Merge branch 'nocturnal-filter'

Help/settings.html

@@ -108,7 +108,11 @@
         </td>
     </tr>
     <tr>
-        <td colspan="2" class="text-center text-bg-light"><h5>Audio Export Preferences</h5></td>
+        <td colspan="2" class="text-center text-bg-light"><h5>Audio Preferences</h5></td>
+    </tr>
+    <tr>
+        <td><b>Gain Adjustment</b></td>
+        <td>If your recordings are very quiet, you can increase the loudness of the audio by adding gain. The volume of audio can be increased by up to 50 decibels.</td>
     </tr>
     <tr>
         <td><b>Format and Bitrate</b></td>
@@ -151,7 +155,7 @@
     </tr>
 
     <tr>
-        <td colspan="2" class="text-center text-bg-warning"><h5>Experimental Features</h5></td>
+        <td colspan="2" class="text-center text-bg-warning"><h5>Advanced Features</h5></td>
     </tr>
     <tr>
         <th>Context Mode</th>

css/style.css

@@ -535,7 +535,6 @@ input[type="range"].vertical {
     line-height: 20px;
     float: right;
     text-decoration: none; /* Remove underline from <a> tags */
-    display: inline-block;
     transition: transform 0.2s; /* Add transition for smooth scaling */
 }
 

js/BirdNet2.4.js

@@ -39,14 +39,7 @@ onmessage = async (e) => {
                 })
                 DEBUG && console.log(`model received load instruction. Using list: ${list}, batch size ${batch}`);
 
-                tf.setBackend(backend).then(async () => {
-                    if (backend === "webgl") {
-                        tf.env().set("WEBGL_FORCE_F16_TEXTURES", true);
-                        tf.env().set("WEBGL_PACK", true);
-                        tf.env().set("WEBGL_EXP_CONV", true);
-                        tf.env().set("TOPK_K_CPU_HANDOFF_THRESHOLD", 128);
-                        tf.env().set("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD", 0);
-                    }
+                tf.setBackend('tensorflow').then(async () => {
                     tf.enableProdMode();
                     if (DEBUG) {
                         console.log(tf.env());
@@ -327,9 +320,9 @@ class Model {
         const finalPrediction = newPrediction || prediction;
 
         const { indices, values } = tf.topk(finalPrediction, 5, true);
-        const topIndices = await indices.array();
+        const topIndices = indices.arraySync();
         indices.dispose();
-        const topValues = await values.array();
+        const topValues = values.arraySync();
         values.dispose();
         // end new
         // const array_of_predictions = finalPrediction.arraySync()

js/audio_normalizer_processor.js

@@ -0,0 +1,46 @@
+// This needs some refinement!
+
+class AudioNormalizerProcessor extends AudioWorkletProcessor {
+    static get parameterDescriptors() {
+      return [{ name: 'peakLoudness', defaultValue: -3 }];
+    }
+
+    process(inputs, outputs, parameters) {
+      const input = inputs[0];
+      const output = outputs[0];
+
+      const peakLoudness = parameters.peakLoudness[0];
+
+      for (let channel = 0; channel < input.length; ++channel) {
+        const inputData = input[channel];
+        const outputData = output[channel];
+
+        // Increase buffer size
+        const bufferSize = 1024; // Adjust as needed
+
+        for (let sample = 0; sample < inputData.length; sample += bufferSize) {
+          let maxAbsValue = 0;
+          const endSample = Math.min(sample + bufferSize, inputData.length);
+
+          for (let s = sample; s < endSample; ++s) {
+            const absValue = Math.abs(inputData[s]);
+            if (absValue > maxAbsValue) {
+              maxAbsValue = absValue;
+            }
+          }
+
+          const desiredPeak = Math.pow(10, peakLoudness / 20); // Convert dB to linear scale
+          const scaleFactor = desiredPeak / (maxAbsValue + 1e-5); // Handle division by zero
+
+          for (let s = sample; s < endSample; ++s) {
+            outputData[s] = inputData[s] * scaleFactor;
+          }
+        }
+      }
+
+      return true;
+    }
+  }
+
+  registerProcessor('audio-normalizer-processor', AudioNormalizerProcessor);
+

js/state.js

@@ -13,7 +13,7 @@ export class State {
             this.filteredOffset = {}, // Current species start number for filtered results
             this.selection = false,
             this.blocked = [],
-            this.audio = { format: 'mp3', bitrate: 128, padding: false, fade: false, downmix: false, quality: 5 },
+            this.audio = { gain: 0, format: 'mp3', bitrate: 128, padding: false, fade: false, downmix: false, quality: 5 },
             this.filters = { active: false, highPassFrequency: 0, lowShelfFrequency: 0, lowShelfAttenuation: 0, SNR: 0 },
             this.detect = { nocmig: false, contextAware: false, confidence: 450 },
             this.chart = { range: { start: undefined, end: undefined }, species: undefined },
@@ -29,7 +29,8 @@ export class State {
             this.speciesThreshold = undefined,
             this.useWeek = false,
             this.week = -1,
-            this.list = 'everything'
+            this.list = 'everything',
+            this.local = true
     }