fix wasm detection

CHANGELOG.md

@@ -11,9 +11,8 @@
   
 ### **HEAD -> main** 2022/08/12 mandic00@live.com
 
-
-### **origin/main** 2022/08/10 mandic00@live.com
-
+- enumerate additional models
+- release refresh
 
 ### **2.9.3** 2022/08/10 mandic00@live.com
 

TODO.md

@@ -57,6 +57,8 @@ Model is supported using `WebGL` backend in browser
   Models can be downloaded from <https://github.com/vladmandic/insightface>  
 - Add `human.check()` which validates all kernel ops for currently loaded models with currently selected backend  
   Example: `console.error(human.check());`  
+- Add underlying tensorflow library version detection to `human.env`  
+  Example: `console.log(human.env.tensorflow)`  
 - Host models in <human-models>  
   Models can be directly used without downloading to local storage  
   Example: `modelPath: 'https://vladmandic.github.io/human-models/models/facemesh.json'`  
@@ -69,10 +71,11 @@ Model is supported using `WebGL` backend in browser
 - Fix **NanoDet** module as alternative object detection  
 - Fix `demo/multithread/node-multiprocess.js` demo  
 - Fix `human.match` when using mixed descriptor lengths  
+- Fix WASM feature detection issue in TFJS with Edge/Chromium  
 - Increased test coverage  
-  Run using `npm run test`  
+  **NodeJS**: Run using `npm run test`  
+  **Browser**: Run using `demo/browser.html`  
 - Increase availability of alternative models  
   See `models/model.json` for full list  
-- Update **NMS** methods resulting in some performance improvements
 - Update profiling methods in `human.profile()`  
 - Update project dependencies  

package.json

@@ -79,7 +79,7 @@
     "@tensorflow/tfjs-node": "^3.19.0",
     "@tensorflow/tfjs-node-gpu": "^3.19.0",
     "@tensorflow/tfjs-tflite": "0.0.1-alpha.8",
-    "@types/node": "^18.7.2",
+    "@types/node": "^18.7.4",
     "@types/offscreencanvas": "^2019.7.0",
     "@typescript-eslint/eslint-plugin": "^5.33.0",
     "@typescript-eslint/parser": "^5.33.0",
@@ -87,8 +87,8 @@
     "@vladmandic/pilogger": "^0.4.6",
     "@vladmandic/tfjs": "github:vladmandic/tfjs",
     "@webgpu/types": "^0.1.21",
-    "esbuild": "^0.15.1",
-    "eslint": "8.21.0",
+    "esbuild": "^0.15.3",
+    "eslint": "8.22.0",
     "eslint-config-airbnb-base": "^15.0.0",
     "eslint-plugin-html": "^7.1.0",
     "eslint-plugin-import": "^2.26.0",

src/body/blazeposedetector.ts

@@ -71,7 +71,7 @@ export async function decode(boxesTensor: Tensor, logitsTensor: Tensor, config:
     detected.push({ box, boxRaw, score: scores[i] });
   }
   /*
-  t.nms = tf.image.nonMaxSuppression(t.boxes, t.scores, 1, config.body.detector?.minConfidence || 0.1, config.body.detector?.iouThreshold || 0.1);
+  t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes, t.scores, 1, config.body.detector?.minConfidence || 0.1, config.body.detector?.iouThreshold || 0.1);
   const boxes = t.boxes.arraySync();
   const scores = t.scores.dataSync();
   const nms = t.nms.dataSync();

src/face/blazeface.ts

@@ -75,7 +75,7 @@ export async function getBoxes(inputImage: Tensor, config: Config) {
   t.logits = tf.slice(t.batch, [0, 0], [-1, 1]);
   t.sigmoid = tf.sigmoid(t.logits);
   t.scores = tf.squeeze(t.sigmoid);
-  t.nms = tf.image.nonMaxSuppression(t.boxes, t.scores, (config.face.detector?.maxDetected || 0), (config.face.detector?.iouThreshold || 0), (config.face.detector?.minConfidence || 0));
+  t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes, t.scores, (config.face.detector?.maxDetected || 0), (config.face.detector?.iouThreshold || 0), (config.face.detector?.minConfidence || 0));
   const nms = await t.nms.array() as number[];
   const boxes: Array<DetectBox> = [];
   const scores = await t.scores.data();

src/hand/handposedetector.ts

@@ -67,7 +67,7 @@ export class HandDetector {
     t.boxes = tf.slice(t.predictions, [0, 1], [-1, 4]);
     t.norm = this.normalizeBoxes(t.boxes);
     // box detection is flaky so we look for 3x boxes than we need results
-    t.nms = tf.image.nonMaxSuppression(t.norm, t.scores, 3 * config.hand.maxDetected, config.hand.iouThreshold, config.hand.minConfidence);
+    t.nms = await tf.image.nonMaxSuppressionAsync(t.norm, t.scores, 3 * config.hand.maxDetected, config.hand.iouThreshold, config.hand.minConfidence);
     const nms = await t.nms.array() as Array<number>;
     const hands: Array<{ startPoint: Point; endPoint: Point; palmLandmarks: Point[]; confidence: number }> = [];
     for (const index of nms) {

src/hand/handtrack.ts

@@ -121,7 +121,7 @@ async function detectHands(input: Tensor, config: Config): Promise<HandDetectRes
   t.max = tf.max(t.filtered, 1); // max overall score
   t.argmax = tf.argMax(t.filtered, 1); // class index of max overall score
   let id = 0;
-  t.nms = tf.image.nonMaxSuppression(t.boxes, t.max, (config.hand.maxDetected || 0) + 1, config.hand.iouThreshold || 0, config.hand.minConfidence || 1);
+  t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes, t.max, (config.hand.maxDetected || 0) + 1, config.hand.iouThreshold || 0, config.hand.minConfidence || 1);
   const nms = await t.nms.data();
   const scores = await t.max.data();
   const classNum = await t.argmax.data();

src/object/centernet.ts

@@ -42,7 +42,7 @@ async function process(res: Tensor | null, outputShape: [number, number], config
   t.scores = tf.squeeze(arr[4]);
   t.classes = tf.squeeze(arr[5]);
   tf.dispose([res, ...arr]);
-  t.nms = tf.image.nonMaxSuppression(t.boxes, t.scores, config.object.maxDetected, config.object.iouThreshold, (config.object.minConfidence || 0));
+  t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes, t.scores, config.object.maxDetected, config.object.iouThreshold, (config.object.minConfidence || 0));
   const nms = await t.nms.data();
   let i = 0;
   for (const id of Array.from(nms)) {

src/object/nanodet.ts

@@ -91,7 +91,7 @@ async function process(res: Tensor[], outputShape: [number, number], config: Con
   const nmsScores = results.map((a) => a.score);
   let nmsIdx: Array<number> = [];
   if (nmsBoxes && nmsBoxes.length > 0) {
-    const nms = tf.image.nonMaxSuppression(nmsBoxes, nmsScores, config.object.maxDetected, config.object.iouThreshold, config.object.minConfidence);
+    const nms = await tf.image.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config.object.maxDetected, config.object.iouThreshold, config.object.minConfidence);
     nmsIdx = await nms.data();
     tf.dispose(nms);
   }

src/tfjs/backend.ts

@@ -90,10 +90,16 @@ export async function check(instance: Human, force = false) {
         if (instance.config.debug) log('wasm path:', instance.config.wasmPath);
         if (typeof tf?.setWasmPaths !== 'undefined') await tf.setWasmPaths(instance.config.wasmPath, instance.config.wasmPlatformFetch);
         else throw new Error('backend error: attempting to use wasm backend but wasm path is not set');
-        const simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');
-        const mt = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT');
-        if (instance.config.debug) log(`wasm execution: ${simd ? 'SIMD' : 'no SIMD'} ${mt ? 'multithreaded' : 'singlethreaded'}`);
-        if (instance.config.debug && !simd) log('warning: wasm simd support is not enabled');
+        let mt = false;
+        let simd = false;
+        try {
+          mt = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT');
+          simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');
+          if (instance.config.debug) log(`wasm execution: ${simd ? 'simd' : 'no simd'} ${mt ? 'multithreaded' : 'singlethreaded'}`);
+          if (instance.config.debug && !simd) log('warning: wasm simd support is not enabled');
+        } catch {
+          log('wasm detection failed');
+        }
       }
 
       try {

src/util/env.ts

@@ -27,6 +27,10 @@ export class Env {
   offscreen: undefined | boolean;
   /** Are performance counter instant values or additive */
   perfadd: boolean = false;
+  /** If using tfjs-node get version of underlying tensorflow shared library */
+  tensorflow: {
+    version: undefined | string,
+  } = { version: undefined };
   /** WASM detected capabilities */
   wasm: {
     supported: undefined | boolean,
@@ -84,6 +88,7 @@ export class Env {
     this.tfjs = { version: tf.version['tfjs-core'] };
     this.offscreen = typeof OffscreenCanvas !== 'undefined';
     this.initial = true;
+
     // @ts-ignore WorkerGlobalScope evaluated in browser only
     this.worker = this.browser && this.offscreen ? (typeof WorkerGlobalScope !== 'undefined') : undefined;
     if (typeof navigator !== 'undefined') {
@@ -114,6 +119,7 @@ export class Env {
   async updateBackend() {
     // analyze backends
     this.backends = Object.keys(tf.engine().registryFactory);
+    this.tensorflow = { version: (tf.backend()['binding'] ? tf.backend()['binding']['TF_Version'] : undefined) };
     this.wasm.supported = typeof WebAssembly !== 'undefined';
     this.wasm.backend = this.backends.includes('wasm');
     if (this.wasm.supported && this.wasm.backend && tf.getBackend() === 'wasm') {

test/browser.html

@@ -13,9 +13,9 @@
     <style>
       @font-face { font-family: 'Lato'; font-display: swap; font-style: normal; font-weight: 100; src: local('Lato'), url('../../assets/lato-light.woff2') }
       html { font-family: 'Lato', 'Segoe UI'; font-size: 14px; font-variant: small-caps; }
-      body { margin: 0; background: black; color: white; }
+      body { margin: 0; background: black; color: white; width: 100vw; overflow-x: hidden; }
       .canvas { position: absolute; bottom: 10px; right: 10px; width: 256px; height: 256px; z-index: 99; }
-      .pre { line-height: 150%; }
+      .pre { line-height: 150%; white-space: break-spaces; }
       .events { position: absolute; top: 10px; right: 10px; width: 12rem; height: 1.25rem; background-color: grey; padding: 8px; z-index: 99; }
       .state { position: absolute; top: 60px; right: 10px; width: 12rem; height: 1.25rem; background-color: grey; padding: 8px; z-index: 99; }
     </style>
@@ -36,16 +36,16 @@
         object: { enabled: true },
       };
 
-      const backends = ['wasm', 'webgl', 'humangl', 'webgpu'];
+      const backends = ['wasm', 'humangl', 'webgl', 'webgpu'];
 
       const start = performance.now();
 
-      function str(...msg) {
+      function str(long, ...msg) {
         if (!Array.isArray(msg)) return msg;
         let line = '';
         for (const entry of msg) {
-          if (typeof entry === 'object') line += JSON.stringify(entry).replace(/"/g, '').replace(/,/g, ', ').replace(/:/g, ': ');
-          else line += entry;
+          if (typeof entry === 'object') line += ' ' + JSON.stringify(entry, null, long ? 2 : 0).replace(/"/g, '').replace(/,/g, ', ').replace(/:/g, ': ');
+          else line += ' ' + entry;
         }
         return line + '\n';
       }
@@ -55,9 +55,19 @@
         const dt = new Date();
         const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;
         const elap = (dt - last).toString().padStart(5, '0');
-        document.getElementById('log').innerHTML += ts + ' +' + elap + 'ms &nbsp' + str(...msgs);
-        // eslint-disable-next-line no-console
-        console.log(ts, elap, ...msgs);
+        document.getElementById('log').innerHTML += ts + ' +' + elap + 'ms &nbsp' + str(false, ...msgs);
+        document.documentElement.scrollTop = document.documentElement.scrollHeight
+        console.log(ts, elap, ...msgs); // eslint-disable-line no-console
+        last = dt;
+      }
+
+      async function detailed(...msgs) {
+        const dt = new Date();
+        const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;
+        const elap = (dt - last).toString().padStart(5, '0');
+        document.getElementById('log').innerHTML += ts + ' +' + elap + 'ms &nbsp' + str(true, ...msgs);
+        document.documentElement.scrollTop = document.documentElement.scrollHeight
+        console.log(ts, elap, ...msgs); // eslint-disable-line no-console
         last = dt;
       }
 
@@ -95,37 +105,44 @@
         human.events.addEventListener('image', () => events('image'));
         human.events.addEventListener('detect', () => events('detect'));
         const timer = setInterval(() => { document.getElementById('state').innerText = `State: ${human.state}`; }, 10);
-        log({ version: human.version });
-        log({ tfjs: human.tf.version.tfjs });
-        log({ environment: human.env });
-        log({ config: human.config });
+        log('version', human.version);
+        log('tfjs', human.tf.version.tfjs);
+
+        const env = JSON.parse(JSON.stringify(human.env));
+        env.kernels = human.env.kernels.length;
+        detailed('environment', env);
+
+        detailed('config', human.config);
         await human.load();
         const models = Object.keys(human.models).map((model) => ({ name: model, loaded: (human.models[model] !== null) }));
-        log({ models });
+        log('models', models);
         for (const backend of backends) {
           log();
           log('test start:', backend);
           human.config.backend = backend;
           await human.init();
-          log({ initialized: human.tf.getBackend() });
-          log({ memory: human.tf.memory() });
+          log('desired', backend, 'detected', human.tf.getBackend());
+          if (human.tf.getBackend() !== backend) {
+            continue;
+          }
+          log('memory', human.tf.memory());
           res = await human.validate();
-          log({ validate: res });
+          log('validate', res);
           res = await human.warmup({ warmup: 'face' });
           draw(res.canvas);
-          log({ warmup: 'face' });
+          log('warmup', 'face');
           let img = await image('../../samples/in/ai-body.jpg');
           const input = await human.image(img);
-          log({ input: input.tensor.shape });
+          log('input', input.tensor.shape);
           draw(res.canvas);
           res = await human.detect(input.tensor);
-          log({ detect: true });
+          log('detect');
           human.next();
-          log({ interpolated: true });
+          log('interpolate');
           const persons = res.persons;
-          log({ persons: true });
-          log({ summary: { persons: persons.length, face: res.face.length, body: res.body.length, hand: res.hand.length, object: res.object.length, gesture: res.gesture.length } });
-          log({ performance: human.performance });
+          log('persons');
+          log('summary', { persons: persons.length, face: res.face.length, body: res.body.length, hand: res.hand.length, object: res.object.length, gesture: res.gesture.length });
+          log('performance', human.performance);
           human.tf.dispose(input.tensor);
           draw();
 
@@ -138,12 +155,12 @@
               draw(res.canvas);
             }
             const t1 = performance.now();
-            log({ benchmark: { time: Math.round((t1 - t0) / 10), cacheSensitivity: val }, performance: human.performance });
+            log('benchmark', { time: Math.round((t1 - t0) / 10), cacheSensitivity: val, performance: human.performance });
             await wait(10);
           }
           draw();
 
-          log({ memory: human.tf.memory() });
+          log('memory', human.tf.memory());
         }
         clearInterval(timer);
         log();

test/build.log

@@ -1,39 +1,39 @@
-2022-08-12 09:50:24 DATA:  Build {"name":"@vladmandic/human","version":"2.9.3"} 
-2022-08-12 09:50:24 INFO:  Application: {"name":"@vladmandic/human","version":"2.9.3"} 
-2022-08-12 09:50:24 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 
-2022-08-12 09:50:24 INFO:  Toolchain: {"build":"0.7.9","esbuild":"0.15.1","typescript":"4.7.4","typedoc":"0.23.10","eslint":"8.21.0"} 
-2022-08-12 09:50:24 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
-2022-08-12 09:50:24 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":608} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":75,"inputBytes":654779,"outputBytes":307161} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":612} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":75,"inputBytes":654783,"outputBytes":307165} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":664} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":75,"inputBytes":654835,"outputBytes":307215} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1032,"outputBytes":583} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":75,"inputBytes":654754,"outputBytes":306014} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":11,"inputBytes":1271,"outputBytes":2787569} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":75,"inputBytes":3441740,"outputBytes":1668900} 
-2022-08-12 09:50:24 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":75,"inputBytes":3441740,"outputBytes":3072630} 
-2022-08-12 09:50:31 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":30} 
-2022-08-12 09:50:33 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":77,"generated":true} 
-2022-08-12 09:50:33 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6716,"outputBytes":3141} 
-2022-08-12 09:50:33 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15629,"outputBytes":7798} 
-2022-08-12 09:50:42 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":109,"errors":0,"warnings":0} 
-2022-08-12 09:50:42 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
-2022-08-12 09:50:42 STATE: Copy: {"input":"tfjs/tfjs.esm.d.ts"} 
-2022-08-12 09:50:42 INFO:  Done... 
-2022-08-12 09:50:42 STATE: API-Extractor: {"succeeeded":true,"errors":0,"warnings":198} 
-2022-08-12 09:50:42 STATE: Copy: {"input":"types/human.d.ts"} 
-2022-08-12 09:50:42 INFO:  Analyze models: {"folders":8,"result":"models/models.json"} 
-2022-08-12 09:50:42 STATE: Models {"folder":"./models","models":13} 
-2022-08-12 09:50:42 STATE: Models {"folder":"../human-models/models","models":42} 
-2022-08-12 09:50:42 STATE: Models {"folder":"../blazepose/model/","models":4} 
-2022-08-12 09:50:42 STATE: Models {"folder":"../anti-spoofing/model","models":1} 
-2022-08-12 09:50:42 STATE: Models {"folder":"../efficientpose/models","models":3} 
-2022-08-12 09:50:42 STATE: Models {"folder":"../insightface/models","models":5} 
-2022-08-12 09:50:42 STATE: Models {"folder":"../movenet/models","models":3} 
-2022-08-12 09:50:42 STATE: Models {"folder":"../nanodet/models","models":4} 
-2022-08-12 09:50:43 STATE: Models: {"count":57,"totalSize":383017442} 
-2022-08-12 09:50:43 INFO:  Human Build complete... {"logFile":"test/build.log"} 
+2022-08-15 11:28:08 DATA:  Build {"name":"@vladmandic/human","version":"2.9.3"} 
+2022-08-15 11:28:08 INFO:  Application: {"name":"@vladmandic/human","version":"2.9.3"} 
+2022-08-15 11:28:08 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 
+2022-08-15 11:28:08 INFO:  Toolchain: {"build":"0.7.9","esbuild":"0.15.3","typescript":"4.7.4","typedoc":"0.23.10","eslint":"8.22.0"} 
+2022-08-15 11:28:08 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
+2022-08-15 11:28:08 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]} 
+2022-08-15 11:28:08 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":608} 
+2022-08-15 11:28:08 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":75,"inputBytes":655247,"outputBytes":307391} 
+2022-08-15 11:28:08 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":612} 
+2022-08-15 11:28:08 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":75,"inputBytes":655251,"outputBytes":307395} 
+2022-08-15 11:28:08 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":664} 
+2022-08-15 11:28:08 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":75,"inputBytes":655303,"outputBytes":307445} 
+2022-08-15 11:28:08 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358} 
+2022-08-15 11:28:08 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1032,"outputBytes":583} 
+2022-08-15 11:28:08 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":75,"inputBytes":655222,"outputBytes":306242} 
+2022-08-15 11:28:09 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":11,"inputBytes":1271,"outputBytes":2787569} 
+2022-08-15 11:28:09 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":75,"inputBytes":3442208,"outputBytes":1669116} 
+2022-08-15 11:28:09 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":75,"inputBytes":3442208,"outputBytes":3072985} 
+2022-08-15 11:28:14 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":30} 
+2022-08-15 11:28:15 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":77,"generated":true} 
+2022-08-15 11:28:15 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6716,"outputBytes":3141} 
+2022-08-15 11:28:15 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15629,"outputBytes":7798} 
+2022-08-15 11:28:24 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":109,"errors":0,"warnings":0} 
+2022-08-15 11:28:24 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
+2022-08-15 11:28:24 STATE: Copy: {"input":"tfjs/tfjs.esm.d.ts"} 
+2022-08-15 11:28:24 INFO:  Done... 
+2022-08-15 11:28:24 STATE: API-Extractor: {"succeeeded":true,"errors":0,"warnings":198} 
+2022-08-15 11:28:24 STATE: Copy: {"input":"types/human.d.ts"} 
+2022-08-15 11:28:24 INFO:  Analyze models: {"folders":8,"result":"models/models.json"} 
+2022-08-15 11:28:24 STATE: Models {"folder":"./models","models":13} 
+2022-08-15 11:28:24 STATE: Models {"folder":"../human-models/models","models":42} 
+2022-08-15 11:28:24 STATE: Models {"folder":"../blazepose/model/","models":4} 
+2022-08-15 11:28:24 STATE: Models {"folder":"../anti-spoofing/model","models":1} 
+2022-08-15 11:28:24 STATE: Models {"folder":"../efficientpose/models","models":3} 
+2022-08-15 11:28:24 STATE: Models {"folder":"../insightface/models","models":5} 
+2022-08-15 11:28:24 STATE: Models {"folder":"../movenet/models","models":3} 
+2022-08-15 11:28:24 STATE: Models {"folder":"../nanodet/models","models":4} 
+2022-08-15 11:28:25 STATE: Models: {"count":57,"totalSize":383017442} 
+2022-08-15 11:28:25 INFO:  Human Build complete... {"logFile":"test/build.log"} 

test/node.js

@@ -5,7 +5,7 @@ const { fork } = require('child_process');
 const log = require('@vladmandic/pilogger');
 
 let logFile = 'test.log';
-log.configure({ inspect: { breakLength: 500 } });
+log.configure({ inspect: { breakLength: 350 } });
 
 const tests = [
   'test-node.js',

test/test-main.js

@@ -12,7 +12,8 @@ const log = (status, ...data) => {
 };
 
 process.on('uncaughtException', (err) => {
-  log('error', 'uncaughtException', lastOp, err);
+  log('error', 'uncaughtException', lastOp, err); // abort immediately
+  process.exit(1);
 });
 
 async function testHTTP() {
@@ -74,12 +75,17 @@ async function testInstance(human) {
   log('info', 'human version:', human.version);
   log('info', 'platform:', human.env.platform, 'agent:', human.env.agent);
   log('info', 'tfjs version:', human.tf.version.tfjs);
-  const bindingVer = human.tf.backend()['binding'] ? human.tf.backend()['binding']['TF_Version'] : null;
-  if (bindingVer) log('info', 'tensorflow binding version:', bindingVer);
+  const env = JSON.parse(JSON.stringify(human.env));
+  env.kernels = human.env.kernels.length;
+  log('info', 'env:', env);
 
   await human.load();
-  if (config.backend === human.tf.getBackend()) log('state', 'passed: set backend:', config.backend);
-  else log('error', 'failed: set backend:', config.backend);
+  if (config.backend === human.tf.getBackend()) {
+    log('state', 'passed: set backend:', config.backend);
+  } else {
+    log('error', 'failed: set backend:', config.backend); // abort immediately
+    return false;
+  }
   log('state', 'tensors', human.tf.memory().numTensors);
 
   if (human.models) {
@@ -296,7 +302,11 @@ async function test(Human, inputConfig) {
 
   // test warmup sequences
   log('info', 'test: warmup');
-  await testInstance(human);
+  res = await testInstance(human);
+  if (!res) {
+    log('error', 'failed: instance backend:', human.tf.getBackend());
+    return;
+  }
   config.cacheSensitivity = 0;
   config.warmup = 'none';
   res = await testWarmup(human, 'default');
@@ -475,7 +485,7 @@ async function test(Human, inputConfig) {
   // test face attention
   log('info', 'test face attention');
   human.models.facemesh = null;
-  config.face.attention = { enabled: true };
+  config.face.attention = { enabled: true, modelPath: 'https://vladmandic.github.io/human-models/models/facemesh-attention.json' };
   res = await testDetect(human, 'samples/in/ai-face.jpg', 'face attention');
   if (!res || !res.face[0] || res.face[0].mesh.length !== 478 || Object.keys(res.face[0].annotations).length !== 36) log('error', 'failed: face attention', { mesh: res.face?.[0]?.mesh?.length, annotations: Object.keys(res.face?.[0]?.annotations | {}).length });
   else log('state', 'passed: face attention');

test/test-node-gpu.js

@@ -1,5 +1,5 @@
 process.env.TF_CPP_MIN_LOG_LEVEL = '2';
-const Human = require('../dist/human.node-gpu.js').default;
+const H = require('../dist/human.node-gpu.js');
 const test = require('./test-main.js').test;
 
 const config = {
@@ -25,4 +25,8 @@ const config = {
   filter: { enabled: false },
 };
 
-test(Human, config);
+async function main() {
+  test(H.Human, config);
+}
+
+main();

test/test-node-wasm.js

@@ -1,20 +1,21 @@
+const log = require('@vladmandic/pilogger');
 const tf = require('@tensorflow/tfjs'); // wasm backend requires tfjs to be loaded first
 const wasm = require('@tensorflow/tfjs-backend-wasm'); // wasm backend does not get auto-loaded in nodejs
 const { Canvas, Image } = require('canvas');
-const Human = require('../dist/human.node-wasm.js');
+const H = require('../dist/human.node-wasm.js');
 const test = require('./test-main.js').test;
 
 // @ts-ignore
-Human.env.Canvas = Canvas; // requires monkey-patch as wasm does not have tf.browser namespace
+H.env.Canvas = Canvas; // requires monkey-patch as wasm does not have tf.browser namespace
 // @ts-ignore
-Human.env.Image = Image; // requires monkey-patch as wasm does not have tf.browser namespace
+H.env.Image = Image; // requires monkey-patch as wasm does not have tf.browser namespace
 
 const config = {
   cacheSensitivity: 0,
   modelBasePath: 'https://vladmandic.github.io/human/models/',
   backend: 'wasm',
-  wasmPath: 'node_modules/@tensorflow/tfjs-backend-wasm/dist/',
-  // wasmPath: `cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`,
+  // wasmPath: 'node_modules/@tensorflow/tfjs-backend-wasm/dist/',
+  wasmPath: `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`,
   debug: false,
   async: false,
   face: {
@@ -38,7 +39,9 @@ async function main() {
   wasm.setWasmPaths(config.wasmPath);
   await tf.setBackend('wasm');
   await tf.ready();
-  test(Human.Human, config);
+  H.env.updateBackend();
+  log.info(H.env.wasm);
+  test(H.Human, config);
 }
 
 main();

test/test-node.js

@@ -1,5 +1,6 @@
 process.env.TF_CPP_MIN_LOG_LEVEL = '2';
-const Human = require('../dist/human.node.js').default;
+
+const H = require('../dist/human.node.js');
 const test = require('./test-main.js').test;
 
 const config = {
@@ -25,4 +26,8 @@ const config = {
   filter: { enabled: false },
 };
 
-test(Human, config);
+async function main() {
+  test(H.Human, config);
+}
+
+main();