complete model refactoring

README.md

@@ -355,7 +355,6 @@ config = {
     enlargeFactor: 1.65,     // empiric tuning as skeleton prediction prefers hand box with some whitespace
     maxHands: 10,            // maximum number of hands detected in the input, should be set to the minimum number for performance
     detector: {
-      anchors: '../models/handdetect/anchors.json',
       modelPath: '../models/handdetect/model.json',
     },
     skeleton: {

config.js

@@ -46,7 +46,7 @@ export default {
                              // face.enabled is required for all face models: detector, mesh, iris, age, gender, emotion
                              // (note: module is not loaded until it is required)
     detector: {
-      modelPath: '../models/blazeface/back/model.json', // can be 'front' or 'back'.
+      modelPath: '../models/blazeface-back.json', // can be 'front' or 'back'.
                                                         // 'front' is optimized for large faces such as front-facing camera and 'back' is optimized for distanct faces.
       inputSize: 256,        // fixed value: 128 for front and 256 for 'back'
       maxFaces: 10,          // maximum number of faces detected in the input, should be set to the minimum number for performance
@@ -59,18 +59,18 @@ export default {
     },
     mesh: {
       enabled: true,
-      modelPath: '../models/facemesh/model.json',
+      modelPath: '../models/facemesh.json',
       inputSize: 192,        // fixed value
     },
     iris: {
       enabled: true,
-      modelPath: '../models/iris/model.json',
+      modelPath: '../models/iris.json',
       enlargeFactor: 2.3,    // empiric tuning
       inputSize: 64,         // fixed value
     },
     age: {
       enabled: true,
-      modelPath: '../models/ssrnet-age/imdb/model.json', // can be 'imdb' or 'wiki'
+      modelPath: '../models/ssrnet-age-imdb.json', // can be 'imdb' or 'wiki'
                                                          // which determines training set for model
       inputSize: 64,         // fixed value
       skipFrames: 10,        // how many frames to go without re-running the detector, only used for video inputs
@@ -78,19 +78,19 @@ export default {
     gender: {
       enabled: true,
       minConfidence: 0.8,    // threshold for discarding a prediction
-      modelPath: '../models/ssrnet-gender/imdb/model.json',
+      modelPath: '../models/ssrnet-gender-imdb.json',
     },
     emotion: {
       enabled: true,
       inputSize: 64,         // fixed value
       minConfidence: 0.5,    // threshold for discarding a prediction
       skipFrames: 10,        // how many frames to go without re-running the detector
-      modelPath: '../models/emotion/model.json',
+      modelPath: '../models/emotion.json',
     },
   },
   body: {
     enabled: true,
-    modelPath: '../models/posenet/model.json',
+    modelPath: '../models/posenet.json',
     inputResolution: 257,    // fixed value
     outputStride: 16,        // fixed value
     maxDetections: 10,       // maximum number of people detected in the input, should be set to the minimum number for performance
@@ -109,11 +109,10 @@ export default {
     enlargeFactor: 1.65,     // empiric tuning as skeleton prediction prefers hand box with some whitespace
     maxHands: 10,            // maximum number of hands detected in the input, should be set to the minimum number for performance
     detector: {
-      anchors: '../models/handdetect/anchors.json',
+      modelPath: '../models/handdetect.json',
-      modelPath: '../models/handdetect/model.json',
     },
     skeleton: {
-      modelPath: '../models/handskeleton/model.json',
+      modelPath: '../models/handskeleton.json',
     },
   },
 };

demo/browser.js

@@ -223,7 +223,7 @@ function runHumanDetect(input, canvas) {
 async function processImage(input) {
   timeStamp = performance.now();
   return new Promise((resolve) => {
-    const image = document.getElementById('image');
+    const image = new Image();
     image.onload = async () => {
       log('Processing image:', image.src);
       const canvas = document.getElementById('canvas');
@@ -234,13 +234,12 @@ async function processImage(input) {
       const result = await human.detect(image, config);
       drawResults(image, result, canvas);
       const thumb = document.createElement('canvas');
+      thumb.className = 'thumbnail';
       thumb.width = window.innerWidth / (ui.columns + 0.1);
       thumb.height = canvas.height / (window.innerWidth / thumb.width);
-      thumb.style.margin = '8px';
-      thumb.style.boxShadow = '4px 4px 4px 0 dimgrey';
       const ctx = thumb.getContext('2d');
       ctx.drawImage(canvas, 0, 0, canvas.width, canvas.height, 0, 0, thumb.width, thumb.height);
-      document.getElementById('samples').appendChild(thumb);
+      document.getElementById('samples-container').appendChild(thumb);
       image.src = '';
       resolve(true);
     };
@@ -251,7 +250,7 @@ async function processImage(input) {
 // just initialize everything and call main function
 async function detectVideo() {
   config.videoOptimized = true;
-  document.getElementById('samples').style.display = 'none';
+  document.getElementById('samples-container').style.display = 'none';
   document.getElementById('canvas').style.display = 'block';
   const video = document.getElementById('video');
   const canvas = document.getElementById('canvas');
@@ -277,9 +276,12 @@ async function detectSampleImages() {
   ui.baseFont = ui.baseFontProto.replace(/{size}/, `${1.2 * ui.columns}rem`);
   ui.baseLineHeight = ui.baseLineHeightProto * ui.columns;
   document.getElementById('canvas').style.display = 'none';
-  document.getElementById('samples').style.display = 'block';
+  document.getElementById('samples-container').style.display = 'block';
   log('Running detection of sample images');
+  status('processing images');
+  document.getElementById('samples-container').innerHTML = '';
   for (const sample of ui.samples) await processImage(sample);
+  status('');
 }
 
 function setupMenu() {
@@ -364,17 +366,18 @@ function setupMenu() {
 }
 
 async function main() {
-  log('Human demo starting ...');
+  log('Human: demo starting ...');
   setupMenu();
-  const msg = `Human Library: version: ${human.version} TensorFlow/JS version: ${human.tf.version_core}`;
+  document.getElementById('log').innerText = `Human: version: ${human.version} TensorFlow/JS version: ${human.tf.version_core}`;
-  document.getElementById('log').innerText = msg;
+  // this is not required, just pre-warms the library
   status('loading');
-  log(msg);
   await human.load();
   status('initializing');
   const warmup = new ImageData(50, 50);
   await human.detect(warmup);
   status('human: ready');
+  document.getElementById('loader').style.display = 'none';
+  document.getElementById('play').style.display = 'block';
 }
 
 window.onload = main;

demo/index.html

@@ -17,19 +17,42 @@
     <!-- <script src="../assets/tf-backend-webgpu.js"></script> -->
     <!-- <script src='../assets/tfjs-vis.min.js'></script> -->
     <script src="./browser.js" type="module"></script>
+    <style>
+      body { margin: 0; background: black; color: white; font-family: 'Segoe UI'; font-size: 16px; font-variant: small-caps; overflow-x: hidden; scrollbar-width: none; }
+      body::-webkit-scrollbar { display: none; }
+      .play { position: absolute; width: 300px; height: 300px; z-index: 25; top: 30%; left: 50%; margin-left: -150px; display: none; }
+      .play-background { fill:darkslategray; cursor:pointer; opacity: 0.6; }
+      .play-foreground { fill:white; cursor:pointer; opacity: 0.8; }
+      .play-foreground:hover { opacity: 1; }
+      .status { position: absolute; width: 100vw; top: 100px; text-align: center; font-size: 4rem; font-weight: 100; text-shadow: 2px 2px darkslategrey; }
+      .thumbnail { margin: 8px; box-shadow: 0 0 4px 4px dimgrey; }
+      .thumbnail:hover { box-shadow: 0 0 8px 8px dimgrey; filter: grayscale(1); }
+      .log { position: fixed; bottom: 0; }
+      .samples-container { display: flex; flex-wrap: wrap; }
+      .video { display: none; }
+      .canvas { margin: 0 auto; width: 100%; }
+      .loader { width: 300px; height: 300px; border: 3px solid transparent; border-radius: 50%; border-top: 4px solid #f15e41; animation: spin 4s linear infinite; position: absolute; top: 30%; left: 50%; margin-left: -150px; }
+      .loader::before, .loader::after { content: ""; position: absolute; top: 6px; bottom: 6px; left: 6px; right: 6px; border-radius: 50%; border: 4px solid transparent; }
+      .loader::before { border-top-color: #bad375; animation: 3s spin linear infinite; }
+      .loader::after { border-top-color: #26a9e0; animation: spin 1.5s linear infinite; }
+      @keyframes spin {
+        from { transform: rotate(0deg); }
+        to { transform: rotate(360deg); }
+      }
+    </style>
   </head>
-  <body style="margin: 0; background: black; color: white; font-family: 'Segoe UI'; font-size: 16px; font-variant: small-caps; overflow: hidden">
+  <body>
-    <div id="play" style="position: absolute; width: 250px; height: 250px; z-index: 25; top: 30%; left: 50%; margin-left: -125px">
+    <div id="play" class="play">
       <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512">
-        <path d="M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm115.7 272l-176 101c-15.8 8.8-35.7-2.5-35.7-21V152c0-18.4 19.8-29.8 35.7-21l176 107c16.4 9.2 16.4 32.9 0 42z" style="fill:darkslategray; cursor:pointer; opacity: 0.6"/>
+        <path d="M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8zm115.7 272l-176 101c-15.8 8.8-35.7-2.5-35.7-21V152c0-18.4 19.8-29.8 35.7-21l176 107c16.4 9.2 16.4 32.9 0 42z" class="play-background"/>
-        <path d="M371.7 280l-176 101c-15.8 8.8-35.7-2.5-35.7-21V152c0-18.4 19.8-29.8 35.7-21l176 107c16.4 9.2 16.4 32.9 0 42z" style="fill:white; cursor:pointer"/>
+        <path d="M371.7 280l-176 101c-15.8 8.8-35.7-2.5-35.7-21V152c0-18.4 19.8-29.8 35.7-21l176 107c16.4 9.2 16.4 32.9 0 42z" class="play-foreground"/>
       </svg>
     </div>
-    <div id="status" style="position: absolute; width: 100vw; top: 100px; text-align: center; font-size: 4rem; font-weight: 100; text-shadow: 2px 2px darkslategrey;"></div>
+    <div id="loader" class="loader"></div>
-    <video id="video" playsinline style="display: none"></video>
+    <div id="status" class="status"></div>
-    <image id="image" src="" style="display: none"></video>
+    <video id="video" playsinline class="video"></video>
-    <canvas id="canvas" style="margin: 0 auto; width: 100%"></canvas>
+    <canvas id="canvas" class="canvas"></canvas>
-    <div id="samples" style="display: flex; flex-wrap: wrap"></div>
+    <div id="samples-container" class="samples-container"></div>
-    <div id="log" style="position: fixed; bottom: 0"></div>
+    <div id="log" class="log"></div>
   </body>
 </html>

demo/node.js

@@ -28,17 +28,17 @@ const config = {
   console: true,
   videoOptimized: false,
   face: {
-    detector: { modelPath: 'file://models/blazeface/back/model.json' },
+    detector: { modelPath: 'file://models/blazeface-back.json' },
-    mesh: { modelPath: 'file://models/facemesh/model.json' },
+    mesh: { modelPath: 'file://models/facemesh.json' },
-    iris: { modelPath: 'file://models/iris/model.json' },
+    iris: { modelPath: 'file://models/iris.json' },
-    age: { modelPath: 'file://models/ssrnet-age/imdb/model.json' },
+    age: { modelPath: 'file://models/ssrnet-age-imdb.json' },
-    gender: { modelPath: 'file://models/ssrnet-gender/imdb/model.json' },
+    gender: { modelPath: 'file://models/ssrnet-gender-imdb.json' },
-    emotion: { modelPath: 'file://models/emotion/model.json' },
+    emotion: { modelPath: 'file://models/emotion.json' },
   },
-  body: { modelPath: 'file://models/posenet/model.json' },
+  body: { modelPath: 'file://models/posenet.json' },
   hand: {
-    detector: { anchors: 'file://models/handdetect/anchors.json', modelPath: 'file://models/handdetect/model.json' },
+    detector: { modelPath: 'file://models/handdetect.json' },
-    skeleton: { modelPath: 'file://models/handskeleton/model.json' },
+    skeleton: { modelPath: 'file://models/handskeleton.json' },
   },
 };
 

dist/human.esm-nobundle.json

@@ -1,11 +1,11 @@
 {
   "inputs": {
     "config.js": {
-      "bytes": 7322,
+      "bytes": 7216,
       "imports": []
     },
     "package.json": {
-      "bytes": 2870,
+      "bytes": 2915,
       "imports": []
     },
     "src/emotion/emotion.js": {
@@ -74,6 +74,10 @@
       "bytes": 19592,
       "imports": []
     },
+    "src/handpose/anchors.js": {
+      "bytes": 224151,
+      "imports": []
+    },
     "src/handpose/box.js": {
       "bytes": 2572,
       "imports": []
@@ -87,7 +91,7 @@
       ]
     },
     "src/handpose/handpose.js": {
-      "bytes": 2152,
+      "bytes": 1849,
       "imports": [
         {
           "path": "src/handpose/handdetector.js"
@@ -97,6 +101,9 @@
         },
         {
           "path": "src/handpose/pipeline.js"
+        },
+        {
+          "path": "src/handpose/anchors.js"
         }
       ]
     },
@@ -120,7 +127,7 @@
       "imports": []
     },
     "src/human.js": {
-      "bytes": 15047,
+      "bytes": 15055,
       "imports": [
         {
           "path": "src/facemesh/facemesh.js"
@@ -152,7 +159,7 @@
       ]
     },
     "src/imagefx.js": {
-      "bytes": 19396,
+      "bytes": 19352,
       "imports": []
     },
     "src/posenet/buildParts.js": {
@@ -275,112 +282,115 @@
     "dist/human.esm-nobundle.js.map": {
       "imports": [],
       "inputs": {},
-      "bytes": 256473
+      "bytes": 605105
     },
     "dist/human.esm-nobundle.js": {
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       "inputs": {
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-          "bytesInOutput": 7133
+          "bytesInOutput": 3082
         },
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-          "bytesInOutput": 2768
+          "bytesInOutput": 1945
         },
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-          "bytesInOutput": 2076
+          "bytesInOutput": 1021
         },
         "src/facemesh/util.js": {
-          "bytesInOutput": 3016
+          "bytesInOutput": 1171
         },
         "src/facemesh/pipeline.js": {
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+          "bytesInOutput": 5571
         },
         "src/facemesh/uvcoords.js": {
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+          "bytesInOutput": 16785
         },
         "src/facemesh/triangulation.js": {
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+          "bytesInOutput": 9990
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+          "bytesInOutput": 1254
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         "src/profile.js": {
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+          "bytesInOutput": 619
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+          "bytesInOutput": 1236
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+          "bytesInOutput": 1082
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         "src/posenet/modelBase.js": {
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+          "bytesInOutput": 455
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+          "bytesInOutput": 267
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 }

dist/human.esm.json

@@ -1,7 +1,7 @@
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+      "bytes": 7216,
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@@ -149,7 +149,7 @@
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     },
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+      "bytes": 2915,
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     },
     "src/emotion/emotion.js": {
@@ -235,6 +235,10 @@
       "bytes": 19592,
       "imports": []
     },
+    "src/handpose/anchors.js": {
+      "bytes": 224151,
+      "imports": []
+    },
     "src/handpose/box.js": {
       "bytes": 2572,
       "imports": [
@@ -255,7 +259,7 @@
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     },
     "src/handpose/handpose.js": {
-      "bytes": 2152,
+      "bytes": 1849,
       "imports": [
         {
           "path": "node_modules/@tensorflow/tfjs/dist/tf.node.js"
@@ -268,6 +272,9 @@
         },
         {
           "path": "src/handpose/pipeline.js"
+        },
+        {
+          "path": "src/handpose/anchors.js"
         }
       ]
     },
@@ -294,7 +301,7 @@
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     },
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+      "bytes": 15055,
       "imports": [
         {
           "path": "node_modules/@tensorflow/tfjs/dist/tf.node.js"
@@ -329,7 +336,7 @@
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+      "bytes": 19352,
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     },
     "src/posenet/buildParts.js": {
@@ -481,169 +488,172 @@
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+      {
+          "paths": ["emotion.bin"],
+          "weights": [{"name":"unknown_60","shape":[3,3,64,1],"dtype":"float32"},{"name":"unknown_66","shape":[3,3,128,1],"dtype":"float32"},{"name":"unknown_43","shape":[3,3,32,1],"dtype":"float32"},{"name":"unknown_49","shape":[3,3,64,1],"dtype":"float32"},{"name":"unknown_26","shape":[3,3,16,1],"dtype":"float32"},{"name":"unknown_32","shape":[3,3,32,1],"dtype":"float32"},{"name":"unknown_9","shape":[3,3,8,1],"dtype":"float32"},{"name":"unknown_15","shape":[3,3,16,1],"dtype":"float32"},{"name":"unknown_77","shape":[3,3,128,7],"dtype":"float32"},{"name":"unknown_78","shape":[7],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/global_average_pooling2d_1/Mean/reduction_indices","shape":[2],"dtype":"int32"},{"name":"StatefulPartitionedCall/model_1/conv2d_1/Conv2D_weights","shape":[3,3,1,8],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/conv2d_6/Conv2D_weights","shape":[1,1,64,128],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/conv2d_1/Conv2D_bn_offset","shape":[8],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/conv2d_2/Conv2D_weights","shape":[3,3,8,8],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/conv2d_6/Conv2D_bn_offset","shape":[128],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/conv2d_2/Conv2D_bn_offset","shape":[8],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/conv2d_3/Conv2D_weights","shape":[1,1,8,16],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_7/separable_conv2d_weights","shape":[1,1,64,128],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/conv2d_3/Conv2D_bn_offset","shape":[16],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_1/separable_conv2d_weights","shape":[1,1,8,16],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_1/separable_conv2d_bn_offset","shape":[16],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_7/separable_conv2d_bn_offset","shape":[128],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_2/separable_conv2d_weights","shape":[1,1,16,16],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_2/separable_conv2d_bn_offset","shape":[16],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/conv2d_4/Conv2D_weights","shape":[1,1,16,32],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/conv2d_4/Conv2D_bn_offset","shape":[32],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_3/separable_conv2d_weights","shape":[1,1,16,32],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_3/separable_conv2d_bn_offset","shape":[32],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_8/separable_conv2d_weights","shape":[1,1,128,128],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_4/separable_conv2d_weights","shape":[1,1,32,32],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_4/separable_conv2d_bn_offset","shape":[32],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/conv2d_5/Conv2D_weights","shape":[1,1,32,64],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_8/separable_conv2d_bn_offset","shape":[128],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/conv2d_5/Conv2D_bn_offset","shape":[64],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_5/separable_conv2d_weights","shape":[1,1,32,64],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_5/separable_conv2d_bn_offset","shape":[64],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_6/separable_conv2d_weights","shape":[1,1,64,64],"dtype":"float32"},{"name":"StatefulPartitionedCall/model_1/separable_conv2d_6/separable_conv2d_bn_offset","shape":[64],"dtype":"float32"}]
+      }
+  ]
+}

package.json

@@ -40,11 +40,11 @@
   "scripts": {
     "start": "node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js",
     "lint": "eslint src/*.js demo/*.js",
-    "build-iife": "esbuild --bundle --platform=browser --sourcemap --target=esnext --format=iife --external:fs --global-name=Human --metafile=dist/human.json --outfile=dist/human.js src/human.js",
+    "build-iife": "esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=iife --external:fs --global-name=Human --metafile=dist/human.json --outfile=dist/human.js src/human.js",
-    "build-esm-bundle": "esbuild --bundle --platform=browser --sourcemap --target=esnext --format=esm --external:fs --metafile=dist/human.esm.json --outfile=dist/human.esm.js src/human.js",
+    "build-esm-bundle": "esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=esm --external:fs --metafile=dist/human.esm.json --outfile=dist/human.esm.js src/human.js",
-    "build-esm-nobundle": "esbuild --bundle --platform=browser --sourcemap --target=esnext --format=esm --external:@tensorflow --external:fs --metafile=dist/human.esm-nobundle.json --outfile=dist/human.esm-nobundle.js src/human.js",
+    "build-esm-nobundle": "esbuild --bundle --minify --platform=browser --sourcemap --target=esnext --format=esm --external:@tensorflow --external:fs --metafile=dist/human.esm-nobundle.json --outfile=dist/human.esm-nobundle.js src/human.js",
-    "build-node": "esbuild --bundle --platform=node --sourcemap --target=esnext --format=cjs --metafile=dist/human.node.json --outfile=dist/human.node.js src/human.js",
+    "build-node": "esbuild --bundle --minify --platform=node --sourcemap --target=esnext --format=cjs --metafile=dist/human.node.json --outfile=dist/human.node.js src/human.js",
-    "build-node-nobundle": "esbuild --bundle --platform=node --sourcemap --target=esnext --format=cjs --external:@tensorflow --metafile=dist/human.node.json --outfile=dist/human.node-nobundle.js src/human.js",
+    "build-node-nobundle": "esbuild --bundle --minify --platform=node --sourcemap --target=esnext --format=cjs --external:@tensorflow --metafile=dist/human.node.json --outfile=dist/human.node-nobundle.js src/human.js",
     "build": "rimraf dist/* && npm run build-iife && npm run build-esm-bundle && npm run build-esm-nobundle && npm run build-node && npm run build-node-nobundle && ls -l dist/",
     "update": "npm update --depth 20 --force && npm dedupe && npm prune && npm audit",
     "changelog": "node changelog.js"

src/handpose/handpose.js

@@ -2,6 +2,7 @@ const tf = require('@tensorflow/tfjs');
 const hand = require('./handdetector');
 const keypoints = require('./keypoints');
 const pipe = require('./pipeline');
+const anchors = require('./anchors.js');
 
 class HandPose {
   constructor(pipeline) {
@@ -33,23 +34,12 @@ class HandPose {
 }
 exports.HandPose = HandPose;
 
-async function loadAnchors(url) {
-  if (tf.env().features.IS_NODE) {
-    // eslint-disable-next-line global-require
-    const fs = require('fs');
-    const data = await fs.readFileSync(url.replace('file://', ''));
-    return JSON.parse(data);
-  }
-  return tf.util.fetch(url).then((d) => d.json());
-}
-
 async function load(config) {
-  const [anchors, handDetectorModel, handPoseModel] = await Promise.all([
+  const [handDetectorModel, handPoseModel] = await Promise.all([
-    loadAnchors(config.detector.anchors),
     tf.loadGraphModel(config.detector.modelPath, { fromTFHub: config.detector.modelPath.includes('tfhub.dev') }),
     tf.loadGraphModel(config.skeleton.modelPath, { fromTFHub: config.skeleton.modelPath.includes('tfhub.dev') }),
   ]);
-  const detector = new hand.HandDetector(handDetectorModel, anchors, config);
+  const detector = new hand.HandDetector(handDetectorModel, anchors.anchors, config);
   const pipeline = new pipe.HandPipeline(detector, handPoseModel, config);
   const handpose = new HandPose(pipeline);
   return handpose;

src/human.js

@@ -109,28 +109,36 @@ class Human {
 
   async load(userConfig) {
     if (userConfig) this.config = mergeDeep(defaults, userConfig);
+
+    if (first) {
+      this.log(`version: ${this.version} TensorFlow/JS version: ${tf.version_core}`);
+      this.log('configuration:', this.config);
+      this.log('flags:', tf.ENV.flags);
+      first = false;
+    }
+
     if (this.config.face.enabled && !this.models.facemesh) {
-      this.log('Load model: Face');
+      this.log('load model: face');
       this.models.facemesh = await facemesh.load(this.config.face);
     }
     if (this.config.body.enabled && !this.models.posenet) {
-      this.log('Load model: Body');
+      this.log('load model: body');
       this.models.posenet = await posenet.load(this.config.body);
     }
     if (this.config.hand.enabled && !this.models.handpose) {
-      this.log('Load model: Hand');
+      this.log('load model: hand');
       this.models.handpose = await handpose.load(this.config.hand);
     }
     if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) {
-      this.log('Load model: Age');
+      this.log('load model: age');
       this.models.age = await ssrnet.loadAge(this.config);
     }
     if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) {
-      this.log('Load model: Gender');
+      this.log('load model: gender');
       this.models.gender = await ssrnet.loadGender(this.config);
     }
     if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) {
-      this.log('Load model: Emotion');
+      this.log('load model: emotion');
       this.models.emotion = await emotion.load(this.config);
     }
   }
@@ -260,14 +268,6 @@ class Human {
       await this.checkBackend();
       perf.backend = Math.trunc(now() - timeStamp);
 
-      // check number of loaded models
-      if (first) {
-        this.log('Starting');
-        this.log('Configuration:', this.config);
-        this.log('Flags:', tf.ENV.flags);
-        first = false;
-      }
-
       // load models if enabled
       timeStamp = now();
       this.state = 'load';

src/imagefx.js

@@ -73,7 +73,7 @@ const WebGLImageFilter = function (params) {
   // key is the shader program source, value is the compiled program
   const _shaderProgramCache = { };
 
-  const gl = _canvas.getContext('webgl') || _canvas.getContext('experimental-webgl');
+  const gl = _canvas.getContext('webgl');
   if (!gl) throw new Error('Filter: getContext() failed');
 
   this.addFilter = function (name) {

src/node.js

@@ -35,7 +35,7 @@ const config = {
   },
   body: { modelPath: 'file://models/posenet/model.json' },
   hand: {
-    detector: { anchors: 'file://models/handdetect/anchors.json', modelPath: 'file://models/handdetect/model.json' },
+    detector: { modelPath: 'file://models/handdetect/model.json' },
     skeleton: { modelPath: 'file://models/handskeleton/model.json' },
   },
 };