=0){s[f].rank=~p++;}w=~s[f].rank;}x[z]=w;}var o=[];for(z=0;z=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=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> 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> 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 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 '' +
- '' +
- '' +
- '' +
- ' ' + msg + ' ' +
- ' ' +
- ' |
';
-};
-
-
-/**
- * Mesasge for getting a webgl browser
- * @type {string}
- */
-// const GET_A_WEBGL_BROWSER = '' +
-// 'This page requires a browser that supports WebGL.
' +
-// 'Click here to upgrade your browser.';
-
-
-/**
- * Mesasge for need better hardware
- * @type {string}
- */
-// const OTHER_PROBLEM = '' +
-// "It doesn't appear your computer can support WebGL.
" +
-// 'Click here for more information.';
-
-
-/**
- * Creates a webgl context. If creation fails it will
- * change the contents of the container of the