added multi backend support

README.md

@@ -1,8 +1,10 @@
-# Human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction & Emotion Prediction
+# Human Library
+
+## 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction & Emotion Prediction
 
 - [**Documentation**](https://github.com/vladmandic/human#readme)
 - [**Code Repository**](https://github.com/vladmandic/human)
-- [**Package**](https://www.npmjs.com/package/@vladmandic/human)
+- [**NPM Package**](https://www.npmjs.com/package/@vladmandic/human)
 - [**Issues Tracker**](https://github.com/vladmandic/human/issues)
 - [**Live Demo**](https://vladmandic.github.io/human/demo/demo-esm.html)
 
@@ -30,6 +32,25 @@ Compatible with Browser, WebWorker and NodeJS execution!
 
 There are multiple ways to use `Human` library, pick one that suits you:
 
+### Included
+
+- `dist/human.js`: IIFE format minified bundle with TFJS for Browsers
+- `dist/human.esm.js`: ESM format minified bundle with TFJS for Browsers
+- `dist/human.esm-nobundle.js`: ESM format non-minified bundle without TFJS for Browsers
+- `dist/human.cjs`: CommonJS format minified bundle with TFJS for NodeJS
+- `dist/human-nobundle.cjs`: CommonJS format non-minified bundle without TFJS for NodeJS
+
+All versions include `sourcemap`
+
+Defaults:
+```json
+  {
+    "main": "dist/human.cjs",
+    "module": "dist/human.esm.js",
+    "browser": "dist/human.esm.js",
+  }
+```
+
 ### 1. [IIFE](https://developer.mozilla.org/en-US/docs/Glossary/IIFE) script
 
 *Simplest way for usage within Browser*
@@ -43,8 +64,6 @@ Simply download `dist/human.js`, include it in your `HTML` file & it's ready to
 IIFE script auto-registers global namespace `human` within global `Window` object  
 This way you can also use `Human` library within embbedded `<script>` tag within your `html` page for all-in-one approach  
 
-IIFE script is distributed in minified form with attached sourcemap  
-
 ### 2. [ESM](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/import) module
 
 *Recommended for usage within `Browser`*  
@@ -53,18 +72,25 @@ IIFE script is distributed in minified form with attached sourcemap
 
 If you're using bundler *(such as rollup, webpack, esbuild)* to package your client application, you can import ESM version of `Human` library which supports full tree shaking  
 
+Install with:
+```shell
+  npm install @vladmandic/human
+```
 ```js
   import human from '@vladmandic/human'; // points to @vladmandic/human/dist/human.esm.js
 ```
 
 Or if you prefer to package your version of `tfjs`, you can use `nobundle` version
 
+Install with:
+```shell
+  npm install @vladmandic/human @tensorflow/tfjs-node
+```
 ```js
   import tf from '@tensorflow/tfjs'
-  import human from '@vladmandic/human/dist/human.nobundle.js'; // same functionality as default import, but without tfjs bundled
+  import human from '@vladmandic/human/dist/human.esm-nobundle.js'; // same functionality as default import, but without tfjs bundled
 ```
 
-
 #### 2.2 Using Script Module
 You could use same syntax within your main `JS` file if it's imported with `<script type="module">`  
 
@@ -74,11 +100,10 @@ You could use same syntax within your main `JS` file if it's imported with `<scr
 and then in your `index.js`
 
 ```js
-  import human from 'dist/human.esm.js';
+  import * as tf from `https://cdnjs.cloudflare.com/ajax/libs/tensorflow/2.6.0/tf.es2017.min.js`; // load tfjs directly from CDN link
+  import human from 'dist/human.esm.js'; // for direct import must use path to module, not package name
 ```
 
-ESM script is distributed in minified form with attached sourcemap  
-
 ### 3. [NPM](https://www.npmjs.com/) module
 
 *Recommended for `NodeJS` projects that will execute in the backend*  
@@ -88,13 +113,22 @@ You also need to install and include `tfjs-node` or `tfjs-node-gpu` in your proj
 
 Install with:
 ```shell
-  npm install @tensorflow/tfjs-node @vladmandic/human
+  npm install @vladmandic/human
 ```
 And then use with:
 ```js
-  const tf = require('@tensorflow/tfjs-node'); 
-  const human = require('@vladmandic/human'); // points to @vladmandic/human/dist/human.node.js
+  const human = require('@vladmandic/human'); // points to @vladmandic/human/dist/human.cjs
 ```
+or
+```shell
+  npm install @vladmandic/human @tensorflow/tfjs-node
+```
+And then use with:
+```js
+  const tf = require('@tensorflow/tfjs-node'); // can also use '@tensorflow/tfjs-node-gpu' if you have environment with CUDA extensions
+  const human = require('@vladmandic/human/dist/human-nobundle.cjs');
+```
+
 
 Since NodeJS projects load `weights` from local filesystem instead of using `http` calls, you must modify default configuration to include correct paths with `file://` prefix  
 For example:

demo/demo-esm.html

@@ -1,5 +1,7 @@
 <head>
-  <script src="https://cdn.jsdelivr.net/npm/quicksettings"></script>
+  <script src="../assets/quicksettings.js"></script>
+  <script src="../assets/tf.min.js"></script>
+  <script src="../assets/tf-backend-wasm.min.js"></script>
   <script src="./demo-esm.js" type="module"></script>
 </head>
 <body style="margin: 0; background: black; color: white; font-family: 'Segoe UI'; font-variant: small-caps">

demo/demo-esm.js

@@ -1,8 +1,9 @@
-/* global QuickSettings */
+/* global tf, QuickSettings */
 
 import human from '../dist/human.esm.js';
 
 const ui = {
+  backend: 'wasm',
   baseColor: 'rgba(255, 200, 255, 0.3)',
   baseLabel: 'rgba(255, 200, 255, 0.8)',
   baseFont: 'small-caps 1.2rem "Segoe UI"',
@@ -34,6 +35,15 @@ function str(...msg) {
   return line;
 }
 
+async function setupTF() {
+  if (ui.backend === 'wasm') {
+    tf.env().set('WASM_HAS_SIMD_SUPPORT', false);
+    tf.env().set('WASM_HAS_MULTITHREAD_SUPPORT', true);
+  }
+  await human.tf.setBackend(ui.backend);
+  await human.tf.ready();
+}
+
 async function drawFace(result, canvas) {
   const ctx = canvas.getContext('2d');
   ctx.strokeStyle = ui.baseColor;
@@ -217,9 +227,10 @@ async function runHumanDetect(input, canvas) {
     drawHand(result.hand, canvas);
     // update log
     const engine = await human.tf.engine();
-    const memory = `Memory: ${engine.state.numBytes.toLocaleString()} bytes ${engine.state.numDataBuffers.toLocaleString()} buffers ${engine.state.numTensors.toLocaleString()} tensors`;
+    const memory = `${engine.state.numBytes.toLocaleString()} bytes ${engine.state.numDataBuffers.toLocaleString()} buffers ${engine.state.numTensors.toLocaleString()} tensors`;
+    const gpu = engine.backendInstance.numBytesInGPU ? `GPU: ${engine.backendInstance.numBytesInGPU.toLocaleString()} bytes` : '';
     log.innerText = `
-      TFJS Version: ${human.tf.version_core} | ${memory} | GPU: ${engine.backendInstance.numBytesInGPU.toLocaleString()} bytes
+      TFJS Version: ${human.tf.version_core} | Backend: ${human.tf.getBackend()} | Memory: ${memory} ${gpu}
       Performance: ${str(result.performance)} | Object size: ${(str(result)).length.toLocaleString()} bytes
     `;
     // rinse & repeate
@@ -255,6 +266,11 @@ function setupGUI() {
     }
     runHumanDetect(video, canvas);
   });
+  settings.addDropDown('Backend', ['webgl', 'wasm', 'cpu'], (val) => {
+    ui.backend = val.value;
+    setupTF();
+  });
+  settings.addHTML('title', 'Enabled Models'); settings.hideTitle('title');
   settings.addBoolean('Face Detect', config.face.enabled, (val) => config.face.enabled = val);
   settings.addBoolean('Face Mesh', config.face.mesh.enabled, (val) => config.face.mesh.enabled = val);
   settings.addBoolean('Face Iris', config.face.iris.enabled, (val) => config.face.iris.enabled = val);
@@ -263,7 +279,7 @@ function setupGUI() {
   settings.addBoolean('Face Emotion', config.face.emotion.enabled, (val) => config.face.emotion.enabled = val);
   settings.addBoolean('Body Pose', config.body.enabled, (val) => config.body.enabled = val);
   settings.addBoolean('Hand Pose', config.hand.enabled, (val) => config.hand.enabled = val);
-  settings.addHTML('line3', '<hr>'); settings.hideTitle('line3');
+  settings.addHTML('title', 'Model Parameters'); settings.hideTitle('title');
   settings.addRange('Max Objects', 1, 20, 5, 1, (val) => {
     config.face.detector.maxFaces = parseInt(val);
     config.body.maxDetections = parseInt(val);
@@ -288,7 +304,7 @@ function setupGUI() {
     config.face.detector.iouThreshold = parseFloat(val);
     config.hand.iouThreshold = parseFloat(val);
   });
-  settings.addHTML('line1', '<hr>'); settings.hideTitle('line1');
+  settings.addHTML('title', 'UI Options'); settings.hideTitle('title');
   settings.addBoolean('Draw Boxes', true);
   settings.addBoolean('Draw Points', true);
   settings.addBoolean('Draw Polygons', true);
@@ -342,8 +358,7 @@ async function setupImage() {
 
 async function main() {
   // initialize tensorflow
-  await human.tf.setBackend('webgl');
-  await human.tf.ready();
+  await setupTF();
   // setup ui control panel
   await setupGUI();
   // setup webcam

dist/human-nobundle.cjs

@@ -5236,4 +5236,4 @@ exports.ssrnet = ssrnet;
 exports.posenet = posenet;
 exports.handpose = handpose;
 exports.tf = tf;
-//# sourceMappingURL=human.node.js.map
+//# sourceMappingURL=human-nobundle.cjs.map

package.json

@@ -3,9 +3,9 @@
   "version": "0.3.1",
   "description": "human: 3D Face Detection, Iris Tracking and Age & Gender Prediction",
   "sideEffects": false,
-  "main": "dist/human.node.js",
+  "main": "dist/human.cjs",
   "module": "dist/human.esm.js",
-  "browser": "dist/human.esmjs",
+  "browser": "dist/human.esm.js",
   "author": "Vladimir Mandic <mandic00@live.com>",
   "bugs": {
     "url": "https://github.com/vladmandic/human/issues"
@@ -36,11 +36,12 @@
   "scripts": {
     "start": "node --trace-warnings --trace-uncaught --no-deprecation demo/demo-node.js",
     "lint": "eslint src/*.js demo/*.js",
-    "build": "rimraf dist/ && npm run build-iife && npm run build-esm && npm run build-nobundle && npm run build-node && ls -l dist/",
     "build-iife": "esbuild --bundle --platform=browser --sourcemap --target=esnext --format=iife --minify --external:fs --global-name=human --outfile=dist/human.js src/index.js",
-    "build-esm": "esbuild --bundle --platform=browser --sourcemap --target=esnext --format=esm --external:fs --outfile=dist/human.esm.js src/index.js",
-    "build-nobundle": "esbuild --bundle --platform=browser --sourcemap --target=esnext --format=esm --minify --external:@tensorflow --external:fs --outfile=dist/human.nobundle.js src/index.js",
-    "build-node": "esbuild --bundle --platform=node --sourcemap --target=esnext --format=cjs --external:@tensorflow --outfile=dist/human.node.js src/index.js",
+    "build-esm-bundle": "esbuild --bundle --platform=browser --sourcemap --target=esnext --format=esm --external:fs --outfile=dist/human.esm.js src/index.js",
+    "build-esm-nobundle": "esbuild --bundle --platform=browser --sourcemap --target=esnext --format=esm --minify --external:@tensorflow --external:fs --outfile=dist/human.esm-nobundle.js src/index.js",
+    "build-node-bundle": "esbuild --bundle --platform=node --sourcemap --target=esnext --format=cjs --minify --outfile=dist/human.cjs src/index.js",
+    "build-node-nobundle": "esbuild --bundle --platform=node --sourcemap --target=esnext --format=cjs --external:@tensorflow --outfile=dist/human-nobundle.cjs src/index.js",
+    "build": "rimraf dist/* && npm run build-iife && npm run build-esm-bundle && npm run build-esm-nobundle && npm run build-node-bundle && npm run build-node-nobundle && ls -l dist/",
     "update": "npm update --depth 20 && npm dedupe && npm prune && npm audit"
   },
   "keywords": [