*L];if(L<I-1){for(J=L+1,E=Math.abs(H[o*L+J]),N=L+2;N<I;N++){U=Math.abs(H[o*L+N]);if(E<U){E=U,J=N;}}O[L]=J;}if(L>0){for(J=0,E=Math.abs(H[L]),N=1;N<L;N++){U=Math.abs(H[o*N+L]);if(E<U){E=U,J=N;}}g[L]=J;}}if(I>1){for(;u<v;u++){for(L=0,E=Math.abs(H[O[0]]),N=1;N<I-1;N++){U=Math.abs(H[o*N+O[N]]);if(E<U){E=U,L=N;}}K=O[L];for(N=1;N<I;N++){U=Math.abs(H[o*g[N]+N]);if(E<U){E=U,L=g[N],K=N;}}F=H[o*L+K];if(Math.abs(F)<=C){break}x=(q[K]-q[L])*0.5;z=Math.abs(x)+d(F,x);B=d(F,z);Q=z/B;B=F/B;z=(F/z)*F;if(x<0){B=-B,z=-z;}H[o*L+K]=0;q[L]-=z;q[K]+=z;for(N=0;N<L;N++){R=(o*N+L);G=(o*N+K);T=H[R];w=H[G];H[R]=T*Q-w*B;H[G]=T*B+w*Q;}for(N=(L+1);N<K;N++){R=(o*L+N);G=(o*N+K);T=H[R];w=H[G];H[R]=T*Q-w*B;H[G]=T*B+w*Q;}N=K+1;R=(o*L+N);G=(o*K+N);for(;N<I;N++,R++,G++){T=H[R];w=H[G];H[R]=T*Q-w*B;H[G]=T*B+w*Q;}if(r){R=h*L;G=h*K;for(N=0;N<I;N++,R++,G++){T=r[R];w=r[G];r[R]=T*Q-w*B;r[G]=T*B+w*Q;}}for(M=0;M<2;M++){D=M==0?L:K;if(D<I-1){for(J=D+1,E=Math.abs(H[o*D+J]),N=D+2;N<I;N++){U=Math.abs(H[o*D+N]);if(E<U){E=U,J=N;}}O[D]=J;}if(D>0){for(J=0,E=Math.abs(H[D]),N=1;N<D;N++){U=Math.abs(H[o*N+D]);if(E<U){E=U,J=N;}}g[D]=J;}}}}for(L=0;L<I-1;L++){J=L;for(N=L+1;N<I;N++){if(q[J]<q[N]){J=N;}}if(L!=J){f(q,J,L,E);if(r){for(N=0;N<I;N++){f(r,h*J+N,h*L+N,E);}}}}jsfeat.cache.put_buffer(P);jsfeat.cache.put_buffer(S);};var e=function(D,l,h,M,v,T,S,E){var C=jsfeat.EPSILON*2;var q=jsfeat.FLT_MIN;var X=0,V=0,U=0,A=0,u=Math.max(T,30);var K=0,J=0,R=0,Q=0,F=0;var Y=0,O=0,N=0;var H=0,G=0,x=0,I=0,w=0,L=0,aa=0,P=0,Z=0;var z=4660;var B=0,y=0,o=0;var r=jsfeat.cache.get_buffer(S<<3);var g=r.f64;for(;X<S;X++){for(U=0,x=0;U<T;U++){N=D[X*l+U];x+=N*N;}g[X]=x;if(M){for(U=0;U<S;U++){M[X*v+U]=0;}M[X*v+X]=1;}}for(;A<u;A++){F=0;for(X=0;X<S-1;X++){for(V=X+1;V<S;V++){K=(X*l)|0,J=(V*l)|0;aa=g[X],P=0,Z=g[V];U=2;P+=D[K]*D[J];P+=D[K+1]*D[J+1];for(;U<T;U++){P+=D[K+U]*D[J+U];}if(Math.abs(P)<=C*Math.sqrt(aa*Z)){continue}P*=2;I=aa-Z,w=d(P,I);if(I<0){L=(w-I)*0.5;O=Math.sqrt(L/w);Y=(P/(w*O*2));}else{Y=Math.sqrt((w+I)/(w*2));O=(P/(w*Y*2));}aa=0,Z=0;U=2;H=Y*D[K]+O*D[J];G=-O*D[K]+Y*D[J];D[K]=H;D[J]=G;aa+=H*H;Z+=G*G;H=Y*D[K+1]+O*D[J+1];G=-O*D[K+1]+Y*D[J+1];D[K+1]=H;D[J+1]=G;aa+=H*H;Z+=G*G;for(;U<T;U++){H=Y*D[K+U]+O*D[J+U];G=-O*D[K+U]+Y*D[J+U];D[K+U]=H;D[J+U]=G;aa+=H*H;Z+=G*G;}g[X]=aa;g[V]=Z;F=1;if(M){R=(X*v)|0,Q=(V*v)|0;U=2;H=Y*M[R]+O*M[Q];G=-O*M[R]+Y*M[Q];M[R]=H;M[Q]=G;H=Y*M[R+1]+O*M[Q+1];G=-O*M[R+1]+Y*M[Q+1];M[R+1]=H;M[Q+1]=G;for(;U<S;U++){H=Y*M[R+U]+O*M[Q+U];G=-O*M[R+U]+Y*M[Q+U];M[R+U]=H;M[Q+U]=G;}}}}if(F==0){break}}for(X=0;X<S;X++){for(U=0,x=0;U<T;U++){N=D[X*l+U];x+=N*N;}g[X]=Math.sqrt(x);}for(X=0;X<S-1;X++){V=X;for(U=X+1;U<S;U++){if(g[V]<g[U]){V=U;}}if(X!=V){f(g,X,V,x);if(M){for(U=0;U<T;U++){f(D,X*l+U,V*l+U,N);}for(U=0;U<S;U++){f(M,X*v+U,V*v+U,N);}}}}for(X=0;X<S;X++){h[X]=g[X];}if(!M){jsfeat.cache.put_buffer(r);return}for(X=0;X<E;X++){x=X<S?g[X]:0;while(x<=q){y=(1/T);for(U=0;U<T;U++){z=(z*214013+2531011);B=(((z>>16)&32767)&256)!=0?y:-y;D[X*l+U]=B;}for(A=0;A<2;A++){for(V=0;V<X;V++){x=0;for(U=0;U<T;U++){x+=D[X*l+U]*D[V*l+U];}o=0;for(U=0;U<T;U++){N=(D[X*l+U]-x*D[V*l+U]);D[X*l+U]=N;o+=Math.abs(N);}o=o?1/o:0;for(U=0;U<T;U++){D[X*l+U]*=o;}}}x=0;for(U=0;U<T;U++){N=D[X*l+U];x+=N*N;}x=Math.sqrt(x);}O=(1/x);for(U=0;U<T;U++){D[X*l+U]*=O;}}jsfeat.cache.put_buffer(r);};return{lu_solve:function(l,g){var q=0,o=0,n=0,h=1,v=l.cols;var w=l.data,r=g.data;var x,m,u,y;for(q=0;q<v;q++){n=q;for(o=q+1;o<v;o++){if(Math.abs(w[o*v+q])>Math.abs(w[n*v+q])){n=o;}}if(Math.abs(w[n*v+q])<jsfeat.EPSILON){return 0}if(n!=q){for(o=q;o<v;o++){f(w,q*v+o,n*v+o,x);}f(r,q,n,x);h=-h;}u=-1/w[q*v+q];for(o=q+1;o<v;o++){m=w[o*v+q]*u;for(n=q+1;n<v;n++){w[o*v+n]+=m*w[q*v+n];}r[o]+=m*r[q];}w[q*v+q]=-u;}for(q=v-1;q>=0;q--){y=r[q];for(n=q+1;n<v;n++){y-=w[q*v+n]*r[n];}r[q]=y*w[q*v+q];}return 1},cholesky_solve:function(h,g){var l=0,v=0,r=0,s=0,n=0,p=0,o=0;var u=h.cols;var t=h.data,q=g.data;var k,m;for(l=0;l<u;l++){m=1;s=(l*u);n=s;for(v=l;v<u;v++){k=t[(n+l)];for(r=0;r<l;r++){k-=t[(r*u+l)]*t[(n+r)];}if(v==l){t[(n+l)]=k;if(k==0){return 0}m=1/k;}else{t[(s+v)]=k;t[(n+l)]=k*m;}n=(n+u);}}s=0;for(p=0;p<u;p++){k=q[p];for(o=0;o<p;o++){k-=t[(s+o)]*q[o];}q[p]=k;s=(s+u);}s=0;for(p=0;p<u;p++){q[p]/=t[(s+p)];s=(s+u);}p=(u-1);for(;p>=0;p--){k=q[p];o=(p+1);s=(o*u);for(;o<u;o++){k-=t[(s+p)]*q[o];s=(s+u);}q[p]=k;}return 1},svd_decompose:function(t,k,p,l,o){if(typeof o==="undefined"){o=0;}var r=0,z=0,x=0,g=t.rows,D=t.cols,w=g,v=D;var s=t.type|jsfeat.C1_t;if(w<v){r=1;z=w;w=v;v=z;}var q=jsfeat.cache.get_buffer((w*w)<<3);var h=jsfeat.cache.get_buffer(v<<3);var C=jsfeat.cache.get_buffer((v*v)<<3);var u=new jsfeat.matrix_t(w,w,s,q.data);var B=new jsfeat.matrix_t(1,v,s,h.data);var y=new jsfeat.matrix_t(v,v,s,C.data);if(r==0){jsfeat.matmath.transpose(u,t);}else{for(z=0;z<D*g;z++){u.data[z]=t.data[z];}for(;z<v*w;z++){u.data[z]=0;}}e(u.data,w,B.data,y.data,v,w,v,w);if(k){for(z=0;z<v;z++){k.data[z]=B.data[z];}for(;z<D;z++){k.data[z]=0;}}if(r==0){if(p&&(o&jsfeat.SVD_U_T)){z=w*w;while(--z>=0){p.data[z]=u.data[z];}}else{if(p){jsfeat.matmath.transpose(p,u);}}if(l&&(o&jsfeat.SVD_V_T)){z=v*v;while(--z>=0){l.data[z]=y.data[z];}}else{if(l){jsfeat.matmath.transpose(l,y);}}}else{if(p&&(o&jsfeat.SVD_U_T)){z=v*v;while(--z>=0){p.data[z]=y.data[z];}}else{if(p){jsfeat.matmath.transpose(p,y);}}if(l&&(o&jsfeat.SVD_V_T)){z=w*w;while(--z>=0){l.data[z]=u.data[z];}}else{if(l){jsfeat.matmath.transpose(l,u);}}}jsfeat.cache.put_buffer(q);jsfeat.cache.put_buffer(h);jsfeat.cache.put_buffer(C);},svd_solve:function(v,l,s){var E=0,C=0,z=0;var w=0,u=0;var o=v.rows,p=v.cols;var h=0,I=0,x=0;var r=v.type|jsfeat.C1_t;var F=jsfeat.cache.get_buffer((o*o)<<3);var m=jsfeat.cache.get_buffer(p<<3);var H=jsfeat.cache.get_buffer((p*p)<<3);var t=new jsfeat.matrix_t(o,o,r,F.data);var G=new jsfeat.matrix_t(1,p,r,m.data);var D=new jsfeat.matrix_t(p,p,r,H.data);var n=s.data,y=t.data,q=G.data,g=D.data;this.svd_decompose(v,G,t,D,0);x=jsfeat.EPSILON*q[0]*p;for(;E<p;E++,u+=p){I=0;for(C=0;C<p;C++){if(q[C]>x){for(z=0,h=0,w=0;z<o;z++,w+=p){h+=y[w+C]*n[z];}I+=h*g[u+C]/q[C];}}l.data[E]=I;}jsfeat.cache.put_buffer(F);jsfeat.cache.put_buffer(m);jsfeat.cache.put_buffer(H);},svd_invert:function(E,t){var C=0,z=0,y=0;var v=0,s=0,h=0;var n=t.rows,o=t.cols;var l=0,w=0;var q=t.type|jsfeat.C1_t;var D=jsfeat.cache.get_buffer((n*n)<<3);var m=jsfeat.cache.get_buffer(o<<3);var G=jsfeat.cache.get_buffer((o*o)<<3);var u=new jsfeat.matrix_t(n,n,q,D.data);var F=new jsfeat.matrix_t(1,o,q,m.data);var B=new jsfeat.matrix_t(o,o,q,G.data);var r=E.data,x=u.data,p=F.data,g=B.data;this.svd_decompose(t,F,u,B,0);w=jsfeat.EPSILON*p[0]*o;for(;C<o;C++,s+=o){for(z=0,v=0;z<n;z++,h++){for(y=0,l=0;y<o;y++,v++){if(p[y]>w){l+=g[s+y]*x[v]/p[y];}}r[h]=l;}}jsfeat.cache.put_buffer(D);jsfeat.cache.put_buffer(m);jsfeat.cache.put_buffer(G);},eigenVV:function(j,p,r){var k=j.cols,m=k*k;var g=j.type|jsfeat.C1_t;var o=jsfeat.cache.get_buffer((k*k)<<3);var h=jsfeat.cache.get_buffer(k<<3);var l=new jsfeat.matrix_t(k,k,g,o.data);var q=new jsfeat.matrix_t(1,k,g,h.data);while(--m>=0){l.data[m]=j.data[m];}c(l.data,k,q.data,p?p.data:null,k,k);if(r){while(--k>=0){r.data[k]=q.data[k];}}jsfeat.cache.put_buffer(o);jsfeat.cache.put_buffer(h);}}})();b.linalg=a;})(jsfeat);(function(a){var c=(function(){var m=function(p){return p*p};var e=function(z,A,x,w,u){var t=0;var y=0,s=0,q=0,C=0;var v=0,r=0,p=0,B=0;var E=0,D=0;for(;t<u;++t){y+=z[t].x;s+=z[t].y;v+=A[t].x;r+=A[t].y;}y/=u;s/=u;v/=u;r/=u;for(t=0;t<u;++t){E=z[t].x-y;D=z[t].y-s;q+=Math.sqrt(E*E+D*D);E=A[t].x-v;D=A[t].y-r;p+=Math.sqrt(E*E+D*D);}q/=u;p/=u;C=Math.SQRT2/q;B=Math.SQRT2/p;x[0]=x[4]=C;x[2]=-y*C;x[5]=-s*C;x[1]=x[3]=x[6]=x[7]=0;x[8]=1;w[0]=w[4]=B;w[2]=-v*B;w[5]=-r*B;w[1]=w[3]=w[6]=w[7]=0;w[8]=1;};var h=function(x,u){var q=0,p=0,r=(u-1)|0;var w=0,t=0,v=0,s=0;for(;q<r;++q){w=x[q].x-x[r].x;t=x[q].y-x[r].y;for(p=0;p<q;++p){v=x[p].x-x[r].x;s=x[p].y-x[r].y;if(Math.abs(v*t-s*w)<=jsfeat.EPSILON*(Math.abs(w)+Math.abs(t)+Math.abs(v)+Math.abs(s))){return true}}}return false};var k=new jsfeat.matrix_t(3,3,jsfeat.F32_t|jsfeat.C1_t);var i=new jsfeat.matrix_t(3,3,jsfeat.F32_t|jsfeat.C1_t);var o=new jsfeat.matrix_t(6,6,jsfeat.F32_t|jsfeat.C1_t);var n=new jsfeat.matrix_t(6,1,jsfeat.F32_t|jsfeat.C1_t);var j=(function(){function p(){}p.prototype.run=function(D,q,r,t){var G=0,F=0;var B=r.type|jsfeat.C1_t;var J=r.data,v=k.data,E=i.data;var x,w,A=0,z=0;e(D,q,v,E,t);var u=jsfeat.cache.get_buffer((2*t*6)<<3);var y=jsfeat.cache.get_buffer((2*t)<<3);var C=new jsfeat.matrix_t(6,2*t,B,u.data);var H=new jsfeat.matrix_t(1,2*t,B,y.data);var I=C.data,s=H.data;for(;G<t;++G){x=D[G];w=q[G];A=v[0]*x.x+v[1]*x.y+v[2];z=v[3]*x.x+v[4]*x.y+v[5];F=G*2*6;I[F]=A,I[F+1]=z,I[F+2]=1,I[F+3]=0,I[F+4]=0,I[F+5]=0;F+=6;I[F]=0,I[F+1]=0,I[F+2]=0,I[F+3]=A,I[F+4]=z,I[F+5]=1;s[G<<1]=E[0]*w.x+E[1]*w.y+E[2];s[(G<<1)+1]=E[3]*w.x+E[4]*w.y+E[5];}jsfeat.matmath.multiply_AtA(o,C);jsfeat.matmath.multiply_AtB(n,C,H);jsfeat.linalg.lu_solve(o,n);J[0]=n.data[0],J[1]=n.data[1],J[2]=n.data[2];J[3]=n.data[3],J[4]=n.data[4],J[5]=n.data[5];J[6]=0,J[7]=0,J[8]=1;jsfeat.matmath.invert_3x3(i,i);jsfeat.matmath.multiply_3x3(r,i,r);jsfeat.matmath.multiply_3x3(r,r,k);jsfeat.cache.put_buffer(u);jsfeat.cache.put_buffer(y);return 1};p.prototype.error=function(v,w,t,r,u){var s=0;var y,x;var q=t.data;for(;s<u;++s){y=v[s];x=w[s];r[s]=m(x.x-q[0]*y.x-q[1]*y.y-q[2])+m(x.y-q[3]*y.x-q[4]*y.y-q[5]);}};p.prototype.check_subset=function(s,r,q){return true};return p})();var g=new jsfeat.matrix_t(9,9,jsfeat.F32_t|jsfeat.C1_t);var f=new jsfeat.matrix_t(9,9,jsfeat.F32_t|jsfeat.C1_t);var l=(function(){function p(){}p.prototype.run=function(I,r,v,C){var L=0,K=0;var O=v.data,D=k.data,J=i.data;var M=g.data,N=f.data;var H=0,G=0,s=0,q=0;var u=0,t=0,B=0,A=0,z=0,w=0,F=0,E=0;for(;L<C;++L){B+=r[L].x;A+=r[L].y;F+=I[L].x;E+=I[L].y;}B/=C;A/=C;F/=C;E/=C;for(L=0;L<C;++L){u+=Math.abs(r[L].x-B);t+=Math.abs(r[L].y-A);z+=Math.abs(I[L].x-F);w+=Math.abs(I[L].y-E);}if(Math.abs(u)<jsfeat.EPSILON||Math.abs(t)<jsfeat.EPSILON||Math.abs(z)<jsfeat.EPSILON||Math.abs(w)<jsfeat.EPSILON){return 0}u=C/u;t=C/t;z=C/z;w=C/w;D[0]=z;D[1]=0;D[2]=-F*z;D[3]=0;D[4]=w;D[5]=-E*w;D[6]=0;D[7]=0;D[8]=1;J[0]=1/u;J[1]=0;J[2]=B;J[3]=0;J[4]=1/t;J[5]=A;J[6]=0;J[7]=0;J[8]=1;L=81;while(--L>=0){M[L]=0;}for(L=0;L<C;++L){H=(r[L].x-B)*u;G=(r[L].y-A)*t;s=(I[L].x-F)*z;q=(I[L].y-E)*w;M[0]+=s*s;M[1]+=s*q;M[2]+=s;M[6]+=s*-H*s;M[7]+=s*-H*q;M[8]+=s*-H;M[10]+=q*q;M[11]+=q;M[15]+=q*-H*s;M[16]+=q*-H*q;M[17]+=q*-H;M[20]+=1;M[24]+=-H*s;M[25]+=-H*q;M[26]+=-H;M[30]+=s*s;M[31]+=s*q;M[32]+=s;M[33]+=s*-G*s;M[34]+=s*-G*q;M[35]+=s*-G;M[40]+=q*q;M[41]+=q;M[42]+=q*-G*s;M[43]+=q*-G*q;M[44]+=q*-G;M[50]+=1;M[51]+=-G*s;M[52]+=-G*q;M[53]+=-G;M[60]+=-H*s*-H*s+-G*s*-G*s;M[61]+=-H*s*-H*q+-G*s*-G*q;M[62]+=-H*s*-H+-G*s*-G;M[70]+=-H*q*-H*q+-G*q*-G*q;M[71]+=-H*q*-H+-G*q*-G;M[80]+=-H*-H+-G*-G;}for(L=0;L<9;++L){for(K=0;K<L;++K){M[L*9+K]=M[K*9+L];}}jsfeat.linalg.eigenVV(g,f);O[0]=N[72],O[1]=N[73],O[2]=N[74];O[3]=N[75],O[4]=N[76],O[5]=N[77];O[6]=N[78],O[7]=N[79],O[8]=N[80];jsfeat.matmath.multiply_3x3(v,i,v);jsfeat.matmath.multiply_3x3(v,v,k);H=1/O[8];O[0]*=H;O[1]*=H;O[2]*=H;O[3]*=H;O[4]*=H;O[5]*=H;O[6]*=H;O[7]*=H;O[8]=1;return 1};p.prototype.error=function(w,x,u,r,v){var t=0;var z,y,s=0,B=0,A=0;var q=u.data;for(;t<v;++t){z=w[t];y=x[t];s=1/(q[6]*z.x+q[7]*z.y+1);B=(q[0]*z.x+q[1]*z.y+q[2])*s-y.x;A=(q[3]*z.x+q[4]*z.y+q[5])*s-y.y;r[t]=(B*B+A*A);}};p.prototype.check_subset=function(M,s,B){if(B==4){var N=0;var I=M[0],H=M[1],G=M[2],E=M[3];var A=s[0],y=s[1],w=s[2],u=s[3];var L=I.x,K=I.y,J=1;var V=H.x,U=H.y,T=1;var z=G.x,x=G.y,v=1;var t=A.x,r=A.y,q=1;var F=y.x,D=y.y,C=1;var Q=w.x,P=w.y,O=1;var S=jsfeat.matmath.determinant_3x3(L,K,J,V,U,T,z,x,v);var R=jsfeat.matmath.determinant_3x3(t,r,q,F,D,C,Q,P,O);if(S*R<0){N++;}L=H.x,K=H.y;V=G.x,U=G.y;z=E.x,x=E.y;t=y.x,r=y.y;F=w.x,D=w.y;Q=u.x,P=u.y;S=jsfeat.matmath.determinant_3x3(L,K,J,V,U,T,z,x,v);R=jsfeat.matmath.determinant_3x3(t,r,q,F,D,C,Q,P,O);if(S*R<0){N++;}L=I.x,K=I.y;V=G.x,U=G.y;z=E.x,x=E.y;t=A.x,r=A.y;F=w.x,D=w.y;Q=u.x,P=u.y;S=jsfeat.matmath.determinant_3x3(L,K,J,V,U,T,z,x,v);R=jsfeat.matmath.determinant_3x3(t,r,q,F,D,C,Q,P,O);if(S*R<0){N++;}L=I.x,K=I.y;V=H.x,U=H.y;z=E.x,x=E.y;t=A.x,r=A.y;F=y.x,D=y.y;Q=u.x,P=u.y;S=jsfeat.matmath.determinant_3x3(L,K,J,V,U,T,z,x,v);R=jsfeat.matmath.determinant_3x3(t,r,q,F,D,C,Q,P,O);if(S*R<0){N++;}if(N!=0&&N!=4){return false}}return true};return p})();return{affine2d:j,homography2d:l}})();var b=(function(){function e(h,i,f,g){if(typeof h==="undefined"){h=0;}if(typeof i==="undefined"){i=0.5;}if(typeof f==="undefined"){f=0.5;}if(typeof g==="undefined"){g=0.99;}this.size=h;this.thresh=i;this.eps=f;this.prob=g;}e.prototype.update_iters=function(g,i){var h=Math.log(1-this.prob);var f=Math.log(1-Math.pow(1-g,this.size));return(f>=0||-h>=i*(-f)?i:Math.round(h/f))|0};return e})();var d=(function(){var e=function(l,q,r,p,t,m,g){var v=1000;var s=[];var n=0,k=0,u=0,h=0,o=false;for(;u<v;++u){n=0;for(;n<p&&u<v;){o=false;h=0;while(!o){o=true;h=s[n]=Math.floor(Math.random()*t)|0;for(k=0;k<n;++k){if(h==s[k]){o=false;break}}}m[n]=q[h];g[n]=r[h];if(!l.check_subset(m,g,n+1)){u++;continue}++n;}break}return(n==p&&u<v)};var f=function(k,m,p,q,o,g,h,s){var j=0,l=0,n=0;var r=g*g;k.error(p,q,m,h,o);for(;l<o;++l){n=h[l]<=r;s[l]=n;j+=n;}return j};return{ransac:function(E,m,x,i,l,j,y,g){if(typeof g==="undefined"){g=1000;}if(l<E.size){return false}var v=E.size;var A=g,z=0;var q=false;var D=[];var C=[];var r=false;var G=j.cols,w=j.rows;var u=j.type|jsfeat.C1_t;var B=jsfeat.cache.get_buffer((G*w)<<3);var h=jsfeat.cache.get_buffer(l);var t=jsfeat.cache.get_buffer(l<<2);var o=new jsfeat.matrix_t(G,w,u,B.data);var s=new jsfeat.matrix_t(l,1,jsfeat.U8C1_t,h.data);var F=-1,p=0;var n=0;var k=t.f32;if(l==v){if(m.run(x,i,o,l)<=0){jsfeat.cache.put_buffer(B);jsfeat.cache.put_buffer(h);jsfeat.cache.put_buffer(t);return false}o.copy_to(j);if(y){while(--l>=0){y.data[l]=1;}}jsfeat.cache.put_buffer(B);jsfeat.cache.put_buffer(h);jsfeat.cache.put_buffer(t);return true}for(;z<A;++z){r=e(m,x,i,v,l,D,C);if(!r){if(z==0){jsfeat.cache.put_buffer(B);jsfeat.cache.put_buffer(h);jsfeat.cache.put_buffer(t);return false}break}n=m.run(D,C,o,v);if(n<=0){continue}p=f(m,o,x,i,l,E.thresh,k,s.data);if(p>Math.max(F,v-1)){o.copy_to(j);F=p;if(y){s.copy_to(y);}A=E.update_iters((l-p)/l,A);q=true;}}jsfeat.cache.put_buffer(B);jsfeat.cache.put_buffer(h);jsfeat.cache.put_buffer(t);return q},lmeds:function(H,n,z,i,l,j,B,g){if(typeof g==="undefined"){g=1000;}if(l<H.size){return false}var w=H.size;var D=g,C=0;var r=false;var G=[];var F=[];var s=false;var I=j.cols,y=j.rows;var v=j.type|jsfeat.C1_t;var E=jsfeat.cache.get_buffer((I*y)<<3);var h=jsfeat.cache.get_buffer(l);var u=jsfeat.cache.get_buffer(l<<2);var p=new jsfeat.matrix_t(I,y,v,E.data);var t=new jsfeat.matrix_t(l,1,jsfeat.U8_t|jsfeat.C1_t,h.data);var q=0;var o=0;var k=u.f32;var A=1000000000,x=0,m=0;H.eps=0.45;D=H.update_iters(H.eps,D);if(l==w){if(n.run(z,i,p,l)<=0){jsfeat.cache.put_buffer(E);jsfeat.cache.put_buffer(h);jsfeat.cache.put_buffer(u);return false}p.copy_to(j);if(B){while(--l>=0){B.data[l]=1;}}jsfeat.cache.put_buffer(E);jsfeat.cache.put_buffer(h);jsfeat.cache.put_buffer(u);return true}for(;C<D;++C){s=e(n,z,i,w,l,G,F);if(!s){if(C==0){jsfeat.cache.put_buffer(E);jsfeat.cache.put_buffer(h);jsfeat.cache.put_buffer(u);return false}break}o=n.run(G,F,p,w);if(o<=0){continue}n.error(z,i,p,k,l);m=jsfeat.math.median(k,0,l-1);if(m<A){A=m;p.copy_to(j);r=true;}}if(r){x=2.5*1.4826*(1+5/(l-w))*Math.sqrt(A);x=Math.max(x,0.001);q=f(n,j,z,i,l,x,k,t.data);if(B){t.copy_to(B);}r=q>=w;}jsfeat.cache.put_buffer(E);jsfeat.cache.put_buffer(h);jsfeat.cache.put_buffer(u);return 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z=R.i32;for(;x<O;x++){D=x*I,B=D+I;t=(D+1-0.000001)|0,s=B|0;t=Math.min(t,v-1);s=Math.min(s,v-1);if(t>D){z[F++]=(x*y)|0;z[F++]=((t-1)*y)|0;z[F++]=((t-D)*256)|0;r++;}for(C=t;C<s;C++){r++;z[F++]=(x*y)|0;z[F++]=(C*y)|0;z[F++]=256;}if(B-s>0.001){r++;z[F++]=(x*y)|0;z[F++]=(s*y)|0;z[F++]=((B-s)*256)|0;}}for(x=0;x<O*y;x++){L[x]=j[x]=0;}u=0;for(A=0;A<J;A++){Q=v*A;for(F=0;F<r;F++){K=z[F*3];t=z[F*3+1];o=z[F*3+2];for(G=0;G<y;G++){L[K+G]+=P[Q+t+G]*o;}}if((u+1)*H<=A+1||A==J-1){M=(Math.max(A+1-(u+1)*H,0)*256)|0;E=256-M;N=O*u;if(M<=0){for(x=0;x<O*y;x++){m[N+x]=Math.min(Math.max((j[x]+L[x]*256)/n,0),255);j[x]=L[x]=0;}}else{for(x=0;x<O*y;x++){m[N+x]=Math.min(Math.max((j[x]+L[x]*E)/n,0),255);j[x]=L[x]*M;L[x]=0;}}u++;}else{for(x=0;x<O*y;x++){j[x]+=L[x]*256;L[x]=0;}}}jsfeat.cache.put_buffer(g);jsfeat.cache.put_buffer(l);jsfeat.cache.put_buffer(R);};var f=function(p,S,N,o){var q=0;var x=p.channel,u=p.cols,I=p.rows;var O=p.data,m=S.data;var H=u/N,G=I/o;var Q=1/(H*G);var v=0,t=0,B=0,z=0,s=0,r=0,F=0,E=0,C=0,A=0;var P=0,M=0,J=0,n=0,L=0,D=0;var l=jsfeat.cache.get_buffer((N*x)<<2);var g=jsfeat.cache.get_buffer((N*x)<<2);var R=jsfeat.cache.get_buffer((u*2*3)<<2);var K=l.f32;var j=g.f32;var y=R.f32;for(;v<N;v++){C=v*H,A=C+H;s=(C+1-0.000001)|0,r=A|0;s=Math.min(s,u-1);r=Math.min(r,u-1);if(s>C){q++;y[E++]=((s-1)*x)|0;y[E++]=(v*x)|0;y[E++]=(s-C)*Q;}for(B=s;B<r;B++){q++;y[E++]=(B*x)|0;y[E++]=(v*x)|0;y[E++]=Q;}if(A-r>0.001){q++;y[E++]=(r*x)|0;y[E++]=(v*x)|0;y[E++]=(A-r)*Q;}}for(v=0;v<N*x;v++){K[v]=j[v]=0;}t=0;for(z=0;z<I;z++){P=u*z;for(E=0;E<q;E++){s=y[E*3]|0;J=y[E*3+1]|0;n=y[E*3+2];for(F=0;F<x;F++){K[J+F]+=O[P+s+F]*n;}}if((t+1)*G<=z+1||z==I-1){L=Math.max(z+1-(t+1)*G,0);D=1-L;M=N*t;if(Math.abs(L)<0.001){for(v=0;v<N*x;v++){m[M+v]=j[v]+K[v];j[v]=K[v]=0;}}else{for(v=0;v<N*x;v++){m[M+v]=j[v]+K[v]*D;j[v]=K[v]*L;K[v]=0;}}t++;}else{for(v=0;v<N*x;v++){j[v]+=K[v];K[v]=0;}}}jsfeat.cache.put_buffer(g);jsfeat.cache.put_buffer(l);jsfeat.cache.put_buffer(R);};var e=function(D,F,m,s,B,t,g,n){var z=0,y=0,x=0,A=0,u=0,l=0,G=0,E=0,C=0,v=t[0],r=0;var q=s<<1,p=s*3,o=s<<2;for(;z<B;++z){l=F[A];for(y=0;y<n;++y){D[y]=l;}for(y=0;y<=s-2;y+=2){D[y+n]=F[A+y];D[y+n+1]=F[A+y+1];}for(;y<s;++y){D[y+n]=F[A+y];}l=F[A+s-1];for(y=s;y<n+s;++y){D[y+n]=l;}for(y=0;y<=s-4;y+=4){l=D[y]*v,G=D[y+1]*v,E=D[y+2]*v,C=D[y+3]*v;for(x=1;x<g;++x){r=t[x];l+=D[x+y]*r;G+=D[x+y+1]*r;E+=D[x+y+2]*r;C+=D[x+y+3]*r;}m[u+y]=Math.min(l>>8,255);m[u+y+1]=Math.min(G>>8,255);m[u+y+2]=Math.min(E>>8,255);m[u+y+3]=Math.min(C>>8,255);}for(;y<s;++y){l=D[y]*v;for(x=1;x<g;++x){l+=D[x+y]*t[x];}m[u+y]=Math.min(l>>8,255);}A+=s;u+=s;}for(z=0;z<s;++z){l=m[z];for(y=0;y<n;++y){D[y]=l;}x=z;for(y=0;y<=B-2;y+=2,x+=q){D[y+n]=m[x];D[y+n+1]=m[x+s];}for(;y<B;++y,x+=s){D[y+n]=m[x];}l=m[(B-1)*s+z];for(y=B;y<n+B;++y){D[y+n]=l;}u=z;for(y=0;y<=B-4;y+=4,u+=o){l=D[y]*v,G=D[y+1]*v,E=D[y+2]*v,C=D[y+3]*v;for(x=1;x<g;++x){r=t[x];l+=D[x+y]*r;G+=D[x+y+1]*r;E+=D[x+y+2]*r;C+=D[x+y+3]*r;}m[u]=Math.min(l>>8,255);m[u+s]=Math.min(G>>8,255);m[u+q]=Math.min(E>>8,255);m[u+p]=Math.min(C>>8,255);}for(;y<B;++y,u+=s){l=D[y]*v;for(x=1;x<g;++x){l+=D[x+y]*t[x];}m[u]=Math.min(l>>8,255);}}};var d=function(D,F,m,s,B,t,g,n){var z=0,y=0,x=0,A=0,u=0,l=0,G=0,E=0,C=0,v=t[0],r=0;var q=s<<1,p=s*3,o=s<<2;for(;z<B;++z){l=F[A];for(y=0;y<n;++y){D[y]=l;}for(y=0;y<=s-2;y+=2){D[y+n]=F[A+y];D[y+n+1]=F[A+y+1];}for(;y<s;++y){D[y+n]=F[A+y];}l=F[A+s-1];for(y=s;y<n+s;++y){D[y+n]=l;}for(y=0;y<=s-4;y+=4){l=D[y]*v,G=D[y+1]*v,E=D[y+2]*v,C=D[y+3]*v;for(x=1;x<g;++x){r=t[x];l+=D[x+y]*r;G+=D[x+y+1]*r;E+=D[x+y+2]*r;C+=D[x+y+3]*r;}m[u+y]=l;m[u+y+1]=G;m[u+y+2]=E;m[u+y+3]=C;}for(;y<s;++y){l=D[y]*v;for(x=1;x<g;++x){l+=D[x+y]*t[x];}m[u+y]=l;}A+=s;u+=s;}for(z=0;z<s;++z){l=m[z];for(y=0;y<n;++y){D[y]=l;}x=z;for(y=0;y<=B-2;y+=2,x+=q){D[y+n]=m[x];D[y+n+1]=m[x+s];}for(;y<B;++y,x+=s){D[y+n]=m[x];}l=m[(B-1)*s+z];for(y=B;y<n+B;++y){D[y+n]=l;}u=z;for(y=0;y<=B-4;y+=4,u+=o){l=D[y]*v,G=D[y+1]*v,E=D[y+2]*v,C=D[y+3]*v;for(x=1;x<g;++x){r=t[x];l+=D[x+y]*r;G+=D[x+y+1]*r;E+=D[x+y+2]*r;C+=D[x+y+3]*r;}m[u]=l;m[u+s]=G;m[u+q]=E;m[u+p]=C;}for(;y<B;++y,u+=s){l=D[y]*v;for(x=1;x<g;++x){l+=D[x+y]*t[x];}m[u]=l;}}};return{grayscale:function(n,r,A,D,g){if(typeof g==="undefined"){g=jsfeat.COLOR_RGBA2GRAY;}var q=0,p=0,z=0,v=0,m=0,u=0;var s=4899,B=9617,C=1868,o=4;if(g==jsfeat.COLOR_BGRA2GRAY||g==jsfeat.COLOR_BGR2GRAY){s=1868;C=4899;}if(g==jsfeat.COLOR_RGB2GRAY||g==jsfeat.COLOR_BGR2GRAY){o=3;}var l=o<<1,k=(o*3)|0;D.resize(r,A,1);var t=D.data;for(p=0;p<A;++p,v+=r,z+=r*o){for(q=0,m=z,u=v;q<=r-4;q+=4,m+=o<<2,u+=4){t[u]=(n[m]*s+n[m+1]*B+n[m+2]*C+8192)>>14;t[u+1]=(n[m+o]*s+n[m+o+1]*B+n[m+o+2]*C+8192)>>14;t[u+2]=(n[m+l]*s+n[m+l+1]*B+n[m+l+2]*C+8192)>>14;t[u+3]=(n[m+k]*s+n[m+k+1]*B+n[m+k+2]*C+8192)>>14;}for(;q<r;++q,++u,m+=o){t[u]=(n[m]*s+n[m+1]*B+n[m+2]*C+8192)>>14;}}},resample:function(l,m,i,k){var j=l.rows,g=l.cols;if(j>k&&g>i){m.resize(i,k,l.channel);if(l.type&jsfeat.U8_t&&m.type&jsfeat.U8_t&&j*g/(k*i)<256){c(l,m,i,k);}else{f(l,m,i,k);}}},box_blur_gray:function(r,J,n,l){if(typeof l==="undefined"){l=0;}var z=r.cols,E=r.rows,s=E<<1,v=z<<1;var D=0,u=0,t=0,m=0;var B=((n<<1)+1)|0;var p=(n+1)|0,H=(p+1)|0;var I=l&jsfeat.BOX_BLUR_NOSCALE?1:(1/(B*B));var C=jsfeat.cache.get_buffer((z*E)<<2);var j=0,G=0,o=0,q=0,k=0;var F=C.i32;var g=r.data;var A=0;J.resize(z,E,r.channel);for(t=0;t<E;++t){G=t;j=p*g[o];for(D=(o+1)|0,m=(o+n)|0;D<=m;++D){j+=g[D];}q=(o+p)|0;k=o;A=g[k];for(u=0;u<n;++u,G+=E){F[G]=j;j+=g[q]-A;q++;}for(;u<z-H;u+=2,G+=s){F[G]=j;j+=g[q]-g[k];F[G+E]=j;j+=g[q+1]-g[k+1];q+=2;k+=2;}for(;u<z-p;++u,G+=E){F[G]=j;j+=g[q]-g[k];q++;k++;}A=g[q-1];for(;u<z;++u,G+=E){F[G]=j;j+=A-g[k];k++;}o+=z;}o=0;g=J.data;if(I==1){for(t=0;t<z;++t){G=t;j=p*F[o];for(D=(o+1)|0,m=(o+n)|0;D<=m;++D){j+=F[D];}q=o+p;k=o;A=F[k];for(u=0;u<n;++u,G+=z){g[G]=j;j+=F[q]-A;q++;}for(;u<E-H;u+=2,G+=v){g[G]=j;j+=F[q]-F[k];g[G+z]=j;j+=F[q+1]-F[k+1];q+=2;k+=2;}for(;u<E-p;++u,G+=z){g[G]=j;j+=F[q]-F[k];q++;k++;}A=F[q-1];for(;u<E;++u,G+=z){g[G]=j;j+=A-F[k];k++;}o+=E;}}else{for(t=0;t<z;++t){G=t;j=p*F[o];for(D=(o+1)|0,m=(o+n)|0;D<=m;++D){j+=F[D];}q=o+p;k=o;A=F[k];for(u=0;u<n;++u,G+=z){g[G]=j*I;j+=F[q]-A;q++;}for(;u<E-H;u+=2,G+=v){g[G]=j*I;j+=F[q]-F[k];g[G+z]=j*I;j+=F[q+1]-F[k+1];q+=2;k+=2;}for(;u<E-p;++u,G+=z){g[G]=j*I;j+=F[q]-F[k];q++;k++;}A=F[q-1];for(;u<E;++u,G+=z){g[G]=j*I;j+=A-F[k];k++;}o+=E;}}jsfeat.cache.put_buffer(C);},gaussian_blur:function(g,s,r,v){if(typeof v==="undefined"){v=0;}if(typeof r==="undefined"){r=0;}r=r==0?(Math.max(1,(4*v+1-1e-8))*2+1)|0:r;var x=r>>1;var t=g.cols,p=g.rows;var u=g.type,n=u&jsfeat.U8_t;s.resize(t,p,g.channel);var m=g.data,j=s.data;var k,i,q=(r+Math.max(p,t))|0;var l=jsfeat.cache.get_buffer(q<<2);var o=jsfeat.cache.get_buffer(r<<2);if(n){k=l.i32;i=o.i32;}else{if(u&jsfeat.S32_t){k=l.i32;i=o.f32;}else{k=l.f32;i=o.f32;}}jsfeat.math.get_gaussian_kernel(r,v,i,u);if(n){e(k,m,j,t,p,i,r,x);}else{d(k,m,j,t,p,i,r,x);}jsfeat.cache.put_buffer(l);jsfeat.cache.put_buffer(o);},pyrdown:function(k,A,s,r){if(typeof s==="undefined"){s=0;}if(typeof r==="undefined"){r=0;}var q=k.cols,t=k.rows;var p=q>>1,l=t>>1;var B=p-(s<<1),u=l-(r<<1);var o=0,n=0,g=s+r*q,m=0,v=0,i=0;A.resize(p,l,k.channel);var z=k.data,j=A.data;for(n=0;n<u;++n){m=g;i=v;for(o=0;o<=B-2;o+=2,i+=2,m+=4){j[i]=(z[m]+z[m+1]+z[m+q]+z[m+q+1]+2)>>2;j[i+1]=(z[m+2]+z[m+3]+z[m+q+2]+z[m+q+3]+2)>>2;}for(;o<B;++o,++i,m+=2){j[i]=(z[m]+z[m+1]+z[m+q]+z[m+q+1]+2)>>2;}g+=q<<1;v+=p;}},scharr_derivatives:function(j,G){var p=j.cols,s=j.rows;var H=p<<1,o=0,m=0,u=0,E,D,C,B,A,z;var v=0,t=0,r=0,i=0;var n,l;G.resize(p,s,2);var F=j.data,g=G.data;var k=jsfeat.cache.get_buffer((p+2)<<2);var q=jsfeat.cache.get_buffer((p+2)<<2);if(j.type&jsfeat.U8_t||j.type&jsfeat.S32_t){n=k.i32;l=q.i32;}else{n=k.f32;l=q.f32;}for(;m<s;++m,t+=p){v=((m>0?m-1:1)*p)|0;r=((m<s-1?m+1:s-2)*p)|0;i=(m*H)|0;for(o=0,u=1;o<=p-2;o+=2,u+=2){E=F[v+o],D=F[r+o];n[u]=((E+D)*3+(F[t+o])*10);l[u]=(D-E);E=F[v+o+1],D=F[r+o+1];n[u+1]=((E+D)*3+(F[t+o+1])*10);l[u+1]=(D-E);}for(;o<p;++o,++u){E=F[v+o],D=F[r+o];n[u]=((E+D)*3+(F[t+o])*10);l[u]=(D-E);}o=(p+1)|0;n[0]=n[1];n[o]=n[p];l[0]=l[1];l[o]=l[p];for(o=0;o<=p-4;o+=4){E=l[o+2],D=l[o+1],C=l[o+3],B=l[o+4],A=n[o+2],z=n[o+3];g[i++]=(A-n[o]);g[i++]=((E+l[o])*3+D*10);g[i++]=(z-n[o+1]);g[i++]=((C+D)*3+E*10);g[i++]=((n[o+4]-A));g[i++]=(((B+E)*3+C*10));g[i++]=((n[o+5]-z));g[i++]=(((l[o+5]+C)*3+B*10));}for(;o<p;++o){g[i++]=((n[o+2]-n[o]));g[i++]=(((l[o+2]+l[o])*3+l[o+1]*10));}}jsfeat.cache.put_buffer(k);jsfeat.cache.put_buffer(q);},sobel_derivatives:function(j,G){var p=j.cols,s=j.rows;var H=p<<1,o=0,m=0,u=0,E,D,C,B,A,z;var v=0,t=0,r=0,i=0;var n,l;G.resize(p,s,2);var F=j.data,g=G.data;var k=jsfeat.cache.get_buffer((p+2)<<2);var q=jsfeat.cache.get_buffer((p+2)<<2);if(j.type&jsfeat.U8_t||j.type&jsfeat.S32_t){n=k.i32;l=q.i32;}else{n=k.f32;l=q.f32;}for(;m<s;++m,t+=p){v=((m>0?m-1:1)*p)|0;r=((m<s-1?m+1:s-2)*p)|0;i=(m*H)|0;for(o=0,u=1;o<=p-2;o+=2,u+=2){E=F[v+o],D=F[r+o];n[u]=((E+D)+(F[t+o]*2));l[u]=(D-E);E=F[v+o+1],D=F[r+o+1];n[u+1]=((E+D)+(F[t+o+1]*2));l[u+1]=(D-E);}for(;o<p;++o,++u){E=F[v+o],D=F[r+o];n[u]=((E+D)+(F[t+o]*2));l[u]=(D-E);}o=(p+1)|0;n[0]=n[1];n[o]=n[p];l[0]=l[1];l[o]=l[p];for(o=0;o<=p-4;o+=4){E=l[o+2],D=l[o+1],C=l[o+3],B=l[o+4],A=n[o+2],z=n[o+3];g[i++]=(A-n[o]);g[i++]=(E+l[o]+D*2);g[i++]=(z-n[o+1]);g[i++]=(C+D+E*2);g[i++]=(n[o+4]-A);g[i++]=(B+E+C*2);g[i++]=(n[o+5]-z);g[i++]=(l[o+5]+C+B*2);}for(;o<p;++o){g[i++]=(n[o+2]-n[o]);g[i++]=(l[o+2]+l[o]+l[o+1]*2);}}jsfeat.cache.put_buffer(k);jsfeat.cache.put_buffer(q);},compute_integral_image:function(g,l,y,u){var t=g.cols|0,w=g.rows|0,o=g.data;var r=(t+1)|0;var B=0,z=0,h=0,x=0,q=0,n=0,A=0,m=0;if(l&&y){for(;q<r;++q){l[q]=0,y[q]=0;}h=(r+1)|0,x=1;for(q=0,m=0;q<w;++q,++h,++x){B=z=0;for(n=0;n<=t-2;n+=2,m+=2,h+=2,x+=2){A=o[m];B+=A,z+=A*A;l[h]=l[x]+B;y[h]=y[x]+z;A=o[m+1];B+=A,z+=A*A;l[h+1]=l[x+1]+B;y[h+1]=y[x+1]+z;}for(;n<t;++n,++m,++h,++x){A=o[m];B+=A,z+=A*A;l[h]=l[x]+B;y[h]=y[x]+z;}}}else{if(l){for(;q<r;++q){l[q]=0;}h=(r+1)|0,x=1;for(q=0,m=0;q<w;++q,++h,++x){B=0;for(n=0;n<=t-2;n+=2,m+=2,h+=2,x+=2){B+=o[m];l[h]=l[x]+B;B+=o[m+1];l[h+1]=l[x+1]+B;}for(;n<t;++n,++m,++h,++x){B+=o[m];l[h]=l[x]+B;}}}else{if(y){for(;q<r;++q){y[q]=0;}h=(r+1)|0,x=1;for(q=0,m=0;q<w;++q,++h,++x){z=0;for(n=0;n<=t-2;n+=2,m+=2,h+=2,x+=2){A=o[m];z+=A*A;y[h]=y[x]+z;A=o[m+1];z+=A*A;y[h+1]=y[x+1]+z;}for(;n<t;++n,++m,++h,++x){A=o[m];z+=A*A;y[h]=y[x]+z;}}}}}if(u){for(q=0;q<r;++q){u[q]=0;}h=(r+1)|0,x=0;for(q=0,m=0;q<w;++q,++h,++x){for(n=0;n<=t-2;n+=2,m+=2,h+=2,x+=2){u[h]=o[m]+u[x];u[h+1]=o[m+1]+u[x+1];}for(;n<t;++n,++m,++h,++x){u[h]=o[m]+u[x];}}h=(r+t)|0,x=t;for(q=0;q<w;++q,h+=r,x+=r){u[h]+=u[x];}for(n=t-1;n>0;--n){h=n+w*r,x=h-r;for(q=w;q>0;--q,h-=r,x-=r){u[h]+=u[x]+u[x+1];}}}},equalize_histogram:function(j,r){var s=j.cols,q=j.rows,o=j.data;r.resize(s,q,j.channel);var l=r.data,t=s*q;var p=0,n=0,k,g;var m=jsfeat.cache.get_buffer(256<<2);k=m.i32;for(;p<256;++p){k[p]=0;}for(p=0;p<t;++p){++k[o[p]];}n=k[0];for(p=1;p<256;++p){n=k[p]+=n;}g=255/t;for(p=0;p<t;++p){l[p]=(k[o[p]]*g+0.5)|0;}jsfeat.cache.put_buffer(m);},canny:function(u,V,E,k){var C=u.cols,L=u.rows,S=u.data;V.resize(C,L,u.channel);var o=V.data;var K=0,H=0,q=0,A=C<<1,R=0,J=0,N=0,z=0,v=0,D=0;var g=0,U=0;var p=jsfeat.cache.get_buffer((L*A)<<2);var m=jsfeat.cache.get_buffer((3*(C+2))<<2);var n=jsfeat.cache.get_buffer(((L+2)*(C+2))<<2);var t=jsfeat.cache.get_buffer((L*C)<<2);var Q=m.i32;var T=n.i32;var r=t.i32;var G=p.i32;var l=new jsfeat.matrix_t(C,L,jsfeat.S32C2_t,p.data);var P=1,O=(C+2+1)|0,M=(2*(C+2)+1)|0,B=(C+2)|0,I=(B+1)|0,F=0;this.sobel_derivatives(u,l);if(E>k){K=E;E=k;k=K;}K=(3*(C+2))|0;while(--K>=0){Q[K]=0;}K=((L+2)*(C+2))|0;while(--K>=0){T[K]=0;}for(;H<C;++H,q+=2){z=G[q],v=G[q+1];Q[O+H]=((z^(z>>31))-(z>>31))+((v^(v>>31))-(v>>31));}for(K=1;K<=L;++K,q+=A){if(K==L){H=M+C;while(--H>=M){Q[H]=0;}}else{for(H=0;H<C;H++){z=G[q+(H<<1)],v=G[q+(H<<1)+1];Q[M+H]=((z^(z>>31))-(z>>31))+((v^(v>>31))-(v>>31));}}R=(q-A)|0;T[I-1]=0;J=0;for(H=0;H<C;++H,R+=2){N=Q[O+H];if(N>E){z=G[R];v=G[R+1];D=z^v;z=((z^(z>>31))-(z>>31))|0;v=((v^(v>>31))-(v>>31))|0;g=z*13573;U=g+((z+z)<<15);v<<=15;if(v<g){if(N>Q[O+H-1]&&N>=Q[O+H+1]){if(N>k&&!J&&T[I+H-B]!=2){T[I+H]=2;J=1;r[F++]=I+H;}else{T[I+H]=1;}continue}}else{if(v>U){if(N>Q[P+H]&&N>=Q[M+H]){if(N>k&&!J&&T[I+H-B]!=2){T[I+H]=2;J=1;r[F++]=I+H;}else{T[I+H]=1;}continue}}else{D=D<0?-1:1;if(N>Q[P+H-D]&&N>Q[M+H+D]){if(N>k&&!J&&T[I+H-B]!=2){T[I+H]=2;J=1;r[F++]=I+H;}else{T[I+H]=1;}continue}}}}T[I+H]=0;J=0;}T[I+C]=0;I+=B;H=P;P=O;O=M;M=H;}H=I-B-1;for(K=0;K<B;++K,++H){T[H]=0;}while(F>0){I=r[--F];I-=B+1;if(T[I]==1){T[I]=2,r[F++]=I;}I+=1;if(T[I]==1){T[I]=2,r[F++]=I;}I+=1;if(T[I]==1){T[I]=2,r[F++]=I;}I+=B;if(T[I]==1){T[I]=2,r[F++]=I;}I-=2;if(T[I]==1){T[I]=2,r[F++]=I;}I+=B;if(T[I]==1){T[I]=2,r[F++]=I;}I+=1;if(T[I]==1){T[I]=2,r[F++]=I;}I+=1;if(T[I]==1){T[I]=2,r[F++]=I;}}I=B+1;P=0;for(K=0;K<L;++K,I+=B){for(H=0;H<C;++H){o[P++]=(T[I+H]==2)*255;}}jsfeat.cache.put_buffer(p);jsfeat.cache.put_buffer(m);jsfeat.cache.put_buffer(n);jsfeat.cache.put_buffer(t);},warp_perspective:function(t,D,A,r){if(typeof r==="undefined"){r=0;}var l=t.cols|0,v=t.rows|0,L=D.cols|0,j=D.rows|0;var H=t.data,q=D.data;var F=0,E=0,G=0,u=0,k=0,C=0,p=0,h=0,O=0,P=0,s=0,R=0,Q=0,N=0,M=0;var i=A.data;var o=i[0],n=i[1],m=i[2],K=i[3],J=i[4],I=i[5],B=i[6],z=i[7],w=i[8];for(var g=0;E<j;++E){h=n*E+m,O=J*E+I,P=z*E+w;for(F=0;F<L;++F,++g,h+=o,O+=K,P+=B){s=1/P;C=h*s,p=O*s;u=C|0,k=p|0;if(C>0&&p>0&&u<(l-1)&&k<(v-1)){R=Math.max(C-u,0);Q=Math.max(p-k,0);G=(l*k+u)|0;N=H[G]+R*(H[G+1]-H[G]);M=H[G+l]+R*(H[G+l+1]-H[G+l]);q[g]=N+Q*(M-N);}else{q[g]=r;}}}},warp_affine:function(k,K,p,J){if(typeof J==="undefined"){J=0;}var u=k.cols,z=k.rows,j=K.cols,v=K.rows;var E=k.data,i=K.data;var o=0,n=0,I=0,q=0,A=0,m=0,w=0,G=0,D=0,h=0,g=0;var l=p.data;var t=l[0],s=l[1],r=l[2],H=l[3],F=l[4],C=l[5];for(var B=0;n<v;++n){m=s*n+r;w=F*n+C;for(o=0;o<j;++o,++B,m+=t,w+=H){q=m|0;A=w|0;if(q>=0&&A>=0&&q<(u-1)&&A<(z-1)){G=m-q;D=w-A;I=u*A+q;h=E[I]+G*(E[I+1]-E[I]);g=E[I+u]+G*(E[I+u+1]-E[I+u]);i[B]=h+D*(g-h);}else{i[B]=J;}}}},skindetector:function(o,p){var n,m,h,k;var l=o.width*o.height;while(l--){k=l*4;n=o.data[k];m=o.data[k+1];h=o.data[k+2];if((n>95)&&(m>40)&&(h>20)&&(n>m)&&(n>h)&&(n-Math.min(m,h)>15)&&(Math.abs(n-m)>15)){p[l]=255;}else{p[l]=0;}}}}})();b.imgproc=a;})(jsfeat);(function(a){var b=(function(){var h=new Int32Array([0,3,1,3,2,2,3,1,3,0,3,-1,2,-2,1,-3,0,-3,-1,-3,-2,-2,-3,-1,-3,0,-3,1,-2,2,-1,3]);var f=new Uint8Array(512);var e=new Int32Array(25);var i=new Int32Array(25);var d=function(l,n,o){var j=0;var m=h;for(;j<o;++j){l[j]=m[j<<1]+m[(j<<1)+1]*n;}for(;j<25;++j){l[j]=l[j-o];}},g=function(j,n,l,r,p){var q=25,o=0,w=j[n];var 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Z=Math.min((ar-2),(ar-D));var z=Math.max(3,D);var aa=Math.min((X-3),(X-D));var ah=0,P=0,C;var Q=g;var G=f;var p=c;var Y=0,ao=0,au=0,aw=0,U=0,V=0,av=0,R=0,at=0;var T=0,S=0,o=0;d(M,X,16);var am=M[0];var ak=M[1];var aj=M[2];var ai=M[3];var ag=M[4];var af=M[5];var ae=M[6];var ad=M[7];var ac=M[8];var ab=M[9];var s=M[10];var r=M[11];var q=M[12];var n=M[13];var m=M[14];var 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C=Math.min(B-3,B-z)|0;o=p*B;while(--o>=0){j[o]=0;}d(q,j,p,B,H,f,t,s,E,C);k=(s*p+t)|0;for(n=s;n<C;++n,k+=p){for(o=t,m=k;o<E;++o,++m){i=j[m];if((i<-F&&i<j[m-1]&&i<j[m+1]&&i<j[m-p]&&i<j[m+p]&&i<j[m-p-1]&&i<j[m+p-1]&&i<j[m-p+1]&&i<j[m+p+1])||(i>F&&i>j[m-1]&&i>j[m+1]&&i>j[m-p]&&i>j[m+p]&&i>j[m-p-1]&&i>j[m+p-1]&&i>j[m-p+1]&&i>j[m+p+1])){r=c(q,m,i,H,f,G,g);if(r>D){v=A[u];v.x=o,v.y=n,v.score=r;++u;++o,++m;}}}}jsfeat.cache.put_buffer(e);return u}}})();b.yape06=a;})(jsfeat);(function(a){var b=(function(){var d=function(l,m,k){var j=0;var h,n;h=k;for(n=0;n<h;n++,j++){h=(Math.sqrt((k*k-n*n))+0.5)|0;m[j]=(h+l*n);}for(h--;h<n&&h>=0;h--,j++){n=(Math.sqrt((k*k-h*h))+0.5)|0;m[j]=(h+l*n);}for(;-h<n;h--,j++){n=(Math.sqrt((k*k-h*h))+0.5)|0;m[j]=(h+l*n);}for(n--;n>=0;n--,j++){h=(-Math.sqrt((k*k-n*n))-0.5)|0;m[j]=(h+l*n);}for(;n>h;n--,j++){h=(-Math.sqrt((k*k-n*n))-0.5)|0;m[j]=(h+l*n);}for(h++;h<=0;h++,j++){n=(-Math.sqrt((k*k-h*h))-0.5)|0;m[j]=(h+l*n);}for(;h<-n;h++,j++){n=(-Math.sqrt((k*k-h*h))-0.5)|0;m[j]=(h+l*n);}for(n++;n<0;n++,j++){h=(Math.sqrt((k*k-n*n))+0.5)|0;m[j]=(h+l*n);}m[j]=m[0];m[j+1]=m[1];return j};var g=function(h,j,i){var k=0;if(h[j+1]!=0){k++;}if(h[j-1]!=0){k++;}if(h[j+i]!=0){k++;}if(h[j+i+1]!=0){k++;}if(h[j+i-1]!=0){k++;}if(h[j-i]!=0){k++;}if(h[j-i+1]!=0){k++;}if(h[j-i-1]!=0){k++;}return k};var c=function(l,m,i,k,j){var h,n;if(i>0){m-=k*j;for(n=-j;n<=j;++n){for(h=-j;h<=j;++h){if(l[m+h]>i){return false}}m+=k;}}else{m-=k*j;for(n=-j;n<=j;++n){for(h=-j;h<=j;++h){if(l[m+h]<i){return false}}m+=k;}}return true};var 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c=new jsfeat.matrix_t(3,3,jsfeat.F32_t|jsfeat.C1_t);var f=new jsfeat.matrix_t(32,32,jsfeat.U8_t|jsfeat.C1_t);var e=function(l,n,k,i,h,j){var m=Math.cos(k);var g=Math.sin(k);c.data[0]=m,c.data[1]=-g,c.data[2]=(-m+g)*j*0.5+i,c.data[3]=g,c.data[4]=m,c.data[5]=(-g-m)*j*0.5+h;jsfeat.imgproc.warp_affine(l,n,c,128);};return{describe:function(j,u,g,B){var r=32;var x=0,A=0,q=0,p=0,z=0;var o=0,m=0,D=0;var C=j.data,n=j.cols,y=j.rows;var t=f.data;var v=16*32+16;var k=0;if(!(B.type&jsfeat.U8_t)){B.type=jsfeat.U8_t;B.cols=r;B.rows=g;B.channel=1;B.allocate();}else{B.resize(r,g,1);}var l=B.data;var s=0;for(x=0;x<g;++x){q=u[x].x;p=u[x].y;z=u[x].angle;e(j,f,z,q,p,32);k=0;for(A=0;A<r;++A){o=t[v+d[k+1]*32+d[k]];k+=2;m=t[v+d[k+1]*32+d[k]];k+=2;D=(o<m)|0;o=t[v+d[k+1]*32+d[k]];k+=2;m=t[v+d[k+1]*32+d[k]];k+=2;D|=(o<m)<<1;o=t[v+d[k+1]*32+d[k]];k+=2;m=t[v+d[k+1]*32+d[k]];k+=2;D|=(o<m)<<2;o=t[v+d[k+1]*32+d[k]];k+=2;m=t[v+d[k+1]*32+d[k]];k+=2;D|=(o<m)<<3;o=t[v+d[k+1]*32+d[k]];k+=2;m=t[v+d[k+1]*32+d[k]];k+=2;D|=(o<m)<<4;o=t[v+d[k+1]*32+d[k]];k+=2;m=t[v+d[k+1]*32+d[k]];k+=2;D|=(o<m)<<5;o=t[v+d[k+1]*32+d[k]];k+=2;m=t[v+d[k+1]*32+d[k]];k+=2;D|=(o<m)<<6;o=t[v+d[k+1]*32+d[k]];k+=2;m=t[v+d[k+1]*32+d[k]];k+=2;D|=(o<m)<<7;l[s+A]=D;}s+=r;}}}})();b.orb=a;})(jsfeat);(function(b){var a=(function(){var c=jsfeat.imgproc.scharr_derivatives;return{track:function(n,u,ap,aL,k,N,R,K,f,q){if(typeof R==="undefined"){R=30;}if(typeof K==="undefined"){K=new Uint8Array(k);}if(typeof f==="undefined"){f=0.01;}if(typeof q==="undefined"){q=0.0001;}var e=(N-1)*0.5;var h=(N*N)|0;var aa=h<<1;var r=n.data,S=u.data;var g=r[0].data,F=S[0].data;var M=r[0].cols,aB=r[0].rows,ay=0,aH=0;var az=jsfeat.cache.get_buffer(h<<2);var s=jsfeat.cache.get_buffer(aa<<2);var t=jsfeat.cache.get_buffer((aB*(M<<1))<<2);var V=new jsfeat.matrix_t(M,aB,jsfeat.S32C2_t,t.data);var w=az.i32;var ac=s.i32;var aA=t.i32;var ab=0,I=0,aM=0,at=0,aI=0,au=0;var am=0,aF=0,aD=0,af=0,ae=0;var E=0,z=0,Y=0,W=0;var p=0,o=0,aE=0,aC=0;var Q=0,P=0,J=0,H=0,ai=0,ak=0,l=0;var d=0,A=0,O=0;var U=0,T=0,aw=0,av=0;var ah=14;var C=14;var Z=C-5;var ax=(1<<((Z)-1));var ad=(1<<ah);var m=(1<<((C)-1));var X=1/(1<<20);var aK=0,aJ=0,ar=0,aq=0,al=0,v=0,B=0;var ao=0,an=0,ag=0,aj=0,aG=0;var G=1.1920929e-7;f*=f;for(;Q<k;++Q){K[Q]=1;}var L=(n.levels-1)|0;ai=L;for(;ai>=0;--ai){am=(1/(1<<ai));ay=M>>ai;aH=aB>>ai;ab=ay<<1;g=r[ai].data;F=S[ai].data;A=(ay-N)|0;O=(aH-N)|0;c(r[ai],V);for(ak=0;ak<k;++ak){Q=ak<<1;P=Q+1;aF=ap[Q]*am;aD=ap[P]*am;if(ai==L){af=aF;ae=aD;}else{af=aL[Q]*2;ae=aL[P]*2;}aL[Q]=af;aL[P]=ae;aF-=e;aD-=e;p=aF|0;o=aD|0;J=(p<=d)|(p>=A)|(o<=d)|(o>=O);if(J!=0){if(ai==0){K[ak]=0;}continue}U=aF-p;T=aD-o;aK=(((1-U)*(1-T)*ad)+0.5)|0;aJ=((U*(1-T)*ad)+0.5)|0;ar=(((1-U)*T*ad)+0.5)|0;aq=(ad-aK-aJ-ar);ao=0,an=0,ag=0;for(H=0;H<N;++H){I=((H+o)*ay+p)|0;aM=I<<1;at=(H*N)|0;aI=at<<1;for(J=0;J<N;++J,++I,++at,aM+=2){al=((g[I])*aK+(g[I+1])*aJ+(g[I+ay])*ar+(g[I+ay+1])*aq);al=(((al)+ax)>>(Z));v=(aA[aM]*aK+aA[aM+2]*aJ+aA[aM+ab]*ar+aA[aM+ab+2]*aq);v=(((v)+m)>>(C));B=(aA[aM+1]*aK+aA[aM+3]*aJ+aA[aM+ab+1]*ar+aA[aM+ab+3]*aq);B=(((B)+m)>>(C));w[at]=al;ac[aI++]=v;ac[aI++]=B;ao+=v*v;an+=v*B;ag+=B*B;}}ao*=X;an*=X;ag*=X;aj=ao*ag-an*an;aG=(ag+ao-Math.sqrt((ao-ag)*(ao-ag)+4*an*an))/aa;if(aG<q||aj<G){if(ai==0){K[ak]=0;}continue}aj=1/aj;af-=e;ae-=e;E=0;z=0;for(l=0;l<R;++l){aE=af|0;aC=ae|0;J=(aE<=d)|(aE>=A)|(aC<=d)|(aC>=O);if(J!=0){if(ai==0){K[ak]=0;}break}U=af-aE;T=ae-aC;aK=(((1-U)*(1-T)*ad)+0.5)|0;aJ=((U*(1-T)*ad)+0.5)|0;ar=(((1-U)*T*ad)+0.5)|0;aq=(ad-aK-aJ-ar);aw=0,av=0;for(H=0;H<N;++H){au=((H+aC)*ay+aE)|0;at=(H*N)|0;aI=at<<1;for(J=0;J<N;++J,++au,++at){al=((F[au])*aK+(F[au+1])*aJ+(F[au+ay])*ar+(F[au+ay+1])*aq);al=(((al)+ax)>>(Z));al=(al-w[at]);aw+=al*ac[aI++];av+=al*ac[aI++];}}aw*=X;av*=X;Y=((an*av-ag*aw)*aj);W=((an*aw-ao*av)*aj);af+=Y;ae+=W;aL[Q]=af+e;aL[P]=ae+e;if(Y*Y+W*W<=f){break}if(l>0&&Math.abs(Y+E)<0.01&&Math.abs(W+z)<0.01){aL[Q]-=Y*0.5;aL[P]-=W*0.5;break}E=Y;z=W;}}}jsfeat.cache.put_buffer(az);jsfeat.cache.put_buffer(s);jsfeat.cache.put_buffer(t);}}})();b.optical_flow_lk=a;})(jsfeat);(function(b){var a=(function(){var c=function(e,d){var f=(e.width*0.25+0.5)|0;return d.x<=e.x+f&&d.x>=e.x-f&&d.y<=e.y+f&&d.y>=e.y-f&&d.width<=(e.width*1.5+0.5)|0&&(d.width*1.5+0.5)|0>=e.width};return{edges_density:0.07,detect_single_scale:function(E,ad,af,q,d,f,D,B){var z=(B.size[0]*D)|0,N=(B.size[1]*D)|0,V=(0.5*D+1.5)|0,U=V;var Z,X,W,Q,O,T=(d-z)|0,R=(f-N)|0;var H=(d+1)|0,w,p,r,S;var e=1/(z*N);var t,o,l,u,s,ae,A,g=true,L,h,n,G,m;var M,K,J,I,v,C;var ac=0,ab=z,aa=N*H,Y=aa+z;var F=((z*N)*255*this.edges_density)|0;var P=[];for(O=0;O<R;O+=U){ac=O*H;for(Q=0;Q<T;Q+=V,ac+=V){p=E[ac]-E[ac+ab]-E[ac+aa]+E[ac+Y];if(q){w=(q[ac]-q[ac+ab]-q[ac+aa]+q[ac+Y]);if(w<F||p<20){Q+=V,ac+=V;continue}}p*=e;r=(ad[ac]-ad[ac+ab]-ad[ac+aa]+ad[ac+Y])*e-p*p;S=r>0?Math.sqrt(r):1;t=B.complexClassifiers;s=t.length;g=true;for(Z=0;Z<s;++Z){o=t[Z];L=o.threshold;l=o.simpleClassifiers;ae=l.length;h=0;for(X=0;X<ae;++X){u=l[X];n=0;m=u.features;A=m.length;if(u.tilted===1){for(W=0;W<A;++W){G=m[W];M=~~(Q+G[0]*D)+~~(O+G[1]*D)*H;v=~~(G[2]*D);C=~~(G[3]*D);K=v*H;J=C*H;n+=(af[M]-af[M+v+K]-af[M-C+J]+af[M+v-C+K+J])*G[4];}}else{for(W=0;W<A;++W){G=m[W];M=~~(Q+G[0]*D)+~~(O+G[1]*D)*H;v=~~(G[2]*D);C=~~(G[3]*D);J=C*H;n+=(E[M]-E[M+v]-E[M+J]+E[M+J+v])*G[4];}}h+=(n*e<u.threshold*S)?u.left_val:u.right_val;}if(h<L){g=false;break}}if(g){P.push({x:Q,y:O,width:z,height:N,neighbor:1,confidence:h});Q+=V,ac+=V;}}}return P},detect_multi_scale:function(e,m,f,h,d,n,i,g,k){if(typeof g==="undefined"){g=1.2;}if(typeof k==="undefined"){k=1;}var o=i.size[0];var j=i.size[1];var l=[];while(k*o<d&&k*j<n){l=l.concat(this.detect_single_scale(e,m,f,h,d,n,k,i));k*=g;}return l},group_rectangles:function(g,l){if(typeof l==="undefined"){l=1;}var y,v,q=g.length;var r=[];for(y=0;y<q;++y){r[y]={parent:-1,element:g[y],rank:0};}for(y=0;y<q;++y){if(!r[y].element){continue}var t=y;while(r[t].parent!=-1){t=r[t].parent;}for(v=0;v<q;++v){if(y!=v&&r[v].element&&c(r[y].element,r[v].element)){var s=v;while(r[s].parent!=-1){s=r[s].parent;}if(s!=t){if(r[t].rank>r[s].rank){r[s].parent=t;}else{r[t].parent=s;if(r[t].rank==r[s].rank){r[s].rank++;}t=s;}var A,d=v;while(r[d].parent!=-1){A=d;d=r[d].parent;r[A].parent=t;}d=y;while(r[d].parent!=-1){A=d;d=r[d].parent;r[A].parent=t;}}}}}var w=[];var o=0;for(y=0;y<q;y++){v=-1;var e=y;if(r[e].element){while(r[e].parent!=-1){e=r[e].parent;}if(r[e].rank>=0){r[e].rank=~o++;}v=~r[e].rank;}w[y]=v;}var m=[];for(y=0;y<o+1;++y){m[y]={neighbors:0,x:0,y:0,width:0,height:0,confidence:0};}for(y=0;y<q;++y){var z=g[y];var k=w[y];if(m[k].neighbors==0){m[k].confidence=z.confidence;}++m[k].neighbors;m[k].x+=z.x;m[k].y+=z.y;m[k].width+=z.width;m[k].height+=z.height;m[k].confidence=Math.max(m[k].confidence,z.confidence);}var h=[];for(y=0;y<o;++y){q=m[y].neighbors;if(q>=l){h.push({x:(m[y].x*2+q)/(2*q),y:(m[y].y*2+q)/(2*q),width:(m[y].width*2+q)/(2*q),height:(m[y].height*2+q)/(2*q),neighbors:m[y].neighbors,confidence:m[y].confidence});}}var p=[];q=h.length;for(y=0;y<q;++y){var z=h[y];var x=true;for(v=0;v<q;++v){var u=h[v];var f=(u.width*0.25+0.5)|0;if(y!=v&&z.x>=u.x-f&&z.y>=u.y-f&&z.x+z.width<=u.x+u.width+f&&z.y+z.height<=u.y+u.height+f&&(u.neighbors>Math.max(3,z.neighbors)||z.neighbors<3)){x=false;break}}if(x){p.push(z);}}return p}}})();b.haar=a;})(jsfeat);(function(a){var b=(function(){var c=function(f,e){var g=(f.width*0.25+0.5)|0;return e.x<=f.x+g&&e.x>=f.x-g&&e.y<=f.y+g&&e.y>=f.y-g&&e.width<=(f.width*1.5+0.5)|0&&(e.width*1.5+0.5)|0>=f.width};var d=new jsfeat.pyramid_t(1);return{interval:4,scale:1.1486,next:5,scale_to:1,prepare_cascade:function(g){var m=g.stage_classifier.length;for(var h=0;h<m;h++){var l=g.stage_classifier[h].feature;var e=g.stage_classifier[h].count;var i=g.stage_classifier[h]._feature=new Array(e);for(var f=0;f<e;f++){i[f]={size:l[f].size,px:new Array(l[f].size),pz:new Array(l[f].size),nx:new Array(l[f].size),nz:new Array(l[f].size)};}}},build_pyramid:function(e,k,s,f){if(typeof f==="undefined"){f=4;}var q=e.cols,m=e.rows;var l=0,n=0,h=0;var p=false;var j=e,g=e;var r=jsfeat.U8_t|jsfeat.C1_t;this.interval=f;this.scale=Math.pow(2,1/(this.interval+1));this.next=(this.interval+1)|0;this.scale_to=(Math.log(Math.min(q/k,m/s))/Math.log(this.scale))|0;var o=((this.scale_to+this.next*2)*4)|0;if(d.levels!=o){d.levels=o;d.data=new Array(o);p=true;d.data[0]=e;}for(l=1;l<=this.interval;++l){n=(q/Math.pow(this.scale,l))|0;h=(m/Math.pow(this.scale,l))|0;j=d.data[l<<2];if(p||n!=j.cols||h!=j.rows){d.data[l<<2]=new jsfeat.matrix_t(n,h,r);j=d.data[l<<2];}jsfeat.imgproc.resample(e,j,n,h);}for(l=this.next;l<this.scale_to+this.next*2;++l){g=d.data[(l<<2)-(this.next<<2)];j=d.data[l<<2];n=g.cols>>1;h=g.rows>>1;if(p||n!=j.cols||h!=j.rows){d.data[l<<2]=new jsfeat.matrix_t(n,h,r);j=d.data[l<<2];}jsfeat.imgproc.pyrdown(g,j);}for(l=this.next*2;l<this.scale_to+this.next*2;++l){g=d.data[(l<<2)-(this.next<<2)];n=g.cols>>1;h=g.rows>>1;j=d.data[(l<<2)+1];if(p||n!=j.cols||h!=j.rows){d.data[(l<<2)+1]=new jsfeat.matrix_t(n,h,r);j=d.data[(l<<2)+1];}jsfeat.imgproc.pyrdown(g,j,1,0);j=d.data[(l<<2)+2];if(p||n!=j.cols||h!=j.rows){d.data[(l<<2)+2]=new jsfeat.matrix_t(n,h,r);j=d.data[(l<<2)+2];}jsfeat.imgproc.pyrdown(g,j,0,1);j=d.data[(l<<2)+3];if(p||n!=j.cols||h!=j.rows){d.data[(l<<2)+3]=new jsfeat.matrix_t(n,h,r);j=d.data[(l<<2)+3];}jsfeat.imgproc.pyrdown(g,j,1,1);}return d},detect:function(G,L){var h=this.interval;var N=this.scale;var m=this.next;var l=this.scale_to;var ab=0,aa=0,Z=0,W=0,S=0,R=0,U=0,B=0,J=0,I=0,V=0,ae=0,M=0,ad=0,w=0,Y=0,g=0;var E=0,X,Q,D,H,F,O=true,o=true;var z=1,v=1;var s=[0,1,0,1];var r=[0,0,1,1];var K=[];var C=G.data,ac=1,u=2,t=4;var A=[],e=[0,0,0];var P=[0,0,0];var T=[0,0,0];for(ab=0;ab<l;ab++){w=(ab<<2);Y=C[w+(m<<3)].cols-(L.width>>2);g=C[w+(m<<3)].rows-(L.height>>2);P[0]=C[w].cols*ac;P[1]=C[w+(m<<2)].cols*ac;P[2]=C[w+(m<<3)].cols*ac;T[0]=(C[w].cols*t)-(Y*t);T[1]=(C[w+(m<<2)].cols*u)-(Y*u);T[2]=(C[w+(m<<3)].cols*ac)-(Y*ac);B=L.stage_classifier.length;for(aa=0;aa<B;aa++){D=L.stage_classifier[aa].feature;Q=L.stage_classifier[aa]._feature;J=L.stage_classifier[aa].count;for(Z=0;Z<J;Z++){H=Q[Z];F=D[Z];I=F.size|0;for(U=0;U<I;U++){H.px[U]=(F.px[U]*ac)+F.py[U]*P[F.pz[U]];H.pz[U]=F.pz[U];H.nx[U]=(F.nx[U]*ac)+F.ny[U]*P[F.nz[U]];H.nz[U]=F.nz[U];}}}A[0]=C[w].data;A[1]=C[w+(m<<2)].data;for(U=0;U<4;U++){A[2]=C[w+(m<<3)+U].data;e[0]=(s[U]*u)+r[U]*(C[w].cols*u);e[1]=(s[U]*ac)+r[U]*(C[w+(m<<2)].cols*ac);e[2]=0;for(R=0;R<g;R++){for(S=0;S<Y;S++){E=0;O=true;B=L.stage_classifier.length;for(aa=0;aa<B;aa++){E=0;X=L.stage_classifier[aa].alpha;Q=L.stage_classifier[aa]._feature;J=L.stage_classifier[aa].count;for(Z=0;Z<J;Z++){H=Q[Z];ae=A[H.pz[0]][e[H.pz[0]]+H.px[0]];M=A[H.nz[0]][e[H.nz[0]]+H.nx[0]];if(ae<=M){E+=X[Z<<1];}else{o=true;I=H.size;for(ad=1;ad<I;ad++){if(H.pz[ad]>=0){V=A[H.pz[ad]][e[H.pz[ad]]+H.px[ad]];if(V<ae){if(V<=M){o=false;break}ae=V;}}if(H.nz[ad]>=0){W=A[H.nz[ad]][e[H.nz[ad]]+H.nx[ad]];if(W>M){if(ae<=W){o=false;break}M=W;}}}E+=(o)?X[(Z<<1)+1]:X[Z<<1];}}if(E<L.stage_classifier[aa].threshold){O=false;break}}if(O){K.push({x:(S*4+s[U]*2)*z,y:(R*4+r[U]*2)*v,width:L.width*z,height:L.height*v,neighbor:1,confidence:E});++S;e[0]+=t;e[1]+=u;e[2]+=ac;}e[0]+=t;e[1]+=u;e[2]+=ac;}e[0]+=T[0];e[1]+=T[1];e[2]+=T[2];}}z*=N;v*=N;}return K},group_rectangles:function(h,m){if(typeof m==="undefined"){m=1;}var z,w,r=h.length;var s=[];for(z=0;z<r;++z){s[z]={parent:-1,element:h[z],rank:0};}for(z=0;z<r;++z){if(!s[z].element){continue}var u=z;while(s[u].parent!=-1){u=s[u].parent;}for(w=0;w<r;++w){if(z!=w&&s[w].element&&c(s[z].element,s[w].element)){var t=w;while(s[t].parent!=-1){t=s[t].parent;}if(t!=u){if(s[u].rank>s[t].rank){s[t].parent=u;}else{s[u].parent=t;if(s[u].rank==s[t].rank){s[t].rank++;}u=t;}var B,e=w;while(s[e].parent!=-1){B=e;e=s[e].parent;s[B].parent=u;}e=z;while(s[e].parent!=-1){B=e;e=s[e].parent;s[B].parent=u;}}}}}var x=[];var p=0;for(z=0;z<r;z++){w=-1;var f=z;if(s[f].element){while(s[f].parent!=-1){f=s[f].parent;}if(s[f].rank>=0){s[f].rank=~p++;}w=~s[f].rank;}x[z]=w;}var o=[];for(z=0;z<p+1;++z){o[z]={neighbors:0,x:0,y:0,width:0,height:0,confidence:0};}for(z=0;z<r;++z){var A=h[z];var l=x[z];if(o[l].neighbors==0){o[l].confidence=A.confidence;}++o[l].neighbors;o[l].x+=A.x;o[l].y+=A.y;o[l].width+=A.width;o[l].height+=A.height;o[l].confidence=Math.max(o[l].confidence,A.confidence);}var k=[];for(z=0;z<p;++z){r=o[z].neighbors;if(r>=m){k.push({x:(o[z].x*2+r)/(2*r),y:(o[z].y*2+r)/(2*r),width:(o[z].width*2+r)/(2*r),height:(o[z].height*2+r)/(2*r),neighbors:o[z].neighbors,confidence:o[z].confidence});}}var q=[];r=k.length;for(z=0;z<r;++z){var A=k[z];var y=true;for(w=0;w<r;++w){var v=k[w];var g=(v.width*0.25+0.5)|0;if(z!=w&&A.x>=v.x-g&&A.y>=v.y-g&&A.x+A.width<=v.x+v.width+g&&A.y+A.height<=v.y+v.height+g&&(v.neighbors>Math.max(3,A.neighbors)||A.neighbors<3)){y=false;break}}if(y){q.push(A);}}return q}}})();a.bbf=b;})(jsfeat);(function(a){if(typeof module==="undefined"||typeof module.exports==="undefined"){window.jsfeat=a;}else{module.exports=a;}})(jsfeat);
-
-	/**
-	 * this cascade is derived from https://github.com/mtschirs/js-objectdetect implementation
-	 * @author Martin Tschirsich / http://www.tu-darmstadt.de/~m_t
-	 */
-	jsfeat.haar.frontalface = 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-
-	var imageData = e.data.imageData,
-		w = e.data.w,
-		h = e.data.h,
-		videoWidth = e.data.videoWidth,
-		params = e.data.params;
-
-	var img_u8 = new jsfeat.matrix_t(w, h, jsfeat.U8_t | jsfeat.C1_t),
-		edg = new jsfeat.matrix_t(w, h, jsfeat.U8_t | jsfeat.C1_t),
-		ii_sum = new Int32Array((w+1)*(h+1)),
-		ii_sqsum = new Int32Array((w+1)*(h+1)),
-		ii_tilted = new Int32Array((w+1)*(h+1)),
-		ii_canny = new Int32Array((w+1)*(h+1));
-
-	var classifier = jsfeat.haar.frontalface;
-
-	jsfeat.imgproc.grayscale(imageData.data, w, h, img_u8);
-
-	// possible params
-	if (params.equalizeHistogram) {
-		jsfeat.imgproc.equalize_histogram(img_u8, img_u8);
-	}
-	//jsfeat.imgproc.gaussian_blur(img_u8, img_u8, 3);
-
-	jsfeat.imgproc.compute_integral_image(img_u8, ii_sum, ii_sqsum, classifier.tilted ? ii_tilted : null);
-
-	if(params.useCanny) {
-		jsfeat.imgproc.canny(img_u8, edg, 10, 50);
-		jsfeat.imgproc.compute_integral_image(edg, ii_canny, null, null);
-	}
-
-	jsfeat.haar.edgesDensity = params.edgesDensity;
-	var rects = jsfeat.haar.detect_multi_scale(ii_sum, ii_sqsum, ii_tilted, params.useCanny? ii_canny : null, img_u8.cols, img_u8.rows, classifier, params.scaleFactor, params.minScale);
-	rects = jsfeat.haar.group_rectangles(rects, params.min_neighbors);
-
-	for (var i = rects.length-1;i >= 0;i--) {
-		if (rects[i].confidence < params.confidenceThreshold) {
-			rects.splice(i,1);
-		}
-	}
-
-	var rl = rects.length;
-	if (rl == 0) {
-		self.postMessage({
-			faces: []
-		});
-	} else {
-		var best = rects[0];
-		for (var i = 1;i < rl;i++) {
-			if (rects[i].neighbors > best.neighbors) {
-				best = rects[i];
-			} else if (rects[i].neighbors == best.neighbors) {
-				// if (rects[i].width > best.width) best = rects[i]; // use biggest rect
-				if (rects[i].confidence > best.confidence) best = rects[i]; // use most confident rect
-			}
-		}
-
-		var sc = videoWidth / img_u8.cols;
-		best.x = (best.x*sc)|0;
-		best.y = (best.y*sc)|0;
-		best.width = (best.width*sc)|0;
-		best.height = (best.height*sc)|0;
-
-		self.postMessage({
-			faces: [best]
-		});
-	}
-};
-
-// import { drawDetection, drawFacialPoints, drawBoundingBox } from './utils/debugging.js';
-
-var faceDetection = function(pdmModel, params) {
-
-	// processes an image, detects a face and returns the initial face parameters for clmtrackr
-	//   calls a callback function when it's done
-	//   optionally uses web workers
-
-	if (params === undefined) params = {};
-	if (params.workSize === undefined) params.workSize = 200;
-	if (params.minScale === undefined) params.minScale = 2;
-	if (params.scaleFactor === undefined) params.scaleFactor = 1.15;
-	if (params.useCanny === undefined) params.useCanny = false;
-	if (params.edgesDensity === undefined) params.edgesDensity = 0.13;
-	if (params.equalizeHistogram === undefined) params.equalizeHistogram = false;
-	if (params.min_neighbors === undefined) params.min_neighbors = 2;
-	if (params.confidenceThreshold === undefined) params.confidenceThreshold = 106.1;
-	if (params.useWebWorkers === undefined) params.useWebWorkers = true;
-
-	// disable web workers if not exists
-	if (!window.Worker) params.useWebWorkers = false;
-
-	var msxmin, msymin, msymax;
-	var msmodelheight;
-	var element;
-
-	var model = pdmModel;
-
-	var mosseFilter = mosse.mosseFilter;
-	var left_eye_filter = mosse.filters.left_eye_filter;
-	var right_eye_filter = mosse.filters.right_eye_filter;
-	var nose_filter = mosse.filters.nose_filter;
-
-	var mossef_lefteye, mossef_righteye, mossef_nose;
-	var right_eye_position = [0.0,0.0];
-	var left_eye_position = [0.0,0.0];
-	var nose_position = [0.0,0.0];
-
-	if (model.hints && mosseFilter && left_eye_filter && right_eye_filter && nose_filter) {
-		mossef_lefteye = new mosseFilter();
-		mossef_lefteye.load(left_eye_filter);
-		mossef_righteye = new mosseFilter();
-		mossef_righteye.load(right_eye_filter);
-		mossef_nose = new mosseFilter();
-		mossef_nose.load(nose_filter);
-	} else {
-		console.log('MOSSE filters not found, using rough approximation for initialization.');
-	}
-
-	// load mean shape
-	var meanShape = model.shapeModel.meanShape;
-	var numPatches = model.patchModel.numPatches;
-
-	// get max and mins, width and height of meanshape
-	msymax = 0;
-	msxmin = msymin = 1000000;
-	for (var i = 0;i < numPatches;i++) {
-		if (meanShape[i][0] < msxmin) msxmin = meanShape[i][0];
-		if (meanShape[i][1] < msymin) msymin = meanShape[i][1];
-		if (meanShape[i][1] > msymax) msymax = meanShape[i][1];
-	}
-	msmodelheight = msymax-msymin;
-
-	var jf = new jsfeat_face(params);
-
-	this.init = function(video) {
-		element = video;
-
-		jf.init(element);
-	};
-
-	var getBoundingBox = function(box) {
-		return new Promise(function(resolve, reject) {
-			if (box) {
-				resolve({x : box[0], y : box[1], width : box[2], height : box[3]});
-			} else {
-				resolve(jf.findFace());
-			}
-		});
-	};
-
-	var getFinegrainedPosition = function(candidate) {
-		var translateX, translateY, scaling, rotation;
-		var x = candidate.x;
-		var y = candidate.y;
-		var w = candidate.width;
-		var h = candidate.height;
-
-		// var debugCC = document.getElementById('overlay2').getContext('2d')
-		if (model.hints && mosseFilter && left_eye_filter && right_eye_filter && nose_filter) {
-			var noseFilterWidth = w * 4.5/10;
-			var eyeFilterWidth = w * 6/10;
-
-			// detect position of eyes and nose via mosse filter
-			var nose_result = mossef_nose.track(element, Math.round(x+(w/2)-(noseFilterWidth/2)), Math.round(y+h*(5/8)-(noseFilterWidth/2)), noseFilterWidth, noseFilterWidth, false);
-			var right_result = mossef_righteye.track(element, Math.round(x+(w*3/4)-(eyeFilterWidth/2)), Math.round(y+h*(2/5)-(eyeFilterWidth/2)), eyeFilterWidth, eyeFilterWidth, false);
-			var left_result = mossef_lefteye.track(element, Math.round(x+(w/4)-(eyeFilterWidth/2)), Math.round(y+h*(2/5)-(eyeFilterWidth/2)), eyeFilterWidth, eyeFilterWidth, false);
-			right_eye_position[0] = Math.round(x+(w*3/4)-(eyeFilterWidth/2))+right_result[0];
-			right_eye_position[1] = Math.round(y+h*(2/5)-(eyeFilterWidth/2))+right_result[1];
-			left_eye_position[0] = Math.round(x+(w/4)-(eyeFilterWidth/2))+left_result[0];
-			left_eye_position[1] = Math.round(y+h*(2/5)-(eyeFilterWidth/2))+left_result[1];
-			nose_position[0] = Math.round(x+(w/2)-(noseFilterWidth/2))+nose_result[0];
-			nose_position[1] = Math.round(y+h*(5/8)-(noseFilterWidth/2))+nose_result[1];
-
-			// drawDetection(debugCC, candidate, [left_eye_position, right_eye_positions, nose_position]);
-
-			// get eye and nose positions of model
-			var lep = model.hints.leftEye;
-			var rep = model.hints.rightEye;
-			var mep = model.hints.nose;
-
-			// get scaling, rotation, etc. via procrustes analysis
-			var procrustes_params = procrustes([left_eye_position, right_eye_position, nose_position], [lep, rep, mep]);
-			translateX = procrustes_params[0];
-			translateY = procrustes_params[1];
-			scaling = procrustes_params[2];
-			rotation = procrustes_params[3];
-
-			// drawFacialPoints(debugCC, [lep, rep, mep], procrustes_params);
-		} else {
-			// drawBoundingBox(debugCC, [x,y,w,h]);
-			scaling = w/msmodelheight;
-			rotation = 0;
-			translateX = x-(msxmin*scaling)+0.1*w;
-			translateY = y-(msymin*scaling)+0.25*h;
-		}
-
-		return [scaling, rotation, translateX, translateY];
-	};
-
-	// get initial starting point for model
-	this.getInitialPosition = function(box) {
-		return new Promise(function(resolve, reject) {
-			getBoundingBox(box)
-				.then(getFinegrainedPosition)
-				.then(resolve)
-				.catch(reject);
-		});
-	};
-
-	// procrustes analysis
-	function procrustes(template, shape) {
-		// assume template and shape is a vector of x,y-coordinates
-		//i.e. template = [[x1,y1], [x2,y2], [x3,y3]];
-		var templateClone = [];
-		var shapeClone = [];
-		for (var i = 0;i < template.length;i++) {
-			templateClone[i] = [template[i][0], template[i][1]];
-		}
-		for (var i = 0;i < shape.length;i++) {
-			shapeClone[i] = [shape[i][0], shape[i][1]];
-		}
-		shape = shapeClone;
-		template = templateClone;
-
-		// calculate translation
-		var templateMean = [0.0, 0.0];
-		for (var i = 0;i < template.length;i++) {
-			templateMean[0] += template[i][0];
-			templateMean[1] += template[i][1];
-		}
-		templateMean[0] /= template.length;
-		templateMean[1] /= template.length;
-
-		var shapeMean = [0.0, 0.0];
-		for (var i = 0;i < shape.length;i++) {
-			shapeMean[0] += shape[i][0];
-			shapeMean[1] += shape[i][1];
-		}
-		shapeMean[0] /= shape.length;
-		shapeMean[1] /= shape.length;
-
-		var translationX = templateMean[0] - shapeMean[0];
-		var translationY = templateMean[1] - shapeMean[1];
-
-		// centralize
-		for (var i = 0;i < shape.length;i++) {
-			shape[i][0] -= shapeMean[0];
-			shape[i][1] -= shapeMean[1];
-		}
-		for (var i = 0;i < template.length;i++) {
-			template[i][0] -= templateMean[0];
-			template[i][1] -= templateMean[1];
-		}
-
-		// scaling
-
-		var scaleS = 0.0;
-		for (var i = 0;i < shape.length;i++) {
-			scaleS += ((shape[i][0])*(shape[i][0]));
-			scaleS += ((shape[i][1])*(shape[i][1]));
-		}
-		scaleS = Math.sqrt(scaleS/shape.length);
-
-		var scaleT = 0.0;
-		for (var i = 0;i < template.length;i++) {
-			scaleT += ((template[i][0])*(template[i][0]));
-			scaleT += ((template[i][1])*(template[i][1]));
-		}
-		scaleT = Math.sqrt(scaleT/template.length);
-
-		var scaling = scaleT/scaleS;
-
-		for (var i = 0;i < shape.length;i++) {
-			shape[i][0] *= scaling;
-			shape[i][1] *= scaling;
-		}
-
-		// rotation
-
-		var top = 0.0;
-		var bottom = 0.0;
-		for (var i = 0;i < shape.length;i++) {
-			top += (shape[i][0]*template[i][1] - shape[i][1]*template[i][0]);
-			bottom += (shape[i][0]*template[i][0] + shape[i][1]*template[i][1]);
-		}
-		var rotation = Math.atan(top/bottom);
-
-		translationX += (shapeMean[0]-(scaling*Math.cos(-rotation)*shapeMean[0])-(scaling*shapeMean[1]*Math.sin(-rotation)));
-		translationY += (shapeMean[1]+(scaling*Math.sin(-rotation)*shapeMean[0])-(scaling*shapeMean[1]*Math.cos(-rotation)));
-
-		return [translationX, translationY, scaling, rotation];
-	}
-};
-
-// simple wrapper for jsfeat face detector that can run as a webworker
-var jsfeat_face = function(parameters) {
-
-	var params = parameters;
-	var maxWorkSize = params.workSize;
-	var useWebWorkers = params.useWebWorkers;
-
-	var work_canvas = document.createElement('canvas');
-	var work_ctx = work_canvas.getContext('2d');
-
-	var videoWidth, videoHeight, scale, video, w, h;
-	var img_u8, edg, ii_sum, ii_sqsum, ii_tilted, ii_canny, classifier;
-	var worker;
-
-	if (useWebWorkers) {
-		// Courtesy of stackoverflow
-		Worker.createURL = function(func_or_string) {
-			var str = (typeof func_or_string === 'function')?func_or_string.toString():func_or_string;
-			var blob = new Blob(['\'use strict\';\nself.onmessage ='+str], { type: 'text/javascript' });
-			return window.URL.createObjectURL(blob);
-		};
-
-		Worker.create = function(func_or_string) {
-			return new Worker(Worker.createURL(func_or_string));
-		};
-
-		worker = Worker.create(findFaceWorker);
-	}
-
-	this.init = function(element) {
-		video = element;
-		videoWidth = video.width;
-		videoHeight = video.height;
-
-		// scale down canvas we do detection on (to reduce noisy detections)
-		scale = Math.min(maxWorkSize/videoWidth, maxWorkSize/videoHeight);
-		w = (videoWidth*scale)|0;
-		h = (videoHeight*scale)|0;
-
-		work_canvas.height = h;
-		work_canvas.width = w;
-
-		if (!useWebWorkers) {
-			img_u8 = new jsfeat_1.matrix_t(w, h, jsfeat_1.U8_t | jsfeat_1.C1_t);
-			edg = new jsfeat_1.matrix_t(w, h, jsfeat_1.U8_t | jsfeat_1.C1_t);
-			ii_sum = new Int32Array((w+1)*(h+1));
-			ii_sqsum = new Int32Array((w+1)*(h+1));
-			ii_tilted = new Int32Array((w+1)*(h+1));
-			ii_canny = new Int32Array((w+1)*(h+1));
-			classifier = jsfeat_1.haar.frontalface;
-		}
-	};
-
-	this.findFace = function () {
-		work_ctx.drawImage(video, 0, 0, work_canvas.width, work_canvas.height);
-		var imageData = work_ctx.getImageData(0, 0, work_canvas.width, work_canvas.height);
-
-		return new Promise(function(resolve, reject) {
-			if (useWebWorkers) {
-				worker.addEventListener('message', function (e) {
-					if (e.data.faces.length > 0) {
-						resolve(e.data.faces[0]);
-					} else {
-						reject();
-					}
-				}.bind(this), false);
-
-				worker.postMessage({
-					w: work_canvas.width,
-					h: work_canvas.height,
-					videoWidth: videoWidth,
-					imageData:imageData,
-					params: params
-				});
-			} else {
-				jsfeat_1.imgproc.grayscale(imageData.data, work_canvas.width, work_canvas.height, img_u8);
-
-				// possible params
-				if(params.equalizeHistogram) {
-					jsfeat_1.imgproc.equalize_histogram(img_u8, img_u8);
-				}
-				//jsfeat.imgproc.gaussian_blur(img_u8, img_u8, 3);
-
-				jsfeat_1.imgproc.compute_integral_image(img_u8, ii_sum, ii_sqsum, classifier.tilted ? ii_tilted : null);
-
-				if(params.useCanny) {
-					jsfeat_1.imgproc.canny(img_u8, edg, 10, 50);
-					jsfeat_1.imgproc.compute_integral_image(edg, ii_canny, null, null);
-				}
-
-				jsfeat_1.haar.edgesDensity = params.edgesDensity;
-				var rects = jsfeat_1.haar.detect_multi_scale(ii_sum, ii_sqsum, ii_tilted, params.useCanny? ii_canny : null, img_u8.cols, img_u8.rows, classifier, params.scaleFactor, params.minScale);
-				rects = jsfeat_1.haar.group_rectangles(rects, params.min_neighbors);
-
-				for (var i = rects.length-1;i >= 0;i--) {
-					if (rects[i].confidence < params.confidenceThreshold) {
-						rects.splice(i,1);
-					}
-				}
-
-				var rl = rects.length;
-				if (rl == 0) {
-					reject();
-				} else {
-					var best = rects[0];
-					for (var i = 1; i < rl; i++) {
-						if (rects[i].neighbors > best.neighbors) {
-							best = rects[i];
-						} else if (rects[i].neighbors == best.neighbors) {
-							// if (rects[i].width > best.width) best = rects[i]; // use biggest rect
-							if (rects[i].confidence > best.confidence) best = rects[i]; // use most confident rect
-						}
-					}
-
-					var sc = videoWidth / img_u8.cols;
-					best.x = (best.x*sc)|0;
-					best.y = (best.y*sc)|0;
-					best.width = (best.width*sc)|0;
-					best.height = (best.height*sc)|0;
-
-					resolve(best);
-				}
-			}
-		});
-	};
-};
-
-/**
- * this cascade is derived from https://github.com/mtschirs/js-objectdetect implementation
- * @author Martin Tschirsich / http://www.tu-darmstadt.de/~m_t
- */
-jsfeat_1.haar.frontalface = 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-
-/**
- * Fast Fourier Transform
- * 1D-FFT/IFFT, 2D-FFT/IFFT (radix-2)
- *
- * @author ryo / github.com/wellflat
- * Based on https://github.com/wellflat/javascript-labs with some tiny optimizations
- */
-
-function FFT$1() {
-
-	var _n = 0,          // order
-		_bitrev = null,  // bit reversal table
-		_cstb = null;    // sin/cos table
-	var _tre, _tim;
-
-	this.init = function (n) {
-		if(n !== 0 && (n & (n - 1)) === 0) {
-			_n = n;
-			_setVariables();
-			_makeBitReversal();
-			_makeCosSinTable();
-		} else {
-			throw new Error('init: radix-2 required');
-		}
-	};
-
-	// 1D-FFT
-	this.fft1d = function (re, im) {
-		fft(re, im, 1);
-	};
-
-	// 1D-IFFT
-	this.ifft1d = function (re, im) {
-		var n = 1/_n;
-		fft(re, im, -1);
-		for(var i=0; i<_n; i++) {
-			re[i] *= n;
-			im[i] *= n;
-		}
-	};
-
-	// 2D-FFT
-	this.fft2d = function (re, im) {
-		var i = 0;
-		// x-axis
-		for(var y=0; y<_n; y++) {
-			i = y*_n;
-			for(var x1=0; x1<_n; x1++) {
-				_tre[x1] = re[x1 + i];
-				_tim[x1] = im[x1 + i];
-			}
-			this.fft1d(_tre, _tim);
-			for(var x2=0; x2<_n; x2++) {
-				re[x2 + i] = _tre[x2];
-				im[x2 + i] = _tim[x2];
-			}
-		}
-
-		// y-axis
-		for(var x=0; x<_n; x++) {
-			for(var y1=0; y1<_n; y1++) {
-				i = x + y1*_n;
-				_tre[y1] = re[i];
-				_tim[y1] = im[i];
-			}
-			this.fft1d(_tre, _tim);
-			for(var y2=0; y2<_n; y2++) {
-				i = x + y2*_n;
-				re[i] = _tre[y2];
-				im[i] = _tim[y2];
-			}
-		}
-	};
-
-	// 2D-IFFT
-	this.ifft2d = function (re, im) {
-		var i = 0;
-		// x-axis
-		for(var y=0; y<_n; y++) {
-			i = y*_n;
-			for(var x1=0; x1<_n; x1++) {
-				_tre[x1] = re[x1 + i];
-				_tim[x1] = im[x1 + i];
-			}
-			this.ifft1d(_tre, _tim);
-			for(var x2=0; x2<_n; x2++) {
-				re[x2 + i] = _tre[x2];
-				im[x2 + i] = _tim[x2];
-			}
-		}
-		// y-axis
-		for(var x=0; x<_n; x++) {
-			for(var y1=0; y1<_n; y1++) {
-				i = x + y1*_n;
-				_tre[y1] = re[i];
-				_tim[y1] = im[i];
-			}
-			this.ifft1d(_tre, _tim);
-			for(var y2=0; y2<_n; y2++) {
-				i = x + y2*_n;
-				re[i] = _tre[y2];
-				im[i] = _tim[y2];
-			}
-		}
-	};
-
-	// 2D-IFFT, real-valued
-	// only outputs the real valued part
-	this.real_ifft2d = function (re, im) {
-		var i2;
-		var i = 0;
-		// x-axis
-		for(var y=0; y<_n; y++) {
-			i = y*_n;
-			for(var x1=0; x1<_n; x1++) {
-				_tre[x1] = re[x1 + i];
-				_tim[x1] = im[x1 + i];
-			}
-			this.ifft1d(_tre, _tim);
-			for(var x2=0; x2<_n; x2++) {
-				re[x2 + i] = _tre[x2];
-				im[x2 + i] = _tim[x2];
-			}
-		}
-		// y-axis
-		var halfn = _n/2;
-		var rowIdx = 0;
-		for(var x=0; x<_n; x+=2) {
-			//untangle
-			i = x;
-			i2 = x+1;
-			_tre[0] = re[0 + i];
-			_tim[0] = re[0 + i2];
-			_tre[_n/2] = re[(halfn*_n) + i];
-			_tim[_n/2] = re[(halfn*_n) + i2];
-			for (var x2=1;x2<halfn;x2++) {
-				rowIdx = x2*_n;
-				_tre[x2] = re[rowIdx+i] - im[rowIdx + i2];
-				_tre[_n - x2] = re[rowIdx+i] + im[rowIdx + i2];
-				_tim[x2] = im[rowIdx+i] + re[rowIdx+i2];
-				_tim[_n - x2] = re[rowIdx+i2] - im[rowIdx+i];
-			}
-			this.ifft1d(_tre, _tim);
-			for(var y2=0; y2<_n; y2++) {
-				i = x + y2*_n;
-				i2 = (x + 1) + y2*_n;
-				re[i] = _tre[y2];
-				re[i2] = _tim[y2];
-			}
-		}
-	};
-
-	// 2D-FFT, real-valued only
-	// ignores the imaginary input
-	//   see:
-	// http://www.inf.fu-berlin.de/lehre/SS12/SP-Par/download/fft1.pdf
-	// http://cnx.org/content/m12021/latest/
-	// http://images.apple.com/acg/pdf/g4fft.pdf
-	// http://www.ti.com/lit/an/spra291/spra291.pdf
-	this.real_fft2d = function (re, im) {
-		var i = 0, i2 = 0;
-		// x-axis
-		for(var y=0; y<_n; y += 2) {
-			i = y*_n;
-			i2 = (y+1)*_n;
-			// tangle
-			for(var x1=0; x1<_n; x1++) {
-				_tre[x1] = re[x1 + i];
-				_tim[x1] = re[x1 + i2];
-			}
-			this.fft1d(_tre, _tim);
-			// untangle
-			re[0 + i] = _tre[0];
-			re[0 + i2] = _tim[0];
-			im[0 + i] = 0;
-			im[0 + i2] = 0;
-			re[_n/2 + i] = _tre[_n/2];
-			re[_n/2 + i2] = _tim[_n/2];
-			im[_n/2 + i] = 0;
-			im[_n/2 + i2] = 0;
-			for(var x2=1;x2<(_n/2);x2++) {
-				re[x2 + i] = 0.5 * (_tre[x2] + _tre[_n - x2]);
-				im[x2 + i] = 0.5 * (_tim[x2] - _tim[_n - x2]);
-				re[x2 + i2] = 0.5 * (_tim[x2] + _tim[_n - x2]);
-				im[x2 + i2] = -0.5 * (_tre[x2] - _tre[_n - x2]);
-				re[(_n-x2) + i] = re[x2 + i];
-				im[(_n-x2) + i] = -im[x2 + i];
-				re[(_n-x2) + i2] = re[x2 + i2];
-				im[(_n-x2) + i2] = -im[x2 + i2];
-			}
-		}
-		// y-axis
-		for(var x=0; x<_n; x++) {
-			for(var y1=0; y1<_n; y1++) {
-				i = x + y1*_n;
-				_tre[y1] = re[i];
-				_tim[y1] = im[i];
-			}
-			this.fft1d(_tre, _tim);
-			for(var y2=0; y2<_n; y2++) {
-				i = x + y2*_n;
-				re[i] = _tre[y2];
-				im[i] = _tim[y2];
-			}
-		}
-	};
-
-	// core operation of FFT
-	function fft(re, im, inv) {
-		var d, h, ik, m, tmp, wr, wi, xr, xi,
-			n4 = _n >> 2;
-		// bit reversal
-		for(var l=0; l<_n; l++) {
-			m = _bitrev[l];
-			if(l < m) {
-				tmp = re[l];
-				re[l] = re[m];
-				re[m] = tmp;
-				tmp = im[l];
-				im[l] = im[m];
-				im[m] = tmp;
-			}
-		}
-		// butterfly operation
-		//butfly(re,im,inv,n4);
-		for(var k=1; k<_n; k<<=1) {
-			h = 0;
-			d = _n/(k << 1);
-			for(var j=0; j<k; j++) {
-				wr = _cstb[h + n4];
-				wi = inv*_cstb[h];
-				for(var i=j; i<_n; i+=(k<<1)) {
-					ik = i + k;
-					xr = wr*re[ik] + wi*im[ik];
-					xi = wr*im[ik] - wi*re[ik];
-					re[ik] = re[i] - xr;
-					re[i] += xr;
-					im[ik] = im[i] - xi;
-					im[i] += xi;
-				}
-				h += d;
-			}
-		}
-	}
-
-	function _setVariables() {
-		if(typeof Uint8Array !== 'undefined') {
-			_bitrev = new Uint8Array(_n);
-		} else {
-			_bitrev = new Array(_n);
-		}
-		if(typeof Float64Array !== 'undefined') {
-			_cstb = new Float64Array(_n*1.25);
-			_tre = new Float64Array(_n);
-			_tim = new Float64Array(_n);
-		} else {
-			_cstb = new Array(_n*1.25);
-			_tre = new Array(_n);
-			_tim = new Array(_n);
-		}
-	}
-
-	// make bit reversal table
-	function _makeBitReversal() {
-		var i = 0,
-			j = 0,
-			k = 0;
-		_bitrev[0] = 0;
-		while(++i < _n) {
-			k = _n >> 1;
-			while(k <= j) {
-				j -= k;
-				k >>= 1;
-			}
-			j += k;
-			_bitrev[i] = j;
-		}
-	}
-
-	// make trigonometric function table
-	function _makeCosSinTable() {
-		var n2 = _n >> 1,
-			n4 = _n >> 2,
-			n8 = _n >> 3,
-			n2p4 = n2 + n4,
-			t = Math.sin(Math.PI/_n),
-			dc = 2*t*t,
-			ds = Math.sqrt(dc*(2 - dc)),
-			c = _cstb[n4] = 1,
-			s = _cstb[0] = 0;
-		t = 2*dc;
-		for(var i=1; i<n8; i++) {
-			c -= dc;
-			dc += t*c;
-			s += ds;
-			ds -= t*s;
-			_cstb[i] = s;
-			_cstb[n4 - i] = c;
-		}
-		if(n8 !== 0) {
-			_cstb[n8] = Math.sqrt(0.5);
-		}
-		for(var j=0; j<n4; j++) {
-			_cstb[n2 - j]  = _cstb[j];
-		}
-		for(var k=0; k<n2p4; k++) {
-			_cstb[k + n2] = -_cstb[k];
-		}
-	}
-}
-
-var svmFilter = function() {
-
-	var _fft, fft_filters, responses, biases;
-	var fft_size, filterLength, filter_width, search_width, num_patches;
-	var temp_imag_part, temp_real_part;
-
-	// fft function
-	this.fft_inplace = function(array, _im_part) {
-		// in-place
-
-		if (typeof _im_part == 'undefined') {
-			_im_part = temp_imag_part;
-		}
-
-		for (var i = 0;i < filterLength;i++) {
-			_im_part[i] = 0.0;
-		}
-
-		_fft.real_fft2d(array,_im_part);
-
-		return [array, _im_part];
-	};
-
-	this.ifft = function(rn, cn) {
-		// in-place
-		_fft.real_ifft2d(rn, cn);
-		return rn;
-	};
-
-	var complex_mult_inplace = function(cn1, cn2) {
-		// in-place, cn1 is the one modified
-		var temp1, temp2;
-		for (var r = 0;r < filterLength;r++) {
-			temp1 = (cn1[0][r]*cn2[0][r]) - (cn1[1][r]*cn2[1][r]);
-			temp2 = (cn1[0][r]*cn2[1][r]) + (cn1[1][r]*cn2[0][r]);
-			cn1[0][r] = temp1;
-			cn1[1][r] = temp2;
-		}
-	};
-
-	this.init = function(filter_input, bias_input, numPatches, filterWidth, searchWidth) {
-		// calculate needed size of fft (has to be power of two)
-		fft_size = upperPowerOfTwo(filterWidth-1+searchWidth);
-		filterLength = fft_size*fft_size;
-		_fft = new FFT$1();
-		_fft.init(fft_size);
-		fft_filters = Array(numPatches);
-		var fft_filter;
-		var edge = (filterWidth-1)/2;
-
-		for (var i = 0;i < numPatches;i++) {
-			var flar_fi0 = new Float64Array(filterLength);
-			var flar_fi1 = new Float64Array(filterLength);
-
-			// load filter
-			var xOffset, yOffset;
-			for (var j = 0;j < filterWidth;j++) {
-				for (var k = 0;k < filterWidth;k++) {
-					// TODO : rotate filter
-
-					xOffset = k < edge ? (fft_size-edge) : (-edge);
-					yOffset = j < edge ? (fft_size-edge) : (-edge);
-					flar_fi0[k+xOffset+((j+yOffset)*fft_size)] = filter_input[i][(filterWidth-1-j)+((filterWidth-1-k)*filterWidth)];
-
-					/*xOffset = k < edge ? (fft_size-edge) : (-edge);
-					yOffset = j < edge ? (fft_size-edge) : (-edge);
-					flar_fi0[k+xOffset+((j+yOffset)*fft_size)] = filter_input[i][k+(j*filterWidth)];*/
-
-					//console.log(k + ','+ j+':' + (k+xOffset+((j+yOffset)*fft_size)))
-				}
-			}
-
-			// fft it and store
-			fft_filter = this.fft_inplace(flar_fi0, flar_fi1);
-			fft_filters[i] = fft_filter;
-
-		}
-
-		// set up biases
-		biases = new Float64Array(numPatches);
-		for (var i = 0;i < numPatches;i++) {
-			biases[i] = bias_input[i];
-		}
-
-		responses = Array(numPatches);
-		temp_imag_part = Array(numPatches);
-		for (var i = 0;i < numPatches;i++) {
-			responses[i] = new Float64Array(searchWidth*searchWidth);
-			temp_imag_part[i] = new Float64Array(searchWidth*searchWidth);
-		}
-		temp_real_part = new Float64Array(filterLength);
-
-		num_patches = numPatches;
-		filter_width = filterWidth;
-		search_width = searchWidth;
-	};
-
-	this.getResponses = function(patches) {
-		var response, edge;
-		var patch_width = filter_width-1+search_width;
-		for (var i = 0;i < num_patches;i++) {
-			// reset zeroes in temp_real_part
-			for (var j = 0;j < fft_size*fft_size;j++) {
-				temp_real_part[j] = 0.0;
-			}
-
-			// normalize patches to 0-1
-			patches[i] = normalizePatches(patches[i]);
-
-			// patch must be padded (with zeroes) to match fft size
-			for (var j = 0;j < patch_width;j++) {
-				for (var k = 0;k < patch_width;k++) {
-					temp_real_part[j + (fft_size*k)] = patches[i][k + (patch_width*j)];
-				}
-			}
-
-			//drawData(document.getElementById('sketch').getContext('2d'), temp_real_part, 32, 32, false, 0, 0);
-
-			// fft it
-			response = this.fft_inplace(temp_real_part);
-
-			// multiply pointwise with filter
-			complex_mult_inplace(response, fft_filters[i]);
-
-			// inverse fft it
-			response = this.ifft(response[0], response[1]);
-
-			// crop out edges
-			edge = (filter_width-1)/2;
-			for (var j = 0;j < search_width;j++) {
-				for (var k = 0;k < search_width;k++) {
-					responses[i][j + (k*search_width)] = response[edge + k + ((j+edge)*(fft_size))];
-				}
-			}
-
-			// add bias
-			for (var j = 0;j < search_width*search_width;j++) {
-				responses[i][j] += biases[i];
-			}
-
-			// logistic transformation
-			responses[i] = logisticResponse(responses[i]);
-
-			/*responses[i] = new Float64Array(32*32)
-			for (var j = 0;j < 32;j++) {
-				for (var k = 0;k < 32;k++) {
-					responses[i][k + (j*(32))] = response[k + (j*(32))]
-				}
-			}*/
-
-			// normalization?
-			inplaceNormalizeFilterMatrix(responses[i]);
-		}
-
-		return responses;
-	};
-
-	var normalizePatches = function(patch) {
-		var patch_width = filter_width-1+search_width;
-		var max = 0;
-		var min = 1000;
-		var value;
-		for (var j = 0;j < patch_width;j++) {
-			for (var k = 0;k < patch_width;k++) {
-				value = patch[k + (patch_width*j)];
-				if (value < min) {
-					min = value;
-				}
-				if (value > max) {
-					max = value;
-				}
-			}
-		}
-		var scale = max-min;
-		for (var j = 0;j < patch_width;j++) {
-			for (var k = 0;k < patch_width;k++) {
-				patch[k + (patch_width*j)] = (patch[k + (patch_width*j)]-min)/scale;
-			}
-		}
-		return patch;
-	};
-
-	var logisticResponse = function(response) {
-		// create probability by doing logistic transformation
-		for (var j = 0;j < search_width;j++) {
-			for (var k = 0;k < search_width;k++) {
-				response[j + (k*search_width)] = 1.0/(1.0 + Math.exp(- (response[j + (k*search_width)] - 1.0 )));
-			}
-		}
-		return response;
-	};
-
-	var upperPowerOfTwo = function(x) {
-		x--;
-		x |= x >> 1;
-		x |= x >> 2;
-		x |= x >> 4;
-		x |= x >> 8;
-		x |= x >> 16;
-		x++;
-		return x;
-	};
-
-	var inplaceNormalizeFilterMatrix = function(response) {
-		// normalize responses to lie within [0,1]
-		var msize = response.length;
-		var max = 0;
-		var min = 1;
-
-		for (var i = 0;i < msize;i++) {
-			max = response[i] > max ? response[i] : max;
-			min = response[i] < min ? response[i] : min;
-		}
-		var dist = max-min;
-
-		if (dist == 0) {
-			//console.log('a patchresponse was monotone, causing normalization to fail. Leaving it unchanged.');
-		} else {
-			for (var i = 0;i < msize;i++) {
-				response[i] = (response[i]-min)/dist;
-			}
-		}
-	};
-};
-
-var webglUtils = createCommonjsModule(function (module, exports) {
-// This code is based on webgl-utils.js authored by Gregg Tavares, license below:
-/*
- * Copyright (c) 2011, Gregg Tavares
- * All rights reserved.
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions are
- * met:
- *
- * * Redistributions of source code must retain the above copyright notice,
- *   this list of conditions and the following disclaimer.
- *
- * * Redistributions in binary form must reproduce the above copyright notice,
- *   this list of conditions and the following disclaimer in the documentation
- *   and/or other materials provided with the distribution.
- *
- *  * Neither the name of greggman.com nor the names of its contributors
- *   may be used to endorse or promote products derived from this software
- *   without specific prior written permission.
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
- * IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
- * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
- * PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
- * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
- * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
- * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
- * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
- * LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
- * NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- */
-(function(){
-
-var LOGGING_ENABLED = true;
-
-/**
- * Wrapped logging function.
- * @param {string} msg The message to log.
- */
-const log = function (msg) {
-  if (!LOGGING_ENABLED) { return; }
-  if (window.console && window.console.log) {
-    window.console.log(msg);
-  }
-};
-
-/**
- * Wrapped logging function.
- * @param {string} msg The message to log.
- */
-const error = function (msg) {
-  if (!LOGGING_ENABLED) { return; }
-  if (window.console) {
-    if (window.console.error) {
-      window.console.error(msg);
-    } else if (window.console.log) {
-      window.console.log(msg);
-    }
-  }
-  throw msg;
-};
-
-/**
- * Turn off all logging.
- */
-const loggingOff = function () {
-  LOGGING_ENABLED = false;
-};
-
-/**
- * Check if the page is embedded.
- * @return {boolean} True of we are in an iframe
- */
-const isInIFrame = function () {
-  return window !== window.top;
-};
-
-/**
- * Converts a WebGL enum to a string
- * @param {!WebGLContext} gl The WebGLContext to use.
- * @param {number} value The enum value.
- * @return {string} The enum as a string.
- */
-const glEnumToString = function (gl, value) {
-  for (var p in gl) {
-    if (gl[p] === value) {
-      return p;
-    }
-  }
-  return '0x' + value.toString(16);
-};
-
-
-/**
- * Creates the HTLM for a failure message
- * @param {string} canvasContainerId id of container of th
- *        canvas.
- * @return {string} The html.
- */
-const makeFailHTML = function (msg) {
-  return '' +
-    '<table style="background-color: #8CE; width: 100%; height: 100%;"><tr>' +
-    '<td align="center">' +
-    '<div style="display: table-cell; vertical-align: middle;">' +
-    '<div style="">' + msg + '</div>' +
-    '</div>' +
-    '</td></tr></table>';
-};
-
-
-/**
- * Mesasge for getting a webgl browser
- * @type {string}
- */
-// const GET_A_WEBGL_BROWSER = '' +
-//   'This page requires a browser that supports WebGL.<br/>' +
-//   '<a href="http://get.webgl.org">Click here to upgrade your browser.</a>';
-
-
-/**
- * Mesasge for need better hardware
- * @type {string}
- */
-// const OTHER_PROBLEM = '' +
-//   "It doesn't appear your computer can support WebGL.<br/>" +
-//   '<a href="http://get.webgl.org/troubleshooting/">Click here for more information.</a>';
-
-
-/**
- * Creates a webgl context. If creation fails it will
- * change the contents of the container of the <canvas>
- * tag to an error message with the correct links for WebGL.
- * @param {Element} canvas. The canvas element to create a
- *     context from.
- * @param {WebGLContextCreationAttirbutes} optAttribs Any
- *     creation attributes you want to pass in.
- * @return {WebGLRenderingContext} The created context.
- */
-const setupWebGL = function (canvas, optAttribs) {
-  // const showLink = function (str) {
-  //   var container = canvas.parentNode;
-  //   if (container) {
-  //     container.innerHTML = makeFailHTML(str);
-  //   }
-  // };
-
-  if (!window.WebGLRenderingContext) {
-    // showLink(GET_A_WEBGL_BROWSER);
-    return null;
-  }
-
-  var context = create3DContext(canvas, optAttribs);
-  if (!context) {
-    // showLink(OTHER_PROBLEM);
-    return null;
-  }
-  return context;
-};
-
-
-/**
- * Creates a webgl context.
- * @param {!Canvas} canvas The canvas tag to get context
- *     from. If one is not passed in one will be created.
- * @return {!WebGLContext} The created context.
- */
-const create3DContext = function (canvas, optAttribs) {
-  var names = ['webgl', 'experimental-webgl'];
-  var context = null;
-  for (var ii = 0; ii < names.length; ++ii) {
-    try {
-      context = canvas.getContext(names[ii], optAttribs);
-    } catch (e) {}
-    if (context) {
-      break;
-    }
-  }
-  return context;
-};
-
-const updateCSSIfInIFrame = function () {
-  if (isInIFrame()) {
-    document.body.className = 'iframe';
-  }
-};
-
-/**
- * Gets a WebGL context.
- * makes its backing store the size it is displayed.
- */
-const getWebGLContext = function (canvas) {
-  if (isInIFrame()) {
-    updateCSSIfInIFrame();
-
-    // make the canvas backing store the size it's displayed.
-    canvas.width = canvas.clientWidth;
-    canvas.height = canvas.clientHeight;
-  }
-
-  var gl = setupWebGL(canvas);
-  return gl;
-};
-
-
-/**
- * Loads a shader.
- * @param {!WebGLContext} gl The WebGLContext to use.
- * @param {string} shaderSource The shader source.
- * @param {number} shaderType The type of shader.
- * @param {function(string): void) optErrorCallback callback for errors.
- * @return {!WebGLShader} The created shader.
- */
-const loadShader = function (gl, shaderSource, shaderType, optErrorCallback) {
-  var errFn = optErrorCallback || error;
-  // Create the shader object
-  var shader = gl.createShader(shaderType);
-
-  // Load the shader source
-  gl.shaderSource(shader, shaderSource);
-
-  // Compile the shader
-  gl.compileShader(shader);
-
-  // Check the compile status
-  var compiled = gl.getShaderParameter(shader, gl.COMPILE_STATUS);
-  if (!compiled) {
-    // Something went wrong during compilation; get the error
-    var lastError = gl.getShaderInfoLog(shader);
-    errFn("*** Error compiling shader '" + shader + "':" + lastError);
-    gl.deleteShader(shader);
-    return null;
-  }
-
-  return shader;
-};
-
-
-/**
- * Creates a program, attaches shaders, binds attrib locations, links the
- * program and calls useProgram.
- * @param {!Array.<!WebGLShader>} shaders The shaders to attach
- * @param {!Array.<string>} optAttribs The attribs names.
- * @param {!Array.<number>} optLocations The locations for the attribs.
- */
-const loadProgram = function (gl, shaders, optAttribs, optLocations) {
-  var program = gl.createProgram();
-  for (var i = 0; i < shaders.length; ++i) {
-    gl.attachShader(program, shaders[i]);
-  }
-  if (optAttribs) {
-    for (var i = 0; i < optAttribs.length; ++i) {
-      gl.bindAttribLocation(
-          program,
-          optLocations ? optLocations[i] : i,
-          optAttribs[i]);
-    }
-  }
-  gl.linkProgram(program);
-
-  // Check the link status
-  const linked = gl.getProgramParameter(program, gl.LINK_STATUS);
-  if (!linked) {
-    // something went wrong with the link
-    const lastError = gl.getProgramInfoLog(program);
-    error('Error in program linking:' + lastError);
-
-    gl.deleteProgram(program);
-    return null;
-  }
-  return program;
-};
-
-
-/**
- * Loads a shader from a script tag.
- * @param {!WebGLContext} gl The WebGLContext to use.
- * @param {string} scriptId The id of the script tag.
- * @param {number} optShaderType The type of shader. If not passed in it will
- *     be derived from the type of the script tag.
- * @param {function(string): void) optErrorCallback callback for errors.
- * @return {!WebGLShader} The created shader.
- */
-const createShaderFromScript = function (
-  gl, scriptId, optShaderType, optErrorCallback
-) {
-  var shaderSource = '';
-  var shaderType;
-  var shaderScript = document.getElementById(scriptId);
-  if (!shaderScript) {
-    throw new Error('*** Error: unknown script element' + scriptId);
-  }
-  shaderSource = shaderScript.text;
-
-  if (!optShaderType) {
-    if (shaderScript.type === 'x-shader/x-vertex') {
-      shaderType = gl.VERTEX_SHADER;
-    } else if (shaderScript.type === 'x-shader/x-fragment') {
-      shaderType = gl.FRAGMENT_SHADER;
-    } else if (
-      shaderType !== gl.VERTEX_SHADER &&
-      shaderType !== gl.FRAGMENT_SHADER
-    ) {
-      throw new Error('*** Error: unknown shader type');
-    }
-  }
-
-  return loadShader(
-    gl,
-    shaderSource,
-    optShaderType || shaderType,
-    optErrorCallback
-  );
-};
-
-{
-  module.exports = {
-    setupWebGL : setupWebGL,
-    createProgram : loadProgram,
-    createShaderFromScript : createShaderFromScript,
-    getWebGLContext : getWebGLContext,
-    loadShader : loadShader
-  };
-}
-
-}());
-});
-
-var webglUtils_1 = webglUtils.setupWebGL;
-var webglUtils_2 = webglUtils.createProgram;
-var webglUtils_5 = webglUtils.loadShader;
-
-var webglFilter = function() {
-
-	/*
-	 * Textures:
-	 * 0 : raw filter
-	 * 1 : patches
-	 * 2 : finished response
-	 * 3 : grad/lbp treated patches
-	 * 4 : sobel filter
-	 * 5 : lbp filter
-	 *
-	 * Routing:
-	 *         (              )  0/4/5 --\
-	 *         (              )          _\|
-	 * 1 ----> ( ---------->3 ) ----------> 2
-	 *         lbpResponse/      patchResponse
-	 *         gradientResponse
-	 */
-
-	var gl, canvas;
-	var filterWidth, filterHeight, patchWidth, patchHeight, numPatches, canvasWidth, canvasHeight;
-	var patchResponseProgram, patchDrawProgram;
-	var fbo, numBlocks, patchTex;
-	var drawRectBuffer, drawLayerBuffer, drawImageBuffer, rttTexture;
-	var texCoordBuffer, texCoordLocation, apositionBuffer;
-	var newCanvasWidth, newCanvasBlockHeight, newCanvasHeight;
-	var drawOutRectangles, drawOutImages, drawOutLayer;
-	var patchCells, textureWidth, textureHeight, patchSize, patchArray;
-	var biases;
-
-	var lbpResponseProgram;
-	var lbpTexCoordLocation, lbpTexCoordBuffer, lbpPositionLocation, lbpAPositionBuffer;
-
-	var gradientResponseProgram;
-	var gbo, gradTexCoordLocation, gradTexCoordBuffer, gradPositionLocation, gradAPositionBuffer;
-
-	var lbpInit = false;
-	var sobelInit = false;
-	var rawInit = false;
-
-	var lbpResponseVS = [
-		'attribute vec2 a_texCoord;',
-		'attribute vec2 a_position;',
-		'',
-		'varying vec2 v_texCoord;',
-		'',
-		'void main() {',
-		'   // transform coordinates to regular coordinates',
-		'   gl_Position = vec4(a_position,0.0,1.0);',
-		' ',
-		'   // pass the texCoord to the fragment shader',
-		'   v_texCoord = a_texCoord;',
-		'}'
-	].join('\n');
-	var lbpResponseFS;
-
-	var gradientResponseVS = [
-		'attribute vec2 a_texCoord;',
-		'attribute vec2 a_position;',
-		'',
-		'varying vec2 v_texCoord;',
-		'',
-		'void main() {',
-		'   // transform coordinates to regular coordinates',
-		'   gl_Position = vec4(a_position,0.0,1.0);',
-		' ',
-		'   // pass the texCoord to the fragment shader',
-		'   v_texCoord = a_texCoord;',
-		'}'
-	].join('\n');
-	var gradientResponseFS;
-
-	var patchResponseVS;
-	var patchResponseFS;
-
-	var drawResponsesVS = [
-		'attribute vec2 a_texCoord_draw;',
-		'attribute vec2 a_position_draw;',
-		'attribute float a_patchChoice_draw;',
-		'',
-		'uniform vec2 u_resolutiondraw;',
-		'',
-		'varying vec2 v_texCoord;',
-		'varying float v_select;',
-		'',
-		'void main() {',
-		'   // convert the rectangle from pixels to 0.0 to 1.0',
-		'   vec2 zeroToOne = a_position_draw / u_resolutiondraw;',
-		'',
-		'   // convert from 0->1 to 0->2',
-		'   vec2 zeroToTwo = zeroToOne * 2.0;',
-		'',
-		'   // convert from 0->2 to -1->+1 (clipspace)',
-		'   vec2 clipSpace = zeroToTwo - 1.0;',
-		'   ',
-		'   // transform coordinates to regular coordinates',
-		'   gl_Position = vec4(clipSpace * vec2(1.0, 1.0), 0, 1);',
-		'',
-		'   // pass the texCoord to the fragment shader',
-		'   v_texCoord = a_texCoord_draw;',
-		'   ',
-		'   v_select = a_patchChoice_draw;',
-		'}'
-	].join('\n');
-
-	var drawResponsesFS = [
-		'precision mediump float;',
-		'',
-		'// our responses',
-		'uniform sampler2D u_responses;',
-		'',
-		'// the texCoords passed in from the vertex shader.',
-		'varying vec2 v_texCoord;',
-		'varying float v_select;',
-		'',
-		'const vec4 bit_shift = vec4(256.0*256.0*256.0, 256.0*256.0, 256.0, 1.0);',
-		'const vec4 bit_mask  = vec4(0.0, 1.0/256.0, 1.0/256.0, 1.0/256.0);',
-		'',
-		'// packing code from here http://stackoverflow.com/questions/9882716/packing-float-into-vec4-how-does-this-code-work',
-		'void main() {',
-		'  vec4 colorSum = texture2D(u_responses, v_texCoord);',
-		'  float value = 0.0;',
-		'  if (v_select < 0.1) {',
-		'    value = colorSum[0];',
-		'  } else if (v_select > 0.9 && v_select < 1.1) {',
-		'    value = colorSum[1];',
-		'  } else if (v_select > 1.9 && v_select < 2.1) {',
-		'    value = colorSum[2];',
-		'  } else if (v_select > 2.9 && v_select < 3.1) {',
-		'    value = colorSum[3];',
-		'  } else {',
-		'    value = 1.0;',
-		'  }',
-		'  ',
-		'  vec4 res = fract(value * bit_shift);',
-		'  res -= res.xxyz * bit_mask;',
-		'  ',
-		'  //gl_FragColor = vec4(value, value, value, value);',
-		'  //gl_FragColor = vec4(1.0, value, 1.0, 1.0);',
-		'  gl_FragColor = res;',
-		'}'
-	].join('\n');
-
-	this.init = function(filters, bias, nP, pW, pH, fW, fH) {
-		// we assume filterVector goes from left to right, rowwise, i.e. row-major order
-
-		if (fW != fH) {
-			alert('filter width and height must be same size!');
-			return;
-		}
-
-		// if filter width is not odd, alert
-		if (fW % 2 == 0 || fH % 2 == 0) {
-			alert('filters used in svm must be of odd dimensions!');
-			return;
-		}
-
-		// setup variables
-		biases = bias;
-		filterWidth = fW;
-		filterHeight = fH;
-		patchWidth = pW;
-		patchHeight = pH;
-		numPatches = nP;
-		numBlocks = Math.floor(numPatches / 4) + Math.ceil((numPatches % 4)/4);
-		canvasWidth = patchWidth;
-		canvasHeight = patchHeight*numBlocks;
-		newCanvasWidth = patchWidth-filterWidth+1;
-		newCanvasBlockHeight = patchHeight-filterWidth+1;
-		newCanvasHeight = newCanvasBlockHeight*numPatches;
-		patchCells = (Math.floor(numPatches / 4) + Math.ceil((numPatches % 4)/4));
-		textureWidth = patchWidth;
-		textureHeight = patchHeight*patchCells;
-		patchSize = patchWidth*patchHeight;
-		patchArray = new Float32Array(patchSize*patchCells*4);
-		var opp = [1/patchWidth, 1/(patchHeight*numBlocks)];
-
-		// write out shaders
-		patchResponseFS = [
-			'precision mediump float;',
-			'',
-			'const vec2 u_onePixelPatches = vec2('+(1/patchWidth).toFixed(10)+','+(1/(patchHeight*numBlocks)).toFixed(10)+');',
-			'const vec2 u_onePixelFilters = vec2('+(1/filterWidth).toFixed(10)+','+(1/(filterHeight*numBlocks)).toFixed(10)+');',
-			'const float u_halffilterwidth = '+((filterWidth-1.0)/2).toFixed(1)+';',
-			'const float u_halffilterheight = '+((filterHeight-1.0)/2).toFixed(1)+';',
-			'',
-			'// our patches',
-			'uniform sampler2D u_patches;',
-			'// our filters',
-			'uniform sampler2D u_filters;',
-			'',
-			'// the texCoords passed in from the vertex shader.',
-			'varying vec2 v_texCoord;',
-			'varying vec2 v_texCoordFilters; // this should give us correct filter',
-			'',
-			'void main() {',
-			'  vec4 colorSum = vec4(0.0, 0.0, 0.0, 0.0);',
-			'  vec4 maxn = vec4(0.0, 0.0, 0.0, 0.0);',
-			'  vec4 minn = vec4(256.0, 256.0, 256.0, 256.0);',
-			'  vec4 scale = vec4(0.0, 0.0, 0.0, 0.0);',
-			'  vec4 patchValue = vec4(0.0, 0.0, 0.0, 0.0);',
-			'  vec4 filterValue = vec4(0.0, 0.0, 0.0, 0.0);',
-			'  vec4 filterTemp = vec4(0.0, 0.0, 0.0, 0.0);',
-			'  for (int w = 0;w < '+filterWidth+';w++) {',
-			'    for (int h = 0;h < '+filterHeight+';h++) {',
-			'      patchValue = texture2D(u_patches, v_texCoord + u_onePixelPatches * vec2(float(w)-u_halffilterwidth, float(h)-u_halffilterheight));',
-			'      filterValue = texture2D(u_filters, v_texCoordFilters + u_onePixelFilters * vec2(float(w)-u_halffilterwidth, float(h)-u_halffilterheight));',
-			'      maxn = max(patchValue, maxn);',
-			'      minn = min(patchValue, minn);',
-			'      colorSum += patchValue*filterValue;',
-			'      filterTemp += filterValue;',
-			'    } ',
-			'  }',
-			'  scale = maxn-minn;',
-			'  colorSum = (colorSum-(minn*filterTemp))/scale;',
-			'  // logistic transformation',
-			'  colorSum = 1.0/(1.0 + exp(- (colorSum) ));',
-			'  gl_FragColor = colorSum;',
-			'}'
-		].join('\n');
-
-		patchResponseVS = [
-			'attribute vec2 a_texCoord;',
-			'attribute vec2 a_position;',
-			'',
-			'const vec2 u_resolution = vec2('+canvasWidth.toFixed(1)+','+canvasHeight.toFixed(1)+');',
-			'const float u_patchHeight = '+(1/numBlocks).toFixed(10)+';',
-			'const float u_filterHeight = '+(1/numBlocks).toFixed(10)+';',
-			'const vec2 u_midpoint = vec2(0.5 ,'+(1/(numBlocks*2)).toFixed(10)+');',
-			'',
-			'varying vec2 v_texCoord;',
-			'varying vec2 v_texCoordFilters;',
-			'',
-			'void main() {',
-			'   // convert the rectangle from pixels to 0.0 to 1.0',
-			'   vec2 zeroToOne = a_position / u_resolution;',
-			'',
-			'   // convert from 0->1 to 0->2',
-			'   vec2 zeroToTwo = zeroToOne * 2.0;',
-			'',
-			'   // convert from 0->2 to -1->+1 (clipspace)',
-			'   vec2 clipSpace = zeroToTwo - 1.0;',
-			'   ',
-			'   // transform coordinates to regular coordinates',
-			'   gl_Position = vec4(clipSpace * vec2(1.0, 1.0), 0, 1);',
-			' ',
-			'   // pass the texCoord to the fragment shader',
-			'   v_texCoord = a_texCoord;',
-			'   ',
-			'   // set the filtertexture coordinate based on number filter to use',
-			'   v_texCoordFilters = u_midpoint + vec2(0.0, u_filterHeight * floor(a_texCoord[1]/u_patchHeight));',
-			'}'
-		].join('\n');
-
-		if ('lbp' in filters) {
-			// lbpResponseFragment
-			lbpResponseFS = [
-				'precision mediump float;',
-				'',
-				'uniform vec2 u_onePixelPatches;',
-				'',
-				'// our patches',
-				'uniform sampler2D u_patches;',
-				'',
-				'// the texCoords passed in from the vertex shader.',
-				'varying vec2 v_texCoord;',
-				'',
-				'void main() {',
-				'  vec4 topLeft = texture2D(u_patches, v_texCoord + vec2(-'+opp[0].toFixed(5)+', -'+opp[1].toFixed(5)+'));',
-				'  vec4 topMid = texture2D(u_patches, v_texCoord + vec2(0.0, -'+opp[1].toFixed(5)+'));',
-				'  vec4 topRight = texture2D(u_patches, v_texCoord + vec2('+opp[0].toFixed(5)+', -'+opp[1].toFixed(5)+'));',
-				'  vec4 midLeft = texture2D(u_patches, v_texCoord + vec2(-'+opp[0].toFixed(5)+', 0.0));',
-				'  vec4 midMid = texture2D(u_patches, v_texCoord);',
-				'  vec4 midRight = texture2D(u_patches, v_texCoord + vec2('+opp[0].toFixed(5)+', 0.0));',
-				'  vec4 bottomLeft = texture2D(u_patches, v_texCoord + vec2(-'+opp[0].toFixed(5)+', '+opp[1].toFixed(5)+'));',
-				'  vec4 bottomMid = texture2D(u_patches, v_texCoord + vec2(0.0, '+opp[1].toFixed(5)+'));',
-				'  vec4 bottomRight = texture2D(u_patches, v_texCoord + vec2('+opp[0].toFixed(5)+', '+opp[1].toFixed(5)+'));',
-				'  vec4 lbp = step(midMid, midRight)*1.0 + step(midMid, topRight)*2.0 + step(midMid, topMid)*4.0;',
-				'  lbp = lbp + step(midMid, topLeft)*8.0 + step(midMid, midLeft)*16.0 + step(midMid, bottomLeft)*32.0;',
-				'  lbp = lbp + step(midMid, bottomMid)*64.0 + step(midMid, bottomRight)*128.0;',
-				'  gl_FragColor = lbp;',
-				'}'
-			].join('\n');
-		}
-
-		if ('sobel' in filters) {
-			// gradResponseFragment
-			gradientResponseFS = [
-				'precision mediump float;',
-				'',
-				'uniform vec2 u_onePixelPatches;',
-				'',
-				'// our patches',
-				'uniform sampler2D u_patches;',
-				'',
-				'// the texCoords passed in from the vertex shader.',
-				'varying vec2 v_texCoord;',
-				'',
-				'void main() {',
-				'  vec4 bottomLeft = texture2D(u_patches, v_texCoord + vec2(-'+opp[0].toFixed(5)+', '+opp[1].toFixed(5)+'));',
-				'  vec4 bottomRight = texture2D(u_patches, v_texCoord + vec2('+opp[0].toFixed(5)+', '+opp[1].toFixed(5)+'));',
-				'  vec4 topLeft = texture2D(u_patches, v_texCoord + vec2(-'+opp[0].toFixed(5)+', -'+opp[1].toFixed(5)+'));',
-				'  vec4 topRight = texture2D(u_patches, v_texCoord + vec2('+opp[0].toFixed(5)+', -'+opp[1].toFixed(5)+'));',
-				'  vec4 dx = (',
-				'    bottomLeft +',
-				'    (texture2D(u_patches, v_texCoord + vec2(-'+opp[0].toFixed(5)+', 0.0))*vec4(2.0,2.0,2.0,2.0)) +',
-				'    topLeft -',
-				'    bottomRight -',
-				'    (texture2D(u_patches, v_texCoord + vec2('+opp[0].toFixed(5)+', 0.0))*vec4(2.0,2.0,2.0,2.0)) -',
-				'    topRight)/4.0;',
-				'  vec4 dy = (',
-				'    bottomLeft +',
-				'    (texture2D(u_patches, v_texCoord + vec2(0.0, '+opp[1].toFixed(5)+'))*vec4(2.0,2.0,2.0,2.0)) +',
-				'    bottomRight -',
-				'    topLeft -',
-				'    (texture2D(u_patches, v_texCoord + vec2(0.0, -'+opp[1].toFixed(5)+'))*vec4(2.0,2.0,2.0,2.0)) -',
-				'    topRight)/4.0;',
-				'  vec4 gradient = sqrt((dx*dx) + (dy*dy));',
-				'  gl_FragColor = gradient;',
-				'}'
-			].join('\n');
-		}
-
-		//create webglcanvas
-		canvas = document.createElement('canvas');
-		canvas.setAttribute('width', (patchWidth-filterWidth+1)+'px');
-		canvas.setAttribute('height', ((patchHeight-filterHeight+1)*numPatches)+'px');
-		canvas.setAttribute('id', 'renderCanvas');
-		canvas.setAttribute('style', 'display:none;');
-		//document.body.appendChild(canvas);
-		gl = webglUtils_1(canvas, {
-			premultipliedAlpha: false,
-			preserveDrawingBuffer : true,
-			antialias : false
-		});
-
-
-		// check for float textures support and fail if not
-		if (!gl.getExtension('OES_texture_float')) {
-			alert('Your graphics card does not support floating point textures! :(');
-			return;
-		}
-
-		/** insert filters into textures **/
-		if ('raw' in filters) {
-			insertFilter(filters['raw'], gl.TEXTURE0);
-			rawInit = true;
-		}
-		if ('sobel' in filters) {
-			insertFilter(filters['sobel'], gl.TEXTURE4);
-			sobelInit = true;
-		}
-		if ('lbp' in filters) {
-			insertFilter(filters['lbp'], gl.TEXTURE5);
-			lbpInit = true;
-		}
-
-		/** calculate vertices for calculating responses **/
-
-		// vertex rectangles to draw out
-		var rectangles = [];
-		var halfFilter = (filterWidth-1)/2;
-		var yOffset;
-		for (var i = 0;i < numBlocks;i++) {
-			yOffset = i*patchHeight;
-			//first triangle
-			rectangles = rectangles.concat([
-				halfFilter, yOffset+halfFilter,
-				patchWidth-halfFilter, yOffset+halfFilter,
-				halfFilter, yOffset+patchHeight-halfFilter
-			]);
-			//second triangle
-			rectangles = rectangles.concat([
-				halfFilter, yOffset+patchHeight-halfFilter,
-				patchWidth-halfFilter, yOffset+halfFilter,
-				patchWidth-halfFilter, yOffset+patchHeight-halfFilter
-			]);
-		}
-		rectangles = new Float32Array(rectangles);
-
-		// image rectangles to draw out
-		var irectangles = [];
-		for (var i = 0;i < rectangles.length;i++) {
-			if (i % 2 == 0) {
-				irectangles[i] = rectangles[i]/canvasWidth;
-			} else {
-				irectangles[i] = rectangles[i]/canvasHeight;
-			}
-		}
-		irectangles = new Float32Array(irectangles);
-
-		if ('lbp' in filters || 'sobel' in filters) {
-			var topCoord = 1.0 - 2/(patchHeight*numBlocks);
-			var bottomCoord = 1.0 - 2/numBlocks + 2/(patchHeight*numBlocks);
-			var yOffset;
-			// calculate position of vertex rectangles for gradient/lbp program
-			var gradRectangles = [];
-			for (var i = 0;i < numBlocks;i++) {
-				yOffset = i * (2/numBlocks);
-				//first triangle
-				gradRectangles = gradRectangles.concat([
-					-1.0, topCoord - yOffset,
-					1.0, topCoord - yOffset,
-					-1.0, bottomCoord - yOffset
-				]);
-				//second triangle
-				gradRectangles = gradRectangles.concat([
-					-1.0, bottomCoord - yOffset,
-					1.0, topCoord - yOffset,
-					1.0, bottomCoord - yOffset
-				]);
-			}
-			gradRectangles = new Float32Array(gradRectangles);
-
-			topCoord = 1.0 - 1/(patchHeight*numBlocks);
-			bottomCoord = 1.0 - 1/numBlocks + 1/(patchHeight*numBlocks);
-			// calculate position of image rectangles to draw out
-			var gradIRectangles = [];
-			for (var i = 0;i < numBlocks;i++) {
-				yOffset = i * (1/numBlocks);
-				//first triangle
-				gradIRectangles = gradIRectangles.concat([
-					0.0, topCoord - yOffset,
-					1.0, topCoord - yOffset,
-					0.0, bottomCoord - yOffset
-				]);
-				//second triangle
-				gradIRectangles = gradIRectangles.concat([
-					0.0, bottomCoord - yOffset,
-					1.0, topCoord - yOffset,
-					1.0, bottomCoord - yOffset
-				]);
-			}
-			gradIRectangles = new Float32Array(gradIRectangles);
-		}
-
-		// vertices for drawing out responses
-
-		// drawOutRectangles
-		drawOutRectangles = new Float32Array(12*numPatches);
-		var yOffset, indexOffset;
-		for (var i = 0;i < numPatches;i++) {
-			yOffset = i*newCanvasBlockHeight;
-			indexOffset = i*12;
-
-			//first triangle
-			drawOutRectangles[indexOffset] = 0.0;
-			drawOutRectangles[indexOffset+1] = yOffset;
-			drawOutRectangles[indexOffset+2] = newCanvasWidth;
-			drawOutRectangles[indexOffset+3] = yOffset;
-			drawOutRectangles[indexOffset+4] = 0.0;
-			drawOutRectangles[indexOffset+5] = yOffset+newCanvasBlockHeight;
-
-			//second triangle
-			drawOutRectangles[indexOffset+6] = 0.0;
-			drawOutRectangles[indexOffset+7] = yOffset+newCanvasBlockHeight;
-			drawOutRectangles[indexOffset+8] = newCanvasWidth;
-			drawOutRectangles[indexOffset+9] = yOffset;
-			drawOutRectangles[indexOffset+10] = newCanvasWidth;
-			drawOutRectangles[indexOffset+11] = yOffset+newCanvasBlockHeight;
-		}
-
-		// images
-		drawOutImages = new Float32Array(numPatches*12);
-		var halfFilterWidth = ((filterWidth-1)/2)/patchWidth;
-		var halfFilterHeight = ((filterWidth-1)/2)/(patchHeight*patchCells);
-		var patchHeightT = patchHeight / (patchHeight*patchCells);
-		for (var i = 0;i < numPatches;i++) {
-			yOffset = Math.floor(i / 4)*patchHeightT;
-			indexOffset = i*12;
-
-			//first triangle
-			drawOutImages[indexOffset] = halfFilterWidth;
-			drawOutImages[indexOffset+1] = yOffset+halfFilterHeight;
-			drawOutImages[indexOffset+2] = 1.0-halfFilterWidth;
-			drawOutImages[indexOffset+3] = yOffset+halfFilterHeight;
-			drawOutImages[indexOffset+4] = halfFilterWidth;
-			drawOutImages[indexOffset+5] = yOffset+patchHeightT-halfFilterHeight;
-
-			//second triangle
-			drawOutImages[indexOffset+6] = halfFilterWidth;
-			drawOutImages[indexOffset+7] = yOffset+patchHeightT-halfFilterHeight;
-			drawOutImages[indexOffset+8] = 1.0-halfFilterWidth;
-			drawOutImages[indexOffset+9] = yOffset+halfFilterHeight;
-			drawOutImages[indexOffset+10] = 1.0-halfFilterWidth;
-			drawOutImages[indexOffset+11] = yOffset+patchHeightT-halfFilterHeight;
-		}
-
-		// layer
-		drawOutLayer = new Float32Array(numPatches*6);
-		var layernum;
-		for (var i = 0;i < numPatches;i++) {
-			layernum = i % 4;
-			indexOffset = i*6;
-			drawOutLayer[indexOffset] = layernum;
-			drawOutLayer[indexOffset+1] = layernum;
-			drawOutLayer[indexOffset+2] = layernum;
-			drawOutLayer[indexOffset+3] = layernum;
-			drawOutLayer[indexOffset+4] = layernum;
-			drawOutLayer[indexOffset+5] = layernum;
-		}
-
-		/** set up programs and load attributes etc **/
-
-		if ('sobel' in filters) {
-			var grVertexShader = webglUtils_5(gl, gradientResponseVS, gl.VERTEX_SHADER);
-			var grFragmentShader = webglUtils_5(gl, gradientResponseFS, gl.FRAGMENT_SHADER);
-			gradientResponseProgram = webglUtils_2(gl, [grVertexShader, grFragmentShader]);
-			gl.useProgram(gradientResponseProgram);
-
-			// set up vertices with rectangles
-			gradPositionLocation = gl.getAttribLocation(gradientResponseProgram, 'a_position');
-			gradAPositionBuffer = gl.createBuffer();
-			gl.bindBuffer(gl.ARRAY_BUFFER, gradAPositionBuffer);
-			gl.bufferData(gl.ARRAY_BUFFER, gradRectangles, gl.STATIC_DRAW);
-			gl.enableVertexAttribArray(gradPositionLocation);
-			gl.vertexAttribPointer(gradPositionLocation, 2, gl.FLOAT, false, 0, 0);
-
-			// set up texture positions
-			gradTexCoordLocation = gl.getAttribLocation(gradientResponseProgram, 'a_texCoord');
-			gradTexCoordBuffer = gl.createBuffer();
-			gl.bindBuffer(gl.ARRAY_BUFFER, gradTexCoordBuffer);
-			gl.bufferData(gl.ARRAY_BUFFER, gradIRectangles, gl.STATIC_DRAW);
-			gl.enableVertexAttribArray(gradTexCoordLocation);
-			gl.vertexAttribPointer(gradTexCoordLocation, 2, gl.FLOAT, false, 0, 0);
-
-			// set up patches texture in gradientResponseProgram
-			gl.uniform1i(gl.getUniformLocation(gradientResponseProgram, 'u_patches'), 1);
-		}
-		if ('lbp' in filters) {
-			var lbpVertexShader = webglUtils_5(gl, lbpResponseVS, gl.VERTEX_SHADER);
-			var lbpFragmentShader = webglUtils_5(gl, lbpResponseFS, gl.FRAGMENT_SHADER);
-			lbpResponseProgram = webglUtils_2(gl, [lbpVertexShader, lbpFragmentShader]);
-			gl.useProgram(lbpResponseProgram);
-
-			// set up vertices with rectangles
-			lbpPositionLocation = gl.getAttribLocation(lbpResponseProgram, 'a_position');
-			lbpAPositionBuffer = gl.createBuffer();
-			gl.bindBuffer(gl.ARRAY_BUFFER, lbpAPositionBuffer);
-			gl.bufferData(gl.ARRAY_BUFFER, gradRectangles, gl.STATIC_DRAW);
-			gl.enableVertexAttribArray(lbpPositionLocation);
-			gl.vertexAttribPointer(lbpPositionLocation, 2, gl.FLOAT, false, 0, 0);
-
-			// set up texture positions
-			gradTexCoordLocation = gl.getAttribLocation(lbpResponseProgram, 'a_texCoord');
-			lbpTexCoordBuffer = gl.createBuffer();
-			gl.bindBuffer(gl.ARRAY_BUFFER, lbpTexCoordBuffer);
-			gl.bufferData(gl.ARRAY_BUFFER, gradIRectangles, gl.STATIC_DRAW);
-			gl.enableVertexAttribArray(lbpTexCoordLocation);
-			gl.vertexAttribPointer(lbpTexCoordLocation, 2, gl.FLOAT, false, 0, 0);
-
-			// set up patches texture in lbpResponseProgram
-			gl.uniform1i(gl.getUniformLocation(lbpResponseProgram, 'u_patches'), 1);
-		}
-
-		// setup patchdraw program
-		var drVertexShader = webglUtils_5(gl, drawResponsesVS, gl.VERTEX_SHADER);
-		var drFragmentShader = webglUtils_5(gl, drawResponsesFS, gl.FRAGMENT_SHADER);
-		patchDrawProgram = webglUtils_2(gl, [drVertexShader, drFragmentShader]);
-		gl.useProgram(patchDrawProgram);
-
-		// set the resolution/dimension of the canvas
-		var resolutionLocation = gl.getUniformLocation(patchDrawProgram, 'u_resolutiondraw');
-		gl.uniform2f(resolutionLocation, newCanvasWidth, newCanvasHeight);
-
-		// set u_responses
-		var responsesLocation = gl.getUniformLocation(patchDrawProgram, 'u_responses');
-		gl.uniform1i(responsesLocation, 2);
-
-		// setup patchresponse program
-		var prVertexShader = webglUtils_5(gl, patchResponseVS, gl.VERTEX_SHADER);
-		var prFragmentShader = webglUtils_5(gl, patchResponseFS, gl.FRAGMENT_SHADER);
-		patchResponseProgram = webglUtils_2(gl, [prVertexShader, prFragmentShader]);
-		gl.useProgram(patchResponseProgram);
-
-		// set up vertices with rectangles
-		var positionLocation = gl.getAttribLocation(patchResponseProgram, 'a_position');
-		apositionBuffer = gl.createBuffer();
-		gl.bindBuffer(gl.ARRAY_BUFFER, apositionBuffer);
-		gl.bufferData(gl.ARRAY_BUFFER, rectangles, gl.STATIC_DRAW);
-		gl.enableVertexAttribArray(positionLocation);
-		gl.vertexAttribPointer(positionLocation, 2, gl.FLOAT, false, 0, 0);
-
-		// set up texture positions
-		texCoordLocation = gl.getAttribLocation(patchResponseProgram, 'a_texCoord');
-		texCoordBuffer = gl.createBuffer();
-		gl.bindBuffer(gl.ARRAY_BUFFER, texCoordBuffer);
-		gl.bufferData(gl.ARRAY_BUFFER, irectangles, gl.STATIC_DRAW);
-		gl.enableVertexAttribArray(texCoordLocation);
-		gl.vertexAttribPointer(texCoordLocation, 2, gl.FLOAT, false, 0, 0);
-
-		if ('lbp' in filters || 'sobel' in filters) {
-			// set up gradient/lbp buffer (also used for lbp)
-			gl.activeTexture(gl.TEXTURE3);
-			var gradients = gl.createTexture();
-			gl.bindTexture(gl.TEXTURE_2D, gradients);
-			gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, patchWidth, patchHeight*numBlocks, 0, gl.RGBA, gl.FLOAT, null);
-			gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);
-			gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);
-			gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);
-			gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);
-
-			// set up gradient/lbp framebuffer
-			gbo = gl.createFramebuffer();
-			gl.bindFramebuffer(gl.FRAMEBUFFER, gbo);
-			gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, gradients, 0);
-		}
-
-		// set up buffer to draw to
-		gl.activeTexture(gl.TEXTURE2);
-		rttTexture = gl.createTexture();
-		gl.bindTexture(gl.TEXTURE_2D, rttTexture);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);
-		gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, patchWidth, patchHeight*numBlocks, 0, gl.RGBA, gl.FLOAT, null);
-
-		// set up response framebuffer
-		fbo = gl.createFramebuffer();
-		gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);
-		gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, rttTexture, 0);
-
-		gl.viewport(0, 0, patchWidth, patchHeight*numBlocks);
-
-		/* initialize some textures and buffers used later on */
-
-		patchTex = gl.createTexture();
-		drawRectBuffer = gl.createBuffer();
-		drawImageBuffer = gl.createBuffer();
-		drawLayerBuffer = gl.createBuffer();
-	};
-
-	this.getRawResponses = function(patches) {
-		// TODO: check patches correct length/dimension
-
-		insertPatches(patches);
-
-		// switch to correct program
-		gl.useProgram(patchResponseProgram);
-
-		// set u_patches to point to texture 1
-		gl.uniform1i(gl.getUniformLocation(patchResponseProgram, 'u_patches'), 1);
-
-		// set u_filters to point to correct filter
-		gl.uniform1i(gl.getUniformLocation(patchResponseProgram, 'u_filters'), 0);
-
-		// set up vertices with rectangles
-		var positionLocation = gl.getAttribLocation(patchResponseProgram, 'a_position');
-		gl.bindBuffer(gl.ARRAY_BUFFER, apositionBuffer);
-		gl.enableVertexAttribArray(positionLocation);
-		gl.vertexAttribPointer(positionLocation, 2, gl.FLOAT, false, 0, 0);
-
-		// set up texture positions
-		var texCoordLocation = gl.getAttribLocation(patchResponseProgram, 'a_texCoord');
-		gl.bindBuffer(gl.ARRAY_BUFFER, texCoordBuffer);
-		gl.enableVertexAttribArray(texCoordLocation);
-		gl.vertexAttribPointer(texCoordLocation, 2, gl.FLOAT, false, 0, 0);
-
-		// set framebuffer to the original one if not already using it
-		gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);
-
-		gl.viewport(0, 0, patchWidth, patchHeight*numBlocks);
-
-		gl.clearColor(0.0, 0.0, 0.0, 1.0);
-		gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER);
-
-		// draw to framebuffer
-		gl.drawArrays(gl.TRIANGLES, 0, patchCells*6);
-
-		//gl.finish();
-
-		var responses = drawOut('raw');
-
-		return responses;
-	};
-
-	this.getSobelResponses = function(patches) {
-		// check that it is initialized
-		if (!sobelInit) return;
-
-		insertPatches(patches);
-
-		/* do sobel filter on patches */
-
-		// switch to correct program
-		gl.useProgram(gradientResponseProgram);
-
-		// set up vertices with rectangles
-		var gradPositionLocation = gl.getAttribLocation(gradientResponseProgram, 'a_position');
-		gl.bindBuffer(gl.ARRAY_BUFFER, gradAPositionBuffer);
-		gl.enableVertexAttribArray(gradPositionLocation);
-		gl.vertexAttribPointer(gradPositionLocation, 2, gl.FLOAT, false, 0, 0);
-
-		// set up texture positions
-		var gradTexCoordLocation = gl.getAttribLocation(gradientResponseProgram, 'a_texCoord');
-		gl.bindBuffer(gl.ARRAY_BUFFER, gradTexCoordBuffer);
-		gl.enableVertexAttribArray(gradTexCoordLocation);
-		gl.vertexAttribPointer(gradTexCoordLocation, 2, gl.FLOAT, false, 0, 0);
-
-		// set framebuffer to the original one if not already using it
-		gl.bindFramebuffer(gl.FRAMEBUFFER, gbo);
-
-		gl.viewport(0, 0, patchWidth, patchHeight*numBlocks);
-
-		gl.clearColor(0.0, 0.0, 0.0, 1.0);
-		gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER);
-
-		// draw to framebuffer
-		gl.drawArrays(gl.TRIANGLES, 0, patchCells*6);
-
-		/* calculate responses */
-
-		gl.useProgram(patchResponseProgram);
-
-		// set patches and filters to point to correct textures
-		gl.uniform1i(gl.getUniformLocation(patchResponseProgram, 'u_filters'), 4);
-		gl.uniform1i(gl.getUniformLocation(patchResponseProgram, 'u_patches'), 3);
-
-		var positionLocation = gl.getAttribLocation(patchResponseProgram, 'a_position');
-		gl.bindBuffer(gl.ARRAY_BUFFER, apositionBuffer);
-		gl.enableVertexAttribArray(positionLocation);
-		gl.vertexAttribPointer(positionLocation, 2, gl.FLOAT, false, 0, 0);
-
-		// set up texture positions
-		var texCoordLocation = gl.getAttribLocation(patchResponseProgram, 'a_texCoord');
-		gl.bindBuffer(gl.ARRAY_BUFFER, texCoordBuffer);
-		gl.enableVertexAttribArray(texCoordLocation);
-		gl.vertexAttribPointer(texCoordLocation, 2, gl.FLOAT, false, 0, 0);
-
-		gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);
-		gl.viewport(0, 0, patchWidth, patchHeight*numBlocks);
-
-		gl.clearColor(0.0, 0.0, 0.0, 1.0);
-		gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER);
-
-		// draw to framebuffer
-		gl.drawArrays(gl.TRIANGLES, 0, patchCells*6);
-
-		/* get the responses */
-
-		var responses = drawOut('sobel');
-
-		return responses;
-	};
-
-	this.getLBPResponses = function(patches) {
-		// check that it is initialized
-		if (!lbpInit) return;
-
-		insertPatches(patches);
-
-		/* do sobel filter on patches */
-
-		// switch to correct program
-		gl.useProgram(lbpResponseProgram);
-
-		// set up vertices with rectangles
-		var lbpPositionLocation = gl.getAttribLocation(lbpResponseProgram, 'a_position');
-		gl.bindBuffer(gl.ARRAY_BUFFER, lbpAPositionBuffer);
-		gl.enableVertexAttribArray(lbpPositionLocation);
-		gl.vertexAttribPointer(lbpPositionLocation, 2, gl.FLOAT, false, 0, 0);
-
-		// set up texture positions
-		var lbpTexCoordLocation = gl.getAttribLocation(lbpResponseProgram, 'a_texCoord');
-		gl.bindBuffer(gl.ARRAY_BUFFER, lbpTexCoordBuffer);
-		gl.enableVertexAttribArray(lbpTexCoordLocation);
-		gl.vertexAttribPointer(lbpTexCoordLocation, 2, gl.FLOAT, false, 0, 0);
-
-		// set framebuffer to the original one if not already using it
-		gl.bindFramebuffer(gl.FRAMEBUFFER, gbo);
-
-		gl.viewport(0, 0, patchWidth, patchHeight*numBlocks);
-
-		gl.clearColor(0.0, 0.0, 0.0, 1.0);
-		gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER);
-
-		// draw to framebuffer
-		gl.drawArrays(gl.TRIANGLES, 0, patchCells*6);
-
-		/* calculate responses */
-
-		gl.useProgram(patchResponseProgram);
-
-		gl.uniform1i(gl.getUniformLocation(patchResponseProgram, 'u_filters'), 5);
-		gl.uniform1i(gl.getUniformLocation(patchResponseProgram, 'u_patches'), 3);
-
-		var positionLocation = gl.getAttribLocation(patchResponseProgram, 'a_position');
-		gl.bindBuffer(gl.ARRAY_BUFFER, apositionBuffer);
-		gl.enableVertexAttribArray(positionLocation);
-		gl.vertexAttribPointer(positionLocation, 2, gl.FLOAT, false, 0, 0);
-
-		// set up texture positions
-		var texCoordLocation = gl.getAttribLocation(patchResponseProgram, 'a_texCoord');
-		gl.bindBuffer(gl.ARRAY_BUFFER, texCoordBuffer);
-		gl.enableVertexAttribArray(texCoordLocation);
-		gl.vertexAttribPointer(texCoordLocation, 2, gl.FLOAT, false, 0, 0);
-
-		gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);
-		gl.viewport(0, 0, patchWidth, patchHeight*numBlocks);
-
-		gl.clearColor(0.0, 0.0, 0.0, 1.0);
-		gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER);
-
-		// draw to framebuffer
-		gl.drawArrays(gl.TRIANGLES, 0, patchCells*6);
-
-		/* get the responses */
-
-		var responses = drawOut('lbp');
-
-		return responses;
-	};
-
-	var insertPatches = function(patches) {
-		// pass patches into texture, each patch in either r, g, b or a
-		var patchArrayIndex = 0;
-		var patchesIndex1 = 0;
-		var patchesIndex2 = 0;
-		for (var i = 0;i < patchCells;i++) {
-			for (var j = 0;j < patchHeight;j++) {
-				for (var k = 0;k < patchWidth;k++) {
-					patchesIndex1 = i*4;
-					patchesIndex2 = (j*patchWidth) + k;
-					patchArrayIndex = ((patchSize*i) + patchesIndex2)*4;
-
-					//set r with first patch
-					if (patchesIndex1 < numPatches) {
-						patchArray[patchArrayIndex] = patches[patchesIndex1][patchesIndex2];
-					} else {
-						patchArray[patchArrayIndex] = 0;
-					}
-					//set g with 2nd patch
-					if (patchesIndex1+1 < numPatches) {
-						patchArray[patchArrayIndex + 1] = patches[patchesIndex1+1][patchesIndex2];
-					} else {
-						patchArray[patchArrayIndex + 1] = 0;
-					}
-					//set b with 3rd patch
-					if (patchesIndex1+2 < numPatches) {
-						patchArray[patchArrayIndex + 2] = patches[patchesIndex1+2][patchesIndex2];
-					} else {
-						patchArray[patchArrayIndex + 2] = 0;
-					}
-					//set a with 4th patch
-					if (patchesIndex1+3 < numPatches) {
-						patchArray[patchArrayIndex + 3] = patches[patchesIndex1+3][patchesIndex2];
-					} else {
-						patchArray[patchArrayIndex + 3] = 0;
-					}
-				}
-			}
-		}
-
-		// pass texture into an uniform
-		gl.activeTexture(gl.TEXTURE1);
-		gl.bindTexture(gl.TEXTURE_2D, patchTex);
-		gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, textureWidth, textureHeight, 0, gl.RGBA, gl.FLOAT, patchArray);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);
-	};
-
-	var insertFilter = function(filter, textureNum) {
-		var filterSize = filterWidth*filterHeight;
-		var filterArray = new Float32Array(filterSize*(numBlocks)*4);
-		for (var i = 0;i < numBlocks;i++) {
-			for (var j = 0;j < filterHeight;j++) {
-				for (var k = 0;k < filterWidth;k++) {
-					//set r with first filter
-					if (i*4 < filter.length) {
-						filterArray[((filterSize*i) + (j*filterWidth) + k)*4] = filter[i*4][(j*filterWidth) + k];
-					} else {
-						filterArray[((filterSize*i) + (j*filterWidth) + k)*4] = 0;
-					}
-					//set g with 2nd filter
-					if ((i*4 + 1) < filter.length) {
-						filterArray[((filterSize*i) + (j*filterWidth) + k)*4 + 1] = filter[(i*4)+1][(j*filterWidth) + k];
-					} else {
-						filterArray[((filterSize*i) + (j*filterWidth) + k)*4 + 1] = 0;
-					}
-					//set b with 3rd filter
-					if ((i*4 + 2) < filter.length) {
-						filterArray[((filterSize*i) + (j*filterWidth) + k)*4 + 2] = filter[(i*4)+2][(j*filterWidth) + k];
-					} else {
-						filterArray[((filterSize*i) + (j*filterWidth) + k)*4 + 2] = 0;
-					}
-					//set a with 4th filter
-					if ((i*4 + 3) < filter.length) {
-						filterArray[((filterSize*i) + (j*filterWidth) + k)*4 + 3] = filter[(i*4)+3][(j*filterWidth) + k];
-					} else {
-						filterArray[((filterSize*i) + (j*filterWidth) + k)*4 + 3] = 0;
-					}
-				}
-			}
-		}
-
-		gl.activeTexture(textureNum);
-		var filterTexture = gl.createTexture();
-		gl.bindTexture(gl.TEXTURE_2D, filterTexture);
-		gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, filterWidth, filterHeight*numBlocks, 0, gl.RGBA, gl.FLOAT, filterArray);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);
-		gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);
-	};
-
-	var drawOut = function(type) {
-		// switch programs
-		gl.useProgram(patchDrawProgram);
-
-		// bind canvas buffer
-		gl.bindFramebuffer(gl.FRAMEBUFFER, null);
-		gl.viewport(0, 0, newCanvasWidth, newCanvasHeight);
-
-		gl.clearColor(0.0, 0.0, 0.0, 1.0);
-		gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER);
-
-		gl.bindBuffer(gl.ARRAY_BUFFER, drawRectBuffer);
-		gl.bufferData(
-			gl.ARRAY_BUFFER,
-			drawOutRectangles,
-			gl.STATIC_DRAW);
-		var positionLocation = gl.getAttribLocation(patchDrawProgram, 'a_position_draw');
-		gl.enableVertexAttribArray(positionLocation);
-		gl.vertexAttribPointer(positionLocation, 2, gl.FLOAT, false, 0, 0);
-
-		gl.bindBuffer(gl.ARRAY_BUFFER, drawImageBuffer);
-		gl.bufferData(
-			gl.ARRAY_BUFFER,
-			drawOutImages,
-			gl.STATIC_DRAW);
-		var textureLocation = gl.getAttribLocation(patchDrawProgram, 'a_texCoord_draw');
-		gl.enableVertexAttribArray(textureLocation);
-		gl.vertexAttribPointer(textureLocation, 2, gl.FLOAT, false, 0, 0);
-
-		gl.bindBuffer(gl.ARRAY_BUFFER, drawLayerBuffer);
-		gl.bufferData(
-			gl.ARRAY_BUFFER,
-			drawOutLayer,
-			gl.STATIC_DRAW);
-		var layerLocation = gl.getAttribLocation(patchDrawProgram, 'a_patchChoice_draw');
-		gl.enableVertexAttribArray(layerLocation);
-		gl.vertexAttribPointer(layerLocation, 1, gl.FLOAT, false, 0, 0);
-
-		// draw out
-		gl.drawArrays(gl.TRIANGLES, 0, numPatches*6);
-
-		var responses = getOutput();
-		responses = unpackToFloat(responses);
-		responses = splitArray(responses, numPatches);
-		responses = addBias(responses, biases[type]);
-
-		// normalize responses to lie within [0,1]
-		var rl = responses.length;
-		for (var i = 0;i < rl;i++) {
-			responses[i] = normalizeFilterMatrix(responses[i]);
-		}
-
-		return responses;
-	};
-
-	var addBias = function(responses, bias) {
-		// do a little trick to add bias in the logit function
-		var biasMult;
-		for (var i = 0;i < responses.length;i++) {
-			biasMult = Math.exp(bias[i]);
-			for (var j = 0;j < responses[i].length;j++) {
-				responses[i][j] = 1/(1+((1-responses[i][j])/(responses[i][j]*biasMult)));
-			}
-		}
-		return responses;
-	};
-
-	var splitArray = function(array, parts) {
-		var sp = [];
-		var al = array.length;
-		var splitlength = al/parts;
-		var ta = [];
-		for (var i = 0;i < al;i++) {
-			if (i % splitlength == 0) {
-				if (i != 0) {
-					sp.push(ta);
-				}
-				ta = [];
-			}
-			ta.push(array[i]);
-		}
-		sp.push(ta);
-		return sp;
-	};
-
-	var getOutput = function() {
-		// get data
-		var pixelValues = new Uint8Array(4*canvas.width*canvas.height);
-		gl.readPixels(0, 0, canvas.width, canvas.height, gl.RGBA, gl.UNSIGNED_BYTE, pixelValues);
-		return pixelValues;
-	};
-
-	var unpackToFloat = function(array) {
-		// convert packed floats to proper floats : see http://stackoverflow.com/questions/9882716/packing-float-into-vec4-how-does-this-code-work
-		var newArray = [];
-		var al = array.length;
-		for (var i = 0;i < al;i+=4) {
-			newArray[(i / 4) >> 0] = ((array[i]/(256*256*256*256))+(array[i+1]/(256*256*256))+(array[i+2]/(256*256))+(array[i+3]/256));
-		}
-		return newArray;
-	};
-
-	var normalizeFilterMatrix = function(response) {
-		// normalize responses to lie within [0,1]
-		var msize = response.length;
-		var max = 0;
-		var min = 1;
-
-		for (var i = 0;i < msize;i++) {
-			max = response[i] > max ? response[i] : max;
-			min = response[i] < min ? response[i] : min;
-		}
-		var dist = max-min;
-
-		if (dist == 0) {
-			//console.log('a patchresponse was monotone, causing normalization to fail. Leaving it unchanged.');
-			response = response.map(function() {return 1});
-		} else {
-			for (var i = 0;i < msize;i++) {
-				response[i] = (response[i]-min)/dist;
-			}
-		}
-
-		return response;
-	};
-};
-
-var mosseFilterResponses = function() {
-
-	var filters = [];
-	var responses = [];
-	var num_Patches = 0;
-
-	this.init = function(filter_input, numPatches, filterWidth, filterHeight) {
-		// load filters, make fft ready
-
-		for (var i = 0;i < numPatches;i++) {
-			var temp = {};
-			temp.width = filterWidth;
-			temp.height = filterHeight;
-			var filterLength = filterWidth*filterHeight;
-			var flar_fi0 = new Float64Array(filterLength);
-			var flar_fi1 = new Float64Array(filterLength);
-			for (var j = 0;j < filterLength;j++) {
-				flar_fi0[j] = filter_input[i][0][j];
-				flar_fi1[j] = filter_input[i][1][j];
-			}
-			temp.real = flar_fi0;
-			temp.imag = flar_fi1;
-			filters[i] = new mosse.mosseFilter();
-			filters[i].load(temp);
-		}
-
-		num_Patches = numPatches;
-	};
-
-	this.getResponses = function(patches) {
-		for (var i = 0;i < num_Patches;i++) {
-			responses[i] = filters[i].getResponse(patches[i]);
-			//responses[i] = logisticResponse(responses[i]);
-			responses[i] = normalizeFilterMatrix(responses[i]);
-		}
-
-		return responses;
-	};
-
-	var logisticResponse = function(response) {
-		// create probability by doing logistic transformation
-		var filter_size = response.length;
-		for (var j = 0;j < filter_size;j++) {
-			response[j] = 1.0/(1.0 + Math.exp(- (response[j]-1.0) ));
-		}
-		return response;
-	};
-
-	var normalizeFilterMatrix = function(response) {
-		// normalize responses to lie within [0,1]
-		var msize = response.length;
-		var max = 0;
-		var min = 1;
-
-		for (var i = 0;i < msize;i++) {
-			max = response[i] > max ? response[i] : max;
-			min = response[i] < min ? response[i] : min;
-		}
-		var dist = max-min;
-
-		if (dist == 0) {
-			console.log('a patchresponse was monotone, causing normalization to fail. Leaving it unchanged.');
-			response = response.map(function() {return 1});
-		} else {
-			for (var i = 0;i < msize;i++) {
-				response[i] = (response[i]-min)/dist;
-			}
-		}
-
-		return response;
-	};
-};
-
-var model_pca_20_svm = createCommonjsModule(function (module, exports) {
-(function (global) {
-  'use strict';
-
-  var pModel = {
-    "scoring": {
-      "size": [20, 22],
-      "bias": -1.3970965781063711,
-      "coef": [-0.019443206312618266, -0.0084626551369373984, -0.0056439963412376806, -0.0030632716896851417, 0.0050581938798613096, 0.0038671999692946632, 0.0073781421893252819, 0.008408844556368901, 0.0021079916674897471, 0.0088021517989660455, 0.0084634202851292546, 0.0091341881048755593, 0.0021677708519095705, 0.0057905826022958259, 0.010027042924308791, 0.010018015835686447, 0.011074574130386098, -0.00061695783617744283, -0.0060840083569450205, -0.0094487678808903661, -0.012441209862965338, -0.0038650406223106025, -0.00031049888008515014, 0.003187872856386012, 0.0078183021180926356, 0.010960251877128001, 0.012100913210202307, 0.012289318801648701, 0.012872315936395949, 0.0134197639066574, 0.012863004278393353, 0.012570470005854794, 0.0144288424245574, 0.013339430524005279, 0.013248442014867023, 0.012998181709015256, 0.0080561986303109411, 0.0014670228332206666, -0.011928206846124195, -0.0097909276659884133, -0.019951337591485003, -0.014601516863452837, -0.013174779761633797, -0.0060514903696567476, -0.0010407140556988824, 0.0054650997555345483, 0.010448591237341475, 0.014061216421035866, 0.015918382919452134, 0.016360925963435087, 0.02175676516818845, 0.017301016139781272, 0.014195207612699818, 0.012452400847919372, 0.010454129710215853, 0.0040883019269826832, -0.0014194361456059026, -0.0038498599142176948, -0.010769873280441659, -0.011758097810167857, -0.0046927302624985654, -0.0022134112349382041, -0.0039804434067522172, -0.012186682535867691, -0.011886732829841436, -0.008198434083715244, 0.0028353930104073055, 0.0070820189528775831, 0.012238372017639833, 0.016348014515026394, 0.020980251210150468, 0.01731275318263429, 0.01186526524722499, 0.007237133559106634, 0.0028787582373227981, -0.007467321804467685, -0.012293394385884527, -0.014833951237083715, -0.0083886394867411403, -0.001277206299448029, -0.0043237762267366413, -0.00079995554890789644, -0.0090446939377834615, -0.015715154398522533, -0.016374353020164909, -0.018048467332774626, -0.012034275948581882, -0.0072430439975880896, 0.00051252407841081971, 0.013091943912572559, 0.018570409085074381, 0.013098815816852492, 0.0008591564011330168, -0.0064555113363009954, -0.014574145037132261, -0.018221531408352937, -0.01805986873321162, -0.016665959992610131, -0.016742981997331947, -0.012862200876738698, -0.037408776782215991, -0.026830315322269691, -0.036692867895355551, -0.034788073944897399, -0.021885031967903899, -0.024484660949111742, -0.028068870569776663, -0.018631752402912666, 0.00033862502266578511, 0.01559117928255003, 0.021178968053305464, 0.015184030917486158, 0.002942909802540911, -0.014374637994945122, -0.025568052116952664, -0.025717989966112242, -0.023218559873459776, -0.043064179414035626, -0.042244667490572319, -0.040560989397592062, -0.029282249261991376, -0.037097180414959283, -0.050209371445049687, -0.043175446636272506, -0.038799263945784764, -0.037913350312177137, -0.024596940746816367, -0.013391546719824746, 0.0026176056292311106, 0.0161600431397954, 0.021950494557360537, 0.018824694902420232, 0.006927363884398058, -0.0067099747768306958, -0.018258612142465137, -0.031150030943545643, -0.030987027023796063, -0.033628054995754796, -0.043437053800875543, -0.034534827602693656, -0.0027688241949539527, -0.0045492751804971556, -0.0029637241504820444, -0.0034067004234806259, -0.0058158675916083176, -0.0050003474884839725, -0.0052189027673953392, -0.0035094302696121191, 0.0048075866050476977, 0.015230282965296896, 0.017877023790346995, 0.015060123226282708, 0.0068301148455019063, -0.00074735425779775112, -0.0047129224250249081, -0.0020172475601060438, -0.0028733715759857248, -3.2165259563759688e-05, 0.0052576318460990619, 0.0043528918718454875, 0.016945619656148794, 0.015930900625567117, 0.013751773645422991, 0.010130474427749569, 0.0080480898297084717, 0.0066539674397816983, 0.0068324700348844428, 0.0069577044114707276, 0.0040399129489101342, 0.011715241103133139, 0.017439724961211336, 0.014273924944517397, 0.0061485975492234337, 0.0064501329867605404, 0.0064154824267410098, 0.0087972617488658849, 0.0085371084737999835, 0.0087282112830335563, 0.011782866421798245, 0.016746943082334282, 0.022118218282678175, 0.020835875059091086, 0.018311801034637344, 0.01589801188949137, 0.017833422960512931, 0.01556573659143182, 0.014048773907766661, 0.0092415766206588174, 0.008151842723012729, 0.011230814598071655, 0.01256801671117759, 0.012111623945116202, 0.0098381741274288295, 0.0073611628026903006, 0.0095541157333664112, 0.011727533965135649, 0.018125902932239795, 0.019469248207063541, 0.017398513191690286, 0.021144199041044975, 0.021132145666912093, 0.019499184169656004, 0.019592876054570843, 0.02028149781228069, 0.017450605090846959, 0.01415914728419608, 0.0062290511445100638, 0.0038367364618697264, 0.0070206311493656928, 0.0096561161467108754, 0.011406409148288063, 0.0073273774756050288, 0.0046725824974188255, 0.0052535602992445293, 0.00018758422847375771, 0.0081523629612461953, 0.012760089024104778, 0.021600004613459223, 0.02330330354276354, 0.023745752734397885, 0.018230549428489853, 0.020013388637927079, 0.019842171101705101, 0.018799688221643948, 0.010638029835974899, 0.00047497591850582786, -0.0071779359181283857, -0.0013492660142831474, 0.0015382005340972228, 0.0026091901041104195, 0.00054046824549715592, -0.00049664221846118756, -0.0004620349686195485, -0.0052440228766081143, -0.0052152354482096451, -0.010002649985436339, 0.0014386382744505852, 0.012845063185194877, 0.020827676960957435, 0.02373841052172394, 0.015716685713465389, 0.01638066669873605, 0.014902611437895159, 0.0073730357797861029, 0.0019356373041797752, -0.0061999712321189927, -0.0091165414771389678, -0.008810991502401562, -0.014849548271736901, -0.002088752298238026, 0.0052140970488441726, 0.0010527273675475608, -0.010321625138183299, -0.016207678046552692, -0.012439252596672909, -0.013087206027715756, -0.0027969969285832111, 0.0023632017053047227, 0.011157492323637063, 0.018368837091378775, 0.009522424063657664, 0.010552085697652452, 0.0065611074700353111, -0.0015314856230301123, -0.0032492038209889869, -0.0031329857351426339, -0.0009277374824954263, -0.0020968871213430215, -0.002752601764726735, 0.00094388371290420677, 5.9164336949845309e-05, -0.0017254679888374039, -0.0034420772687673035, -0.0045773609585904318, -0.0025304599008137956, -0.00038215561598060812, 0.00057078584536244593, 0.0031325966195568239, 0.0060237831417333659, 0.01158476991744758, 0.0016262584963572593, 0.0032288122743198387, 0.0012532877511827127, 0.00062747794288786391, 0.0023766730707680218, 0.0028182202873619686, 0.0023771129569157626, -0.0033402786707182365, -0.0048954226369167918, 0.0030746977489523515, 0.0062648590670420657, 0.0050231159304044643, 0.00044657525636142406, -0.0048270904988737106, -0.0040237200076292511, 0.0024988183457590458, 0.0054580394659512529, 0.0072880311920233637, 0.0036009634090189563, 0.010569246292394684, -0.0045836905885612515, 0.00057936439982262571, 0.00102991877614139, 0.0030014799750564766, 0.0036675159287522449, 0.0044718005821969111, 0.0068927421100514214, 0.0039124352937196984, 0.007139428500837236, 0.010304447674314087, 0.012609007891982103, 0.008958913992549505, 0.0086037912511740151, 0.0055408494888294774, 0.0046721790312300258, 0.0047921200350865495, 0.0058818201004558757, 0.0056047225724042979, 0.0054112450019911731, 0.0073264985149536482, -0.0027341865318231302, -0.0027247005346668829, -0.0034900498414649531, -0.0079957154687285564, -0.0040761105067111218, -0.0020778048501128819, -0.0028478822594267903, -0.0039662744056797195, -0.0026161203530461301, 0.00092611267411275692, 0.0017426886986748021, 0.00055187058776232881, -0.0013723391980049371, -0.0045995868862228262, -0.004201475995629732, -0.0054721778518871953, -0.002341678055566526, -0.0025440841811939178, -0.0078777546807155367, 5.340267621167532e-05, 0.0046873465713941241, 0.0021887942815206605, 0.0013036188253628853, -0.001369820467079858, -0.015804998363084376, -0.016267691007421516, -0.018900936626522147, -0.017659450320792951, -0.011812605534381678, -0.0034436129735933847, -0.0023483321715621502, -0.0050111463464252073, -0.0050922386240516513, -0.015030789874247219, -0.020198024497642013, -0.021620507739756673, -0.018586140603325793, -0.018723839025246693, -0.0055722698499209482, 0.0064480458300502788, 0.0026822651632485931, 0.0060010017569890623, 0.0039986244661379938, 0.0050813259426419084, -0.0059114072323689293, -0.027745788024718613, -0.029251292823436387, -0.023066523347947315, -0.017210413752997977, -0.015963112589643183, -0.021075188283476324, -0.023666705491108494, -0.020005598090990763, -0.019062969033403668, -0.017792117192348619, -0.025322677372927888, -0.020971240352056199, -0.003436645553932082, 0.0043350896839554273, 0.0084557183627534376, -0.0063213373221792614, -0.0012841346959162978, -0.0012350140140767124, 0.004020967306281667, 0.0092274867614143326, 0.0045264965008091395, 0.0041315898134410677, 0.00077108445452623935, 0.0017580819918377949, -0.0011577021001876594, -0.0036195352433658614, -0.0037319908665914719, -0.001666179302724247, 0.0031110879435167255, 0.0014906582671670387, 0.0048443015054418677, 0.0059990829294203933, 0.0084750979219295353, 0.0055827168912293912, 0.0025145315352065756, -0.0046319230006191276, -0.0076182514283882324, -0.0046593775053102001, -0.0031253513278243637, 0.0074653367528114828, 0.010125926733440484, 0.0094747053616804754, 0.0035657571954442512, 0.0057833695060832482, 0.003888133034710705, 0.0019960148005530504, 0.0015056031401225207, 0.0011132050024144288, 0.0054876547928768482, 0.0047365733649033419, 0.0072106350627162141, 0.010077746417547511, 0.0038570243972044947, -0.003118757327733293, 8.694979275512165e-05, -0.021441387266543339, -0.0072102976069877674, -0.0078359058223554552, -0.00594066743311885, -0.0016100298225058601, 0.0053450064816458259, 0.0071049496578081076, 0.010196875445129471, 0.0057577873293374569, 0.0074570800047582559, 0.0062731053175082022, 0.0076242083673520502, 0.0068436930933054993, 0.0070021422399430639, 0.0087250840640590785, 0.0089995789681808595, 0.0034314447644411355, -0.001989159567628072, -0.007896602411841893, -0.010924672368545567]
-    },
-    "path": {
-      "normal": [
-        [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14],
-        [15, 16, 17, 18],
-        [19, 20, 21, 22],
-        [23, 63, 24, 64, 25, 65, 26, 66, 23],
-        [28, 67, 29, 68, 30, 69, 31, 70, 28],
-        [34, 35, 36, 42, 37, 43, 38, 39, 40],
-        [33, 41, 62],
-        [44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 44, 56, 57, 58, 50, 59, 60, 61, 44],
-        27, 32
-      ],
-      "vertices": [
-        // jawline
-        [0,1,23,0],
-        [1,23,66,1],
-        [1,2,66,1],
-        [2,66,26,2],
-        [2,26,35,2],
-        [2,35,36,2],
-        [2,36,3,2],
-        [36,44,45,36],
-        [3,4,44,3],
-        [3,44,36,3],
-        [4,44,55,4],
-        [4,5,55,4],
-        [5,55,54,5],
-        [5,6,54,5],
-        [6,53,54,6],
-        [6,7,53,6],
-        [7,8,53,7],
-        [8,52,53,8],
-        [8,9,52,8],
-        [9,51,52,9],
-        [9,10,51,9],
-        [10,50,51,10],
-        [10,11,50,10],
-        [11,38,50,11],
-        [11,12,38,11],
-        [12,38,39,12],
-        [12,31,39,12],
-        [12,31,70,12],
-        [12,13,70,12],
-        [13,28,70,13],
-        [13,14,28,13],
-        // right eyebrow
-        [14,15,28,14],
-        [15,28,67,15],
-        [15,16,67,15],
-        [16,67,29,16],
-        [16,17,29,16],
-        [17,68,29,17],
-        [17,18,68,17],
-        [18,68,30,18],
-        [18,30,33,18],
-        // below eyes
-        [30,40,69,30],
-        [39,40,69,39],
-        [39,31,69,39],
-        [26,65,35,26],
-        [34,35,65,34],
-        [25,34,65,25],
-        // left eyebrow
-        [22,25,33,22],
-        [22,25,64,22],
-        [21,22,64,21],
-        [21,24,64,21],
-        [20,21,24,20],
-        [20,24,63,20],
-        [19,20,63,19],
-        [19,23,63,19],
-        [19,23,0,19],
-        // below nose
-        [36,45,46,36],
-        [36,42,46,36],
-        [42,37,46,42],
-        [37,46,47,37],
-        [46,37,47,46],
-        [37,47,48,37],
-        [38,48,49,38],
-        [37,43,48,37],
-        [43,38,48,43],
-        [38,49,50,38],
-        // nose region
-        [22,18,33,22],
-        [40,41,30,40],
-        [25,33,41,25],
-        [33,41,30,33],
-        [25,34,41,25],
-        [41,40,62,41],
-        [34,41,62,34],
-        [34,35,62,34],
-        [35,36,62,35],
-        [36,42,62,36],
-        [42,37,62,42],
-        [37,43,62,37],
-        [43,38,62,43],
-        [38,39,62,38],
-        [39,40,62,39],
-        // mouth
-        [44,45,61,44],
-        [45,46,61,45],
-        [46,47,61,46],
-        [47,61,60,47],
-        [47,59,60,47],
-        [47,48,59,47],
-        [48,49,59,48],
-        [49,50,59,49],
-        [50,51,58,50],
-        [51,52,58,51],
-        [52,57,58,52],
-        [52,53,57,52],
-        [53,54,57,53],
-        [54,56,57,54],
-        [54,55,56,54],
-        [44,55,56,44],
-        // left eye
-        [23,63,27,23],
-        [63,24,27,63],
-        [24,64,27,24],
-        [64,25,27,64],
-        [25,65,27,25],
-        [65,26,27,65],
-        [26,66,27,26],
-        [66,23,27,66],
-        // right eye
-        [28,67,32,28],
-        [67,29,32,67],
-        [29,68,32,29],
-        [68,30,32,68],
-        [30,69,32,30],
-        [69,31,32,69],
-        [31,70,32,31],
-        [28,32,70,28]
-      ]
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-    "patchModel": {
-      "patchType": "SVM",
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-        [61.942803190976235, 53.062775282622852],
-        [45.090870407180603, 66.45744111296608],
-        [49.30691311256561, 63.535961653371373],
-        [54.022310354591866, 62.360055474188812],
-        [57.235786373192525, 62.971861611246879],
-        [60.422680620195308, 62.233999883085119],
-        [65.180722218119797, 63.223326242164035],
-        [69.508528157121361, 65.976534203943174],
-        [66.692952911540658, 69.861040892668086],
-        [62.796902525468738, 72.430437387210816],
-        [57.438793685614598, 73.279393032509802],
-        [52.051412524023078, 72.642070314310331],
-        [48.057213957229465, 70.228072641153915],
-        [51.312826281003822, 68.334857344858165],
-        [57.355342381712035, 69.042220849614353],
-        [63.365320267430491, 68.097482913273097],
-        [63.302666508653772, 65.1057867536814],
-        [57.283082963456252, 65.373307571221233],
-        [51.257633954541575, 65.343014232008443],
-        [56.997384601005933, 50.86720524009678],
-        [38.345016967805378, 33.379866011204456],
-        [45.43217757469057, 33.213084051757619],
-        [45.102977179460538, 36.387811845290685],
-        [38.616928471611573, 36.562115185290565],
-        [74.946726694421386, 32.658993629837994],
-        [67.858495092410578, 32.771396681549788],
-        [68.312444531975871, 35.930700302534717],
-        [74.800326543573135, 35.849481471486683]
-      ]
-    },
-    "hints": {
-      "rightEye": [71.382163563407005, 34.031264828125074],
-      "leftEye": [41.960848751111143, 34.61071899652552],
-      "nose": [56.997384601005933, 50.86720524009678]
-    }
-  };
-
-  // CommonJS and Node.js module support
-  {
-    // Support Node.js specific `module.exports` (which can be a function)
-    if ('object' !== 'undefined' && module.exports) {
-      exports = module.exports = pModel;
-    }
-    // But always support CommonJS module 1.1.1 spec (`exports` cannot be a function)
-    exports.pModel = pModel;
-  }
-})(commonjsGlobal);
-});
-
-// webgl setup tests
-
-/*
- * Test whether we can render to floating point texture
- */
-var canRenderToFloatTexture = function(webGLContext) {
-    var renderingSupported = false;
-    var gl = webGLContext;
-
-    // setup the texture
-    var texture = gl.createTexture();
-    gl.bindTexture(gl.TEXTURE_2D, texture);
-    gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, 2, 2, 0, gl.RGBA, gl.FLOAT, null);
-    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);
-    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);
-
-    // setup the framebuffer
-    var framebuffer = gl.createFramebuffer();
-    gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer);
-    gl.framebufferTexture2D(
-        gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);
-
-    // check the framebuffer
-    var check = gl.checkFramebufferStatus(gl.FRAMEBUFFER);
-    if (check == gl.FRAMEBUFFER_COMPLETE) {
-        renderingSupported = true;
-    }
-
-    // cleanup
-    gl.deleteTexture(texture);
-    gl.deleteFramebuffer(framebuffer);
-    gl.bindTexture(gl.TEXTURE_2D, null);
-    gl.bindFramebuffer(gl.FRAMEBUFFER, null);
-
-    return renderingSupported
-};
-
-var version = "1.1.2";
-
-/**
- * clmtrackr library (https://www.github.com/auduno/clmtrackr/)
- *
- * Copyright (c) 2013, Audun Mathias Øygard
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
- */
-
-//import { drawPatches } from './utils.debugging.js';
-
-var DEFAULT_MODEL = model_pca_20_svm;
-
-// polyfills
-index.polyfill();
-if (!window.Promise) window.Promise = promise;
-
-var clm = {
-	tracker : function(params) {
-
-		if (!params) params = {};
-		if (params.constantVelocity === undefined) params.constantVelocity = true;
-		if (params.searchWindow === undefined) params.searchWindow = 11;
-		if (params.useWebGL === undefined) params.useWebGL = true;
-		if (params.scoreThreshold === undefined) params.scoreThreshold = 0.5;
-		if (params.stopOnConvergence === undefined) params.stopOnConvergence = false;
-		if (params.weightPoints === undefined) params.weightPoints = undefined;
-		if (params.sharpenResponse === undefined) params.sharpenResponse = false;
-		if (params.faceDetection === undefined) params.faceDetection = {};
-
-		/** @type {Number} Minimum convergence before firing `clmtrackrConverged` event. */
-		var convergenceThreshold = 0.5;
-
-		var numPatches, patchSize, numParameters, patchType;
-		var gaussianPD;
-		var eigenVectors, eigenValues;
-		var sketchCC, sketchW, sketchH, sketchCanvas;
-		var weights, model, biases;
-
-		var sobelInit = false;
-		var lbpInit = false;
-
-		var currentParameters = [];
-		var currentPositions = [];
-		var previousParameters = [];
-		var previousPositions = [];
-
-		var patches = [];
-		var responses = [];
-		var meanShape = [];
-
-		var responseMode = 'single';
-		var responseList = ['raw'];
-		var responseIndex = 0;
-
-		/*
-		It's possible to experiment with the sequence of variances used for the finding the maximum in the KDE.
-		This sequence is pretty arbitrary, but was found to be okay using some manual testing.
-		*/
-		var varianceSeq = [10,5,1];
-		//var varianceSeq = [3,1.5,0.75];
-		//var varianceSeq = [6,3,0.75];
-		var PDMVariance = 0.7;
-
-		var relaxation = 0.1;
-
-		var first = true;
-		var detectingFace = false;
-
-		var convergenceLimit = 0.01;
-
-		var searchWindow;
-		var modelWidth, modelHeight;
-		var halfSearchWindow, vecProbs, responsePixels;
-
-		if(typeof Float64Array !== 'undefined') {
-			var updatePosition = new Float64Array(2);
-			var vecpos = new Float64Array(2);
-		} else {
-			var updatePosition = new Array(2);
-			var vecpos = new Array(2);
-		}
-		var pw, pl, pdataLength;
-
-		var facecheck_count = 0;
-
-		var webglFi, svmFi, mosseCalc;
-
-		var scoringCanvas = document.createElement('canvas');
-		var scoringContext = scoringCanvas.getContext('2d');
-		var msxmin, msymin, msxmax, msymax;
-		var msmodelwidth, msmodelheight;
-		var scoringWeights, scoringBias;
-		var scoringHistory = [];
-		var meanscore = 0;
-
-		var runnerTimeout, runnerElement, runnerBox;
-
-		var pointWeights;
-
-		var halfPI = Math.PI/2;
-
-		var faceDetector;
-
-		/*
-		 *	load model data, initialize filters, etc.
-		 *
-		 *	@param	<Object>	pdm model object
-		 */
-		this.init = function(pdmmodel) {
-			// default model is pca 20 svm model
-			if (pdmmodel === undefined) pdmmodel = DEFAULT_MODEL;
-
-			model = pdmmodel;
-
-			// load from model
-			patchType = model.patchModel.patchType;
-			numPatches = model.patchModel.numPatches;
-			patchSize = model.patchModel.patchSize[0];
-			if (patchType == 'MOSSE') {
-				searchWindow = patchSize;
-			} else {
-				searchWindow = params.searchWindow;
-			}
-			numParameters = model.shapeModel.numEvalues;
-			modelWidth = model.patchModel.canvasSize[0];
-			modelHeight = model.patchModel.canvasSize[1];
-
-			// set up canvas to work on
-			sketchCanvas = document.createElement('canvas');
-			sketchCC = sketchCanvas.getContext('2d');
-
-			sketchW = sketchCanvas.width = modelWidth + (searchWindow-1) + patchSize-1;
-			sketchH = sketchCanvas.height = modelHeight + (searchWindow-1) + patchSize-1;
-
-			// load eigenvectors
-			eigenVectors = numeric1_2_6.rep([numPatches*2,numParameters],0.0);
-			for (var i = 0;i < numPatches*2;i++) {
-				for (var j = 0;j < numParameters;j++) {
-					eigenVectors[i][j] = model.shapeModel.eigenVectors[i][j];
-				}
-			}
-
-			// load mean shape
-			for (var i = 0; i < numPatches;i++) {
-				meanShape[i] = [model.shapeModel.meanShape[i][0], model.shapeModel.meanShape[i][1]];
-			}
-
-			// get max and mins, width and height of meanshape
-			msxmax = msymax = 0;
-			msxmin = msymin = 1000000;
-			for (var i = 0;i < numPatches;i++) {
-				if (meanShape[i][0] < msxmin) msxmin = meanShape[i][0];
-				if (meanShape[i][1] < msymin) msymin = meanShape[i][1];
-				if (meanShape[i][0] > msxmax) msxmax = meanShape[i][0];
-				if (meanShape[i][1] > msymax) msymax = meanShape[i][1];
-			}
-			msmodelwidth = msxmax-msxmin;
-			msmodelheight = msymax-msymin;
-
-			// get scoringweights if they exist
-			if (model.scoring) {
-				scoringWeights = new Float64Array(model.scoring.coef);
-				scoringBias = model.scoring.bias;
-				scoringCanvas.width = model.scoring.size[0];
-				scoringCanvas.height = model.scoring.size[1];
-			}
-
-			// load eigenvalues
-			eigenValues = model.shapeModel.eigenValues;
-
-			weights = model.patchModel.weights;
-			biases = model.patchModel.bias;
-
-			// precalculate gaussianPriorDiagonal
-			gaussianPD = numeric1_2_6.rep([numParameters+4, numParameters+4],0);
-			// set values and append manual inverse
-			for (var i = 0;i < numParameters;i++) {
-				if (model.shapeModel.nonRegularizedVectors.indexOf(i) >= 0) {
-					gaussianPD[i+4][i+4] = 1/10000000;
-				} else {
-					gaussianPD[i+4][i+4] = 1/eigenValues[i];
-				}
-			}
-
-			for (var i = 0;i < numParameters+4;i++) {
-				currentParameters[i] = 0;
-			}
-
-			if (patchType == 'SVM') {
-				var webGLContext;
-				var webGLTestCanvas = document.createElement('canvas');
-				if (window.WebGLRenderingContext) {
-					webGLContext = webGLTestCanvas.getContext('webgl') || webGLTestCanvas.getContext('experimental-webgl');
-					if (!webGLContext || !webGLContext.getExtension('OES_texture_float')) {
-						webGLContext = null;
-					} else {
-						// test whether it's possible to render to float texture
-						if (!canRenderToFloatTexture(webGLContext)) {
-							webGLContext = null;
-						}
-					}
-				}
-
-				if (webGLContext && params.useWebGL && (typeof(webglFilter) !== 'undefined')) {
-					webglFi = new webglFilter();
-					try {
-						webglFi.init(weights, biases, numPatches, searchWindow+patchSize-1, searchWindow+patchSize-1, patchSize, patchSize);
-						if ('lbp' in weights) lbpInit = true;
-						if ('sobel' in weights) sobelInit = true;
-					}
-					catch(err) {
-						console.error(err);
-						alert('There was a problem setting up webGL programs, falling back to slightly slower javascript version. :(');
-						webglFi = undefined;
-						svmFi = new svmFilter();
-						svmFi.init(weights['raw'], biases['raw'], numPatches, patchSize, searchWindow);
-					}
-				} else if (typeof(svmFilter) !== 'undefined') {
-					// use fft convolution if no webGL is available
-					svmFi = new svmFilter();
-					svmFi.init(weights['raw'], biases['raw'], numPatches, patchSize, searchWindow);
-				} else {
-					throw new Error('Could not initiate filters, please make sure that svmfilter.js or svmfilter_conv_js.js is loaded.');
-				}
-			} else if (patchType == 'MOSSE') {
-				mosseCalc = new mosseFilterResponses();
-				mosseCalc.init(weights, numPatches, patchSize, patchSize);
-			}
-
-			if (patchType == 'SVM') {
-				pw = pl = patchSize+searchWindow-1;
-			} else {
-				pw = pl = searchWindow;
-			}
-			pdataLength = pw*pl;
-			halfSearchWindow = (searchWindow-1)/2;
-			responsePixels = searchWindow*searchWindow;
-			if(typeof Float64Array !== 'undefined') {
-				vecProbs = new Float64Array(responsePixels);
-				for (var i = 0;i < numPatches;i++) {
-					patches[i] = new Float64Array(pdataLength);
-				}
-			} else {
-				vecProbs = new Array(responsePixels);
-				for (var i = 0;i < numPatches;i++) {
-					patches[i] = new Array(pdataLength);
-				}
-			}
-
-			if (params.weightPoints) {
-				// weighting of points
-				pointWeights = [];
-				for (var i = 0;i < numPatches;i++) {
-					if (i in params.weightPoints) {
-						pointWeights[(i*2)] = params.weightPoints[i];
-						pointWeights[(i*2)+1] = params.weightPoints[i];
-					} else {
-						pointWeights[(i*2)] = 1;
-						pointWeights[(i*2)+1] = 1;
-					}
-				}
-				pointWeights = numeric1_2_6.diag(pointWeights);
-			}
-
-			faceDetector = new faceDetection(model, params.faceDetection);
-		};
-
-		/*
-		 *	starts the tracker to run on a regular interval
-		 */
-		this.start = function(element, box) {
-			// check if model is initalized, else return false
-			if (typeof(model) === 'undefined') {
-				console.log('tracker needs to be initalized before starting to track.');
-				return false;
-			}
-			//check if a runnerelement already exists, if not, use passed parameters
-			if (typeof(runnerElement) === 'undefined') {
-				runnerElement = element;
-				runnerBox = box;
-			}
-
-			faceDetector.init(element);
-
-			// start named timeout function
-			runnerTimeout = requestAnimationFrame(runnerFunction);
-		};
-
-		var runnerFunction = function() {
-			runnerTimeout = requestAnimationFrame(runnerFunction);
-			// schedule as many iterations as we can during each request
-			var startTime = (new Date()).getTime();
-			while (((new Date()).getTime() - startTime) < 16) {
-				var tracking = this.track(runnerElement, runnerBox);
-				if (!tracking) break;
-			}
-		}.bind(this);
-
-		/*
-		 *	stop the running tracker
-		 */
-		this.stop = function() {
-			// stop the running tracker if any exists
-			cancelAnimationFrame(runnerTimeout);
-		};
-
-		/*
-		 *  element : canvas or video element
-		 *  TODO: should be able to take img element as well
-		 */
-		this.track = function(element, box) {
-			emitEvent('clmtrackrBeforeTrack');
-
-			var scaling, translateX, translateY, rotation;
-			var ptch, px, py;
-
-			if (first) {
-				if (!detectingFace) {
-					detectingFace = true;
-
-					// this returns a Promise
-					faceDetector.getInitialPosition(box)
-						.then(function (result) {
-							scaling = result[0];
-							rotation = result[1];
-							translateX = result[2];
-							translateY = result[3];
-
-							currentParameters[0] = (scaling*Math.cos(rotation))-1;
-							currentParameters[1] = (scaling*Math.sin(rotation));
-							currentParameters[2] = translateX;
-							currentParameters[3] = translateY;
-
-							currentPositions = calculatePositions(currentParameters, true);
-
-							first = false;
-							detectingFace = false;
-						})
-						.catch(function (error) {
-							// send an event on no face found
-							emitEvent('clmtrackrNotFound');
-
-							detectingFace = false;
-						});
-				}
-
-				return false;
-			} else {
-				facecheck_count += 1;
-
-				if (params.constantVelocity) {
-					// calculate where to get patches via constant velocity prediction
-					if (previousParameters.length >= 2) {
-						for (var i = 0;i < currentParameters.length;i++) {
-							currentParameters[i] = (relaxation)*previousParameters[1][i] + (1-relaxation)*((2*previousParameters[1][i]) - previousParameters[0][i]);
-							//currentParameters[i] = (3*previousParameters[2][i]) - (3*previousParameters[1][i]) + previousParameters[0][i];
-						}
-					}
-				}
-
-				// change translation, rotation and scale parameters
-				rotation = halfPI - Math.atan((currentParameters[0]+1)/currentParameters[1]);
-				if (rotation > halfPI) {
-					rotation -= Math.PI;
-				}
-				scaling = currentParameters[1] / Math.sin(rotation);
-				translateX = currentParameters[2];
-				translateY = currentParameters[3];
-			}
-
-			// copy canvas to a new dirty canvas
-			sketchCC.save();
-
-			// clear canvas
-			sketchCC.clearRect(0, 0, sketchW, sketchH);
-
-			sketchCC.scale(1/scaling, 1/scaling);
-			sketchCC.rotate(-rotation);
-			sketchCC.translate(-translateX, -translateY);
-
-			sketchCC.drawImage(element, 0, 0, element.width, element.height);
-
-			sketchCC.restore();
-			//	get cropped images around new points based on model parameters (not scaled and translated)
-			var patchPositions = calculatePositions(currentParameters, false);
-
-			// check whether tracking is ok
-			if (scoringWeights && (facecheck_count % 10 == 0)) {
-				if (!checkTracking()) {
-					// reset all parameters
-					resetParameters();
-
-					// send event to signal that tracking was lost
-					emitEvent('clmtrackrLost');
-
-					return false;
-				}
-			}
-
-
-			var pdata, pmatrix, grayscaleColor;
-			for (var i = 0; i < numPatches; i++) {
-				px = patchPositions[i][0]-(pw/2);
-				py = patchPositions[i][1]-(pl/2);
-				ptch = sketchCC.getImageData(Math.round(px), Math.round(py), pw, pl);
-				pdata = ptch.data;
-
-				// convert to grayscale
-				pmatrix = patches[i];
-				for (var j = 0;j < pdataLength;j++) {
-					grayscaleColor = pdata[j*4]*0.3 + pdata[(j*4)+1]*0.59 + pdata[(j*4)+2]*0.11;
-					pmatrix[j] = grayscaleColor;
-				}
-			}
-
-			// draw weights for debugging
-			//drawPatches(sketchCC, weights, patchSize, patchPositions, function(x) {return x*2000+127});
-
-			// draw patches for debugging
-			//drawPatches(sketchCC, patches, pw, patchPositions, false, [27,32,44,50]);
-
-			if (patchType == 'SVM') {
-				if (typeof(webglFi) !== 'undefined') {
-					responses = getWebGLResponses(patches);
-				} else if (typeof(svmFi) !== 'undefined') {
-					responses = svmFi.getResponses(patches);
-				} else {
-					throw new Error('SVM-filters do not seem to be initiated properly.');
-				}
-			} else if (patchType == 'MOSSE') {
-				responses = mosseCalc.getResponses(patches);
-			}
-
-			// option to increase sharpness of responses
-			if (params.sharpenResponse) {
-				for (var i = 0;i < numPatches;i++) {
-					for (var j = 0;j < responses[i].length;j++) {
-						responses[i][j] = Math.pow(responses[i][j], params.sharpenResponse);
-					}
-				}
-			}
-
-			// draw responses for debugging
-			//drawPatches(sketchCC, responses, searchWindow, patchPositions, function(x) {return x*255});
-
-			// iterate until convergence or max 10, 20 iterations?:
-			var originalPositions = currentPositions;
-			var jac;
-			var meanshiftVectors = [];
-
-			for (var i = 0; i < varianceSeq.length; i++) {
-
-				// calculate jacobian
-				jac = createJacobian(currentParameters, eigenVectors);
-
-				// for debugging
-				//var debugMVs = [];
-
-				var opj0, opj1;
-
-				for (var j = 0;j < numPatches;j++) {
-					opj0 = originalPositions[j][0]-((searchWindow-1)*scaling/2);
-					opj1 = originalPositions[j][1]-((searchWindow-1)*scaling/2);
-
-					// calculate PI x gaussians
-					var vpsum = gpopt(searchWindow, currentPositions[j], updatePosition, vecProbs, responses, opj0, opj1, j, varianceSeq[i], scaling);
-
-					// calculate meanshift-vector
-					gpopt2(searchWindow, vecpos, updatePosition, vecProbs, vpsum, opj0, opj1, scaling);
-					//var debugMatrixMV = gpopt2(searchWindow, vecpos, updatePosition, vecProbs, vpsum, opj0, opj1);
-
-					meanshiftVectors[j] = [vecpos[0] - currentPositions[j][0], vecpos[1] - currentPositions[j][1]];
-
-					//debugMVs[j] = debugMatrixMV;
-				}
-
-				// draw meanshiftVector for debugging
-				//drawPatches(sketchCC, debugMVs, searchWindow, patchPositions, function(x) {return x*255*500});
-
-				var meanShiftVector = numeric1_2_6.rep([numPatches*2, 1],0.0);
-				for (var k = 0;k < numPatches;k++) {
-					meanShiftVector[k*2][0] = meanshiftVectors[k][0];
-					meanShiftVector[(k*2)+1][0] = meanshiftVectors[k][1];
-				}
-
-				// compute pdm parameter update
-				//var prior = numeric.mul(gaussianPD, PDMVariance);
-				var prior = numeric1_2_6.mul(gaussianPD, varianceSeq[i]);
-				var jtj;
-				if (params.weightPoints) {
-					jtj = numeric1_2_6.dot(numeric1_2_6.transpose(jac), numeric1_2_6.dot(pointWeights, jac));
-				} else {
-					jtj = numeric1_2_6.dot(numeric1_2_6.transpose(jac), jac);
-				}
-				var cpMatrix = numeric1_2_6.rep([numParameters+4, 1],0.0);
-				for (var l = 0;l < (numParameters+4);l++) {
-					cpMatrix[l][0] = currentParameters[l];
-				}
-				var priorP = numeric1_2_6.dot(prior, cpMatrix);
-				var jtv;
-				if (params.weightPoints) {
-					jtv = numeric1_2_6.dot(numeric1_2_6.transpose(jac), numeric1_2_6.dot(pointWeights, meanShiftVector));
-				} else {
-					jtv = numeric1_2_6.dot(numeric1_2_6.transpose(jac), meanShiftVector);
-				}
-				var paramUpdateLeft = numeric1_2_6.add(prior, jtj);
-				var paramUpdateRight = numeric1_2_6.sub(priorP, jtv);
-
-				var paramUpdate = numeric1_2_6.dot(numeric1_2_6.inv(paramUpdateLeft), paramUpdateRight);
-				//var paramUpdate = numeric.solve(paramUpdateLeft, paramUpdateRight, true);
-
-				var oldPositions = currentPositions;
-
-				// update estimated parameters
-				for (var k = 0;k < numParameters+4;k++) {
-					currentParameters[k] -= paramUpdate[k];
-				}
-
-				// clipping of parameters if they're too high
-				var clip;
-				for (var k = 0;k < numParameters;k++) {
-					clip = Math.abs(3*Math.sqrt(eigenValues[k]));
-					if (Math.abs(currentParameters[k+4]) > clip) {
-						if (currentParameters[k+4] > 0) {
-							currentParameters[k+4] = clip;
-						} else {
-							currentParameters[k+4] = -clip;
-						}
-					}
-
-				}
-
-				// update current coordinates
-				currentPositions = calculatePositions(currentParameters, true);
-
-				// check if converged
-				// calculate norm of parameterdifference
-				var positionNorm = 0;
-				var pnsq_x, pnsq_y;
-				for (var k = 0;k < currentPositions.length;k++) {
-					pnsq_x = (currentPositions[k][0]-oldPositions[k][0]);
-					pnsq_y = (currentPositions[k][1]-oldPositions[k][1]);
-					positionNorm += ((pnsq_x*pnsq_x) + (pnsq_y*pnsq_y));
-				}
-
-				// if norm < limit, then break
-				if (positionNorm < convergenceLimit) {
-					break;
-				}
-
-			}
-
-			if (params.constantVelocity) {
-				// add current parameter to array of previous parameters
-				previousParameters.push(currentParameters.slice());
-				if (previousParameters.length == 3) {
-					previousParameters.shift();
-				}
-			}
-
-			// store positions, for checking convergence
-			if (previousPositions.length == 10) {
-				previousPositions.shift();
-			}
-			previousPositions.push(currentPositions.slice(0));
-
-			// send an event on each iteration
-			emitEvent('clmtrackrIteration');
-
-			// we must get a score before we can say we've converged
-			if (scoringHistory.length >= 5 && this.getConvergence() < convergenceThreshold) {
-				if (params.stopOnConvergence) {
-					this.stop();
-				}
-
-				emitEvent('clmtrackrConverged');
-			}
-
-			// return new points
-			return currentPositions;
-		};
-
-		function resetParameters() {
-			first = true;
-			scoringHistory = [];
-			previousParameters = [];
-			currentPositions = [];
-			previousPositions = [];
-			for (var i = 0;i < currentParameters.length;i++) {
-				currentParameters[i] = 0;
-			}
-		}
-
-		/*
-		 *	reset tracking, so that track() will start a new detection
-		 */
-		this.reset = function() {
-			resetParameters();
-			runnerElement = undefined;
-			runnerBox = undefined;
-		};
-
-		/*
-		 *	draw model on given canvas
-		 */
-		this.draw = function(canvas, pv, path) {
-			// if no previous points, just draw in the middle of canvas
-
-			var params;
-			if (pv === undefined) {
-				params = currentParameters.slice(0);
-			} else {
-				params = pv.slice(0);
-			}
-
-			var cc = canvas.getContext('2d');
-			cc.fillStyle = 'rgb(200,200,200)';
-			cc.strokeStyle = 'rgb(130,255,50)';
-			//cc.lineWidth = 1;
-
-			var paths;
-			if (path === undefined) {
-				paths = model.path.normal;
-			} else {
-				paths = model.path[path];
-			}
-
-			for (var i = 0;i < paths.length;i++) {
-				if (typeof(paths[i]) == 'number') {
-					drawPoint(cc, paths[i], params);
-				} else {
-					drawPath(cc, paths[i], params);
-				}
-			}
-		};
-
-		/*
-		 * 	get the score of the current model fit
-		 *	(based on svm of face according to current model)
-		 */
-		this.getScore = function() {
-			return meanscore;
-		};
-
-		/*
-		 *	calculate positions based on parameters
-		 */
-		this.calculatePositions = function(parameters) {
-			return calculatePositions(parameters, true);
-		};
-
-		/*
-		 *	get coordinates of current model fit
-		 */
-		this.getCurrentPosition = function() {
-			if (first) {
-				return false;
-			} else {
-				return currentPositions;
-			}
-		};
-
-		/*
-		 *	get parameters of current model fit
-		 */
-		this.getCurrentParameters = function() {
-			return currentParameters;
-		};
-
-		/*
-		 *	Get the average of recent model movements
-		 *	Used for checking whether model fit has converged
-		 */
-		this.getConvergence = function() {
-			if (previousPositions.length < 10) return 999999;
-
-			var prevX = 0.0;
-			var prevY = 0.0;
-			var currX = 0.0;
-			var currY = 0.0;
-
-			// average 5 previous positions
-			for (var i = 0;i < 5;i++) {
-				for (var j = 0;j < numPatches;j++) {
-					prevX += previousPositions[i][j][0];
-					prevY += previousPositions[i][j][1];
-				}
-			}
-			prevX /= 5;
-			prevY /= 5;
-
-			// average 5 positions before that
-			for (var i = 5;i < 10;i++) {
-				for (var j = 0;j < numPatches;j++) {
-					currX += previousPositions[i][j][0];
-					currY += previousPositions[i][j][1];
-				}
-			}
-			currX /= 5;
-			currY /= 5;
-
-			// calculate difference
-			var diffX = currX-prevX;
-			var diffY = currY-prevY;
-			var msavg = ((diffX*diffX) + (diffY*diffY));
-			msavg /= previousPositions.length;
-			return msavg;
-		};
-
-		/*
-		 * Set response mode (only useful if webGL is available)
-		 * mode : either "single", "blend" or "cycle"
-		 * list : array of values "raw", "sobel", "lbp"
-		 */
-		this.setResponseMode = function(mode, list) {
-			// clmtrackr must be initialized with model first
-			if (typeof(model) === 'undefined') {
-				console.log('Clmtrackr has not been initialized with a model yet. No changes made.');
-				return;
-			}
-			// must check whether webGL or not
-			if (typeof(webglFi) === 'undefined') {
-				console.log('Responsemodes are only allowed when using webGL. In pure JS, only "raw" mode is available.');
-				return;
-			}
-			if (['single', 'blend', 'cycle'].indexOf(mode) < 0) {
-				console.log('Tried to set an unknown responsemode : "'+mode+'". No changes made.');
-				return;
-			}
-			if (!(list instanceof Array)) {
-				console.log('List in setResponseMode must be an array of strings! No changes made.');
-				return;
-			} else {
-				for (var i = 0;i < list.length;i++) {
-					if (['raw', 'sobel', 'lbp'].indexOf(list[i]) < 0) {
-						console.log('Unknown element in responsemode list : "'+list[i]+'". No changes made.');
-					}
-					// check whether filters are initialized
-					if (list[i] == 'sobel' && sobelInit == false) {
-						console.log('The sobel filters have not been initialized! No changes made.');
-					}
-					if (list[i] == 'lbp' && lbpInit == false) {
-						console.log('The LBP filters have not been initialized! No changes made.');
-					}
-				}
-			}
-			// reset index
-			responseIndex = 0;
-			responseMode = mode;
-			responseList = list;
-		};
-
-
-		var getWebGLResponsesType = function(type, patches) {
-			if (type == 'lbp') {
-				return webglFi.getLBPResponses(patches);
-			} else if (type == 'raw') {
-				return webglFi.getRawResponses(patches);
-			} else if (type == 'sobel') {
-				return webglFi.getSobelResponses(patches);
-			}
-		};
-
-		var getWebGLResponses = function(patches) {
-			if (responseMode == 'single') {
-				return getWebGLResponsesType(responseList[0], patches);
-			} else if (responseMode == 'cycle') {
-				var response = getWebGLResponsesType(responseList[responseIndex], patches);
-				responseIndex++;
-				if (responseIndex >= responseList.length) responseIndex = 0;
-				return response;
-			} else {
-				// blend
-				var responses = [];
-				for (var i = 0;i < responseList.length;i++) {
-					responses[i] = getWebGLResponsesType(responseList[i], patches);
-				}
-				var blendedResponses = [];
-				var searchWindowSize = searchWindow * searchWindow;
-				for (var i = 0;i < numPatches;i++) {
-					var response = Array(searchWindowSize);
-					for (var k = 0;k < searchWindowSize;k++) response[k] = 0;
-					for (var j = 0;j < responseList.length;j++) {
-						for (var k = 0;k < searchWindowSize;k++) {
-							response[k] += (responses[j][i][k]/responseList.length);
-						}
-					}
-					blendedResponses[i] = response;
-				}
-				return blendedResponses;
-			}
-		};
-
-		// generates the jacobian matrix used for optimization calculations
-		var createJacobian = function(parameters, eigenVectors) {
-
-			var jacobian = numeric1_2_6.rep([2*numPatches, numParameters+4],0.0);
-			var j0,j1;
-			for (var i = 0;i < numPatches;i ++) {
-				// 1
-				j0 = meanShape[i][0];
-				j1 = meanShape[i][1];
-				for (var p = 0;p < numParameters;p++) {
-					j0 += parameters[p+4]*eigenVectors[i*2][p];
-					j1 += parameters[p+4]*eigenVectors[(i*2)+1][p];
-				}
-				jacobian[i*2][0] = j0;
-				jacobian[(i*2)+1][0] = j1;
-				// 2
-				j0 = meanShape[i][1];
-				j1 = meanShape[i][0];
-				for (var p = 0;p < numParameters;p++) {
-					j0 += parameters[p+4]*eigenVectors[(i*2)+1][p];
-					j1 += parameters[p+4]*eigenVectors[i*2][p];
-				}
-				jacobian[i*2][1] = -j0;
-				jacobian[(i*2)+1][1] = j1;
-				// 3
-				jacobian[i*2][2] = 1;
-				jacobian[(i*2)+1][2] = 0;
-				// 4
-				jacobian[i*2][3] = 0;
-				jacobian[(i*2)+1][3] = 1;
-				// the rest
-				for (var j = 0;j < numParameters;j++) {
-					j0 = parameters[0]*eigenVectors[i*2][j] - parameters[1]*eigenVectors[(i*2)+1][j] + eigenVectors[i*2][j];
-					j1 = parameters[0]*eigenVectors[(i*2)+1][j] + parameters[1]*eigenVectors[i*2][j] + eigenVectors[(i*2)+1][j];
-					jacobian[i*2][j+4] = j0;
-					jacobian[(i*2)+1][j+4] = j1;
-				}
-			}
-
-			return jacobian;
-		};
-
-		// calculate positions from parameters
-		var calculatePositions = function(parameters, useTransforms) {
-			var x, y, a, b;
-			var numParameters = parameters.length;
-			var positions = [];
-			for (var i = 0;i < numPatches;i++) {
-				x = meanShape[i][0];
-				y = meanShape[i][1];
-				for (var j = 0;j < numParameters-4;j++) {
-					x += model.shapeModel.eigenVectors[(i*2)][j]*parameters[j+4];
-					y += model.shapeModel.eigenVectors[(i*2)+1][j]*parameters[j+4];
-				}
-				if (useTransforms) {
-					a = parameters[0]*x - parameters[1]*y + parameters[2];
-					b = parameters[0]*y + parameters[1]*x + parameters[3];
-					x += a;
-					y += b;
-				}
-				positions[i] = [x,y];
-			}
-
-			return positions;
-		};
-
-		// part one of meanshift calculation
-		var gpopt = function(responseWidth, currentPositionsj, updatePosition, vecProbs, responses, opj0, opj1, j, variance, scaling) {
-			var pos_idx = 0;
-			var vpsum = 0;
-			var dx, dy;
-			for (var k = 0;k < responseWidth;k++) {
-				updatePosition[1] = opj1+(k*scaling);
-				for (var l = 0;l < responseWidth;l++) {
-					updatePosition[0] = opj0+(l*scaling);
-
-					dx = currentPositionsj[0] - updatePosition[0];
-					dy = currentPositionsj[1] - updatePosition[1];
-					vecProbs[pos_idx] = responses[j][pos_idx] * Math.exp(-0.5*((dx*dx)+(dy*dy))/(variance*scaling));
-
-					vpsum += vecProbs[pos_idx];
-					pos_idx++;
-				}
-			}
-
-			return vpsum;
-		};
-
-		// part two of meanshift calculation
-		var gpopt2 = function(responseWidth, vecpos, updatePosition, vecProbs, vpsum, opj0, opj1, scaling) {
-			//for debugging
-			//var vecmatrix = [];
-
-			var pos_idx = 0;
-			var vecsum = 0;
-			vecpos[0] = 0;
-			vecpos[1] = 0;
-			for (var k = 0;k < responseWidth;k++) {
-				updatePosition[1] = opj1+(k*scaling);
-				for (var l = 0;l < responseWidth;l++) {
-					updatePosition[0] = opj0+(l*scaling);
-					vecsum = vecProbs[pos_idx]/vpsum;
-
-					//vecmatrix[k*responseWidth + l] = vecsum;
-
-					vecpos[0] += vecsum*updatePosition[0];
-					vecpos[1] += vecsum*updatePosition[1];
-					pos_idx++;
-				}
-			}
-			//return vecmatrix;
-		};
-
-		// calculate score of current fit
-		var checkTracking = function() {
-			var trackingImgW = 20;
-			var trackingImgH = 22;
-
-			scoringContext.drawImage(sketchCanvas, Math.round(msxmin+(msmodelwidth/4.5)), Math.round(msymin-(msmodelheight/12)), Math.round(msmodelwidth-(msmodelwidth*2/4.5)), Math.round(msmodelheight-(msmodelheight/12)), 0, 0, trackingImgW, trackingImgH);
-			// getImageData of canvas
-			var imgData = scoringContext.getImageData(0,0,trackingImgW,trackingImgH);
-			// convert data to grayscale
-			var trackingImgSize = trackingImgW * trackingImgH;
-			var scoringData = new Array(trackingImgSize);
-			var scdata = imgData.data;
-			var scmax = 0;
-			for (var i = 0;i < trackingImgSize;i++) {
-				scoringData[i] = scdata[i*4]*0.3 + scdata[(i*4)+1]*0.59 + scdata[(i*4)+2]*0.11;
-				scoringData[i] = Math.log(scoringData[i]+1);
-				if (scoringData[i] > scmax) scmax = scoringData[i];
-			}
-
-			if (scmax > 0) {
-				// normalize & multiply by svmFilter
-				var mean = 0;
-				for (var i = 0;i < trackingImgSize;i++) {
-					mean += scoringData[i];
-				}
-				mean /= trackingImgSize;
-				var sd = 0;
-				for (var i = 0;i < trackingImgSize;i++) {
-					sd += (scoringData[i]-mean)*(scoringData[i]-mean);
-				}
-				sd /= trackingImgSize;
-				sd = Math.sqrt(sd);
-
-				var score = 0;
-				for (var i = 0;i < trackingImgSize;i++) {
-					scoringData[i] = (scoringData[i]-mean)/sd;
-					score += (scoringData[i])*scoringWeights[i];
-				}
-				score += scoringBias;
-				score = 1/(1+Math.exp(-score));
-
-				if (scoringHistory.length == 5) {
-					scoringHistory.shift();
-				}
-				scoringHistory.push(score);
-
-				if (scoringHistory.length > 4) {
-					// get average
-					meanscore = 0;
-					for (var i = 0;i < 5;i++) {
-						meanscore += scoringHistory[i];
-					}
-					meanscore /= 5;
-					// if below threshold, then reset (return false)
-					if (meanscore < params.scoreThreshold) return false;
-				}
-			}
-			return true;
-		};
-
-		// draw a parametrized line on a canvas
-		var drawPath = function(canvasContext, path, dp) {
-			canvasContext.beginPath();
-			var i, x, y, a, b;
-			for (var p = 0;p < path.length;p++) {
-				i = path[p]*2;
-				x = meanShape[i/2][0];
-				y = meanShape[i/2][1];
-				for (var j = 0;j < numParameters;j++) {
-					x += model.shapeModel.eigenVectors[i][j]*dp[j+4];
-					y += model.shapeModel.eigenVectors[i+1][j]*dp[j+4];
-				}
-				a = dp[0]*x - dp[1]*y + dp[2];
-				b = dp[0]*y + dp[1]*x + dp[3];
-				x += a;
-				y += b;
-
-				if (i == 0) {
-					canvasContext.moveTo(x,y);
-				} else {
-					canvasContext.lineTo(x,y);
-				}
-			}
-			canvasContext.moveTo(0,0);
-			canvasContext.closePath();
-			canvasContext.stroke();
-		};
-
-		// draw a point on a canvas
-		function drawPoint(canvasContext, point, dp) {
-			var i, x, y, a, b;
-			i = point*2;
-			x = meanShape[i/2][0];
-			y = meanShape[i/2][1];
-			for (var j = 0;j < numParameters;j++) {
-				x += model.shapeModel.eigenVectors[i][j]*dp[j+4];
-				y += model.shapeModel.eigenVectors[i+1][j]*dp[j+4];
-			}
-			a = dp[0]*x - dp[1]*y + dp[2];
-			b = dp[0]*y + dp[1]*x + dp[3];
-			x += a;
-			y += b;
-			canvasContext.beginPath();
-			canvasContext.arc(x, y, 1, 0, Math.PI*2, true);
-			canvasContext.closePath();
-			canvasContext.fill();
-		}
-
-		return true;
-	},
-	version : version
-};
-
-return clm;
-
-})));
diff --git a/js/build/clmtrackr.min.js b/js/build/clmtrackr.min.js
deleted file mode 100644
index 20d7d0c..0000000
--- a/js/build/clmtrackr.min.js
+++ /dev/null
@@ -1 +0,0 @@
-!function(global,factory){"object"==typeof exports&&"undefined"!=typeof module?module.exports=factory():"function"==typeof define&&define.amd?define(factory):global.clm=factory()}(this,function(){"use strict";function createCommonjsModule(fn,module){return module={exports:{}},fn(module,module.exports),module.exports}function emitEvent(eventName){var evt=new CustomEvent(eventName,{bubbles:!0,cancelable:!0});document.dispatchEvent(evt)}function FFT(){function fft(re,im,inv){for(var d,h,ik,m,tmp,wr,wi,xr,xi,n4=_n>>2,l=0;l<_n;l++)l<(m=_bitrev[l])&&(tmp=re[l],re[l]=re[m],re[m]=tmp,tmp=im[l],im[l]=im[m],im[m]=tmp);for(var k=1;k<_n;k<<=1){h=0,d=_n/(k<<1);for(var j=0;j<k;j++){wr=_cstb[h+n4],wi=inv*_cstb[h];for(var i=j;i<_n;i+=k<<1)xr=wr*re[ik=i+k]+wi*im[ik],xi=wr*im[ik]-wi*re[ik],re[ik]=re[i]-xr,re[i]+=xr,im[ik]=im[i]-xi,im[i]+=xi;h+=d}}}function _setVariables(){_bitrev="undefined"!=typeof Uint8Array?new Uint8Array(_n):new Array(_n),"undefined"!=typeof Float64Array?(_cstb=new Float64Array(1.25*_n),_tre=new Float64Array(_n*_n),_tim=new Float64Array(_n*_n)):(_cstb=new Array(1.25*_n),_tre=new Array(_n*_n),_tim=new Array(_n*_n))}function _makeBitReversal(){var i=0,j=0,k=0;for(_bitrev[0]=0;++i<_n;){for(k=_n>>1;k<=j;)j-=k,k>>=1;j+=k,_bitrev[i]=j}}function _makeCosSinTable(){var n2=_n>>1,n4=_n>>2,n8=_n>>3,n2p4=n2+n4,t=Math.sin(Math.PI/_n),dc=2*t*t,ds=Math.sqrt(dc*(2-dc)),c=_cstb[n4]=1,s=_cstb[0]=0;t=2*dc;for(var i=1;i<n8;i++)dc+=t*(c-=dc),ds-=t*(s+=ds),_cstb[i]=s,_cstb[n4-i]=c;0!==n8&&(_cstb[n8]=Math.sqrt(.5));for(var j=0;j<n4;j++)_cstb[n2-j]=_cstb[j];for(var k=0;k<n2p4;k++)_cstb[k+n2]=-_cstb[k]}var _tre,_tim,_n=0,_bitrev=null,_cstb=null;this.init=function(n){if(0===n||0!=(n&n-1))throw new Error("init: radix-2 required");_n=n,_setVariables(),_makeBitReversal(),_makeCosSinTable()},this.fft1d=function(re,im){fft(re,im,1)},this.ifft1d=function(re,im){var n=1/_n;fft(re,im,-1);for(var i=0;i<_n;i++)re[i]*=n,im[i]*=n},this.fft2d=function(re,im){for(var i=0,y=0;y<_n;y++){i=y*_n;for(var x1=0;x1<_n;x1++)_tre[x1]=re[x1+i],_tim[x1]=im[x1+i];this.fft1d(_tre,_tim);for(var x2=0;x2<_n;x2++)re[x2+i]=_tre[x2],im[x2+i]=_tim[x2]}for(var x=0;x<_n;x++){for(var y1=0;y1<_n;y1++)i=x+y1*_n,_tre[y1]=re[i],_tim[y1]=im[i];this.fft1d(_tre,_tim);for(var y2=0;y2<_n;y2++)re[i=x+y2*_n]=_tre[y2],im[i]=_tim[y2]}},this.ifft2d=function(re,im){for(var i=0,y=0;y<_n;y++){i=y*_n;for(var x1=0;x1<_n;x1++)_tre[x1]=re[x1+i],_tim[x1]=im[x1+i];this.ifft1d(_tre,_tim);for(var x2=0;x2<_n;x2++)re[x2+i]=_tre[x2],im[x2+i]=_tim[x2]}for(var x=0;x<_n;x++){for(var y1=0;y1<_n;y1++)i=x+y1*_n,_tre[y1]=re[i],_tim[y1]=im[i];this.ifft1d(_tre,_tim);for(var y2=0;y2<_n;y2++)re[i=x+y2*_n]=_tre[y2],im[i]=_tim[y2]}}}function mosseFilter(params){var _filter,_top,_bottom,_fft,_w,_h,_im_part,_arrlen,_cc,_image_array;this.psr_prev=void 0,this.peak_prev=void 0;var updateable=!1;if(params||(params={}),void 0===params.drawResponse)params.drawResponse=!1;else if("CANVAS"!=params.drawResponse.tagName)params.drawResponse=!1;else var responseContext=params.drawResponse.getContext("2d");void 0===params.psrThreshold&&(params.psrThreshold=10),void 0===params.eta&&(params.eta=.1),void 0===params.convertToGrayscale&&(params.convertToGrayscale=!0),this.load=function(filter){_w=filter.width,_h=filter.height,_arrlen=_w*_h,_filter=[filter.real,filter.imag],filter.top&&filter.bottom&&(updateable=!0,_top=[filter.top.real,filter.top.imag],_bottom=[filter.bottom.real,filter.bottom.imag]),(_fft=new FFT).init(filter.width),"undefined"!=typeof Float64Array?(_im_part=new Float64Array(_arrlen),_image_array=new Float64Array(_arrlen)):(_im_part=new Array(_arrlen),_image_array=new Array(_arrlen));var canvas=document.createElement("canvas");canvas.setAttribute("width",_w),canvas.setAttribute("height",_h),_cc=canvas.getContext("2d")},this.init=function(w,h){_arrlen=(_w=w)*(_h=h),_filter=[[],[]],_top=[[],[]],_bottom=[[],[]];for(var i=0;i<_arrlen;i++)_filter[0][i]=0,_filter[1][i]=0,_top[0][i]=0,_top[1][i]=0,_bottom[0][i]=0,_bottom[1][i]=0;updateable=!0,(_fft=new FFT).init(w),_im_part="undefined"!=typeof Float64Array?new Float64Array(_arrlen):new Array(_arrlen);var canvas=document.createElement("canvas");canvas.setAttribute("width",_w),canvas.setAttribute("height",_h),_cc=canvas.getContext("2d")},this.fft=function(array){for(var cn=new Array(_arrlen),i=0;i<_arrlen;i++)cn[i]=0;return _fft.fft2d(array,cn),[array,cn]},this.fft_inplace=function(array){for(var i=0;i<_arrlen;i++)_im_part[i]=0;return _fft.fft2d(array,_im_part),[array,_im_part]},this.ifft=function(rn,cn){return _fft.ifft2d(rn,cn),rn},this.psr=function(array){for(var val,sum=0,max=0,maxpos=[0,0],sdo=0,x=0;x<_w;x++)for(y=0;y<_h;y++)sum+=val=array[y*_w+x],sdo+=val*val,max<val&&(max=val,maxpos=[x,y]);for(x=-5;x<6;x++)for(var y=-5;y<6;y++)Math.sqrt(x*x+y*y)<5&&(sdo-=(val=array[(maxpos[1]+y)*_w+(maxpos[0]+x)])*val,sum-=val);var mean=sum/array.length;return(max-mean)/Math.sqrt(sdo/array.length-mean*mean)},this.getResponse=function(imageData){var prepImage=preprocess(imageData);prepImage=cosine_window(prepImage);var res=this.fft_inplace(prepImage);return complex_mult_inplace(res,_filter),this.ifft(res[0],res[1])},this.track=function(input,left,top,width,height,updateFilter,gaussianPrior,calcPSR){if(!_filter)return console.log("Mosse-filter needs to be initialized or trained before starting tracking."),!1;if("VIDEO"==input.tagName||"IMG"==input.tagName){var videoLeft=Math.round(left/input.width*input.videoWidth),videoTop=Math.round(top/input.height*input.videoHeight),videoWidth=Math.round(width/input.width*input.videoWidth),videoHeight=Math.round(height/input.height*input.videoHeight);_cc.drawImage(input,videoLeft,videoTop,videoWidth,videoHeight,0,0,_w,_h)}else"CANVAS"==input.tagName&&_cc.drawImage(input,left,top,width,height,0,0,_w,_h);var id=_cc.getImageData(0,0,_w,_h).data;if(params.convertToGrayscale)for(i=0;i<_arrlen;i++)_image_array[i]=.3*id[4*i],_image_array[i]+=.59*id[4*i+1],_image_array[i]+=.11*id[4*i+2];else for(i=0;i<_arrlen;i++)_image_array[i]=id[4*i];var prepImage=preprocess(_image_array);prepImage=cosine_window(prepImage);var res=this.fft_inplace(prepImage),nures=complex_mult(res,_filter),filtered=this.ifft(nures[0],nures[1]),max=0,min=0,maxpos=[0,0];if(gaussianPrior)for(var prior,dx,dy,x=0;x<_w;x++)for(y=0;y<_h;y++)dx=x-_w/2,dy=y-_h/2,prior=Math.exp(-.5*(dx*dx+dy*dy)/128),filtered[y*_w+x]*prior>max&&(max=filtered[y*_w+x]*prior,maxpos=[x,y]),filtered[y*_w+x]<min&&(min=filtered[y*_w+x]);else for(x=0;x<_w;x++)for(y=0;y<_h;y++)filtered[y*_w+x]>max&&(max=filtered[y*_w+x],maxpos=[x,y]),filtered[y*_w+x]<min&&(min=filtered[y*_w+x]);if(this.peak_prev=max,params.drawResponse){var diff=max-min,dc=document.createElement("canvas");dc.setAttribute("width",32),dc.setAttribute("height",32);for(var dcc=dc.getContext("2d"),psci=dcc.createImageData(32,32),pscidata=psci.data,j=0;j<1024;j++){var val=filtered[j];val=Math.round((val+Math.abs(min))*(255/diff)),pscidata[4*j]=val,pscidata[4*j+1]=val,pscidata[4*j+2]=val,pscidata[4*j+3]=255}dcc.putImageData(psci,0,0),responseContext.drawImage(dc,left,top,width,width)}if(calcPSR&&(this.psr_prev=this.psr(filtered)),updateFilter)if(updateable){if(calcPSR)psr=this.psr_prev;else var psr=this.psr(filtered);if(psr>params.psrThreshold){for(var target=[],nux=maxpos[0],nuy=maxpos[1],x=0;x<_w;x++)for(var y=0;y<_h;y++)target[y*_w+x]=Math.exp(-((x-nux)*(x-nux)+(y-nuy)*(y-nuy))/4);target=this.fft(target);for(var res_conj=complex_conj(res),fuTop=complex_mult(target,res_conj),fuBottom=complex_mult(res,res_conj),eta=params.eta,i=0;i<_arrlen;i++)_top[0][i]=eta*fuTop[0][i]+(1-eta)*_top[0][i],_top[1][i]=eta*fuTop[1][i]+(1-eta)*_top[1][i],_bottom[0][i]=eta*fuBottom[0][i]+(1-eta)*_bottom[0][i],_bottom[1][i]=eta*fuBottom[1][i]+(1-eta)*_bottom[1][i];_filter=complex_div(_top,_bottom)}}else console.log("The loaded filter does not support updating. Ignoring parameter 'updateFilter'.");return maxpos[0]=maxpos[0]*(width/_w),maxpos[1]=maxpos[1]*(width/_h),!(max<0)&&maxpos},this.train=function(input,left,top,width,height){if(!updateable)return console.log("The loaded filter does not support updating. Unable to do training."),!1;if("VIDEO"==input.tagName||"IMG"==input.tagName){var videoLeft=Math.round(left/input.width*input.videoWidth),videoTop=Math.round(top/input.height*input.videoHeight),videoWidth=Math.round(width/input.width*input.videoWidth),videoHeight=Math.round(height/input.height*input.videoHeight);_cc.drawImage(input,videoLeft,videoTop,videoWidth,videoHeight,0,0,_w,_h)}else"CANVAS"==input.tagName&&_cc.drawImage(input,left,top,width,height,0,0,_w,_h);for(var id=_cc.getImageData(0,0,_w,_h).data,i=0;i<_arrlen;i++)_image_array[i]=.3*id[4*i],_image_array[i]+=.59*id[4*i+1],_image_array[i]+=.11*id[4*i+2];var prepImage=preprocess(_image_array);prepImage=cosine_window(prepImage);for(var target=[],nux=_w/2,nuy=_h/2,x=0;x<_w;x++)for(var y=0;y<_h;y++)target[y*_w+x]=Math.exp(-((x-nux)*(x-nux)+(y-nuy)*(y-nuy))/4);target=this.fft(target);for(var res=this.fft(prepImage),res_conj=complex_conj(res),fuTop=complex_mult(target,res_conj),fuBottom=complex_mult(res,res_conj),eta=params.eta,i=0;i<_arrlen;i++)_top[0][i]=eta*fuTop[0][i]+(1-eta)*_top[0][i],_top[1][i]=eta*fuTop[1][i]+(1-eta)*_top[1][i],_bottom[0][i]=eta*fuBottom[0][i]+(1-eta)*_bottom[0][i],_bottom[1][i]=eta*fuBottom[1][i]+(1-eta)*_bottom[1][i];return _filter=complex_div(_top,_bottom),!0};var preprocess=function(array){for(i=0;i<_arrlen;i++)array[i]=Math.log(array[i]+1);for(var mean=0,i=0;i<_arrlen;i++)mean+=array[i];mean/=_arrlen;for(i=0;i<_arrlen;i++)array[i]-=mean;for(var norm=0,i=0;i<_arrlen;i++)norm+=array[i]*array[i];if(0!==(norm=Math.sqrt(norm)))for(i=0;i<_arrlen;i++)array[i]/=norm;return array},cosine_window=function(array){for(var pos=0,i=0;i<_w;i++)for(var j=0;j<_h;j++){var cww=Math.sin(Math.PI*i/(_w-1)),cwh=Math.sin(Math.PI*j/(_h-1));array[pos]=Math.min(cww,cwh)*array[pos],pos++}return array},complex_mult=function(cn1,cn2){for(var nucn=[new Array(_w),new Array(_w)],r=0;r<_arrlen;r++)nucn[0][r]=cn1[0][r]*cn2[0][r]-cn1[1][r]*cn2[1][r],nucn[1][r]=cn1[0][r]*cn2[1][r]+cn1[1][r]*cn2[0][r];return nucn},complex_mult_inplace=function(cn1,cn2){for(var temp1,temp2,r=0;r<_arrlen;r++)temp1=cn1[0][r]*cn2[0][r]-cn1[1][r]*cn2[1][r],temp2=cn1[0][r]*cn2[1][r]+cn1[1][r]*cn2[0][r],cn1[0][r]=temp1,cn1[1][r]=temp2},complex_conj=function(cn){for(var nucn=[[],[]],i=0;i<_arrlen;i++)nucn[0][i]=cn[0][i],nucn[1][i]=-cn[1][i];return nucn},complex_div=function(cn1,cn2){for(var nucn=[[],[]],r=0;r<_arrlen;r++)nucn[0][r]=(cn1[0][r]*cn2[0][r]+cn1[1][r]*cn2[1][r])/(cn2[0][r]*cn2[0][r]+cn2[1][r]*cn2[1][r]),nucn[1][r]=(cn1[1][r]*cn2[0][r]-cn1[0][r]*cn2[1][r])/(cn2[0][r]*cn2[0][r]+cn2[1][r]*cn2[1][r]);return nucn}}function FFT$1(){function fft(re,im,inv){for(var d,h,ik,m,tmp,wr,wi,xr,xi,n4=_n>>2,l=0;l<_n;l++)l<(m=_bitrev[l])&&(tmp=re[l],re[l]=re[m],re[m]=tmp,tmp=im[l],im[l]=im[m],im[m]=tmp);for(var k=1;k<_n;k<<=1){h=0,d=_n/(k<<1);for(var j=0;j<k;j++){wr=_cstb[h+n4],wi=inv*_cstb[h];for(var i=j;i<_n;i+=k<<1)xr=wr*re[ik=i+k]+wi*im[ik],xi=wr*im[ik]-wi*re[ik],re[ik]=re[i]-xr,re[i]+=xr,im[ik]=im[i]-xi,im[i]+=xi;h+=d}}}function _setVariables(){_bitrev="undefined"!=typeof Uint8Array?new Uint8Array(_n):new Array(_n),"undefined"!=typeof Float64Array?(_cstb=new Float64Array(1.25*_n),_tre=new Float64Array(_n),_tim=new Float64Array(_n)):(_cstb=new Array(1.25*_n),_tre=new Array(_n),_tim=new Array(_n))}function _makeBitReversal(){var i=0,j=0,k=0;for(_bitrev[0]=0;++i<_n;){for(k=_n>>1;k<=j;)j-=k,k>>=1;j+=k,_bitrev[i]=j}}function _makeCosSinTable(){var n2=_n>>1,n4=_n>>2,n8=_n>>3,n2p4=n2+n4,t=Math.sin(Math.PI/_n),dc=2*t*t,ds=Math.sqrt(dc*(2-dc)),c=_cstb[n4]=1,s=_cstb[0]=0;t=2*dc;for(var i=1;i<n8;i++)dc+=t*(c-=dc),ds-=t*(s+=ds),_cstb[i]=s,_cstb[n4-i]=c;0!==n8&&(_cstb[n8]=Math.sqrt(.5));for(var j=0;j<n4;j++)_cstb[n2-j]=_cstb[j];for(var k=0;k<n2p4;k++)_cstb[k+n2]=-_cstb[k]}var _tre,_tim,_n=0,_bitrev=null,_cstb=null;this.init=function(n){if(0===n||0!=(n&n-1))throw new Error("init: radix-2 required");_n=n,_setVariables(),_makeBitReversal(),_makeCosSinTable()},this.fft1d=function(re,im){fft(re,im,1)},this.ifft1d=function(re,im){var n=1/_n;fft(re,im,-1);for(var i=0;i<_n;i++)re[i]*=n,im[i]*=n},this.fft2d=function(re,im){for(var i=0,y=0;y<_n;y++){i=y*_n;for(var x1=0;x1<_n;x1++)_tre[x1]=re[x1+i],_tim[x1]=im[x1+i];this.fft1d(_tre,_tim);for(var x2=0;x2<_n;x2++)re[x2+i]=_tre[x2],im[x2+i]=_tim[x2]}for(var x=0;x<_n;x++){for(var y1=0;y1<_n;y1++)i=x+y1*_n,_tre[y1]=re[i],_tim[y1]=im[i];this.fft1d(_tre,_tim);for(var y2=0;y2<_n;y2++)re[i=x+y2*_n]=_tre[y2],im[i]=_tim[y2]}},this.ifft2d=function(re,im){for(var i=0,y=0;y<_n;y++){i=y*_n;for(var x1=0;x1<_n;x1++)_tre[x1]=re[x1+i],_tim[x1]=im[x1+i];this.ifft1d(_tre,_tim);for(var x2=0;x2<_n;x2++)re[x2+i]=_tre[x2],im[x2+i]=_tim[x2]}for(var x=0;x<_n;x++){for(var y1=0;y1<_n;y1++)i=x+y1*_n,_tre[y1]=re[i],_tim[y1]=im[i];this.ifft1d(_tre,_tim);for(var y2=0;y2<_n;y2++)re[i=x+y2*_n]=_tre[y2],im[i]=_tim[y2]}},this.real_ifft2d=function(re,im){for(var i2,i=0,y=0;y<_n;y++){i=y*_n;for(var x1=0;x1<_n;x1++)_tre[x1]=re[x1+i],_tim[x1]=im[x1+i];this.ifft1d(_tre,_tim);for(x2=0;x2<_n;x2++)re[x2+i]=_tre[x2],im[x2+i]=_tim[x2]}for(var halfn=_n/2,rowIdx=0,x=0;x<_n;x+=2){i=x,i2=x+1,_tre[0]=re[0+i],_tim[0]=re[0+i2],_tre[_n/2]=re[halfn*_n+i],_tim[_n/2]=re[halfn*_n+i2];for(var x2=1;x2<halfn;x2++)rowIdx=x2*_n,_tre[x2]=re[rowIdx+i]-im[rowIdx+i2],_tre[_n-x2]=re[rowIdx+i]+im[rowIdx+i2],_tim[x2]=im[rowIdx+i]+re[rowIdx+i2],_tim[_n-x2]=re[rowIdx+i2]-im[rowIdx+i];this.ifft1d(_tre,_tim);for(var y2=0;y2<_n;y2++)i2=x+1+y2*_n,re[i=x+y2*_n]=_tre[y2],re[i2]=_tim[y2]}},this.real_fft2d=function(re,im){for(var i=0,i2=0,y=0;y<_n;y+=2){i=y*_n,i2=(y+1)*_n;for(var x1=0;x1<_n;x1++)_tre[x1]=re[x1+i],_tim[x1]=re[x1+i2];this.fft1d(_tre,_tim),re[0+i]=_tre[0],re[0+i2]=_tim[0],im[0+i]=0,im[0+i2]=0,re[_n/2+i]=_tre[_n/2],re[_n/2+i2]=_tim[_n/2],im[_n/2+i]=0,im[_n/2+i2]=0;for(var x2=1;x2<_n/2;x2++)re[x2+i]=.5*(_tre[x2]+_tre[_n-x2]),im[x2+i]=.5*(_tim[x2]-_tim[_n-x2]),re[x2+i2]=.5*(_tim[x2]+_tim[_n-x2]),im[x2+i2]=-.5*(_tre[x2]-_tre[_n-x2]),re[_n-x2+i]=re[x2+i],im[_n-x2+i]=-im[x2+i],re[_n-x2+i2]=re[x2+i2],im[_n-x2+i2]=-im[x2+i2]}for(var x=0;x<_n;x++){for(var y1=0;y1<_n;y1++)i=x+y1*_n,_tre[y1]=re[i],_tim[y1]=im[i];this.fft1d(_tre,_tim);for(var y2=0;y2<_n;y2++)re[i=x+y2*_n]=_tre[y2],im[i]=_tim[y2]}}}for(var commonjsGlobal="undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:{},numeric1_2_6=(createCommonjsModule(function(module,exports){var numeric=exports;void 0!==commonjsGlobal&&(commonjsGlobal.numeric=numeric),numeric.version="1.2.6",numeric.bench=function(f,interval){var t1,t2,n,i;for(void 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y;\nvar VV = numeric."+i+"VV, VS = numeric."+i+"VS, SV = numeric."+i+'SV;\nvar dim = numeric.dim;\nfor(i=1;i!==n;++i) { \n  y = arguments[i];\n  if(typeof x === "object") {\n      if(typeof y === "object") x = numeric._biforeach2(x,y,dim(x),0,VV);\n      else x = numeric._biforeach2(x,y,dim(x),0,VS);\n  } else if(typeof y === "object") x = numeric._biforeach2(x,y,dim(y),0,SV);\n  else '+codeeq("x","y")+"\n}\nreturn x;\n"),numeric[o]=numeric[i],numeric[i+"eqV"]=numeric.pointwise2(["ret[i]","x[i]"],codeeq("ret[i]","x[i]"),setup),numeric[i+"eqS"]=numeric.pointwise2(["ret[i]","x"],codeeq("ret[i]","x"),setup),numeric[i+"eq"]=Function("var n = arguments.length, i, x = arguments[0], y;\nvar V = numeric."+i+"eqV, S = numeric."+i+'eqS\nvar s = numeric.dim(x);\nfor(i=1;i!==n;++i) { \n  y = arguments[i];\n  if(typeof y === "object") numeric._biforeach(x,y,s,0,V);\n  else numeric._biforeach(x,y,s,0,S);\n}\nreturn x;\n')}for(i=0;i<numeric.mathfuns2.length;++i)o=numeric.mathfuns2[i],delete 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numeric.mapreducers)numeric.mapreducers.hasOwnProperty(i)&&(o=numeric.mapreducers[i],numeric[i+"V"]=numeric.mapreduce2(o[0],o[1]),numeric[i]=Function("x","s","k",o[1]+'if(typeof x !== "object") {    xi = x;\n'+o[0]+';\n    return accum;\n}if(typeof s === "undefined") s = numeric.dim(x);\nif(typeof k === "undefined") k = 0;\nif(k === s.length-1) return numeric.'+i+"V(x);\nvar xi;\nvar n = x.length, i;\nfor(i=n-1;i!==-1;--i) {\n   xi = arguments.callee(x[i]);\n"+o[0]+";\n}\nreturn accum;\n"))}(),numeric.truncVV=numeric.pointwise(["x[i]","y[i]"],"ret[i] = round(x[i]/y[i])*y[i];","var round = Math.round;"),numeric.truncVS=numeric.pointwise(["x[i]","y"],"ret[i] = round(x[i]/y)*y;","var round = Math.round;"),numeric.truncSV=numeric.pointwise(["x","y[i]"],"ret[i] = round(x/y[i])*y[i];","var round = Math.round;"),numeric.trunc=function(x,y){return"object"==typeof x?"object"==typeof y?numeric.truncVV(x,y):numeric.truncVS(x,y):"object"==typeof 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i,j,k,Aj,Ai,alpha,temp,k1,n=s[0],ret=1,A=numeric.clone(x);for(j=0;j<n-1;j++){for(k=j,i=j+1;i<n;i++)Math.abs(A[i][j])>Math.abs(A[k][j])&&(k=i);for(k!==j&&(temp=A[k],A[k]=A[j],A[j]=temp,ret*=-1),Aj=A[j],i=j+1;i<n;i++){for(alpha=(Ai=A[i])[j]/Aj[j],k=j+1;k<n-1;k+=2)k1=k+1,Ai[k]-=Aj[k]*alpha,Ai[k1]-=Aj[k1]*alpha;k!==n&&(Ai[k]-=Aj[k]*alpha)}if(0===Aj[j])return 0;ret*=Aj[j]}return ret*A[j][j]},numeric.transpose=function(x){var i,j,A0,A1,Bj,m=x.length,n=x[0].length,ret=Array(n);for(j=0;j<n;j++)ret[j]=Array(m);for(i=m-1;i>=1;i-=2){for(A1=x[i],A0=x[i-1],j=n-1;j>=1;--j)(Bj=ret[j])[i]=A1[j],Bj[i-1]=A0[j],(Bj=ret[--j])[i]=A1[j],Bj[i-1]=A0[j];0===j&&((Bj=ret[0])[i]=A1[0],Bj[i-1]=A0[0])}if(0===i){for(A0=x[0],j=n-1;j>=1;--j)ret[j][0]=A0[j],ret[--j][0]=A0[j];0===j&&(ret[0][0]=A0[0])}return ret},numeric.negtranspose=function(x){var i,j,A0,A1,Bj,m=x.length,n=x[0].length,ret=Array(n);for(j=0;j<n;j++)ret[j]=Array(m);for(i=m-1;i>=1;i-=2){for(A1=x[i],A0=x[i-1],j=n-1;j>=1;--j)(Bj=ret[j])[i]=-A1[j],Bj[i-1]=-A0[j],(Bj=ret[--j])[i]=-A1[j],Bj[i-1]=-A0[j];0===j&&((Bj=ret[0])[i]=-A1[0],Bj[i-1]=-A0[0])}if(0===i){for(A0=x[0],j=n-1;j>=1;--j)ret[j][0]=-A0[j],ret[--j][0]=-A0[j];0===j&&(ret[0][0]=-A0[0])}return ret},numeric._random=function _random(s,k){var i,rnd,n=s[k],ret=Array(n);if(k===s.length-1){for(rnd=Math.random,i=n-1;i>=1;i-=2)ret[i]=rnd(),ret[i-1]=rnd();return 0===i&&(ret[0]=rnd()),ret}for(i=n-1;i>=0;i--)ret[i]=_random(s,k+1);return ret},numeric.random=function(s){return numeric._random(s,0)},numeric.norm2=function(x){return Math.sqrt(numeric.norm2Squared(x))},numeric.linspace=function(a,b,n){if(void 0===n&&(n=Math.max(Math.round(b-a)+1,1)),n<2)return 1===n?[a]:[];var i,ret=Array(n);for(i=--n;i>=0;i--)ret[i]=(i*b+(n-i)*a)/n;return ret},numeric.getBlock=function(x,from,to){function foo(x,k){var i,a=from[k],n=to[k]-a,ret=Array(n);if(k===s.length-1){for(i=n;i>=0;i--)ret[i]=x[i+a];return ret}for(i=n;i>=0;i--)ret[i]=foo(x[i+a],k+1);return ret}var s=numeric.dim(x);return foo(x,0)},numeric.setBlock=function(x,from,to,B){function foo(x,y,k){var i,a=from[k],n=to[k]-a;if(k===s.length-1)for(i=n;i>=0;i--)x[i+a]=y[i];for(i=n;i>=0;i--)foo(x[i+a],y[i],k+1)}var s=numeric.dim(x);return foo(x,B,0),x},numeric.getRange=function(A,I,J){var i,j,Bi,AI,m=I.length,n=J.length,B=Array(m);for(i=m-1;-1!==i;--i)for(B[i]=Array(n),Bi=B[i],AI=A[I[i]],j=n-1;-1!==j;--j)Bi[j]=AI[J[j]];return B},numeric.blockMatrix=function(X){var s=numeric.dim(X);if(s.length<4)return numeric.blockMatrix([X]);var M,N,i,j,Xij,m=s[0],n=s[1];for(M=0,N=0,i=0;i<m;++i)M+=X[i][0].length;for(j=0;j<n;++j)N+=X[0][j][0].length;var Z=Array(M);for(i=0;i<M;++i)Z[i]=Array(N);var J,ZI,k,l,Xijk,I=0;for(i=0;i<m;++i){for(J=N,j=n-1;-1!==j;--j)for(J-=(Xij=X[i][j])[0].length,k=Xij.length-1;-1!==k;--k)for(Xijk=Xij[k],ZI=Z[I+k],l=Xijk.length-1;-1!==l;--l)ZI[J+l]=Xijk[l];I+=X[i][0].length}return Z},numeric.tensor=function(x,y){if("number"==typeof x||"number"==typeof y)return numeric.mul(x,y);var s1=numeric.dim(x),s2=numeric.dim(y);if(1!==s1.length||1!==s2.length)throw new Error("numeric: tensor product is only defined for vectors");var Ai,i,j,xi,m=s1[0],n=s2[0],A=Array(m);for(i=m-1;i>=0;i--){for(Ai=Array(n),xi=x[i],j=n-1;j>=3;--j)Ai[j]=xi*y[j],Ai[--j]=xi*y[j],Ai[--j]=xi*y[j],Ai[--j]=xi*y[j];for(;j>=0;)Ai[j]=xi*y[j],--j;A[i]=Ai}return A},numeric.T=function(x,y){this.x=x,this.y=y},numeric.t=function(x,y){return new numeric.T(x,y)},numeric.Tbinop=function(rr,rc,cr,cc,setup){numeric.indexOf;if("string"!=typeof setup){var k;setup="";for(k in numeric)numeric.hasOwnProperty(k)&&(rr.indexOf(k)>=0||rc.indexOf(k)>=0||cr.indexOf(k)>=0||cc.indexOf(k)>=0)&&k.length>1&&(setup+="var "+k+" = numeric."+k+";\n")}return Function(["y"],"var x = this;\nif(!(y instanceof numeric.T)) { y = new numeric.T(y); }\n"+setup+"\nif(x.y) {  if(y.y) {    return new numeric.T("+cc+");\n  }\n  return new numeric.T("+cr+");\n}\nif(y.y) {\n  return new numeric.T("+rc+");\n}\nreturn new numeric.T("+rr+");\n")},numeric.T.prototype.add=numeric.Tbinop("add(x.x,y.x)","add(x.x,y.x),y.y","add(x.x,y.x),x.y","add(x.x,y.x),add(x.y,y.y)"),numeric.T.prototype.sub=numeric.Tbinop("sub(x.x,y.x)","sub(x.x,y.x),neg(y.y)","sub(x.x,y.x),x.y","sub(x.x,y.x),sub(x.y,y.y)"),numeric.T.prototype.mul=numeric.Tbinop("mul(x.x,y.x)","mul(x.x,y.x),mul(x.x,y.y)","mul(x.x,y.x),mul(x.y,y.x)","sub(mul(x.x,y.x),mul(x.y,y.y)),add(mul(x.x,y.y),mul(x.y,y.x))"),numeric.T.prototype.reciprocal=function(){var mul=numeric.mul,div=numeric.div;if(this.y){var d=numeric.add(mul(this.x,this.x),mul(this.y,this.y));return new numeric.T(div(this.x,d),div(numeric.neg(this.y),d))}return new T(div(1,this.x))},numeric.T.prototype.div=function(y){if(y instanceof numeric.T||(y=new numeric.T(y)),y.y)return this.mul(y.reciprocal());var div=numeric.div;return this.y?new numeric.T(div(this.x,y.x),div(this.y,y.x)):new numeric.T(div(this.x,y.x))},numeric.T.prototype.dot=numeric.Tbinop("dot(x.x,y.x)","dot(x.x,y.x),dot(x.x,y.y)","dot(x.x,y.x),dot(x.y,y.x)","sub(dot(x.x,y.x),dot(x.y,y.y)),add(dot(x.x,y.y),dot(x.y,y.x))"),numeric.T.prototype.transpose=function(){var t=numeric.transpose,x=this.x,y=this.y;return y?new numeric.T(t(x),t(y)):new numeric.T(t(x))},numeric.T.prototype.transjugate=function(){var t=numeric.transpose,x=this.x,y=this.y;return y?new numeric.T(t(x),numeric.negtranspose(y)):new numeric.T(t(x))},numeric.Tunop=function(r,c,s){return"string"!=typeof s&&(s=""),Function("var x = this;\n"+s+"\nif(x.y) {  "+c+";\n}\n"+r+";\n")},numeric.T.prototype.exp=numeric.Tunop("return new numeric.T(ex)","return new numeric.T(mul(cos(x.y),ex),mul(sin(x.y),ex))","var ex = numeric.exp(x.x), cos = numeric.cos, sin = numeric.sin, mul = numeric.mul;"),numeric.T.prototype.conj=numeric.Tunop("return new numeric.T(x.x);","return new numeric.T(x.x,numeric.neg(x.y));"),numeric.T.prototype.neg=numeric.Tunop("return new numeric.T(neg(x.x));","return new numeric.T(neg(x.x),neg(x.y));","var neg = numeric.neg;"),numeric.T.prototype.sin=numeric.Tunop("return new numeric.T(numeric.sin(x.x))","return x.exp().sub(x.neg().exp()).div(new numeric.T(0,2));"),numeric.T.prototype.cos=numeric.Tunop("return new numeric.T(numeric.cos(x.x))","return x.exp().add(x.neg().exp()).div(2);"),numeric.T.prototype.abs=numeric.Tunop("return new numeric.T(numeric.abs(x.x));","return new numeric.T(numeric.sqrt(numeric.add(mul(x.x,x.x),mul(x.y,x.y))));","var mul = numeric.mul;"),numeric.T.prototype.log=numeric.Tunop("return new numeric.T(numeric.log(x.x));","var theta = new numeric.T(numeric.atan2(x.y,x.x)), r = x.abs();\nreturn new numeric.T(numeric.log(r.x),theta.x);"),numeric.T.prototype.norm2=numeric.Tunop("return numeric.norm2(x.x);","var f = numeric.norm2Squared;\nreturn Math.sqrt(f(x.x)+f(x.y));"),numeric.T.prototype.inv=function(){var A=this;if(void 0===A.y)return new numeric.T(numeric.inv(A.x));var Aix,Aiy,Ajx,Ajy,Rix,Riy,Rjx,Rjy,i,j,k,d,d1,ax,ay,bx,by,temp,n=A.x.length,Rx=numeric.identity(n),Ry=numeric.rep([n,n],0),Ax=numeric.clone(A.x),Ay=numeric.clone(A.y);for(i=0;i<n;i++){for(d=(ax=Ax[i][i])*ax+(ay=Ay[i][i])*ay,k=i,j=i+1;j<n;j++)(d1=(ax=Ax[j][i])*ax+(ay=Ay[j][i])*ay)>d&&(k=j,d=d1);for(k!==i&&(temp=Ax[i],Ax[i]=Ax[k],Ax[k]=temp,temp=Ay[i],Ay[i]=Ay[k],Ay[k]=temp,temp=Rx[i],Rx[i]=Rx[k],Rx[k]=temp,temp=Ry[i],Ry[i]=Ry[k],Ry[k]=temp),Aix=Ax[i],Aiy=Ay[i],Rix=Rx[i],Riy=Ry[i],ax=Aix[i],ay=Aiy[i],j=i+1;j<n;j++)bx=Aix[j],by=Aiy[j],Aix[j]=(bx*ax+by*ay)/d,Aiy[j]=(by*ax-bx*ay)/d;for(j=0;j<n;j++)bx=Rix[j],by=Riy[j],Rix[j]=(bx*ax+by*ay)/d,Riy[j]=(by*ax-bx*ay)/d;for(j=i+1;j<n;j++){for(Ajx=Ax[j],Ajy=Ay[j],Rjx=Rx[j],Rjy=Ry[j],ax=Ajx[i],ay=Ajy[i],k=i+1;k<n;k++)bx=Aix[k],by=Aiy[k],Ajx[k]-=bx*ax-by*ay,Ajy[k]-=by*ax+bx*ay;for(k=0;k<n;k++)bx=Rix[k],by=Riy[k],Rjx[k]-=bx*ax-by*ay,Rjy[k]-=by*ax+bx*ay}}for(i=n-1;i>0;i--)for(Rix=Rx[i],Riy=Ry[i],j=i-1;j>=0;j--)for(Rjx=Rx[j],Rjy=Ry[j],ax=Ax[j][i],ay=Ay[j][i],k=n-1;k>=0;k--)bx=Rix[k],by=Riy[k],Rjx[k]-=ax*bx-ay*by,Rjy[k]-=ax*by+ay*bx;return new numeric.T(Rx,Ry)},numeric.T.prototype.get=function(i){var ik,x=this.x,y=this.y,k=0,n=i.length;if(y){for(;k<n;)x=x[ik=i[k]],y=y[ik],k++;return new numeric.T(x,y)}for(;k<n;)x=x[ik=i[k]],k++;return new numeric.T(x)},numeric.T.prototype.set=function(i,v){var ik,x=this.x,y=this.y,k=0,n=i.length,vx=v.x,vy=v.y;if(0===n)return vy?this.y=vy:y&&(this.y=void 0),this.x=x,this;if(vy){for(y||(y=numeric.rep(numeric.dim(x),0),this.y=y);k<n-1;)x=x[ik=i[k]],y=y[ik],k++;return ik=i[k],x[ik]=vx,y[ik]=vy,this}if(y){for(;k<n-1;)x=x[ik=i[k]],y=y[ik],k++;return ik=i[k],x[ik]=vx,vx instanceof Array?y[ik]=numeric.rep(numeric.dim(vx),0):y[ik]=0,this}for(;k<n-1;)x=x[ik=i[k]],k++;return ik=i[k],x[ik]=vx,this},numeric.T.prototype.getRows=function(i0,i1){var j,ry,n=i1-i0+1,rx=Array(n),x=this.x,y=this.y;for(j=i0;j<=i1;j++)rx[j-i0]=x[j];if(y){for(ry=Array(n),j=i0;j<=i1;j++)ry[j-i0]=y[j];return new numeric.T(rx,ry)}return new numeric.T(rx)},numeric.T.prototype.setRows=function(i0,i1,A){var j,rx=this.x,ry=this.y,x=A.x,y=A.y;for(j=i0;j<=i1;j++)rx[j]=x[j-i0];if(y)for(ry||(ry=numeric.rep(numeric.dim(rx),0),this.y=ry),j=i0;j<=i1;j++)ry[j]=y[j-i0];else if(ry)for(j=i0;j<=i1;j++)ry[j]=numeric.rep([x[j-i0].length],0);return this},numeric.T.prototype.getRow=function(k){var x=this.x,y=this.y;return y?new numeric.T(x[k],y[k]):new numeric.T(x[k])},numeric.T.prototype.setRow=function(i,v){var rx=this.x,ry=this.y,x=v.x,y=v.y;return rx[i]=x,y?(ry||(ry=numeric.rep(numeric.dim(rx),0),this.y=ry),ry[i]=y):ry&&(ry=numeric.rep([x.length],0)),this},numeric.T.prototype.getBlock=function(from,to){var x=this.x,y=this.y,b=numeric.getBlock;return y?new numeric.T(b(x,from,to),b(y,from,to)):new numeric.T(b(x,from,to))},numeric.T.prototype.setBlock=function(from,to,A){A instanceof numeric.T||(A=new numeric.T(A));var x=this.x,y=this.y,b=numeric.setBlock,Ax=A.x,Ay=A.y;if(Ay)return y||(this.y=numeric.rep(numeric.dim(this),0),y=this.y),b(x,from,to,Ax),b(y,from,to,Ay),this;b(x,from,to,Ax),y&&b(y,from,to,numeric.rep(numeric.dim(Ax),0))},numeric.T.rep=function(s,v){var T=numeric.T;v instanceof T||(v=new T(v));var x=v.x,y=v.y,r=numeric.rep;return y?new T(r(s,x),r(s,y)):new T(r(s,x))},numeric.T.diag=function(d){d instanceof numeric.T||(d=new numeric.T(d));var x=d.x,y=d.y,diag=numeric.diag;return y?new numeric.T(diag(x),diag(y)):new numeric.T(diag(x))},numeric.T.eig=function(){if(this.y)throw new Error("eig: not implemented for complex matrices.");return numeric.eig(this.x)},numeric.T.identity=function(n){return new numeric.T(numeric.identity(n))},numeric.T.prototype.getDiag=function(){var n=numeric,x=this.x,y=this.y;return y?new n.T(n.getDiag(x),n.getDiag(y)):new n.T(n.getDiag(x))},numeric.house=function(x){var v=numeric.clone(x),alpha=(x[0]>=0?1:-1)*numeric.norm2(x);v[0]+=alpha;var foo=numeric.norm2(v);if(0===foo)throw new Error("eig: internal error");return numeric.div(v,foo)},numeric.toUpperHessenberg=function(me){var s=numeric.dim(me);if(2!==s.length||s[0]!==s[1])throw new Error("numeric: toUpperHessenberg() only works on square matrices");var i,j,k,x,v,B,C,Ai,Ci,Qi,m=s[0],A=numeric.clone(me),Q=numeric.identity(m);for(j=0;j<m-2;j++){for(x=Array(m-j-1),i=j+1;i<m;i++)x[i-j-1]=A[i][j];if(numeric.norm2(x)>0){for(v=numeric.house(x),B=numeric.getBlock(A,[j+1,j],[m-1,m-1]),C=numeric.tensor(v,numeric.dot(v,B)),i=j+1;i<m;i++)for(Ai=A[i],Ci=C[i-j-1],k=j;k<m;k++)Ai[k]-=2*Ci[k-j];for(B=numeric.getBlock(A,[0,j+1],[m-1,m-1]),C=numeric.tensor(numeric.dot(B,v),v),i=0;i<m;i++)for(Ai=A[i],Ci=C[i],k=j+1;k<m;k++)Ai[k]-=2*Ci[k-j-1];for(B=Array(m-j-1),i=j+1;i<m;i++)B[i-j-1]=Q[i];for(C=numeric.tensor(v,numeric.dot(v,B)),i=j+1;i<m;i++)for(Qi=Q[i],Ci=C[i-j-1],k=0;k<m;k++)Qi[k]-=2*Ci[k]}}return{H:A,Q:Q}},numeric.epsilon=2.220446049250313e-16,numeric.QRFrancis=function(H,maxiter){void 0===maxiter&&(maxiter=1e4),H=numeric.clone(H);numeric.clone(H);var x,v,a,b,c,d,det,tr,Hloc,Qi,Hi,B,C,Ci,i,j,k,iter,m=numeric.dim(H)[0],Q=numeric.identity(m);if(m<3)return{Q:Q,B:[[0,m-1]]};var epsilon=numeric.epsilon;for(iter=0;iter<maxiter;iter++){for(j=0;j<m-1;j++)if(Math.abs(H[j+1][j])<epsilon*(Math.abs(H[j][j])+Math.abs(H[j+1][j+1]))){var QH1=numeric.QRFrancis(numeric.getBlock(H,[0,0],[j,j]),maxiter),QH2=numeric.QRFrancis(numeric.getBlock(H,[j+1,j+1],[m-1,m-1]),maxiter);for(B=Array(j+1),i=0;i<=j;i++)B[i]=Q[i];for(C=numeric.dot(QH1.Q,B),i=0;i<=j;i++)Q[i]=C[i];for(B=Array(m-j-1),i=j+1;i<m;i++)B[i-j-1]=Q[i];for(C=numeric.dot(QH2.Q,B),i=j+1;i<m;i++)Q[i]=C[i-j-1];return{Q:Q,B:QH1.B.concat(numeric.add(QH2.B,j+1))}}if(a=H[m-2][m-2],b=H[m-2][m-1],c=H[m-1][m-2],d=H[m-1][m-1],tr=a+d,det=a*d-b*c,Hloc=numeric.getBlock(H,[0,0],[2,2]),tr*tr>=4*det){var s1,s2;s1=.5*(tr+Math.sqrt(tr*tr-4*det)),s2=.5*(tr-Math.sqrt(tr*tr-4*det)),Hloc=numeric.add(numeric.sub(numeric.dot(Hloc,Hloc),numeric.mul(Hloc,s1+s2)),numeric.diag(numeric.rep([3],s1*s2)))}else Hloc=numeric.add(numeric.sub(numeric.dot(Hloc,Hloc),numeric.mul(Hloc,tr)),numeric.diag(numeric.rep([3],det)));for(x=[Hloc[0][0],Hloc[1][0],Hloc[2][0]],v=numeric.house(x),B=[H[0],H[1],H[2]],C=numeric.tensor(v,numeric.dot(v,B)),i=0;i<3;i++)for(Hi=H[i],Ci=C[i],k=0;k<m;k++)Hi[k]-=2*Ci[k];for(B=numeric.getBlock(H,[0,0],[m-1,2]),C=numeric.tensor(numeric.dot(B,v),v),i=0;i<m;i++)for(Hi=H[i],Ci=C[i],k=0;k<3;k++)Hi[k]-=2*Ci[k];for(B=[Q[0],Q[1],Q[2]],C=numeric.tensor(v,numeric.dot(v,B)),i=0;i<3;i++)for(Qi=Q[i],Ci=C[i],k=0;k<m;k++)Qi[k]-=2*Ci[k];var J;for(j=0;j<m-2;j++){for(k=j;k<=j+1;k++)if(Math.abs(H[k+1][k])<epsilon*(Math.abs(H[k][k])+Math.abs(H[k+1][k+1]))){var QH1=numeric.QRFrancis(numeric.getBlock(H,[0,0],[k,k]),maxiter),QH2=numeric.QRFrancis(numeric.getBlock(H,[k+1,k+1],[m-1,m-1]),maxiter);for(B=Array(k+1),i=0;i<=k;i++)B[i]=Q[i];for(C=numeric.dot(QH1.Q,B),i=0;i<=k;i++)Q[i]=C[i];for(B=Array(m-k-1),i=k+1;i<m;i++)B[i-k-1]=Q[i];for(C=numeric.dot(QH2.Q,B),i=k+1;i<m;i++)Q[i]=C[i-k-1];return{Q:Q,B:QH1.B.concat(numeric.add(QH2.B,k+1))}}for(J=Math.min(m-1,j+3),x=Array(J-j),i=j+1;i<=J;i++)x[i-j-1]=H[i][j];for(v=numeric.house(x),B=numeric.getBlock(H,[j+1,j],[J,m-1]),C=numeric.tensor(v,numeric.dot(v,B)),i=j+1;i<=J;i++)for(Hi=H[i],Ci=C[i-j-1],k=j;k<m;k++)Hi[k]-=2*Ci[k-j];for(B=numeric.getBlock(H,[0,j+1],[m-1,J]),C=numeric.tensor(numeric.dot(B,v),v),i=0;i<m;i++)for(Hi=H[i],Ci=C[i],k=j+1;k<=J;k++)Hi[k]-=2*Ci[k-j-1];for(B=Array(J-j),i=j+1;i<=J;i++)B[i-j-1]=Q[i];for(C=numeric.tensor(v,numeric.dot(v,B)),i=j+1;i<=J;i++)for(Qi=Q[i],Ci=C[i-j-1],k=0;k<m;k++)Qi[k]-=2*Ci[k]}}throw new Error("numeric: eigenvalue iteration does not converge -- increase maxiter?")},numeric.eig=function(A,maxiter){var i,k,Q0,j,a,b,c,d,p1,disc,x,y,p,q,n1,n2,QH=numeric.toUpperHessenberg(A),QB=numeric.QRFrancis(QH.H,maxiter),T=numeric.T,n=A.length,B=QB.B,H=numeric.dot(QB.Q,numeric.dot(QH.H,numeric.transpose(QB.Q))),Q=new T(numeric.dot(QB.Q,QH.Q)),m=B.length,sqrt=Math.sqrt;for(k=0;k<m;k++)if((i=B[k][0])===B[k][1]);else{if(j=i+1,a=H[i][i],b=H[i][j],c=H[j][i],d=H[j][j],0===b&&0===c)continue;(disc=(p1=-a-d)*p1-4*(a*d-b*c))>=0?((n1=(a-(x=p1<0?-.5*(p1-sqrt(disc)):-.5*(p1+sqrt(disc))))*(a-x)+b*b)>(n2=c*c+(d-x)*(d-x))?(p=(a-x)/(n1=sqrt(n1)),q=b/n1):(p=c/(n2=sqrt(n2)),q=(d-x)/n2),Q0=new T([[q,-p],[p,q]]),Q.setRows(i,j,Q0.dot(Q.getRows(i,j)))):(x=-.5*p1,y=.5*sqrt(-disc),(n1=(a-x)*(a-x)+b*b)>(n2=c*c+(d-x)*(d-x))?(p=(a-x)/(n1=sqrt(n1+y*y)),q=b/n1,x=0,y/=n1):(p=c/(n2=sqrt(n2+y*y)),q=(d-x)/n2,x=y/n2,y=0),Q0=new T([[q,-p],[p,q]],[[x,y],[y,-x]]),Q.setRows(i,j,Q0.dot(Q.getRows(i,j))))}var R=Q.dot(A).dot(Q.transjugate()),n=A.length,E=numeric.T.identity(n);for(j=0;j<n;j++)if(j>0)for(k=j-1;k>=0;k--){var Rk=R.get([k,k]),Rj=R.get([j,j]);numeric.neq(Rk.x,Rj.x)||numeric.neq(Rk.y,Rj.y)?(x=R.getRow(k).getBlock([k],[j-1]),y=E.getRow(j).getBlock([k],[j-1]),E.set([j,k],R.get([k,j]).neg().sub(x.dot(y)).div(Rk.sub(Rj)))):E.setRow(j,E.getRow(k))}for(j=0;j<n;j++)x=E.getRow(j),E.setRow(j,x.div(x.norm2()));return E=E.transpose(),E=Q.transjugate().dot(E),{lambda:R.getDiag(),E:E}},numeric.ccsSparse=function(A){var foo,i,j,m=A.length,counts=[];for(i=m-1;-1!==i;--i){foo=A[i];for(j in foo){for(j=parseInt(j);j>=counts.length;)counts[counts.length]=0;0!==foo[j]&&counts[j]++}}var n=counts.length,Ai=Array(n+1);for(Ai[0]=0,i=0;i<n;++i)Ai[i+1]=Ai[i]+counts[i];var Aj=Array(Ai[n]),Av=Array(Ai[n]);for(i=m-1;-1!==i;--i){foo=A[i];for(j in foo)0!==foo[j]&&(counts[j]--,Aj[Ai[j]+counts[j]]=i,Av[Ai[j]+counts[j]]=foo[j])}return[Ai,Aj,Av]},numeric.ccsFull=function(A){var i,j,j0,j1,Ai=A[0],Aj=A[1],Av=A[2],s=numeric.ccsDim(A),m=s[0],n=s[1],B=numeric.rep([m,n],0);for(i=0;i<n;i++)for(j0=Ai[i],j1=Ai[i+1],j=j0;j<j1;++j)B[Aj[j]][i]=Av[j];return B},numeric.ccsTSolve=function(A,b,x,bj,xj){function dfs(j){var k;if(0===x[j]){for(x[j]=1,k=Ai[j];k<Ai[j+1];++k)dfs(Aj[k]);xj[n]=j,++n}}var Ai=A[0],Aj=A[1],Av=A[2],m=Ai.length-1,max=Math.max,n=0;void 0===bj&&(x=numeric.rep([m],0)),void 0===bj&&(bj=numeric.linspace(0,x.length-1)),void 0===xj&&(xj=[]);var i,j,j0,j1,k,l,a;for(i=bj.length-1;-1!==i;--i)dfs(bj[i]);for(xj.length=n,i=xj.length-1;-1!==i;--i)x[xj[i]]=0;for(i=bj.length-1;-1!==i;--i)j=bj[i],x[j]=b[j];for(i=xj.length-1;-1!==i;--i){for(j=xj[i],j0=Ai[j],j1=max(Ai[j+1],j0),k=j0;k!==j1;++k)if(Aj[k]===j){x[j]/=Av[k];break}for(a=x[j],k=j0;k!==j1;++k)(l=Aj[k])!==j&&(x[l]-=a*Av[k])}return x},numeric.ccsDFS=function(n){this.k=Array(n),this.k1=Array(n),this.j=Array(n)},numeric.ccsDFS.prototype.dfs=function(J,Ai,Aj,x,xj,Pinv){var foo,km,k11,m=0,n=xj.length,k=this.k,k1=this.k1,j=this.j;if(0===x[J])for(x[J]=1,j[0]=J,k[0]=km=Ai[J],k1[0]=k11=Ai[J+1];;)if(km>=k11){if(xj[n]=j[m],0===m)return;++n,km=k[--m],k11=k1[m]}else 0===x[foo=Pinv[Aj[km]]]?(x[foo]=1,k[m]=km,j[++m]=foo,km=Ai[foo],k1[m]=k11=Ai[foo+1]):++km},numeric.ccsLPSolve=function(A,B,x,xj,I,Pinv,dfs){var i,i0,i1,j,j0,j1,k,l,a,Ai=A[0],Aj=A[1],Av=A[2],Bi=(Ai.length,B[0]),Bj=B[1],Bv=B[2];for(i0=Bi[I],i1=Bi[I+1],xj.length=0,i=i0;i<i1;++i)dfs.dfs(Pinv[Bj[i]],Ai,Aj,x,xj,Pinv);for(i=xj.length-1;-1!==i;--i)x[xj[i]]=0;for(i=i0;i!==i1;++i)x[j=Pinv[Bj[i]]]=Bv[i];for(i=xj.length-1;-1!==i;--i){for(j0=Ai[j=xj[i]],j1=Ai[j+1],k=j0;k<j1;++k)if(Pinv[Aj[k]]===j){x[j]/=Av[k];break}for(a=x[j],k=j0;k<j1;++k)(l=Pinv[Aj[k]])!==j&&(x[l]-=a*Av[k])}return x},numeric.ccsLUP1=function(A,threshold){var i,j,k,a,e,c,d,m=A[0].length-1,L=[numeric.rep([m+1],0),[],[]],U=[numeric.rep([m+1],0),[],[]],Li=L[0],Lj=L[1],Lv=L[2],Ui=U[0],Uj=U[1],Uv=U[2],x=numeric.rep([m],0),xj=numeric.rep([m],0),sol=numeric.ccsLPSolve,abs=(Math.max,Math.abs),P=numeric.linspace(0,m-1),Pinv=numeric.linspace(0,m-1),dfs=new numeric.ccsDFS(m);for(void 0===threshold&&(threshold=1),i=0;i<m;++i){for(sol(L,A,x,xj,i,Pinv,dfs),a=-1,e=-1,j=xj.length-1;-1!==j;--j)(k=xj[j])<=i||(c=abs(x[k]))>a&&(e=k,a=c);for(abs(x[i])<threshold*a&&(j=P[i],a=P[e],P[i]=a,Pinv[a]=i,P[e]=j,Pinv[j]=e,a=x[i],x[i]=x[e],x[e]=a),a=Li[i],e=Ui[i],d=x[i],Lj[a]=P[i],Lv[a]=1,++a,j=xj.length-1;-1!==j;--j)c=x[k=xj[j]],xj[j]=0,x[k]=0,k<=i?(Uj[e]=k,Uv[e]=c,++e):(Lj[a]=P[k],Lv[a]=c/d,++a);Li[i+1]=a,Ui[i+1]=e}for(j=Lj.length-1;-1!==j;--j)Lj[j]=Pinv[Lj[j]];return{L:L,U:U,P:P,Pinv:Pinv}},numeric.ccsDFS0=function(n){this.k=Array(n),this.k1=Array(n),this.j=Array(n)},numeric.ccsDFS0.prototype.dfs=function(J,Ai,Aj,x,xj,Pinv,P){var foo,km,k11,m=0,n=xj.length,k=this.k,k1=this.k1,j=this.j;if(0===x[J])for(x[J]=1,j[0]=J,k[0]=km=Ai[Pinv[J]],k1[0]=k11=Ai[Pinv[J]+1];;){if(isNaN(km))throw new Error("Ow!");if(km>=k11){if(xj[n]=Pinv[j[m]],0===m)return;++n,km=k[--m],k11=k1[m]}else 0===x[foo=Aj[km]]?(x[foo]=1,k[m]=km,j[++m]=foo,km=Ai[foo=Pinv[foo]],k1[m]=k11=Ai[foo+1]):++km}},numeric.ccsLPSolve0=function(A,B,y,xj,I,Pinv,P,dfs){var i,i0,i1,j,j0,j1,k,l,a,Ai=A[0],Aj=A[1],Av=A[2],Bi=(Ai.length,B[0]),Bj=B[1],Bv=B[2];for(i0=Bi[I],i1=Bi[I+1],xj.length=0,i=i0;i<i1;++i)dfs.dfs(Bj[i],Ai,Aj,y,xj,Pinv,P);for(i=xj.length-1;-1!==i;--i)y[P[j=xj[i]]]=0;for(i=i0;i!==i1;++i)y[j=Bj[i]]=Bv[i];for(i=xj.length-1;-1!==i;--i){for(l=P[j=xj[i]],j0=Ai[j],j1=Ai[j+1],k=j0;k<j1;++k)if(Aj[k]===l){y[l]/=Av[k];break}for(a=y[l],k=j0;k<j1;++k)y[Aj[k]]-=a*Av[k];y[l]=a}},numeric.ccsLUP0=function(A,threshold){var i,j,k,a,e,c,d,m=A[0].length-1,L=[numeric.rep([m+1],0),[],[]],U=[numeric.rep([m+1],0),[],[]],Li=L[0],Lj=L[1],Lv=L[2],Ui=U[0],Uj=U[1],Uv=U[2],y=numeric.rep([m],0),xj=numeric.rep([m],0),sol=numeric.ccsLPSolve0,abs=(Math.max,Math.abs),P=numeric.linspace(0,m-1),Pinv=numeric.linspace(0,m-1),dfs=new numeric.ccsDFS0(m);for(void 0===threshold&&(threshold=1),i=0;i<m;++i){for(sol(L,A,y,xj,i,Pinv,P,dfs),a=-1,e=-1,j=xj.length-1;-1!==j;--j)(k=xj[j])<=i||(c=abs(y[P[k]]))>a&&(e=k,a=c);for(abs(y[P[i]])<threshold*a&&(j=P[i],a=P[e],P[i]=a,Pinv[a]=i,P[e]=j,Pinv[j]=e),a=Li[i],e=Ui[i],d=y[P[i]],Lj[a]=P[i],Lv[a]=1,++a,j=xj.length-1;-1!==j;--j)c=y[P[k=xj[j]]],xj[j]=0,y[P[k]]=0,k<=i?(Uj[e]=k,Uv[e]=c,++e):(Lj[a]=P[k],Lv[a]=c/d,++a);Li[i+1]=a,Ui[i+1]=e}for(j=Lj.length-1;-1!==j;--j)Lj[j]=Pinv[Lj[j]];return{L:L,U:U,P:P,Pinv:Pinv}},numeric.ccsLUP=numeric.ccsLUP0,numeric.ccsDim=function(A){return[numeric.sup(A[1])+1,A[0].length-1]},numeric.ccsGetBlock=function(A,i,j){var s=numeric.ccsDim(A),m=s[0],n=s[1];void 0===i?i=numeric.linspace(0,m-1):"number"==typeof i&&(i=[i]),void 0===j?j=numeric.linspace(0,n-1):"number"==typeof j&&(j=[j]);var p,q,r,jq,P=i.length,Q=j.length,Bi=numeric.rep([n],0),Bj=[],Bv=[],B=[Bi,Bj,Bv],Ai=A[0],Aj=A[1],Av=A[2],x=numeric.rep([m],0),count=0,flags=numeric.rep([m],0);for(q=0;q<Q;++q){var q0=Ai[jq=j[q]],q1=Ai[jq+1];for(p=q0;p<q1;++p)flags[r=Aj[p]]=1,x[r]=Av[p];for(p=0;p<P;++p)flags[i[p]]&&(Bj[count]=p,Bv[count]=x[i[p]],++count);for(p=q0;p<q1;++p)flags[r=Aj[p]]=0;Bi[q+1]=count}return B},numeric.ccsDot=function(A,B){var i,j,k,j0,j1,i0,i1,l,p,a,b,Ai=A[0],Aj=A[1],Av=A[2],Bi=B[0],Bj=B[1],Bv=B[2],sA=numeric.ccsDim(A),sB=numeric.ccsDim(B),m=sA[0],o=(sA[1],sB[1]),x=numeric.rep([m],0),flags=numeric.rep([m],0),xj=Array(m),Ci=numeric.rep([o],0),Cj=[],Cv=[],C=[Ci,Cj,Cv];for(k=0;k!==o;++k){for(j0=Bi[k],j1=Bi[k+1],p=0,j=j0;j<j1;++j)for(a=Bj[j],b=Bv[j],i0=Ai[a],i1=Ai[a+1],i=i0;i<i1;++i)0===flags[l=Aj[i]]&&(xj[p]=l,flags[l]=1,p+=1),x[l]=x[l]+Av[i]*b;for(j1=(j0=Ci[k])+p,Ci[k+1]=j1,j=p-1;-1!==j;--j)b=j0+j,i=xj[j],Cj[b]=i,Cv[b]=x[i],flags[i]=0,x[i]=0;Ci[k+1]=Ci[k]+p}return C},numeric.ccsLUPSolve=function(LUP,B){var L=LUP.L,U=LUP.U,Bi=(LUP.P,B[0]),flag=!1;"object"!=typeof Bi&&(Bi=(B=[[0,B.length],numeric.linspace(0,B.length-1),B])[0],flag=!0);var i,j,j0,j1,k,J,Bj=B[1],Bv=B[2],n=L[0].length-1,m=Bi.length-1,x=numeric.rep([n],0),xj=Array(n),b=numeric.rep([n],0),bj=Array(n),Xi=numeric.rep([m+1],0),Xj=[],Xv=[],sol=numeric.ccsTSolve,N=0;for(i=0;i<m;++i){for(k=0,j0=Bi[i],j1=Bi[i+1],j=j0;j<j1;++j)J=LUP.Pinv[Bj[j]],bj[k]=J,b[J]=Bv[j],++k;for(bj.length=k,sol(L,b,x,bj,xj),j=bj.length-1;-1!==j;--j)b[bj[j]]=0;if(sol(U,x,b,xj,bj),flag)return b;for(j=xj.length-1;-1!==j;--j)x[xj[j]]=0;for(j=bj.length-1;-1!==j;--j)J=bj[j],Xj[N]=J,Xv[N]=b[J],b[J]=0,++N;Xi[i+1]=N}return[Xi,Xj,Xv]},numeric.ccsbinop=function(body,setup){return void 0===setup&&(setup=""),Function("X","Y","var Xi = X[0], Xj = X[1], Xv = X[2];\nvar Yi = Y[0], Yj = Y[1], Yv = Y[2];\nvar n = Xi.length-1,m = Math.max(numeric.sup(Xj),numeric.sup(Yj))+1;\nvar Zi = numeric.rep([n+1],0), Zj = [], Zv = [];\nvar x = numeric.rep([m],0),y = numeric.rep([m],0);\nvar xk,yk,zk;\nvar i,j,j0,j1,k,p=0;\n"+setup+"for(i=0;i<n;++i) {\n  j0 = Xi[i]; j1 = Xi[i+1];\n  for(j=j0;j!==j1;++j) {\n    k = Xj[j];\n    x[k] = 1;\n    Zj[p] = k;\n    ++p;\n  }\n  j0 = Yi[i]; j1 = Yi[i+1];\n  for(j=j0;j!==j1;++j) {\n    k = Yj[j];\n    y[k] = Yv[j];\n    if(x[k] === 0) {\n      Zj[p] = k;\n      ++p;\n    }\n  }\n  Zi[i+1] = p;\n  j0 = Xi[i]; j1 = Xi[i+1];\n  for(j=j0;j!==j1;++j) x[Xj[j]] = Xv[j];\n  j0 = Zi[i]; j1 = Zi[i+1];\n  for(j=j0;j!==j1;++j) {\n    k = Zj[j];\n    xk = x[k];\n    yk = y[k];\n"+body+"\n    Zv[j] = zk;\n  }\n  j0 = Xi[i]; j1 = Xi[i+1];\n  for(j=j0;j!==j1;++j) x[Xj[j]] = 0;\n  j0 = Yi[i]; j1 = Yi[i+1];\n  for(j=j0;j!==j1;++j) y[Yj[j]] = 0;\n}\nreturn [Zi,Zj,Zv];")},function(){var k,A,B,C;for(k in numeric.ops2)A=isFinite(eval("1"+numeric.ops2[k]+"0"))?"[Y[0],Y[1],numeric."+k+"(X,Y[2])]":"NaN",B=isFinite(eval("0"+numeric.ops2[k]+"1"))?"[X[0],X[1],numeric."+k+"(X[2],Y)]":"NaN",C=isFinite(eval("1"+numeric.ops2[k]+"0"))&&isFinite(eval("0"+numeric.ops2[k]+"1"))?"numeric.ccs"+k+"MM(X,Y)":"NaN",numeric["ccs"+k+"MM"]=numeric.ccsbinop("zk = xk "+numeric.ops2[k]+"yk;"),numeric["ccs"+k]=Function("X","Y",'if(typeof X === "number") return '+A+';\nif(typeof Y === "number") return '+B+";\nreturn "+C+";\n")}(),numeric.ccsScatter=function(A){var i,Ai=A[0],Aj=A[1],Av=A[2],n=numeric.sup(Aj)+1,m=Ai.length,Ri=numeric.rep([n],0),Rj=Array(m),Rv=Array(m),counts=numeric.rep([n],0);for(i=0;i<m;++i)counts[Aj[i]]++;for(i=0;i<n;++i)Ri[i+1]=Ri[i]+counts[i];var k,Aii,ptr=Ri.slice(0);for(i=0;i<m;++i)Rj[k=ptr[Aii=Aj[i]]]=Ai[i],Rv[k]=Av[i],ptr[Aii]=ptr[Aii]+1;return[Ri,Rj,Rv]},numeric.ccsGather=function(A){var i,j,j0,j1,p,Ai=A[0],Aj=A[1],Av=A[2],n=Ai.length-1,m=Aj.length,Ri=Array(m),Rj=Array(m),Rv=Array(m);for(p=0,i=0;i<n;++i)for(j0=Ai[i],j1=Ai[i+1],j=j0;j!==j1;++j)Rj[p]=i,Ri[p]=Aj[j],Rv[p]=Av[j],++p;return[Ri,Rj,Rv]},numeric.sdim=function dim(A,ret,k){if(void 0===ret&&(ret=[]),"object"!=typeof A)return ret;void 0===k&&(k=0),k in ret||(ret[k]=0),A.length>ret[k]&&(ret[k]=A.length);var i;for(i in A)A.hasOwnProperty(i)&&dim(A[i],ret,k+1);return ret},numeric.sclone=function clone(A,k,n){void 0===k&&(k=0),void 0===n&&(n=numeric.sdim(A).length);var i,ret=Array(A.length);if(k===n-1){for(i in A)A.hasOwnProperty(i)&&(ret[i]=A[i]);return ret}for(i in A)A.hasOwnProperty(i)&&(ret[i]=clone(A[i],k+1,n));return ret},numeric.sdiag=function(d){var i,i1,n=d.length,ret=Array(n);for(i=n-1;i>=1;i-=2)i1=i-1,ret[i]=[],ret[i][i]=d[i],ret[i1]=[],ret[i1][i1]=d[i1];return 0===i&&(ret[0]=[],ret[0][0]=d[i]),ret},numeric.sidentity=function(n){return numeric.sdiag(numeric.rep([n],1))},numeric.stranspose=function(A){var i,j,Ai,ret=[];A.length;for(i in A)if(A.hasOwnProperty(i)){Ai=A[i];for(j in Ai)Ai.hasOwnProperty(j)&&("object"!=typeof ret[j]&&(ret[j]=[]),ret[j][i]=Ai[j])}return ret},numeric.sLUP=function(A,tol){throw new Error("The function numeric.sLUP had a bug in it and has been removed. Please use the new numeric.ccsLUP function instead.")},numeric.sdotMM=function(A,B){var Ai,BTk,i,j,k,accum,reti,p=A.length,BT=(B.length,numeric.stranspose(B)),r=BT.length,ret=Array(p);for(i=p-1;i>=0;i--){for(reti=[],Ai=A[i],k=r-1;k>=0;k--){accum=0,BTk=BT[k];for(j in Ai)Ai.hasOwnProperty(j)&&j in BTk&&(accum+=Ai[j]*BTk[j]);accum&&(reti[k]=accum)}ret[i]=reti}return ret},numeric.sdotMV=function(A,x){var Ai,i,j,accum,p=A.length,ret=Array(p);for(i=p-1;i>=0;i--){Ai=A[i],accum=0;for(j in Ai)Ai.hasOwnProperty(j)&&x[j]&&(accum+=Ai[j]*x[j]);accum&&(ret[i]=accum)}return ret},numeric.sdotVM=function(x,A){var i,j,Ai,alpha,ret=[];for(i in x)if(x.hasOwnProperty(i)){Ai=A[i],alpha=x[i];for(j in Ai)Ai.hasOwnProperty(j)&&(ret[j]||(ret[j]=0),ret[j]+=alpha*Ai[j])}return ret},numeric.sdotVV=function(x,y){var i,ret=0;for(i in x)x[i]&&y[i]&&(ret+=x[i]*y[i]);return ret},numeric.sdot=function(A,B){var m=numeric.sdim(A).length,n=numeric.sdim(B).length;switch(1e3*m+n){case 0:return A*B;case 1001:return numeric.sdotVV(A,B);case 2001:return numeric.sdotMV(A,B);case 1002:return numeric.sdotVM(A,B);case 2002:return numeric.sdotMM(A,B);default:throw new Error("numeric.sdot not implemented for tensors of order "+m+" and "+n)}},numeric.sscatter=function(V){var Vij,i,j,Aj,n=V[0].length,m=V.length,A=[];for(i=n-1;i>=0;--i)if(V[m-1][i]){for(Aj=A,j=0;j<m-2;j++)Aj[Vij=V[j][i]]||(Aj[Vij]=[]),Aj=Aj[Vij];Aj[V[j][i]]=V[j+1][i]}return A},numeric.sgather=function gather(A,ret,k){void 0===ret&&(ret=[]),void 0===k&&(k=[]);var n,i,Ai;n=k.length;for(i in A)if(A.hasOwnProperty(i))if(k[n]=parseInt(i),"number"==typeof(Ai=A[i])){if(Ai){if(0===ret.length)for(i=n+1;i>=0;--i)ret[i]=[];for(i=n;i>=0;--i)ret[i].push(k[i]);ret[n+1].push(Ai)}}else gather(Ai,ret,k);return k.length>n&&k.pop(),ret},numeric.cLU=function(A){var i,j,k,a,b,c,I=A[0],J=A[1],V=A[2],p=I.length,m=0;for(i=0;i<p;i++)I[i]>m&&(m=I[i]);m++;var alpha,L=Array(m),U=Array(m),left=numeric.rep([m],1/0),right=numeric.rep([m],-1/0);for(k=0;k<p;k++)i=I[k],(j=J[k])<left[i]&&(left[i]=j),j>right[i]&&(right[i]=j);for(i=0;i<m-1;i++)right[i]>right[i+1]&&(right[i+1]=right[i]);for(i=m-1;i>=1;i--)left[i]<left[i-1]&&(left[i-1]=left[i]);var countL=0,countU=0;for(i=0;i<m;i++)U[i]=numeric.rep([right[i]-left[i]+1],0),L[i]=numeric.rep([i-left[i]],0),countL+=i-left[i]+1,countU+=right[i]-i+1;for(k=0;k<p;k++)U[i=I[k]][J[k]-left[i]]=V[k];for(i=0;i<m-1;i++)for(a=i-left[i],Ui=U[i],j=i+1;left[j]<=i&&j<m;j++)if(b=i-left[j],c=right[i]-i,Uj=U[j],alpha=Uj[b]/Ui[a]){for(k=1;k<=c;k++)Uj[k+b]-=alpha*Ui[k+a];L[j][i-left[j]]=alpha}var q,foo,Ui=[],Uj=[],Uv=[],Li=[],Lj=[],Lv=[];for(p=0,q=0,i=0;i<m;i++){for(a=left[i],b=right[i],foo=U[i],j=i;j<=b;j++)foo[j-a]&&(Ui[p]=i,Uj[p]=j,Uv[p]=foo[j-a],p++);for(foo=L[i],j=a;j<i;j++)foo[j-a]&&(Li[q]=i,Lj[q]=j,Lv[q]=foo[j-a],q++);Li[q]=i,Lj[q]=i,Lv[q]=1,q++}return{U:[Ui,Uj,Uv],L:[Li,Lj,Lv]}},numeric.cLUsolve=function(lu,b){var i,k,L=lu.L,U=lu.U,ret=numeric.clone(b),Li=L[0],Lj=L[1],Lv=L[2],Ui=U[0],Uj=U[1],Uv=U[2],p=Ui.length,m=(Li.length,ret.length);for(k=0,i=0;i<m;i++){for(;Lj[k]<i;)ret[i]-=Lv[k]*ret[Lj[k]],k++;k++}for(k=p-1,i=m-1;i>=0;i--){for(;Uj[k]>i;)ret[i]-=Uv[k]*ret[Uj[k]],k--;ret[i]/=Uv[k],k--}return ret},numeric.cgrid=function(n,shape){"number"==typeof n&&(n=[n,n]);var i,j,count,ret=numeric.rep(n,-1);if("function"!=typeof shape)switch(shape){case"L":shape=function(i,j){return i>=n[0]/2||j<n[1]/2};break;default:shape=function(i,j){return!0}}for(count=0,i=1;i<n[0]-1;i++)for(j=1;j<n[1]-1;j++)shape(i,j)&&(ret[i][j]=count,count++);return ret},numeric.cdelsq=function(g){var i,j,k,p,q,dir=[[-1,0],[0,-1],[0,1],[1,0]],s=numeric.dim(g),m=s[0],n=s[1],Li=[],Lj=[],Lv=[];for(i=1;i<m-1;i++)for(j=1;j<n-1;j++)if(!(g[i][j]<0)){for(k=0;k<4;k++)p=i+dir[k][0],q=j+dir[k][1],g[p][q]<0||(Li.push(g[i][j]),Lj.push(g[p][q]),Lv.push(-1));Li.push(g[i][j]),Lj.push(g[i][j]),Lv.push(4)}return[Li,Lj,Lv]},numeric.cdotMV=function(A,x){var ret,k,N,Ai=A[0],Aj=A[1],Av=A[2],p=Ai.length;for(N=0,k=0;k<p;k++)Ai[k]>N&&(N=Ai[k]);for(N++,ret=numeric.rep([N],0),k=0;k<p;k++)ret[Ai[k]]+=Av[k]*x[Aj[k]];return ret},numeric.Spline=function(x,yl,yr,kl,kr){this.x=x,this.yl=yl,this.yr=yr,this.kl=kl,this.kr=kr},numeric.Spline.prototype._at=function(x1,p){var x1,a,b,t,x=this.x,yl=this.yl,yr=this.yr,kl=this.kl,kr=this.kr,add=numeric.add,sub=numeric.sub,mul=numeric.mul;a=sub(mul(kl[p],x[p+1]-x[p]),sub(yr[p+1],yl[p])),b=add(mul(kr[p+1],x[p]-x[p+1]),sub(yr[p+1],yl[p]));var s=(t=(x1-x[p])/(x[p+1]-x[p]))*(1-t);return add(add(add(mul(1-t,yl[p]),mul(t,yr[p+1])),mul(a,s*(1-t))),mul(b,s*t))},numeric.Spline.prototype.at=function(x0){if("number"==typeof x0){var p,q,mid,x=this.x,n=x.length,floor=Math.floor;for(p=0,q=n-1;q-p>1;)x[mid=floor((p+q)/2)]<=x0?p=mid:q=mid;return this._at(x0,p)}var i,n=x0.length,ret=Array(n);for(i=n-1;-1!==i;--i)ret[i]=this.at(x0[i]);return ret},numeric.Spline.prototype.diff=function(){var i,dx,dy,x=this.x,yl=this.yl,yr=this.yr,kl=this.kl,kr=this.kr,n=yl.length,zl=kl,zr=kr,pl=Array(n),pr=Array(n),add=numeric.add,mul=numeric.mul,div=numeric.div,sub=numeric.sub;for(i=n-1;-1!==i;--i)dx=x[i+1]-x[i],dy=sub(yr[i+1],yl[i]),pl[i]=div(add(mul(dy,6),mul(kl[i],-4*dx),mul(kr[i+1],-2*dx)),dx*dx),pr[i+1]=div(add(mul(dy,-6),mul(kl[i],2*dx),mul(kr[i+1],4*dx)),dx*dx);return new numeric.Spline(x,zl,zr,pl,pr)},numeric.Spline.prototype.roots=function(){var ret=[],x=this.x,yl=this.yl,yr=this.yr,kl=this.kl,kr=this.kr;"number"==typeof yl[0]&&(yl=[yl],yr=[yr],kl=[kl],kr=[kr]);var i,j,k,ai,bi,ci,di,ri,k0,k1,y0,y1,A,B,D,dx,stops,z0,z1,zm,t0,t1,tm,m=yl.length,n=x.length-1,ret=Array(m),sqrt=Math.sqrt;for(i=0;i!==m;++i){for(ai=yl[i],bi=yr[i],ci=kl[i],di=kr[i],ri=[],j=0;j!==n;j++){for(j>0&&bi[j]*ai[j]<0&&ri.push(x[j]),dx=x[j+1]-x[j],x[j],y0=ai[j],y1=bi[j+1],k0=ci[j]/dx,A=(k1=di[j+1]/dx)+3*y0+2*k0-3*y1,B=3*(k1+k0+2*(y0-y1)),(D=function(x){return x*x}(k0-k1+3*(y0-y1))+12*k1*y0)<=0?stops=(z0=A/B)>x[j]&&z0<x[j+1]?[x[j],z0,x[j+1]]:[x[j],x[j+1]]:(z0=(A-sqrt(D))/B,z1=(A+sqrt(D))/B,stops=[x[j]],z0>x[j]&&z0<x[j+1]&&stops.push(z0),z1>x[j]&&z1<x[j+1]&&stops.push(z1),stops.push(x[j+1])),t0=stops[0],z0=this._at(t0,j),k=0;k<stops.length-1;k++)if(t1=stops[k+1],z1=this._at(t1,j),0!==z0)if(0===z1||z0*z1>0)t0=t1,z0=z1;else{for(var side=0;;){if((tm=(z0*t1-z1*t0)/(z0-z1))<=t0||tm>=t1)break;if((zm=this._at(tm,j))*z1>0)t1=tm,z1=zm,-1===side&&(z0*=.5),side=-1;else{if(!(zm*z0>0))break;t0=tm,z0=zm,1===side&&(z1*=.5),side=1}}ri.push(tm),t0=stops[k+1],z0=this._at(t0,j)}else ri.push(t0),t0=t1,z0=z1;0===z1&&ri.push(t1)}ret[i]=ri}return"number"==typeof this.yl[0]?ret[0]:ret},numeric.spline=function(x,y,k1,kn){var i,n=x.length,b=[],dx=[],dy=[],sub=numeric.sub,mul=numeric.mul,add=numeric.add;for(i=n-2;i>=0;i--)dx[i]=x[i+1]-x[i],dy[i]=sub(y[i+1],y[i]);"string"!=typeof k1&&"string"!=typeof kn||(k1=kn="periodic");var T=[[],[],[]];switch(typeof k1){case"undefined":b[0]=mul(3/(dx[0]*dx[0]),dy[0]),T[0].push(0,0),T[1].push(0,1),T[2].push(2/dx[0],1/dx[0]);break;case"string":b[0]=add(mul(3/(dx[n-2]*dx[n-2]),dy[n-2]),mul(3/(dx[0]*dx[0]),dy[0])),T[0].push(0,0,0),T[1].push(n-2,0,1),T[2].push(1/dx[n-2],2/dx[n-2]+2/dx[0],1/dx[0]);break;default:b[0]=k1,T[0].push(0),T[1].push(0),T[2].push(1)}for(i=1;i<n-1;i++)b[i]=add(mul(3/(dx[i-1]*dx[i-1]),dy[i-1]),mul(3/(dx[i]*dx[i]),dy[i])),T[0].push(i,i,i),T[1].push(i-1,i,i+1),T[2].push(1/dx[i-1],2/dx[i-1]+2/dx[i],1/dx[i]);switch(typeof kn){case"undefined":b[n-1]=mul(3/(dx[n-2]*dx[n-2]),dy[n-2]),T[0].push(n-1,n-1),T[1].push(n-2,n-1),T[2].push(1/dx[n-2],2/dx[n-2]);break;case"string":T[1][T[1].length-1]=0;break;default:b[n-1]=kn,T[0].push(n-1),T[1].push(n-1),T[2].push(1)}b="number"!=typeof b[0]?numeric.transpose(b):[b];var k=Array(b.length);if("string"==typeof k1)for(i=k.length-1;-1!==i;--i)k[i]=numeric.ccsLUPSolve(numeric.ccsLUP(numeric.ccsScatter(T)),b[i]),k[i][n-1]=k[i][0];else for(i=k.length-1;-1!==i;--i)k[i]=numeric.cLUsolve(numeric.cLU(T),b[i]);return k="number"==typeof y[0]?k[0]:numeric.transpose(k),new numeric.Spline(x,y,y,k,k)},numeric.fftpow2=function fftpow2(x,y){var n=x.length;if(1!==n){var i,j,cos=Math.cos,sin=Math.sin,xe=Array(n/2),ye=Array(n/2),xo=Array(n/2),yo=Array(n/2);for(j=n/2,i=n-1;-1!==i;--i)xo[--j]=x[i],yo[j]=y[i],--i,xe[j]=x[i],ye[j]=y[i];fftpow2(xe,ye),fftpow2(xo,yo),j=n/2;var t,ci,si,k=-6.283185307179586/n;for(i=n-1;-1!==i;--i)-1===--j&&(j=n/2-1),ci=cos(t=k*i),si=sin(t),x[i]=xe[j]+ci*xo[j]-si*yo[j],y[i]=ye[j]+ci*yo[j]+si*xo[j]}},numeric._ifftpow2=function _ifftpow2(x,y){var n=x.length;if(1!==n){var i,j,cos=Math.cos,sin=Math.sin,xe=Array(n/2),ye=Array(n/2),xo=Array(n/2),yo=Array(n/2);for(j=n/2,i=n-1;-1!==i;--i)xo[--j]=x[i],yo[j]=y[i],--i,xe[j]=x[i],ye[j]=y[i];_ifftpow2(xe,ye),_ifftpow2(xo,yo),j=n/2;var t,ci,si,k=6.283185307179586/n;for(i=n-1;-1!==i;--i)-1===--j&&(j=n/2-1),ci=cos(t=k*i),si=sin(t),x[i]=xe[j]+ci*xo[j]-si*yo[j],y[i]=ye[j]+ci*yo[j]+si*xo[j]}},numeric.ifftpow2=function(x,y){numeric._ifftpow2(x,y),numeric.diveq(x,x.length),numeric.diveq(y,y.length)},numeric.convpow2=function(ax,ay,bx,by){numeric.fftpow2(ax,ay),numeric.fftpow2(bx,by);var i,axi,bxi,ayi,byi;for(i=ax.length-1;-1!==i;--i)axi=ax[i],ayi=ay[i],bxi=bx[i],byi=by[i],ax[i]=axi*bxi-ayi*byi,ay[i]=axi*byi+ayi*bxi;numeric.ifftpow2(ax,ay)},numeric.T.prototype.fft=function(){var k,t,x=this.x,y=this.y,n=x.length,log=Math.log,log2=log(2),p=Math.ceil(log(2*n-1)/log2),m=Math.pow(2,p),cx=numeric.rep([m],0),cy=numeric.rep([m],0),cos=Math.cos,sin=Math.sin,c=-3.141592653589793/n,a=numeric.rep([m],0),b=numeric.rep([m],0);Math.floor(n/2);for(k=0;k<n;k++)a[k]=x[k];if(void 0!==y)for(k=0;k<n;k++)b[k]=y[k];for(cx[0]=1,k=1;k<=m/2;k++)t=c*k*k,cx[k]=cos(t),cy[k]=sin(t),cx[m-k]=cos(t),cy[m-k]=sin(t);var X=new numeric.T(a,b),Y=new numeric.T(cx,cy);return X=X.mul(Y),numeric.convpow2(X.x,X.y,numeric.clone(Y.x),numeric.neg(Y.y)),X=X.mul(Y),X.x.length=n,X.y.length=n,X},numeric.T.prototype.ifft=function(){var k,t,x=this.x,y=this.y,n=x.length,log=Math.log,log2=log(2),p=Math.ceil(log(2*n-1)/log2),m=Math.pow(2,p),cx=numeric.rep([m],0),cy=numeric.rep([m],0),cos=Math.cos,sin=Math.sin,c=3.141592653589793/n,a=numeric.rep([m],0),b=numeric.rep([m],0);Math.floor(n/2);for(k=0;k<n;k++)a[k]=x[k];if(void 0!==y)for(k=0;k<n;k++)b[k]=y[k];for(cx[0]=1,k=1;k<=m/2;k++)t=c*k*k,cx[k]=cos(t),cy[k]=sin(t),cx[m-k]=cos(t),cy[m-k]=sin(t);var X=new numeric.T(a,b),Y=new numeric.T(cx,cy);return X=X.mul(Y),numeric.convpow2(X.x,X.y,numeric.clone(Y.x),numeric.neg(Y.y)),X=X.mul(Y),X.x.length=n,X.y.length=n,X.div(n)},numeric.gradient=function(f,x){var n=x.length,f0=f(x);if(isNaN(f0))throw new Error("gradient: f(x) is a NaN!");var i,f1,f2,t0,t1,t2,d1,d2,N,max=Math.max,x0=numeric.clone(x),J=Array(n),max=(numeric.div,numeric.sub,Math.max),abs=Math.abs,min=Math.min,it=0;for(i=0;i<n;i++)for(var h=max(1e-6*f0,1e-8);;){if(++it>20)throw new Error("Numerical gradient fails");if(x0[i]=x[i]+h,f1=f(x0),x0[i]=x[i]-h,f2=f(x0),x0[i]=x[i],isNaN(f1)||isNaN(f2))h/=16;else{if(J[i]=(f1-f2)/(2*h),t0=x[i]-h,t1=x[i],t2=x[i]+h,d1=(f1-f0)/h,d2=(f0-f2)/h,N=max(abs(J[i]),abs(f0),abs(f1),abs(f2),abs(t0),abs(t1),abs(t2),1e-8),!(min(max(abs(d1-J[i]),abs(d2-J[i]),abs(d1-d2))/N,h/N)>.001))break;h/=16}}return J},numeric.uncmin=function(f,x0,tol,gradient,maxit,callback,options){var grad=numeric.gradient;void 0===options&&(options={}),void 0===tol&&(tol=1e-8),void 0===gradient&&(gradient=function(x){return grad(f,x)}),void 0===maxit&&(maxit=1e3);var f1,df0,n=(x0=numeric.clone(x0)).length,f0=f(x0);if(isNaN(f0))throw new Error("uncmin: f(x0) is a NaN!");var max=Math.max,norm2=numeric.norm2;tol=max(tol,numeric.epsilon);var step,g0,g1,s,x1,y,Hy,ys,t,nstep,H1=options.Hinv||numeric.identity(n),dot=numeric.dot,sub=(numeric.inv,numeric.sub),add=numeric.add,ten=numeric.tensor,div=numeric.div,mul=numeric.mul,all=numeric.all,isfinite=numeric.isFinite,neg=numeric.neg,it=0,msg="";for(g0=gradient(x0);it<maxit;){if("function"==typeof callback&&callback(it,x0,f0,g0,H1)){msg="Callback returned true";break}if(!all(isfinite(g0))){msg="Gradient has Infinity or NaN";break}if(step=neg(dot(H1,g0)),!all(isfinite(step))){msg="Search direction has Infinity or NaN";break}if((nstep=norm2(step))<tol){msg="Newton step smaller than tol";break}for(t=1,df0=dot(g0,step),x1=x0;it<maxit&&!(t*nstep<tol)&&(x1=add(x0,s=mul(step,t)),(f1=f(x1))-f0>=.1*t*df0||isNaN(f1));)t*=.5,++it;if(t*nstep<tol){msg="Line search step size smaller than tol";break}if(it===maxit){msg="maxit reached during line search";break}H1=sub(add(H1,mul(((ys=dot(y=sub(g1=gradient(x1),g0),s))+dot(y,Hy=dot(H1,y)))/(ys*ys),ten(s,s))),div(add(ten(Hy,s),ten(s,Hy)),ys)),x0=x1,f0=f1,g0=g1,++it}return{solution:x0,f:f0,gradient:g0,invHessian:H1,iterations:it,message:msg}},numeric.Dopri=function(x,y,f,ymid,iterations,msg,events){this.x=x,this.y=y,this.f=f,this.ymid=ymid,this.iterations=iterations,this.events=events,this.message=msg},numeric.Dopri.prototype._at=function(xi,j){function sqr(x){return x*x}var x0,x1,xh,y0,y1,yh,xi,h,p,q,w,sol=this,xs=sol.x,ys=sol.y,k1=sol.f,ymid=sol.ymid,add=(xs.length,Math.floor,numeric.add),mul=numeric.mul,sub=numeric.sub;return x0=xs[j],x1=xs[j+1],y0=ys[j],y1=ys[j+1],h=x1-x0,xh=x0+.5*h,yh=ymid[j],p=sub(k1[j],mul(y0,1/(x0-xh)+2/(x0-x1))),q=sub(k1[j+1],mul(y1,1/(x1-xh)+2/(x1-x0))),w=[sqr(xi-x1)*(xi-xh)/sqr(x0-x1)/(x0-xh),sqr(xi-x0)*sqr(xi-x1)/sqr(x0-xh)/sqr(x1-xh),sqr(xi-x0)*(xi-xh)/sqr(x1-x0)/(x1-xh),(xi-x0)*sqr(xi-x1)*(xi-xh)/sqr(x0-x1)/(x0-xh),(xi-x1)*sqr(xi-x0)*(xi-xh)/sqr(x0-x1)/(x1-xh)],add(add(add(add(mul(y0,w[0]),mul(yh,w[1])),mul(y1,w[2])),mul(p,w[3])),mul(q,w[4]))},numeric.Dopri.prototype.at=function(x){var i,j,k,floor=Math.floor;if("number"!=typeof x){var n=x.length,ret=Array(n);for(i=n-1;-1!==i;--i)ret[i]=this.at(x[i]);return ret}var x0=this.x;for(i=0,j=x0.length-1;j-i>1;)x0[k=floor(.5*(i+j))]<=x?i=k:j=k;return this._at(x,i)},numeric.dopri=function(x0,x1,y0,f,tol,maxit,event){void 0===tol&&(tol=1e-6),void 0===maxit&&(maxit=1e3);var k2,k3,k4,k5,k6,k7,er,j,y1,erinf,e0,e1,ev,xs=[x0],ys=[y0],k1=[f(x0,y0)],ymid=[],A3=[.075,.225],A4=[44/45,-56/15,32/9],A5=[19372/6561,-25360/2187,64448/6561,-212/729],A6=[9017/3168,-355/33,46732/5247,49/176,-5103/18656],b=[35/384,0,500/1113,125/192,-2187/6784,11/84],bm=[.10013431883002395,0,.3918321794184259,-.02982460176594817,.05893268337240795,-.04497888809104361,.023904308236133973],c=[.2,.3,.8,8/9,1,1],e=[-71/57600,0,71/16695,-71/1920,17253/339200,-22/525,.025],i=0,h=(x1-x0)/10,it=0,add=numeric.add,mul=numeric.mul,min=(Math.max,Math.min),abs=Math.abs,norminf=numeric.norminf,pow=Math.pow,any=numeric.any,lt=numeric.lt,and=numeric.and,ret=(numeric.sub,new numeric.Dopri(xs,ys,k1,ymid,-1,""));for("function"==typeof event&&(e0=event(x0,y0));x0<x1&&it<maxit;)if(++it,x0+h>x1&&(h=x1-x0),k2=f(x0+c[0]*h,add(y0,mul(.2*h,k1[i]))),k3=f(x0+c[1]*h,add(add(y0,mul(A3[0]*h,k1[i])),mul(A3[1]*h,k2))),k4=f(x0+c[2]*h,add(add(add(y0,mul(A4[0]*h,k1[i])),mul(A4[1]*h,k2)),mul(A4[2]*h,k3))),k5=f(x0+c[3]*h,add(add(add(add(y0,mul(A5[0]*h,k1[i])),mul(A5[1]*h,k2)),mul(A5[2]*h,k3)),mul(A5[3]*h,k4))),k6=f(x0+c[4]*h,add(add(add(add(add(y0,mul(A6[0]*h,k1[i])),mul(A6[1]*h,k2)),mul(A6[2]*h,k3)),mul(A6[3]*h,k4)),mul(A6[4]*h,k5))),y1=add(add(add(add(add(y0,mul(k1[i],h*b[0])),mul(k3,h*b[2])),mul(k4,h*b[3])),mul(k5,h*b[4])),mul(k6,h*b[5])),k7=f(x0+h,y1),er=add(add(add(add(add(mul(k1[i],h*e[0]),mul(k3,h*e[2])),mul(k4,h*e[3])),mul(k5,h*e[4])),mul(k6,h*e[5])),mul(k7,h*e[6])),(erinf="number"==typeof er?abs(er):norminf(er))>tol){if(h=.2*h*pow(tol/erinf,.25),x0+h===x0){ret.msg="Step size became too small";break}}else{if(ymid[i]=add(add(add(add(add(add(y0,mul(k1[i],h*bm[0])),mul(k3,h*bm[2])),mul(k4,h*bm[3])),mul(k5,h*bm[4])),mul(k6,h*bm[5])),mul(k7,h*bm[6])),++i,xs[i]=x0+h,ys[i]=y1,k1[i]=k7,"function"==typeof event){var yi,xi,xl=x0,xr=x0+.5*h;if(e1=event(xr,ymid[i-1]),ev=and(lt(e0,0),lt(0,e1)),any(ev)||(xl=xr,e0=e1,e1=event(xr=x0+h,y1),ev=and(lt(e0,0),lt(0,e1))),any(ev)){for(var en,ei,side=0,sl=1,sr=1;;){if("number"==typeof e0)xi=(sr*e1*xl-sl*e0*xr)/(sr*e1-sl*e0);else for(xi=xr,j=e0.length-1;-1!==j;--j)e0[j]<0&&e1[j]>0&&(xi=min(xi,(sr*e1[j]*xl-sl*e0[j]*xr)/(sr*e1[j]-sl*e0[j])));if(xi<=xl||xi>=xr)break;ei=event(xi,yi=ret._at(xi,i-1)),any(en=and(lt(e0,0),lt(0,ei)))?(xr=xi,e1=ei,ev=en,sr=1,-1===side?sl*=.5:sl=1,side=-1):(xl=xi,e0=ei,sl=1,1===side?sr*=.5:sr=1,side=1)}return y1=ret._at(.5*(x0+xi),i-1),ret.f[i]=f(xi,yi),ret.x[i]=xi,ret.y[i]=yi,ret.ymid[i-1]=y1,ret.events=ev,ret.iterations=it,ret}}x0+=h,y0=y1,e0=e1,h=min(.8*h*pow(tol/erinf,.25),4*h)}return ret.iterations=it,ret},numeric.LU=function(A,fast){fast=fast||!1;var i,j,k,absAjk,Akk,Ak,Pk,Ai,max,abs=Math.abs,n=A.length,n1=n-1,P=new Array(n);for(fast||(A=numeric.clone(A)),k=0;k<n;++k){for(Pk=k,max=abs((Ak=A[k])[k]),j=k+1;j<n;++j)max<(absAjk=abs(A[j][k]))&&(max=absAjk,Pk=j);for(P[k]=Pk,Pk!=k&&(A[k]=A[Pk],A[Pk]=Ak,Ak=A[k]),Akk=Ak[k],i=k+1;i<n;++i)A[i][k]/=Akk;for(i=k+1;i<n;++i){for(Ai=A[i],j=k+1;j<n1;++j)Ai[j]-=Ai[k]*Ak[j],Ai[++j]-=Ai[k]*Ak[j];j===n1&&(Ai[j]-=Ai[k]*Ak[j])}}return{LU:A,P:P}},numeric.LUsolve=function(LUP,b){var i,j,Pi,LUi,tmp,LU=LUP.LU,n=LU.length,x=numeric.clone(b),P=LUP.P;for(i=n-1;-1!==i;--i)x[i]=b[i];for(i=0;i<n;++i)for(Pi=P[i],P[i]!==i&&(tmp=x[i],x[i]=x[Pi],x[Pi]=tmp),LUi=LU[i],j=0;j<i;++j)x[i]-=x[j]*LUi[j];for(i=n-1;i>=0;--i){for(LUi=LU[i],j=i+1;j<n;++j)x[i]-=x[j]*LUi[j];x[i]/=LUi[i]}return x},numeric.solve=function(A,b,fast){return numeric.LUsolve(numeric.LU(A,fast),b)},numeric.echelonize=function(A){var i,j,k,l,Ai,Ii,Z,a,s=numeric.dim(A),m=s[0],n=s[1],I=numeric.identity(m),P=Array(m),abs=Math.abs,diveq=numeric.diveq;for(A=numeric.clone(A),i=0;i<m;++i){for(k=0,Ai=A[i],Ii=I[i],j=1;j<n;++j)abs(Ai[k])<abs(Ai[j])&&(k=j);for(P[i]=k,diveq(Ii,Ai[k]),diveq(Ai,Ai[k]),j=0;j<m;++j)if(j!==i){for(a=(Z=A[j])[k],l=n-1;-1!==l;--l)Z[l]-=Ai[l]*a;for(Z=I[j],l=m-1;-1!==l;--l)Z[l]-=Ii[l]*a}}return{I:I,A:A,P:P}},numeric.__solveLP=function(c,A,b,tol,maxit,x,flag){var y,H,count,g,sum=numeric.sum,mul=(numeric.log,numeric.mul),sub=numeric.sub,dot=numeric.dot,div=numeric.div,add=numeric.add,m=c.length,n=b.length,unbounded=!1,alpha=1,transpose=(numeric.transpose(A),numeric.svd,numeric.transpose),sqrt=(numeric.leq,Math.sqrt),abs=Math.abs,min=(numeric.muleq,numeric.norminf,numeric.any,Math.min),all=numeric.all,gt=numeric.gt,p=Array(m),A0=Array(n),solve=(numeric.rep([n],1),numeric.solve),z=sub(b,dot(A,x)),dotcc=dot(c,c);for(count=0;count<maxit;++count){var i,d;for(i=n-1;-1!==i;--i)A0[i]=div(A[i],z[i]);var A1=transpose(A0);for(i=m-1;-1!==i;--i)p[i]=sum(A1[i]);alpha=.25*abs(dotcc/dot(c,p));var a1=100*sqrt(dotcc/dot(p,p));for((!isFinite(alpha)||alpha>a1)&&(alpha=a1),g=add(c,mul(alpha,p)),H=dot(A1,A0),i=m-1;-1!==i;--i)H[i][i]+=1;var t0=div(z,dot(A,d=solve(H,div(g,alpha),!0))),t=1;for(i=n-1;-1!==i;--i)t0[i]<0&&(t=min(t,-.999*t0[i]));if(y=sub(x,mul(d,t)),z=sub(b,dot(A,y)),!all(gt(z,0)))return{solution:x,message:"",iterations:count};if(x=y,alpha<tol)return{solution:y,message:"",iterations:count};if(flag){var s=dot(c,g),Ag=dot(A,g);for(unbounded=!0,i=n-1;-1!==i;--i)if(s*Ag[i]<0){unbounded=!1;break}}else unbounded=!(x[m-1]>=0);if(unbounded)return{solution:y,message:"Unbounded",iterations:count}}return{solution:x,message:"maximum iteration count exceeded",iterations:count}},numeric._solveLP=function(c,A,b,tol,maxit){var m=c.length,n=b.length,sub=(numeric.sum,numeric.log,numeric.mul,numeric.sub),dot=numeric.dot,c0=(numeric.div,numeric.add,numeric.rep([m],0).concat([1])),J=numeric.rep([n,1],-1),A0=numeric.blockMatrix([[A,J]]),b0=b,y=numeric.rep([m],0).concat(Math.max(0,numeric.sup(numeric.neg(b)))+1),x0=numeric.__solveLP(c0,A0,b0,tol,maxit,y,!1),x=numeric.clone(x0.solution);if(x.length=m,numeric.inf(sub(b,dot(A,x)))<0)return{solution:NaN,message:"Infeasible",iterations:x0.iterations};var ret=numeric.__solveLP(c,A,b,tol,maxit-x0.iterations,x,!0);return ret.iterations+=x0.iterations,ret},numeric.solveLP=function(c,A,b,Aeq,beq,tol,maxit){if(void 0===maxit&&(maxit=1e3),void 0===tol&&(tol=numeric.epsilon),void 0===Aeq)return numeric._solveLP(c,A,b,tol,maxit);var i,m=Aeq.length,n=Aeq[0].length,o=A.length,B=numeric.echelonize(Aeq),flags=numeric.rep([n],0),P=B.P,Q=[];for(i=P.length-1;-1!==i;--i)flags[P[i]]=1;for(i=n-1;-1!==i;--i)0===flags[i]&&Q.push(i);var g=numeric.getRange,I=numeric.linspace(0,m-1),J=numeric.linspace(0,o-1),Aeq2=g(Aeq,I,Q),A1=g(A,J,P),A2=g(A,J,Q),dot=numeric.dot,sub=numeric.sub,A3=dot(A1,B.I),A4=sub(A2,dot(A3,Aeq2)),b4=sub(b,dot(A3,beq)),c1=Array(P.length),c2=Array(Q.length);for(i=P.length-1;-1!==i;--i)c1[i]=c[P[i]];for(i=Q.length-1;-1!==i;--i)c2[i]=c[Q[i]];var c4=sub(c2,dot(c1,dot(B.I,Aeq2))),S=numeric._solveLP(c4,A4,b4,tol,maxit),x2=S.solution;if(x2!==x2)return S;var x1=dot(B.I,sub(beq,dot(Aeq2,x2))),x=Array(c.length);for(i=P.length-1;-1!==i;--i)x[P[i]]=x1[i];for(i=Q.length-1;-1!==i;--i)x[Q[i]]=x2[i];return{solution:x,message:S.message,iterations:S.iterations}},numeric.MPStoLP=function(MPS){function err(e){throw new Error("MPStoLP: "+e+"\nLine "+i+": "+MPS[i]+"\nCurrent state: "+states[state]+"\n")}MPS instanceof String&&MPS.split("\n");var i,j,z,name,state=0,states=["Initial state","NAME","ROWS","COLUMNS","RHS","BOUNDS","ENDATA"],n=MPS.length,N=0,rows={},sign=[],rl=0,vars={},nv=0,c=[],A=[],b=[];for(i=0;i<n;++i){var w0=(z=MPS[i]).match(/\S*/g),w=[];for(j=0;j<w0.length;++j)""!==w0[j]&&w.push(w0[j]);if(0!==w.length){for(j=0;j<states.length&&z.substr(0,states[j].length)!==states[j];++j);if(j<states.length){if(state=j,1===j&&(name=w[1]),6===j)return{name:name,c:c,A:numeric.transpose(A),b:b,rows:rows,vars:vars}}else switch(state){case 0:case 1:err("Unexpected line");case 2:switch(w[0]){case"N":0===N?N=w[1]:err("Two or more N rows");break;case"L":rows[w[1]]=rl,sign[rl]=1,b[rl]=0,++rl;break;case"G":rows[w[1]]=rl,sign[rl]=-1,b[rl]=0,++rl;break;case"E":rows[w[1]]=rl,sign[rl]=0,b[rl]=0,++rl;break;default:err("Parse error "+numeric.prettyPrint(w))}break;case 3:vars.hasOwnProperty(w[0])||(vars[w[0]]=nv,c[nv]=0,A[nv]=numeric.rep([rl],0),++nv);var p=vars[w[0]];for(j=1;j<w.length;j+=2)if(w[j]!==N){var q=rows[w[j]];A[p][q]=(sign[q]<0?-1:1)*parseFloat(w[j+1])}else c[p]=parseFloat(w[j+1]);break;case 4:for(j=1;j<w.length;j+=2)b[rows[w[j]]]=(sign[rows[w[j]]]<0?-1:1)*parseFloat(w[j+1]);break;case 5:break;case 6:err("Internal error")}}}err("Reached end of file without ENDATA")},numeric.seedrandom={pow:Math.pow,random:Math.random},function(pool,math,width,chunks,significance,overflow,startdenom){function ARC4(key){var t,u,me=this,keylen=key.length,i=0,j=me.i=me.j=me.m=0;for(me.S=[],me.c=[],keylen||(key=[keylen++]);i<width;)me.S[i]=i++;for(i=0;i<width;i++)j=lowbits(j+(t=me.S[i])+key[i%keylen]),u=me.S[j],me.S[i]=u,me.S[j]=t;me.g=function(count){var s=me.S,i=lowbits(me.i+1),t=s[i],j=lowbits(me.j+t),u=s[j];s[i]=u,s[j]=t;for(var r=s[lowbits(t+u)];--count;)u=s[j=lowbits(j+(t=s[i=lowbits(i+1)]))],s[i]=u,s[j]=t,r=r*width+s[lowbits(t+u)];return me.i=i,me.j=j,r},me.g(width)}function flatten(obj,depth,result,prop,typ){if(result=[],typ=typeof obj,depth&&"object"==typ)for(prop in obj)if(prop.indexOf("S")<5)try{result.push(flatten(obj[prop],depth-1))}catch(e){}return result.length?result:obj+("string"!=typ?"\0":"")}function mixkey(seed,key,smear,j){for(seed+="",smear=0,j=0;j<seed.length;j++)key[lowbits(j)]=lowbits((smear^=19*key[lowbits(j)])+seed.charCodeAt(j));seed="";for(j in key)seed+=String.fromCharCode(key[j]);return seed}function lowbits(n){return n&width-1}math.seedrandom=function(seed,use_entropy){var arc4,key=[];return seed=mixkey(flatten(use_entropy?[seed,pool]:arguments.length?seed:[(new Date).getTime(),pool,window],3),key),arc4=new ARC4(key),mixkey(arc4.S,pool),math.random=function(){for(var n=arc4.g(6),d=startdenom,x=0;n<significance;)n=(n+x)*width,d*=width,x=arc4.g(1);for(;n>=overflow;)n/=2,d/=2,x>>>=1;return(n+x)/d},seed},startdenom=math.pow(width,6),significance=math.pow(2,significance),overflow=2*significance,mixkey(math.random(),pool)}([],numeric.seedrandom,256,0,52),function(exports){function base0to1(A){if("object"!=typeof A)return A;var i,ret=[],n=A.length;for(i=0;i<n;i++)ret[i+1]=base0to1(A[i]);return ret}function base1to0(A){if("object"!=typeof A)return A;var i,ret=[],n=A.length;for(i=1;i<n;i++)ret[i-1]=base1to0(A[i]);return ret}function dpori(a,lda,n){var i,j,k,kp1,t;for(k=1;k<=n;k+=1){for(a[k][k]=1/a[k][k],t=-a[k][k],i=1;i<k;i+=1)a[i][k]=t*a[i][k];if(kp1=k+1,n<kp1)break;for(j=kp1;j<=n;j+=1)for(t=a[k][j],a[k][j]=0,i=1;i<=k;i+=1)a[i][j]=a[i][j]+t*a[i][k]}}function dposl(a,lda,n,b){var i,k,kb,t;for(k=1;k<=n;k+=1){for(t=0,i=1;i<k;i+=1)t+=a[i][k]*b[i];b[k]=(b[k]-t)/a[k][k]}for(kb=1;kb<=n;kb+=1)for(b[k=n+1-kb]=b[k]/a[k][k],t=-b[k],i=1;i<k;i+=1)b[i]=b[i]+t*a[i][k]}function dpofa(a,lda,n,info){var i,j,jm1,k,t,s;for(j=1;j<=n;j+=1){if(info[1]=j,s=0,(jm1=j-1)<1){if((s=a[j][j]-s)<=0)break;a[j][j]=Math.sqrt(s)}else{for(k=1;k<=jm1;k+=1){for(t=a[k][j],i=1;i<k;i+=1)t-=a[i][j]*a[i][k];t/=a[k][k],a[k][j]=t,s+=t*t}if((s=a[j][j]-s)<=0)break;a[j][j]=Math.sqrt(s)}info[1]=0}}function qpgen2(dmat,dvec,fddmat,n,sol,crval,amat,bvec,fdamat,q,meq,iact,nact,iter,work,ierr){function fn_goto_799(){return work[iwuv+nact]=work[iwuv+nact+1],work[iwuv+nact+1]=0,iact[nact]=0,nact-=1,iter[2]=iter[2]+1,0}var i,j,l,l1,info,it1,iwzv,iwrv,iwrm,iwsv,iwuv,nvl,r,iwnbv,temp,sum,t1,tt,gc,gs,nu,t1inf,t2min,vsmall,tmpa,tmpb,go;r=Math.min(n,q),l=2*n+r*(r+5)/2+2*q+1,vsmall=1e-60;do{tmpa=1+.1*(vsmall+=vsmall),tmpb=1+.2*vsmall}while(tmpa<=1||tmpb<=1);for(i=1;i<=n;i+=1)work[i]=dvec[i];for(i=n+1;i<=l;i+=1)work[i]=0;for(i=1;i<=q;i+=1)iact[i]=0;if(info=[],0===ierr[1]){if(dpofa(dmat,fddmat,n,info),0!==info[1])return void(ierr[1]=2);dposl(dmat,fddmat,n,dvec),dpori(dmat,fddmat,n)}else{for(j=1;j<=n;j+=1)for(sol[j]=0,i=1;i<=j;i+=1)sol[j]=sol[j]+dmat[i][j]*dvec[i];for(j=1;j<=n;j+=1)for(dvec[j]=0,i=j;i<=n;i+=1)dvec[j]=dvec[j]+dmat[j][i]*sol[i]}for(crval[1]=0,j=1;j<=n;j+=1)for(sol[j]=dvec[j],crval[1]=crval[1]+work[j]*sol[j],work[j]=0,i=j+1;i<=n;i+=1)dmat[i][j]=0;for(crval[1]=-crval[1]/2,ierr[1]=0,iwnbv=(iwsv=(iwrm=(iwuv=(iwrv=(iwzv=n)+n)+r)+r+1)+r*(r+1)/2)+q,i=1;i<=q;i+=1){for(sum=0,j=1;j<=n;j+=1)sum+=amat[j][i]*amat[j][i];work[iwnbv+i]=Math.sqrt(sum)}for(nact=0,iter[1]=0,iter[2]=0,go=0;;){if(999===(go=function(){for(iter[1]=iter[1]+1,l=iwsv,i=1;i<=q;i+=1){for(l+=1,sum=-bvec[i],j=1;j<=n;j+=1)sum+=amat[j][i]*sol[j];if(Math.abs(sum)<vsmall&&(sum=0),i>meq)work[l]=sum;else if(work[l]=-Math.abs(sum),sum>0){for(j=1;j<=n;j+=1)amat[j][i]=-amat[j][i];bvec[i]=-bvec[i]}}for(i=1;i<=nact;i+=1)work[iwsv+iact[i]]=0;for(nvl=0,temp=0,i=1;i<=q;i+=1)work[iwsv+i]<temp*work[iwnbv+i]&&(nvl=i,temp=work[iwsv+i]/work[iwnbv+i]);return 0===nvl?999:0}()))return;for(;;){if(0===(go=function(){for(i=1;i<=n;i+=1){for(sum=0,j=1;j<=n;j+=1)sum+=dmat[j][i]*amat[j][nvl];work[i]=sum}for(l1=iwzv,i=1;i<=n;i+=1)work[l1+i]=0;for(j=nact+1;j<=n;j+=1)for(i=1;i<=n;i+=1)work[l1+i]=work[l1+i]+dmat[i][j]*work[j];for(t1inf=!0,i=nact;i>=1;i-=1){for(sum=work[i],l1=(l=iwrm+i*(i+3)/2)-i,j=i+1;j<=nact;j+=1)sum-=work[l]*work[iwrv+j],l+=j;if(sum/=work[l1],work[iwrv+i]=sum,iact[i]<meq)break;if(sum<0)break;t1inf=!1,it1=i}if(!t1inf)for(t1=work[iwuv+it1]/work[iwrv+it1],i=1;i<=nact&&!(iact[i]<meq)&&!(work[iwrv+i]<0);i+=1)(temp=work[iwuv+i]/work[iwrv+i])<t1&&(t1=temp,it1=i);for(sum=0,i=iwzv+1;i<=iwzv+n;i+=1)sum+=work[i]*work[i];if(Math.abs(sum)<=vsmall){if(t1inf)return ierr[1]=1,999;for(i=1;i<=nact;i+=1)work[iwuv+i]=work[iwuv+i]-t1*work[iwrv+i];return work[iwuv+nact+1]=work[iwuv+nact+1]+t1,700}for(sum=0,i=1;i<=n;i+=1)sum+=work[iwzv+i]*amat[i][nvl];for(tt=-work[iwsv+nvl]/sum,t2min=!0,t1inf||t1<tt&&(tt=t1,t2min=!1),i=1;i<=n;i+=1)sol[i]=sol[i]+tt*work[iwzv+i],Math.abs(sol[i])<vsmall&&(sol[i]=0);for(crval[1]=crval[1]+tt*sum*(tt/2+work[iwuv+nact+1]),i=1;i<=nact;i+=1)work[iwuv+i]=work[iwuv+i]-tt*work[iwrv+i];if(work[iwuv+nact+1]=work[iwuv+nact+1]+tt,!t2min){for(sum=-bvec[nvl],j=1;j<=n;j+=1)sum+=sol[j]*amat[j][nvl];if(nvl>meq)work[iwsv+nvl]=sum;else if(work[iwsv+nvl]=-Math.abs(sum),sum>0){for(j=1;j<=n;j+=1)amat[j][nvl]=-amat[j][nvl];bvec[nvl]=-bvec[nvl]}return 700}for(iact[nact+=1]=nvl,l=iwrm+(nact-1)*nact/2+1,i=1;i<=nact-1;i+=1)work[l]=work[i],l+=1;if(nact===n)work[l]=work[n];else{for(i=n;i>=nact+1&&0!==work[i]&&(gc=Math.max(Math.abs(work[i-1]),Math.abs(work[i])),gs=Math.min(Math.abs(work[i-1]),Math.abs(work[i])),temp=work[i-1]>=0?Math.abs(gc*Math.sqrt(1+gs*gs/(gc*gc))):-Math.abs(gc*Math.sqrt(1+gs*gs/(gc*gc))),gc=work[i-1]/temp,gs=work[i]/temp,1!==gc);i-=1)if(0===gc)for(work[i-1]=gs*temp,j=1;j<=n;j+=1)temp=dmat[j][i-1],dmat[j][i-1]=dmat[j][i],dmat[j][i]=temp;else for(work[i-1]=temp,nu=gs/(1+gc),j=1;j<=n;j+=1)temp=gc*dmat[j][i-1]+gs*dmat[j][i],dmat[j][i]=nu*(dmat[j][i-1]+temp)-dmat[j][i],dmat[j][i-1]=temp;work[l]=work[nact]}return 0}()))break;if(999===go)return;if(700===go)if(it1===nact)fn_goto_799();else{for(;;)if(function(){if(l=iwrm+it1*(it1+1)/2+1,l1=l+it1,0===work[l1])return 798;if(gc=Math.max(Math.abs(work[l1-1]),Math.abs(work[l1])),gs=Math.min(Math.abs(work[l1-1]),Math.abs(work[l1])),temp=work[l1-1]>=0?Math.abs(gc*Math.sqrt(1+gs*gs/(gc*gc))):-Math.abs(gc*Math.sqrt(1+gs*gs/(gc*gc))),gc=work[l1-1]/temp,gs=work[l1]/temp,1===gc)return 798;if(0===gc){for(i=it1+1;i<=nact;i+=1)temp=work[l1-1],work[l1-1]=work[l1],work[l1]=temp,l1+=i;for(i=1;i<=n;i+=1)temp=dmat[i][it1],dmat[i][it1]=dmat[i][it1+1],dmat[i][it1+1]=temp}else{for(nu=gs/(1+gc),i=it1+1;i<=nact;i+=1)temp=gc*work[l1-1]+gs*work[l1],work[l1]=nu*(work[l1-1]+temp)-work[l1],work[l1-1]=temp,l1+=i;for(i=1;i<=n;i+=1)temp=gc*dmat[i][it1]+gs*dmat[i][it1+1],dmat[i][it1+1]=nu*(dmat[i][it1]+temp)-dmat[i][it1+1],dmat[i][it1]=temp}}(),797!==(go=function(){for(l1=l-it1,i=1;i<=it1;i+=1)work[l1]=work[l],l+=1,l1+=1;return work[iwuv+it1]=work[iwuv+it1+1],iact[it1]=iact[it1+1],it1+=1,it1<nact?797:0}()))break;fn_goto_799()}}}}exports.solveQP=function(Dmat,dvec,Amat,bvec,meq,factorized){Dmat=base0to1(Dmat),dvec=base0to1(dvec),Amat=base0to1(Amat);var i,n,q,r,message,crval=[],iact=[],sol=[],work=[],iter=[];if(meq=meq||0,factorized=factorized?base0to1(factorized):[void 0,0],bvec=bvec?base0to1(bvec):[],n=Dmat.length-1,q=Amat[1].length-1,!bvec)for(i=1;i<=q;i+=1)bvec[i]=0;for(i=1;i<=q;i+=1)iact[i]=0;for(r=Math.min(n,q),i=1;i<=n;i+=1)sol[i]=0;for(crval[1]=0,i=1;i<=2*n+r*(r+5)/2+2*q+1;i+=1)work[i]=0;for(i=1;i<=2;i+=1)iter[i]=0;return qpgen2(Dmat,dvec,n,n,sol,crval,Amat,bvec,n,q,meq,iact,0,iter,work,factorized),message="",1===factorized[1]&&(message="constraints are inconsistent, no solution!"),2===factorized[1]&&(message="matrix D in quadratic function is not positive definite!"),{solution:base1to0(sol),value:base1to0(crval),unconstrained_solution:base1to0(dvec),iterations:base1to0(iter),iact:base1to0(iact),message:message}}}(numeric),numeric.svd=function(A){function pythag(a,b){return a=Math.abs(a),b=Math.abs(b),a>b?a*Math.sqrt(1+b*b/a/a):0==b?a:b*Math.sqrt(1+a*a/b/b)}var temp,prec=numeric.epsilon,tolerance=1e-64/prec,c=0,i=0,j=0,k=0,l=0,u=numeric.clone(A),m=u.length,n=u[0].length;if(m<n)throw"Need more rows than columns";var e=new Array(n),q=new Array(n);for(i=0;i<n;i++)e[i]=q[i]=0;var v=numeric.rep([n,n],0),f=0,g=0,h=0,x=0,y=0,z=0,s=0;for(i=0;i<n;i++){for(e[i]=g,s=0,l=i+1,j=i;j<m;j++)s+=u[j][i]*u[j][i];if(s<=tolerance)g=0;else for(f=u[i][i],g=Math.sqrt(s),f>=0&&(g=-g),h=f*g-s,u[i][i]=f-g,j=l;j<n;j++){for(s=0,k=i;k<m;k++)s+=u[k][i]*u[k][j];for(f=s/h,k=i;k<m;k++)u[k][j]+=f*u[k][i]}for(q[i]=g,s=0,j=l;j<n;j++)s+=u[i][j]*u[i][j];if(s<=tolerance)g=0;else{for(f=u[i][i+1],g=Math.sqrt(s),f>=0&&(g=-g),h=f*g-s,u[i][i+1]=f-g,j=l;j<n;j++)e[j]=u[i][j]/h;for(j=l;j<m;j++){for(s=0,k=l;k<n;k++)s+=u[j][k]*u[i][k];for(k=l;k<n;k++)u[j][k]+=s*e[k]}}(y=Math.abs(q[i])+Math.abs(e[i]))>x&&(x=y)}for(i=n-1;-1!=i;i+=-1){if(0!=g){for(h=g*u[i][i+1],j=l;j<n;j++)v[j][i]=u[i][j]/h;for(j=l;j<n;j++){for(s=0,k=l;k<n;k++)s+=u[i][k]*v[k][j];for(k=l;k<n;k++)v[k][j]+=s*v[k][i]}}for(j=l;j<n;j++)v[i][j]=0,v[j][i]=0;v[i][i]=1,g=e[i],l=i}for(i=n-1;-1!=i;i+=-1){for(l=i+1,g=q[i],j=l;j<n;j++)u[i][j]=0;if(0!=g){for(h=u[i][i]*g,j=l;j<n;j++){for(s=0,k=l;k<m;k++)s+=u[k][i]*u[k][j];for(f=s/h,k=i;k<m;k++)u[k][j]+=f*u[k][i]}for(j=i;j<m;j++)u[j][i]=u[j][i]/g}else for(j=i;j<m;j++)u[j][i]=0;u[i][i]+=1}for(prec*=x,k=n-1;-1!=k;k+=-1)for(var iteration=0;iteration<50;iteration++){var test_convergence=!1;for(l=k;-1!=l;l+=-1){if(Math.abs(e[l])<=prec){test_convergence=!0;break}if(Math.abs(q[l-1])<=prec)break}if(!test_convergence){c=0,s=1;var l1=l-1;for(i=l;i<k+1&&(f=s*e[i],e[i]=c*e[i],!(Math.abs(f)<=prec));i++)for(h=pythag(f,g=q[i]),q[i]=h,c=g/h,s=-f/h,j=0;j<m;j++)y=u[j][l1],z=u[j][i],u[j][l1]=y*c+z*s,u[j][i]=-y*s+z*c}if(z=q[k],l==k){if(z<0)for(q[k]=-z,j=0;j<n;j++)v[j][k]=-v[j][k];break}if(iteration>=49)throw"Error: no convergence.";for(x=q[l],g=pythag(f=(((y=q[k-1])-z)*(y+z)+((g=e[k-1])-(h=e[k]))*(g+h))/(2*h*y),1),f=f<0?((x-z)*(x+z)+h*(y/(f-g)-h))/x:((x-z)*(x+z)+h*(y/(f+g)-h))/x,c=1,s=1,i=l+1;i<k+1;i++){for(g=e[i],y=q[i],h=s*g,g*=c,z=pythag(f,h),e[i-1]=z,f=x*(c=f/z)+g*(s=h/z),g=-x*s+g*c,h=y*s,y*=c,j=0;j<n;j++)x=v[j][i-1],z=v[j][i],v[j][i-1]=x*c+z*s,v[j][i]=-x*s+z*c;for(z=pythag(f,h),q[i-1]=z,f=(c=f/z)*g+(s=h/z)*y,x=-s*g+c*y,j=0;j<m;j++)y=u[j][i-1],z=u[j][i],u[j][i-1]=y*c+z*s,u[j][i]=-y*s+z*c}e[l]=0,e[k]=f,q[k]=x}for(i=0;i<q.length;i++)q[i]<prec&&(q[i]=0);for(i=0;i<n;i++)for(j=i-1;j>=0;j--)if(q[j]<q[i]){for(c=q[j],q[j]=q[i],q[i]=c,k=0;k<u.length;k++)temp=u[k][i],u[k][i]=u[k][j],u[k][j]=temp;for(k=0;k<v.length;k++)temp=v[k][i],v[k][i]=v[k][j],v[k][j]=temp;i=j}return{U:u,S:q,V:v}}})),performanceNow=createCommonjsModule(function(module){(function(){var getNanoSeconds,hrtime,loadTime,moduleLoadTime,nodeLoadTime,upTime;"undefined"!=typeof performance&&null!==performance&&performance.now?module.exports=function(){return performance.now()}:"undefined"!=typeof process&&null!==process&&process.hrtime?(module.exports=function(){return(getNanoSeconds()-nodeLoadTime)/1e6},hrtime=process.hrtime,moduleLoadTime=(getNanoSeconds=function(){var hr;return 1e9*(hr=hrtime())[0]+hr[1]})(),upTime=1e9*process.uptime(),nodeLoadTime=moduleLoadTime-upTime):Date.now?(module.exports=function(){return Date.now()-loadTime},loadTime=Date.now()):(module.exports=function(){return(new Date).getTime()-loadTime},loadTime=(new Date).getTime())}).call(commonjsGlobal)}),root="undefined"==typeof window?commonjsGlobal:window,vendors=["moz","webkit"],suffix="AnimationFrame",raf=root["request"+suffix],caf=root["cancel"+suffix]||root["cancelRequest"+suffix],i=0;!raf&&i<vendors.length;i++)raf=root[vendors[i]+"Request"+suffix],caf=root[vendors[i]+"Cancel"+suffix]||root[vendors[i]+"CancelRequest"+suffix];if(!raf||!caf){var 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0===data_buffer?this.allocate():(this.buffer=data_buffer,this.data=this.type&U8_t?this.buffer.u8:this.type&S32_t?this.buffer.i32:this.type&F32_t?this.buffer.f32:this.buffer.f64)}return matrix_t.prototype.allocate=function(){delete this.data,delete this.buffer,this.buffer=new data_t(this.cols*get_data_type_size(this.type)*this.channel*this.rows),this.data=this.type&U8_t?this.buffer.u8:this.type&S32_t?this.buffer.i32:this.type&F32_t?this.buffer.f32:this.buffer.f64},matrix_t.prototype.copy_to=function(other){for(var od=other.data,td=this.data,i=0,n=this.cols*this.rows*this.channel|0;i<n-4;i+=4)od[i]=td[i],od[i+1]=td[i+1],od[i+2]=td[i+2],od[i+3]=td[i+3];for(;i<n;++i)od[i]=td[i]},matrix_t.prototype.resize=function(c,r,ch){void 0===ch&&(ch=this.channel),c*get_data_type_size(this.type)*ch*r>this.buffer.size?(this.cols=c,this.rows=r,this.channel=ch,this.allocate()):(this.cols=c,this.rows=r,this.channel=ch)},matrix_t}(),pyramid_t=function(){function pyramid_t(levels){this.levels=0|levels,this.data=new Array(levels),this.pyrdown=jsfeat.imgproc.pyrdown}return pyramid_t.prototype.allocate=function(start_w,start_h,data_type){for(var i=this.levels;--i>=0;)this.data[i]=new matrix_t(start_w>>i,start_h>>i,data_type)},pyramid_t.prototype.build=function(input,skip_first_level){void 0===skip_first_level&&(skip_first_level=!0);var i=2,a=input,b=this.data[0];if(!skip_first_level)for(var j=input.cols*input.rows;--j>=0;)b.data[j]=input.data[j];for(b=this.data[1],this.pyrdown(a,b);i<this.levels;++i)a=b,b=this.data[i],this.pyrdown(a,b)},pyramid_t}(),keypoint_t=function(){return function(x,y,score,level,angle){void 0===x&&(x=0),void 0===y&&(y=0),void 0===score&&(score=0),void 0===level&&(level=0),void 0===angle&&(angle=-1),this.x=x,this.y=y,this.score=score,this.level=level,this.angle=angle}}();global.U8_t=U8_t,global.S32_t=S32_t,global.F32_t=F32_t,global.S64_t=2048,global.F64_t=4096,global.C1_t=1,global.C2_t=2,global.C3_t=3,global.C4_t=4,global.U8C1_t=1|U8_t,global.U8C3_t=3|U8_t,global.U8C4_t=4|U8_t,global.F32C1_t=1|F32_t,global.F32C2_t=2|F32_t,global.S32C1_t=1|S32_t,global.S32C2_t=2|S32_t,global.EPSILON=1.192092896e-7,global.FLT_MIN=1e-37,global.COLOR_RGBA2GRAY=0,global.COLOR_RGB2GRAY=1,global.COLOR_BGRA2GRAY=2,global.COLOR_BGR2GRAY=3,global.BOX_BLUR_NOSCALE=1,global.SVD_U_T=1,global.SVD_V_T=2,global.get_data_type=get_data_type,global.get_channel=get_channel,global.get_data_type_size=get_data_type_size,global.data_t=data_t,global.matrix_t=matrix_t,global.pyramid_t=pyramid_t,global.keypoint_t=keypoint_t}(jsfeat),function(global){var cache=function(){var _pool_head,_pool_tail,_pool_node_t=function(){function _pool_node_t(size_in_bytes){this.next=null,this.data=new jsfeat.data_t(size_in_bytes),this.size=this.data.size,this.buffer=this.data.buffer,this.u8=this.data.u8,this.i32=this.data.i32,this.f32=this.data.f32,this.f64=this.data.f64}return _pool_node_t.prototype.resize=function(size_in_bytes){delete this.data,this.data=new jsfeat.data_t(size_in_bytes),this.size=this.data.size,this.buffer=this.data.buffer,this.u8=this.data.u8,this.i32=this.data.i32,this.f32=this.data.f32,this.f64=this.data.f64},_pool_node_t}(),_pool_size=0;return{allocate:function(capacity,data_size){_pool_head=_pool_tail=new _pool_node_t(data_size);for(var i=0;i<capacity;++i){var node=new _pool_node_t(data_size);_pool_tail=_pool_tail.next=node,_pool_size++}},get_buffer:function(size_in_bytes){var node=_pool_head;return _pool_head=_pool_head.next,_pool_size--,size_in_bytes>node.size&&node.resize(size_in_bytes),node},put_buffer:function(node){_pool_tail=_pool_tail.next=node,_pool_size++}}}();global.cache=cache,cache.allocate(30,2560)}(jsfeat),function(global){var math=function(){var qsort_stack=new Int32Array(96);return{get_gaussian_kernel:function(size,sigma,kernel,data_type){var i=0,x=0,t=0,sigma_x=0,scale_2x=0,sum=0,kern_node=jsfeat.cache.get_buffer(size<<2),_kernel=kern_node.f32;if(1==(1&size)&&size<=7&&sigma<=0)switch(size>>1){case 0:_kernel[0]=1,sum=1;break;case 1:_kernel[0]=.25,_kernel[1]=.5,_kernel[2]=.25,sum=1;break;case 2:_kernel[0]=.0625,_kernel[1]=.25,_kernel[2]=.375,_kernel[3]=.25,_kernel[4]=.0625,sum=1;break;case 3:_kernel[0]=.03125,_kernel[1]=.109375,_kernel[2]=.21875,_kernel[3]=.28125,_kernel[4]=.21875,_kernel[5]=.109375,_kernel[6]=.03125,sum=1}else for(scale_2x=-.5/((sigma_x=sigma>0?sigma:.3*(.5*(size-1)-1)+.8)*sigma_x);i<size;++i)x=i-.5*(size-1),t=Math.exp(scale_2x*x*x),_kernel[i]=t,sum+=t;if(data_type&jsfeat.U8_t)for(sum=256/sum,i=0;i<size;++i)kernel[i]=_kernel[i]*sum+.5|0;else for(sum=1/sum,i=0;i<size;++i)kernel[i]=_kernel[i]*sum;jsfeat.cache.put_buffer(kern_node)},perspective_4point_transform:function(model,src_x0,src_y0,dst_x0,dst_y0,src_x1,src_y1,dst_x1,dst_y1,src_x2,src_y2,dst_x2,dst_y2,src_x3,src_y3,dst_x3,dst_y3){var t1=src_x0,t2=src_x2,t4=src_y1,t5=t1*t2*t4,t6=src_y3,t7=t1*t6,t8=t2*t7,t9=src_y2,t10=t1*t9,t11=src_x1,t14=src_y0,t15=src_x3,t16=t14*t15,t18=t16*t11,t20=t15*t11*t9,t21=t15*t4,t24=t15*t9,t25=t2*t4,t26=t6*t2,t27=t6*t11,t28=t9*t11,t30=1/(t21-t24-t25+t26-t27+t28),t32=t1*t15,t35=t14*t11,t41=t4*t1,t42=t6*t41,t43=t14*t2,t46=t16*t9,t48=t14*t9*t11,t51=t4*t6*t2,t55=t6*t14,Hr0=-(t8-t5+t10*t11-t11*t7-t16*t2+t18-t20+t21*t2)*t30,Hr1=(t5-t8-t32*t4+t32*t9+t18-t2*t35+t27*t2-t20)*t30,Hr2=t1,Hr3=(-t9*t7+t42+t43*t4-t16*t4+t46-t48+t27*t9-t51)*t30,Hr4=(t41*t9-t42-t55*t2+t46-t48+t55*t11+t51-t21*t9)*t30,Hr5=t14,Hr6=(-t10+t41+t43-t35+t24-t21-t26+t27)*t30,Hr7=(-t7+t10+t16-t43+t27-t28-t21+t25)*t30,Hl0=-((t8=(t2=dst_x2)*(t7=(t1=dst_x0)*(t6=dst_y3)))-(t5=t1*t2*(t4=dst_y1))+(t10=t1*(t9=dst_y2))*(t11=dst_x1)-t11*t7-(t16=(t14=dst_y0)*(t15=dst_x3))*t2+(t18=t16*t11)-(t20=t15*t11*t9)+(t21=t15*t4)*t2)*(t30=1/(t21-(t24=t15*t9)-(t25=t2*t4)+(t26=t6*t2)-(t27=t6*t11)+(t28=t9*t11))),Hl1=(t5-t8-(t32=t1*t15)*t4+t32*t9+t18-t2*(t35=t14*t11)+t27*t2-t20)*t30,Hl2=t1,Hl3=(-t9*t7+(t42=t6*(t41=t4*t1))+(t43=t14*t2)*t4-t16*t4+(t46=t16*t9)-(t48=t14*t9*t11)+t27*t9-(t51=t4*t6*t2))*t30,Hl4=(t41*t9-t42-(t55=t6*t14)*t2+t46-t48+t55*t11+t51-t21*t9)*t30,Hl5=t14,Hl6=(-t10+t41+t43-t35+t24-t21-t26+t27)*t30,Hl7=(-t7+t10+t16-t43+t27-t28-t21+t25)*t30,t12=Hr2*Hr6;t18=Hr5*Hr6-Hr3;var t23=-Hr3*Hr7+Hr4*Hr6,t31=Hr0-t12;t35=Hr0*Hr7-(t10=Hr1*Hr6);var t44=(t5=Hr0*Hr5)-(t8=Hr2*Hr3),t47=(t4=Hr0*Hr4)-(t7=Hr3*Hr1);t48=(t2=Hr4-Hr7*Hr5)*(t15=1/(t4-t5*Hr7-t7+t8*Hr7+t10*Hr5-t12*Hr4));var t49=(t28=Hr2*Hr7-Hr1)*t15,t50=(t41=-Hr1*Hr5+Hr2*Hr4)*t15,mat=model.data;mat[0]=Hl0*t48+Hl1*(t18*t15)-Hl2*(t23*t15),mat[1]=Hl0*t49+Hl1*(t31*t15)-Hl2*(t35*t15),mat[2]=-Hl0*t50-Hl1*(t44*t15)+Hl2*(t47*t15),mat[3]=Hl3*t48+Hl4*(t18*t15)-Hl5*(t23*t15),mat[4]=Hl3*t49+Hl4*(t31*t15)-Hl5*(t35*t15),mat[5]=-Hl3*t50-Hl4*(t44*t15)+Hl5*(t47*t15),mat[6]=Hl6*t48+Hl7*(t18*t15)-t23*t15,mat[7]=Hl6*t49+Hl7*(t31*t15)-t35*t15,mat[8]=-Hl6*t50-Hl7*(t44*t15)+t47*t15},qsort:function(array,low,high,cmp){var t,ta,tb,tc,sp=0,left=0,right=0,i=0,n=0,m=0,ptr=0,ptr2=0,d=0,left0=0,left1=0,right0=0,right1=0,pivot=0,a=0,b=0,c=0,swap_cnt=0,stack=qsort_stack;if(!(high-low+1<=1))for(stack[0]=low,stack[1]=high;sp>=0;)for(left=stack[sp<<1],right=stack[1+(sp<<1)],sp--;;){if((n=right-left+1)<=7){for(ptr=left+1;ptr<=right;ptr++)for(ptr2=ptr;ptr2>left&&cmp(array[ptr2],array[ptr2-1]);ptr2--)t=array[ptr2],array[ptr2]=array[ptr2-1],array[ptr2-1]=t;break}for(swap_cnt=0,left0=left,right0=right,pivot=left+(n>>1),n>40&&(b=left+(d=n>>3),c=left+(d<<1),ta=array[a=left],tb=array[b],tc=array[c],left=cmp(ta,tb)?cmp(tb,tc)?b:cmp(ta,tc)?c:a:cmp(tc,tb)?b:cmp(ta,tc)?a:c,b=pivot,c=pivot+d,ta=array[a=pivot-d],tb=array[b],tc=array[c],pivot=cmp(ta,tb)?cmp(tb,tc)?b:cmp(ta,tc)?c:a:cmp(tc,tb)?b:cmp(ta,tc)?a:c,b=right-d,c=right,ta=array[a=right-(d<<1)],tb=array[b],tc=array[c],right=cmp(ta,tb)?cmp(tb,tc)?b:cmp(ta,tc)?c:a:cmp(tc,tb)?b:cmp(ta,tc)?a:c),b=pivot,c=right,ta=array[a=left],tb=array[b],tc=array[c],(pivot=cmp(ta,tb)?cmp(tb,tc)?b:cmp(ta,tc)?c:a:cmp(tc,tb)?b:cmp(ta,tc)?a:c)!=left0&&(t=array[pivot],array[pivot]=array[left0],array[left0]=t,pivot=left0),left=left1=left0+1,right=right1=right0,ta=array[pivot];;){for(;left<=right&&!cmp(ta,array[left]);)cmp(array[left],ta)||(left>left1&&(t=array[left1],array[left1]=array[left],array[left]=t),swap_cnt=1,left1++),left++;for(;left<=right&&!cmp(array[right],ta);)cmp(ta,array[right])||(right<right1&&(t=array[right1],array[right1]=array[right],array[right]=t),swap_cnt=1,right1--),right--;if(left>right)break;t=array[left],array[left]=array[right],array[right]=t,swap_cnt=1,left++,right--}if(0==swap_cnt){for(right=right0,ptr=(left=left0)+1;ptr<=right;ptr++)for(ptr2=ptr;ptr2>left&&cmp(array[ptr2],array[ptr2-1]);ptr2--)t=array[ptr2],array[ptr2]=array[ptr2-1],array[ptr2-1]=t;break}for(m=left-(n=Math.min(left1-left0,left-left1))|0,i=0;i<n;++i,++m)t=array[left0+i],array[left0+i]=array[m],array[m]=t;for(m=right0-(n=Math.min(right0-right1,right1-right))+1|0,i=0;i<n;++i,++m)t=array[left+i],array[left+i]=array[m],array[m]=t;if(n=left-left1,m=right1-right,n>1)m>1?n>m?(stack[++sp<<1]=left0,stack[1+(sp<<1)]=left0+n-1,left=right0-m+1,right=right0):(stack[++sp<<1]=right0-m+1,stack[1+(sp<<1)]=right0,left=left0,right=left0+n-1):(left=left0,right=left0+n-1);else{if(!(m>1))break;left=right0-m+1,right=right0}}},median:function(array,low,high){for(var w,middle=0,ll=0,hh=0,median=low+high>>1;;){if(high<=low)return array[median];if(high==low+1)return array[low]>array[high]&&(w=array[low],array[low]=array[high],array[high]=w),array[median];for(array[middle=low+high>>1]>array[high]&&(w=array[middle],array[middle]=array[high],array[high]=w),array[low]>array[high]&&(w=array[low],array[low]=array[high],array[high]=w),array[middle]>array[low]&&(w=array[middle],array[middle]=array[low],array[low]=w),ll=low+1,w=array[middle],array[middle]=array[ll],array[ll]=w,hh=high;;){do{++ll}while(array[low]>array[ll]);do{--hh}while(array[hh]>array[low]);if(hh<ll)break;w=array[ll],array[ll]=array[hh],array[hh]=w}w=array[low],array[low]=array[hh],array[hh]=w,hh<=median?low=ll:hh>=median&&(high=hh-1)}return 0}}}();global.math=math}(jsfeat),function(global){var matmath={identity:function(M,value){void 0===value&&(value=1);for(var src=M.data,rows=M.rows,cols=M.cols,cols_1=cols+1|0,len=rows*cols,k=len;--len>=0;)src[len]=0;for(len=k,k=0;k<len;)src[k]=value,k+=cols_1},transpose:function(At,A){for(var i=0,j=0,nrows=A.rows,ncols=A.cols,Ai=0,Ati=0,pAt=0,ad=A.data,atd=At.data;i<nrows;Ati+=1,Ai+=ncols,i++)for(pAt=Ati,j=0;j<ncols;pAt+=nrows,j++)atd[pAt]=ad[Ai+j]},multiply:function(C,A,B){for(var i=0,j=0,k=0,Ap=0,pA=0,pB=0,p_B=0,Cp=0,ncols=A.cols,nrows=A.rows,mcols=B.cols,ad=A.data,bd=B.data,cd=C.data,sum=0;i<nrows;Ap+=ncols,i++)for(p_B=0,j=0;j<mcols;Cp++,p_B++,j++){for(pB=p_B,pA=Ap,sum=0,k=0;k<ncols;pA++,pB+=mcols,k++)sum+=ad[pA]*bd[pB];cd[Cp]=sum}},multiply_ABt:function(C,A,B){for(var i=0,j=0,k=0,Ap=0,pA=0,pB=0,Cp=0,ncols=A.cols,nrows=A.rows,mrows=B.rows,ad=A.data,bd=B.data,cd=C.data,sum=0;i<nrows;Ap+=ncols,i++)for(pB=0,j=0;j<mrows;Cp++,j++){for(pA=Ap,sum=0,k=0;k<ncols;pA++,pB++,k++)sum+=ad[pA]*bd[pB];cd[Cp]=sum}},multiply_AtB:function(C,A,B){for(var i=0,j=0,k=0,Ap=0,pA=0,pB=0,p_B=0,Cp=0,ncols=A.cols,nrows=A.rows,mcols=B.cols,ad=A.data,bd=B.data,cd=C.data,sum=0;i<ncols;Ap++,i++)for(p_B=0,j=0;j<mcols;Cp++,p_B++,j++){for(pB=p_B,pA=Ap,sum=0,k=0;k<nrows;pA+=ncols,pB+=mcols,k++)sum+=ad[pA]*bd[pB];cd[Cp]=sum}},multiply_AAt:function(C,A){for(var i=0,j=0,k=0,pCdiag=0,p_A=0,pA=0,pB=0,pC=0,pCt=0,ncols=A.cols,nrows=A.rows,ad=A.data,cd=C.data,sum=0;i<nrows;pCdiag+=nrows+1,p_A=pA,i++)for(pC=pCdiag,pCt=pCdiag,pB=p_A,j=i;j<nrows;pC++,pCt+=nrows,j++){for(pA=p_A,sum=0,k=0;k<ncols;k++)sum+=ad[pA++]*ad[pB++];cd[pC]=sum,cd[pCt]=sum}},multiply_AtA:function(C,A){for(var i=0,j=0,k=0,p_A=0,pA=0,pB=0,p_C=0,pC=0,p_CC=0,ncols=A.cols,nrows=A.rows,ad=A.data,cd=C.data,sum=0;i<ncols;p_C+=ncols,i++)for(p_A=i,pC=p_CC=p_C+i,j=i;j<ncols;pC++,p_CC+=ncols,j++){for(pA=p_A,pB=j,sum=0,k=0;k<nrows;pA+=ncols,pB+=ncols,k++)sum+=ad[pA]*ad[pB];cd[pC]=sum,cd[p_CC]=sum}},identity_3x3:function(M,value){void 0===value&&(value=1);var dt=M.data;dt[0]=dt[4]=dt[8]=value,dt[1]=dt[2]=dt[3]=0,dt[5]=dt[6]=dt[7]=0},invert_3x3:function(from,to){var A=from.data,invA=to.data,t1=A[4],t2=A[8],t4=A[5],t5=A[7],t8=A[0],t9=t8*t1,t11=t8*t4,t13=A[3],t14=A[1],t15=t13*t14,t17=A[2],t18=t13*t17,t20=A[6],t21=t20*t14,t23=t20*t17,t26=1/(t9*t2-t11*t5-t15*t2+t18*t5+t21*t4-t23*t1);invA[0]=(t1*t2-t4*t5)*t26,invA[1]=-(t14*t2-t17*t5)*t26,invA[2]=-(-t14*t4+t17*t1)*t26,invA[3]=-(t13*t2-t4*t20)*t26,invA[4]=(t8*t2-t23)*t26,invA[5]=-(t11-t18)*t26,invA[6]=-(-t13*t5+t1*t20)*t26,invA[7]=-(t8*t5-t21)*t26,invA[8]=(t9-t15)*t26},multiply_3x3:function(C,A,B){var Cd=C.data,Ad=A.data,Bd=B.data,m1_0=Ad[0],m1_1=Ad[1],m1_2=Ad[2],m1_3=Ad[3],m1_4=Ad[4],m1_5=Ad[5],m1_6=Ad[6],m1_7=Ad[7],m1_8=Ad[8],m2_0=Bd[0],m2_1=Bd[1],m2_2=Bd[2],m2_3=Bd[3],m2_4=Bd[4],m2_5=Bd[5],m2_6=Bd[6],m2_7=Bd[7],m2_8=Bd[8];Cd[0]=m1_0*m2_0+m1_1*m2_3+m1_2*m2_6,Cd[1]=m1_0*m2_1+m1_1*m2_4+m1_2*m2_7,Cd[2]=m1_0*m2_2+m1_1*m2_5+m1_2*m2_8,Cd[3]=m1_3*m2_0+m1_4*m2_3+m1_5*m2_6,Cd[4]=m1_3*m2_1+m1_4*m2_4+m1_5*m2_7,Cd[5]=m1_3*m2_2+m1_4*m2_5+m1_5*m2_8,Cd[6]=m1_6*m2_0+m1_7*m2_3+m1_8*m2_6,Cd[7]=m1_6*m2_1+m1_7*m2_4+m1_8*m2_7,Cd[8]=m1_6*m2_2+m1_7*m2_5+m1_8*m2_8},mat3x3_determinant:function(M){var md=M.data;return md[0]*md[4]*md[8]-md[0]*md[5]*md[7]-md[3]*md[1]*md[8]+md[3]*md[2]*md[7]+md[6]*md[1]*md[5]-md[6]*md[2]*md[4]},determinant_3x3:function(M11,M12,M13,M21,M22,M23,M31,M32,M33){return M11*M22*M33-M11*M23*M32-M21*M12*M33+M21*M13*M32+M31*M12*M23-M31*M13*M22}};global.matmath=matmath}(jsfeat),function(global){var linalg=function(){var swap=function(A,i0,i1,t){t=A[i0],A[i0]=A[i1],A[i1]=t},hypot=function(a,b){return a=Math.abs(a),b=Math.abs(b),a>b?(b/=a,a*Math.sqrt(1+b*b)):b>0?(a/=b,b*Math.sqrt(1+a*a)):0},JacobiImpl=function(A,astep,W,V,vstep,n){var eps=jsfeat.EPSILON,i=0,j=0,k=0,m=0,l=0,idx=0,_in=0,_in2=0,iters=0,max_iter=n*n*30,mv=0,val=0,p=0,y=0,t=0,s=0,c=0,a0=0,b0=0,indR_buff=jsfeat.cache.get_buffer(n<<2),indC_buff=jsfeat.cache.get_buffer(n<<2),indR=indR_buff.i32,indC=indC_buff.i32;if(V)for(;i<n;i++){for(k=i*vstep,j=0;j<n;j++)V[k+j]=0;V[k+i]=1}for(k=0;k<n;k++){if(W[k]=A[(astep+1)*k],k<n-1){for(m=k+1,mv=Math.abs(A[astep*k+m]),i=k+2;i<n;i++)mv<(val=Math.abs(A[astep*k+i]))&&(mv=val,m=i);indR[k]=m}if(k>0){for(m=0,mv=Math.abs(A[k]),i=1;i<k;i++)mv<(val=Math.abs(A[astep*i+k]))&&(mv=val,m=i);indC[k]=m}}if(n>1)for(;iters<max_iter;iters++){for(k=0,mv=Math.abs(A[indR[0]]),i=1;i<n-1;i++)mv<(val=Math.abs(A[astep*i+indR[i]]))&&(mv=val,k=i);for(l=indR[k],i=1;i<n;i++)mv<(val=Math.abs(A[astep*indC[i]+i]))&&(mv=val,k=indC[i],l=i);if(p=A[astep*k+l],Math.abs(p)<=eps)break;for(y=.5*(W[l]-W[k]),c=(t=Math.abs(y)+hypot(p,y))/(s=hypot(p,t)),s=p/s,t=p/t*p,y<0&&(s=-s,t=-t),A[astep*k+l]=0,W[k]-=t,W[l]+=t,i=0;i<k;i++)_in2=astep*i+l,a0=A[_in=astep*i+k],b0=A[_in2],A[_in]=a0*c-b0*s,A[_in2]=a0*s+b0*c;for(i=k+1;i<l;i++)_in2=astep*i+l,a0=A[_in=astep*k+i],b0=A[_in2],A[_in]=a0*c-b0*s,A[_in2]=a0*s+b0*c;for(_in=astep*k+(i=l+1),_in2=astep*l+i;i<n;i++,_in++,_in2++)a0=A[_in],b0=A[_in2],A[_in]=a0*c-b0*s,A[_in2]=a0*s+b0*c;if(V)for(_in=vstep*k,_in2=vstep*l,i=0;i<n;i++,_in++,_in2++)a0=V[_in],b0=V[_in2],V[_in]=a0*c-b0*s,V[_in2]=a0*s+b0*c;for(j=0;j<2;j++){if((idx=0==j?k:l)<n-1){for(m=idx+1,mv=Math.abs(A[astep*idx+m]),i=idx+2;i<n;i++)mv<(val=Math.abs(A[astep*idx+i]))&&(mv=val,m=i);indR[idx]=m}if(idx>0){for(m=0,mv=Math.abs(A[idx]),i=1;i<idx;i++)mv<(val=Math.abs(A[astep*i+idx]))&&(mv=val,m=i);indC[idx]=m}}}for(k=0;k<n-1;k++){for(m=k,i=k+1;i<n;i++)W[m]<W[i]&&(m=i);if(k!=m&&(swap(W,m,k,mv),V))for(i=0;i<n;i++)swap(V,vstep*m+i,vstep*k+i,mv)}jsfeat.cache.put_buffer(indR_buff),jsfeat.cache.put_buffer(indC_buff)},JacobiSVDImpl=function(At,astep,_W,Vt,vstep,m,n,n1){for(var eps=2*jsfeat.EPSILON,minval=jsfeat.FLT_MIN,i=0,j=0,k=0,iter=0,max_iter=Math.max(m,30),Ai=0,Aj=0,Vi=0,Vj=0,changed=0,c=0,s=0,t=0,t0=0,t1=0,sd=0,beta=0,gamma=0,delta=0,a=0,p=0,b=0,seed=4660,val=0,val0=0,asum=0,W_buff=jsfeat.cache.get_buffer(n<<3),W=W_buff.f64;i<n;i++){for(k=0,sd=0;k<m;k++)sd+=(t=At[i*astep+k])*t;if(W[i]=sd,Vt){for(k=0;k<n;k++)Vt[i*vstep+k]=0;Vt[i*vstep+i]=1}}for(;iter<max_iter;iter++){for(changed=0,i=0;i<n-1;i++)for(j=i+1;j<n;j++){for(Ai=i*astep|0,Aj=j*astep|0,a=W[i],p=0,b=W[j],k=2,p+=At[Ai]*At[Aj],p+=At[Ai+1]*At[Aj+1];k<m;k++)p+=At[Ai+k]*At[Aj+k];if(!(Math.abs(p)<=eps*Math.sqrt(a*b))){for(gamma=hypot(p*=2,beta=a-b),beta<0?(delta=.5*(gamma-beta),c=p/(gamma*(s=Math.sqrt(delta/gamma))*2)):s=p/(gamma*(c=Math.sqrt((gamma+beta)/(2*gamma)))*2),a=0,b=0,k=2,t0=c*At[Ai]+s*At[Aj],t1=-s*At[Ai]+c*At[Aj],At[Ai]=t0,At[Aj]=t1,a+=t0*t0,b+=t1*t1,t0=c*At[Ai+1]+s*At[Aj+1],t1=-s*At[Ai+1]+c*At[Aj+1],At[Ai+1]=t0,At[Aj+1]=t1,a+=t0*t0,b+=t1*t1;k<m;k++)t0=c*At[Ai+k]+s*At[Aj+k],t1=-s*At[Ai+k]+c*At[Aj+k],At[Ai+k]=t0,At[Aj+k]=t1,a+=t0*t0,b+=t1*t1;if(W[i]=a,W[j]=b,changed=1,Vt)for(Vj=j*vstep|0,k=2,t0=c*Vt[Vi=i*vstep|0]+s*Vt[Vj],t1=-s*Vt[Vi]+c*Vt[Vj],Vt[Vi]=t0,Vt[Vj]=t1,t0=c*Vt[Vi+1]+s*Vt[Vj+1],t1=-s*Vt[Vi+1]+c*Vt[Vj+1],Vt[Vi+1]=t0,Vt[Vj+1]=t1;k<n;k++)t0=c*Vt[Vi+k]+s*Vt[Vj+k],t1=-s*Vt[Vi+k]+c*Vt[Vj+k],Vt[Vi+k]=t0,Vt[Vj+k]=t1}}if(0==changed)break}for(i=0;i<n;i++){for(k=0,sd=0;k<m;k++)sd+=(t=At[i*astep+k])*t;W[i]=Math.sqrt(sd)}for(i=0;i<n-1;i++){for(j=i,k=i+1;k<n;k++)W[j]<W[k]&&(j=k);if(i!=j&&(swap(W,i,j,sd),Vt)){for(k=0;k<m;k++)swap(At,i*astep+k,j*astep+k,t);for(k=0;k<n;k++)swap(Vt,i*vstep+k,j*vstep+k,t)}}for(i=0;i<n;i++)_W[i]=W[i];if(Vt){for(i=0;i<n1;i++){for(sd=i<n?W[i]:0;sd<=minval;){for(val0=1/m,k=0;k<m;k++)val=0!=(256&(seed=214013*seed+2531011)>>16)?val0:-val0,At[i*astep+k]=val;for(iter=0;iter<2;iter++)for(j=0;j<i;j++){for(sd=0,k=0;k<m;k++)sd+=At[i*astep+k]*At[j*astep+k];for(asum=0,k=0;k<m;k++)t=At[i*astep+k]-sd*At[j*astep+k],At[i*astep+k]=t,asum+=Math.abs(t);for(asum=asum?1/asum:0,k=0;k<m;k++)At[i*astep+k]*=asum}for(sd=0,k=0;k<m;k++)sd+=(t=At[i*astep+k])*t;sd=Math.sqrt(sd)}for(s=1/sd,k=0;k<m;k++)At[i*astep+k]*=s}jsfeat.cache.put_buffer(W_buff)}else jsfeat.cache.put_buffer(W_buff)};return{lu_solve:function(A,B){var t,alpha,d,s,i=0,j=0,k=0,p=1,astep=A.cols,ad=A.data,bd=B.data;for(i=0;i<astep;i++){for(k=i,j=i+1;j<astep;j++)Math.abs(ad[j*astep+i])>Math.abs(ad[k*astep+i])&&(k=j);if(Math.abs(ad[k*astep+i])<jsfeat.EPSILON)return 0;if(k!=i){for(j=i;j<astep;j++)swap(ad,i*astep+j,k*astep+j,t);swap(bd,i,k,t),p=-p}for(d=-1/ad[i*astep+i],j=i+1;j<astep;j++){for(alpha=ad[j*astep+i]*d,k=i+1;k<astep;k++)ad[j*astep+k]+=alpha*ad[i*astep+k];bd[j]+=alpha*bd[i]}ad[i*astep+i]=-d}for(i=astep-1;i>=0;i--){for(s=bd[i],k=i+1;k<astep;k++)s-=ad[i*astep+k]*bd[k];bd[i]=s*ad[i*astep+i]}return 1},cholesky_solve:function(A,B){var val,inv_diag,col=0,row=0,col2=0,cs=0,rs=0,i=0,j=0,size=A.cols,ad=A.data,bd=B.data;for(col=0;col<size;col++)for(inv_diag=1,rs=cs=col*size,row=col;row<size;row++){for(val=ad[rs+col],col2=0;col2<col;col2++)val-=ad[col2*size+col]*ad[rs+col2];if(row==col){if(ad[rs+col]=val,0==val)return 0;inv_diag=1/val}else ad[cs+row]=val,ad[rs+col]=val*inv_diag;rs+=size}for(cs=0,i=0;i<size;i++){for(val=bd[i],j=0;j<i;j++)val-=ad[cs+j]*bd[j];bd[i]=val,cs+=size}for(cs=0,i=0;i<size;i++)bd[i]/=ad[cs+i],cs+=size;for(i=size-1;i>=0;i--){for(val=bd[i],cs=(j=i+1)*size;j<size;j++)val-=ad[cs+i]*bd[j],cs+=size;bd[i]=val}return 1},svd_decompose:function(A,W,U,V,options){void 0===options&&(options=0);var at=0,i=0,_m=A.rows,_n=A.cols,m=_m,n=_n,dt=A.type|jsfeat.C1_t;m<n&&(at=1,i=m,m=n,n=i);var a_buff=jsfeat.cache.get_buffer(m*m<<3),w_buff=jsfeat.cache.get_buffer(n<<3),v_buff=jsfeat.cache.get_buffer(n*n<<3),a_mt=new jsfeat.matrix_t(m,m,dt,a_buff.data),w_mt=new jsfeat.matrix_t(1,n,dt,w_buff.data),v_mt=new jsfeat.matrix_t(n,n,dt,v_buff.data);if(0==at)jsfeat.matmath.transpose(a_mt,A);else{for(i=0;i<_n*_m;i++)a_mt.data[i]=A.data[i];for(;i<n*m;i++)a_mt.data[i]=0}if(JacobiSVDImpl(a_mt.data,m,w_mt.data,v_mt.data,n,m,n,m),W){for(i=0;i<n;i++)W.data[i]=w_mt.data[i];for(;i<_n;i++)W.data[i]=0}if(0==at){if(U&&options&jsfeat.SVD_U_T)for(i=m*m;--i>=0;)U.data[i]=a_mt.data[i];else U&&jsfeat.matmath.transpose(U,a_mt);if(V&&options&jsfeat.SVD_V_T)for(i=n*n;--i>=0;)V.data[i]=v_mt.data[i];else V&&jsfeat.matmath.transpose(V,v_mt)}else{if(U&&options&jsfeat.SVD_U_T)for(i=n*n;--i>=0;)U.data[i]=v_mt.data[i];else U&&jsfeat.matmath.transpose(U,v_mt);if(V&&options&jsfeat.SVD_V_T)for(i=m*m;--i>=0;)V.data[i]=a_mt.data[i];else V&&jsfeat.matmath.transpose(V,a_mt)}jsfeat.cache.put_buffer(a_buff),jsfeat.cache.put_buffer(w_buff),jsfeat.cache.put_buffer(v_buff)},svd_solve:function(A,X,B){var i=0,j=0,k=0,pu=0,pv=0,nrows=A.rows,ncols=A.cols,sum=0,xsum=0,tol=0,dt=A.type|jsfeat.C1_t,u_buff=jsfeat.cache.get_buffer(nrows*nrows<<3),w_buff=jsfeat.cache.get_buffer(ncols<<3),v_buff=jsfeat.cache.get_buffer(ncols*ncols<<3),u_mt=new jsfeat.matrix_t(nrows,nrows,dt,u_buff.data),w_mt=new jsfeat.matrix_t(1,ncols,dt,w_buff.data),v_mt=new jsfeat.matrix_t(ncols,ncols,dt,v_buff.data),bd=B.data,ud=u_mt.data,wd=w_mt.data,vd=v_mt.data;for(this.svd_decompose(A,w_mt,u_mt,v_mt,0),tol=jsfeat.EPSILON*wd[0]*ncols;i<ncols;i++,pv+=ncols){for(xsum=0,j=0;j<ncols;j++)if(wd[j]>tol){for(k=0,sum=0,pu=0;k<nrows;k++,pu+=ncols)sum+=ud[pu+j]*bd[k];xsum+=sum*vd[pv+j]/wd[j]}X.data[i]=xsum}jsfeat.cache.put_buffer(u_buff),jsfeat.cache.put_buffer(w_buff),jsfeat.cache.put_buffer(v_buff)},svd_invert:function(Ai,A){var i=0,j=0,k=0,pu=0,pv=0,pa=0,nrows=A.rows,ncols=A.cols,sum=0,tol=0,dt=A.type|jsfeat.C1_t,u_buff=jsfeat.cache.get_buffer(nrows*nrows<<3),w_buff=jsfeat.cache.get_buffer(ncols<<3),v_buff=jsfeat.cache.get_buffer(ncols*ncols<<3),u_mt=new jsfeat.matrix_t(nrows,nrows,dt,u_buff.data),w_mt=new jsfeat.matrix_t(1,ncols,dt,w_buff.data),v_mt=new jsfeat.matrix_t(ncols,ncols,dt,v_buff.data),id=Ai.data,ud=u_mt.data,wd=w_mt.data,vd=v_mt.data;for(this.svd_decompose(A,w_mt,u_mt,v_mt,0),tol=jsfeat.EPSILON*wd[0]*ncols;i<ncols;i++,pv+=ncols)for(j=0,pu=0;j<nrows;j++,pa++){for(k=0,sum=0;k<ncols;k++,pu++)wd[k]>tol&&(sum+=vd[pv+k]*ud[pu]/wd[k]);id[pa]=sum}jsfeat.cache.put_buffer(u_buff),jsfeat.cache.put_buffer(w_buff),jsfeat.cache.put_buffer(v_buff)},eigenVV:function(A,vects,vals){for(var n=A.cols,i=n*n,dt=A.type|jsfeat.C1_t,a_buff=jsfeat.cache.get_buffer(n*n<<3),w_buff=jsfeat.cache.get_buffer(n<<3),a_mt=new jsfeat.matrix_t(n,n,dt,a_buff.data),w_mt=new jsfeat.matrix_t(1,n,dt,w_buff.data);--i>=0;)a_mt.data[i]=A.data[i];if(JacobiImpl(a_mt.data,n,w_mt.data,vects?vects.data:null,n,n),vals)for(;--n>=0;)vals.data[n]=w_mt.data[n];jsfeat.cache.put_buffer(a_buff),jsfeat.cache.put_buffer(w_buff)}}}();global.linalg=linalg}(jsfeat),function(global){var motion_model=function(){var sqr=function(x){return x*x},iso_normalize_points=function(from,to,T0,T1,count){for(var i=0,cx0=0,cy0=0,d0=0,s0=0,cx1=0,cy1=0,d1=0,s1=0,dx=0,dy=0;i<count;++i)cx0+=from[i].x,cy0+=from[i].y,cx1+=to[i].x,cy1+=to[i].y;for(cx0/=count,cy0/=count,cx1/=count,cy1/=count,i=0;i<count;++i)dx=from[i].x-cx0,dy=from[i].y-cy0,d0+=Math.sqrt(dx*dx+dy*dy),dx=to[i].x-cx1,dy=to[i].y-cy1,d1+=Math.sqrt(dx*dx+dy*dy);d0/=count,d1/=count,s0=Math.SQRT2/d0,s1=Math.SQRT2/d1,T0[0]=T0[4]=s0,T0[2]=-cx0*s0,T0[5]=-cy0*s0,T0[1]=T0[3]=T0[6]=T0[7]=0,T0[8]=1,T1[0]=T1[4]=s1,T1[2]=-cx1*s1,T1[5]=-cy1*s1,T1[1]=T1[3]=T1[6]=T1[7]=0,T1[8]=1},T0=new jsfeat.matrix_t(3,3,jsfeat.F32_t|jsfeat.C1_t),T1=new jsfeat.matrix_t(3,3,jsfeat.F32_t|jsfeat.C1_t),AtA=new jsfeat.matrix_t(6,6,jsfeat.F32_t|jsfeat.C1_t),AtB=new jsfeat.matrix_t(6,1,jsfeat.F32_t|jsfeat.C1_t),affine2d=function(){function affine2d(){}return affine2d.prototype.run=function(from,to,model,count){var pt0,pt1,i=0,j=0,dt=model.type|jsfeat.C1_t,md=model.data,t0d=T0.data,t1d=T1.data,px=0,py=0;iso_normalize_points(from,to,t0d,t1d,count);for(var a_buff=jsfeat.cache.get_buffer(2*count*6<<3),b_buff=jsfeat.cache.get_buffer(2*count<<3),a_mt=new jsfeat.matrix_t(6,2*count,dt,a_buff.data),b_mt=new jsfeat.matrix_t(1,2*count,dt,b_buff.data),ad=a_mt.data,bd=b_mt.data;i<count;++i)pt0=from[i],pt1=to[i],px=t0d[0]*pt0.x+t0d[1]*pt0.y+t0d[2],py=t0d[3]*pt0.x+t0d[4]*pt0.y+t0d[5],ad[j=2*i*6]=px,ad[j+1]=py,ad[j+2]=1,ad[j+3]=0,ad[j+4]=0,ad[j+5]=0,ad[j+=6]=0,ad[j+1]=0,ad[j+2]=0,ad[j+3]=px,ad[j+4]=py,ad[j+5]=1,bd[i<<1]=t1d[0]*pt1.x+t1d[1]*pt1.y+t1d[2],bd[1+(i<<1)]=t1d[3]*pt1.x+t1d[4]*pt1.y+t1d[5];return jsfeat.matmath.multiply_AtA(AtA,a_mt),jsfeat.matmath.multiply_AtB(AtB,a_mt,b_mt),jsfeat.linalg.lu_solve(AtA,AtB),md[0]=AtB.data[0],md[1]=AtB.data[1],md[2]=AtB.data[2],md[3]=AtB.data[3],md[4]=AtB.data[4],md[5]=AtB.data[5],md[6]=0,md[7]=0,md[8]=1,jsfeat.matmath.invert_3x3(T1,T1),jsfeat.matmath.multiply_3x3(model,T1,model),jsfeat.matmath.multiply_3x3(model,model,T0),jsfeat.cache.put_buffer(a_buff),jsfeat.cache.put_buffer(b_buff),1},affine2d.prototype.error=function(from,to,model,err,count){for(var pt0,pt1,i=0,m=model.data;i<count;++i)pt0=from[i],pt1=to[i],err[i]=sqr(pt1.x-m[0]*pt0.x-m[1]*pt0.y-m[2])+sqr(pt1.y-m[3]*pt0.x-m[4]*pt0.y-m[5])},affine2d.prototype.check_subset=function(from,to,count){return!0},affine2d}(),mLtL=new jsfeat.matrix_t(9,9,jsfeat.F32_t|jsfeat.C1_t),Evec=new jsfeat.matrix_t(9,9,jsfeat.F32_t|jsfeat.C1_t);return{affine2d:affine2d,homography2d:function(){function homography2d(){}return homography2d.prototype.run=function(from,to,model,count){for(var i=0,j=0,md=model.data,t0d=T0.data,t1d=T1.data,LtL=mLtL.data,evd=Evec.data,x=0,y=0,X=0,Y=0,smx=0,smy=0,cmx=0,cmy=0,sMx=0,sMy=0,cMx=0,cMy=0;i<count;++i)cmx+=to[i].x,cmy+=to[i].y,cMx+=from[i].x,cMy+=from[i].y;for(cmx/=count,cmy/=count,cMx/=count,cMy/=count,i=0;i<count;++i)smx+=Math.abs(to[i].x-cmx),smy+=Math.abs(to[i].y-cmy),sMx+=Math.abs(from[i].x-cMx),sMy+=Math.abs(from[i].y-cMy);if(Math.abs(smx)<jsfeat.EPSILON||Math.abs(smy)<jsfeat.EPSILON||Math.abs(sMx)<jsfeat.EPSILON||Math.abs(sMy)<jsfeat.EPSILON)return 0;for(smx=count/smx,smy=count/smy,sMx=count/sMx,sMy=count/sMy,t0d[0]=sMx,t0d[1]=0,t0d[2]=-cMx*sMx,t0d[3]=0,t0d[4]=sMy,t0d[5]=-cMy*sMy,t0d[6]=0,t0d[7]=0,t0d[8]=1,t1d[0]=1/smx,t1d[1]=0,t1d[2]=cmx,t1d[3]=0,t1d[4]=1/smy,t1d[5]=cmy,t1d[6]=0,t1d[7]=0,t1d[8]=1,i=81;--i>=0;)LtL[i]=0;for(i=0;i<count;++i)x=(to[i].x-cmx)*smx,y=(to[i].y-cmy)*smy,X=(from[i].x-cMx)*sMx,Y=(from[i].y-cMy)*sMy,LtL[0]+=X*X,LtL[1]+=X*Y,LtL[2]+=X,LtL[6]+=X*-x*X,LtL[7]+=X*-x*Y,LtL[8]+=X*-x,LtL[10]+=Y*Y,LtL[11]+=Y,LtL[15]+=Y*-x*X,LtL[16]+=Y*-x*Y,LtL[17]+=Y*-x,LtL[20]+=1,LtL[24]+=-x*X,LtL[25]+=-x*Y,LtL[26]+=-x,LtL[30]+=X*X,LtL[31]+=X*Y,LtL[32]+=X,LtL[33]+=X*-y*X,LtL[34]+=X*-y*Y,LtL[35]+=X*-y,LtL[40]+=Y*Y,LtL[41]+=Y,LtL[42]+=Y*-y*X,LtL[43]+=Y*-y*Y,LtL[44]+=Y*-y,LtL[50]+=1,LtL[51]+=-y*X,LtL[52]+=-y*Y,LtL[53]+=-y,LtL[60]+=-x*X*-x*X+-y*X*-y*X,LtL[61]+=-x*X*-x*Y+-y*X*-y*Y,LtL[62]+=-x*X*-x+-y*X*-y,LtL[70]+=-x*Y*-x*Y+-y*Y*-y*Y,LtL[71]+=-x*Y*-x+-y*Y*-y,LtL[80]+=-x*-x+-y*-y;for(i=0;i<9;++i)for(j=0;j<i;++j)LtL[9*i+j]=LtL[9*j+i];return jsfeat.linalg.eigenVV(mLtL,Evec),md[0]=evd[72],md[1]=evd[73],md[2]=evd[74],md[3]=evd[75],md[4]=evd[76],md[5]=evd[77],md[6]=evd[78],md[7]=evd[79],md[8]=evd[80],jsfeat.matmath.multiply_3x3(model,T1,model),jsfeat.matmath.multiply_3x3(model,model,T0),x=1/md[8],md[0]*=x,md[1]*=x,md[2]*=x,md[3]*=x,md[4]*=x,md[5]*=x,md[6]*=x,md[7]*=x,md[8]=1,1},homography2d.prototype.error=function(from,to,model,err,count){for(var pt0,pt1,i=0,ww=0,dx=0,dy=0,m=model.data;i<count;++i)pt0=from[i],pt1=to[i],ww=1/(m[6]*pt0.x+m[7]*pt0.y+1),dx=(m[0]*pt0.x+m[1]*pt0.y+m[2])*ww-pt1.x,dy=(m[3]*pt0.x+m[4]*pt0.y+m[5])*ww-pt1.y,err[i]=dx*dx+dy*dy},homography2d.prototype.check_subset=function(from,to,count){if(4==count){var negative=0,fp0=from[0],fp1=from[1],fp2=from[2],fp3=from[3],tp0=to[0],tp1=to[1],tp2=to[2],tp3=to[3],A11=fp0.x,A12=fp0.y,A21=fp1.x,A22=fp1.y,A31=fp2.x,A32=fp2.y,B11=tp0.x,B12=tp0.y,B21=tp1.x,B22=tp1.y,B31=tp2.x,B32=tp2.y,detA=jsfeat.matmath.determinant_3x3(A11,A12,1,A21,A22,1,A31,A32,1),detB=jsfeat.matmath.determinant_3x3(B11,B12,1,B21,B22,1,B31,B32,1);if(detA*detB<0&&negative++,A11=fp1.x,A12=fp1.y,A21=fp2.x,A22=fp2.y,A31=fp3.x,A32=fp3.y,B11=tp1.x,B12=tp1.y,B21=tp2.x,B22=tp2.y,B31=tp3.x,B32=tp3.y,detA=jsfeat.matmath.determinant_3x3(A11,A12,1,A21,A22,1,A31,A32,1),detB=jsfeat.matmath.determinant_3x3(B11,B12,1,B21,B22,1,B31,B32,1),detA*detB<0&&negative++,A11=fp0.x,A12=fp0.y,A21=fp2.x,A22=fp2.y,A31=fp3.x,A32=fp3.y,B11=tp0.x,B12=tp0.y,B21=tp2.x,B22=tp2.y,B31=tp3.x,B32=tp3.y,detA=jsfeat.matmath.determinant_3x3(A11,A12,1,A21,A22,1,A31,A32,1),detB=jsfeat.matmath.determinant_3x3(B11,B12,1,B21,B22,1,B31,B32,1),detA*detB<0&&negative++,A11=fp0.x,A12=fp0.y,A21=fp1.x,A22=fp1.y,A31=fp3.x,A32=fp3.y,B11=tp0.x,B12=tp0.y,B21=tp1.x,B22=tp1.y,B31=tp3.x,B32=tp3.y,detA=jsfeat.matmath.determinant_3x3(A11,A12,1,A21,A22,1,A31,A32,1),detB=jsfeat.matmath.determinant_3x3(B11,B12,1,B21,B22,1,B31,B32,1),detA*detB<0&&negative++,0!=negative&&4!=negative)return!1}return!0},homography2d}()}}(),ransac_params_t=function(){function ransac_params_t(size,thresh,eps,prob){void 0===size&&(size=0),void 0===thresh&&(thresh=.5),void 0===eps&&(eps=.5),void 0===prob&&(prob=.99),this.size=size,this.thresh=thresh,this.eps=eps,this.prob=prob}return ransac_params_t.prototype.update_iters=function(_eps,max_iters){var num=Math.log(1-this.prob),denom=Math.log(1-Math.pow(1-_eps,this.size));return 0|(denom>=0||-num>=max_iters*-denom?max_iters:Math.round(num/denom))},ransac_params_t}(),motion_estimator=function(){var get_subset=function(kernel,from,to,need_cnt,max_cnt,from_sub,to_sub){for(var indices=[],i=0,j=0,ssiter=0,idx_i=0,ok=!1;ssiter<1e3;++ssiter){for(i=0;i<need_cnt&&ssiter<1e3;){for(ok=!1,idx_i=0;!ok;)for(ok=!0,idx_i=indices[i]=0|Math.floor(Math.random()*max_cnt),j=0;j<i;++j)if(idx_i==indices[j]){ok=!1;break}from_sub[i]=from[idx_i],to_sub[i]=to[idx_i],kernel.check_subset(from_sub,to_sub,i+1)?++i:ssiter++}break}return i==need_cnt&&ssiter<1e3},find_inliers=function(kernel,model,from,to,count,thresh,err,mask){var numinliers=0,i=0,f=0,t=thresh*thresh;for(kernel.error(from,to,model,err,count);i<count;++i)f=err[i]<=t,mask[i]=f,numinliers+=f;return numinliers};return{ransac:function(params,kernel,from,to,count,model,mask,max_iters){if(void 0===max_iters&&(max_iters=1e3),count<params.size)return!1;var model_points=params.size,niters=max_iters,iter=0,result=!1,subset0=[],subset1=[],mc=model.cols,mr=model.rows,dt=model.type|jsfeat.C1_t,m_buff=jsfeat.cache.get_buffer(mc*mr<<3),ms_buff=jsfeat.cache.get_buffer(count),err_buff=jsfeat.cache.get_buffer(count<<2),M=new jsfeat.matrix_t(mc,mr,dt,m_buff.data),curr_mask=new jsfeat.matrix_t(count,1,jsfeat.U8C1_t,ms_buff.data),inliers_max=-1,numinliers=0,err=err_buff.f32;if(count==model_points){if(kernel.run(from,to,M,count)<=0)return jsfeat.cache.put_buffer(m_buff),jsfeat.cache.put_buffer(ms_buff),jsfeat.cache.put_buffer(err_buff),!1;if(M.copy_to(model),mask)for(;--count>=0;)mask.data[count]=1;return jsfeat.cache.put_buffer(m_buff),jsfeat.cache.put_buffer(ms_buff),jsfeat.cache.put_buffer(err_buff),!0}for(;iter<niters;++iter){if(!get_subset(kernel,from,to,model_points,count,subset0,subset1)){if(0==iter)return jsfeat.cache.put_buffer(m_buff),jsfeat.cache.put_buffer(ms_buff),jsfeat.cache.put_buffer(err_buff),!1;break}kernel.run(subset0,subset1,M,model_points)<=0||(numinliers=find_inliers(kernel,M,from,to,count,params.thresh,err,curr_mask.data))>Math.max(inliers_max,model_points-1)&&(M.copy_to(model),inliers_max=numinliers,mask&&curr_mask.copy_to(mask),niters=params.update_iters((count-numinliers)/count,niters),result=!0)}return jsfeat.cache.put_buffer(m_buff),jsfeat.cache.put_buffer(ms_buff),jsfeat.cache.put_buffer(err_buff),result},lmeds:function(params,kernel,from,to,count,model,mask,max_iters){if(void 0===max_iters&&(max_iters=1e3),count<params.size)return!1;var model_points=params.size,niters=max_iters,iter=0,result=!1,subset0=[],subset1=[],mc=model.cols,mr=model.rows,dt=model.type|jsfeat.C1_t,m_buff=jsfeat.cache.get_buffer(mc*mr<<3),ms_buff=jsfeat.cache.get_buffer(count),err_buff=jsfeat.cache.get_buffer(count<<2),M=new jsfeat.matrix_t(mc,mr,dt,m_buff.data),curr_mask=new jsfeat.matrix_t(count,1,jsfeat.U8_t|jsfeat.C1_t,ms_buff.data),numinliers=0,err=err_buff.f32,min_median=1e9,sigma=0,median=0;if(params.eps=.45,niters=params.update_iters(params.eps,niters),count==model_points){if(kernel.run(from,to,M,count)<=0)return jsfeat.cache.put_buffer(m_buff),jsfeat.cache.put_buffer(ms_buff),jsfeat.cache.put_buffer(err_buff),!1;if(M.copy_to(model),mask)for(;--count>=0;)mask.data[count]=1;return jsfeat.cache.put_buffer(m_buff),jsfeat.cache.put_buffer(ms_buff),jsfeat.cache.put_buffer(err_buff),!0}for(;iter<niters;++iter){if(!get_subset(kernel,from,to,model_points,count,subset0,subset1)){if(0==iter)return jsfeat.cache.put_buffer(m_buff),jsfeat.cache.put_buffer(ms_buff),jsfeat.cache.put_buffer(err_buff),!1;break}kernel.run(subset0,subset1,M,model_points)<=0||(kernel.error(from,to,M,err,count),(median=jsfeat.math.median(err,0,count-1))<min_median&&(min_median=median,M.copy_to(model),result=!0))}return result&&(sigma=2.5*1.4826*(1+5/(count-model_points))*Math.sqrt(min_median),sigma=Math.max(sigma,.001),numinliers=find_inliers(kernel,model,from,to,count,sigma,err,curr_mask.data),mask&&curr_mask.copy_to(mask),result=numinliers>=model_points),jsfeat.cache.put_buffer(m_buff),jsfeat.cache.put_buffer(ms_buff),jsfeat.cache.put_buffer(err_buff),result}}}();global.ransac_params_t=ransac_params_t,global.motion_model=motion_model,global.motion_estimator=motion_estimator}(jsfeat),function(global){var imgproc=function(){var _resample_u8=function(src,dst,nw,nh){for(var xofs_count=0,ch=src.channel,w=src.cols,h=src.rows,src_d=src.data,dst_d=dst.data,scale_x=w/nw,scale_y=h/nh,inv_scale_256=scale_x*scale_y*65536|0,dx=0,dy=0,sx=0,sy=0,sx1=0,sx2=0,i=0,k=0,fsx1=0,fsx2=0,a=0,b=0,dxn=0,alpha=0,beta=0,beta1=0,buf_node=jsfeat.cache.get_buffer(nw*ch<<2),sum_node=jsfeat.cache.get_buffer(nw*ch<<2),xofs_node=jsfeat.cache.get_buffer(2*w*3<<2),buf=buf_node.i32,sum=sum_node.i32,xofs=xofs_node.i32;dx<nw;dx++){for(sx1=(fsx1=dx*scale_x)+1-1e-6|0,sx2=0|(fsx2=fsx1+scale_x),sx1=Math.min(sx1,w-1),sx2=Math.min(sx2,w-1),sx1>fsx1&&(xofs[k++]=dx*ch|0,xofs[k++]=(sx1-1)*ch|0,xofs[k++]=256*(sx1-fsx1)|0,xofs_count++),sx=sx1;sx<sx2;sx++)xofs_count++,xofs[k++]=dx*ch|0,xofs[k++]=sx*ch|0,xofs[k++]=256;fsx2-sx2>.001&&(xofs_count++,xofs[k++]=dx*ch|0,xofs[k++]=sx2*ch|0,xofs[k++]=256*(fsx2-sx2)|0)}for(dx=0;dx<nw*ch;dx++)buf[dx]=sum[dx]=0;for(dy=0,sy=0;sy<h;sy++){for(a=w*sy,k=0;k<xofs_count;k++)for(dxn=xofs[3*k],sx1=xofs[3*k+1],alpha=xofs[3*k+2],i=0;i<ch;i++)buf[dxn+i]+=src_d[a+sx1+i]*alpha;if((dy+1)*scale_y<=sy+1||sy==h-1){if(beta=256*Math.max(sy+1-(dy+1)*scale_y,0)|0,beta1=256-beta,b=nw*dy,beta<=0)for(dx=0;dx<nw*ch;dx++)dst_d[b+dx]=Math.min(Math.max((sum[dx]+256*buf[dx])/inv_scale_256,0),255),sum[dx]=buf[dx]=0;else for(dx=0;dx<nw*ch;dx++)dst_d[b+dx]=Math.min(Math.max((sum[dx]+buf[dx]*beta1)/inv_scale_256,0),255),sum[dx]=buf[dx]*beta,buf[dx]=0;dy++}else for(dx=0;dx<nw*ch;dx++)sum[dx]+=256*buf[dx],buf[dx]=0}jsfeat.cache.put_buffer(sum_node),jsfeat.cache.put_buffer(buf_node),jsfeat.cache.put_buffer(xofs_node)},_resample=function(src,dst,nw,nh){for(var xofs_count=0,ch=src.channel,w=src.cols,h=src.rows,src_d=src.data,dst_d=dst.data,scale_x=w/nw,scale_y=h/nh,scale=1/(scale_x*scale_y),dx=0,dy=0,sx=0,sy=0,sx1=0,sx2=0,i=0,k=0,fsx1=0,fsx2=0,a=0,b=0,dxn=0,alpha=0,beta=0,beta1=0,buf_node=jsfeat.cache.get_buffer(nw*ch<<2),sum_node=jsfeat.cache.get_buffer(nw*ch<<2),xofs_node=jsfeat.cache.get_buffer(2*w*3<<2),buf=buf_node.f32,sum=sum_node.f32,xofs=xofs_node.f32;dx<nw;dx++){for(sx1=(fsx1=dx*scale_x)+1-1e-6|0,sx2=0|(fsx2=fsx1+scale_x),sx1=Math.min(sx1,w-1),sx2=Math.min(sx2,w-1),sx1>fsx1&&(xofs_count++,xofs[k++]=(sx1-1)*ch|0,xofs[k++]=dx*ch|0,xofs[k++]=(sx1-fsx1)*scale),sx=sx1;sx<sx2;sx++)xofs_count++,xofs[k++]=sx*ch|0,xofs[k++]=dx*ch|0,xofs[k++]=scale;fsx2-sx2>.001&&(xofs_count++,xofs[k++]=sx2*ch|0,xofs[k++]=dx*ch|0,xofs[k++]=(fsx2-sx2)*scale)}for(dx=0;dx<nw*ch;dx++)buf[dx]=sum[dx]=0;for(dy=0,sy=0;sy<h;sy++){for(a=w*sy,k=0;k<xofs_count;k++)for(sx1=0|xofs[3*k],dxn=0|xofs[3*k+1],alpha=xofs[3*k+2],i=0;i<ch;i++)buf[dxn+i]+=src_d[a+sx1+i]*alpha;if((dy+1)*scale_y<=sy+1||sy==h-1){if(beta=Math.max(sy+1-(dy+1)*scale_y,0),beta1=1-beta,b=nw*dy,Math.abs(beta)<.001)for(dx=0;dx<nw*ch;dx++)dst_d[b+dx]=sum[dx]+buf[dx],sum[dx]=buf[dx]=0;else for(dx=0;dx<nw*ch;dx++)dst_d[b+dx]=sum[dx]+buf[dx]*beta1,sum[dx]=buf[dx]*beta,buf[dx]=0;dy++}else for(dx=0;dx<nw*ch;dx++)sum[dx]+=buf[dx],buf[dx]=0}jsfeat.cache.put_buffer(sum_node),jsfeat.cache.put_buffer(buf_node),jsfeat.cache.put_buffer(xofs_node)},_convol_u8=function(buf,src_d,dst_d,w,h,filter,kernel_size,half_kernel){for(var i=0,j=0,k=0,sp=0,dp=0,sum=0,sum1=0,sum2=0,sum3=0,f0=filter[0],fk=0,w2=w<<1,w3=3*w,w4=w<<2;i<h;++i){for(sum=src_d[sp],j=0;j<half_kernel;++j)buf[j]=sum;for(j=0;j<=w-2;j+=2)buf[j+half_kernel]=src_d[sp+j],buf[j+half_kernel+1]=src_d[sp+j+1];for(;j<w;++j)buf[j+half_kernel]=src_d[sp+j];for(sum=src_d[sp+w-1],j=w;j<half_kernel+w;++j)buf[j+half_kernel]=sum;for(j=0;j<=w-4;j+=4){for(sum=buf[j]*f0,sum1=buf[j+1]*f0,sum2=buf[j+2]*f0,sum3=buf[j+3]*f0,k=1;k<kernel_size;++k)fk=filter[k],sum+=buf[k+j]*fk,sum1+=buf[k+j+1]*fk,sum2+=buf[k+j+2]*fk,sum3+=buf[k+j+3]*fk;dst_d[dp+j]=Math.min(sum>>8,255),dst_d[dp+j+1]=Math.min(sum1>>8,255),dst_d[dp+j+2]=Math.min(sum2>>8,255),dst_d[dp+j+3]=Math.min(sum3>>8,255)}for(;j<w;++j){for(sum=buf[j]*f0,k=1;k<kernel_size;++k)sum+=buf[k+j]*filter[k];dst_d[dp+j]=Math.min(sum>>8,255)}sp+=w,dp+=w}for(i=0;i<w;++i){for(sum=dst_d[i],j=0;j<half_kernel;++j)buf[j]=sum;for(k=i,j=0;j<=h-2;j+=2,k+=w2)buf[j+half_kernel]=dst_d[k],buf[j+half_kernel+1]=dst_d[k+w];for(;j<h;++j,k+=w)buf[j+half_kernel]=dst_d[k];for(sum=dst_d[(h-1)*w+i],j=h;j<half_kernel+h;++j)buf[j+half_kernel]=sum;for(dp=i,j=0;j<=h-4;j+=4,dp+=w4){for(sum=buf[j]*f0,sum1=buf[j+1]*f0,sum2=buf[j+2]*f0,sum3=buf[j+3]*f0,k=1;k<kernel_size;++k)fk=filter[k],sum+=buf[k+j]*fk,sum1+=buf[k+j+1]*fk,sum2+=buf[k+j+2]*fk,sum3+=buf[k+j+3]*fk;dst_d[dp]=Math.min(sum>>8,255),dst_d[dp+w]=Math.min(sum1>>8,255),dst_d[dp+w2]=Math.min(sum2>>8,255),dst_d[dp+w3]=Math.min(sum3>>8,255)}for(;j<h;++j,dp+=w){for(sum=buf[j]*f0,k=1;k<kernel_size;++k)sum+=buf[k+j]*filter[k];dst_d[dp]=Math.min(sum>>8,255)}}},_convol=function(buf,src_d,dst_d,w,h,filter,kernel_size,half_kernel){for(var i=0,j=0,k=0,sp=0,dp=0,sum=0,sum1=0,sum2=0,sum3=0,f0=filter[0],fk=0,w2=w<<1,w3=3*w,w4=w<<2;i<h;++i){for(sum=src_d[sp],j=0;j<half_kernel;++j)buf[j]=sum;for(j=0;j<=w-2;j+=2)buf[j+half_kernel]=src_d[sp+j],buf[j+half_kernel+1]=src_d[sp+j+1];for(;j<w;++j)buf[j+half_kernel]=src_d[sp+j];for(sum=src_d[sp+w-1],j=w;j<half_kernel+w;++j)buf[j+half_kernel]=sum;for(j=0;j<=w-4;j+=4){for(sum=buf[j]*f0,sum1=buf[j+1]*f0,sum2=buf[j+2]*f0,sum3=buf[j+3]*f0,k=1;k<kernel_size;++k)fk=filter[k],sum+=buf[k+j]*fk,sum1+=buf[k+j+1]*fk,sum2+=buf[k+j+2]*fk,sum3+=buf[k+j+3]*fk;dst_d[dp+j]=sum,dst_d[dp+j+1]=sum1,dst_d[dp+j+2]=sum2,dst_d[dp+j+3]=sum3}for(;j<w;++j){for(sum=buf[j]*f0,k=1;k<kernel_size;++k)sum+=buf[k+j]*filter[k];dst_d[dp+j]=sum}sp+=w,dp+=w}for(i=0;i<w;++i){for(sum=dst_d[i],j=0;j<half_kernel;++j)buf[j]=sum;for(k=i,j=0;j<=h-2;j+=2,k+=w2)buf[j+half_kernel]=dst_d[k],buf[j+half_kernel+1]=dst_d[k+w];for(;j<h;++j,k+=w)buf[j+half_kernel]=dst_d[k];for(sum=dst_d[(h-1)*w+i],j=h;j<half_kernel+h;++j)buf[j+half_kernel]=sum;for(dp=i,j=0;j<=h-4;j+=4,dp+=w4){for(sum=buf[j]*f0,sum1=buf[j+1]*f0,sum2=buf[j+2]*f0,sum3=buf[j+3]*f0,k=1;k<kernel_size;++k)fk=filter[k],sum+=buf[k+j]*fk,sum1+=buf[k+j+1]*fk,sum2+=buf[k+j+2]*fk,sum3+=buf[k+j+3]*fk;dst_d[dp]=sum,dst_d[dp+w]=sum1,dst_d[dp+w2]=sum2,dst_d[dp+w3]=sum3}for(;j<h;++j,dp+=w){for(sum=buf[j]*f0,k=1;k<kernel_size;++k)sum+=buf[k+j]*filter[k];dst_d[dp]=sum}}};return{grayscale:function(src,w,h,dst,code){void 0===code&&(code=jsfeat.COLOR_RGBA2GRAY);var x=0,y=0,i=0,j=0,ir=0,jr=0,coeff_r=4899,coeff_b=1868,cn=4;code!=jsfeat.COLOR_BGRA2GRAY&&code!=jsfeat.COLOR_BGR2GRAY||(coeff_r=1868,coeff_b=4899),code!=jsfeat.COLOR_RGB2GRAY&&code!=jsfeat.COLOR_BGR2GRAY||(cn=3);var cn2=cn<<1,cn3=3*cn|0;dst.resize(w,h,1);var dst_u8=dst.data;for(y=0;y<h;++y,j+=w,i+=w*cn){for(x=0,ir=i,jr=j;x<=w-4;x+=4,ir+=cn<<2,jr+=4)dst_u8[jr]=src[ir]*coeff_r+9617*src[ir+1]+src[ir+2]*coeff_b+8192>>14,dst_u8[jr+1]=src[ir+cn]*coeff_r+9617*src[ir+cn+1]+src[ir+cn+2]*coeff_b+8192>>14,dst_u8[jr+2]=src[ir+cn2]*coeff_r+9617*src[ir+cn2+1]+src[ir+cn2+2]*coeff_b+8192>>14,dst_u8[jr+3]=src[ir+cn3]*coeff_r+9617*src[ir+cn3+1]+src[ir+cn3+2]*coeff_b+8192>>14;for(;x<w;++x,++jr,ir+=cn)dst_u8[jr]=src[ir]*coeff_r+9617*src[ir+1]+src[ir+2]*coeff_b+8192>>14}},resample:function(src,dst,nw,nh){var h=src.rows,w=src.cols;h>nh&&w>nw&&(dst.resize(nw,nh,src.channel),src.type&jsfeat.U8_t&&dst.type&jsfeat.U8_t&&h*w/(nh*nw)<256?_resample_u8(src,dst,nw,nh):_resample(src,dst,nw,nh))},box_blur_gray:function(src,dst,radius,options){void 0===options&&(options=0);var w=src.cols,h=src.rows,h2=h<<1,w2=w<<1,i=0,x=0,y=0,end=0,windowSize=1+(radius<<1)|0,radiusPlusOne=radius+1|0,radiusPlus2=radiusPlusOne+1|0,scale=options&jsfeat.BOX_BLUR_NOSCALE?1:1/(windowSize*windowSize),tmp_buff=jsfeat.cache.get_buffer(w*h<<2),sum=0,dstIndex=0,srcIndex=0,nextPixelIndex=0,previousPixelIndex=0,data_i32=tmp_buff.i32,data_u8=src.data,hold=0;for(dst.resize(w,h,src.channel),y=0;y<h;++y){for(dstIndex=y,sum=radiusPlusOne*data_u8[srcIndex],i=srcIndex+1|0,end=srcIndex+radius|0;i<=end;++i)sum+=data_u8[i];for(nextPixelIndex=srcIndex+radiusPlusOne|0,hold=data_u8[previousPixelIndex=srcIndex],x=0;x<radius;++x,dstIndex+=h)data_i32[dstIndex]=sum,sum+=data_u8[nextPixelIndex]-hold,nextPixelIndex++;for(;x<w-radiusPlus2;x+=2,dstIndex+=h2)data_i32[dstIndex]=sum,sum+=data_u8[nextPixelIndex]-data_u8[previousPixelIndex],data_i32[dstIndex+h]=sum,sum+=data_u8[nextPixelIndex+1]-data_u8[previousPixelIndex+1],nextPixelIndex+=2,previousPixelIndex+=2;for(;x<w-radiusPlusOne;++x,dstIndex+=h)data_i32[dstIndex]=sum,sum+=data_u8[nextPixelIndex]-data_u8[previousPixelIndex],nextPixelIndex++,previousPixelIndex++;for(hold=data_u8[nextPixelIndex-1];x<w;++x,dstIndex+=h)data_i32[dstIndex]=sum,sum+=hold-data_u8[previousPixelIndex],previousPixelIndex++;srcIndex+=w}if(srcIndex=0,data_u8=dst.data,1==scale)for(y=0;y<w;++y){for(dstIndex=y,sum=radiusPlusOne*data_i32[srcIndex],i=srcIndex+1|0,end=srcIndex+radius|0;i<=end;++i)sum+=data_i32[i];for(nextPixelIndex=srcIndex+radiusPlusOne,hold=data_i32[previousPixelIndex=srcIndex],x=0;x<radius;++x,dstIndex+=w)data_u8[dstIndex]=sum,sum+=data_i32[nextPixelIndex]-hold,nextPixelIndex++;for(;x<h-radiusPlus2;x+=2,dstIndex+=w2)data_u8[dstIndex]=sum,sum+=data_i32[nextPixelIndex]-data_i32[previousPixelIndex],data_u8[dstIndex+w]=sum,sum+=data_i32[nextPixelIndex+1]-data_i32[previousPixelIndex+1],nextPixelIndex+=2,previousPixelIndex+=2;for(;x<h-radiusPlusOne;++x,dstIndex+=w)data_u8[dstIndex]=sum,sum+=data_i32[nextPixelIndex]-data_i32[previousPixelIndex],nextPixelIndex++,previousPixelIndex++;for(hold=data_i32[nextPixelIndex-1];x<h;++x,dstIndex+=w)data_u8[dstIndex]=sum,sum+=hold-data_i32[previousPixelIndex],previousPixelIndex++;srcIndex+=h}else for(y=0;y<w;++y){for(dstIndex=y,sum=radiusPlusOne*data_i32[srcIndex],i=srcIndex+1|0,end=srcIndex+radius|0;i<=end;++i)sum+=data_i32[i];for(nextPixelIndex=srcIndex+radiusPlusOne,hold=data_i32[previousPixelIndex=srcIndex],x=0;x<radius;++x,dstIndex+=w)data_u8[dstIndex]=sum*scale,sum+=data_i32[nextPixelIndex]-hold,nextPixelIndex++;for(;x<h-radiusPlus2;x+=2,dstIndex+=w2)data_u8[dstIndex]=sum*scale,sum+=data_i32[nextPixelIndex]-data_i32[previousPixelIndex],data_u8[dstIndex+w]=sum*scale,sum+=data_i32[nextPixelIndex+1]-data_i32[previousPixelIndex+1],nextPixelIndex+=2,previousPixelIndex+=2;for(;x<h-radiusPlusOne;++x,dstIndex+=w)data_u8[dstIndex]=sum*scale,sum+=data_i32[nextPixelIndex]-data_i32[previousPixelIndex],nextPixelIndex++,previousPixelIndex++;for(hold=data_i32[nextPixelIndex-1];x<h;++x,dstIndex+=w)data_u8[dstIndex]=sum*scale,sum+=hold-data_i32[previousPixelIndex],previousPixelIndex++;srcIndex+=h}jsfeat.cache.put_buffer(tmp_buff)},gaussian_blur:function(src,dst,kernel_size,sigma){void 0===sigma&&(sigma=0),void 0===kernel_size&&(kernel_size=0);var half_kernel=(kernel_size=0==kernel_size?2*Math.max(1,4*sigma+1-1e-8)+1|0:kernel_size)>>1,w=src.cols,h=src.rows,data_type=src.type,is_u8=data_type&jsfeat.U8_t;dst.resize(w,h,src.channel);var buf,filter,src_d=src.data,dst_d=dst.data,buf_sz=kernel_size+Math.max(h,w)|0,buf_node=jsfeat.cache.get_buffer(buf_sz<<2),filt_node=jsfeat.cache.get_buffer(kernel_size<<2);is_u8?(buf=buf_node.i32,filter=filt_node.i32):data_type&jsfeat.S32_t?(buf=buf_node.i32,filter=filt_node.f32):(buf=buf_node.f32,filter=filt_node.f32),jsfeat.math.get_gaussian_kernel(kernel_size,sigma,filter,data_type),is_u8?_convol_u8(buf,src_d,dst_d,w,h,filter,kernel_size,half_kernel):_convol(buf,src_d,dst_d,w,h,filter,kernel_size,half_kernel),jsfeat.cache.put_buffer(buf_node),jsfeat.cache.put_buffer(filt_node)},hough_transform:function(img,rho_res,theta_res,threshold){var image=img.data,width=img.cols,height=img.rows,step=width;min_theta=0,max_theta=Math.PI,numangle=Math.round((max_theta-min_theta)/theta_res),numrho=Math.round((2*(width+height)+1)/rho_res),irho=1/rho_res;for(var accum=new Int32Array((numangle+2)*(numrho+2)),tabSin=new Float32Array(numangle),tabCos=new Float32Array(numangle),n=0,ang=min_theta;n<numangle;n++)tabSin[n]=Math.sin(ang)*irho,tabCos[n]=Math.cos(ang)*irho,ang+=theta_res;for(i=0;i<height;i++)for(var j=0;j<width;j++)if(0!=image[i*step+j])for(n=0;n<numangle;n++){r=Math.round(j*tabCos[n]+i*tabSin[n]);r+=(numrho-1)/2,accum[(n+1)*(numrho+2)+r+1]+=1}_sort_buf=new Array;for(var r=0;r<numrho;r++)for(n=0;n<numangle;n++){var base=(n+1)*(numrho+2)+r+1;accum[base]>threshold&&accum[base]>accum[base-1]&&accum[base]>=accum[base+1]&&accum[base]>accum[base-numrho-2]&&accum[base]>=accum[base+numrho+2]&&_sort_buf.push(base)}_sort_buf.sort(function(l1,l2){return accum[l1]>accum[l2]||accum[l1]==accum[l2]&&l1<l2}),linesMax=Math.min(numangle*numrho,_sort_buf.length),scale=1/(numrho+2),lines=new Array;for(var i=0;i<linesMax;i++){var idx=_sort_buf[i],lrho=((r=idx-((n=Math.floor(idx*scale)-1)+1)*(numrho+2)-1)-.5*(numrho-1))*rho_res,langle=n*theta_res;lines.push([lrho,langle])}return lines},pyrdown:function(src,dst,sx,sy){void 0===sx&&(sx=0),void 0===sy&&(sy=0);var w=src.cols,w2=w>>1,h2=src.rows>>1,_w2=w2-(sx<<1),_h2=h2-(sy<<1),x=0,y=0,sptr=sx+sy*w,sline=0,dptr=0,dline=0;dst.resize(w2,h2,src.channel);var src_d=src.data,dst_d=dst.data;for(y=0;y<_h2;++y){for(sline=sptr,dline=dptr,x=0;x<=_w2-2;x+=2,dline+=2,sline+=4)dst_d[dline]=src_d[sline]+src_d[sline+1]+src_d[sline+w]+src_d[sline+w+1]+2>>2,dst_d[dline+1]=src_d[sline+2]+src_d[sline+3]+src_d[sline+w+2]+src_d[sline+w+3]+2>>2;for(;x<_w2;++x,++dline,sline+=2)dst_d[dline]=src_d[sline]+src_d[sline+1]+src_d[sline+w]+src_d[sline+w+1]+2>>2;sptr+=w<<1,dptr+=w2}},scharr_derivatives:function(src,dst){var a,b,c,d,e,f,trow0,trow1,w=src.cols,h=src.rows,dstep=w<<1,x=0,y=0,x1=0,srow0=0,srow1=0,srow2=0,drow=0;dst.resize(w,h,2);var img=src.data,gxgy=dst.data,buf0_node=jsfeat.cache.get_buffer(w+2<<2),buf1_node=jsfeat.cache.get_buffer(w+2<<2);for(src.type&jsfeat.U8_t||src.type&jsfeat.S32_t?(trow0=buf0_node.i32,trow1=buf1_node.i32):(trow0=buf0_node.f32,trow1=buf1_node.f32);y<h;++y,srow1+=w){for(srow0=(y>0?y-1:1)*w|0,srow2=(y<h-1?y+1:h-2)*w|0,drow=y*dstep|0,x=0,x1=1;x<=w-2;x+=2,x1+=2)a=img[srow0+x],b=img[srow2+x],trow0[x1]=3*(a+b)+10*img[srow1+x],trow1[x1]=b-a,a=img[srow0+x+1],b=img[srow2+x+1],trow0[x1+1]=3*(a+b)+10*img[srow1+x+1],trow1[x1+1]=b-a;for(;x<w;++x,++x1)a=img[srow0+x],b=img[srow2+x],trow0[x1]=3*(a+b)+10*img[srow1+x],trow1[x1]=b-a;for(x=w+1|0,trow0[0]=trow0[1],trow0[x]=trow0[w],trow1[0]=trow1[1],trow1[x]=trow1[w],x=0;x<=w-4;x+=4)a=trow1[x+2],b=trow1[x+1],c=trow1[x+3],d=trow1[x+4],e=trow0[x+2],f=trow0[x+3],gxgy[drow++]=e-trow0[x],gxgy[drow++]=3*(a+trow1[x])+10*b,gxgy[drow++]=f-trow0[x+1],gxgy[drow++]=3*(c+b)+10*a,gxgy[drow++]=trow0[x+4]-e,gxgy[drow++]=3*(d+a)+10*c,gxgy[drow++]=trow0[x+5]-f,gxgy[drow++]=3*(trow1[x+5]+c)+10*d;for(;x<w;++x)gxgy[drow++]=trow0[x+2]-trow0[x],gxgy[drow++]=3*(trow1[x+2]+trow1[x])+10*trow1[x+1]}jsfeat.cache.put_buffer(buf0_node),jsfeat.cache.put_buffer(buf1_node)},sobel_derivatives:function(src,dst){var a,b,c,d,e,f,trow0,trow1,w=src.cols,h=src.rows,dstep=w<<1,x=0,y=0,x1=0,srow0=0,srow1=0,srow2=0,drow=0;dst.resize(w,h,2);var img=src.data,gxgy=dst.data,buf0_node=jsfeat.cache.get_buffer(w+2<<2),buf1_node=jsfeat.cache.get_buffer(w+2<<2);for(src.type&jsfeat.U8_t||src.type&jsfeat.S32_t?(trow0=buf0_node.i32,trow1=buf1_node.i32):(trow0=buf0_node.f32,trow1=buf1_node.f32);y<h;++y,srow1+=w){for(srow0=(y>0?y-1:1)*w|0,srow2=(y<h-1?y+1:h-2)*w|0,drow=y*dstep|0,x=0,x1=1;x<=w-2;x+=2,x1+=2)a=img[srow0+x],b=img[srow2+x],trow0[x1]=a+b+2*img[srow1+x],trow1[x1]=b-a,a=img[srow0+x+1],b=img[srow2+x+1],trow0[x1+1]=a+b+2*img[srow1+x+1],trow1[x1+1]=b-a;for(;x<w;++x,++x1)a=img[srow0+x],b=img[srow2+x],trow0[x1]=a+b+2*img[srow1+x],trow1[x1]=b-a;for(x=w+1|0,trow0[0]=trow0[1],trow0[x]=trow0[w],trow1[0]=trow1[1],trow1[x]=trow1[w],x=0;x<=w-4;x+=4)a=trow1[x+2],b=trow1[x+1],c=trow1[x+3],d=trow1[x+4],e=trow0[x+2],f=trow0[x+3],gxgy[drow++]=e-trow0[x],gxgy[drow++]=a+trow1[x]+2*b,gxgy[drow++]=f-trow0[x+1],gxgy[drow++]=c+b+2*a,gxgy[drow++]=trow0[x+4]-e,gxgy[drow++]=d+a+2*c,gxgy[drow++]=trow0[x+5]-f,gxgy[drow++]=trow1[x+5]+c+2*d;for(;x<w;++x)gxgy[drow++]=trow0[x+2]-trow0[x],gxgy[drow++]=trow1[x+2]+trow1[x]+2*trow1[x+1]}jsfeat.cache.put_buffer(buf0_node),jsfeat.cache.put_buffer(buf1_node)},compute_integral_image:function(src,dst_sum,dst_sqsum,dst_tilted){var w0=0|src.cols,h0=0|src.rows,src_d=src.data,w1=w0+1|0,s=0,s2=0,p=0,pup=0,i=0,j=0,v=0,k=0;if(dst_sum&&dst_sqsum){for(;i<w1;++i)dst_sum[i]=0,dst_sqsum[i]=0;for(p=w1+1|0,pup=1,i=0,k=0;i<h0;++i,++p,++pup){for(s=s2=0,j=0;j<=w0-2;j+=2,k+=2,p+=2,pup+=2)s+=v=src_d[k],s2+=v*v,dst_sum[p]=dst_sum[pup]+s,dst_sqsum[p]=dst_sqsum[pup]+s2,s+=v=src_d[k+1],s2+=v*v,dst_sum[p+1]=dst_sum[pup+1]+s,dst_sqsum[p+1]=dst_sqsum[pup+1]+s2;for(;j<w0;++j,++k,++p,++pup)s+=v=src_d[k],s2+=v*v,dst_sum[p]=dst_sum[pup]+s,dst_sqsum[p]=dst_sqsum[pup]+s2}}else if(dst_sum){for(;i<w1;++i)dst_sum[i]=0;for(p=w1+1|0,pup=1,i=0,k=0;i<h0;++i,++p,++pup){for(s=0,j=0;j<=w0-2;j+=2,k+=2,p+=2,pup+=2)s+=src_d[k],dst_sum[p]=dst_sum[pup]+s,s+=src_d[k+1],dst_sum[p+1]=dst_sum[pup+1]+s;for(;j<w0;++j,++k,++p,++pup)s+=src_d[k],dst_sum[p]=dst_sum[pup]+s}}else if(dst_sqsum){for(;i<w1;++i)dst_sqsum[i]=0;for(p=w1+1|0,pup=1,i=0,k=0;i<h0;++i,++p,++pup){for(s2=0,j=0;j<=w0-2;j+=2,k+=2,p+=2,pup+=2)s2+=(v=src_d[k])*v,dst_sqsum[p]=dst_sqsum[pup]+s2,s2+=(v=src_d[k+1])*v,dst_sqsum[p+1]=dst_sqsum[pup+1]+s2;for(;j<w0;++j,++k,++p,++pup)s2+=(v=src_d[k])*v,dst_sqsum[p]=dst_sqsum[pup]+s2}}if(dst_tilted){for(i=0;i<w1;++i)dst_tilted[i]=0;for(p=w1+1|0,pup=0,i=0,k=0;i<h0;++i,++p,++pup){for(j=0;j<=w0-2;j+=2,k+=2,p+=2,pup+=2)dst_tilted[p]=src_d[k]+dst_tilted[pup],dst_tilted[p+1]=src_d[k+1]+dst_tilted[pup+1];for(;j<w0;++j,++k,++p,++pup)dst_tilted[p]=src_d[k]+dst_tilted[pup]}for(p=w1+w0|0,pup=w0,i=0;i<h0;++i,p+=w1,pup+=w1)dst_tilted[p]+=dst_tilted[pup];for(j=w0-1;j>0;--j)for(pup=(p=j+h0*w1)-w1,i=h0;i>0;--i,p-=w1,pup-=w1)dst_tilted[p]+=dst_tilted[pup]+dst_tilted[pup+1]}},equalize_histogram:function(src,dst){var w=src.cols,h=src.rows,src_d=src.data;dst.resize(w,h,src.channel);var hist0,norm,dst_d=dst.data,size=w*h,i=0,prev=0,hist0_node=jsfeat.cache.get_buffer(1024);for(hist0=hist0_node.i32;i<256;++i)hist0[i]=0;for(i=0;i<size;++i)++hist0[src_d[i]];for(prev=hist0[0],i=1;i<256;++i)prev=hist0[i]+=prev;for(norm=255/size,i=0;i<size;++i)dst_d[i]=hist0[src_d[i]]*norm+.5|0;jsfeat.cache.put_buffer(hist0_node)},canny:function(src,dst,low_thresh,high_thresh){var w=src.cols,h=src.rows;src.data;dst.resize(w,h,src.channel);var dst_d=dst.data,i=0,j=0,grad=0,w2=w<<1,_grad=0,suppress=0,f=0,x=0,y=0,s=0,tg22x=0,tg67x=0,dxdy_node=jsfeat.cache.get_buffer(h*w2<<2),buf_node=jsfeat.cache.get_buffer(3*(w+2)<<2),map_node=jsfeat.cache.get_buffer((h+2)*(w+2)<<2),stack_node=jsfeat.cache.get_buffer(h*w<<2),buf=buf_node.i32,map=map_node.i32,stack=stack_node.i32,dxdy=dxdy_node.i32,dxdy_m=new jsfeat.matrix_t(w,h,jsfeat.S32C2_t,dxdy_node.data),row0=1,row1=w+2+1|0,row2=2*(w+2)+1|0,map_w=w+2|0,map_i=map_w+1|0,stack_i=0;for(this.sobel_derivatives(src,dxdy_m),low_thresh>high_thresh&&(i=low_thresh,low_thresh=high_thresh,high_thresh=i),i=3*(w+2)|0;--i>=0;)buf[i]=0;for(i=(h+2)*(w+2)|0;--i>=0;)map[i]=0;for(;j<w;++j,grad+=2)x=dxdy[grad],y=dxdy[grad+1],buf[row1+j]=(x^x>>31)-(x>>31)+((y^y>>31)-(y>>31));for(i=1;i<=h;++i,grad+=w2){if(i==h)for(j=row2+w;--j>=row2;)buf[j]=0;else for(j=0;j<w;j++)x=dxdy[grad+(j<<1)],y=dxdy[grad+(j<<1)+1],buf[row2+j]=(x^x>>31)-(x>>31)+((y^y>>31)-(y>>31));for(_grad=grad-w2|0,map[map_i-1]=0,suppress=0,j=0;j<w;++j,_grad+=2){if((f=buf[row1+j])>low_thresh)if(x=dxdy[_grad],y=dxdy[_grad+1],s=x^y,x=(x^x>>31)-(x>>31)|0,y=(y^y>>31)-(y>>31)|0,tg22x=13573*x,tg67x=tg22x+(x+x<<15),(y<<=15)<tg22x){if(f>buf[row1+j-1]&&f>=buf[row1+j+1]){f>high_thresh&&!suppress&&2!=map[map_i+j-map_w]?(map[map_i+j]=2,suppress=1,stack[stack_i++]=map_i+j):map[map_i+j]=1;continue}}else if(y>tg67x){if(f>buf[row0+j]&&f>=buf[row2+j]){f>high_thresh&&!suppress&&2!=map[map_i+j-map_w]?(map[map_i+j]=2,suppress=1,stack[stack_i++]=map_i+j):map[map_i+j]=1;continue}}else if(s=s<0?-1:1,f>buf[row0+j-s]&&f>buf[row2+j+s]){f>high_thresh&&!suppress&&2!=map[map_i+j-map_w]?(map[map_i+j]=2,suppress=1,stack[stack_i++]=map_i+j):map[map_i+j]=1;continue}map[map_i+j]=0,suppress=0}map[map_i+w]=0,map_i+=map_w,j=row0,row0=row1,row1=row2,row2=j}for(j=map_i-map_w-1,i=0;i<map_w;++i,++j)map[j]=0;for(;stack_i>0;)map_i=stack[--stack_i],1==map[map_i-=map_w+1]&&(map[map_i]=2,stack[stack_i++]=map_i),1==map[map_i+=1]&&(map[map_i]=2,stack[stack_i++]=map_i),1==map[map_i+=1]&&(map[map_i]=2,stack[stack_i++]=map_i),1==map[map_i+=map_w]&&(map[map_i]=2,stack[stack_i++]=map_i),1==map[map_i-=2]&&(map[map_i]=2,stack[stack_i++]=map_i),1==map[map_i+=map_w]&&(map[map_i]=2,stack[stack_i++]=map_i),1==map[map_i+=1]&&(map[map_i]=2,stack[stack_i++]=map_i),1==map[map_i+=1]&&(map[map_i]=2,stack[stack_i++]=map_i);for(map_i=map_w+1,row0=0,i=0;i<h;++i,map_i+=map_w)for(j=0;j<w;++j)dst_d[row0++]=255*(2==map[map_i+j]);jsfeat.cache.put_buffer(dxdy_node),jsfeat.cache.put_buffer(buf_node),jsfeat.cache.put_buffer(map_node),jsfeat.cache.put_buffer(stack_node)},warp_perspective:function(src,dst,transform,fill_value){void 0===fill_value&&(fill_value=0);for(var src_width=0|src.cols,src_height=0|src.rows,dst_width=0|dst.cols,dst_height=0|dst.rows,src_d=src.data,dst_d=dst.data,x=0,y=0,off=0,ixs=0,iys=0,xs=0,ys=0,xs0=0,ys0=0,ws=0,sc=0,a=0,b=0,p0=0,p1=0,td=transform.data,m00=td[0],m01=td[1],m02=td[2],m10=td[3],m11=td[4],m12=td[5],m20=td[6],m21=td[7],m22=td[8],dptr=0;y<dst_height;++y)for(xs0=m01*y+m02,ys0=m11*y+m12,ws=m21*y+m22,x=0;x<dst_width;++x,++dptr,xs0+=m00,ys0+=m10,ws+=m20)ixs=0|(xs=xs0*(sc=1/ws)),iys=0|(ys=ys0*sc),xs>0&&ys>0&&ixs<src_width-1&&iys<src_height-1?(a=Math.max(xs-ixs,0),b=Math.max(ys-iys,0),p0=src_d[off=src_width*iys+ixs|0]+a*(src_d[off+1]-src_d[off]),p1=src_d[off+src_width]+a*(src_d[off+src_width+1]-src_d[off+src_width]),dst_d[dptr]=p0+b*(p1-p0)):dst_d[dptr]=fill_value},warp_affine:function(src,dst,transform,fill_value){void 0===fill_value&&(fill_value=0);for(var src_width=src.cols,src_height=src.rows,dst_width=dst.cols,dst_height=dst.rows,src_d=src.data,dst_d=dst.data,x=0,y=0,off=0,ixs=0,iys=0,xs=0,ys=0,a=0,b=0,p0=0,p1=0,td=transform.data,m00=td[0],m01=td[1],m02=td[2],m10=td[3],m11=td[4],m12=td[5],dptr=0;y<dst_height;++y)for(xs=m01*y+m02,ys=m11*y+m12,x=0;x<dst_width;++x,++dptr,xs+=m00,ys+=m10)iys=0|ys,(ixs=0|xs)>=0&&iys>=0&&ixs<src_width-1&&iys<src_height-1?(a=xs-ixs,b=ys-iys,p0=src_d[off=src_width*iys+ixs]+a*(src_d[off+1]-src_d[off]),p1=src_d[off+src_width]+a*(src_d[off+src_width+1]-src_d[off+src_width]),dst_d[dptr]=p0+b*(p1-p0)):dst_d[dptr]=fill_value},skindetector:function(src,dst){for(var r,g,b,j,i=src.width*src.height;i--;)j=4*i,r=src.data[j],g=src.data[j+1],b=src.data[j+2],r>95&&g>40&&b>20&&r>g&&r>b&&r-Math.min(g,b)>15&&Math.abs(r-g)>15?dst[i]=255:dst[i]=0}}}();global.imgproc=imgproc}(jsfeat),function(global){var fast_corners=function(){var offsets16=new Int32Array([0,3,1,3,2,2,3,1,3,0,3,-1,2,-2,1,-3,0,-3,-1,-3,-2,-2,-3,-1,-3,0,-3,1,-2,2,-1,3]),threshold_tab=new Uint8Array(512),pixel_off=new Int32Array(25),score_diff=new Int32Array(25),_cmp_offsets=function(pixel,step,pattern_size){for(var k=0,offsets=offsets16;k<pattern_size;++k)pixel[k]=offsets[k<<1]+offsets[1+(k<<1)]*step;for(;k<25;++k)pixel[k]=pixel[k-pattern_size]},_cmp_score_16=function(src,off,pixel,d,threshold){for(var k=0,v=src[off],a0=threshold,a=0,b0=0,b=0;k<25;++k)d[k]=v-src[off+pixel[k]];for(k=0;k<16;k+=2)a=Math.min(d[k+1],d[k+2]),(a=Math.min(a,d[k+3]))<=a0||(a=Math.min(a,d[k+4]),a=Math.min(a,d[k+5]),a=Math.min(a,d[k+6]),a=Math.min(a,d[k+7]),a=Math.min(a,d[k+8]),a0=Math.max(a0,Math.min(a,d[k])),a0=Math.max(a0,Math.min(a,d[k+9])));for(b0=-a0,k=0;k<16;k+=2)b=Math.max(d[k+1],d[k+2]),b=Math.max(b,d[k+3]),b=Math.max(b,d[k+4]),(b=Math.max(b,d[k+5]))>=b0||(b=Math.max(b,d[k+6]),b=Math.max(b,d[k+7]),b=Math.max(b,d[k+8]),b0=Math.min(b0,Math.max(b,d[k])),b0=Math.min(b0,Math.max(b,d[k+9])));return-b0-1},_threshold=20;return{set_threshold:function(threshold){_threshold=Math.min(Math.max(threshold,0),255);for(var i=-255;i<=255;++i)threshold_tab[i+255]=i<-_threshold?1:i>_threshold?2:0;return _threshold},detect:function(src,corners,border){void 0===border&&(border=3);var pt,img=src.data,w=src.cols,h=src.rows,i=0,j=0,k=0,vt=0,m3=0,buf_node=jsfeat.cache.get_buffer(3*w),cpbuf_node=jsfeat.cache.get_buffer(3*(w+1)<<2),buf=buf_node.u8,cpbuf=cpbuf_node.i32,pixel=pixel_off,sd=score_diff,sy=Math.max(3,border),ey=Math.min(h-2,h-border),sx=Math.max(3,border),ex=Math.min(w-3,w-border),_count=0,corners_cnt=0,score_func=_cmp_score_16,thresh_tab=threshold_tab,threshold=_threshold,v=0,tab=0,d=0,ncorners=0,cornerpos=0,curr=0,ptr=0,prev=0,pprev=0,jp1=0,jm1=0,score=0;_cmp_offsets(pixel,w,16);var pixel0=pixel[0],pixel1=pixel[1],pixel2=pixel[2],pixel3=pixel[3],pixel4=pixel[4],pixel5=pixel[5],pixel6=pixel[6],pixel7=pixel[7],pixel8=pixel[8],pixel9=pixel[9],pixel10=pixel[10],pixel11=pixel[11],pixel12=pixel[12],pixel13=pixel[13],pixel14=pixel[14],pixel15=pixel[15];for(i=0;i<3*w;++i)buf[i]=0;for(i=sy;i<ey;++i){for(ptr=i*w+sx|0,curr=(m3=(i-3)%3)*w|0,cornerpos=m3*(w+1)|0,j=0;j<w;++j)buf[curr+j]=0;if(ncorners=0,i<ey-1)for(j=sx;j<ex;++j,++ptr)if(v=img[ptr],tab=255-v,0!=(d=thresh_tab[tab+img[ptr+pixel0]]|thresh_tab[tab+img[ptr+pixel8]])&&(d&=thresh_tab[tab+img[ptr+pixel2]]|thresh_tab[tab+img[ptr+pixel10]],d&=thresh_tab[tab+img[ptr+pixel4]]|thresh_tab[tab+img[ptr+pixel12]],0!=(d&=thresh_tab[tab+img[ptr+pixel6]]|thresh_tab[tab+img[ptr+pixel14]]))){if(d&=thresh_tab[tab+img[ptr+pixel1]]|thresh_tab[tab+img[ptr+pixel9]],d&=thresh_tab[tab+img[ptr+pixel3]]|thresh_tab[tab+img[ptr+pixel11]],d&=thresh_tab[tab+img[ptr+pixel5]]|thresh_tab[tab+img[ptr+pixel13]],1&(d&=thresh_tab[tab+img[ptr+pixel7]]|thresh_tab[tab+img[ptr+pixel15]]))for(vt=v-threshold,_count=0,k=0;k<25;++k)if(img[ptr+pixel[k]]<vt){if(++_count>8){cpbuf[cornerpos+ ++ncorners]=j,buf[curr+j]=score_func(img,ptr,pixel,sd,threshold);break}}else _count=0;if(2&d)for(vt=v+threshold,_count=0,k=0;k<25;++k)if(img[ptr+pixel[k]]>vt){if(++_count>8){cpbuf[cornerpos+ ++ncorners]=j,buf[curr+j]=score_func(img,ptr,pixel,sd,threshold);break}}else _count=0}if(cpbuf[cornerpos+w]=ncorners,i!=sy)for(prev=(m3=(i-4+3)%3)*w|0,cornerpos=m3*(w+1)|0,pprev=(m3=(i-5+3)%3)*w|0,ncorners=cpbuf[cornerpos+w],k=0;k<ncorners;++k)jp1=(j=cpbuf[cornerpos+k])+1|0,jm1=j-1|0,(score=buf[prev+j])>buf[prev+jp1]&&score>buf[prev+jm1]&&score>buf[pprev+jm1]&&score>buf[pprev+j]&&score>buf[pprev+jp1]&&score>buf[curr+jm1]&&score>buf[curr+j]&&score>buf[curr+jp1]&&((pt=corners[corners_cnt]).x=j,pt.y=i-1,pt.score=score,corners_cnt++)}return jsfeat.cache.put_buffer(buf_node),jsfeat.cache.put_buffer(cpbuf_node),corners_cnt}}}();global.fast_corners=fast_corners,fast_corners.set_threshold(20)}(jsfeat),function(global){var yape06=function(){var compute_laplacian=function(src,dst,w,h,Dxx,Dyy,sx,sy,ex,ey){var y=0,x=0,yrow=sy*w+sx|0,row=yrow;for(y=sy;y<ey;++y,yrow+=w,row=yrow)for(x=sx;x<ex;++x,++row)dst[row]=-4*src[row]+src[row+Dxx]+src[row-Dxx]+src[row+Dyy]+src[row-Dyy]},hessian_min_eigen_value=function(src,off,tr,Dxx,Dyy,Dxy,Dyx){var Ixx=-2*src[off]+src[off+Dxx]+src[off-Dxx],Iyy=-2*src[off]+src[off+Dyy]+src[off-Dyy],Ixy=src[off+Dxy]+src[off-Dxy]-src[off+Dyx]-src[off-Dyx],sqrt_delta=0|Math.sqrt((Ixx-Iyy)*(Ixx-Iyy)+4*Ixy*Ixy);return Math.min(Math.abs(tr-sqrt_delta),Math.abs(-(tr+sqrt_delta)))};return{laplacian_threshold:30,min_eigen_value_threshold:25,detect:function(src,points,border){void 0===border&&(border=5);var pt,x=0,y=0,w=src.cols,h=src.rows,srd_d=src.data,Dyy=5*w|0,Dxy=3+3*w|0,Dyx=3-3*w|0,lap_buf=jsfeat.cache.get_buffer(w*h<<2),laplacian=lap_buf.i32,lv=0,row=0,rowx=0,min_eigen_value=0,number_of_points=0,lap_thresh=this.laplacian_threshold,eigen_thresh=this.min_eigen_value_threshold,sx=0|Math.max(5,border),sy=0|Math.max(3,border),ex=0|Math.min(w-5,w-border),ey=0|Math.min(h-3,h-border);for(x=w*h;--x>=0;)laplacian[x]=0;for(compute_laplacian(srd_d,laplacian,w,0,5,Dyy,sx,sy,ex,ey),row=sy*w+sx|0,y=sy;y<ey;++y,row+=w)for(x=sx,rowx=row;x<ex;++x,++rowx)((lv=laplacian[rowx])<-lap_thresh&&lv<laplacian[rowx-1]&&lv<laplacian[rowx+1]&&lv<laplacian[rowx-w]&&lv<laplacian[rowx+w]&&lv<laplacian[rowx-w-1]&&lv<laplacian[rowx+w-1]&&lv<laplacian[rowx-w+1]&&lv<laplacian[rowx+w+1]||lv>lap_thresh&&lv>laplacian[rowx-1]&&lv>laplacian[rowx+1]&&lv>laplacian[rowx-w]&&lv>laplacian[rowx+w]&&lv>laplacian[rowx-w-1]&&lv>laplacian[rowx+w-1]&&lv>laplacian[rowx-w+1]&&lv>laplacian[rowx+w+1])&&(min_eigen_value=hessian_min_eigen_value(srd_d,rowx,lv,5,Dyy,Dxy,Dyx))>eigen_thresh&&((pt=points[number_of_points]).x=x,pt.y=y,pt.score=min_eigen_value,++number_of_points,++x,++rowx);return jsfeat.cache.put_buffer(lap_buf),number_of_points}}}();global.yape06=yape06}(jsfeat),function(global){var yape=function(){var precompute_directions=function(step,dirs,R){var x,y,i=0;for(x=R,y=0;y<x;y++,i++)x=Math.sqrt(R*R-y*y)+.5|0,dirs[i]=x+step*y;for(x--;x<y&&x>=0;x--,i++)y=Math.sqrt(R*R-x*x)+.5|0,dirs[i]=x+step*y;for(;-x<y;x--,i++)y=Math.sqrt(R*R-x*x)+.5|0,dirs[i]=x+step*y;for(y--;y>=0;y--,i++)x=-Math.sqrt(R*R-y*y)-.5|0,dirs[i]=x+step*y;for(;y>x;y--,i++)x=-Math.sqrt(R*R-y*y)-.5|0,dirs[i]=x+step*y;for(x++;x<=0;x++,i++)y=-Math.sqrt(R*R-x*x)-.5|0,dirs[i]=x+step*y;for(;x<-y;x++,i++)y=-Math.sqrt(R*R-x*x)-.5|0,dirs[i]=x+step*y;for(y++;y<0;y++,i++)x=Math.sqrt(R*R-y*y)+.5|0,dirs[i]=x+step*y;return dirs[i]=dirs[0],dirs[i+1]=dirs[1],i},third_check=function(Sb,off,step){var n=0;return 0!=Sb[off+1]&&n++,0!=Sb[off-1]&&n++,0!=Sb[off+step]&&n++,0!=Sb[off+step+1]&&n++,0!=Sb[off+step-1]&&n++,0!=Sb[off-step]&&n++,0!=Sb[off-step+1]&&n++,0!=Sb[off-step-1]&&n++,n},is_local_maxima=function(p,off,v,step,neighborhood){var x,y;if(v>0)for(off-=step*neighborhood,y=-neighborhood;y<=neighborhood;++y){for(x=-neighborhood;x<=neighborhood;++x)if(p[off+x]>v)return!1;off+=step}else for(off-=step*neighborhood,y=-neighborhood;y<=neighborhood;++y){for(x=-neighborhood;x<=neighborhood;++x)if(p[off+x]<v)return!1;off+=step}return!0},perform_one_point=function(I,x,Scores,Im,Ip,dirs,opposite,dirs_nb){var score=0,a=0,b=opposite-1|0,A=0,B0=0,B1=0,B2=0,state=0;if((A=I[x+dirs[a]])<=Ip)if(A>=Im)if((B0=I[x+dirs[b]])<=Ip){if(B0>=Im)return void(Scores[x]=0);if(b++,(B1=I[x+dirs[b]])>Ip)if(b++,(B2=I[x+dirs[b]])>Ip)state=3;else{if(!(B2<Im))return void(Scores[x]=0);state=6}else if(b++,(B2=I[x+dirs[b]])>Ip)state=7;else{if(!(B2<Im))return void(Scores[x]=0);state=2}}else if(b++,(B1=I[x+dirs[b]])>Ip)if(b++,(B2=I[x+dirs[b]])>Ip)state=3;else{if(!(B2<Im))return void(Scores[x]=0);state=6}else{if(!(B1<Im))return void(Scores[x]=0);if(b++,(B2=I[x+dirs[b]])>Ip)state=7;else{if(!(B2<Im))return void(Scores[x]=0);state=2}}else{if((B0=I[x+dirs[b]])>Ip)return void(Scores[x]=0);if(b++,(B1=I[x+dirs[b]])>Ip)return void(Scores[x]=0);if(b++,(B2=I[x+dirs[b]])>Ip)return void(Scores[x]=0);state=1}else{if((B0=I[x+dirs[b]])<Im)return void(Scores[x]=0);if(b++,(B1=I[x+dirs[b]])<Im)return void(Scores[x]=0);if(b++,(B2=I[x+dirs[b]])<Im)return void(Scores[x]=0);state=0}for(a=1;a<=opposite;a++)switch(A=I[x+dirs[a]],state){case 0:if(A>Ip){if(B1=B2,b++,(B2=I[x+dirs[b]])<Im)return void(Scores[x]=0);score-=A+B1,state=0;break}if(A<Im){if(B1>Ip)return void(Scores[x]=0);if(B2>Ip)return void(Scores[x]=0);if(B1=B2,b++,(B2=I[x+dirs[b]])>Ip)return void(Scores[x]=0);score-=A+B1,state=8;break}if(B1<=Ip)return void(Scores[x]=0);if(B2<=Ip)return void(Scores[x]=0);if(B1=B2,b++,(B2=I[x+dirs[b]])>Ip){score-=A+B1,state=3;break}if(B2<Im){score-=A+B1,state=6;break}return void(Scores[x]=0);case 1:if(A<Im){if(B1=B2,b++,(B2=I[x+dirs[b]])>Ip)return void(Scores[x]=0);score-=A+B1,state=1;break}if(A>Ip){if(B1<Im)return void(Scores[x]=0);if(B2<Im)return void(Scores[x]=0);if(B1=B2,b++,(B2=I[x+dirs[b]])<Im)return void(Scores[x]=0);score-=A+B1,state=9;break}if(B1>=Im)return void(Scores[x]=0);if(B2>=Im)return void(Scores[x]=0);if(B1=B2,b++,(B2=I[x+dirs[b]])<Im){score-=A+B1,state=2;break}if(B2>Ip){score-=A+B1,state=7;break}return void(Scores[x]=0);case 2:if(A>Ip)return void(Scores[x]=0);if(B1=B2,b++,B2=I[x+dirs[b]],A<Im){if(B2>Ip)return void(Scores[x]=0);score-=A+B1,state=4;break}if(B2>Ip){score-=A+B1,state=7;break}if(B2<Im){score-=A+B1,state=2;break}return void(Scores[x]=0);case 3:if(A<Im)return void(Scores[x]=0);if(B1=B2,b++,B2=I[x+dirs[b]],A>Ip){if(B2<Im)return void(Scores[x]=0);score-=A+B1,state=5;break}if(B2>Ip){score-=A+B1,state=3;break}if(B2<Im){score-=A+B1,state=6;break}return void(Scores[x]=0);case 4:if(A>Ip)return void(Scores[x]=0);if(A<Im){if(B1=B2,b++,(B2=I[x+dirs[b]])>Ip)return void(Scores[x]=0);score-=A+B1,state=1;break}if(B2>=Im)return void(Scores[x]=0);if(B1=B2,b++,(B2=I[x+dirs[b]])<Im){score-=A+B1,state=2;break}if(B2>Ip){score-=A+B1,state=7;break}return void(Scores[x]=0);case 5:if(A<Im)return void(Scores[x]=0);if(A>Ip){if(B1=B2,b++,(B2=I[x+dirs[b]])<Im)return void(Scores[x]=0);score-=A+B1,state=0;break}if(B2<=Ip)return void(Scores[x]=0);if(B1=B2,b++,(B2=I[x+dirs[b]])>Ip){score-=A+B1,state=3;break}if(B2<Im){score-=A+B1,state=6;break}return void(Scores[x]=0);case 7:if(A>Ip)return void(Scores[x]=0);if(A<Im)return void(Scores[x]=0);if(B1=B2,b++,(B2=I[x+dirs[b]])>Ip){score-=A+B1,state=3;break}if(B2<Im){score-=A+B1,state=6;break}return void(Scores[x]=0);case 6:if(A>Ip)return void(Scores[x]=0);if(A<Im)return void(Scores[x]=0);if(B1=B2,b++,(B2=I[x+dirs[b]])<Im){score-=A+B1,state=2;break}if(B2>Ip){score-=A+B1,state=7;break}return void(Scores[x]=0);case 8:if(A>Ip){if(B2<Im)return void(Scores[x]=0);if(B1=B2,b++,(B2=I[x+dirs[b]])<Im)return void(Scores[x]=0);score-=A+B1,state=9;break}if(A<Im){if(B1=B2,b++,(B2=I[x+dirs[b]])>Ip)return void(Scores[x]=0);score-=A+B1,state=1;break}return void(Scores[x]=0);case 9:if(A<Im){if(B2>Ip)return void(Scores[x]=0);if(B1=B2,b++,(B2=I[x+dirs[b]])>Ip)return void(Scores[x]=0);score-=A+B1,state=8;break}if(A>Ip){if(B1=B2,b++,(B2=I[x+dirs[b]])<Im)return void(Scores[x]=0);score-=A+B1,state=0;break}return void(Scores[x]=0)}Scores[x]=score+dirs_nb*I[x]},lev_table_t=function(){return function(w,h,r){this.dirs=new Int32Array(1024),this.dirs_count=0|precompute_directions(w,this.dirs,r),this.scores=new Int32Array(w*h),this.radius=0|r}}();return{level_tables:[],tau:7,init:function(width,height,radius,pyramid_levels){void 0===pyramid_levels&&(pyramid_levels=1);var i;for(radius=Math.min(radius,7),radius=Math.max(radius,3),i=0;i<pyramid_levels;++i)this.level_tables[i]=new lev_table_t(width>>i,height>>i,radius)},detect:function(src,points,border){void 0===border&&(border=4);var pt,t=this.level_tables[0],R=0|t.radius,Rm1=R-1|0,dirs=t.dirs,dirs_count=0|t.dirs_count,opposite=dirs_count>>1,img=src.data,w=0|src.cols,h=0|src.rows,hw=w>>1,scores=t.scores,x=0,y=0,row=0,rowx=0,ip=0,im=0,abs_score=0,score=0,tau=0|this.tau,number_of_points=0,sx=0|Math.max(R+1,border),sy=0|Math.max(R+1,border),ex=0|Math.min(w-R-2,w-border),ey=0|Math.min(h-R-2,h-border);for(row=sy*w+sx|0,y=sy;y<ey;++y,row+=w)for(x=sx,rowx=row;x<ex;++x,++rowx)ip=img[rowx]+tau,(im=img[rowx]-tau)<img[rowx+R]&&img[rowx+R]<ip&&im<img[rowx-R]&&img[rowx-R]<ip?scores[rowx]=0:perform_one_point(img,rowx,scores,im,ip,dirs,opposite,dirs_count);for(row=sy*w+sx|0,y=sy;y<ey;++y,row+=w)for(x=sx,rowx=row;x<ex;++x,++rowx)score=scores[rowx],(abs_score=Math.abs(score))<5?(++x,++rowx):third_check(scores,rowx,w)>=3&&is_local_maxima(scores,rowx,score,hw,R)&&((pt=points[number_of_points]).x=x,pt.y=y,pt.score=abs_score,++number_of_points,x+=Rm1,rowx+=Rm1);return number_of_points}}}();global.yape=yape}(jsfeat),function(global){var orb=function(){var bit_pattern_31_=new Int32Array([8,-3,9,5,4,2,7,-12,-11,9,-8,2,7,-12,12,-13,2,-13,2,12,1,-7,1,6,-2,-10,-2,-4,-13,-13,-11,-8,-13,-3,-12,-9,10,4,11,9,-13,-8,-8,-9,-11,7,-9,12,7,7,12,6,-4,-5,-3,0,-13,2,-12,-3,-9,0,-7,5,12,-6,12,-1,-3,6,-2,12,-6,-13,-4,-8,11,-13,12,-8,4,7,5,1,5,-3,10,-3,3,-7,6,12,-8,-7,-6,-2,-2,11,-1,-10,-13,12,-8,10,-7,3,-5,-3,-4,2,-3,7,-10,-12,-6,11,5,-12,6,-7,5,-6,7,-1,1,0,4,-5,9,11,11,-13,4,7,4,12,2,-1,4,4,-4,-12,-2,7,-8,-5,-7,-10,4,11,9,12,0,-8,1,-13,-13,-2,-8,2,-3,-2,-2,3,-6,9,-4,-9,8,12,10,7,0,9,1,3,7,-5,11,-10,-13,-6,-11,0,10,7,12,1,-6,-3,-6,12,10,-9,12,-4,-13,8,-8,-12,-13,0,-8,-4,3,3,7,8,5,7,10,-7,-1,7,1,-12,3,-10,5,6,2,-4,3,-10,-13,0,-13,5,-13,-7,-12,12,-13,3,-11,8,-7,12,-4,7,6,-10,12,8,-9,-1,-7,-6,-2,-5,0,12,-12,5,-7,5,3,-10,8,-13,-7,-7,-4,5,-3,-2,-1,-7,2,9,5,-11,-11,-13,-5,-13,-1,6,0,-1,5,-3,5,2,-4,-13,-4,12,-9,-6,-9,6,-12,-10,-8,-4,10,2,12,-3,7,12,12,12,-7,-13,-6,5,-4,9,-3,4,7,-1,12,2,-7,6,-5,1,-13,11,-12,5,-3,7,-2,-6,7,-8,12,-7,-13,-7,-11,-12,1,-3,12,12,2,-6,3,0,-4,3,-2,-13,-1,-13,1,9,7,1,8,-6,1,-1,3,12,9,1,12,6,-1,-9,-1,3,-13,-13,-10,5,7,7,10,12,12,-5,12,9,6,3,7,11,5,-13,6,10,2,-12,2,3,3,8,4,-6,2,6,12,-13,9,-12,10,3,-8,4,-7,9,-11,12,-4,-6,1,12,2,-8,6,-9,7,-4,2,3,3,-2,6,3,11,0,3,-3,8,-8,7,8,9,3,-11,-5,-6,-4,-10,11,-5,10,-5,-8,-3,12,-10,5,-9,0,8,-1,12,-6,4,-6,6,-11,-10,12,-8,7,4,-2,6,7,-2,0,-2,12,-5,-8,-5,2,7,-6,10,12,-9,-13,-8,-8,-5,-13,-5,-2,8,-8,9,-13,-9,-11,-9,0,1,-8,1,-2,7,-4,9,1,-2,1,-1,-4,11,-6,12,-11,-12,-9,-6,4,3,7,7,12,5,5,10,8,0,-4,2,8,-9,12,-5,-13,0,7,2,12,-1,2,1,7,5,11,7,-9,3,5,6,-8,-13,-4,-8,9,-5,9,-3,-3,-4,-7,-3,-12,6,5,8,0,-7,6,-6,12,-13,6,-5,-2,1,-10,3,10,4,1,8,-4,-2,-2,2,-13,2,-12,12,12,-2,-13,0,-6,4,1,9,3,-6,-10,-3,-5,-3,-13,-1,1,7,5,12,-11,4,-2,5,-7,-13,9,-9,-5,7,1,8,6,7,-8,7,6,-7,-4,-7,1,-8,11,-7,-8,-13,6,-12,-8,2,4,3,9,10,-5,12,3,-6,-5,-6,7,8,-3,9,-8,2,-12,2,8,-11,-2,-10,3,-12,-13,-7,-9,-11,0,-10,-5,5,-3,11,8,-2,-13,-1,12,-1,-8,0,9,-13,-11,-12,-5,-10,-2,-10,11,-3,9,-2,-13,2,-3,3,2,-9,-13,-4,0,-4,6,-3,-10,-4,12,-2,-7,-6,-11,-4,9,6,-3,6,11,-13,11,-5,5,11,11,12,6,7,-5,12,-2,-1,12,0,7,-4,-8,-3,-2,-7,1,-6,7,-13,-12,-8,-13,-7,-2,-6,-8,-8,5,-6,-9,-5,-1,-4,5,-13,7,-8,10,1,5,5,-13,1,0,10,-13,9,12,10,-1,5,-8,10,-9,-1,11,1,-13,-9,-3,-6,2,-1,-10,1,12,-13,1,-8,-10,8,-11,10,-6,2,-13,3,-6,7,-13,12,-9,-10,-10,-5,-7,-10,-8,-8,-13,4,-6,8,5,3,12,8,-13,-4,2,-3,-3,5,-13,10,-12,4,-13,5,-1,-9,9,-4,3,0,3,3,-9,-12,1,-6,1,3,2,4,-8,-10,-10,-10,9,8,-13,12,12,-8,-12,-6,-5,2,2,3,7,10,6,11,-8,6,8,8,-12,-7,10,-6,5,-3,-9,-3,9,-1,-13,-1,5,-3,-7,-3,4,-8,-2,-8,3,4,2,12,12,2,-5,3,11,6,-9,11,-13,3,-1,7,12,11,-1,12,4,-3,0,-3,6,4,-11,4,12,2,-4,2,1,-10,-6,-8,1,-13,7,-11,1,-13,12,-11,-13,6,0,11,-13,0,-1,1,4,-13,3,-9,-2,-9,8,-6,-3,-13,-6,-8,-2,5,-9,8,10,2,7,3,-9,-1,-6,-1,-1,9,5,11,-2,11,-3,12,-8,3,0,3,5,-1,4,0,10,3,-6,4,5,-13,0,-10,5,5,8,12,11,8,9,9,-6,7,-4,8,-12,-10,4,-10,9,7,3,12,4,9,-7,10,-2,7,0,12,-2,-1,-6,0,-11]),H=new jsfeat.matrix_t(3,3,jsfeat.F32_t|jsfeat.C1_t),patch_img=new jsfeat.matrix_t(32,32,jsfeat.U8_t|jsfeat.C1_t),rectify_patch=function(src,dst,angle,px,py,psize){var cosine=Math.cos(angle),sine=Math.sin(angle);H.data[0]=cosine,H.data[1]=-sine,H.data[2]=(-cosine+sine)*psize*.5+px,H.data[3]=sine,H.data[4]=cosine,H.data[5]=(-sine-cosine)*psize*.5+py,jsfeat.imgproc.warp_affine(src,dst,H,128)};return{describe:function(src,corners,count,descriptors){var i=0,b=0,px=0,py=0,angle=0,t0=0,t1=0,val=0,patch_d=(src.data,src.cols,src.rows,patch_img.data),patt=0;descriptors.type&jsfeat.U8_t?descriptors.resize(32,count,1):(descriptors.type=jsfeat.U8_t,descriptors.cols=32,descriptors.rows=count,descriptors.channel=1,descriptors.allocate());var descr_d=descriptors.data,descr_off=0;for(i=0;i<count;++i){for(px=corners[i].x,py=corners[i].y,angle=corners[i].angle,rectify_patch(src,patch_img,angle,px,py,32),patt=0,b=0;b<32;++b)val=(t0=patch_d[528+32*bit_pattern_31_[patt+1]+bit_pattern_31_[patt]])<(t1=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]])|0,val|=((t0=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]])<(t1=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]]))<<1,val|=((t0=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]])<(t1=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]]))<<2,val|=((t0=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]])<(t1=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]]))<<3,val|=((t0=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]])<(t1=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]]))<<4,val|=((t0=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]])<(t1=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]]))<<5,val|=((t0=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]])<(t1=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]]))<<6,t0=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]],t1=patch_d[528+32*bit_pattern_31_[(patt+=2)+1]+bit_pattern_31_[patt]],patt+=2,val|=(t0<t1)<<7,descr_d[descr_off+b]=val;descr_off+=32}}}}();global.orb=orb}(jsfeat),function(global){var optical_flow_lk=function(){var scharr_deriv=jsfeat.imgproc.scharr_derivatives;return{track:function(prev_pyr,curr_pyr,prev_xy,curr_xy,count,win_size,max_iter,status,eps,min_eigen_threshold){void 0===max_iter&&(max_iter=30),void 0===status&&(status=new Uint8Array(count)),void 0===eps&&(eps=.01),void 0===min_eigen_threshold&&(min_eigen_threshold=1e-4);var half_win=.5*(win_size-1),win_area=win_size*win_size|0,win_area2=win_area<<1,prev_imgs=prev_pyr.data,next_imgs=curr_pyr.data,img_prev=prev_imgs[0].data,img_next=next_imgs[0].data,w0=prev_imgs[0].cols,h0=prev_imgs[0].rows,lw=0,lh=0,iwin_node=jsfeat.cache.get_buffer(win_area<<2),deriv_iwin_node=jsfeat.cache.get_buffer(win_area2<<2),deriv_lev_node=jsfeat.cache.get_buffer(h0*(w0<<1)<<2),deriv_m=new jsfeat.matrix_t(w0,h0,jsfeat.S32C2_t,deriv_lev_node.data),iwin_buf=iwin_node.i32,deriv_iwin=deriv_iwin_node.i32,deriv_lev=deriv_lev_node.i32,dstep=0,src=0,dsrc=0,iptr=0,diptr=0,jptr=0,lev_sc=0,prev_x=0,prev_y=0,next_x=0,next_y=0,prev_delta_x=0,prev_delta_y=0,delta_x=0,delta_y=0,iprev_x=0,iprev_y=0,inext_x=0,inext_y=0,i=0,j=0,x=0,y=0,level=0,ptid=0,iter=0,brd_r=0,brd_b=0,a=0,b=0,b1=0,b2=0,iw00=0,iw01=0,iw10=0,iw11=0,ival=0,ixval=0,iyval=0,A11=0,A12=0,A22=0,D=0;for(eps*=eps;i<count;++i)status[i]=1;var max_level=prev_pyr.levels-1|0;for(level=max_level;level>=0;--level)for(lev_sc=1/(1<<level),lh=h0>>level,dstep=(lw=w0>>level)<<1,img_prev=prev_imgs[level].data,img_next=next_imgs[level].data,brd_r=lw-win_size|0,brd_b=lh-win_size|0,scharr_deriv(prev_imgs[level],deriv_m),ptid=0;ptid<count;++ptid)if(i=ptid<<1,j=i+1,prev_x=prev_xy[i]*lev_sc,prev_y=prev_xy[j]*lev_sc,level==max_level?(next_x=prev_x,next_y=prev_y):(next_x=2*curr_xy[i],next_y=2*curr_xy[j]),curr_xy[i]=next_x,curr_xy[j]=next_y,prev_x-=half_win,prev_y-=half_win,iprev_x=0|prev_x,iprev_y=0|prev_y,0==(x=iprev_x<=0|iprev_x>=brd_r|iprev_y<=0|iprev_y>=brd_b)){for(iw11=16384-(iw00=(1-(a=prev_x-iprev_x))*(1-(b=prev_y-iprev_y))*16384+.5|0)-(iw01=a*(1-b)*16384+.5|0)-(iw10=(1-a)*b*16384+.5|0),A11=0,A12=0,A22=0,y=0;y<win_size;++y)for(dsrc=(src=(y+iprev_y)*lw+iprev_x|0)<<1,diptr=(iptr=y*win_size|0)<<1,x=0;x<win_size;++x,++src,++iptr,dsrc+=2)ival=(ival=img_prev[src]*iw00+img_prev[src+1]*iw01+img_prev[src+lw]*iw10+img_prev[src+lw+1]*iw11)+256>>9,ixval=(ixval=deriv_lev[dsrc]*iw00+deriv_lev[dsrc+2]*iw01+deriv_lev[dsrc+dstep]*iw10+deriv_lev[dsrc+dstep+2]*iw11)+8192>>14,iyval=(iyval=deriv_lev[dsrc+1]*iw00+deriv_lev[dsrc+3]*iw01+deriv_lev[dsrc+dstep+1]*iw10+deriv_lev[dsrc+dstep+3]*iw11)+8192>>14,iwin_buf[iptr]=ival,deriv_iwin[diptr++]=ixval,deriv_iwin[diptr++]=iyval,A11+=ixval*ixval,A12+=ixval*iyval,A22+=iyval*iyval;if(A11*=1/(1<<20),A12*=1/(1<<20),A22*=1/(1<<20),D=A11*A22-A12*A12,(A22+A11-Math.sqrt((A11-A22)*(A11-A22)+4*A12*A12))/win_area2<min_eigen_threshold||D<1.1920929e-7)0==level&&(status[ptid]=0);else for(D=1/D,next_x-=half_win,next_y-=half_win,prev_delta_x=0,prev_delta_y=0,iter=0;iter<max_iter;++iter){if(inext_x=0|next_x,inext_y=0|next_y,0!=(x=inext_x<=0|inext_x>=brd_r|inext_y<=0|inext_y>=brd_b)){0==level&&(status[ptid]=0);break}for(iw11=16384-(iw00=(1-(a=next_x-inext_x))*(1-(b=next_y-inext_y))*16384+.5|0)-(iw01=a*(1-b)*16384+.5|0)-(iw10=(1-a)*b*16384+.5|0),b1=0,b2=0,y=0;y<win_size;++y)for(jptr=(y+inext_y)*lw+inext_x|0,diptr=(iptr=y*win_size|0)<<1,x=0;x<win_size;++x,++jptr,++iptr)ival=(ival=img_next[jptr]*iw00+img_next[jptr+1]*iw01+img_next[jptr+lw]*iw10+img_next[jptr+lw+1]*iw11)+256>>9,b1+=(ival-=iwin_buf[iptr])*deriv_iwin[diptr++],b2+=ival*deriv_iwin[diptr++];if(b1*=1/(1<<20),b2*=1/(1<<20),delta_x=(A12*b2-A22*b1)*D,delta_y=(A12*b1-A11*b2)*D,next_x+=delta_x,next_y+=delta_y,curr_xy[i]=next_x+half_win,curr_xy[j]=next_y+half_win,delta_x*delta_x+delta_y*delta_y<=eps)break;if(iter>0&&Math.abs(delta_x+prev_delta_x)<.01&&Math.abs(delta_y+prev_delta_y)<.01){curr_xy[i]-=.5*delta_x,curr_xy[j]-=.5*delta_y;break}prev_delta_x=delta_x,prev_delta_y=delta_y}}else 0==level&&(status[ptid]=0);jsfeat.cache.put_buffer(iwin_node),jsfeat.cache.put_buffer(deriv_iwin_node),jsfeat.cache.put_buffer(deriv_lev_node)}}}();global.optical_flow_lk=optical_flow_lk}(jsfeat),function(global){var haar=function(){var _group_func=function(r1,r2){var distance=.25*r1.width+.5|0;return r2.x<=r1.x+distance&&r2.x>=r1.x-distance&&r2.y<=r1.y+distance&&r2.y>=r1.y-distance&&r2.width<=1.5*r1.width+.5|0&&1.5*r2.width+.5|0>=r1.width};return{edges_density:.07,detect_single_scale:function(int_sum,int_sqsum,int_tilted,int_canny_sum,width,height,scale,classifier){var i,j,k,x,y,mean,variance,std,stages,stage,trees,tree,sn,tn,fn,stage_thresh,stage_sum,tree_sum,feature,features,fi_a,fi_b,fi_c,fw,fh,win_w=classifier.size[0]*scale|0,win_h=classifier.size[1]*scale|0,step_x=.5*scale+1.5|0,step_y=step_x,ex=width-win_w|0,ey=height-win_h|0,w1=width+1|0,inv_area=1/(win_w*win_h),found=!0,ii_a=0,ii_b=win_w,ii_c=win_h*w1,ii_d=ii_c+win_w,edges_thresh=win_w*win_h*255*this.edges_density|0,rects=[];for(y=0;y<ey;y+=step_y)for(ii_a=y*w1,x=0;x<ex;x+=step_x,ii_a+=step_x)if(mean=int_sum[ii_a]-int_sum[ii_a+ii_b]-int_sum[ii_a+ii_c]+int_sum[ii_a+ii_d],int_canny_sum&&(int_canny_sum[ii_a]-int_canny_sum[ii_a+ii_b]-int_canny_sum[ii_a+ii_c]+int_canny_sum[ii_a+ii_d]<edges_thresh||mean<20))x+=step_x,ii_a+=step_x;else{for(mean*=inv_area,std=(variance=(int_sqsum[ii_a]-int_sqsum[ii_a+ii_b]-int_sqsum[ii_a+ii_c]+int_sqsum[ii_a+ii_d])*inv_area-mean*mean)>0?Math.sqrt(variance):1,sn=(stages=classifier.complexClassifiers).length,found=!0,i=0;i<sn;++i){for(stage_thresh=(stage=stages[i]).threshold,tn=(trees=stage.simpleClassifiers).length,stage_sum=0,j=0;j<tn;++j){if(tree=trees[j],tree_sum=0,features=tree.features,fn=features.length,1===tree.tilted)for(k=0;k<fn;++k)fi_a=~~(x+(feature=features[k])[0]*scale)+~~(y+feature[1]*scale)*w1,fi_b=(fw=~~(feature[2]*scale))*w1,fi_c=(fh=~~(feature[3]*scale))*w1,tree_sum+=(int_tilted[fi_a]-int_tilted[fi_a+fw+fi_b]-int_tilted[fi_a-fh+fi_c]+int_tilted[fi_a+fw-fh+fi_b+fi_c])*feature[4];else for(k=0;k<fn;++k)fi_a=~~(x+(feature=features[k])[0]*scale)+~~(y+feature[1]*scale)*w1,fw=~~(feature[2]*scale),fi_c=(fh=~~(feature[3]*scale))*w1,tree_sum+=(int_sum[fi_a]-int_sum[fi_a+fw]-int_sum[fi_a+fi_c]+int_sum[fi_a+fi_c+fw])*feature[4];stage_sum+=tree_sum*inv_area<tree.threshold*std?tree.left_val:tree.right_val}if(stage_sum<stage_thresh){found=!1;break}}found&&(rects.push({x:x,y:y,width:win_w,height:win_h,neighbor:1,confidence:stage_sum}),x+=step_x,ii_a+=step_x)}return rects},detect_multi_scale:function(int_sum,int_sqsum,int_tilted,int_canny_sum,width,height,classifier,scale_factor,scale_min){void 0===scale_factor&&(scale_factor=1.2),void 0===scale_min&&(scale_min=1);for(var win_w=classifier.size[0],win_h=classifier.size[1],rects=[];scale_min*win_w<width&&scale_min*win_h<height;)rects=rects.concat(this.detect_single_scale(int_sum,int_sqsum,int_tilted,int_canny_sum,width,height,scale_min,classifier)),scale_min*=scale_factor;return rects},group_rectangles:function(rects,min_neighbors){void 0===min_neighbors&&(min_neighbors=1);var i,j,n=rects.length,node=[];for(i=0;i<n;++i)node[i]={parent:-1,element:rects[i],rank:0};for(i=0;i<n;++i)if(node[i].element){for(var root=i;-1!=node[root].parent;)root=node[root].parent;for(j=0;j<n;++j)if(i!=j&&node[j].element&&_group_func(node[i].element,node[j].element)){for(var root2=j;-1!=node[root2].parent;)root2=node[root2].parent;if(root2!=root){node[root].rank>node[root2].rank?node[root2].parent=root:(node[root].parent=root2,node[root].rank==node[root2].rank&&node[root2].rank++,root=root2);for(var temp,node2=j;-1!=node[node2].parent;)temp=node2,node2=node[node2].parent,node[temp].parent=root;for(node2=i;-1!=node[node2].parent;)temp=node2,node2=node[node2].parent,node[temp].parent=root}}}var idx_seq=[],class_idx=0;for(i=0;i<n;i++){j=-1;var node1=i;if(node[node1].element){for(;-1!=node[node1].parent;)node1=node[node1].parent;node[node1].rank>=0&&(node[node1].rank=~class_idx++),j=~node[node1].rank}idx_seq[i]=j}var comps=[];for(i=0;i<class_idx+1;++i)comps[i]={neighbors:0,x:0,y:0,width:0,height:0,confidence:0};for(i=0;i<n;++i){var r1=rects[i],idx=idx_seq[i];0==comps[idx].neighbors&&(comps[idx].confidence=r1.confidence),++comps[idx].neighbors,comps[idx].x+=r1.x,comps[idx].y+=r1.y,comps[idx].width+=r1.width,comps[idx].height+=r1.height,comps[idx].confidence=Math.max(comps[idx].confidence,r1.confidence)}var seq2=[];for(i=0;i<class_idx;++i)(n=comps[i].neighbors)>=min_neighbors&&seq2.push({x:(2*comps[i].x+n)/(2*n),y:(2*comps[i].y+n)/(2*n),width:(2*comps[i].width+n)/(2*n),height:(2*comps[i].height+n)/(2*n),neighbors:comps[i].neighbors,confidence:comps[i].confidence});var result_seq=[];for(n=seq2.length,i=0;i<n;++i){var r1=seq2[i],flag=!0;for(j=0;j<n;++j){var r2=seq2[j],distance=.25*r2.width+.5|0;if(i!=j&&r1.x>=r2.x-distance&&r1.y>=r2.y-distance&&r1.x+r1.width<=r2.x+r2.width+distance&&r1.y+r1.height<=r2.y+r2.height+distance&&(r2.neighbors>Math.max(3,r1.neighbors)||r1.neighbors<3)){flag=!1;break}}flag&&result_seq.push(r1)}return result_seq}}}();global.haar=haar}(jsfeat),function(global){var bbf=function(){var _group_func=function(r1,r2){var distance=.25*r1.width+.5|0;return r2.x<=r1.x+distance&&r2.x>=r1.x-distance&&r2.y<=r1.y+distance&&r2.y>=r1.y-distance&&r2.width<=1.5*r1.width+.5|0&&1.5*r2.width+.5|0>=r1.width},img_pyr=new jsfeat.pyramid_t(1);return{interval:4,scale:1.1486,next:5,scale_to:1,prepare_cascade:function(cascade){for(var sn=cascade.stage_classifier.length,j=0;j<sn;j++)for(var orig_feature=cascade.stage_classifier[j].feature,f_cnt=cascade.stage_classifier[j].count,feature=cascade.stage_classifier[j]._feature=new Array(f_cnt),k=0;k<f_cnt;k++)feature[k]={size:orig_feature[k].size,px:new Array(orig_feature[k].size),pz:new Array(orig_feature[k].size),nx:new Array(orig_feature[k].size),nz:new Array(orig_feature[k].size)}},build_pyramid:function(src,min_width,min_height,interval){void 0===interval&&(interval=4);var sw=src.cols,sh=src.rows,i=0,nw=0,nh=0,new_pyr=!1,src0=src,src1=src,data_type=jsfeat.U8_t|jsfeat.C1_t;this.interval=interval,this.scale=Math.pow(2,1/(this.interval+1)),this.next=this.interval+1|0,this.scale_to=Math.log(Math.min(sw/min_width,sh/min_height))/Math.log(this.scale)|0;var pyr_l=4*(this.scale_to+2*this.next)|0;for(img_pyr.levels!=pyr_l&&(img_pyr.levels=pyr_l,img_pyr.data=new Array(pyr_l),new_pyr=!0,img_pyr.data[0]=src),i=1;i<=this.interval;++i)nw=sw/Math.pow(this.scale,i)|0,nh=sh/Math.pow(this.scale,i)|0,src0=img_pyr.data[i<<2],(new_pyr||nw!=src0.cols||nh!=src0.rows)&&(img_pyr.data[i<<2]=new jsfeat.matrix_t(nw,nh,data_type),src0=img_pyr.data[i<<2]),jsfeat.imgproc.resample(src,src0,nw,nh);for(i=this.next;i<this.scale_to+2*this.next;++i)src1=img_pyr.data[(i<<2)-(this.next<<2)],src0=img_pyr.data[i<<2],nw=src1.cols>>1,nh=src1.rows>>1,(new_pyr||nw!=src0.cols||nh!=src0.rows)&&(img_pyr.data[i<<2]=new jsfeat.matrix_t(nw,nh,data_type),src0=img_pyr.data[i<<2]),jsfeat.imgproc.pyrdown(src1,src0);for(i=2*this.next;i<this.scale_to+2*this.next;++i)nw=(src1=img_pyr.data[(i<<2)-(this.next<<2)]).cols>>1,nh=src1.rows>>1,src0=img_pyr.data[1+(i<<2)],(new_pyr||nw!=src0.cols||nh!=src0.rows)&&(img_pyr.data[1+(i<<2)]=new jsfeat.matrix_t(nw,nh,data_type),src0=img_pyr.data[1+(i<<2)]),jsfeat.imgproc.pyrdown(src1,src0,1,0),src0=img_pyr.data[2+(i<<2)],(new_pyr||nw!=src0.cols||nh!=src0.rows)&&(img_pyr.data[2+(i<<2)]=new jsfeat.matrix_t(nw,nh,data_type),src0=img_pyr.data[2+(i<<2)]),jsfeat.imgproc.pyrdown(src1,src0,0,1),src0=img_pyr.data[3+(i<<2)],(new_pyr||nw!=src0.cols||nh!=src0.rows)&&(img_pyr.data[3+(i<<2)]=new jsfeat.matrix_t(nw,nh,data_type),src0=img_pyr.data[3+(i<<2)]),jsfeat.imgproc.pyrdown(src1,src0,1,1);return img_pyr},detect:function(pyramid,cascade){this.interval;var alpha,feature,orig_feature,feature_k,feature_o,scale=this.scale,next=this.next,scale_upto=this.scale_to,i=0,j=0,k=0,n=0,x=0,y=0,q=0,sn=0,f_cnt=0,q_cnt=0,p=0,pmin=0,nmax=0,f=0,i4=0,qw=0,qh=0,sum=0,flag=!0,shortcut=!0,scale_x=1,scale_y=1,dx=[0,1,0,1],dy=[0,0,1,1],seq=[],pyr=pyramid.data,u8=[],u8o=[0,0,0],step=[0,0,0],paddings=[0,0,0];for(i=0;i<scale_upto;i++){for(qw=pyr[(i4=i<<2)+(next<<3)].cols-(cascade.width>>2),qh=pyr[i4+(next<<3)].rows-(cascade.height>>2),step[0]=1*pyr[i4].cols,step[1]=1*pyr[i4+(next<<2)].cols,step[2]=1*pyr[i4+(next<<3)].cols,paddings[0]=4*pyr[i4].cols-4*qw,paddings[1]=2*pyr[i4+(next<<2)].cols-2*qw,paddings[2]=1*pyr[i4+(next<<3)].cols-1*qw,sn=cascade.stage_classifier.length,j=0;j<sn;j++)for(orig_feature=cascade.stage_classifier[j].feature,feature=cascade.stage_classifier[j]._feature,f_cnt=cascade.stage_classifier[j].count,k=0;k<f_cnt;k++)for(feature_k=feature[k],q_cnt=0|(feature_o=orig_feature[k]).size,q=0;q<q_cnt;q++)feature_k.px[q]=1*feature_o.px[q]+feature_o.py[q]*step[feature_o.pz[q]],feature_k.pz[q]=feature_o.pz[q],feature_k.nx[q]=1*feature_o.nx[q]+feature_o.ny[q]*step[feature_o.nz[q]],feature_k.nz[q]=feature_o.nz[q];for(u8[0]=pyr[i4].data,u8[1]=pyr[i4+(next<<2)].data,q=0;q<4;q++)for(u8[2]=pyr[i4+(next<<3)+q].data,u8o[0]=2*dx[q]+dy[q]*(2*pyr[i4].cols),u8o[1]=1*dx[q]+dy[q]*(1*pyr[i4+(next<<2)].cols),u8o[2]=0,y=0;y<qh;y++){for(x=0;x<qw;x++){for(sum=0,flag=!0,sn=cascade.stage_classifier.length,j=0;j<sn;j++){for(sum=0,alpha=cascade.stage_classifier[j].alpha,feature=cascade.stage_classifier[j]._feature,f_cnt=cascade.stage_classifier[j].count,k=0;k<f_cnt;k++)if(feature_k=feature[k],pmin=u8[feature_k.pz[0]][u8o[feature_k.pz[0]]+feature_k.px[0]],nmax=u8[feature_k.nz[0]][u8o[feature_k.nz[0]]+feature_k.nx[0]],pmin<=nmax)sum+=alpha[k<<1];else{for(shortcut=!0,q_cnt=feature_k.size,f=1;f<q_cnt;f++){if(feature_k.pz[f]>=0&&(p=u8[feature_k.pz[f]][u8o[feature_k.pz[f]]+feature_k.px[f]])<pmin){if(p<=nmax){shortcut=!1;break}pmin=p}if(feature_k.nz[f]>=0&&(n=u8[feature_k.nz[f]][u8o[feature_k.nz[f]]+feature_k.nx[f]])>nmax){if(pmin<=n){shortcut=!1;break}nmax=n}}sum+=shortcut?alpha[1+(k<<1)]:alpha[k<<1]}if(sum<cascade.stage_classifier[j].threshold){flag=!1;break}}flag&&(seq.push({x:(4*x+2*dx[q])*scale_x,y:(4*y+2*dy[q])*scale_y,width:cascade.width*scale_x,height:cascade.height*scale_y,neighbor:1,confidence:sum}),++x,u8o[0]+=4,u8o[1]+=2,u8o[2]+=1),u8o[0]+=4,u8o[1]+=2,u8o[2]+=1}u8o[0]+=paddings[0],u8o[1]+=paddings[1],u8o[2]+=paddings[2]}scale_x*=scale,scale_y*=scale}return seq},group_rectangles:function(rects,min_neighbors){void 0===min_neighbors&&(min_neighbors=1);var i,j,n=rects.length,node=[];for(i=0;i<n;++i)node[i]={parent:-1,element:rects[i],rank:0};for(i=0;i<n;++i)if(node[i].element){for(var root=i;-1!=node[root].parent;)root=node[root].parent;for(j=0;j<n;++j)if(i!=j&&node[j].element&&_group_func(node[i].element,node[j].element)){for(var root2=j;-1!=node[root2].parent;)root2=node[root2].parent;if(root2!=root){node[root].rank>node[root2].rank?node[root2].parent=root:(node[root].parent=root2,node[root].rank==node[root2].rank&&node[root2].rank++,root=root2);for(var temp,node2=j;-1!=node[node2].parent;)temp=node2,node2=node[node2].parent,node[temp].parent=root;for(node2=i;-1!=node[node2].parent;)temp=node2,node2=node[node2].parent,node[temp].parent=root}}}var idx_seq=[],class_idx=0;for(i=0;i<n;i++){j=-1;var node1=i;if(node[node1].element){for(;-1!=node[node1].parent;)node1=node[node1].parent;node[node1].rank>=0&&(node[node1].rank=~class_idx++),j=~node[node1].rank}idx_seq[i]=j}var comps=[];for(i=0;i<class_idx+1;++i)comps[i]={neighbors:0,x:0,y:0,width:0,height:0,confidence:0};for(i=0;i<n;++i){var r1=rects[i],idx=idx_seq[i];0==comps[idx].neighbors&&(comps[idx].confidence=r1.confidence),++comps[idx].neighbors,comps[idx].x+=r1.x,comps[idx].y+=r1.y,comps[idx].width+=r1.width,comps[idx].height+=r1.height,comps[idx].confidence=Math.max(comps[idx].confidence,r1.confidence)}var seq2=[];for(i=0;i<class_idx;++i)(n=comps[i].neighbors)>=min_neighbors&&seq2.push({x:(2*comps[i].x+n)/(2*n),y:(2*comps[i].y+n)/(2*n),width:(2*comps[i].width+n)/(2*n),height:(2*comps[i].height+n)/(2*n),neighbors:comps[i].neighbors,confidence:comps[i].confidence});var result_seq=[];for(n=seq2.length,i=0;i<n;++i){var r1=seq2[i],flag=!0;for(j=0;j<n;++j){var 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C=2*jsfeat.EPSILON,q=jsfeat.FLT_MIN,X=0,V=0,U=0,A=0,u=Math.max(T,30),K=0,J=0,R=0,Q=0,F=0,Y=0,O=0,N=0,H=0,G=0,x=0,I=0,w=0,L=0,aa=0,P=0,Z=0,z=4660,B=0,y=0,o=0,r=jsfeat.cache.get_buffer(S<<3),g=r.f64;X<S;X++){for(U=0,x=0;U<T;U++)x+=(N=D[X*l+U])*N;if(g[X]=x,M){for(U=0;U<S;U++)M[X*v+U]=0;M[X*v+X]=1}}for(;A<u;A++){for(F=0,X=0;X<S-1;X++)for(V=X+1;V<S;V++){for(K=X*l|0,J=V*l|0,aa=g[X],P=0,Z=g[V],U=2,P+=D[K]*D[J],P+=D[K+1]*D[J+1];U<T;U++)P+=D[K+U]*D[J+U];if(!(Math.abs(P)<=C*Math.sqrt(aa*Z))){for(w=d(P*=2,I=aa-Z),I<0?(L=.5*(w-I),Y=P/(w*(O=Math.sqrt(L/w))*2)):O=P/(w*(Y=Math.sqrt((w+I)/(2*w)))*2),aa=0,Z=0,U=2,H=Y*D[K]+O*D[J],G=-O*D[K]+Y*D[J],D[K]=H,D[J]=G,aa+=H*H,Z+=G*G,H=Y*D[K+1]+O*D[J+1],G=-O*D[K+1]+Y*D[J+1],D[K+1]=H,D[J+1]=G,aa+=H*H,Z+=G*G;U<T;U++)H=Y*D[K+U]+O*D[J+U],G=-O*D[K+U]+Y*D[J+U],D[K+U]=H,D[J+U]=G,aa+=H*H,Z+=G*G;if(g[X]=aa,g[V]=Z,F=1,M)for(Q=V*v|0,U=2,H=Y*M[R=X*v|0]+O*M[Q],G=-O*M[R]+Y*M[Q],M[R]=H,M[Q]=G,H=Y*M[R+1]+O*M[Q+1],G=-O*M[R+1]+Y*M[Q+1],M[R+1]=H,M[Q+1]=G;U<S;U++)H=Y*M[R+U]+O*M[Q+U],G=-O*M[R+U]+Y*M[Q+U],M[R+U]=H,M[Q+U]=G}}if(0==F)break}for(X=0;X<S;X++){for(U=0,x=0;U<T;U++)x+=(N=D[X*l+U])*N;g[X]=Math.sqrt(x)}for(X=0;X<S-1;X++){for(V=X,U=X+1;U<S;U++)g[V]<g[U]&&(V=U);if(X!=V&&(f(g,X,V,x),M)){for(U=0;U<T;U++)f(D,X*l+U,V*l+U,N);for(U=0;U<S;U++)f(M,X*v+U,V*v+U,N)}}for(X=0;X<S;X++)h[X]=g[X];if(M){for(X=0;X<E;X++){for(x=X<S?g[X]:0;x<=q;){for(y=1/T,U=0;U<T;U++)B=0!=(256&(z=214013*z+2531011)>>16)?y:-y,D[X*l+U]=B;for(A=0;A<2;A++)for(V=0;V<X;V++){for(x=0,U=0;U<T;U++)x+=D[X*l+U]*D[V*l+U];for(o=0,U=0;U<T;U++)N=D[X*l+U]-x*D[V*l+U],D[X*l+U]=N,o+=Math.abs(N);for(o=o?1/o:0,U=0;U<T;U++)D[X*l+U]*=o}for(x=0,U=0;U<T;U++)x+=(N=D[X*l+U])*N;x=Math.sqrt(x)}for(O=1/x,U=0;U<T;U++)D[X*l+U]*=O}jsfeat.cache.put_buffer(r)}else jsfeat.cache.put_buffer(r)};return{lu_solve:function(l,g){var x,m,u,y,q=0,o=0,n=0,h=1,v=l.cols,w=l.data,r=g.data;for(q=0;q<v;q++){for(n=q,o=q+1;o<v;o++)Math.abs(w[o*v+q])>Math.abs(w[n*v+q])&&(n=o);if(Math.abs(w[n*v+q])<jsfeat.EPSILON)return 0;if(n!=q){for(o=q;o<v;o++)f(w,q*v+o,n*v+o,x);f(r,q,n,x),h=-h}for(u=-1/w[q*v+q],o=q+1;o<v;o++){for(m=w[o*v+q]*u,n=q+1;n<v;n++)w[o*v+n]+=m*w[q*v+n];r[o]+=m*r[q]}w[q*v+q]=-u}for(q=v-1;q>=0;q--){for(y=r[q],n=q+1;n<v;n++)y-=w[q*v+n]*r[n];r[q]=y*w[q*v+q]}return 1},cholesky_solve:function(h,g){var k,m,l=0,v=0,r=0,s=0,n=0,p=0,o=0,u=h.cols,t=h.data,q=g.data;for(l=0;l<u;l++)for(m=1,n=s=l*u,v=l;v<u;v++){for(k=t[n+l],r=0;r<l;r++)k-=t[r*u+l]*t[n+r];if(v==l){if(t[n+l]=k,0==k)return 0;m=1/k}else t[s+v]=k,t[n+l]=k*m;n+=u}for(s=0,p=0;p<u;p++){for(k=q[p],o=0;o<p;o++)k-=t[s+o]*q[o];q[p]=k,s+=u}for(s=0,p=0;p<u;p++)q[p]/=t[s+p],s+=u;for(p=u-1;p>=0;p--){for(k=q[p],s=(o=p+1)*u;o<u;o++)k-=t[s+p]*q[o],s+=u;q[p]=k}return 1},svd_decompose:function(t,k,p,l,o){void 0===o&&(o=0);var r=0,z=0,g=t.rows,D=t.cols,w=g,v=D,s=t.type|jsfeat.C1_t;w<v&&(r=1,z=w,w=v,v=z);var q=jsfeat.cache.get_buffer(w*w<<3),h=jsfeat.cache.get_buffer(v<<3),C=jsfeat.cache.get_buffer(v*v<<3),u=new jsfeat.matrix_t(w,w,s,q.data),B=new jsfeat.matrix_t(1,v,s,h.data),y=new jsfeat.matrix_t(v,v,s,C.data);if(0==r)jsfeat.matmath.transpose(u,t);else{for(z=0;z<D*g;z++)u.data[z]=t.data[z];for(;z<v*w;z++)u.data[z]=0}if(e(u.data,w,B.data,y.data,v,w,v,w),k){for(z=0;z<v;z++)k.data[z]=B.data[z];for(;z<D;z++)k.data[z]=0}if(0==r){if(p&&o&jsfeat.SVD_U_T)for(z=w*w;--z>=0;)p.data[z]=u.data[z];else p&&jsfeat.matmath.transpose(p,u);if(l&&o&jsfeat.SVD_V_T)for(z=v*v;--z>=0;)l.data[z]=y.data[z];else l&&jsfeat.matmath.transpose(l,y)}else{if(p&&o&jsfeat.SVD_U_T)for(z=v*v;--z>=0;)p.data[z]=y.data[z];else p&&jsfeat.matmath.transpose(p,y);if(l&&o&jsfeat.SVD_V_T)for(z=w*w;--z>=0;)l.data[z]=u.data[z];else l&&jsfeat.matmath.transpose(l,u)}jsfeat.cache.put_buffer(q),jsfeat.cache.put_buffer(h),jsfeat.cache.put_buffer(C)},svd_solve:function(v,l,s){var E=0,C=0,z=0,w=0,u=0,o=v.rows,p=v.cols,h=0,I=0,x=0,r=v.type|jsfeat.C1_t,F=jsfeat.cache.get_buffer(o*o<<3),m=jsfeat.cache.get_buffer(p<<3),H=jsfeat.cache.get_buffer(p*p<<3),t=new jsfeat.matrix_t(o,o,r,F.data),G=new jsfeat.matrix_t(1,p,r,m.data),D=new jsfeat.matrix_t(p,p,r,H.data),n=s.data,y=t.data,q=G.data,g=D.data;for(this.svd_decompose(v,G,t,D,0),x=jsfeat.EPSILON*q[0]*p;E<p;E++,u+=p){for(I=0,C=0;C<p;C++)if(q[C]>x){for(z=0,h=0,w=0;z<o;z++,w+=p)h+=y[w+C]*n[z];I+=h*g[u+C]/q[C]}l.data[E]=I}jsfeat.cache.put_buffer(F),jsfeat.cache.put_buffer(m),jsfeat.cache.put_buffer(H)},svd_invert:function(E,t){var C=0,z=0,y=0,v=0,s=0,h=0,n=t.rows,o=t.cols,l=0,w=0,q=t.type|jsfeat.C1_t,D=jsfeat.cache.get_buffer(n*n<<3),m=jsfeat.cache.get_buffer(o<<3),G=jsfeat.cache.get_buffer(o*o<<3),u=new jsfeat.matrix_t(n,n,q,D.data),F=new jsfeat.matrix_t(1,o,q,m.data),B=new jsfeat.matrix_t(o,o,q,G.data),r=E.data,x=u.data,p=F.data,g=B.data;for(this.svd_decompose(t,F,u,B,0),w=jsfeat.EPSILON*p[0]*o;C<o;C++,s+=o)for(z=0,v=0;z<n;z++,h++){for(y=0,l=0;y<o;y++,v++)p[y]>w&&(l+=g[s+y]*x[v]/p[y]);r[h]=l}jsfeat.cache.put_buffer(D),jsfeat.cache.put_buffer(m),jsfeat.cache.put_buffer(G)},eigenVV:function(j,p,r){for(var k=j.cols,m=k*k,g=j.type|jsfeat.C1_t,o=jsfeat.cache.get_buffer(k*k<<3),h=jsfeat.cache.get_buffer(k<<3),l=new jsfeat.matrix_t(k,k,g,o.data),q=new jsfeat.matrix_t(1,k,g,h.data);--m>=0;)l.data[m]=j.data[m];if(c(l.data,k,q.data,p?p.data:null,k,k),r)for(;--k>=0;)r.data[k]=q.data[k];jsfeat.cache.put_buffer(o),jsfeat.cache.put_buffer(h)}}}();b.linalg=a}(jsfeat),function(a){var c=function(){var m=function(p){return p*p},e=function(z,A,x,w,u){for(var t=0,y=0,s=0,q=0,C=0,v=0,r=0,p=0,B=0,E=0,D=0;t<u;++t)y+=z[t].x,s+=z[t].y,v+=A[t].x,r+=A[t].y;for(y/=u,s/=u,v/=u,r/=u,t=0;t<u;++t)E=z[t].x-y,D=z[t].y-s,q+=Math.sqrt(E*E+D*D),E=A[t].x-v,D=A[t].y-r,p+=Math.sqrt(E*E+D*D);q/=u,p/=u,C=Math.SQRT2/q,B=Math.SQRT2/p,x[0]=x[4]=C,x[2]=-y*C,x[5]=-s*C,x[1]=x[3]=x[6]=x[7]=0,x[8]=1,w[0]=w[4]=B,w[2]=-v*B,w[5]=-r*B,w[1]=w[3]=w[6]=w[7]=0,w[8]=1},k=new jsfeat.matrix_t(3,3,jsfeat.F32_t|jsfeat.C1_t),i=new jsfeat.matrix_t(3,3,jsfeat.F32_t|jsfeat.C1_t),o=new jsfeat.matrix_t(6,6,jsfeat.F32_t|jsfeat.C1_t),n=new jsfeat.matrix_t(6,1,jsfeat.F32_t|jsfeat.C1_t),j=function(){function p(){}return p.prototype.run=function(D,q,r,t){var x,w,G=0,F=0,B=r.type|jsfeat.C1_t,J=r.data,v=k.data,E=i.data,A=0,z=0;e(D,q,v,E,t);for(var u=jsfeat.cache.get_buffer(2*t*6<<3),y=jsfeat.cache.get_buffer(2*t<<3),C=new jsfeat.matrix_t(6,2*t,B,u.data),H=new jsfeat.matrix_t(1,2*t,B,y.data),I=C.data,s=H.data;G<t;++G)x=D[G],w=q[G],A=v[0]*x.x+v[1]*x.y+v[2],z=v[3]*x.x+v[4]*x.y+v[5],I[F=2*G*6]=A,I[F+1]=z,I[F+2]=1,I[F+3]=0,I[F+4]=0,I[F+5]=0,I[F+=6]=0,I[F+1]=0,I[F+2]=0,I[F+3]=A,I[F+4]=z,I[F+5]=1,s[G<<1]=E[0]*w.x+E[1]*w.y+E[2],s[1+(G<<1)]=E[3]*w.x+E[4]*w.y+E[5];return jsfeat.matmath.multiply_AtA(o,C),jsfeat.matmath.multiply_AtB(n,C,H),jsfeat.linalg.lu_solve(o,n),J[0]=n.data[0],J[1]=n.data[1],J[2]=n.data[2],J[3]=n.data[3],J[4]=n.data[4],J[5]=n.data[5],J[6]=0,J[7]=0,J[8]=1,jsfeat.matmath.invert_3x3(i,i),jsfeat.matmath.multiply_3x3(r,i,r),jsfeat.matmath.multiply_3x3(r,r,k),jsfeat.cache.put_buffer(u),jsfeat.cache.put_buffer(y),1},p.prototype.error=function(v,w,t,r,u){for(var y,x,s=0,q=t.data;s<u;++s)y=v[s],x=w[s],r[s]=m(x.x-q[0]*y.x-q[1]*y.y-q[2])+m(x.y-q[3]*y.x-q[4]*y.y-q[5])},p.prototype.check_subset=function(s,r,q){return!0},p}(),g=new jsfeat.matrix_t(9,9,jsfeat.F32_t|jsfeat.C1_t),f=new jsfeat.matrix_t(9,9,jsfeat.F32_t|jsfeat.C1_t);return{affine2d:j,homography2d:function(){function p(){}return p.prototype.run=function(I,r,v,C){for(var L=0,K=0,O=v.data,D=k.data,J=i.data,M=g.data,N=f.data,H=0,G=0,s=0,q=0,u=0,t=0,B=0,A=0,z=0,w=0,F=0,E=0;L<C;++L)B+=r[L].x,A+=r[L].y,F+=I[L].x,E+=I[L].y;for(B/=C,A/=C,F/=C,E/=C,L=0;L<C;++L)u+=Math.abs(r[L].x-B),t+=Math.abs(r[L].y-A),z+=Math.abs(I[L].x-F),w+=Math.abs(I[L].y-E);if(Math.abs(u)<jsfeat.EPSILON||Math.abs(t)<jsfeat.EPSILON||Math.abs(z)<jsfeat.EPSILON||Math.abs(w)<jsfeat.EPSILON)return 0;for(u=C/u,t=C/t,z=C/z,w=C/w,D[0]=z,D[1]=0,D[2]=-F*z,D[3]=0,D[4]=w,D[5]=-E*w,D[6]=0,D[7]=0,D[8]=1,J[0]=1/u,J[1]=0,J[2]=B,J[3]=0,J[4]=1/t,J[5]=A,J[6]=0,J[7]=0,J[8]=1,L=81;--L>=0;)M[L]=0;for(L=0;L<C;++L)H=(r[L].x-B)*u,G=(r[L].y-A)*t,s=(I[L].x-F)*z,q=(I[L].y-E)*w,M[0]+=s*s,M[1]+=s*q,M[2]+=s,M[6]+=s*-H*s,M[7]+=s*-H*q,M[8]+=s*-H,M[10]+=q*q,M[11]+=q,M[15]+=q*-H*s,M[16]+=q*-H*q,M[17]+=q*-H,M[20]+=1,M[24]+=-H*s,M[25]+=-H*q,M[26]+=-H,M[30]+=s*s,M[31]+=s*q,M[32]+=s,M[33]+=s*-G*s,M[34]+=s*-G*q,M[35]+=s*-G,M[40]+=q*q,M[41]+=q,M[42]+=q*-G*s,M[43]+=q*-G*q,M[44]+=q*-G,M[50]+=1,M[51]+=-G*s,M[52]+=-G*q,M[53]+=-G,M[60]+=-H*s*-H*s+-G*s*-G*s,M[61]+=-H*s*-H*q+-G*s*-G*q,M[62]+=-H*s*-H+-G*s*-G,M[70]+=-H*q*-H*q+-G*q*-G*q,M[71]+=-H*q*-H+-G*q*-G,M[80]+=-H*-H+-G*-G;for(L=0;L<9;++L)for(K=0;K<L;++K)M[9*L+K]=M[9*K+L];return jsfeat.linalg.eigenVV(g,f),O[0]=N[72],O[1]=N[73],O[2]=N[74],O[3]=N[75],O[4]=N[76],O[5]=N[77],O[6]=N[78],O[7]=N[79],O[8]=N[80],jsfeat.matmath.multiply_3x3(v,i,v),jsfeat.matmath.multiply_3x3(v,v,k),H=1/O[8],O[0]*=H,O[1]*=H,O[2]*=H,O[3]*=H,O[4]*=H,O[5]*=H,O[6]*=H,O[7]*=H,O[8]=1,1},p.prototype.error=function(w,x,u,r,v){for(var z,y,t=0,s=0,B=0,A=0,q=u.data;t<v;++t)z=w[t],y=x[t],s=1/(q[6]*z.x+q[7]*z.y+1),B=(q[0]*z.x+q[1]*z.y+q[2])*s-y.x,A=(q[3]*z.x+q[4]*z.y+q[5])*s-y.y,r[t]=B*B+A*A},p.prototype.check_subset=function(M,s,B){if(4==B){var N=0,I=M[0],H=M[1],G=M[2],E=M[3],A=s[0],y=s[1],w=s[2],u=s[3],L=I.x,K=I.y,V=H.x,U=H.y,z=G.x,x=G.y,t=A.x,r=A.y,F=y.x,D=y.y,Q=w.x,P=w.y,S=jsfeat.matmath.determinant_3x3(L,K,1,V,U,1,z,x,1),R=jsfeat.matmath.determinant_3x3(t,r,1,F,D,1,Q,P,1);if(S*R<0&&N++,L=H.x,K=H.y,V=G.x,U=G.y,z=E.x,x=E.y,t=y.x,r=y.y,F=w.x,D=w.y,Q=u.x,P=u.y,S=jsfeat.matmath.determinant_3x3(L,K,1,V,U,1,z,x,1),R=jsfeat.matmath.determinant_3x3(t,r,1,F,D,1,Q,P,1),S*R<0&&N++,L=I.x,K=I.y,V=G.x,U=G.y,z=E.x,x=E.y,t=A.x,r=A.y,F=w.x,D=w.y,Q=u.x,P=u.y,S=jsfeat.matmath.determinant_3x3(L,K,1,V,U,1,z,x,1),R=jsfeat.matmath.determinant_3x3(t,r,1,F,D,1,Q,P,1),S*R<0&&N++,L=I.x,K=I.y,V=H.x,U=H.y,z=E.x,x=E.y,t=A.x,r=A.y,F=y.x,D=y.y,Q=u.x,P=u.y,S=jsfeat.matmath.determinant_3x3(L,K,1,V,U,1,z,x,1),R=jsfeat.matmath.determinant_3x3(t,r,1,F,D,1,Q,P,1),S*R<0&&N++,0!=N&&4!=N)return!1}return!0},p}()}}(),b=function(){function e(h,i,f,g){void 0===h&&(h=0),void 0===i&&(i=.5),void 0===f&&(f=.5),void 0===g&&(g=.99),this.size=h,this.thresh=i,this.eps=f,this.prob=g}return e.prototype.update_iters=function(g,i){var h=Math.log(1-this.prob),f=Math.log(1-Math.pow(1-g,this.size));return 0|(f>=0||-h>=i*-f?i:Math.round(h/f))},e}(),d=function(){var e=function(l,q,r,p,t,m,g){for(var s=[],n=0,k=0,u=0,h=0,o=!1;u<1e3;++u){for(n=0;n<p&&u<1e3;){for(o=!1,h=0;!o;)for(o=!0,h=s[n]=0|Math.floor(Math.random()*t),k=0;k<n;++k)if(h==s[k]){o=!1;break}m[n]=q[h],g[n]=r[h],l.check_subset(m,g,n+1)?++n:u++}break}return n==p&&u<1e3},f=function(k,m,p,q,o,g,h,s){var j=0,l=0,n=0,r=g*g;for(k.error(p,q,m,h,o);l<o;++l)n=h[l]<=r,s[l]=n,j+=n;return j};return{ransac:function(E,m,x,i,l,j,y,g){if(void 0===g&&(g=1e3),l<E.size)return!1;var v=E.size,A=g,z=0,q=!1,D=[],C=[],G=j.cols,w=j.rows,u=j.type|jsfeat.C1_t,B=jsfeat.cache.get_buffer(G*w<<3),h=jsfeat.cache.get_buffer(l),t=jsfeat.cache.get_buffer(l<<2),o=new jsfeat.matrix_t(G,w,u,B.data),s=new jsfeat.matrix_t(l,1,jsfeat.U8C1_t,h.data),F=-1,p=0,k=t.f32;if(l==v){if(m.run(x,i,o,l)<=0)return jsfeat.cache.put_buffer(B),jsfeat.cache.put_buffer(h),jsfeat.cache.put_buffer(t),!1;if(o.copy_to(j),y)for(;--l>=0;)y.data[l]=1;return jsfeat.cache.put_buffer(B),jsfeat.cache.put_buffer(h),jsfeat.cache.put_buffer(t),!0}for(;z<A;++z){if(!e(m,x,i,v,l,D,C)){if(0==z)return jsfeat.cache.put_buffer(B),jsfeat.cache.put_buffer(h),jsfeat.cache.put_buffer(t),!1;break}m.run(D,C,o,v)<=0||(p=f(m,o,x,i,l,E.thresh,k,s.data))>Math.max(F,v-1)&&(o.copy_to(j),F=p,y&&s.copy_to(y),A=E.update_iters((l-p)/l,A),q=!0)}return jsfeat.cache.put_buffer(B),jsfeat.cache.put_buffer(h),jsfeat.cache.put_buffer(t),q},lmeds:function(H,n,z,i,l,j,B,g){if(void 0===g&&(g=1e3),l<H.size)return!1;var w=H.size,D=g,C=0,r=!1,G=[],F=[],I=j.cols,y=j.rows,v=j.type|jsfeat.C1_t,E=jsfeat.cache.get_buffer(I*y<<3),h=jsfeat.cache.get_buffer(l),u=jsfeat.cache.get_buffer(l<<2),p=new jsfeat.matrix_t(I,y,v,E.data),t=new jsfeat.matrix_t(l,1,jsfeat.U8_t|jsfeat.C1_t,h.data),q=0,k=u.f32,A=1e9,x=0,m=0;if(H.eps=.45,D=H.update_iters(H.eps,D),l==w){if(n.run(z,i,p,l)<=0)return jsfeat.cache.put_buffer(E),jsfeat.cache.put_buffer(h),jsfeat.cache.put_buffer(u),!1;if(p.copy_to(j),B)for(;--l>=0;)B.data[l]=1;return jsfeat.cache.put_buffer(E),jsfeat.cache.put_buffer(h),jsfeat.cache.put_buffer(u),!0}for(;C<D;++C){if(!e(n,z,i,w,l,G,F)){if(0==C)return jsfeat.cache.put_buffer(E),jsfeat.cache.put_buffer(h),jsfeat.cache.put_buffer(u),!1;break}n.run(G,F,p,w)<=0||(n.error(z,i,p,k,l),(m=jsfeat.math.median(k,0,l-1))<A&&(A=m,p.copy_to(j),r=!0))}return r&&(x=2.5*1.4826*(1+5/(l-w))*Math.sqrt(A),x=Math.max(x,.001),q=f(n,j,z,i,l,x,k,t.data),B&&t.copy_to(B),r=q>=w),jsfeat.cache.put_buffer(E),jsfeat.cache.put_buffer(h),jsfeat.cache.put_buffer(u),r}}}();a.ransac_params_t=b,a.motion_model=c,a.motion_estimator=d}(jsfeat),function(b){var a=function(){var c=function(q,S,O,p){for(var r=0,y=q.channel,v=q.cols,J=q.rows,P=q.data,m=S.data,I=v/O,H=J/p,n=I*H*65536|0,x=0,u=0,C=0,A=0,t=0,s=0,G=0,F=0,D=0,B=0,Q=0,N=0,K=0,o=0,M=0,E=0,l=jsfeat.cache.get_buffer(O*y<<2),g=jsfeat.cache.get_buffer(O*y<<2),R=jsfeat.cache.get_buffer(2*v*3<<2),L=l.i32,j=g.i32,z=R.i32;x<O;x++){for(t=(D=x*I)+1-1e-6|0,s=0|(B=D+I),t=Math.min(t,v-1),s=Math.min(s,v-1),t>D&&(z[F++]=x*y|0,z[F++]=(t-1)*y|0,z[F++]=256*(t-D)|0,r++),C=t;C<s;C++)r++,z[F++]=x*y|0,z[F++]=C*y|0,z[F++]=256;B-s>.001&&(r++,z[F++]=x*y|0,z[F++]=s*y|0,z[F++]=256*(B-s)|0)}for(x=0;x<O*y;x++)L[x]=j[x]=0;for(u=0,A=0;A<J;A++){for(Q=v*A,F=0;F<r;F++)for(K=z[3*F],t=z[3*F+1],o=z[3*F+2],G=0;G<y;G++)L[K+G]+=P[Q+t+G]*o;if((u+1)*H<=A+1||A==J-1){if(M=256*Math.max(A+1-(u+1)*H,0)|0,E=256-M,N=O*u,M<=0)for(x=0;x<O*y;x++)m[N+x]=Math.min(Math.max((j[x]+256*L[x])/n,0),255),j[x]=L[x]=0;else for(x=0;x<O*y;x++)m[N+x]=Math.min(Math.max((j[x]+L[x]*E)/n,0),255),j[x]=L[x]*M,L[x]=0;u++}else for(x=0;x<O*y;x++)j[x]+=256*L[x],L[x]=0}jsfeat.cache.put_buffer(g),jsfeat.cache.put_buffer(l),jsfeat.cache.put_buffer(R)},f=function(p,S,N,o){for(var q=0,x=p.channel,u=p.cols,I=p.rows,O=p.data,m=S.data,H=u/N,G=I/o,Q=1/(H*G),v=0,t=0,B=0,z=0,s=0,r=0,F=0,E=0,C=0,A=0,P=0,M=0,J=0,n=0,L=0,D=0,l=jsfeat.cache.get_buffer(N*x<<2),g=jsfeat.cache.get_buffer(N*x<<2),R=jsfeat.cache.get_buffer(2*u*3<<2),K=l.f32,j=g.f32,y=R.f32;v<N;v++){for(s=(C=v*H)+1-1e-6|0,r=0|(A=C+H),s=Math.min(s,u-1),r=Math.min(r,u-1),s>C&&(q++,y[E++]=(s-1)*x|0,y[E++]=v*x|0,y[E++]=(s-C)*Q),B=s;B<r;B++)q++,y[E++]=B*x|0,y[E++]=v*x|0,y[E++]=Q;A-r>.001&&(q++,y[E++]=r*x|0,y[E++]=v*x|0,y[E++]=(A-r)*Q)}for(v=0;v<N*x;v++)K[v]=j[v]=0;for(t=0,z=0;z<I;z++){for(P=u*z,E=0;E<q;E++)for(s=0|y[3*E],J=0|y[3*E+1],n=y[3*E+2],F=0;F<x;F++)K[J+F]+=O[P+s+F]*n;if((t+1)*G<=z+1||z==I-1){if(L=Math.max(z+1-(t+1)*G,0),D=1-L,M=N*t,Math.abs(L)<.001)for(v=0;v<N*x;v++)m[M+v]=j[v]+K[v],j[v]=K[v]=0;else for(v=0;v<N*x;v++)m[M+v]=j[v]+K[v]*D,j[v]=K[v]*L,K[v]=0;t++}else for(v=0;v<N*x;v++)j[v]+=K[v],K[v]=0}jsfeat.cache.put_buffer(g),jsfeat.cache.put_buffer(l),jsfeat.cache.put_buffer(R)},e=function(D,F,m,s,B,t,g,n){for(var z=0,y=0,x=0,A=0,u=0,l=0,G=0,E=0,C=0,v=t[0],r=0,q=s<<1,p=3*s,o=s<<2;z<B;++z){for(l=F[A],y=0;y<n;++y)D[y]=l;for(y=0;y<=s-2;y+=2)D[y+n]=F[A+y],D[y+n+1]=F[A+y+1];for(;y<s;++y)D[y+n]=F[A+y];for(l=F[A+s-1],y=s;y<n+s;++y)D[y+n]=l;for(y=0;y<=s-4;y+=4){for(l=D[y]*v,G=D[y+1]*v,E=D[y+2]*v,C=D[y+3]*v,x=1;x<g;++x)r=t[x],l+=D[x+y]*r,G+=D[x+y+1]*r,E+=D[x+y+2]*r,C+=D[x+y+3]*r;m[u+y]=Math.min(l>>8,255),m[u+y+1]=Math.min(G>>8,255),m[u+y+2]=Math.min(E>>8,255),m[u+y+3]=Math.min(C>>8,255)}for(;y<s;++y){for(l=D[y]*v,x=1;x<g;++x)l+=D[x+y]*t[x];m[u+y]=Math.min(l>>8,255)}A+=s,u+=s}for(z=0;z<s;++z){for(l=m[z],y=0;y<n;++y)D[y]=l;for(x=z,y=0;y<=B-2;y+=2,x+=q)D[y+n]=m[x],D[y+n+1]=m[x+s];for(;y<B;++y,x+=s)D[y+n]=m[x];for(l=m[(B-1)*s+z],y=B;y<n+B;++y)D[y+n]=l;for(u=z,y=0;y<=B-4;y+=4,u+=o){for(l=D[y]*v,G=D[y+1]*v,E=D[y+2]*v,C=D[y+3]*v,x=1;x<g;++x)r=t[x],l+=D[x+y]*r,G+=D[x+y+1]*r,E+=D[x+y+2]*r,C+=D[x+y+3]*r;m[u]=Math.min(l>>8,255),m[u+s]=Math.min(G>>8,255),m[u+q]=Math.min(E>>8,255),m[u+p]=Math.min(C>>8,255)}for(;y<B;++y,u+=s){for(l=D[y]*v,x=1;x<g;++x)l+=D[x+y]*t[x];m[u]=Math.min(l>>8,255)}}},d=function(D,F,m,s,B,t,g,n){for(var z=0,y=0,x=0,A=0,u=0,l=0,G=0,E=0,C=0,v=t[0],r=0,q=s<<1,p=3*s,o=s<<2;z<B;++z){for(l=F[A],y=0;y<n;++y)D[y]=l;for(y=0;y<=s-2;y+=2)D[y+n]=F[A+y],D[y+n+1]=F[A+y+1];for(;y<s;++y)D[y+n]=F[A+y];for(l=F[A+s-1],y=s;y<n+s;++y)D[y+n]=l;for(y=0;y<=s-4;y+=4){for(l=D[y]*v,G=D[y+1]*v,E=D[y+2]*v,C=D[y+3]*v,x=1;x<g;++x)r=t[x],l+=D[x+y]*r,G+=D[x+y+1]*r,E+=D[x+y+2]*r,C+=D[x+y+3]*r;m[u+y]=l,m[u+y+1]=G,m[u+y+2]=E,m[u+y+3]=C}for(;y<s;++y){for(l=D[y]*v,x=1;x<g;++x)l+=D[x+y]*t[x];m[u+y]=l}A+=s,u+=s}for(z=0;z<s;++z){for(l=m[z],y=0;y<n;++y)D[y]=l;for(x=z,y=0;y<=B-2;y+=2,x+=q)D[y+n]=m[x],D[y+n+1]=m[x+s];for(;y<B;++y,x+=s)D[y+n]=m[x];for(l=m[(B-1)*s+z],y=B;y<n+B;++y)D[y+n]=l;for(u=z,y=0;y<=B-4;y+=4,u+=o){for(l=D[y]*v,G=D[y+1]*v,E=D[y+2]*v,C=D[y+3]*v,x=1;x<g;++x)r=t[x],l+=D[x+y]*r,G+=D[x+y+1]*r,E+=D[x+y+2]*r,C+=D[x+y+3]*r;m[u]=l,m[u+s]=G,m[u+q]=E,m[u+p]=C}for(;y<B;++y,u+=s){for(l=D[y]*v,x=1;x<g;++x)l+=D[x+y]*t[x];m[u]=l}}};return{grayscale:function(n,r,A,D,g){void 0===g&&(g=jsfeat.COLOR_RGBA2GRAY);var q=0,p=0,z=0,v=0,m=0,u=0,s=4899,B=9617,C=1868,o=4;g!=jsfeat.COLOR_BGRA2GRAY&&g!=jsfeat.COLOR_BGR2GRAY||(s=1868,C=4899),g!=jsfeat.COLOR_RGB2GRAY&&g!=jsfeat.COLOR_BGR2GRAY||(o=3);var l=o<<1,k=3*o|0;D.resize(r,A,1);var t=D.data;for(p=0;p<A;++p,v+=r,z+=r*o){for(q=0,m=z,u=v;q<=r-4;q+=4,m+=o<<2,u+=4)t[u]=n[m]*s+n[m+1]*B+n[m+2]*C+8192>>14,t[u+1]=n[m+o]*s+n[m+o+1]*B+n[m+o+2]*C+8192>>14,t[u+2]=n[m+l]*s+n[m+l+1]*B+n[m+l+2]*C+8192>>14,t[u+3]=n[m+k]*s+n[m+k+1]*B+n[m+k+2]*C+8192>>14;for(;q<r;++q,++u,m+=o)t[u]=n[m]*s+n[m+1]*B+n[m+2]*C+8192>>14}},resample:function(l,m,i,k){var j=l.rows,g=l.cols;j>k&&g>i&&(m.resize(i,k,l.channel),l.type&jsfeat.U8_t&&m.type&jsfeat.U8_t&&j*g/(k*i)<256?c(l,m,i,k):f(l,m,i,k))},box_blur_gray:function(r,J,n,l){void 0===l&&(l=0);var z=r.cols,E=r.rows,s=E<<1,v=z<<1,D=0,u=0,t=0,m=0,B=1+(n<<1)|0,p=n+1|0,H=p+1|0,I=l&jsfeat.BOX_BLUR_NOSCALE?1:1/(B*B),C=jsfeat.cache.get_buffer(z*E<<2),j=0,G=0,o=0,q=0,k=0,F=C.i32,g=r.data,A=0;for(J.resize(z,E,r.channel),t=0;t<E;++t){for(G=t,j=p*g[o],D=o+1|0,m=o+n|0;D<=m;++D)j+=g[D];for(q=o+p|0,A=g[k=o],u=0;u<n;++u,G+=E)F[G]=j,j+=g[q]-A,q++;for(;u<z-H;u+=2,G+=s)F[G]=j,j+=g[q]-g[k],F[G+E]=j,j+=g[q+1]-g[k+1],q+=2,k+=2;for(;u<z-p;++u,G+=E)F[G]=j,j+=g[q]-g[k],q++,k++;for(A=g[q-1];u<z;++u,G+=E)F[G]=j,j+=A-g[k],k++;o+=z}if(o=0,g=J.data,1==I)for(t=0;t<z;++t){for(G=t,j=p*F[o],D=o+1|0,m=o+n|0;D<=m;++D)j+=F[D];for(q=o+p,A=F[k=o],u=0;u<n;++u,G+=z)g[G]=j,j+=F[q]-A,q++;for(;u<E-H;u+=2,G+=v)g[G]=j,j+=F[q]-F[k],g[G+z]=j,j+=F[q+1]-F[k+1],q+=2,k+=2;for(;u<E-p;++u,G+=z)g[G]=j,j+=F[q]-F[k],q++,k++;for(A=F[q-1];u<E;++u,G+=z)g[G]=j,j+=A-F[k],k++;o+=E}else for(t=0;t<z;++t){for(G=t,j=p*F[o],D=o+1|0,m=o+n|0;D<=m;++D)j+=F[D];for(q=o+p,A=F[k=o],u=0;u<n;++u,G+=z)g[G]=j*I,j+=F[q]-A,q++;for(;u<E-H;u+=2,G+=v)g[G]=j*I,j+=F[q]-F[k],g[G+z]=j*I,j+=F[q+1]-F[k+1],q+=2,k+=2;for(;u<E-p;++u,G+=z)g[G]=j*I,j+=F[q]-F[k],q++,k++;for(A=F[q-1];u<E;++u,G+=z)g[G]=j*I,j+=A-F[k],k++;o+=E}jsfeat.cache.put_buffer(C)},gaussian_blur:function(g,s,r,v){void 0===v&&(v=0),void 0===r&&(r=0);var x=(r=0==r?2*Math.max(1,4*v+1-1e-8)+1|0:r)>>1,t=g.cols,p=g.rows,u=g.type,n=u&jsfeat.U8_t;s.resize(t,p,g.channel);var k,i,m=g.data,j=s.data,q=r+Math.max(p,t)|0,l=jsfeat.cache.get_buffer(q<<2),o=jsfeat.cache.get_buffer(r<<2);n?(k=l.i32,i=o.i32):u&jsfeat.S32_t?(k=l.i32,i=o.f32):(k=l.f32,i=o.f32),jsfeat.math.get_gaussian_kernel(r,v,i,u),n?e(k,m,j,t,p,i,r,x):d(k,m,j,t,p,i,r,x),jsfeat.cache.put_buffer(l),jsfeat.cache.put_buffer(o)},pyrdown:function(k,A,s,r){void 0===s&&(s=0),void 0===r&&(r=0);var q=k.cols,p=q>>1,l=k.rows>>1,B=p-(s<<1),u=l-(r<<1),o=0,n=0,g=s+r*q,m=0,v=0,i=0;A.resize(p,l,k.channel);var z=k.data,j=A.data;for(n=0;n<u;++n){for(m=g,i=v,o=0;o<=B-2;o+=2,i+=2,m+=4)j[i]=z[m]+z[m+1]+z[m+q]+z[m+q+1]+2>>2,j[i+1]=z[m+2]+z[m+3]+z[m+q+2]+z[m+q+3]+2>>2;for(;o<B;++o,++i,m+=2)j[i]=z[m]+z[m+1]+z[m+q]+z[m+q+1]+2>>2;g+=q<<1,v+=p}},scharr_derivatives:function(j,G){var E,D,C,B,A,z,n,l,p=j.cols,s=j.rows,H=p<<1,o=0,m=0,u=0,v=0,t=0,r=0,i=0;G.resize(p,s,2);var F=j.data,g=G.data,k=jsfeat.cache.get_buffer(p+2<<2),q=jsfeat.cache.get_buffer(p+2<<2);for(j.type&jsfeat.U8_t||j.type&jsfeat.S32_t?(n=k.i32,l=q.i32):(n=k.f32,l=q.f32);m<s;++m,t+=p){for(v=(m>0?m-1:1)*p|0,r=(m<s-1?m+1:s-2)*p|0,i=m*H|0,o=0,u=1;o<=p-2;o+=2,u+=2)E=F[v+o],D=F[r+o],n[u]=3*(E+D)+10*F[t+o],l[u]=D-E,E=F[v+o+1],D=F[r+o+1],n[u+1]=3*(E+D)+10*F[t+o+1],l[u+1]=D-E;for(;o<p;++o,++u)E=F[v+o],D=F[r+o],n[u]=3*(E+D)+10*F[t+o],l[u]=D-E;for(o=p+1|0,n[0]=n[1],n[o]=n[p],l[0]=l[1],l[o]=l[p],o=0;o<=p-4;o+=4)E=l[o+2],D=l[o+1],C=l[o+3],B=l[o+4],A=n[o+2],z=n[o+3],g[i++]=A-n[o],g[i++]=3*(E+l[o])+10*D,g[i++]=z-n[o+1],g[i++]=3*(C+D)+10*E,g[i++]=n[o+4]-A,g[i++]=3*(B+E)+10*C,g[i++]=n[o+5]-z,g[i++]=3*(l[o+5]+C)+10*B;for(;o<p;++o)g[i++]=n[o+2]-n[o],g[i++]=3*(l[o+2]+l[o])+10*l[o+1]}jsfeat.cache.put_buffer(k),jsfeat.cache.put_buffer(q)},sobel_derivatives:function(j,G){var E,D,C,B,A,z,n,l,p=j.cols,s=j.rows,H=p<<1,o=0,m=0,u=0,v=0,t=0,r=0,i=0;G.resize(p,s,2);var F=j.data,g=G.data,k=jsfeat.cache.get_buffer(p+2<<2),q=jsfeat.cache.get_buffer(p+2<<2);for(j.type&jsfeat.U8_t||j.type&jsfeat.S32_t?(n=k.i32,l=q.i32):(n=k.f32,l=q.f32);m<s;++m,t+=p){for(v=(m>0?m-1:1)*p|0,r=(m<s-1?m+1:s-2)*p|0,i=m*H|0,o=0,u=1;o<=p-2;o+=2,u+=2)E=F[v+o],D=F[r+o],n[u]=E+D+2*F[t+o],l[u]=D-E,E=F[v+o+1],D=F[r+o+1],n[u+1]=E+D+2*F[t+o+1],l[u+1]=D-E;for(;o<p;++o,++u)E=F[v+o],D=F[r+o],n[u]=E+D+2*F[t+o],l[u]=D-E;for(o=p+1|0,n[0]=n[1],n[o]=n[p],l[0]=l[1],l[o]=l[p],o=0;o<=p-4;o+=4)E=l[o+2],D=l[o+1],C=l[o+3],B=l[o+4],A=n[o+2],z=n[o+3],g[i++]=A-n[o],g[i++]=E+l[o]+2*D,g[i++]=z-n[o+1],g[i++]=C+D+2*E,g[i++]=n[o+4]-A,g[i++]=B+E+2*C,g[i++]=n[o+5]-z,g[i++]=l[o+5]+C+2*B;for(;o<p;++o)g[i++]=n[o+2]-n[o],g[i++]=l[o+2]+l[o]+2*l[o+1]}jsfeat.cache.put_buffer(k),jsfeat.cache.put_buffer(q)},compute_integral_image:function(g,l,y,u){var t=0|g.cols,w=0|g.rows,o=g.data,r=t+1|0,B=0,z=0,h=0,x=0,q=0,n=0,A=0,m=0;if(l&&y){for(;q<r;++q)l[q]=0,y[q]=0;for(h=r+1|0,x=1,q=0,m=0;q<w;++q,++h,++x){for(B=z=0,n=0;n<=t-2;n+=2,m+=2,h+=2,x+=2)B+=A=o[m],z+=A*A,l[h]=l[x]+B,y[h]=y[x]+z,B+=A=o[m+1],z+=A*A,l[h+1]=l[x+1]+B,y[h+1]=y[x+1]+z;for(;n<t;++n,++m,++h,++x)B+=A=o[m],z+=A*A,l[h]=l[x]+B,y[h]=y[x]+z}}else if(l){for(;q<r;++q)l[q]=0;for(h=r+1|0,x=1,q=0,m=0;q<w;++q,++h,++x){for(B=0,n=0;n<=t-2;n+=2,m+=2,h+=2,x+=2)B+=o[m],l[h]=l[x]+B,B+=o[m+1],l[h+1]=l[x+1]+B;for(;n<t;++n,++m,++h,++x)B+=o[m],l[h]=l[x]+B}}else if(y){for(;q<r;++q)y[q]=0;for(h=r+1|0,x=1,q=0,m=0;q<w;++q,++h,++x){for(z=0,n=0;n<=t-2;n+=2,m+=2,h+=2,x+=2)z+=(A=o[m])*A,y[h]=y[x]+z,z+=(A=o[m+1])*A,y[h+1]=y[x+1]+z;for(;n<t;++n,++m,++h,++x)z+=(A=o[m])*A,y[h]=y[x]+z}}if(u){for(q=0;q<r;++q)u[q]=0;for(h=r+1|0,x=0,q=0,m=0;q<w;++q,++h,++x){for(n=0;n<=t-2;n+=2,m+=2,h+=2,x+=2)u[h]=o[m]+u[x],u[h+1]=o[m+1]+u[x+1];for(;n<t;++n,++m,++h,++x)u[h]=o[m]+u[x]}for(h=r+t|0,x=t,q=0;q<w;++q,h+=r,x+=r)u[h]+=u[x];for(n=t-1;n>0;--n)for(x=(h=n+w*r)-r,q=w;q>0;--q,h-=r,x-=r)u[h]+=u[x]+u[x+1]}},equalize_histogram:function(j,r){var s=j.cols,q=j.rows,o=j.data;r.resize(s,q,j.channel);var k,g,l=r.data,t=s*q,p=0,n=0,m=jsfeat.cache.get_buffer(1024);for(k=m.i32;p<256;++p)k[p]=0;for(p=0;p<t;++p)++k[o[p]];for(n=k[0],p=1;p<256;++p)n=k[p]+=n;for(g=255/t,p=0;p<t;++p)l[p]=k[o[p]]*g+.5|0;jsfeat.cache.put_buffer(m)},canny:function(u,V,E,k){var C=u.cols,L=u.rows;u.data;V.resize(C,L,u.channel);var o=V.data,K=0,H=0,q=0,A=C<<1,R=0,J=0,N=0,z=0,v=0,D=0,g=0,U=0,p=jsfeat.cache.get_buffer(L*A<<2),m=jsfeat.cache.get_buffer(3*(C+2)<<2),n=jsfeat.cache.get_buffer((L+2)*(C+2)<<2),t=jsfeat.cache.get_buffer(L*C<<2),Q=m.i32,T=n.i32,r=t.i32,G=p.i32,l=new jsfeat.matrix_t(C,L,jsfeat.S32C2_t,p.data),P=1,O=C+2+1|0,M=2*(C+2)+1|0,B=C+2|0,I=B+1|0,F=0;for(this.sobel_derivatives(u,l),E>k&&(K=E,E=k,k=K),K=3*(C+2)|0;--K>=0;)Q[K]=0;for(K=(L+2)*(C+2)|0;--K>=0;)T[K]=0;for(;H<C;++H,q+=2)z=G[q],v=G[q+1],Q[O+H]=(z^z>>31)-(z>>31)+((v^v>>31)-(v>>31));for(K=1;K<=L;++K,q+=A){if(K==L)for(H=M+C;--H>=M;)Q[H]=0;else for(H=0;H<C;H++)z=G[q+(H<<1)],v=G[q+(H<<1)+1],Q[M+H]=(z^z>>31)-(z>>31)+((v^v>>31)-(v>>31));for(R=q-A|0,T[I-1]=0,J=0,H=0;H<C;++H,R+=2){if((N=Q[O+H])>E)if(z=G[R],v=G[R+1],D=z^v,z=(z^z>>31)-(z>>31)|0,v=(v^v>>31)-(v>>31)|0,g=13573*z,U=g+(z+z<<15),(v<<=15)<g){if(N>Q[O+H-1]&&N>=Q[O+H+1]){N>k&&!J&&2!=T[I+H-B]?(T[I+H]=2,J=1,r[F++]=I+H):T[I+H]=1;continue}}else if(v>U){if(N>Q[P+H]&&N>=Q[M+H]){N>k&&!J&&2!=T[I+H-B]?(T[I+H]=2,J=1,r[F++]=I+H):T[I+H]=1;continue}}else if(D=D<0?-1:1,N>Q[P+H-D]&&N>Q[M+H+D]){N>k&&!J&&2!=T[I+H-B]?(T[I+H]=2,J=1,r[F++]=I+H):T[I+H]=1;continue}T[I+H]=0,J=0}T[I+C]=0,I+=B,H=P,P=O,O=M,M=H}for(H=I-B-1,K=0;K<B;++K,++H)T[H]=0;for(;F>0;)I=r[--F],1==T[I-=B+1]&&(T[I]=2,r[F++]=I),1==T[I+=1]&&(T[I]=2,r[F++]=I),1==T[I+=1]&&(T[I]=2,r[F++]=I),1==T[I+=B]&&(T[I]=2,r[F++]=I),1==T[I-=2]&&(T[I]=2,r[F++]=I),1==T[I+=B]&&(T[I]=2,r[F++]=I),1==T[I+=1]&&(T[I]=2,r[F++]=I),1==T[I+=1]&&(T[I]=2,r[F++]=I);for(I=B+1,P=0,K=0;K<L;++K,I+=B)for(H=0;H<C;++H)o[P++]=255*(2==T[I+H]);jsfeat.cache.put_buffer(p),jsfeat.cache.put_buffer(m),jsfeat.cache.put_buffer(n),jsfeat.cache.put_buffer(t)},warp_perspective:function(t,D,A,r){void 0===r&&(r=0);for(var l=0|t.cols,v=0|t.rows,L=0|D.cols,j=0|D.rows,H=t.data,q=D.data,F=0,E=0,G=0,u=0,k=0,C=0,p=0,h=0,O=0,P=0,s=0,R=0,Q=0,N=0,M=0,i=A.data,o=i[0],n=i[1],m=i[2],K=i[3],J=i[4],I=i[5],B=i[6],z=i[7],w=i[8],g=0;E<j;++E)for(h=n*E+m,O=J*E+I,P=z*E+w,F=0;F<L;++F,++g,h+=o,O+=K,P+=B)u=0|(C=h*(s=1/P)),k=0|(p=O*s),C>0&&p>0&&u<l-1&&k<v-1?(R=Math.max(C-u,0),Q=Math.max(p-k,0),N=H[G=l*k+u|0]+R*(H[G+1]-H[G]),M=H[G+l]+R*(H[G+l+1]-H[G+l]),q[g]=N+Q*(M-N)):q[g]=r},warp_affine:function(k,K,p,J){void 0===J&&(J=0);for(var u=k.cols,z=k.rows,j=K.cols,v=K.rows,E=k.data,i=K.data,o=0,n=0,I=0,q=0,A=0,m=0,w=0,G=0,D=0,h=0,g=0,l=p.data,t=l[0],s=l[1],r=l[2],H=l[3],F=l[4],C=l[5],B=0;n<v;++n)for(m=s*n+r,w=F*n+C,o=0;o<j;++o,++B,m+=t,w+=H)A=0|w,(q=0|m)>=0&&A>=0&&q<u-1&&A<z-1?(G=m-q,D=w-A,h=E[I=u*A+q]+G*(E[I+1]-E[I]),g=E[I+u]+G*(E[I+u+1]-E[I+u]),i[B]=h+D*(g-h)):i[B]=J},skindetector:function(o,p){for(var n,m,h,k,l=o.width*o.height;l--;)k=4*l,n=o.data[k],m=o.data[k+1],h=o.data[k+2],n>95&&m>40&&h>20&&n>m&&n>h&&n-Math.min(m,h)>15&&Math.abs(n-m)>15?p[l]=255:p[l]=0}}}();b.imgproc=a}(jsfeat),function(a){var b=function(){var h=new Int32Array([0,3,1,3,2,2,3,1,3,0,3,-1,2,-2,1,-3,0,-3,-1,-3,-2,-2,-3,-1,-3,0,-3,1,-2,2,-1,3]),f=new Uint8Array(512),e=new Int32Array(25),i=new Int32Array(25),d=function(l,n,o){for(var j=0,m=h;j<o;++j)l[j]=m[j<<1]+m[1+(j<<1)]*n;for(;j<25;++j)l[j]=l[j-o]},g=function(j,n,l,r,p){for(var o=0,w=j[n],m=p,t=0,u=0,s=0;o<25;++o)r[o]=w-j[n+l[o]];for(o=0;o<16;o+=2)t=Math.min(r[o+1],r[o+2]),(t=Math.min(t,r[o+3]))<=m||(t=Math.min(t,r[o+4]),t=Math.min(t,r[o+5]),t=Math.min(t,r[o+6]),t=Math.min(t,r[o+7]),t=Math.min(t,r[o+8]),m=Math.max(m,Math.min(t,r[o])),m=Math.max(m,Math.min(t,r[o+9])));for(u=-m,o=0;o<16;o+=2)s=Math.max(r[o+1],r[o+2]),s=Math.max(s,r[o+3]),s=Math.max(s,r[o+4]),(s=Math.max(s,r[o+5]))>=u||(s=Math.max(s,r[o+6]),s=Math.max(s,r[o+7]),s=Math.max(s,r[o+8]),u=Math.min(u,Math.max(s,r[o])),u=Math.min(u,Math.max(s,r[o+9])));return-u-1},c=20;return{set_threshold:function(j){c=Math.min(Math.max(j,0),255);for(var k=-255;k<=255;++k)f[k+255]=k<-c?1:k>c?2:0;return c},detect:function(L,H,D){void 0===D&&(D=3);var C,u=L.data,X=L.cols,ar=L.rows,ap=0,an=0,al=0,E=0,aq=0,B=jsfeat.cache.get_buffer(3*X),O=jsfeat.cache.get_buffer(3*(X+1)<<2),I=B.u8,F=O.i32,M=e,J=i,y=Math.max(3,D),Z=Math.min(ar-2,ar-D),z=Math.max(3,D),aa=Math.min(X-3,X-D),ah=0,P=0,Q=g,G=f,p=c,Y=0,ao=0,au=0,aw=0,U=0,V=0,av=0,R=0,at=0,T=0,S=0,o=0;d(M,X,16);var am=M[0],ak=M[1],aj=M[2],ai=M[3],ag=M[4],af=M[5],ae=M[6],ad=M[7],ac=M[8],ab=M[9],s=M[10],r=M[11],q=M[12],n=M[13],m=M[14],l=M[15];for(ap=0;ap<3*X;++ap)I[ap]=0;for(ap=y;ap<Z;++ap){for(av=ap*X+z|0,V=(aq=(ap-3)%3)*X|0,U=aq*(X+1)|0,an=0;an<X;++an)I[V+an]=0;if(aw=0,ap<Z-1)for(an=z;an<aa;++an,++av)if(Y=u[av],ao=255-Y,0!=(au=G[ao+u[av+am]]|G[ao+u[av+ac]])&&(au&=G[ao+u[av+aj]]|G[ao+u[av+s]],au&=G[ao+u[av+ag]]|G[ao+u[av+q]],0!=(au&=G[ao+u[av+ae]]|G[ao+u[av+m]]))){if(au&=G[ao+u[av+ak]]|G[ao+u[av+ab]],au&=G[ao+u[av+ai]]|G[ao+u[av+r]],au&=G[ao+u[av+af]]|G[ao+u[av+n]],1&(au&=G[ao+u[av+ad]]|G[ao+u[av+l]]))for(E=Y-p,ah=0,al=0;al<25;++al)if(u[av+M[al]]<E){if(++ah>8){F[U+ 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Math.min(Math.abs(k-j),Math.abs(-(k+j)))};return{laplacian_threshold:30,min_eigen_value_threshold:25,detect:function(l,A,z){void 0===z&&(z=5);var v,o=0,n=0,p=l.cols,B=l.rows,q=l.data,f=5*p|0,G=3+3*p|0,g=3-3*p|0,e=jsfeat.cache.get_buffer(p*B<<2),j=e.i32,i=0,k=0,m=0,r=0,u=0,F=this.laplacian_threshold,D=this.min_eigen_value_threshold,t=0|Math.max(5,z),s=0|Math.max(3,z),E=0|Math.min(p-5,p-z),C=0|Math.min(B-3,B-z);for(o=p*B;--o>=0;)j[o]=0;for(d(q,j,p,0,5,f,t,s,E,C),k=s*p+t|0,n=s;n<C;++n,k+=p)for(o=t,m=k;o<E;++o,++m)((i=j[m])<-F&&i<j[m-1]&&i<j[m+1]&&i<j[m-p]&&i<j[m+p]&&i<j[m-p-1]&&i<j[m+p-1]&&i<j[m-p+1]&&i<j[m+p+1]||i>F&&i>j[m-1]&&i>j[m+1]&&i>j[m-p]&&i>j[m+p]&&i>j[m-p-1]&&i>j[m+p-1]&&i>j[m-p+1]&&i>j[m+p+1])&&(r=c(q,m,i,5,f,G,g))>D&&((v=A[u]).x=o,v.y=n,v.score=r,++u,++o,++m);return jsfeat.cache.put_buffer(e),u}}}();b.yape06=a}(jsfeat),function(a){var b=function(){var d=function(l,m,k){var h,n,j=0;for(h=k,n=0;n<h;n++,j++)h=Math.sqrt(k*k-n*n)+.5|0,m[j]=h+l*n;for(h--;h<n&&h>=0;h--,j++)n=Math.sqrt(k*k-h*h)+.5|0,m[j]=h+l*n;for(;-h<n;h--,j++)n=Math.sqrt(k*k-h*h)+.5|0,m[j]=h+l*n;for(n--;n>=0;n--,j++)h=-Math.sqrt(k*k-n*n)-.5|0,m[j]=h+l*n;for(;n>h;n--,j++)h=-Math.sqrt(k*k-n*n)-.5|0,m[j]=h+l*n;for(h++;h<=0;h++,j++)n=-Math.sqrt(k*k-h*h)-.5|0,m[j]=h+l*n;for(;h<-n;h++,j++)n=-Math.sqrt(k*k-h*h)-.5|0,m[j]=h+l*n;for(n++;n<0;n++,j++)h=Math.sqrt(k*k-n*n)+.5|0,m[j]=h+l*n;return m[j]=m[0],m[j+1]=m[1],j},g=function(h,j,i){var k=0;return 0!=h[j+1]&&k++,0!=h[j-1]&&k++,0!=h[j+i]&&k++,0!=h[j+i+1]&&k++,0!=h[j+i-1]&&k++,0!=h[j-i]&&k++,0!=h[j-i+1]&&k++,0!=h[j-i-1]&&k++,k},c=function(l,m,i,k,j){var h,n;if(i>0)for(m-=k*j,n=-j;n<=j;++n){for(h=-j;h<=j;++h)if(l[m+h]>i)return!1;m+=k}else for(m-=k*j,n=-j;n<=j;++n){for(h=-j;h<=j;++h)if(l[m+h]<i)return!1;m+=k}return!0},e=function(s,r,m,u,p,i,l,n){var k=0,q=0,o=l-1|0,j=0,w=0,v=0,t=0,h=0;if((j=s[r+i[q]])<=p)if(j>=u)if((w=s[r+i[o]])<=p){if(w>=u)return 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void(m[r]=0);if(v=t,o++,(t=s[r+i[o]])<u){k-=j+v,h=2;break}if(t>p){k-=j+v,h=7;break}return void(m[r]=0);case 5:if(j<u)return void(m[r]=0);if(j>p){if(v=t,o++,(t=s[r+i[o]])<u)return void(m[r]=0);k-=j+v,h=0;break}if(t<=p)return void(m[r]=0);if(v=t,o++,(t=s[r+i[o]])>p){k-=j+v,h=3;break}if(t<u){k-=j+v,h=6;break}return void(m[r]=0);case 7:if(j>p)return void(m[r]=0);if(j<u)return void(m[r]=0);if(v=t,o++,(t=s[r+i[o]])>p){k-=j+v,h=3;break}if(t<u){k-=j+v,h=6;break}return void(m[r]=0);case 6:if(j>p)return void(m[r]=0);if(j<u)return void(m[r]=0);if(v=t,o++,(t=s[r+i[o]])<u){k-=j+v,h=2;break}if(t>p){k-=j+v,h=7;break}return void(m[r]=0);case 8:if(j>p){if(t<u)return void(m[r]=0);if(v=t,o++,(t=s[r+i[o]])<u)return void(m[r]=0);k-=j+v,h=9;break}if(j<u){if(v=t,o++,(t=s[r+i[o]])>p)return void(m[r]=0);k-=j+v,h=1;break}return void(m[r]=0);case 9:if(j<u){if(t>p)return void(m[r]=0);if(v=t,o++,(t=s[r+i[o]])>p)return void(m[r]=0);k-=j+v,h=8;break}if(j>p){if(v=t,o++,(t=s[r+i[o]])<u)return void(m[r]=0);k-=j+v,h=0;break}return void(m[r]=0)}m[r]=k+n*s[r]},f=function(){return function(i,j,k){this.dirs=new Int32Array(1024),this.dirs_count=0|d(i,this.dirs,k),this.scores=new Int32Array(i*j),this.radius=0|k}}();return{level_tables:[],tau:7,init:function(m,j,h,l){void 0===l&&(l=1);var k;for(h=Math.min(h,7),h=Math.max(h,3),k=0;k<l;++k)this.level_tables[k]=new f(m>>k,j>>k,h)},detect:function(k,J,G){void 0===G&&(G=4);var E,A=this.level_tables[0],i=0|A.radius,q=i-1|0,m=A.dirs,n=0|A.dirs_count,v=n>>1,O=k.data,u=0|k.cols,K=0|k.rows,N=u>>1,H=A.scores,s=0,r=0,j=0,l=0,o=0,p=0,z=0,I=0,F=0|this.tau,D=0,C=0|Math.max(i+1,G),B=0|Math.max(i+1,G),M=0|Math.min(u-i-2,u-G),L=0|Math.min(K-i-2,K-G);for(j=B*u+C|0,r=B;r<L;++r,j+=u)for(s=C,l=j;s<M;++s,++l)o=O[l]+F,(p=O[l]-F)<O[l+i]&&O[l+i]<o&&p<O[l-i]&&O[l-i]<o?H[l]=0:e(O,l,H,p,o,m,v,n);for(j=B*u+C|0,r=B;r<L;++r,j+=u)for(s=C,l=j;s<M;++s,++l)I=H[l],(z=Math.abs(I))<5?(++s,++l):g(H,l,u)>=3&&c(H,l,I,N,i)&&((E=J[D]).x=s,E.y=r,E.score=z,++D,s+=q,l+=q);return 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jsfeat.matrix_t(3,3,jsfeat.F32_t|jsfeat.C1_t),f=new jsfeat.matrix_t(32,32,jsfeat.U8_t|jsfeat.C1_t),e=function(l,n,k,i,h,j){var m=Math.cos(k),g=Math.sin(k);c.data[0]=m,c.data[1]=-g,c.data[2]=(-m+g)*j*.5+i,c.data[3]=g,c.data[4]=m,c.data[5]=(-g-m)*j*.5+h,jsfeat.imgproc.warp_affine(l,n,c,128)};return{describe:function(j,u,g,B){var x=0,A=0,q=0,p=0,z=0,o=0,m=0,D=0,t=(j.data,j.cols,j.rows,f.data),v=528,k=0;B.type&jsfeat.U8_t?B.resize(32,g,1):(B.type=jsfeat.U8_t,B.cols=32,B.rows=g,B.channel=1,B.allocate());var l=B.data,s=0;for(x=0;x<g;++x){for(q=u[x].x,p=u[x].y,z=u[x].angle,e(j,f,z,q,p,32),k=0,A=0;A<32;++A)D=(o=t[v+32*d[k+1]+d[k]])<(m=t[v+32*d[(k+=2)+1]+d[k]])|0,D|=((o=t[v+32*d[(k+=2)+1]+d[k]])<(m=t[v+32*d[(k+=2)+1]+d[k]]))<<1,D|=((o=t[v+32*d[(k+=2)+1]+d[k]])<(m=t[v+32*d[(k+=2)+1]+d[k]]))<<2,D|=((o=t[v+32*d[(k+=2)+1]+d[k]])<(m=t[v+32*d[(k+=2)+1]+d[k]]))<<3,D|=((o=t[v+32*d[(k+=2)+1]+d[k]])<(m=t[v+32*d[(k+=2)+1]+d[k]]))<<4,D|=((o=t[v+32*d[(k+=2)+1]+d[k]])<(m=t[v+32*d[(k+=2)+1]+d[k]]))<<5,D|=((o=t[v+32*d[(k+=2)+1]+d[k]])<(m=t[v+32*d[(k+=2)+1]+d[k]]))<<6,o=t[v+32*d[(k+=2)+1]+d[k]],m=t[v+32*d[(k+=2)+1]+d[k]],k+=2,D|=(o<m)<<7,l[s+A]=D;s+=32}}}}();b.orb=a}(jsfeat),function(b){var a=function(){var c=jsfeat.imgproc.scharr_derivatives;return{track:function(n,u,ap,aL,k,N,R,K,f,q){void 0===R&&(R=30),void 0===K&&(K=new Uint8Array(k)),void 0===f&&(f=.01),void 0===q&&(q=1e-4);var e=.5*(N-1),h=N*N|0,aa=h<<1,r=n.data,S=u.data,g=r[0].data,F=S[0].data,M=r[0].cols,aB=r[0].rows,ay=0,aH=0,az=jsfeat.cache.get_buffer(h<<2),s=jsfeat.cache.get_buffer(aa<<2),t=jsfeat.cache.get_buffer(aB*(M<<1)<<2),V=new jsfeat.matrix_t(M,aB,jsfeat.S32C2_t,t.data),w=az.i32,ac=s.i32,aA=t.i32,ab=0,I=0,aM=0,at=0,aI=0,au=0,am=0,aF=0,aD=0,af=0,ae=0,E=0,z=0,Y=0,W=0,p=0,o=0,aE=0,aC=0,Q=0,P=0,J=0,H=0,ai=0,ak=0,l=0,A=0,O=0,U=0,T=0,aw=0,av=0,ad=16384,X=1/(1<<20),aK=0,aJ=0,ar=0,aq=0,al=0,v=0,B=0,ao=0,an=0,ag=0,aj=0;for(f*=f;Q<k;++Q)K[Q]=1;var L=n.levels-1|0;for(ai=L;ai>=0;--ai)for(am=1/(1<<ai),aH=aB>>ai,ab=(ay=M>>ai)<<1,g=r[ai].data,F=S[ai].data,A=ay-N|0,O=aH-N|0,c(r[ai],V),ak=0;ak<k;++ak)if(Q=ak<<1,P=Q+1,aF=ap[Q]*am,aD=ap[P]*am,ai==L?(af=aF,ae=aD):(af=2*aL[Q],ae=2*aL[P]),aL[Q]=af,aL[P]=ae,aF-=e,aD-=e,p=0|aF,o=0|aD,0==(J=p<=0|p>=A|o<=0|o>=O)){for(aq=ad-(aK=(1-(U=aF-p))*(1-(T=aD-o))*ad+.5|0)-(aJ=U*(1-T)*ad+.5|0)-(ar=(1-U)*T*ad+.5|0),ao=0,an=0,ag=0,H=0;H<N;++H)for(aM=(I=(H+o)*ay+p|0)<<1,aI=(at=H*N|0)<<1,J=0;J<N;++J,++I,++at,aM+=2)al=(al=g[I]*aK+g[I+1]*aJ+g[I+ay]*ar+g[I+ay+1]*aq)+256>>9,v=(v=aA[aM]*aK+aA[aM+2]*aJ+aA[aM+ab]*ar+aA[aM+ab+2]*aq)+8192>>14,B=(B=aA[aM+1]*aK+aA[aM+3]*aJ+aA[aM+ab+1]*ar+aA[aM+ab+3]*aq)+8192>>14,w[at]=al,ac[aI++]=v,ac[aI++]=B,ao+=v*v,an+=v*B,ag+=B*B;if(ao*=X,an*=X,ag*=X,aj=ao*ag-an*an,(ag+ao-Math.sqrt((ao-ag)*(ao-ag)+4*an*an))/aa<q||aj<1.1920929e-7)0==ai&&(K[ak]=0);else for(aj=1/aj,af-=e,ae-=e,E=0,z=0,l=0;l<R;++l){if(aE=0|af,aC=0|ae,0!=(J=aE<=0|aE>=A|aC<=0|aC>=O)){0==ai&&(K[ak]=0);break}for(aq=ad-(aK=(1-(U=af-aE))*(1-(T=ae-aC))*ad+.5|0)-(aJ=U*(1-T)*ad+.5|0)-(ar=(1-U)*T*ad+.5|0),aw=0,av=0,H=0;H<N;++H)for(au=(H+aC)*ay+aE|0,aI=(at=H*N|0)<<1,J=0;J<N;++J,++au,++at)al=(al=F[au]*aK+F[au+1]*aJ+F[au+ay]*ar+F[au+ay+1]*aq)+256>>9,aw+=(al-=w[at])*ac[aI++],av+=al*ac[aI++];if(aw*=X,av*=X,Y=(an*av-ag*aw)*aj,W=(an*aw-ao*av)*aj,af+=Y,ae+=W,aL[Q]=af+e,aL[P]=ae+e,Y*Y+W*W<=f)break;if(l>0&&Math.abs(Y+E)<.01&&Math.abs(W+z)<.01){aL[Q]-=.5*Y,aL[P]-=.5*W;break}E=Y,z=W}}else 0==ai&&(K[ak]=0);jsfeat.cache.put_buffer(az),jsfeat.cache.put_buffer(s),jsfeat.cache.put_buffer(t)}}}();b.optical_flow_lk=a}(jsfeat),function(b){var a=function(){var c=function(e,d){var f=.25*e.width+.5|0;return d.x<=e.x+f&&d.x>=e.x-f&&d.y<=e.y+f&&d.y>=e.y-f&&d.width<=1.5*e.width+.5|0&&1.5*d.width+.5|0>=e.width};return{edges_density:.07,detect_single_scale:function(E,ad,af,q,d,f,D,B){var Z,X,W,Q,O,p,r,S,t,o,l,u,s,ae,A,L,h,n,G,m,M,K,J,v,C,z=B.size[0]*D|0,N=B.size[1]*D|0,V=.5*D+1.5|0,U=V,T=d-z|0,R=f-N|0,H=d+1|0,e=1/(z*N),g=!0,ac=0,ab=z,aa=N*H,Y=aa+z,F=z*N*255*this.edges_density|0,P=[];for(O=0;O<R;O+=U)for(ac=O*H,Q=0;Q<T;Q+=V,ac+=V)if(p=E[ac]-E[ac+ab]-E[ac+aa]+E[ac+Y],q&&(q[ac]-q[ac+ab]-q[ac+aa]+q[ac+Y]<F||p<20))Q+=V,ac+=V;else{for(p*=e,S=(r=(ad[ac]-ad[ac+ab]-ad[ac+aa]+ad[ac+Y])*e-p*p)>0?Math.sqrt(r):1,s=(t=B.complexClassifiers).length,g=!0,Z=0;Z<s;++Z){for(L=(o=t[Z]).threshold,ae=(l=o.simpleClassifiers).length,h=0,X=0;X<ae;++X){if(u=l[X],n=0,m=u.features,A=m.length,1===u.tilted)for(W=0;W<A;++W)M=~~(Q+(G=m[W])[0]*D)+~~(O+G[1]*D)*H,K=(v=~~(G[2]*D))*H,J=(C=~~(G[3]*D))*H,n+=(af[M]-af[M+v+K]-af[M-C+J]+af[M+v-C+K+J])*G[4];else for(W=0;W<A;++W)M=~~(Q+(G=m[W])[0]*D)+~~(O+G[1]*D)*H,v=~~(G[2]*D),J=(C=~~(G[3]*D))*H,n+=(E[M]-E[M+v]-E[M+J]+E[M+J+v])*G[4];h+=n*e<u.threshold*S?u.left_val:u.right_val}if(h<L){g=!1;break}}g&&(P.push({x:Q,y:O,width:z,height:N,neighbor:1,confidence:h}),Q+=V,ac+=V)}return P},detect_multi_scale:function(e,m,f,h,d,n,i,g,k){void 0===g&&(g=1.2),void 0===k&&(k=1);for(var o=i.size[0],j=i.size[1],l=[];k*o<d&&k*j<n;)l=l.concat(this.detect_single_scale(e,m,f,h,d,n,k,i)),k*=g;return l},group_rectangles:function(g,l){void 0===l&&(l=1);var y,v,q=g.length,r=[];for(y=0;y<q;++y)r[y]={parent:-1,element:g[y],rank:0};for(y=0;y<q;++y)if(r[y].element){for(var t=y;-1!=r[t].parent;)t=r[t].parent;for(v=0;v<q;++v)if(y!=v&&r[v].element&&c(r[y].element,r[v].element)){for(var s=v;-1!=r[s].parent;)s=r[s].parent;if(s!=t){r[t].rank>r[s].rank?r[s].parent=t:(r[t].parent=s,r[t].rank==r[s].rank&&r[s].rank++,t=s);for(var A,d=v;-1!=r[d].parent;)A=d,d=r[d].parent,r[A].parent=t;for(d=y;-1!=r[d].parent;)A=d,d=r[d].parent,r[A].parent=t}}}var w=[],o=0;for(y=0;y<q;y++){v=-1;var e=y;if(r[e].element){for(;-1!=r[e].parent;)e=r[e].parent;r[e].rank>=0&&(r[e].rank=~o++),v=~r[e].rank}w[y]=v}var m=[];for(y=0;y<o+1;++y)m[y]={neighbors:0,x:0,y:0,width:0,height:0,confidence:0};for(y=0;y<q;++y){var z=g[y],k=w[y];0==m[k].neighbors&&(m[k].confidence=z.confidence),++m[k].neighbors,m[k].x+=z.x,m[k].y+=z.y,m[k].width+=z.width,m[k].height+=z.height,m[k].confidence=Math.max(m[k].confidence,z.confidence)}var h=[];for(y=0;y<o;++y)(q=m[y].neighbors)>=l&&h.push({x:(2*m[y].x+q)/(2*q),y:(2*m[y].y+q)/(2*q),width:(2*m[y].width+q)/(2*q),height:(2*m[y].height+q)/(2*q),neighbors:m[y].neighbors,confidence:m[y].confidence});var p=[];for(q=h.length,y=0;y<q;++y){var z=h[y],x=!0;for(v=0;v<q;++v){var u=h[v],f=.25*u.width+.5|0;if(y!=v&&z.x>=u.x-f&&z.y>=u.y-f&&z.x+z.width<=u.x+u.width+f&&z.y+z.height<=u.y+u.height+f&&(u.neighbors>Math.max(3,z.neighbors)||z.neighbors<3)){x=!1;break}}x&&p.push(z)}return p}}}();b.haar=a}(jsfeat),function(a){var b=function(){var c=function(f,e){var g=.25*f.width+.5|0;return e.x<=f.x+g&&e.x>=f.x-g&&e.y<=f.y+g&&e.y>=f.y-g&&e.width<=1.5*f.width+.5|0&&1.5*e.width+.5|0>=f.width},d=new jsfeat.pyramid_t(1);return{interval:4,scale:1.1486,next:5,scale_to:1,prepare_cascade:function(g){for(var m=g.stage_classifier.length,h=0;h<m;h++)for(var l=g.stage_classifier[h].feature,e=g.stage_classifier[h].count,i=g.stage_classifier[h]._feature=new Array(e),f=0;f<e;f++)i[f]={size:l[f].size,px:new Array(l[f].size),pz:new Array(l[f].size),nx:new Array(l[f].size),nz:new Array(l[f].size)}},build_pyramid:function(e,k,s,f){void 0===f&&(f=4);var 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0===params.equalizeHistogram&&(params.equalizeHistogram=!1),void 0===params.min_neighbors&&(params.min_neighbors=2),void 0===params.confidenceThreshold&&(params.confidenceThreshold=106.1),void 0===params.useWebWorkers&&(params.useWebWorkers=!0),window.Worker||(params.useWebWorkers=!1);var msxmin,msymin,msymax,msmodelheight,element,mossef_lefteye,mossef_righteye,mossef_nose,model=pdmModel,mosseFilter=mosse.mosseFilter,left_eye_filter=mosse.filters.left_eye_filter,right_eye_filter=mosse.filters.right_eye_filter,nose_filter=mosse.filters.nose_filter,right_eye_position=[0,0],left_eye_position=[0,0],nose_position=[0,0];model.hints&&mosseFilter&&left_eye_filter&&right_eye_filter&&nose_filter?((mossef_lefteye=new mosseFilter).load(left_eye_filter),(mossef_righteye=new mosseFilter).load(right_eye_filter),(mossef_nose=new mosseFilter).load(nose_filter)):console.log("MOSSE filters not found, using rough approximation for initialization.");var meanShape=model.shapeModel.meanShape,numPatches=model.patchModel.numPatches;msymax=0,msxmin=msymin=1e6;for(var i=0;i<numPatches;i++)meanShape[i][0]<msxmin&&(msxmin=meanShape[i][0]),meanShape[i][1]<msymin&&(msymin=meanShape[i][1]),meanShape[i][1]>msymax&&(msymax=meanShape[i][1]);msmodelheight=msymax-msymin;var jf=new jsfeat_face(params);this.init=function(video){element=video,jf.init(element)};var getBoundingBox=function(box){return new Promise(function(resolve,reject){resolve(box?{x:box[0],y:box[1],width:box[2],height:box[3]}:jf.findFace())})},getFinegrainedPosition=function(candidate){var translateX,translateY,scaling,rotation,x=candidate.x,y=candidate.y,w=candidate.width,h=candidate.height;if(model.hints&&mosseFilter&&left_eye_filter&&right_eye_filter&&nose_filter){var noseFilterWidth=4.5*w/10,eyeFilterWidth=6*w/10,nose_result=mossef_nose.track(element,Math.round(x+w/2-noseFilterWidth/2),Math.round(y+h*(5/8)-noseFilterWidth/2),noseFilterWidth,noseFilterWidth,!1),right_result=mossef_righteye.track(element,Math.round(x+3*w/4-eyeFilterWidth/2),Math.round(y+.4*h-eyeFilterWidth/2),eyeFilterWidth,eyeFilterWidth,!1),left_result=mossef_lefteye.track(element,Math.round(x+w/4-eyeFilterWidth/2),Math.round(y+.4*h-eyeFilterWidth/2),eyeFilterWidth,eyeFilterWidth,!1);right_eye_position[0]=Math.round(x+3*w/4-eyeFilterWidth/2)+right_result[0],right_eye_position[1]=Math.round(y+.4*h-eyeFilterWidth/2)+right_result[1],left_eye_position[0]=Math.round(x+w/4-eyeFilterWidth/2)+left_result[0],left_eye_position[1]=Math.round(y+.4*h-eyeFilterWidth/2)+left_result[1],nose_position[0]=Math.round(x+w/2-noseFilterWidth/2)+nose_result[0],nose_position[1]=Math.round(y+h*(5/8)-noseFilterWidth/2)+nose_result[1];var lep=model.hints.leftEye,rep=model.hints.rightEye,mep=model.hints.nose,procrustes_params=procrustes([left_eye_position,right_eye_position,nose_position],[lep,rep,mep]);translateX=procrustes_params[0],translateY=procrustes_params[1],scaling=procrustes_params[2],rotation=procrustes_params[3]}else rotation=0,translateX=x-msxmin*(scaling=w/msmodelheight)+.1*w,translateY=y-msymin*scaling+.25*h;return[scaling,rotation,translateX,translateY]};this.getInitialPosition=function(box){return new Promise(function(resolve,reject){getBoundingBox(box).then(getFinegrainedPosition).then(resolve).catch(reject)})}},jsfeat_face=function(parameters){var videoWidth,videoHeight,scale,video,w,h,img_u8,edg,ii_sum,ii_sqsum,ii_tilted,ii_canny,classifier,worker,params=parameters,maxWorkSize=params.workSize,useWebWorkers=params.useWebWorkers,work_canvas=document.createElement("canvas"),work_ctx=work_canvas.getContext("2d");useWebWorkers&&(Worker.createURL=function(func_or_string){var str="function"==typeof 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imageData=work_ctx.getImageData(0,0,work_canvas.width,work_canvas.height);return new Promise(function(resolve,reject){if(useWebWorkers)worker.addEventListener("message",function(e){e.data.faces.length>0?resolve(e.data.faces[0]):reject()}.bind(this),!1),worker.postMessage({w:work_canvas.width,h:work_canvas.height,videoWidth:videoWidth,imageData:imageData,params:params});else{jsfeat_1.imgproc.grayscale(imageData.data,work_canvas.width,work_canvas.height,img_u8),params.equalizeHistogram&&jsfeat_1.imgproc.equalize_histogram(img_u8,img_u8),jsfeat_1.imgproc.compute_integral_image(img_u8,ii_sum,ii_sqsum,classifier.tilted?ii_tilted:null),params.useCanny&&(jsfeat_1.imgproc.canny(img_u8,edg,10,50),jsfeat_1.imgproc.compute_integral_image(edg,ii_canny,null,null)),jsfeat_1.haar.edgesDensity=params.edgesDensity;for(var rects=jsfeat_1.haar.detect_multi_scale(ii_sum,ii_sqsum,ii_tilted,params.useCanny?ii_canny:null,img_u8.cols,img_u8.rows,classifier,params.scaleFactor,params.minScale),i=(rects=jsfeat_1.haar.group_rectangles(rects,params.min_neighbors)).length-1;i>=0;i--)rects[i].confidence<params.confidenceThreshold&&rects.splice(i,1);var rl=rects.length;if(0==rl)reject();else{for(var best=rects[0],i=1;i<rl;i++)rects[i].neighbors>best.neighbors?best=rects[i]:rects[i].neighbors==best.neighbors&&rects[i].confidence>best.confidence&&(best=rects[i]);var 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window!==window.top},setupWebGL=function(canvas,optAttribs){if(!window.WebGLRenderingContext)return null;var context=create3DContext(canvas,optAttribs);return context||null},create3DContext=function(canvas,optAttribs){for(var names=["webgl","experimental-webgl"],context=null,ii=0;ii<names.length;++ii){try{context=canvas.getContext(names[ii],optAttribs)}catch(e){}if(context)break}return context},updateCSSIfInIFrame=function(){isInIFrame()&&(document.body.className="iframe")},loadShader=function(gl,shaderSource,shaderType,optErrorCallback){var errFn=optErrorCallback||error,shader=gl.createShader(shaderType);return gl.shaderSource(shader,shaderSource),gl.compileShader(shader),gl.getShaderParameter(shader,gl.COMPILE_STATUS)?shader:(errFn("*** Error compiling shader '"+shader+"':"+gl.getShaderInfoLog(shader)),gl.deleteShader(shader),null)};module.exports={setupWebGL:setupWebGL,createProgram:function(gl,shaders,optAttribs,optLocations){for(var program=gl.createProgram(),i=0;i<shaders.length;++i)gl.attachShader(program,shaders[i]);if(optAttribs)for(i=0;i<optAttribs.length;++i)gl.bindAttribLocation(program,optLocations?optLocations[i]:i,optAttribs[i]);if(gl.linkProgram(program),!gl.getProgramParameter(program,gl.LINK_STATUS)){const lastError=gl.getProgramInfoLog(program);return error("Error in program linking:"+lastError),gl.deleteProgram(program),null}return program},createShaderFromScript:function(gl,scriptId,optShaderType,optErrorCallback){var shaderType,shaderSource="",shaderScript=document.getElementById(scriptId);if(!shaderScript)throw new Error("*** Error: unknown script element"+scriptId);if(shaderSource=shaderScript.text,!optShaderType)if("x-shader/x-vertex"===shaderScript.type)shaderType=gl.VERTEX_SHADER;else if("x-shader/x-fragment"===shaderScript.type)shaderType=gl.FRAGMENT_SHADER;else if(shaderType!==gl.VERTEX_SHADER&&shaderType!==gl.FRAGMENT_SHADER)throw new Error("*** Error: unknown shader type");return loadShader(gl,shaderSource,optShaderType||shaderType,optErrorCallback)},getWebGLContext:function(canvas){return isInIFrame()&&(updateCSSIfInIFrame(),canvas.width=canvas.clientWidth,canvas.height=canvas.clientHeight),setupWebGL(canvas)},loadShader:loadShader}}()}),webglUtils_1=webglUtils.setupWebGL,webglUtils_2=webglUtils.createProgram,webglUtils_5=webglUtils.loadShader,webglFilter=function(){var gl,canvas,filterWidth,filterHeight,patchWidth,patchHeight,numPatches,canvasWidth,canvasHeight,patchResponseProgram,patchDrawProgram,fbo,numBlocks,patchTex,drawRectBuffer,drawLayerBuffer,drawImageBuffer,rttTexture,texCoordBuffer,texCoordLocation,apositionBuffer,newCanvasWidth,newCanvasBlockHeight,newCanvasHeight,drawOutRectangles,drawOutImages,drawOutLayer,patchCells,textureWidth,textureHeight,patchSize,patchArray,biases,lbpResponseProgram,lbpTexCoordBuffer,lbpPositionLocation,lbpAPositionBuffer,gradientResponseProgram,gbo,gradTexCoordLocation,gradTexCoordBuffer,gradPositionLocation,gradAPositionBuffer,lbpResponseFS,gradientResponseFS,patchResponseVS,patchResponseFS,lbpInit=!1,sobelInit=!1,rawInit=!1,lbpResponseVS=["attribute vec2 a_texCoord;","attribute vec2 a_position;","","varying vec2 v_texCoord;","","void main() {","   // transform coordinates to regular coordinates","   gl_Position = vec4(a_position,0.0,1.0);"," ","   // pass the texCoord to the fragment shader","   v_texCoord = a_texCoord;","}"].join("\n"),gradientResponseVS=["attribute vec2 a_texCoord;","attribute vec2 a_position;","","varying vec2 v_texCoord;","","void main() {","   // transform coordinates to regular coordinates","   gl_Position = vec4(a_position,0.0,1.0);"," ","   // pass the texCoord to the fragment shader","   v_texCoord = a_texCoord;","}"].join("\n"),drawResponsesVS=["attribute vec2 a_texCoord_draw;","attribute vec2 a_position_draw;","attribute float a_patchChoice_draw;","","uniform vec2 u_resolutiondraw;","","varying vec2 v_texCoord;","varying float v_select;","","void main() {","   // convert the rectangle from pixels to 0.0 to 1.0","   vec2 zeroToOne = a_position_draw / u_resolutiondraw;","","   // convert from 0->1 to 0->2","   vec2 zeroToTwo = zeroToOne * 2.0;","","   // convert from 0->2 to -1->+1 (clipspace)","   vec2 clipSpace = zeroToTwo - 1.0;","   ","   // transform coordinates to regular coordinates","   gl_Position = vec4(clipSpace * vec2(1.0, 1.0), 0, 1);","","   // pass the texCoord to the fragment shader","   v_texCoord = a_texCoord_draw;","   ","   v_select = a_patchChoice_draw;","}"].join("\n"),drawResponsesFS=["precision mediump float;","","// our responses","uniform sampler2D u_responses;","","// the texCoords passed in from the vertex shader.","varying vec2 v_texCoord;","varying float v_select;","","const vec4 bit_shift = vec4(256.0*256.0*256.0, 256.0*256.0, 256.0, 1.0);","const vec4 bit_mask  = vec4(0.0, 1.0/256.0, 1.0/256.0, 1.0/256.0);","","// packing code from here http://stackoverflow.com/questions/9882716/packing-float-into-vec4-how-does-this-code-work","void main() {","  vec4 colorSum = texture2D(u_responses, v_texCoord);","  float value = 0.0;","  if (v_select < 0.1) {","    value = colorSum[0];","  } else if (v_select > 0.9 && v_select < 1.1) {","    value = colorSum[1];","  } else if (v_select > 1.9 && v_select < 2.1) {","    value = colorSum[2];","  } else if (v_select > 2.9 && v_select < 3.1) {","    value = colorSum[3];","  } else {","    value = 1.0;","  }","  ","  vec4 res = fract(value * bit_shift);","  res -= res.xxyz * bit_mask;","  ","  //gl_FragColor = vec4(value, value, value, value);","  //gl_FragColor = vec4(1.0, value, 1.0, 1.0);","  gl_FragColor = res;","}"].join("\n");this.init=function(filters,bias,nP,pW,pH,fW,fH){if(fW==fH)if(fW%2!=0&&fH%2!=0){biases=bias,filterWidth=fW,filterHeight=fH,patchWidth=pW,patchHeight=pH,numPatches=nP,numBlocks=Math.floor(numPatches/4)+Math.ceil(numPatches%4/4),canvasWidth=patchWidth,canvasHeight=patchHeight*numBlocks,newCanvasWidth=patchWidth-filterWidth+1,newCanvasHeight=(newCanvasBlockHeight=patchHeight-filterWidth+1)*numPatches,patchCells=Math.floor(numPatches/4)+Math.ceil(numPatches%4/4),textureWidth=patchWidth,textureHeight=patchHeight*patchCells,patchSize=patchWidth*patchHeight,patchArray=new Float32Array(patchSize*patchCells*4);var opp=[1/patchWidth,1/(patchHeight*numBlocks)];if(patchResponseFS=["precision mediump float;","","const vec2 u_onePixelPatches = vec2("+(1/patchWidth).toFixed(10)+","+(1/(patchHeight*numBlocks)).toFixed(10)+");","const vec2 u_onePixelFilters = vec2("+(1/filterWidth).toFixed(10)+","+(1/(filterHeight*numBlocks)).toFixed(10)+");","const float u_halffilterwidth = "+((filterWidth-1)/2).toFixed(1)+";","const float u_halffilterheight = "+((filterHeight-1)/2).toFixed(1)+";","","// our patches","uniform sampler2D u_patches;","// our filters","uniform sampler2D u_filters;","","// the texCoords passed in from the vertex shader.","varying vec2 v_texCoord;","varying vec2 v_texCoordFilters; // this should give us correct filter","","void main() {","  vec4 colorSum = vec4(0.0, 0.0, 0.0, 0.0);","  vec4 maxn = vec4(0.0, 0.0, 0.0, 0.0);","  vec4 minn = vec4(256.0, 256.0, 256.0, 256.0);","  vec4 scale = vec4(0.0, 0.0, 0.0, 0.0);","  vec4 patchValue = vec4(0.0, 0.0, 0.0, 0.0);","  vec4 filterValue = vec4(0.0, 0.0, 0.0, 0.0);","  vec4 filterTemp = vec4(0.0, 0.0, 0.0, 0.0);","  for (int w = 0;w < "+filterWidth+";w++) {","    for (int h = 0;h < "+filterHeight+";h++) {","      patchValue = texture2D(u_patches, v_texCoord + u_onePixelPatches * vec2(float(w)-u_halffilterwidth, float(h)-u_halffilterheight));","      filterValue = texture2D(u_filters, v_texCoordFilters + u_onePixelFilters * vec2(float(w)-u_halffilterwidth, float(h)-u_halffilterheight));","      maxn = max(patchValue, maxn);","      minn = min(patchValue, minn);","      colorSum += patchValue*filterValue;","      filterTemp += filterValue;","    } ","  }","  scale = maxn-minn;","  colorSum = (colorSum-(minn*filterTemp))/scale;","  // logistic transformation","  colorSum = 1.0/(1.0 + exp(- (colorSum) ));","  gl_FragColor = colorSum;","}"].join("\n"),patchResponseVS=["attribute vec2 a_texCoord;","attribute vec2 a_position;","","const vec2 u_resolution = vec2("+canvasWidth.toFixed(1)+","+canvasHeight.toFixed(1)+");","const float u_patchHeight = "+(1/numBlocks).toFixed(10)+";","const float u_filterHeight = "+(1/numBlocks).toFixed(10)+";","const vec2 u_midpoint = vec2(0.5 ,"+(1/(2*numBlocks)).toFixed(10)+");","","varying vec2 v_texCoord;","varying vec2 v_texCoordFilters;","","void main() {","   // convert the rectangle from pixels to 0.0 to 1.0","   vec2 zeroToOne = a_position / u_resolution;","","   // convert from 0->1 to 0->2","   vec2 zeroToTwo = zeroToOne * 2.0;","","   // convert from 0->2 to -1->+1 (clipspace)","   vec2 clipSpace = zeroToTwo - 1.0;","   ","   // transform coordinates to regular coordinates","   gl_Position = vec4(clipSpace * vec2(1.0, 1.0), 0, 1);"," ","   // pass the texCoord to the fragment shader","   v_texCoord = a_texCoord;","   ","   // set the filtertexture coordinate based on number filter to use","   v_texCoordFilters = u_midpoint + vec2(0.0, u_filterHeight * floor(a_texCoord[1]/u_patchHeight));","}"].join("\n"),"lbp"in filters&&(lbpResponseFS=["precision mediump float;","","uniform vec2 u_onePixelPatches;","","// our patches","uniform sampler2D u_patches;","","// the texCoords passed in from the vertex shader.","varying vec2 v_texCoord;","","void main() {","  vec4 topLeft = texture2D(u_patches, v_texCoord + vec2(-"+opp[0].toFixed(5)+", -"+opp[1].toFixed(5)+"));","  vec4 topMid = texture2D(u_patches, v_texCoord + vec2(0.0, -"+opp[1].toFixed(5)+"));","  vec4 topRight = texture2D(u_patches, v_texCoord + vec2("+opp[0].toFixed(5)+", -"+opp[1].toFixed(5)+"));","  vec4 midLeft = texture2D(u_patches, v_texCoord + vec2(-"+opp[0].toFixed(5)+", 0.0));","  vec4 midMid = texture2D(u_patches, v_texCoord);","  vec4 midRight = texture2D(u_patches, v_texCoord + vec2("+opp[0].toFixed(5)+", 0.0));","  vec4 bottomLeft = texture2D(u_patches, v_texCoord + vec2(-"+opp[0].toFixed(5)+", "+opp[1].toFixed(5)+"));","  vec4 bottomMid = texture2D(u_patches, v_texCoord + vec2(0.0, "+opp[1].toFixed(5)+"));","  vec4 bottomRight = texture2D(u_patches, v_texCoord + vec2("+opp[0].toFixed(5)+", "+opp[1].toFixed(5)+"));","  vec4 lbp = step(midMid, midRight)*1.0 + step(midMid, topRight)*2.0 + step(midMid, topMid)*4.0;","  lbp = lbp + step(midMid, topLeft)*8.0 + step(midMid, midLeft)*16.0 + step(midMid, bottomLeft)*32.0;","  lbp = lbp + step(midMid, bottomMid)*64.0 + step(midMid, bottomRight)*128.0;","  gl_FragColor = lbp;","}"].join("\n")),"sobel"in filters&&(gradientResponseFS=["precision mediump float;","","uniform vec2 u_onePixelPatches;","","// our patches","uniform sampler2D u_patches;","","// the texCoords passed in from the vertex shader.","varying vec2 v_texCoord;","","void main() {","  vec4 bottomLeft = texture2D(u_patches, v_texCoord + vec2(-"+opp[0].toFixed(5)+", "+opp[1].toFixed(5)+"));","  vec4 bottomRight = texture2D(u_patches, v_texCoord + vec2("+opp[0].toFixed(5)+", "+opp[1].toFixed(5)+"));","  vec4 topLeft = texture2D(u_patches, v_texCoord + vec2(-"+opp[0].toFixed(5)+", -"+opp[1].toFixed(5)+"));","  vec4 topRight = texture2D(u_patches, v_texCoord + vec2("+opp[0].toFixed(5)+", -"+opp[1].toFixed(5)+"));","  vec4 dx = (","    bottomLeft +","    (texture2D(u_patches, v_texCoord + vec2(-"+opp[0].toFixed(5)+", 0.0))*vec4(2.0,2.0,2.0,2.0)) +","    topLeft -","    bottomRight -","    (texture2D(u_patches, v_texCoord + vec2("+opp[0].toFixed(5)+", 0.0))*vec4(2.0,2.0,2.0,2.0)) -","    topRight)/4.0;","  vec4 dy = (","    bottomLeft +","    (texture2D(u_patches, v_texCoord + vec2(0.0, "+opp[1].toFixed(5)+"))*vec4(2.0,2.0,2.0,2.0)) +","    bottomRight -","    topLeft -","    (texture2D(u_patches, v_texCoord + vec2(0.0, -"+opp[1].toFixed(5)+"))*vec4(2.0,2.0,2.0,2.0)) -","    topRight)/4.0;","  vec4 gradient = sqrt((dx*dx) + (dy*dy));","  gl_FragColor = gradient;","}"].join("\n")),(canvas=document.createElement("canvas")).setAttribute("width",patchWidth-filterWidth+1+"px"),canvas.setAttribute("height",(patchHeight-filterHeight+1)*numPatches+"px"),canvas.setAttribute("id","renderCanvas"),canvas.setAttribute("style","display:none;"),(gl=webglUtils_1(canvas,{premultipliedAlpha:!1,preserveDrawingBuffer:!0,antialias:!1})).getExtension("OES_texture_float")){"raw"in filters&&(insertFilter(filters.raw,gl.TEXTURE0),rawInit=!0),"sobel"in filters&&(insertFilter(filters.sobel,gl.TEXTURE4),sobelInit=!0),"lbp"in filters&&(insertFilter(filters.lbp,gl.TEXTURE5),lbpInit=!0);for(var rectangles=[],halfFilter=(filterWidth-1)/2,i=0;i<numBlocks;i++)yOffset=i*patchHeight,rectangles=(rectangles=rectangles.concat([halfFilter,yOffset+halfFilter,patchWidth-halfFilter,yOffset+halfFilter,halfFilter,yOffset+patchHeight-halfFilter])).concat([halfFilter,yOffset+patchHeight-halfFilter,patchWidth-halfFilter,yOffset+halfFilter,patchWidth-halfFilter,yOffset+patchHeight-halfFilter]);rectangles=new Float32Array(rectangles);for(var irectangles=[],i=0;i<rectangles.length;i++)irectangles[i]=i%2==0?rectangles[i]/canvasWidth:rectangles[i]/canvasHeight;if(irectangles=new Float32Array(irectangles),"lbp"in filters||"sobel"in filters){for(var topCoord=1-2/(patchHeight*numBlocks),bottomCoord=1-2/numBlocks+2/(patchHeight*numBlocks),gradRectangles=[],i=0;i<numBlocks;i++)yOffset=i*(2/numBlocks),gradRectangles=(gradRectangles=gradRectangles.concat([-1,topCoord-yOffset,1,topCoord-yOffset,-1,bottomCoord-yOffset])).concat([-1,bottomCoord-yOffset,1,topCoord-yOffset,1,bottomCoord-yOffset]);gradRectangles=new Float32Array(gradRectangles),topCoord=1-1/(patchHeight*numBlocks),bottomCoord=1-1/numBlocks+1/(patchHeight*numBlocks);for(var gradIRectangles=[],i=0;i<numBlocks;i++)yOffset=i*(1/numBlocks),gradIRectangles=(gradIRectangles=gradIRectangles.concat([0,topCoord-yOffset,1,topCoord-yOffset,0,bottomCoord-yOffset])).concat([0,bottomCoord-yOffset,1,topCoord-yOffset,1,bottomCoord-yOffset]);gradIRectangles=new Float32Array(gradIRectangles)}drawOutRectangles=new Float32Array(12*numPatches);for(var yOffset,indexOffset,i=0;i<numPatches;i++)yOffset=i*newCanvasBlockHeight,drawOutRectangles[indexOffset=12*i]=0,drawOutRectangles[indexOffset+1]=yOffset,drawOutRectangles[indexOffset+2]=newCanvasWidth,drawOutRectangles[indexOffset+3]=yOffset,drawOutRectangles[indexOffset+4]=0,drawOutRectangles[indexOffset+5]=yOffset+newCanvasBlockHeight,drawOutRectangles[indexOffset+6]=0,drawOutRectangles[indexOffset+7]=yOffset+newCanvasBlockHeight,drawOutRectangles[indexOffset+8]=newCanvasWidth,drawOutRectangles[indexOffset+9]=yOffset,drawOutRectangles[indexOffset+10]=newCanvasWidth,drawOutRectangles[indexOffset+11]=yOffset+newCanvasBlockHeight;drawOutImages=new Float32Array(12*numPatches);for(var halfFilterWidth=(filterWidth-1)/2/patchWidth,halfFilterHeight=(filterWidth-1)/2/(patchHeight*patchCells),patchHeightT=patchHeight/(patchHeight*patchCells),i=0;i<numPatches;i++)yOffset=Math.floor(i/4)*patchHeightT,drawOutImages[indexOffset=12*i]=halfFilterWidth,drawOutImages[indexOffset+1]=yOffset+halfFilterHeight,drawOutImages[indexOffset+2]=1-halfFilterWidth,drawOutImages[indexOffset+3]=yOffset+halfFilterHeight,drawOutImages[indexOffset+4]=halfFilterWidth,drawOutImages[indexOffset+5]=yOffset+patchHeightT-halfFilterHeight,drawOutImages[indexOffset+6]=halfFilterWidth,drawOutImages[indexOffset+7]=yOffset+patchHeightT-halfFilterHeight,drawOutImages[indexOffset+8]=1-halfFilterWidth,drawOutImages[indexOffset+9]=yOffset+halfFilterHeight,drawOutImages[indexOffset+10]=1-halfFilterWidth,drawOutImages[indexOffset+11]=yOffset+patchHeightT-halfFilterHeight;drawOutLayer=new Float32Array(6*numPatches);for(var layernum,i=0;i<numPatches;i++)layernum=i%4,drawOutLayer[indexOffset=6*i]=layernum,drawOutLayer[indexOffset+1]=layernum,drawOutLayer[indexOffset+2]=layernum,drawOutLayer[indexOffset+3]=layernum,drawOutLayer[indexOffset+4]=layernum,drawOutLayer[indexOffset+5]=layernum;if("sobel"in filters){var grVertexShader=webglUtils_5(gl,gradientResponseVS,gl.VERTEX_SHADER),grFragmentShader=webglUtils_5(gl,gradientResponseFS,gl.FRAGMENT_SHADER);gradientResponseProgram=webglUtils_2(gl,[grVertexShader,grFragmentShader]),gl.useProgram(gradientResponseProgram),gradPositionLocation=gl.getAttribLocation(gradientResponseProgram,"a_position"),gradAPositionBuffer=gl.createBuffer(),gl.bindBuffer(gl.ARRAY_BUFFER,gradAPositionBuffer),gl.bufferData(gl.ARRAY_BUFFER,gradRectangles,gl.STATIC_DRAW),gl.enableVertexAttribArray(gradPositionLocation),gl.vertexAttribPointer(gradPositionLocation,2,gl.FLOAT,!1,0,0),gradTexCoordLocation=gl.getAttribLocation(gradientResponseProgram,"a_texCoord"),gradTexCoordBuffer=gl.createBuffer(),gl.bindBuffer(gl.ARRAY_BUFFER,gradTexCoordBuffer),gl.bufferData(gl.ARRAY_BUFFER,gradIRectangles,gl.STATIC_DRAW),gl.enableVertexAttribArray(gradTexCoordLocation),gl.vertexAttribPointer(gradTexCoordLocation,2,gl.FLOAT,!1,0,0),gl.uniform1i(gl.getUniformLocation(gradientResponseProgram,"u_patches"),1)}if("lbp"in filters){var lbpVertexShader=webglUtils_5(gl,lbpResponseVS,gl.VERTEX_SHADER),lbpFragmentShader=webglUtils_5(gl,lbpResponseFS,gl.FRAGMENT_SHADER);lbpResponseProgram=webglUtils_2(gl,[lbpVertexShader,lbpFragmentShader]),gl.useProgram(lbpResponseProgram),lbpPositionLocation=gl.getAttribLocation(lbpResponseProgram,"a_position"),lbpAPositionBuffer=gl.createBuffer(),gl.bindBuffer(gl.ARRAY_BUFFER,lbpAPositionBuffer),gl.bufferData(gl.ARRAY_BUFFER,gradRectangles,gl.STATIC_DRAW),gl.enableVertexAttribArray(lbpPositionLocation),gl.vertexAttribPointer(lbpPositionLocation,2,gl.FLOAT,!1,0,0),gradTexCoordLocation=gl.getAttribLocation(lbpResponseProgram,"a_texCoord"),lbpTexCoordBuffer=gl.createBuffer(),gl.bindBuffer(gl.ARRAY_BUFFER,lbpTexCoordBuffer),gl.bufferData(gl.ARRAY_BUFFER,gradIRectangles,gl.STATIC_DRAW),gl.enableVertexAttribArray(void 0),gl.vertexAttribPointer(void 0,2,gl.FLOAT,!1,0,0),gl.uniform1i(gl.getUniformLocation(lbpResponseProgram,"u_patches"),1)}var drVertexShader=webglUtils_5(gl,drawResponsesVS,gl.VERTEX_SHADER),drFragmentShader=webglUtils_5(gl,drawResponsesFS,gl.FRAGMENT_SHADER);patchDrawProgram=webglUtils_2(gl,[drVertexShader,drFragmentShader]),gl.useProgram(patchDrawProgram);var resolutionLocation=gl.getUniformLocation(patchDrawProgram,"u_resolutiondraw");gl.uniform2f(resolutionLocation,newCanvasWidth,newCanvasHeight);var responsesLocation=gl.getUniformLocation(patchDrawProgram,"u_responses");gl.uniform1i(responsesLocation,2);var prVertexShader=webglUtils_5(gl,patchResponseVS,gl.VERTEX_SHADER),prFragmentShader=webglUtils_5(gl,patchResponseFS,gl.FRAGMENT_SHADER);patchResponseProgram=webglUtils_2(gl,[prVertexShader,prFragmentShader]),gl.useProgram(patchResponseProgram);var positionLocation=gl.getAttribLocation(patchResponseProgram,"a_position");if(apositionBuffer=gl.createBuffer(),gl.bindBuffer(gl.ARRAY_BUFFER,apositionBuffer),gl.bufferData(gl.ARRAY_BUFFER,rectangles,gl.STATIC_DRAW),gl.enableVertexAttribArray(positionLocation),gl.vertexAttribPointer(positionLocation,2,gl.FLOAT,!1,0,0),texCoordLocation=gl.getAttribLocation(patchResponseProgram,"a_texCoord"),texCoordBuffer=gl.createBuffer(),gl.bindBuffer(gl.ARRAY_BUFFER,texCoordBuffer),gl.bufferData(gl.ARRAY_BUFFER,irectangles,gl.STATIC_DRAW),gl.enableVertexAttribArray(texCoordLocation),gl.vertexAttribPointer(texCoordLocation,2,gl.FLOAT,!1,0,0),"lbp"in filters||"sobel"in filters){gl.activeTexture(gl.TEXTURE3);var gradients=gl.createTexture();gl.bindTexture(gl.TEXTURE_2D,gradients),gl.texImage2D(gl.TEXTURE_2D,0,gl.RGBA,patchWidth,patchHeight*numBlocks,0,gl.RGBA,gl.FLOAT,null),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_S,gl.CLAMP_TO_EDGE),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_T,gl.CLAMP_TO_EDGE),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MIN_FILTER,gl.NEAREST),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MAG_FILTER,gl.NEAREST),gbo=gl.createFramebuffer(),gl.bindFramebuffer(gl.FRAMEBUFFER,gbo),gl.framebufferTexture2D(gl.FRAMEBUFFER,gl.COLOR_ATTACHMENT0,gl.TEXTURE_2D,gradients,0)}gl.activeTexture(gl.TEXTURE2),rttTexture=gl.createTexture(),gl.bindTexture(gl.TEXTURE_2D,rttTexture),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_S,gl.CLAMP_TO_EDGE),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_T,gl.CLAMP_TO_EDGE),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MIN_FILTER,gl.NEAREST),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MAG_FILTER,gl.NEAREST),gl.texImage2D(gl.TEXTURE_2D,0,gl.RGBA,patchWidth,patchHeight*numBlocks,0,gl.RGBA,gl.FLOAT,null),fbo=gl.createFramebuffer(),gl.bindFramebuffer(gl.FRAMEBUFFER,fbo),gl.framebufferTexture2D(gl.FRAMEBUFFER,gl.COLOR_ATTACHMENT0,gl.TEXTURE_2D,rttTexture,0),gl.viewport(0,0,patchWidth,patchHeight*numBlocks),patchTex=gl.createTexture(),drawRectBuffer=gl.createBuffer(),drawImageBuffer=gl.createBuffer(),drawLayerBuffer=gl.createBuffer()}else alert("Your graphics card does not support floating point textures! :(")}else alert("filters used in svm must be of odd dimensions!");else alert("filter width and height must be same size!")},this.getRawResponses=function(patches){insertPatches(patches),gl.useProgram(patchResponseProgram),gl.uniform1i(gl.getUniformLocation(patchResponseProgram,"u_patches"),1),gl.uniform1i(gl.getUniformLocation(patchResponseProgram,"u_filters"),0);var positionLocation=gl.getAttribLocation(patchResponseProgram,"a_position");gl.bindBuffer(gl.ARRAY_BUFFER,apositionBuffer),gl.enableVertexAttribArray(positionLocation),gl.vertexAttribPointer(positionLocation,2,gl.FLOAT,!1,0,0);var texCoordLocation=gl.getAttribLocation(patchResponseProgram,"a_texCoord");return gl.bindBuffer(gl.ARRAY_BUFFER,texCoordBuffer),gl.enableVertexAttribArray(texCoordLocation),gl.vertexAttribPointer(texCoordLocation,2,gl.FLOAT,!1,0,0),gl.bindFramebuffer(gl.FRAMEBUFFER,fbo),gl.viewport(0,0,patchWidth,patchHeight*numBlocks),gl.clearColor(0,0,0,1),gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER),gl.drawArrays(gl.TRIANGLES,0,6*patchCells),drawOut("raw")},this.getSobelResponses=function(patches){if(sobelInit){insertPatches(patches),gl.useProgram(gradientResponseProgram);var gradPositionLocation=gl.getAttribLocation(gradientResponseProgram,"a_position");gl.bindBuffer(gl.ARRAY_BUFFER,gradAPositionBuffer),gl.enableVertexAttribArray(gradPositionLocation),gl.vertexAttribPointer(gradPositionLocation,2,gl.FLOAT,!1,0,0);var gradTexCoordLocation=gl.getAttribLocation(gradientResponseProgram,"a_texCoord");gl.bindBuffer(gl.ARRAY_BUFFER,gradTexCoordBuffer),gl.enableVertexAttribArray(gradTexCoordLocation),gl.vertexAttribPointer(gradTexCoordLocation,2,gl.FLOAT,!1,0,0),gl.bindFramebuffer(gl.FRAMEBUFFER,gbo),gl.viewport(0,0,patchWidth,patchHeight*numBlocks),gl.clearColor(0,0,0,1),gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER),gl.drawArrays(gl.TRIANGLES,0,6*patchCells),gl.useProgram(patchResponseProgram),gl.uniform1i(gl.getUniformLocation(patchResponseProgram,"u_filters"),4),gl.uniform1i(gl.getUniformLocation(patchResponseProgram,"u_patches"),3);var positionLocation=gl.getAttribLocation(patchResponseProgram,"a_position");gl.bindBuffer(gl.ARRAY_BUFFER,apositionBuffer),gl.enableVertexAttribArray(positionLocation),gl.vertexAttribPointer(positionLocation,2,gl.FLOAT,!1,0,0);var texCoordLocation=gl.getAttribLocation(patchResponseProgram,"a_texCoord");return gl.bindBuffer(gl.ARRAY_BUFFER,texCoordBuffer),gl.enableVertexAttribArray(texCoordLocation),gl.vertexAttribPointer(texCoordLocation,2,gl.FLOAT,!1,0,0),gl.bindFramebuffer(gl.FRAMEBUFFER,fbo),gl.viewport(0,0,patchWidth,patchHeight*numBlocks),gl.clearColor(0,0,0,1),gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER),gl.drawArrays(gl.TRIANGLES,0,6*patchCells),drawOut("sobel")}},this.getLBPResponses=function(patches){if(lbpInit){insertPatches(patches),gl.useProgram(lbpResponseProgram);var lbpPositionLocation=gl.getAttribLocation(lbpResponseProgram,"a_position");gl.bindBuffer(gl.ARRAY_BUFFER,lbpAPositionBuffer),gl.enableVertexAttribArray(lbpPositionLocation),gl.vertexAttribPointer(lbpPositionLocation,2,gl.FLOAT,!1,0,0);var lbpTexCoordLocation=gl.getAttribLocation(lbpResponseProgram,"a_texCoord");gl.bindBuffer(gl.ARRAY_BUFFER,lbpTexCoordBuffer),gl.enableVertexAttribArray(lbpTexCoordLocation),gl.vertexAttribPointer(lbpTexCoordLocation,2,gl.FLOAT,!1,0,0),gl.bindFramebuffer(gl.FRAMEBUFFER,gbo),gl.viewport(0,0,patchWidth,patchHeight*numBlocks),gl.clearColor(0,0,0,1),gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER),gl.drawArrays(gl.TRIANGLES,0,6*patchCells),gl.useProgram(patchResponseProgram),gl.uniform1i(gl.getUniformLocation(patchResponseProgram,"u_filters"),5),gl.uniform1i(gl.getUniformLocation(patchResponseProgram,"u_patches"),3);var positionLocation=gl.getAttribLocation(patchResponseProgram,"a_position");gl.bindBuffer(gl.ARRAY_BUFFER,apositionBuffer),gl.enableVertexAttribArray(positionLocation),gl.vertexAttribPointer(positionLocation,2,gl.FLOAT,!1,0,0);var texCoordLocation=gl.getAttribLocation(patchResponseProgram,"a_texCoord");return gl.bindBuffer(gl.ARRAY_BUFFER,texCoordBuffer),gl.enableVertexAttribArray(texCoordLocation),gl.vertexAttribPointer(texCoordLocation,2,gl.FLOAT,!1,0,0),gl.bindFramebuffer(gl.FRAMEBUFFER,fbo),gl.viewport(0,0,patchWidth,patchHeight*numBlocks),gl.clearColor(0,0,0,1),gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER),gl.drawArrays(gl.TRIANGLES,0,6*patchCells),drawOut("lbp")}};var insertPatches=function(patches){for(var patchArrayIndex=0,patchesIndex1=0,patchesIndex2=0,i=0;i<patchCells;i++)for(var j=0;j<patchHeight;j++)for(var k=0;k<patchWidth;k++)patchesIndex1=4*i,patchArray[patchArrayIndex=4*(patchSize*i+(patchesIndex2=j*patchWidth+k))]=patchesIndex1<numPatches?patches[patchesIndex1][patchesIndex2]:0,patchArray[patchArrayIndex+1]=patchesIndex1+1<numPatches?patches[patchesIndex1+1][patchesIndex2]:0,patchArray[patchArrayIndex+2]=patchesIndex1+2<numPatches?patches[patchesIndex1+2][patchesIndex2]:0,patchArray[patchArrayIndex+3]=patchesIndex1+3<numPatches?patches[patchesIndex1+3][patchesIndex2]:0;gl.activeTexture(gl.TEXTURE1),gl.bindTexture(gl.TEXTURE_2D,patchTex),gl.texImage2D(gl.TEXTURE_2D,0,gl.RGBA,textureWidth,textureHeight,0,gl.RGBA,gl.FLOAT,patchArray),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_S,gl.CLAMP_TO_EDGE),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_T,gl.CLAMP_TO_EDGE),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MIN_FILTER,gl.NEAREST),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MAG_FILTER,gl.NEAREST)},insertFilter=function(filter,textureNum){for(var filterSize=filterWidth*filterHeight,filterArray=new Float32Array(filterSize*numBlocks*4),i=0;i<numBlocks;i++)for(var j=0;j<filterHeight;j++)for(var k=0;k<filterWidth;k++)4*i<filter.length?filterArray[4*(filterSize*i+j*filterWidth+k)]=filter[4*i][j*filterWidth+k]:filterArray[4*(filterSize*i+j*filterWidth+k)]=0,4*i+1<filter.length?filterArray[4*(filterSize*i+j*filterWidth+k)+1]=filter[4*i+1][j*filterWidth+k]:filterArray[4*(filterSize*i+j*filterWidth+k)+1]=0,4*i+2<filter.length?filterArray[4*(filterSize*i+j*filterWidth+k)+2]=filter[4*i+2][j*filterWidth+k]:filterArray[4*(filterSize*i+j*filterWidth+k)+2]=0,4*i+3<filter.length?filterArray[4*(filterSize*i+j*filterWidth+k)+3]=filter[4*i+3][j*filterWidth+k]:filterArray[4*(filterSize*i+j*filterWidth+k)+3]=0;gl.activeTexture(textureNum);var filterTexture=gl.createTexture();gl.bindTexture(gl.TEXTURE_2D,filterTexture),gl.texImage2D(gl.TEXTURE_2D,0,gl.RGBA,filterWidth,filterHeight*numBlocks,0,gl.RGBA,gl.FLOAT,filterArray),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_S,gl.CLAMP_TO_EDGE),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_T,gl.CLAMP_TO_EDGE),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MIN_FILTER,gl.NEAREST),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MAG_FILTER,gl.NEAREST)},drawOut=function(type){gl.useProgram(patchDrawProgram),gl.bindFramebuffer(gl.FRAMEBUFFER,null),gl.viewport(0,0,newCanvasWidth,newCanvasHeight),gl.clearColor(0,0,0,1),gl.clear(gl.COLOR_BUFFER_BIT|gl.DEPTH_BUFFER),gl.bindBuffer(gl.ARRAY_BUFFER,drawRectBuffer),gl.bufferData(gl.ARRAY_BUFFER,drawOutRectangles,gl.STATIC_DRAW);var positionLocation=gl.getAttribLocation(patchDrawProgram,"a_position_draw");gl.enableVertexAttribArray(positionLocation),gl.vertexAttribPointer(positionLocation,2,gl.FLOAT,!1,0,0),gl.bindBuffer(gl.ARRAY_BUFFER,drawImageBuffer),gl.bufferData(gl.ARRAY_BUFFER,drawOutImages,gl.STATIC_DRAW);var textureLocation=gl.getAttribLocation(patchDrawProgram,"a_texCoord_draw");gl.enableVertexAttribArray(textureLocation),gl.vertexAttribPointer(textureLocation,2,gl.FLOAT,!1,0,0),gl.bindBuffer(gl.ARRAY_BUFFER,drawLayerBuffer),gl.bufferData(gl.ARRAY_BUFFER,drawOutLayer,gl.STATIC_DRAW);var layerLocation=gl.getAttribLocation(patchDrawProgram,"a_patchChoice_draw");gl.enableVertexAttribArray(layerLocation),gl.vertexAttribPointer(layerLocation,1,gl.FLOAT,!1,0,0),gl.drawArrays(gl.TRIANGLES,0,6*numPatches);var responses=getOutput();responses=unpackToFloat(responses),responses=splitArray(responses,numPatches);for(var rl=(responses=addBias(responses,biases[type])).length,i=0;i<rl;i++)responses[i]=normalizeFilterMatrix(responses[i]);return responses},addBias=function(responses,bias){for(var biasMult,i=0;i<responses.length;i++){biasMult=Math.exp(bias[i]);for(var j=0;j<responses[i].length;j++)responses[i][j]=1/(1+(1-responses[i][j])/(responses[i][j]*biasMult))}return responses},splitArray=function(array,parts){for(var sp=[],al=array.length,splitlength=al/parts,ta=[],i=0;i<al;i++)i%splitlength==0&&(0!=i&&sp.push(ta),ta=[]),ta.push(array[i]);return sp.push(ta),sp},getOutput=function(){var pixelValues=new Uint8Array(4*canvas.width*canvas.height);return gl.readPixels(0,0,canvas.width,canvas.height,gl.RGBA,gl.UNSIGNED_BYTE,pixelValues),pixelValues},unpackToFloat=function(array){for(var newArray=[],al=array.length,i=0;i<al;i+=4)newArray[i/4>>0]=array[i]/4294967296+array[i+1]/16777216+array[i+2]/65536+array[i+3]/256;return newArray},normalizeFilterMatrix=function(response){for(var msize=response.length,max=0,min=1,i=0;i<msize;i++)max=response[i]>max?response[i]:max,min=response[i]<min?response[i]:min;var dist=max-min;if(0==dist)response=response.map(function(){return 1});else for(i=0;i<msize;i++)response[i]=(response[i]-min)/dist;return response}},mosseFilterResponses=function(){var filters=[],responses=[],num_Patches=0;this.init=function(filter_input,numPatches,filterWidth,filterHeight){for(var i=0;i<numPatches;i++){var temp={};temp.width=filterWidth,temp.height=filterHeight;for(var filterLength=filterWidth*filterHeight,flar_fi0=new Float64Array(filterLength),flar_fi1=new Float64Array(filterLength),j=0;j<filterLength;j++)flar_fi0[j]=filter_input[i][0][j],flar_fi1[j]=filter_input[i][1][j];temp.real=flar_fi0,temp.imag=flar_fi1,filters[i]=new mosse.mosseFilter,filters[i].load(temp)}num_Patches=numPatches},this.getResponses=function(patches){for(var i=0;i<num_Patches;i++)responses[i]=filters[i].getResponse(patches[i]),responses[i]=normalizeFilterMatrix(responses[i]);return responses};var normalizeFilterMatrix=function(response){for(var msize=response.length,max=0,min=1,i=0;i<msize;i++)max=response[i]>max?response[i]:max,min=response[i]<min?response[i]:min;var dist=max-min;if(0==dist)console.log("a patchresponse was monotone, causing normalization to fail. Leaving it unchanged."),response=response.map(function(){return 1});else for(i=0;i<msize;i++)response[i]=(response[i]-min)/dist;return response}},model_pca_20_svm=createCommonjsModule(function(module,exports){!function(global){var 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renderingSupported=!1,gl=webGLContext,texture=gl.createTexture();gl.bindTexture(gl.TEXTURE_2D,texture),gl.texImage2D(gl.TEXTURE_2D,0,gl.RGBA,2,2,0,gl.RGBA,gl.FLOAT,null),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MAG_FILTER,gl.NEAREST),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MIN_FILTER,gl.NEAREST);var framebuffer=gl.createFramebuffer();return gl.bindFramebuffer(gl.FRAMEBUFFER,framebuffer),gl.framebufferTexture2D(gl.FRAMEBUFFER,gl.COLOR_ATTACHMENT0,gl.TEXTURE_2D,texture,0),gl.checkFramebufferStatus(gl.FRAMEBUFFER)==gl.FRAMEBUFFER_COMPLETE&&(renderingSupported=!0),gl.deleteTexture(texture),gl.deleteFramebuffer(framebuffer),gl.bindTexture(gl.TEXTURE_2D,null),gl.bindFramebuffer(gl.FRAMEBUFFER,null),renderingSupported},version="1.1.2",DEFAULT_MODEL=model_pca_20_svm;index.polyfill(),window.Promise||(window.Promise=promise);var clm={tracker:function(params){function resetParameters(){first=!0,scoringHistory=[],previousParameters=[],currentPositions=[],previousPositions=[];for(var i=0;i<currentParameters.length;i++)currentParameters[i]=0}function drawPoint(canvasContext,point,dp){var i,x,y,a,b;x=meanShape[(i=2*point)/2][0],y=meanShape[i/2][1];for(var j=0;j<numParameters;j++)x+=model.shapeModel.eigenVectors[i][j]*dp[j+4],y+=model.shapeModel.eigenVectors[i+1][j]*dp[j+4];a=dp[0]*x-dp[1]*y+dp[2],b=dp[0]*y+dp[1]*x+dp[3],x+=a,y+=b,canvasContext.beginPath(),canvasContext.arc(x,y,1,0,2*Math.PI,!0),canvasContext.closePath(),canvasContext.fill()}params||(params={}),void 0===params.constantVelocity&&(params.constantVelocity=!0),void 0===params.searchWindow&&(params.searchWindow=11),void 0===params.useWebGL&&(params.useWebGL=!0),void 0===params.scoreThreshold&&(params.scoreThreshold=.5),void 0===params.stopOnConvergence&&(params.stopOnConvergence=!1),void 0===params.weightPoints&&(params.weightPoints=void 0),void 0===params.sharpenResponse&&(params.sharpenResponse=!1),void 0===params.faceDetection&&(params.faceDetection={});var numPatches,patchSize,numParameters,patchType,gaussianPD,eigenVectors,eigenValues,sketchCC,sketchW,sketchH,sketchCanvas,weights,model,biases,searchWindow,modelWidth,modelHeight,halfSearchWindow,vecProbs,responsePixels,sobelInit=!1,lbpInit=!1,currentParameters=[],currentPositions=[],previousParameters=[],previousPositions=[],patches=[],responses=[],meanShape=[],responseMode="single",responseList=["raw"],responseIndex=0,varianceSeq=[10,5,1],first=!0,detectingFace=!1;if("undefined"!=typeof Float64Array)var updatePosition=new Float64Array(2),vecpos=new Float64Array(2);else var updatePosition=new Array(2),vecpos=new Array(2);var pw,pl,pdataLength,webglFi,svmFi,mosseCalc,msxmin,msymin,msxmax,msymax,msmodelwidth,msmodelheight,scoringWeights,scoringBias,runnerTimeout,runnerElement,runnerBox,pointWeights,faceDetector,facecheck_count=0,scoringCanvas=document.createElement("canvas"),scoringContext=scoringCanvas.getContext("2d"),scoringHistory=[],meanscore=0,halfPI=Math.PI/2;this.init=function(pdmmodel){void 0===pdmmodel&&(pdmmodel=DEFAULT_MODEL),patchType=(model=pdmmodel).patchModel.patchType,numPatches=model.patchModel.numPatches,patchSize=model.patchModel.patchSize[0],searchWindow="MOSSE"==patchType?patchSize:params.searchWindow,numParameters=model.shapeModel.numEvalues,modelWidth=model.patchModel.canvasSize[0],modelHeight=model.patchModel.canvasSize[1],sketchCanvas=document.createElement("canvas"),sketchCC=sketchCanvas.getContext("2d"),sketchW=sketchCanvas.width=modelWidth+(searchWindow-1)+patchSize-1,sketchH=sketchCanvas.height=modelHeight+(searchWindow-1)+patchSize-1,eigenVectors=numeric1_2_6.rep([2*numPatches,numParameters],0);for(i=0;i<2*numPatches;i++)for(var j=0;j<numParameters;j++)eigenVectors[i][j]=model.shapeModel.eigenVectors[i][j];for(i=0;i<numPatches;i++)meanShape[i]=[model.shapeModel.meanShape[i][0],model.shapeModel.meanShape[i][1]];msxmax=msymax=0,msxmin=msymin=1e6;for(i=0;i<numPatches;i++)meanShape[i][0]<msxmin&&(msxmin=meanShape[i][0]),meanShape[i][1]<msymin&&(msymin=meanShape[i][1]),meanShape[i][0]>msxmax&&(msxmax=meanShape[i][0]),meanShape[i][1]>msymax&&(msymax=meanShape[i][1]);msmodelwidth=msxmax-msxmin,msmodelheight=msymax-msymin,model.scoring&&(scoringWeights=new Float64Array(model.scoring.coef),scoringBias=model.scoring.bias,scoringCanvas.width=model.scoring.size[0],scoringCanvas.height=model.scoring.size[1]),eigenValues=model.shapeModel.eigenValues,weights=model.patchModel.weights,biases=model.patchModel.bias,gaussianPD=numeric1_2_6.rep([numParameters+4,numParameters+4],0);for(i=0;i<numParameters;i++)model.shapeModel.nonRegularizedVectors.indexOf(i)>=0?gaussianPD[i+4][i+4]=1e-7:gaussianPD[i+4][i+4]=1/eigenValues[i];for(i=0;i<numParameters+4;i++)currentParameters[i]=0;if("SVM"==patchType){var webGLContext,webGLTestCanvas=document.createElement("canvas");if(window.WebGLRenderingContext&&((webGLContext=webGLTestCanvas.getContext("webgl")||webGLTestCanvas.getContext("experimental-webgl"))&&webGLContext.getExtension("OES_texture_float")?canRenderToFloatTexture(webGLContext)||(webGLContext=null):webGLContext=null),webGLContext&&params.useWebGL&&void 0!==webglFilter){webglFi=new webglFilter;try{webglFi.init(weights,biases,numPatches,searchWindow+patchSize-1,searchWindow+patchSize-1,patchSize,patchSize),"lbp"in weights&&(lbpInit=!0),"sobel"in weights&&(sobelInit=!0)}catch(err){console.error(err),alert("There was a problem setting up webGL programs, falling back to slightly slower javascript version. :("),webglFi=void 0,(svmFi=new svmFilter).init(weights.raw,biases.raw,numPatches,patchSize,searchWindow)}}else{if(void 0===svmFilter)throw new Error("Could not initiate filters, please make sure that svmfilter.js or svmfilter_conv_js.js is loaded.");(svmFi=new svmFilter).init(weights.raw,biases.raw,numPatches,patchSize,searchWindow)}}else"MOSSE"==patchType&&(mosseCalc=new mosseFilterResponses).init(weights,numPatches,patchSize,patchSize);if(pw=pl="SVM"==patchType?patchSize+searchWindow-1:searchWindow,pdataLength=pw*pl,halfSearchWindow=(searchWindow-1)/2,responsePixels=searchWindow*searchWindow,"undefined"!=typeof Float64Array){vecProbs=new Float64Array(responsePixels);for(i=0;i<numPatches;i++)patches[i]=new Float64Array(pdataLength)}else{vecProbs=new Array(responsePixels);for(i=0;i<numPatches;i++)patches[i]=new Array(pdataLength)}if(params.weightPoints){pointWeights=[];for(var i=0;i<numPatches;i++)i in params.weightPoints?(pointWeights[2*i]=params.weightPoints[i],pointWeights[2*i+1]=params.weightPoints[i]):(pointWeights[2*i]=1,pointWeights[2*i+1]=1);pointWeights=numeric1_2_6.diag(pointWeights)}faceDetector=new faceDetection(model,params.faceDetection)},this.start=function(element,box){if(void 0===model)return console.log("tracker needs to be initalized before starting to track."),!1;void 0===runnerElement&&(runnerElement=element,runnerBox=box),faceDetector.init(element),runnerTimeout=requestAnimationFrame(runnerFunction)};var runnerFunction=function(){runnerTimeout=requestAnimationFrame(runnerFunction);for(var startTime=(new Date).getTime();(new Date).getTime()-startTime<16&&this.track(runnerElement,runnerBox););}.bind(this);this.stop=function(){cancelAnimationFrame(runnerTimeout)},this.track=function(element,box){emitEvent("clmtrackrBeforeTrack");var scaling,translateX,translateY,rotation,px,py;if(first)return detectingFace||(detectingFace=!0,faceDetector.getInitialPosition(box).then(function(result){scaling=result[0],rotation=result[1],translateX=result[2],translateY=result[3],currentParameters[0]=scaling*Math.cos(rotation)-1,currentParameters[1]=scaling*Math.sin(rotation),currentParameters[2]=translateX,currentParameters[3]=translateY,currentPositions=calculatePositions(currentParameters,!0),first=!1,detectingFace=!1}).catch(function(error){emitEvent("clmtrackrNotFound"),detectingFace=!1})),!1;if(facecheck_count+=1,params.constantVelocity&&previousParameters.length>=2)for(i=0;i<currentParameters.length;i++)currentParameters[i]=.1*previousParameters[1][i]+.9*(2*previousParameters[1][i]-previousParameters[0][i]);(rotation=halfPI-Math.atan((currentParameters[0]+1)/currentParameters[1]))>halfPI&&(rotation-=Math.PI),scaling=currentParameters[1]/Math.sin(rotation),translateX=currentParameters[2],translateY=currentParameters[3],sketchCC.save(),sketchCC.clearRect(0,0,sketchW,sketchH),sketchCC.scale(1/scaling,1/scaling),sketchCC.rotate(-rotation),sketchCC.translate(-translateX,-translateY),sketchCC.drawImage(element,0,0,element.width,element.height),sketchCC.restore();var patchPositions=calculatePositions(currentParameters,!1);if(scoringWeights&&facecheck_count%10==0&&!checkTracking())return resetParameters(),emitEvent("clmtrackrLost"),!1;for(var pdata,pmatrix,grayscaleColor,i=0;i<numPatches;i++){px=patchPositions[i][0]-pw/2,py=patchPositions[i][1]-pl/2,pdata=sketchCC.getImageData(Math.round(px),Math.round(py),pw,pl).data,pmatrix=patches[i];for(j=0;j<pdataLength;j++)grayscaleColor=.3*pdata[4*j]+.59*pdata[4*j+1]+.11*pdata[4*j+2],pmatrix[j]=grayscaleColor}if("SVM"==patchType)if(void 0!==webglFi)responses=getWebGLResponses(patches);else{if(void 0===svmFi)throw new Error("SVM-filters do not seem to be initiated properly.");responses=svmFi.getResponses(patches)}else"MOSSE"==patchType&&(responses=mosseCalc.getResponses(patches));if(params.sharpenResponse)for(i=0;i<numPatches;i++)for(j=0;j<responses[i].length;j++)responses[i][j]=Math.pow(responses[i][j],params.sharpenResponse);for(var jac,originalPositions=currentPositions,meanshiftVectors=[],i=0;i<varianceSeq.length;i++){jac=createJacobian(currentParameters,eigenVectors);for(var opj0,opj1,j=0;j<numPatches;j++){opj0=originalPositions[j][0]-(searchWindow-1)*scaling/2,opj1=originalPositions[j][1]-(searchWindow-1)*scaling/2;var vpsum=gpopt(searchWindow,currentPositions[j],updatePosition,vecProbs,responses,opj0,opj1,j,varianceSeq[i],scaling);gpopt2(searchWindow,vecpos,updatePosition,vecProbs,vpsum,opj0,opj1,scaling),meanshiftVectors[j]=[vecpos[0]-currentPositions[j][0],vecpos[1]-currentPositions[j][1]]}for(var meanShiftVector=numeric1_2_6.rep([2*numPatches,1],0),k=0;k<numPatches;k++)meanShiftVector[2*k][0]=meanshiftVectors[k][0],meanShiftVector[2*k+1][0]=meanshiftVectors[k][1];var jtj,prior=numeric1_2_6.mul(gaussianPD,varianceSeq[i]);jtj=params.weightPoints?numeric1_2_6.dot(numeric1_2_6.transpose(jac),numeric1_2_6.dot(pointWeights,jac)):numeric1_2_6.dot(numeric1_2_6.transpose(jac),jac);for(var cpMatrix=numeric1_2_6.rep([numParameters+4,1],0),l=0;l<numParameters+4;l++)cpMatrix[l][0]=currentParameters[l];var jtv,priorP=numeric1_2_6.dot(prior,cpMatrix);jtv=params.weightPoints?numeric1_2_6.dot(numeric1_2_6.transpose(jac),numeric1_2_6.dot(pointWeights,meanShiftVector)):numeric1_2_6.dot(numeric1_2_6.transpose(jac),meanShiftVector);for(var paramUpdateLeft=numeric1_2_6.add(prior,jtj),paramUpdateRight=numeric1_2_6.sub(priorP,jtv),paramUpdate=numeric1_2_6.dot(numeric1_2_6.inv(paramUpdateLeft),paramUpdateRight),oldPositions=currentPositions,k=0;k<numParameters+4;k++)currentParameters[k]-=paramUpdate[k];for(var clip,k=0;k<numParameters;k++)clip=Math.abs(3*Math.sqrt(eigenValues[k])),Math.abs(currentParameters[k+4])>clip&&(currentParameters[k+4]>0?currentParameters[k+4]=clip:currentParameters[k+4]=-clip);currentPositions=calculatePositions(currentParameters,!0);for(var pnsq_x,pnsq_y,positionNorm=0,k=0;k<currentPositions.length;k++)positionNorm+=(pnsq_x=currentPositions[k][0]-oldPositions[k][0])*pnsq_x+(pnsq_y=currentPositions[k][1]-oldPositions[k][1])*pnsq_y;if(positionNorm<.01)break}return params.constantVelocity&&(previousParameters.push(currentParameters.slice()),3==previousParameters.length&&previousParameters.shift()),10==previousPositions.length&&previousPositions.shift(),previousPositions.push(currentPositions.slice(0)),emitEvent("clmtrackrIteration"),scoringHistory.length>=5&&this.getConvergence()<.5&&(params.stopOnConvergence&&this.stop(),emitEvent("clmtrackrConverged")),currentPositions},this.reset=function(){resetParameters(),runnerElement=void 0,runnerBox=void 0},this.draw=function(canvas,pv,path){var params;params=void 0===pv?currentParameters.slice(0):pv.slice(0);var cc=canvas.getContext("2d");cc.fillStyle="rgb(200,200,200)",cc.strokeStyle="rgb(130,255,50)";var paths;paths=void 0===path?model.path.normal:model.path[path];for(var i=0;i<paths.length;i++)"number"==typeof paths[i]?drawPoint(cc,paths[i],params):drawPath(cc,paths[i],params)},this.getScore=function(){return meanscore},this.calculatePositions=function(parameters){return calculatePositions(parameters,!0)},this.getCurrentPosition=function(){return!first&&currentPositions},this.getCurrentParameters=function(){return currentParameters},this.getConvergence=function(){if(previousPositions.length<10)return 999999;for(var prevX=0,prevY=0,currX=0,currY=0,i=0;i<5;i++)for(j=0;j<numPatches;j++)prevX+=previousPositions[i][j][0],prevY+=previousPositions[i][j][1];prevX/=5,prevY/=5;for(i=5;i<10;i++)for(var j=0;j<numPatches;j++)currX+=previousPositions[i][j][0],currY+=previousPositions[i][j][1];var diffX=(currX/=5)-prevX,diffY=(currY/=5)-prevY,msavg=diffX*diffX+diffY*diffY;return msavg/=previousPositions.length},this.setResponseMode=function(mode,list){if(void 0!==model)if(void 0!==webglFi)if(["single","blend","cycle"].indexOf(mode)<0)console.log('Tried to set an unknown responsemode : "'+mode+'". No changes made.');else if(list instanceof Array){for(var i=0;i<list.length;i++)["raw","sobel","lbp"].indexOf(list[i])<0&&console.log('Unknown element in responsemode list : "'+list[i]+'". No changes made.'),"sobel"==list[i]&&0==sobelInit&&console.log("The sobel filters have not been initialized! No changes made."),"lbp"==list[i]&&0==lbpInit&&console.log("The LBP filters have not been initialized! No changes made.");responseIndex=0,responseMode=mode,responseList=list}else console.log("List in setResponseMode must be an array of strings! No changes made.");else console.log('Responsemodes are only allowed when using webGL. In pure JS, only "raw" mode is available.');else console.log("Clmtrackr has not been initialized with a model yet. No changes made.")};var getWebGLResponsesType=function(type,patches){return"lbp"==type?webglFi.getLBPResponses(patches):"raw"==type?webglFi.getRawResponses(patches):"sobel"==type?webglFi.getSobelResponses(patches):void 0},getWebGLResponses=function(patches){if("single"==responseMode)return getWebGLResponsesType(responseList[0],patches);if("cycle"==responseMode){response=getWebGLResponsesType(responseList[responseIndex],patches);return++responseIndex>=responseList.length&&(responseIndex=0),response}for(var responses=[],i=0;i<responseList.length;i++)responses[i]=getWebGLResponsesType(responseList[i],patches);for(var blendedResponses=[],searchWindowSize=searchWindow*searchWindow,i=0;i<numPatches;i++){for(var response=Array(searchWindowSize),k=0;k<searchWindowSize;k++)response[k]=0;for(var j=0;j<responseList.length;j++)for(k=0;k<searchWindowSize;k++)response[k]+=responses[j][i][k]/responseList.length;blendedResponses[i]=response}return blendedResponses},createJacobian=function(parameters,eigenVectors){for(var j0,j1,jacobian=numeric1_2_6.rep([2*numPatches,numParameters+4],0),i=0;i<numPatches;i++){j0=meanShape[i][0],j1=meanShape[i][1];for(p=0;p<numParameters;p++)j0+=parameters[p+4]*eigenVectors[2*i][p],j1+=parameters[p+4]*eigenVectors[2*i+1][p];jacobian[2*i][0]=j0,jacobian[2*i+1][0]=j1,j0=meanShape[i][1],j1=meanShape[i][0];for(var p=0;p<numParameters;p++)j0+=parameters[p+4]*eigenVectors[2*i+1][p],j1+=parameters[p+4]*eigenVectors[2*i][p];jacobian[2*i][1]=-j0,jacobian[2*i+1][1]=j1,jacobian[2*i][2]=1,jacobian[2*i+1][2]=0,jacobian[2*i][3]=0,jacobian[2*i+1][3]=1;for(var j=0;j<numParameters;j++)j0=parameters[0]*eigenVectors[2*i][j]-parameters[1]*eigenVectors[2*i+1][j]+eigenVectors[2*i][j],j1=parameters[0]*eigenVectors[2*i+1][j]+parameters[1]*eigenVectors[2*i][j]+eigenVectors[2*i+1][j],jacobian[2*i][j+4]=j0,jacobian[2*i+1][j+4]=j1}return jacobian},calculatePositions=function(parameters,useTransforms){for(var x,y,a,b,numParameters=parameters.length,positions=[],i=0;i<numPatches;i++){x=meanShape[i][0],y=meanShape[i][1];for(var j=0;j<numParameters-4;j++)x+=model.shapeModel.eigenVectors[2*i][j]*parameters[j+4],y+=model.shapeModel.eigenVectors[2*i+1][j]*parameters[j+4];useTransforms&&(a=parameters[0]*x-parameters[1]*y+parameters[2],b=parameters[0]*y+parameters[1]*x+parameters[3],x+=a,y+=b),positions[i]=[x,y]}return positions},gpopt=function(responseWidth,currentPositionsj,updatePosition,vecProbs,responses,opj0,opj1,j,variance,scaling){for(var dx,dy,pos_idx=0,vpsum=0,k=0;k<responseWidth;k++){updatePosition[1]=opj1+k*scaling;for(var l=0;l<responseWidth;l++)updatePosition[0]=opj0+l*scaling,dx=currentPositionsj[0]-updatePosition[0],dy=currentPositionsj[1]-updatePosition[1],vecProbs[pos_idx]=responses[j][pos_idx]*Math.exp(-.5*(dx*dx+dy*dy)/(variance*scaling)),vpsum+=vecProbs[pos_idx],pos_idx++}return vpsum},gpopt2=function(responseWidth,vecpos,updatePosition,vecProbs,vpsum,opj0,opj1,scaling){var pos_idx=0,vecsum=0;vecpos[0]=0,vecpos[1]=0;for(var k=0;k<responseWidth;k++){updatePosition[1]=opj1+k*scaling;for(var l=0;l<responseWidth;l++)updatePosition[0]=opj0+l*scaling,vecsum=vecProbs[pos_idx]/vpsum,vecpos[0]+=vecsum*updatePosition[0],vecpos[1]+=vecsum*updatePosition[1],pos_idx++}},checkTracking=function(){scoringContext.drawImage(sketchCanvas,Math.round(msxmin+msmodelwidth/4.5),Math.round(msymin-msmodelheight/12),Math.round(msmodelwidth-2*msmodelwidth/4.5),Math.round(msmodelheight-msmodelheight/12),0,0,20,22);for(var imgData=scoringContext.getImageData(0,0,20,22),scoringData=new Array(440),scdata=imgData.data,scmax=0,i=0;i<440;i++)scoringData[i]=.3*scdata[4*i]+.59*scdata[4*i+1]+.11*scdata[4*i+2],scoringData[i]=Math.log(scoringData[i]+1),scoringData[i]>scmax&&(scmax=scoringData[i]);if(scmax>0){for(var mean=0,i=0;i<440;i++)mean+=scoringData[i];mean/=440;for(var sd=0,i=0;i<440;i++)sd+=(scoringData[i]-mean)*(scoringData[i]-mean);sd/=440,sd=Math.sqrt(sd);for(var score=0,i=0;i<440;i++)scoringData[i]=(scoringData[i]-mean)/sd,score+=scoringData[i]*scoringWeights[i];if(score+=scoringBias,score=1/(1+Math.exp(-score)),5==scoringHistory.length&&scoringHistory.shift(),scoringHistory.push(score),scoringHistory.length>4){meanscore=0;for(i=0;i<5;i++)meanscore+=scoringHistory[i];if((meanscore/=5)<params.scoreThreshold)return!1}}return!0},drawPath=function(canvasContext,path,dp){canvasContext.beginPath();for(var i,x,y,a,b,p=0;p<path.length;p++){i=2*path[p],x=meanShape[i/2][0],y=meanShape[i/2][1];for(var j=0;j<numParameters;j++)x+=model.shapeModel.eigenVectors[i][j]*dp[j+4],y+=model.shapeModel.eigenVectors[i+1][j]*dp[j+4];a=dp[0]*x-dp[1]*y+dp[2],b=dp[0]*y+dp[1]*x+dp[3],x+=a,y+=b,0==i?canvasContext.moveTo(x,y):canvasContext.lineTo(x,y)}canvasContext.moveTo(0,0),canvasContext.closePath(),canvasContext.stroke()};return!0},version:version};return clm});
diff --git a/js/despacito.js b/js/despacito.js
new file mode 100644
index 0000000..f2acbf9
--- /dev/null
+++ b/js/despacito.js
@@ -0,0 +1,29 @@
+var tag = document.createElement('script');
+
+tag.src = "https://www.youtube.com/iframe_api";
+var firstScriptTag = document.getElementsByTagName('script')[0];
+firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);
+
+var player;
+function onYouTubeIframeAPIReady() {
+  player = new YT.Player('player', {
+    height: '390',
+    width: '640',
+    videoId: 'kJQP7kiw5Fk',
+    events: {
+      'onReady': onPlayerReady,
+    }
+  });
+}
+
+function onPlayerReady(event) {
+  event.target.playVideo();
+}
+
+function resumeVideo() {
+  player.playVideo()
+}
+
+function pauseVideo() {
+  player.pauseVideo();
+}
\ No newline at end of file
diff --git a/js/emotion_classifier.js b/js/emotion_classifier.js
deleted file mode 100644
index 599f213..0000000
--- a/js/emotion_classifier.js
+++ /dev/null
@@ -1,72 +0,0 @@
-"use strict";
-var emotionClassifier = function() {
-
-	var previousParameters = [];
-	var classifier = {};
-	var emotions = [];
-	var coefficient_length;
-
-	this.getEmotions = function() {
-		return emotions;
-	}
-
-	this.init = function(model) {
-		// load it
-		for (var m in model) {
-			emotions.push(m);
-			classifier[m] = {};
-			classifier[m]['bias'] = model[m]['bias'];
-			classifier[m]['coefficients'] = model[m]['coefficients'];
-		}
-		coefficient_length = classifier[emotions[0]]['coefficients'].length;
-	}
-
-	this.getBlank = function() {
-		var prediction = [];
-		for (var j = 0;j < emotions.length;j++) {
-			prediction[j] = {"emotion" : emotions[j], "value" : 0.0};
-		}
-		return prediction;
-	}
-
-	this.predict = function(parameters) {
-		var prediction = [];
-		for (var j = 0;j < emotions.length;j++) {
-			var e = emotions[j];
-			var score = classifier[e].bias;
-			for (var i = 0;i < coefficient_length;i++) {
-				score += classifier[e].coefficients[i]*parameters[i+6];
-			}
-			prediction[j] = {"emotion" : e, "value" : 0.0};
-			prediction[j]['value'] = 1.0/(1.0 + Math.exp(-score));
-		}
-		return prediction;
-	}
-
-	this.meanPredict = function (parameters) {
-		// store to array of 10 previous parameters
-		previousParameters.splice(0, previousParameters.length == 10 ? 1 : 0);
-		previousParameters.push(parameters.slice(0));
-
-		if (previousParameters.length > 9) {
-			// calculate mean of parameters?
-			var meanParameters = [];
-			for (var i = 0;i < parameters.length;i++) {
-				meanParameters[i] = 0;
-			}
-			for (var i = 0;i < previousParameters.length;i++) {
-				for (var j = 0;j < parameters.length;j++) {
-					meanParameters[j] += previousParameters[i][j];
-				}
-			}
-			for (var i = 0;i < parameters.length;i++) {
-				meanParameters[i] /= 10;
-			}
-
-			// calculate logistic regression
-			return this.predict(meanParameters);
-		} else {
-			return false;
-		}
-	}
-}
\ No newline at end of file
diff --git a/js/emotionmodel.js b/js/emotionmodel.js
deleted file mode 100644
index df15968..0000000
--- a/js/emotionmodel.js
+++ /dev/null
@@ -1,26 +0,0 @@
-var emotionModel = {
-	"angry" : {
-		"bias" : -2.3768163629,
-		"coefficients" : [-0.026270300474413848, 0.037963304603547195, 0.25318394482150264, -0.36801694354709802, -0.059638621925431838, 6.3145056900010567e-17, 0.094520059272651849, 0.21347244366388901, 0.42885313652690621, -1.5592214434343613e-14, 0.13850079872874066, -5.1485910666665307e-16, 0.33298910350203975, 8.0357363919330235e-16, 0.0025325096363696059, -0.44615090964065951, -1.5784656134660036e-15, 0.047596008125675944],
-	},
-	"disgusted" : {
-		"bias" : -2.27900176842,
-		"coefficients" : [0.042360511043701296, 0.1282033922181087, 0.12391812407152457, -0.27567823277270387, 0.1421150306247343, -3.1081856766624292e-16, 0.12612972927139088, 0.23426310789552218, 0.058894842405560956, -4.0618311657856847e-15, 0.22340906131116328, -5.81584759084207e-15, 0.25735218595500009, 1.3658078149815552e-15, -0.12506850140605949, -0.9463447584787309, -4.555025133881674e-15, 0.07141679477545719],
-	},
-	"fear" : {
-		"bias" : -3.40339917096,
-		"coefficients" : [-0.1484066846778026, -0.090079860583144475, -0.16138464891003612, 0.078750143250805593, 0.070521075864349317, 3.6426173865029096e-14, 0.54106033239630258, 0.049586639890528791, -0.10793093750863458, -5.1279691693889055e-15, -0.092243236155683667, -1.5165430767377168e-14, 0.19842076279793416, 3.8282960479670228e-15, -0.67367184030514637, -0.2166709100861198, 1.1995348541944584e-14, -0.20024153378658624],
-	},
-	"sad" : {
-		"bias" : -2.75274632938,
-		"coefficients" : [0.092611010001705449, -0.12883530427748521, -0.068975994604949298, -0.19623077060801897, 0.055312197843294802, -3.5874521027522394e-16, 0.46315306348086854, -0.32103622843654361, -0.46536626891885491, 1.725612051187888e-14, -0.40841535552399683, 2.1258665882389598e-14, 0.45405204011625938, 5.9194289392226669e-15, 0.094410500655151899, -0.4861387223131064, -3.030330454831321e-15, 0.73708254653765559],
-	},
-	"surprised" : {
-		"bias" : -2.86262062696,
-		"coefficients" : [-0.12854109490879712, -0.049194392540246726, -0.22856553950573175, 0.2992140056765602, -0.25975558754705375, 1.4688408313649554e-09, -0.13685597104348368, -0.23581884244542603, 0.026447180058097462, 1.6822695398601112e-10, 0.095712304864421921, -4.4670230074132591e-10, 0.40505706085269738, 2.7821987602166784e-11, -0.54367856543588833, -0.096320945782919151, 1.4239801195516449e-10, -0.7238167998685946],
-	},
-	"happy" : {
-		"bias" : -1.4786712822,
-		"coefficients" : [0.014837209675880276, 0.31092627456808286, -0.1214238695400552, 0.45265837869400843, 0.36700140259900887, 1.7113646510738279e-15, -0.4786251427206033, -0.15377369505521801, -0.16948121903942992, 6.0300272629176253e-15, -0.021184992727875669, -6.9318606881292957e-15, -0.81611603551588852, -3.7883560238442657e-15, 0.1486320646217055, 0.94973410351769527, 3.6260400713070416e-15, -0.31361179943007411],
-	},
-};
\ No newline at end of file
diff --git a/js/emotions.js b/js/emotions.js
new file mode 100644
index 0000000..9c7bd24
--- /dev/null
+++ b/js/emotions.js
@@ -0,0 +1,67 @@
+let emotions = ['angry','neutral', 'happy'];
+let classifier = null;
+let mobilenet_model = null;
+let learner = null;
+let detected_e = null;
+let mode = 'test';
+let video = null;
+
+async function init(){
+  // load the load mobilenet and create a KnnClassifier
+  this.classifier = knnClassifier.create();
+  this.mobilenet_model = await mobilenet.load();
+}
+
+
+function trainModel(){
+  let selected = document.getElementById("emotion_options");
+  this.learner = selected.options[selected.selectedIndex].value;
+  this.addExample();
+}
+
+
+function addExample(){
+  const img= tf.fromPixels(this.$children[0].webcam.webcamElement);
+  const logits = this.mobilenet_model.infer(img, 'conv_preds');
+  this.classifier.addExample(logits, parseInt(this.learner));
+}
+
+
+async function getEmotion(){
+  let frame = document.getElementById('test')
+  const img = tf.fromPixels(frame);
+  const logits = this.mobilenet_model.infer(img, 'conv_preds');
+  const pred = await this.classifier.predictClass(logits);
+  console.log(pred);
+  this.detected_e = this.emotions[pred.classIndex];
+  this.registerEmotion();
+}
+
+/*
+function changeOption(){
+    const selected = document.getElementById("use_case");
+    this.mode = selected.options[selected.selectedIndex].value;
+}
+*/
+
+
+function registerEmotion(){
+    alert(this.detected_e)
+}
+
+function captureWebcam(){
+  video = document.getElementById("videoElement");
+ 
+  if (navigator.mediaDevices.getUserMedia) {       
+      navigator.mediaDevices.getUserMedia({video: true})
+    .then(function(stream) {
+      video.srcObject = stream;
+    })
+    .catch(function(error) {
+      console.log("Error capturing webcam video: " + error);
+    });
+  }
+}
+
+captureWebcam();
+init();
\ No newline at end of file
diff --git a/js/jquery-1.4.3.min.js b/js/jquery-1.4.3.min.js
new file mode 100644
index 0000000..c941a5f
--- /dev/null
+++ b/js/jquery-1.4.3.min.js
@@ -0,0 +1,166 @@
+/*!
+ * jQuery JavaScript Library v1.4.3
+ * http://jquery.com/
+ *
+ * Copyright 2010, John Resig
+ * Dual licensed under the MIT or GPL Version 2 licenses.
+ * http://jquery.org/license
+ *
+ * Includes Sizzle.js
+ * http://sizzlejs.com/
+ * Copyright 2010, The Dojo Foundation
+ * Released under the MIT, BSD, and GPL Licenses.
+ *
+ * Date: Thu Oct 14 23:10:06 2010 -0400
+ */
+(function(E,A){function U(){return false}function ba(){return true}function ja(a,b,d){d[0].type=a;return c.event.handle.apply(b,d)}function Ga(a){var b,d,e=[],f=[],h,k,l,n,s,v,B,D;k=c.data(this,this.nodeType?"events":"__events__");if(typeof k==="function")k=k.events;if(!(a.liveFired===this||!k||!k.live||a.button&&a.type==="click")){if(a.namespace)D=RegExp("(^|\\.)"+a.namespace.split(".").join("\\.(?:.*\\.)?")+"(\\.|$)");a.liveFired=this;var H=k.live.slice(0);for(n=0;n<H.length;n++){k=H[n];k.origType.replace(X,
+"")===a.type?f.push(k.selector):H.splice(n--,1)}f=c(a.target).closest(f,a.currentTarget);s=0;for(v=f.length;s<v;s++){B=f[s];for(n=0;n<H.length;n++){k=H[n];if(B.selector===k.selector&&(!D||D.test(k.namespace))){l=B.elem;h=null;if(k.preType==="mouseenter"||k.preType==="mouseleave"){a.type=k.preType;h=c(a.relatedTarget).closest(k.selector)[0]}if(!h||h!==l)e.push({elem:l,handleObj:k,level:B.level})}}}s=0;for(v=e.length;s<v;s++){f=e[s];if(d&&f.level>d)break;a.currentTarget=f.elem;a.data=f.handleObj.data;
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diff --git a/js/libs/Stats.js b/js/libs/Stats.js
deleted file mode 100644
index 8a4242b..0000000
--- a/js/libs/Stats.js
+++ /dev/null
@@ -1,7 +0,0 @@
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diff --git a/js/libs/d3.min.js b/js/libs/d3.min.js
deleted file mode 100644
index eed58e6..0000000
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diff --git a/js/libs/utils.js b/js/libs/utils.js
deleted file mode 100644
index ad912ad..0000000
--- a/js/libs/utils.js
+++ /dev/null
@@ -1,44 +0,0 @@
-// helper functions
-
-/**
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- */
-window.requestAnimFrame = (function() {
-  return window.requestAnimationFrame ||
-         window.webkitRequestAnimationFrame ||
-         window.mozRequestAnimationFrame ||
-         window.oRequestAnimationFrame ||
-         window.msRequestAnimationFrame ||
-         function(/* function FrameRequestCallback */ callback, /* DOMElement Element */ element) {
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-         };
-})();
-
-/**
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- */
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-  return window.cancelAnimationFrame ||
-         window.webkitCancelRequestAnimationFrame ||
-         window.mozCancelRequestAnimationFrame ||
-         window.oCancelRequestAnimationFrame ||
-         window.msCancelRequestAnimationFrame ||
-         window.clearTimeout;
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-
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-
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-  if (!supports_video()) { return false; }
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-
-function supports_webm_video() {
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\ No newline at end of file
diff --git a/js/models/model_pca_10_mosse.js b/js/models/model_pca_10_mosse.js
deleted file mode 100644
index 3e5746d..0000000
--- a/js/models/model_pca_10_mosse.js
+++ /dev/null
@@ -1,691 +0,0 @@
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-    },
-    "path": {
-      "normal": [
-        [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14],
-        [15, 16, 17, 18],
-        [19, 20, 21, 22],
-        [23, 63, 24, 64, 25, 65, 26, 66, 23],
-        [28, 67, 29, 68, 30, 69, 31, 70, 28],
-        [34, 35, 36, 42, 37, 43, 38, 39, 40],
-        [33, 41, 62],
-        [44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 44, 56, 57, 58, 50, 59, 60, 61, 44],
-        27, 32
-      ],
-      "vertices": [
-        // jawline
-        [0,1,23,0],
-        [1,23,66,1],
-        [1,2,66,1],
-        [2,66,26,2],
-        [2,26,35,2],
-        [2,35,36,2],
-        [2,36,3,2],
-        [36,44,45,36],
-        [3,4,44,3],
-        [3,44,36,3],
-        [4,44,55,4],
-        [4,5,55,4],
-        [5,55,54,5],
-        [5,6,54,5],
-        [6,53,54,6],
-        [6,7,53,6],
-        [7,8,53,7],
-        [8,52,53,8],
-        [8,9,52,8],
-        [9,51,52,9],
-        [9,10,51,9],
-        [10,50,51,10],
-        [10,11,50,10],
-        [11,38,50,11],
-        [11,12,38,11],
-        [12,38,39,12],
-        [12,31,39,12],
-        [12,31,70,12],
-        [12,13,70,12],
-        [13,28,70,13],
-        [13,14,28,13],
-        // right eyebrow
-        [14,15,28,14],
-        [15,28,67,15],
-        [15,16,67,15],
-        [16,67,29,16],
-        [16,17,29,16],
-        [17,68,29,17],
-        [17,18,68,17],
-        [18,68,30,18],
-        [18,30,33,18],
-        // below eyes
-        [30,40,69,30],
-        [39,40,69,39],
-        [39,31,69,39],
-        [26,65,35,26],
-        [34,35,65,34],
-        [25,34,65,25],
-        // left eyebrow
-        [22,25,33,22],
-        [22,25,64,22],
-        [21,22,64,21],
-        [21,24,64,21],
-        [20,21,24,20],
-        [20,24,63,20],
-        [19,20,63,19],
-        [19,23,63,19],
-        [19,23,0,19],
-        // below nose
-        [36,45,46,36],
-        [36,42,46,36],
-        [42,37,46,42],
-        [37,46,47,37],
-        [46,37,47,46],
-        [37,47,48,37],
-        [38,48,49,38],
-        [37,43,48,37],
-        [43,38,48,43],
-        [38,49,50,38],
-        // nose region
-        [22,18,33,22],
-        [40,41,30,40],
-        [25,33,41,25],
-        [33,41,30,33],
-        [25,34,41,25],
-        [41,40,62,41],
-        [34,41,62,34],
-        [34,35,62,34],
-        [35,36,62,35],
-        [36,42,62,36],
-        [42,37,62,42],
-        [37,43,62,37],
-        [43,38,62,43],
-        [38,39,62,38],
-        [39,40,62,39],
-        // mouth
-        [44,45,61,44],
-        [45,46,61,45],
-        [46,47,61,46],
-        [47,61,60,47],
-        [47,59,60,47],
-        [47,48,59,47],
-        [48,49,59,48],
-        [49,50,59,49],
-        [50,51,58,50],
-        [51,52,58,51],
-        [52,57,58,52],
-        [52,53,57,52],
-        [53,54,57,53],
-        [54,56,57,54],
-        [54,55,56,54],
-        [44,55,56,44],
-        // left eye
-        [23,63,27,23],
-        [63,24,27,63],
-        [24,64,27,24],
-        [64,25,27,64],
-        [25,65,27,25],
-        [65,26,27,65],
-        [26,66,27,26],
-        [66,23,27,66],
-        // right eye
-        [28,67,32,28],
-        [67,29,32,67],
-        [29,68,32,29],
-        [68,30,32,68],
-        [30,69,32,30],
-        [69,31,32,69],
-        [31,70,32,31],
-        [28,32,70,28]
-      ]
-    },
-    "patchModel": {
-      "patchType": "MOSSE",
-      "weights": [
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-      "nose": [56.997384601005933, 50.86720524009678]
-    }
-  };
-
-  // CommonJS and Node.js module support
-  if (typeof exports !== 'undefined') {
-    // Support Node.js specific `module.exports` (which can be a function)
-    if (typeof module !== 'undefined' && module.exports) {
-      exports = module.exports = pModel;
-    }
-    // But always support CommonJS module 1.1.1 spec (`exports` cannot be a function)
-    exports.pModel = pModel;
-  } else {
-    // No CommonJS or Node.js module support, export to the global (window)
-    global.pModel = pModel;
-  }
-})(this);
diff --git a/js/models/model_pca_10_svm.js b/js/models/model_pca_10_svm.js
deleted file mode 100644
index 3bc47a7..0000000
--- a/js/models/model_pca_10_svm.js
+++ /dev/null
@@ -1,630 +0,0 @@
-(function (global) {
-  'use strict';
-
-  var pModel = {
-    "scoring": {
-      "size": [20, 22],
-      "bias": -1.3970965781063711,
-      "coef": [-0.019443206312618266, -0.0084626551369373984, -0.0056439963412376806, -0.0030632716896851417, 0.0050581938798613096, 0.0038671999692946632, 0.0073781421893252819, 0.008408844556368901, 0.0021079916674897471, 0.0088021517989660455, 0.0084634202851292546, 0.0091341881048755593, 0.0021677708519095705, 0.0057905826022958259, 0.010027042924308791, 0.010018015835686447, 0.011074574130386098, -0.00061695783617744283, -0.0060840083569450205, -0.0094487678808903661, -0.012441209862965338, -0.0038650406223106025, -0.00031049888008515014, 0.003187872856386012, 0.0078183021180926356, 0.010960251877128001, 0.012100913210202307, 0.012289318801648701, 0.012872315936395949, 0.0134197639066574, 0.012863004278393353, 0.012570470005854794, 0.0144288424245574, 0.013339430524005279, 0.013248442014867023, 0.012998181709015256, 0.0080561986303109411, 0.0014670228332206666, -0.011928206846124195, -0.0097909276659884133, -0.019951337591485003, -0.014601516863452837, -0.013174779761633797, -0.0060514903696567476, -0.0010407140556988824, 0.0054650997555345483, 0.010448591237341475, 0.014061216421035866, 0.015918382919452134, 0.016360925963435087, 0.02175676516818845, 0.017301016139781272, 0.014195207612699818, 0.012452400847919372, 0.010454129710215853, 0.0040883019269826832, -0.0014194361456059026, -0.0038498599142176948, -0.010769873280441659, -0.011758097810167857, -0.0046927302624985654, -0.0022134112349382041, -0.0039804434067522172, -0.012186682535867691, -0.011886732829841436, -0.008198434083715244, 0.0028353930104073055, 0.0070820189528775831, 0.012238372017639833, 0.016348014515026394, 0.020980251210150468, 0.01731275318263429, 0.01186526524722499, 0.007237133559106634, 0.0028787582373227981, -0.007467321804467685, -0.012293394385884527, -0.014833951237083715, -0.0083886394867411403, -0.001277206299448029, -0.0043237762267366413, -0.00079995554890789644, -0.0090446939377834615, -0.015715154398522533, -0.016374353020164909, -0.018048467332774626, -0.012034275948581882, -0.0072430439975880896, 0.00051252407841081971, 0.013091943912572559, 0.018570409085074381, 0.013098815816852492, 0.0008591564011330168, -0.0064555113363009954, -0.014574145037132261, -0.018221531408352937, -0.01805986873321162, -0.016665959992610131, -0.016742981997331947, -0.012862200876738698, -0.037408776782215991, -0.026830315322269691, -0.036692867895355551, -0.034788073944897399, -0.021885031967903899, -0.024484660949111742, -0.028068870569776663, -0.018631752402912666, 0.00033862502266578511, 0.01559117928255003, 0.021178968053305464, 0.015184030917486158, 0.002942909802540911, -0.014374637994945122, -0.025568052116952664, -0.025717989966112242, -0.023218559873459776, -0.043064179414035626, -0.042244667490572319, -0.040560989397592062, -0.029282249261991376, -0.037097180414959283, -0.050209371445049687, -0.043175446636272506, -0.038799263945784764, -0.037913350312177137, -0.024596940746816367, -0.013391546719824746, 0.0026176056292311106, 0.0161600431397954, 0.021950494557360537, 0.018824694902420232, 0.006927363884398058, -0.0067099747768306958, -0.018258612142465137, -0.031150030943545643, -0.030987027023796063, -0.033628054995754796, -0.043437053800875543, -0.034534827602693656, -0.0027688241949539527, -0.0045492751804971556, -0.0029637241504820444, -0.0034067004234806259, -0.0058158675916083176, -0.0050003474884839725, -0.0052189027673953392, -0.0035094302696121191, 0.0048075866050476977, 0.015230282965296896, 0.017877023790346995, 0.015060123226282708, 0.0068301148455019063, -0.00074735425779775112, -0.0047129224250249081, -0.0020172475601060438, -0.0028733715759857248, -3.2165259563759688e-05, 0.0052576318460990619, 0.0043528918718454875, 0.016945619656148794, 0.015930900625567117, 0.013751773645422991, 0.010130474427749569, 0.0080480898297084717, 0.0066539674397816983, 0.0068324700348844428, 0.0069577044114707276, 0.0040399129489101342, 0.011715241103133139, 0.017439724961211336, 0.014273924944517397, 0.0061485975492234337, 0.0064501329867605404, 0.0064154824267410098, 0.0087972617488658849, 0.0085371084737999835, 0.0087282112830335563, 0.011782866421798245, 0.016746943082334282, 0.022118218282678175, 0.020835875059091086, 0.018311801034637344, 0.01589801188949137, 0.017833422960512931, 0.01556573659143182, 0.014048773907766661, 0.0092415766206588174, 0.008151842723012729, 0.011230814598071655, 0.01256801671117759, 0.012111623945116202, 0.0098381741274288295, 0.0073611628026903006, 0.0095541157333664112, 0.011727533965135649, 0.018125902932239795, 0.019469248207063541, 0.017398513191690286, 0.021144199041044975, 0.021132145666912093, 0.019499184169656004, 0.019592876054570843, 0.02028149781228069, 0.017450605090846959, 0.01415914728419608, 0.0062290511445100638, 0.0038367364618697264, 0.0070206311493656928, 0.0096561161467108754, 0.011406409148288063, 0.0073273774756050288, 0.0046725824974188255, 0.0052535602992445293, 0.00018758422847375771, 0.0081523629612461953, 0.012760089024104778, 0.021600004613459223, 0.02330330354276354, 0.023745752734397885, 0.018230549428489853, 0.020013388637927079, 0.019842171101705101, 0.018799688221643948, 0.010638029835974899, 0.00047497591850582786, -0.0071779359181283857, -0.0013492660142831474, 0.0015382005340972228, 0.0026091901041104195, 0.00054046824549715592, -0.00049664221846118756, -0.0004620349686195485, -0.0052440228766081143, -0.0052152354482096451, -0.010002649985436339, 0.0014386382744505852, 0.012845063185194877, 0.020827676960957435, 0.02373841052172394, 0.015716685713465389, 0.01638066669873605, 0.014902611437895159, 0.0073730357797861029, 0.0019356373041797752, -0.0061999712321189927, -0.0091165414771389678, -0.008810991502401562, -0.014849548271736901, -0.002088752298238026, 0.0052140970488441726, 0.0010527273675475608, -0.010321625138183299, -0.016207678046552692, -0.012439252596672909, -0.013087206027715756, -0.0027969969285832111, 0.0023632017053047227, 0.011157492323637063, 0.018368837091378775, 0.009522424063657664, 0.010552085697652452, 0.0065611074700353111, -0.0015314856230301123, -0.0032492038209889869, -0.0031329857351426339, -0.0009277374824954263, -0.0020968871213430215, -0.002752601764726735, 0.00094388371290420677, 5.9164336949845309e-05, -0.0017254679888374039, -0.0034420772687673035, -0.0045773609585904318, -0.0025304599008137956, -0.00038215561598060812, 0.00057078584536244593, 0.0031325966195568239, 0.0060237831417333659, 0.01158476991744758, 0.0016262584963572593, 0.0032288122743198387, 0.0012532877511827127, 0.00062747794288786391, 0.0023766730707680218, 0.0028182202873619686, 0.0023771129569157626, -0.0033402786707182365, -0.0048954226369167918, 0.0030746977489523515, 0.0062648590670420657, 0.0050231159304044643, 0.00044657525636142406, -0.0048270904988737106, -0.0040237200076292511, 0.0024988183457590458, 0.0054580394659512529, 0.0072880311920233637, 0.0036009634090189563, 0.010569246292394684, -0.0045836905885612515, 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-0.015804998363084376, -0.016267691007421516, -0.018900936626522147, -0.017659450320792951, -0.011812605534381678, -0.0034436129735933847, -0.0023483321715621502, -0.0050111463464252073, -0.0050922386240516513, -0.015030789874247219, -0.020198024497642013, -0.021620507739756673, -0.018586140603325793, -0.018723839025246693, -0.0055722698499209482, 0.0064480458300502788, 0.0026822651632485931, 0.0060010017569890623, 0.0039986244661379938, 0.0050813259426419084, -0.0059114072323689293, -0.027745788024718613, -0.029251292823436387, -0.023066523347947315, -0.017210413752997977, -0.015963112589643183, -0.021075188283476324, -0.023666705491108494, -0.020005598090990763, -0.019062969033403668, -0.017792117192348619, -0.025322677372927888, -0.020971240352056199, -0.003436645553932082, 0.0043350896839554273, 0.0084557183627534376, -0.0063213373221792614, -0.0012841346959162978, -0.0012350140140767124, 0.004020967306281667, 0.0092274867614143326, 0.0045264965008091395, 0.0041315898134410677, 0.00077108445452623935, 0.0017580819918377949, -0.0011577021001876594, -0.0036195352433658614, -0.0037319908665914719, -0.001666179302724247, 0.0031110879435167255, 0.0014906582671670387, 0.0048443015054418677, 0.0059990829294203933, 0.0084750979219295353, 0.0055827168912293912, 0.0025145315352065756, -0.0046319230006191276, -0.0076182514283882324, -0.0046593775053102001, -0.0031253513278243637, 0.0074653367528114828, 0.010125926733440484, 0.0094747053616804754, 0.0035657571954442512, 0.0057833695060832482, 0.003888133034710705, 0.0019960148005530504, 0.0015056031401225207, 0.0011132050024144288, 0.0054876547928768482, 0.0047365733649033419, 0.0072106350627162141, 0.010077746417547511, 0.0038570243972044947, -0.003118757327733293, 8.694979275512165e-05, -0.021441387266543339, -0.0072102976069877674, -0.0078359058223554552, -0.00594066743311885, -0.0016100298225058601, 0.0053450064816458259, 0.0071049496578081076, 0.010196875445129471, 0.0057577873293374569, 0.0074570800047582559, 0.0062731053175082022, 0.0076242083673520502, 0.0068436930933054993, 0.0070021422399430639, 0.0087250840640590785, 0.0089995789681808595, 0.0034314447644411355, -0.001989159567628072, -0.007896602411841893, -0.010924672368545567]
-    },
-    "path": {
-      "normal": [
-        [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14],
-        [15, 16, 17, 18],
-        [19, 20, 21, 22],
-        [23, 63, 24, 64, 25, 65, 26, 66, 23],
-        [28, 67, 29, 68, 30, 69, 31, 70, 28],
-        [34, 35, 36, 42, 37, 43, 38, 39, 40],
-        [33, 41, 62],
-        [44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 44, 56, 57, 58, 50, 59, 60, 61, 44],
-        27, 32
-      ],
-      "vertices": [
-        // jawline
-        [0,1,23,0],
-        [1,23,66,1],
-        [1,2,66,1],
-        [2,66,26,2],
-        [2,26,35,2],
-        [2,35,36,2],
-        [2,36,3,2],
-        [36,44,45,36],
-        [3,4,44,3],
-        [3,44,36,3],
-        [4,44,55,4],
-        [4,5,55,4],
-        [5,55,54,5],
-        [5,6,54,5],
-        [6,53,54,6],
-        [6,7,53,6],
-        [7,8,53,7],
-        [8,52,53,8],
-        [8,9,52,8],
-        [9,51,52,9],
-        [9,10,51,9],
-        [10,50,51,10],
-        [10,11,50,10],
-        [11,38,50,11],
-        [11,12,38,11],
-        [12,38,39,12],
-        [12,31,39,12],
-        [12,31,70,12],
-        [12,13,70,12],
-        [13,28,70,13],
-        [13,14,28,13],
-        // right eyebrow
-        [14,15,28,14],
-        [15,28,67,15],
-        [15,16,67,15],
-        [16,67,29,16],
-        [16,17,29,16],
-        [17,68,29,17],
-        [17,18,68,17],
-        [18,68,30,18],
-        [18,30,33,18],
-        // below eyes
-        [30,40,69,30],
-        [39,40,69,39],
-        [39,31,69,39],
-        [26,65,35,26],
-        [34,35,65,34],
-        [25,34,65,25],
-        // left eyebrow
-        [22,25,33,22],
-        [22,25,64,22],
-        [21,22,64,21],
-        [21,24,64,21],
-        [20,21,24,20],
-        [20,24,63,20],
-        [19,20,63,19],
-        [19,23,63,19],
-        [19,23,0,19],
-        // below nose
-        [36,45,46,36],
-        [36,42,46,36],
-        [42,37,46,42],
-        [37,46,47,37],
-        [46,37,47,46],
-        [37,47,48,37],
-        [38,48,49,38],
-        [37,43,48,37],
-        [43,38,48,43],
-        [38,49,50,38],
-        // nose region
-        [22,18,33,22],
-        [40,41,30,40],
-        [25,33,41,25],
-        [33,41,30,33],
-        [25,34,41,25],
-        [41,40,62,41],
-        [34,41,62,34],
-        [34,35,62,34],
-        [35,36,62,35],
-        [36,42,62,36],
-        [42,37,62,42],
-        [37,43,62,37],
-        [43,38,62,43],
-        [38,39,62,38],
-        [39,40,62,39],
-        // mouth
-        [44,45,61,44],
-        [45,46,61,45],
-        [46,47,61,46],
-        [47,61,60,47],
-        [47,59,60,47],
-        [47,48,59,47],
-        [48,49,59,48],
-        [49,50,59,49],
-        [50,51,58,50],
-        [51,52,58,51],
-        [52,57,58,52],
-        [52,53,57,52],
-        [53,54,57,53],
-        [54,56,57,54],
-        [54,55,56,54],
-        [44,55,56,44],
-        // left eye
-        [23,63,27,23],
-        [63,24,27,63],
-        [24,64,27,24],
-        [64,25,27,64],
-        [25,65,27,25],
-        [65,26,27,65],
-        [26,66,27,26],
-        [66,23,27,66],
-        // right eye
-        [28,67,32,28],
-        [67,29,32,67],
-        [29,68,32,29],
-        [68,30,32,68],
-        [30,69,32,30],
-        [69,31,32,69],
-        [31,70,32,31],
-        [28,32,70,28]
-      ]
-    },
-    "patchModel": {
-      "patchType": "SVM",
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-  // CommonJS and Node.js module support
-  if (typeof exports !== 'undefined') {
-    // Support Node.js specific `module.exports` (which can be a function)
-    if (typeof module !== 'undefined' && module.exports) {
-      exports = module.exports = pModel;
-    }
-    // But always support CommonJS module 1.1.1 spec (`exports` cannot be a function)
-    exports.pModel = pModel;
-  } else {
-    // No CommonJS or Node.js module support, export to the global (window)
-    global.pModel = pModel;
-  }
-})(this);
diff --git a/js/models/model_pca_20_mosse.js b/js/models/model_pca_20_mosse.js
deleted file mode 100644
index d343d97..0000000
--- a/js/models/model_pca_20_mosse.js
+++ /dev/null
@@ -1,701 +0,0 @@
-(function (global) {
-  'use strict';
-
-  var pModel = {
-    "scoring": {
-      "size": [20, 22],
-      "bias": -1.3970965781063711,
-      "coef": [-0.019443206312618266, -0.0084626551369373984, -0.0056439963412376806, -0.0030632716896851417, 0.0050581938798613096, 0.0038671999692946632, 0.0073781421893252819, 0.008408844556368901, 0.0021079916674897471, 0.0088021517989660455, 0.0084634202851292546, 0.0091341881048755593, 0.0021677708519095705, 0.0057905826022958259, 0.010027042924308791, 0.010018015835686447, 0.011074574130386098, -0.00061695783617744283, -0.0060840083569450205, -0.0094487678808903661, -0.012441209862965338, -0.0038650406223106025, -0.00031049888008515014, 0.003187872856386012, 0.0078183021180926356, 0.010960251877128001, 0.012100913210202307, 0.012289318801648701, 0.012872315936395949, 0.0134197639066574, 0.012863004278393353, 0.012570470005854794, 0.0144288424245574, 0.013339430524005279, 0.013248442014867023, 0.012998181709015256, 0.0080561986303109411, 0.0014670228332206666, -0.011928206846124195, -0.0097909276659884133, -0.019951337591485003, -0.014601516863452837, -0.013174779761633797, 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-    },
-    "path": {
-      "normal": [
-        [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14],
-        [15, 16, 17, 18],
-        [19, 20, 21, 22],
-        [23, 63, 24, 64, 25, 65, 26, 66, 23],
-        [28, 67, 29, 68, 30, 69, 31, 70, 28],
-        [34, 35, 36, 42, 37, 43, 38, 39, 40],
-        [33, 41, 62],
-        [44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 44, 56, 57, 58, 50, 59, 60, 61, 44],
-        27, 32
-      ],
-      "vertices": [
-        // jawline
-        [0,1,23,0],
-        [1,23,66,1],
-        [1,2,66,1],
-        [2,66,26,2],
-        [2,26,35,2],
-        [2,35,36,2],
-        [2,36,3,2],
-        [36,44,45,36],
-        [3,4,44,3],
-        [3,44,36,3],
-        [4,44,55,4],
-        [4,5,55,4],
-        [5,55,54,5],
-        [5,6,54,5],
-        [6,53,54,6],
-        [6,7,53,6],
-        [7,8,53,7],
-        [8,52,53,8],
-        [8,9,52,8],
-        [9,51,52,9],
-        [9,10,51,9],
-        [10,50,51,10],
-        [10,11,50,10],
-        [11,38,50,11],
-        [11,12,38,11],
-        [12,38,39,12],
-        [12,31,39,12],
-        [12,31,70,12],
-        [12,13,70,12],
-        [13,28,70,13],
-        [13,14,28,13],
-        // right eyebrow
-        [14,15,28,14],
-        [15,28,67,15],
-        [15,16,67,15],
-        [16,67,29,16],
-        [16,17,29,16],
-        [17,68,29,17],
-        [17,18,68,17],
-        [18,68,30,18],
-        [18,30,33,18],
-        // below eyes
-        [30,40,69,30],
-        [39,40,69,39],
-        [39,31,69,39],
-        [26,65,35,26],
-        [34,35,65,34],
-        [25,34,65,25],
-        // left eyebrow
-        [22,25,33,22],
-        [22,25,64,22],
-        [21,22,64,21],
-        [21,24,64,21],
-        [20,21,24,20],
-        [20,24,63,20],
-        [19,20,63,19],
-        [19,23,63,19],
-        [19,23,0,19],
-        // below nose
-        [36,45,46,36],
-        [36,42,46,36],
-        [42,37,46,42],
-        [37,46,47,37],
-        [46,37,47,46],
-        [37,47,48,37],
-        [38,48,49,38],
-        [37,43,48,37],
-        [43,38,48,43],
-        [38,49,50,38],
-        // nose region
-        [22,18,33,22],
-        [40,41,30,40],
-        [25,33,41,25],
-        [33,41,30,33],
-        [25,34,41,25],
-        [41,40,62,41],
-        [34,41,62,34],
-        [34,35,62,34],
-        [35,36,62,35],
-        [36,42,62,36],
-        [42,37,62,42],
-        [37,43,62,37],
-        [43,38,62,43],
-        [38,39,62,38],
-        [39,40,62,39],
-        // mouth
-        [44,45,61,44],
-        [45,46,61,45],
-        [46,47,61,46],
-        [47,61,60,47],
-        [47,59,60,47],
-        [47,48,59,47],
-        [48,49,59,48],
-        [49,50,59,49],
-        [50,51,58,50],
-        [51,52,58,51],
-        [52,57,58,52],
-        [52,53,57,52],
-        [53,54,57,53],
-        [54,56,57,54],
-        [54,55,56,54],
-        [44,55,56,44],
-        // left eye
-        [23,63,27,23],
-        [63,24,27,63],
-        [24,64,27,24],
-        [64,25,27,64],
-        [25,65,27,25],
-        [65,26,27,65],
-        [26,66,27,26],
-        [66,23,27,66],
-        // right eye
-        [28,67,32,28],
-        [67,29,32,67],
-        [29,68,32,29],
-        [68,30,32,68],
-        [30,69,32,30],
-        [69,31,32,69],
-        [31,70,32,31],
-        [28,32,70,28]
-      ]
-    },
-    "patchModel": {
-      "patchType": "MOSSE",
-      "weights": [
-        [
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-        [50.07251572822895, 55.035267306968535],
-        [57.101339593814998, 56.145435575714828],
-        [64.081000008569561, 54.759369555253215],
-        [66.565969098022094, 51.394645712515057],
-        [63.640714233003223, 46.676268118194287],
-        [56.826129496946521, 42.171866411747999],
-        [52.142251303692888, 53.25579760946124],
-        [61.942803190976235, 53.062775282622852],
-        [45.090870407180603, 66.45744111296608],
-        [49.30691311256561, 63.535961653371373],
-        [54.022310354591866, 62.360055474188812],
-        [57.235786373192525, 62.971861611246879],
-        [60.422680620195308, 62.233999883085119],
-        [65.180722218119797, 63.223326242164035],
-        [69.508528157121361, 65.976534203943174],
-        [66.692952911540658, 69.861040892668086],
-        [62.796902525468738, 72.430437387210816],
-        [57.438793685614598, 73.279393032509802],
-        [52.051412524023078, 72.642070314310331],
-        [48.057213957229465, 70.228072641153915],
-        [51.312826281003822, 68.334857344858165],
-        [57.355342381712035, 69.042220849614353],
-        [63.365320267430491, 68.097482913273097],
-        [63.302666508653772, 65.1057867536814],
-        [57.283082963456252, 65.373307571221233],
-        [51.257633954541575, 65.343014232008443],
-        [56.997384601005933, 50.86720524009678],
-        [38.345016967805378, 33.379866011204456],
-        [45.43217757469057, 33.213084051757619],
-        [45.102977179460538, 36.387811845290685],
-        [38.616928471611573, 36.562115185290565],
-        [74.946726694421386, 32.658993629837994],
-        [67.858495092410578, 32.771396681549788],
-        [68.312444531975871, 35.930700302534717],
-        [74.800326543573135, 35.849481471486683]
-      ]
-    },
-    "hints": {
-      "rightEye": [71.382163563407005, 34.031264828125074],
-      "leftEye": [41.960848751111143, 34.61071899652552],
-      "nose": [56.997384601005933, 50.86720524009678]
-    }
-  };
-
-  // CommonJS and Node.js module support
-  if (typeof exports !== 'undefined') {
-    // Support Node.js specific `module.exports` (which can be a function)
-    if (typeof module !== 'undefined' && module.exports) {
-      exports = module.exports = pModel;
-    }
-    // But always support CommonJS module 1.1.1 spec (`exports` cannot be a function)
-    exports.pModel = pModel;
-  } else {
-    // No CommonJS or Node.js module support, export to the global (window)
-    global.pModel = pModel;
-  }
-})(this);
diff --git a/js/models/model_pca_20_svm.js b/js/models/model_pca_20_svm.js
deleted file mode 100644
index 0ab4fc8..0000000
--- a/js/models/model_pca_20_svm.js
+++ /dev/null
@@ -1,640 +0,0 @@
-(function (global) {
-  'use strict';
-
-  var pModel = {
-    "scoring": {
-      "size": [20, 22],
-      "bias": -1.3970965781063711,
-      "coef": [-0.019443206312618266, -0.0084626551369373984, -0.0056439963412376806, -0.0030632716896851417, 0.0050581938798613096, 0.0038671999692946632, 0.0073781421893252819, 0.008408844556368901, 0.0021079916674897471, 0.0088021517989660455, 0.0084634202851292546, 0.0091341881048755593, 0.0021677708519095705, 0.0057905826022958259, 0.010027042924308791, 0.010018015835686447, 0.011074574130386098, -0.00061695783617744283, -0.0060840083569450205, -0.0094487678808903661, -0.012441209862965338, -0.0038650406223106025, -0.00031049888008515014, 0.003187872856386012, 0.0078183021180926356, 0.010960251877128001, 0.012100913210202307, 0.012289318801648701, 0.012872315936395949, 0.0134197639066574, 0.012863004278393353, 0.012570470005854794, 0.0144288424245574, 0.013339430524005279, 0.013248442014867023, 0.012998181709015256, 0.0080561986303109411, 0.0014670228332206666, -0.011928206846124195, -0.0097909276659884133, -0.019951337591485003, -0.014601516863452837, -0.013174779761633797, -0.0060514903696567476, -0.0010407140556988824, 0.0054650997555345483, 0.010448591237341475, 0.014061216421035866, 0.015918382919452134, 0.016360925963435087, 0.02175676516818845, 0.017301016139781272, 0.014195207612699818, 0.012452400847919372, 0.010454129710215853, 0.0040883019269826832, -0.0014194361456059026, -0.0038498599142176948, -0.010769873280441659, -0.011758097810167857, -0.0046927302624985654, -0.0022134112349382041, -0.0039804434067522172, -0.012186682535867691, -0.011886732829841436, -0.008198434083715244, 0.0028353930104073055, 0.0070820189528775831, 0.012238372017639833, 0.016348014515026394, 0.020980251210150468, 0.01731275318263429, 0.01186526524722499, 0.007237133559106634, 0.0028787582373227981, -0.007467321804467685, -0.012293394385884527, -0.014833951237083715, -0.0083886394867411403, -0.001277206299448029, -0.0043237762267366413, -0.00079995554890789644, -0.0090446939377834615, -0.015715154398522533, -0.016374353020164909, -0.018048467332774626, -0.012034275948581882, -0.0072430439975880896, 0.00051252407841081971, 0.013091943912572559, 0.018570409085074381, 0.013098815816852492, 0.0008591564011330168, -0.0064555113363009954, -0.014574145037132261, -0.018221531408352937, -0.01805986873321162, -0.016665959992610131, -0.016742981997331947, -0.012862200876738698, -0.037408776782215991, -0.026830315322269691, -0.036692867895355551, -0.034788073944897399, -0.021885031967903899, -0.024484660949111742, -0.028068870569776663, -0.018631752402912666, 0.00033862502266578511, 0.01559117928255003, 0.021178968053305464, 0.015184030917486158, 0.002942909802540911, -0.014374637994945122, -0.025568052116952664, -0.025717989966112242, -0.023218559873459776, -0.043064179414035626, -0.042244667490572319, -0.040560989397592062, -0.029282249261991376, -0.037097180414959283, -0.050209371445049687, -0.043175446636272506, -0.038799263945784764, -0.037913350312177137, -0.024596940746816367, -0.013391546719824746, 0.0026176056292311106, 0.0161600431397954, 0.021950494557360537, 0.018824694902420232, 0.006927363884398058, -0.0067099747768306958, -0.018258612142465137, -0.031150030943545643, -0.030987027023796063, -0.033628054995754796, -0.043437053800875543, -0.034534827602693656, -0.0027688241949539527, -0.0045492751804971556, -0.0029637241504820444, -0.0034067004234806259, -0.0058158675916083176, -0.0050003474884839725, -0.0052189027673953392, -0.0035094302696121191, 0.0048075866050476977, 0.015230282965296896, 0.017877023790346995, 0.015060123226282708, 0.0068301148455019063, -0.00074735425779775112, -0.0047129224250249081, -0.0020172475601060438, -0.0028733715759857248, -3.2165259563759688e-05, 0.0052576318460990619, 0.0043528918718454875, 0.016945619656148794, 0.015930900625567117, 0.013751773645422991, 0.010130474427749569, 0.0080480898297084717, 0.0066539674397816983, 0.0068324700348844428, 0.0069577044114707276, 0.0040399129489101342, 0.011715241103133139, 0.017439724961211336, 0.014273924944517397, 0.0061485975492234337, 0.0064501329867605404, 0.0064154824267410098, 0.0087972617488658849, 0.0085371084737999835, 0.0087282112830335563, 0.011782866421798245, 0.016746943082334282, 0.022118218282678175, 0.020835875059091086, 0.018311801034637344, 0.01589801188949137, 0.017833422960512931, 0.01556573659143182, 0.014048773907766661, 0.0092415766206588174, 0.008151842723012729, 0.011230814598071655, 0.01256801671117759, 0.012111623945116202, 0.0098381741274288295, 0.0073611628026903006, 0.0095541157333664112, 0.011727533965135649, 0.018125902932239795, 0.019469248207063541, 0.017398513191690286, 0.021144199041044975, 0.021132145666912093, 0.019499184169656004, 0.019592876054570843, 0.02028149781228069, 0.017450605090846959, 0.01415914728419608, 0.0062290511445100638, 0.0038367364618697264, 0.0070206311493656928, 0.0096561161467108754, 0.011406409148288063, 0.0073273774756050288, 0.0046725824974188255, 0.0052535602992445293, 0.00018758422847375771, 0.0081523629612461953, 0.012760089024104778, 0.021600004613459223, 0.02330330354276354, 0.023745752734397885, 0.018230549428489853, 0.020013388637927079, 0.019842171101705101, 0.018799688221643948, 0.010638029835974899, 0.00047497591850582786, -0.0071779359181283857, -0.0013492660142831474, 0.0015382005340972228, 0.0026091901041104195, 0.00054046824549715592, -0.00049664221846118756, -0.0004620349686195485, -0.0052440228766081143, -0.0052152354482096451, -0.010002649985436339, 0.0014386382744505852, 0.012845063185194877, 0.020827676960957435, 0.02373841052172394, 0.015716685713465389, 0.01638066669873605, 0.014902611437895159, 0.0073730357797861029, 0.0019356373041797752, -0.0061999712321189927, -0.0091165414771389678, -0.008810991502401562, -0.014849548271736901, -0.002088752298238026, 0.0052140970488441726, 0.0010527273675475608, -0.010321625138183299, -0.016207678046552692, -0.012439252596672909, -0.013087206027715756, -0.0027969969285832111, 0.0023632017053047227, 0.011157492323637063, 0.018368837091378775, 0.009522424063657664, 0.010552085697652452, 0.0065611074700353111, -0.0015314856230301123, -0.0032492038209889869, -0.0031329857351426339, -0.0009277374824954263, -0.0020968871213430215, -0.002752601764726735, 0.00094388371290420677, 5.9164336949845309e-05, -0.0017254679888374039, -0.0034420772687673035, -0.0045773609585904318, -0.0025304599008137956, -0.00038215561598060812, 0.00057078584536244593, 0.0031325966195568239, 0.0060237831417333659, 0.01158476991744758, 0.0016262584963572593, 0.0032288122743198387, 0.0012532877511827127, 0.00062747794288786391, 0.0023766730707680218, 0.0028182202873619686, 0.0023771129569157626, -0.0033402786707182365, -0.0048954226369167918, 0.0030746977489523515, 0.0062648590670420657, 0.0050231159304044643, 0.00044657525636142406, -0.0048270904988737106, -0.0040237200076292511, 0.0024988183457590458, 0.0054580394659512529, 0.0072880311920233637, 0.0036009634090189563, 0.010569246292394684, -0.0045836905885612515, 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-0.015804998363084376, -0.016267691007421516, -0.018900936626522147, -0.017659450320792951, -0.011812605534381678, -0.0034436129735933847, -0.0023483321715621502, -0.0050111463464252073, -0.0050922386240516513, -0.015030789874247219, -0.020198024497642013, -0.021620507739756673, -0.018586140603325793, -0.018723839025246693, -0.0055722698499209482, 0.0064480458300502788, 0.0026822651632485931, 0.0060010017569890623, 0.0039986244661379938, 0.0050813259426419084, -0.0059114072323689293, -0.027745788024718613, -0.029251292823436387, -0.023066523347947315, -0.017210413752997977, -0.015963112589643183, -0.021075188283476324, -0.023666705491108494, -0.020005598090990763, -0.019062969033403668, -0.017792117192348619, -0.025322677372927888, -0.020971240352056199, -0.003436645553932082, 0.0043350896839554273, 0.0084557183627534376, -0.0063213373221792614, -0.0012841346959162978, -0.0012350140140767124, 0.004020967306281667, 0.0092274867614143326, 0.0045264965008091395, 0.0041315898134410677, 0.00077108445452623935, 0.0017580819918377949, -0.0011577021001876594, -0.0036195352433658614, -0.0037319908665914719, -0.001666179302724247, 0.0031110879435167255, 0.0014906582671670387, 0.0048443015054418677, 0.0059990829294203933, 0.0084750979219295353, 0.0055827168912293912, 0.0025145315352065756, -0.0046319230006191276, -0.0076182514283882324, -0.0046593775053102001, -0.0031253513278243637, 0.0074653367528114828, 0.010125926733440484, 0.0094747053616804754, 0.0035657571954442512, 0.0057833695060832482, 0.003888133034710705, 0.0019960148005530504, 0.0015056031401225207, 0.0011132050024144288, 0.0054876547928768482, 0.0047365733649033419, 0.0072106350627162141, 0.010077746417547511, 0.0038570243972044947, -0.003118757327733293, 8.694979275512165e-05, -0.021441387266543339, -0.0072102976069877674, -0.0078359058223554552, -0.00594066743311885, -0.0016100298225058601, 0.0053450064816458259, 0.0071049496578081076, 0.010196875445129471, 0.0057577873293374569, 0.0074570800047582559, 0.0062731053175082022, 0.0076242083673520502, 0.0068436930933054993, 0.0070021422399430639, 0.0087250840640590785, 0.0089995789681808595, 0.0034314447644411355, -0.001989159567628072, -0.007896602411841893, -0.010924672368545567]
-    },
-    "path": {
-      "normal": [
-        [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14],
-        [15, 16, 17, 18],
-        [19, 20, 21, 22],
-        [23, 63, 24, 64, 25, 65, 26, 66, 23],
-        [28, 67, 29, 68, 30, 69, 31, 70, 28],
-        [34, 35, 36, 42, 37, 43, 38, 39, 40],
-        [33, 41, 62],
-        [44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 44, 56, 57, 58, 50, 59, 60, 61, 44],
-        27, 32
-      ],
-      "vertices": [
-        // jawline
-        [0,1,23,0],
-        [1,23,66,1],
-        [1,2,66,1],
-        [2,66,26,2],
-        [2,26,35,2],
-        [2,35,36,2],
-        [2,36,3,2],
-        [36,44,45,36],
-        [3,4,44,3],
-        [3,44,36,3],
-        [4,44,55,4],
-        [4,5,55,4],
-        [5,55,54,5],
-        [5,6,54,5],
-        [6,53,54,6],
-        [6,7,53,6],
-        [7,8,53,7],
-        [8,52,53,8],
-        [8,9,52,8],
-        [9,51,52,9],
-        [9,10,51,9],
-        [10,50,51,10],
-        [10,11,50,10],
-        [11,38,50,11],
-        [11,12,38,11],
-        [12,38,39,12],
-        [12,31,39,12],
-        [12,31,70,12],
-        [12,13,70,12],
-        [13,28,70,13],
-        [13,14,28,13],
-        // right eyebrow
-        [14,15,28,14],
-        [15,28,67,15],
-        [15,16,67,15],
-        [16,67,29,16],
-        [16,17,29,16],
-        [17,68,29,17],
-        [17,18,68,17],
-        [18,68,30,18],
-        [18,30,33,18],
-        // below eyes
-        [30,40,69,30],
-        [39,40,69,39],
-        [39,31,69,39],
-        [26,65,35,26],
-        [34,35,65,34],
-        [25,34,65,25],
-        // left eyebrow
-        [22,25,33,22],
-        [22,25,64,22],
-        [21,22,64,21],
-        [21,24,64,21],
-        [20,21,24,20],
-        [20,24,63,20],
-        [19,20,63,19],
-        [19,23,63,19],
-        [19,23,0,19],
-        // below nose
-        [36,45,46,36],
-        [36,42,46,36],
-        [42,37,46,42],
-        [37,46,47,37],
-        [46,37,47,46],
-        [37,47,48,37],
-        [38,48,49,38],
-        [37,43,48,37],
-        [43,38,48,43],
-        [38,49,50,38],
-        // nose region
-        [22,18,33,22],
-        [40,41,30,40],
-        [25,33,41,25],
-        [33,41,30,33],
-        [25,34,41,25],
-        [41,40,62,41],
-        [34,41,62,34],
-        [34,35,62,34],
-        [35,36,62,35],
-        [36,42,62,36],
-        [42,37,62,42],
-        [37,43,62,37],
-        [43,38,62,43],
-        [38,39,62,38],
-        [39,40,62,39],
-        // mouth
-        [44,45,61,44],
-        [45,46,61,45],
-        [46,47,61,46],
-        [47,61,60,47],
-        [47,59,60,47],
-        [47,48,59,47],
-        [48,49,59,48],
-        [49,50,59,49],
-        [50,51,58,50],
-        [51,52,58,51],
-        [52,57,58,52],
-        [52,53,57,52],
-        [53,54,57,53],
-        [54,56,57,54],
-        [54,55,56,54],
-        [44,55,56,44],
-        // left eye
-        [23,63,27,23],
-        [63,24,27,63],
-        [24,64,27,24],
-        [64,25,27,64],
-        [25,65,27,25],
-        [65,26,27,65],
-        [26,66,27,26],
-        [66,23,27,66],
-        // right eye
-        [28,67,32,28],
-        [67,29,32,67],
-        [29,68,32,29],
-        [68,30,32,68],
-        [30,69,32,30],
-        [69,31,32,69],
-        [31,70,32,31],
-        [28,32,70,28]
-      ]
-    },
-    "patchModel": {
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-        [49.30691311256561, 63.535961653371373],
-        [54.022310354591866, 62.360055474188812],
-        [57.235786373192525, 62.971861611246879],
-        [60.422680620195308, 62.233999883085119],
-        [65.180722218119797, 63.223326242164035],
-        [69.508528157121361, 65.976534203943174],
-        [66.692952911540658, 69.861040892668086],
-        [62.796902525468738, 72.430437387210816],
-        [57.438793685614598, 73.279393032509802],
-        [52.051412524023078, 72.642070314310331],
-        [48.057213957229465, 70.228072641153915],
-        [51.312826281003822, 68.334857344858165],
-        [57.355342381712035, 69.042220849614353],
-        [63.365320267430491, 68.097482913273097],
-        [63.302666508653772, 65.1057867536814],
-        [57.283082963456252, 65.373307571221233],
-        [51.257633954541575, 65.343014232008443],
-        [56.997384601005933, 50.86720524009678],
-        [38.345016967805378, 33.379866011204456],
-        [45.43217757469057, 33.213084051757619],
-        [45.102977179460538, 36.387811845290685],
-        [38.616928471611573, 36.562115185290565],
-        [74.946726694421386, 32.658993629837994],
-        [67.858495092410578, 32.771396681549788],
-        [68.312444531975871, 35.930700302534717],
-        [74.800326543573135, 35.849481471486683]
-      ]
-    },
-    "hints": {
-      "rightEye": [71.382163563407005, 34.031264828125074],
-      "leftEye": [41.960848751111143, 34.61071899652552],
-      "nose": [56.997384601005933, 50.86720524009678]
-    }
-  };
-
-  // CommonJS and Node.js module support
-  if (typeof exports !== 'undefined') {
-    // Support Node.js specific `module.exports` (which can be a function)
-    if (typeof module !== 'undefined' && module.exports) {
-      exports = module.exports = pModel;
-    }
-    // But always support CommonJS module 1.1.1 spec (`exports` cannot be a function)
-    exports.pModel = pModel;
-  } else {
-    // No CommonJS or Node.js module support, export to the global (window)
-    global.pModel = pModel;
-  }
-})(this);
diff --git a/js/models/model_spca_10_svm.js b/js/models/model_spca_10_svm.js
deleted file mode 100644
index 2696dae..0000000
--- a/js/models/model_spca_10_svm.js
+++ /dev/null
@@ -1,633 +0,0 @@
-(function (global){
-  'use strict';
-
-  var pModel = {
-    "scoring": {
-      "size": [20, 22],
-      "bias": -1.3970965781063711,
-      "coef": [-0.019443206312618266, -0.0084626551369373984, -0.0056439963412376806, -0.0030632716896851417, 0.0050581938798613096, 0.0038671999692946632, 0.0073781421893252819, 0.008408844556368901, 0.0021079916674897471, 0.0088021517989660455, 0.0084634202851292546, 0.0091341881048755593, 0.0021677708519095705, 0.0057905826022958259, 0.010027042924308791, 0.010018015835686447, 0.011074574130386098, -0.00061695783617744283, -0.0060840083569450205, -0.0094487678808903661, -0.012441209862965338, -0.0038650406223106025, -0.00031049888008515014, 0.003187872856386012, 0.0078183021180926356, 0.010960251877128001, 0.012100913210202307, 0.012289318801648701, 0.012872315936395949, 0.0134197639066574, 0.012863004278393353, 0.012570470005854794, 0.0144288424245574, 0.013339430524005279, 0.013248442014867023, 0.012998181709015256, 0.0080561986303109411, 0.0014670228332206666, -0.011928206846124195, -0.0097909276659884133, -0.019951337591485003, -0.014601516863452837, -0.013174779761633797, -0.0060514903696567476, -0.0010407140556988824, 0.0054650997555345483, 0.010448591237341475, 0.014061216421035866, 0.015918382919452134, 0.016360925963435087, 0.02175676516818845, 0.017301016139781272, 0.014195207612699818, 0.012452400847919372, 0.010454129710215853, 0.0040883019269826832, -0.0014194361456059026, -0.0038498599142176948, -0.010769873280441659, -0.011758097810167857, -0.0046927302624985654, -0.0022134112349382041, -0.0039804434067522172, -0.012186682535867691, -0.011886732829841436, -0.008198434083715244, 0.0028353930104073055, 0.0070820189528775831, 0.012238372017639833, 0.016348014515026394, 0.020980251210150468, 0.01731275318263429, 0.01186526524722499, 0.007237133559106634, 0.0028787582373227981, -0.007467321804467685, -0.012293394385884527, -0.014833951237083715, -0.0083886394867411403, -0.001277206299448029, -0.0043237762267366413, -0.00079995554890789644, -0.0090446939377834615, -0.015715154398522533, -0.016374353020164909, -0.018048467332774626, -0.012034275948581882, -0.0072430439975880896, 0.00051252407841081971, 0.013091943912572559, 0.018570409085074381, 0.013098815816852492, 0.0008591564011330168, -0.0064555113363009954, -0.014574145037132261, -0.018221531408352937, -0.01805986873321162, -0.016665959992610131, -0.016742981997331947, -0.012862200876738698, -0.037408776782215991, -0.026830315322269691, -0.036692867895355551, -0.034788073944897399, -0.021885031967903899, -0.024484660949111742, -0.028068870569776663, -0.018631752402912666, 0.00033862502266578511, 0.01559117928255003, 0.021178968053305464, 0.015184030917486158, 0.002942909802540911, -0.014374637994945122, -0.025568052116952664, -0.025717989966112242, -0.023218559873459776, -0.043064179414035626, -0.042244667490572319, -0.040560989397592062, -0.029282249261991376, -0.037097180414959283, -0.050209371445049687, -0.043175446636272506, -0.038799263945784764, -0.037913350312177137, -0.024596940746816367, -0.013391546719824746, 0.0026176056292311106, 0.0161600431397954, 0.021950494557360537, 0.018824694902420232, 0.006927363884398058, -0.0067099747768306958, -0.018258612142465137, -0.031150030943545643, -0.030987027023796063, -0.033628054995754796, -0.043437053800875543, -0.034534827602693656, -0.0027688241949539527, -0.0045492751804971556, -0.0029637241504820444, -0.0034067004234806259, -0.0058158675916083176, -0.0050003474884839725, -0.0052189027673953392, -0.0035094302696121191, 0.0048075866050476977, 0.015230282965296896, 0.017877023790346995, 0.015060123226282708, 0.0068301148455019063, -0.00074735425779775112, -0.0047129224250249081, -0.0020172475601060438, -0.0028733715759857248, -3.2165259563759688e-05, 0.0052576318460990619, 0.0043528918718454875, 0.016945619656148794, 0.015930900625567117, 0.013751773645422991, 0.010130474427749569, 0.0080480898297084717, 0.0066539674397816983, 0.0068324700348844428, 0.0069577044114707276, 0.0040399129489101342, 0.011715241103133139, 0.017439724961211336, 0.014273924944517397, 0.0061485975492234337, 0.0064501329867605404, 0.0064154824267410098, 0.0087972617488658849, 0.0085371084737999835, 0.0087282112830335563, 0.011782866421798245, 0.016746943082334282, 0.022118218282678175, 0.020835875059091086, 0.018311801034637344, 0.01589801188949137, 0.017833422960512931, 0.01556573659143182, 0.014048773907766661, 0.0092415766206588174, 0.008151842723012729, 0.011230814598071655, 0.01256801671117759, 0.012111623945116202, 0.0098381741274288295, 0.0073611628026903006, 0.0095541157333664112, 0.011727533965135649, 0.018125902932239795, 0.019469248207063541, 0.017398513191690286, 0.021144199041044975, 0.021132145666912093, 0.019499184169656004, 0.019592876054570843, 0.02028149781228069, 0.017450605090846959, 0.01415914728419608, 0.0062290511445100638, 0.0038367364618697264, 0.0070206311493656928, 0.0096561161467108754, 0.011406409148288063, 0.0073273774756050288, 0.0046725824974188255, 0.0052535602992445293, 0.00018758422847375771, 0.0081523629612461953, 0.012760089024104778, 0.021600004613459223, 0.02330330354276354, 0.023745752734397885, 0.018230549428489853, 0.020013388637927079, 0.019842171101705101, 0.018799688221643948, 0.010638029835974899, 0.00047497591850582786, -0.0071779359181283857, -0.0013492660142831474, 0.0015382005340972228, 0.0026091901041104195, 0.00054046824549715592, -0.00049664221846118756, -0.0004620349686195485, -0.0052440228766081143, -0.0052152354482096451, -0.010002649985436339, 0.0014386382744505852, 0.012845063185194877, 0.020827676960957435, 0.02373841052172394, 0.015716685713465389, 0.01638066669873605, 0.014902611437895159, 0.0073730357797861029, 0.0019356373041797752, -0.0061999712321189927, -0.0091165414771389678, -0.008810991502401562, -0.014849548271736901, -0.002088752298238026, 0.0052140970488441726, 0.0010527273675475608, -0.010321625138183299, -0.016207678046552692, -0.012439252596672909, -0.013087206027715756, -0.0027969969285832111, 0.0023632017053047227, 0.011157492323637063, 0.018368837091378775, 0.009522424063657664, 0.010552085697652452, 0.0065611074700353111, -0.0015314856230301123, -0.0032492038209889869, -0.0031329857351426339, -0.0009277374824954263, -0.0020968871213430215, -0.002752601764726735, 0.00094388371290420677, 5.9164336949845309e-05, -0.0017254679888374039, -0.0034420772687673035, -0.0045773609585904318, -0.0025304599008137956, -0.00038215561598060812, 0.00057078584536244593, 0.0031325966195568239, 0.0060237831417333659, 0.01158476991744758, 0.0016262584963572593, 0.0032288122743198387, 0.0012532877511827127, 0.00062747794288786391, 0.0023766730707680218, 0.0028182202873619686, 0.0023771129569157626, -0.0033402786707182365, -0.0048954226369167918, 0.0030746977489523515, 0.0062648590670420657, 0.0050231159304044643, 0.00044657525636142406, -0.0048270904988737106, -0.0040237200076292511, 0.0024988183457590458, 0.0054580394659512529, 0.0072880311920233637, 0.0036009634090189563, 0.010569246292394684, -0.0045836905885612515, 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-0.015804998363084376, -0.016267691007421516, -0.018900936626522147, -0.017659450320792951, -0.011812605534381678, -0.0034436129735933847, -0.0023483321715621502, -0.0050111463464252073, -0.0050922386240516513, -0.015030789874247219, -0.020198024497642013, -0.021620507739756673, -0.018586140603325793, -0.018723839025246693, -0.0055722698499209482, 0.0064480458300502788, 0.0026822651632485931, 0.0060010017569890623, 0.0039986244661379938, 0.0050813259426419084, -0.0059114072323689293, -0.027745788024718613, -0.029251292823436387, -0.023066523347947315, -0.017210413752997977, -0.015963112589643183, -0.021075188283476324, -0.023666705491108494, -0.020005598090990763, -0.019062969033403668, -0.017792117192348619, -0.025322677372927888, -0.020971240352056199, -0.003436645553932082, 0.0043350896839554273, 0.0084557183627534376, -0.0063213373221792614, -0.0012841346959162978, -0.0012350140140767124, 0.004020967306281667, 0.0092274867614143326, 0.0045264965008091395, 0.0041315898134410677, 0.00077108445452623935, 0.0017580819918377949, -0.0011577021001876594, -0.0036195352433658614, -0.0037319908665914719, -0.001666179302724247, 0.0031110879435167255, 0.0014906582671670387, 0.0048443015054418677, 0.0059990829294203933, 0.0084750979219295353, 0.0055827168912293912, 0.0025145315352065756, -0.0046319230006191276, -0.0076182514283882324, -0.0046593775053102001, -0.0031253513278243637, 0.0074653367528114828, 0.010125926733440484, 0.0094747053616804754, 0.0035657571954442512, 0.0057833695060832482, 0.003888133034710705, 0.0019960148005530504, 0.0015056031401225207, 0.0011132050024144288, 0.0054876547928768482, 0.0047365733649033419, 0.0072106350627162141, 0.010077746417547511, 0.0038570243972044947, -0.003118757327733293, 8.694979275512165e-05, -0.021441387266543339, -0.0072102976069877674, -0.0078359058223554552, -0.00594066743311885, -0.0016100298225058601, 0.0053450064816458259, 0.0071049496578081076, 0.010196875445129471, 0.0057577873293374569, 0.0074570800047582559, 0.0062731053175082022, 0.0076242083673520502, 0.0068436930933054993, 0.0070021422399430639, 0.0087250840640590785, 0.0089995789681808595, 0.0034314447644411355, -0.001989159567628072, -0.007896602411841893, -0.010924672368545567]
-    },
-    "path": {
-      "normal": [
-        [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14],
-        [15, 16, 17, 18],
-        [19, 20, 21, 22],
-        [23, 63, 24, 64, 25, 65, 26, 66, 23],
-        [28, 67, 29, 68, 30, 69, 31, 70, 28],
-        [34, 35, 36, 42, 37, 43, 38, 39, 40],
-        [33, 41, 62],
-        [44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 44, 56, 57, 58, 50, 59, 60, 61, 44],
-        27, 32
-      ],
-      "vertices": [
-        // jawline
-        [0,1,23,0],
-        [1,23,66,1],
-        [1,2,66,1],
-        [2,66,26,2],
-        [2,26,35,2],
-        [2,35,36,2],
-        [2,36,3,2],
-        [36,44,45,36],
-        [3,4,44,3],
-        [3,44,36,3],
-        [4,44,55,4],
-        [4,5,55,4],
-        [5,55,54,5],
-        [5,6,54,5],
-        [6,53,54,6],
-        [6,7,53,6],
-        [7,8,53,7],
-        [8,52,53,8],
-        [8,9,52,8],
-        [9,51,52,9],
-        [9,10,51,9],
-        [10,50,51,10],
-        [10,11,50,10],
-        [11,38,50,11],
-        [11,12,38,11],
-        [12,38,39,12],
-        [12,31,39,12],
-        [12,31,70,12],
-        [12,13,70,12],
-        [13,28,70,13],
-        [13,14,28,13],
-        // right eyebrow
-        [14,15,28,14],
-        [15,28,67,15],
-        [15,16,67,15],
-        [16,67,29,16],
-        [16,17,29,16],
-        [17,68,29,17],
-        [17,18,68,17],
-        [18,68,30,18],
-        [18,30,33,18],
-        // below eyes
-        [30,40,69,30],
-        [39,40,69,39],
-        [39,31,69,39],
-        [26,65,35,26],
-        [34,35,65,34],
-        [25,34,65,25],
-        // left eyebrow
-        [22,25,33,22],
-        [22,25,64,22],
-        [21,22,64,21],
-        [21,24,64,21],
-        [20,21,24,20],
-        [20,24,63,20],
-        [19,20,63,19],
-        [19,23,63,19],
-        [19,23,0,19],
-        // below nose
-        [36,45,46,36],
-        [36,42,46,36],
-        [42,37,46,42],
-        [37,46,47,37],
-        [46,37,47,46],
-        [37,47,48,37],
-        [38,48,49,38],
-        [37,43,48,37],
-        [43,38,48,43],
-        [38,49,50,38],
-        // nose region
-        //[21,17,22,21],
-        //[17,18,22,17],
-        [22,18,33,22],
-        [40,41,30,40],
-        [25,33,41,25],
-        [33,41,30,33],
-        [25,34,41,25],
-        [41,40,62,41],
-        [34,41,62,34],
-        [34,35,62,34],
-        [35,36,62,35],
-        [36,42,62,36],
-        [42,37,62,42],
-        [37,43,62,37],
-        [43,38,62,43],
-        [38,39,62,38],
-        [39,40,62,39],
-        // mouth
-        [44,45,61,44],
-        [45,46,61,45],
-        [46,47,61,46],
-        [47,61,60,47],
-        [47,59,60,47],
-        [47,48,59,47],
-        [48,49,59,48],
-        [49,50,59,49],
-        [50,51,58,50],
-        [51,52,58,51],
-        [52,57,58,52],
-        [52,53,57,52],
-        [53,54,57,53],
-        [54,56,57,54],
-        [54,55,56,54],
-        [44,55,56,44],
-        // left eye
-        [23,63,27,23],
-        [63,24,27,63],
-        [24,64,27,24],
-        [64,25,27,64],
-        [25,65,27,25],
-        [65,26,27,65],
-        [26,66,27,26],
-        [66,23,27,66],
-        // right eye
-        [28,67,32,28],
-        [67,29,32,67],
-        [29,68,32,29],
-        [68,30,32,68],
-        [30,69,32,30],
-        [69,31,32,69],
-        [31,70,32,31],
-        [28,32,70,28]
-      ]
-    },
-    "patchModel": {
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-    "hints": {
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-
-  // CommonJS and Node.js module support
-  if (typeof exports !== 'undefined') {
-    // Support Node.js specific `module.exports` (which can be a function)
-    if (typeof module !== 'undefined' && module.exports) {
-      exports = module.exports = pModel;
-    }
-    // But always support CommonJS module 1.1.1 spec (`exports` cannot be a function)
-    exports.pModel = pModel;
-  } else {
-    // No CommonJS or Node.js module support, export to the global (window)
-    global.pModel = pModel;
-  }
-})(this);
-
diff --git a/js/models/model_spca_20_svm.js b/js/models/model_spca_20_svm.js
deleted file mode 100644
index a200304..0000000
--- a/js/models/model_spca_20_svm.js
+++ /dev/null
@@ -1,642 +0,0 @@
-(function (global){
-  'use strict';
-
-  var pModel = {
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-    },
-    "path": {
-      "normal": [
-        [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14],
-        [15, 16, 17, 18],
-        [19, 20, 21, 22],
-        [23, 63, 24, 64, 25, 65, 26, 66, 23],
-        [28, 67, 29, 68, 30, 69, 31, 70, 28],
-        [34, 35, 36, 42, 37, 43, 38, 39, 40],
-        [33, 41, 62],
-        [44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 44, 56, 57, 58, 50, 59, 60, 61, 44],
-        27, 32
-      ],
-      "vertices": [
-        // jawline
-        [0,1,23,0],
-        [1,23,66,1],
-        [1,2,66,1],
-        [2,66,26,2],
-        [2,26,35,2],
-        [2,35,36,2],
-        [2,36,3,2],
-        [36,44,45,36],
-        [3,4,44,3],
-        [3,44,36,3],
-        [4,44,55,4],
-        [4,5,55,4],
-        [5,55,54,5],
-        [5,6,54,5],
-        [6,53,54,6],
-        [6,7,53,6],
-        [7,8,53,7],
-        [8,52,53,8],
-        [8,9,52,8],
-        [9,51,52,9],
-        [9,10,51,9],
-        [10,50,51,10],
-        [10,11,50,10],
-        [11,38,50,11],
-        [11,12,38,11],
-        [12,38,39,12],
-        [12,31,39,12],
-        [12,31,70,12],
-        [12,13,70,12],
-        [13,28,70,13],
-        [13,14,28,13],
-        // right eyebrow
-        [14,15,28,14],
-        [15,28,67,15],
-        [15,16,67,15],
-        [16,67,29,16],
-        [16,17,29,16],
-        [17,68,29,17],
-        [17,18,68,17],
-        [18,68,30,18],
-        [18,30,33,18],
-        // below eyes
-        [30,40,69,30],
-        [39,40,69,39],
-        [39,31,69,39],
-        [26,65,35,26],
-        [34,35,65,34],
-        [25,34,65,25],
-        // left eyebrow
-        [22,25,33,22],
-        [22,25,64,22],
-        [21,22,64,21],
-        [21,24,64,21],
-        [20,21,24,20],
-        [20,24,63,20],
-        [19,20,63,19],
-        [19,23,63,19],
-        [19,23,0,19],
-        // below nose
-        [36,45,46,36],
-        [36,42,46,36],
-        [42,37,46,42],
-        [37,46,47,37],
-        [46,37,47,46],
-        [37,47,48,37],
-        [38,48,49,38],
-        [37,43,48,37],
-        [43,38,48,43],
-        [38,49,50,38],
-        // nose region
-        //[21,17,22,21],
-        //[17,18,22,17],
-        [22,18,33,22],
-        [40,41,30,40],
-        [25,33,41,25],
-        [33,41,30,33],
-        [25,34,41,25],
-        [41,40,62,41],
-        [34,41,62,34],
-        [34,35,62,34],
-        [35,36,62,35],
-        [36,42,62,36],
-        [42,37,62,42],
-        [37,43,62,37],
-        [43,38,62,43],
-        [38,39,62,38],
-        [39,40,62,39],
-        // mouth
-        [44,45,61,44],
-        [45,46,61,45],
-        [46,47,61,46],
-        [47,61,60,47],
-        [47,59,60,47],
-        [47,48,59,47],
-        [48,49,59,48],
-        [49,50,59,49],
-        [50,51,58,50],
-        [51,52,58,51],
-        [52,57,58,52],
-        [52,53,57,52],
-        [53,54,57,53],
-        [54,56,57,54],
-        [54,55,56,54],
-        [44,55,56,44],
-        // left eye
-        [23,63,27,23],
-        [63,24,27,63],
-        [24,64,27,24],
-        [64,25,27,64],
-        [25,65,27,25],
-        [65,26,27,65],
-        [26,66,27,26],
-        [66,23,27,66],
-        // right eye
-        [28,67,32,28],
-        [67,29,32,67],
-        [29,68,32,29],
-        [68,30,32,68],
-        [30,69,32,30],
-        [69,31,32,69],
-        [31,70,32,31],
-        [28,32,70,28]
-      ]
-    },
-    "patchModel": {
-      "numPatches": 71,
-      "bias": {
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