update readme

Signed-off-by: Vladimir Mandic <mandic00@live.com>

.api-extractor.json

@@ -1,9 +1,8 @@
 {
   "$schema": "https://developer.microsoft.com/json-schemas/api-extractor/v7/api-extractor.schema.json",
   "mainEntryPointFilePath": "types/lib/src/human.d.ts",
-  "bundledPackages": ["@tensorflow/tfjs-core", "@tensorflow/tfjs-data", "@tensorflow/tfjs-layers", "@tensorflow/tfjs-converter"],
   "compiler": {
-    "skipLibCheck": false
+    "skipLibCheck": true
   },
   "newlineKind": "lf",
   "dtsRollup": {

.eslintrc.json

@@ -1,5 +1,9 @@
 {
-  "globals": {},
+  "globals": {
+  },
+  "rules": {
+    "@typescript-eslint/no-require-imports":"off"
+  },
   "overrides": [
     {
       "files": ["**/*.ts"],
@@ -34,6 +38,8 @@
         "@typescript-eslint/no-unsafe-call":"off",
         "@typescript-eslint/no-unsafe-member-access":"off",
         "@typescript-eslint/no-unsafe-return":"off",
+        "@typescript-eslint/no-require-imports":"off",
+        "@typescript-eslint/no-empty-object-type":"off",
         "@typescript-eslint/non-nullable-type-assertion-style":"off",
         "@typescript-eslint/prefer-for-of":"off",
         "@typescript-eslint/prefer-nullish-coalescing":"off",
@@ -155,9 +161,7 @@
         "node": false,
         "es2021": false
       },
-      "extends": [
+      "extends": [] 
-        "plugin:json/recommended"
-      ] 
     },
     {
       "files": ["**/*.html"],
@@ -173,6 +177,7 @@
       "extends": ["plugin:@html-eslint/recommended"],
       "rules": {
         "@html-eslint/element-newline":"off",
+        "@html-eslint/attrs-newline":"off",
         "@html-eslint/indent": ["error", 2]
       }
     },

.gitignore

@@ -5,3 +5,5 @@ package-lock.json
 *.swp
 samples/**/*.mp4
 samples/**/*.webm
+temp
+tmp

.npmrc

@@ -2,3 +2,4 @@ force=true
 omit=dev
 legacy-peer-deps=true
 strict-peer-dependencies=false
+node-options='--no-deprecation'

CHANGELOG.md

@@ -1,6 +1,6 @@
 # @vladmandic/human  
 
-  Version: **3.2.1**  
+  Version: **3.3.5**  
   Description: **Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition**  
   
   Author: **Vladimir Mandic <mandic00@live.com>**  
@@ -9,12 +9,42 @@
   
 ## Changelog
   
+### **3.3.5** 2025/02/05 mandic00@live.com
+
+
+### **origin/main** 2024/10/24 mandic00@live.com
+
+- add human.draw.tensor method
+
+### **3.3.4** 2024/10/24 mandic00@live.com
+
+
+### **3.3.3** 2024/10/14 mandic00@live.com
+
+- add loaded property to model stats and mark models not loaded correctly.
+- release build
+
+### **3.3.2** 2024/09/11 mandic00@live.com
+
+- full rebuild
+
+### **3.3.1** 2024/09/11 mandic00@live.com
+
+- add config.face.detector.square option
+- human 3.3 alpha test run
+- human 3.3 alpha with new build environment
+- release rebuild
+- fix flazeface tensor scale and update build platform
+
+### **3.2.2** 2024/04/17 mandic00@live.com
+
+
+### **release: 3.2.1** 2024/02/15 mandic00@live.com
+
+
 ### **3.2.1** 2024/02/15 mandic00@live.com
 
 
-### **origin/main** 2023/12/06 mandic00@live.com
-
-
 ### **3.2.0** 2023/12/06 mandic00@live.com
 
 - set browser false when navigator object is empty

README.md

@@ -4,7 +4,6 @@
 ![Last Commit](https://img.shields.io/github/last-commit/vladmandic/human?style=flat-square&svg=true)
 ![License](https://img.shields.io/github/license/vladmandic/human?style=flat-square&svg=true)
 ![GitHub Status Checks](https://img.shields.io/github/checks-status/vladmandic/human/main?style=flat-square&svg=true)
-![Vulnerabilities](https://img.shields.io/snyk/vulnerabilities/github/vladmandic/human?style=flat-square&svg=true)
 
 # Human Library
 
@@ -31,15 +30,20 @@
 
 ## Compatibility
 
-- **Browser**:  
+**Browser**:  
-  Compatible with both desktop and mobile platforms  
+  - Compatible with both desktop and mobile platforms  
-  Compatible with *CPU*, *WebGL*, *WASM* backends  
+  - Compatible with *WebGPU*, *WebGL*, *WASM*, *CPU* backends  
-  Compatible with *WebWorker* execution  
+  - Compatible with *WebWorker* execution  
-  Compatible with *WebView*  
+  - Compatible with *WebView*  
-- **NodeJS**:  
+  - Primary platform: *Chromium*-based browsers  
-  Compatibile with *WASM* backend for executions on architectures where *tensorflow* binaries are not available  
+  - Secondary platform: *Firefox*, *Safari*
-  Compatible with *tfjs-node* using software execution via *tensorflow* shared libraries  
+
-  Compatible with *tfjs-node* using GPU-accelerated execution via *tensorflow* shared libraries and nVidia CUDA  
+**NodeJS**:  
+  - Compatibile with *WASM* backend for executions on architectures where *tensorflow* binaries are not available  
+  - Compatible with *tfjs-node* using software execution via *tensorflow* shared libraries  
+  - Compatible with *tfjs-node* using GPU-accelerated execution via *tensorflow* shared libraries and nVidia CUDA  
+  - Supported versions are from **14.x** to **22.x**  
+  - NodeJS version **23.x** is not supported due to breaking changes and issues with `@tensorflow/tfjs`  
 
 <br>
 

demo/facedetect/facedetect.js

@@ -10,12 +10,13 @@ import { Human } from '../../dist/human.esm.js';
 let loader;
 
 const humanConfig = { // user configuration for human, used to fine-tune behavior
+  cacheSensitivity: 0,
   debug: true,
   modelBasePath: 'https://vladmandic.github.io/human-models/models/',
   filter: { enabled: true, equalization: false, flip: false },
   face: {
     enabled: true,
-    detector: { rotation: false, maxDetected: 100, minConfidence: 0.2, return: true },
+    detector: { rotation: false, maxDetected: 100, minConfidence: 0.2, return: true, square: false },
     iris: { enabled: true },
     description: { enabled: true },
     emotion: { enabled: true },
@@ -93,7 +94,7 @@ function addFace(face, source) {
     e.preventDefault();
     document.getElementById('description').innerHTML = canvas.title;
   };
-  human.tf.browser.draw(face.tensor, canvas);
+  human.draw.tensor(face.tensor, canvas);
   human.tf.dispose(face.tensor);
   return canvas;
 }
@@ -149,7 +150,7 @@ async function main() {
   showLoader('compiling models');
   await human.warmup();
   showLoader('loading images');
-  const images = ['group-1.jpg', 'group-2.jpg', 'group-3.jpg', 'group-4.jpg', 'group-5.jpg', 'group-6.jpg', 'group-7.jpg', 'solvay1927.jpg', 'stock-group-1.jpg', 'stock-group-2.jpg'];
+  const images = ['group-1.jpg', 'group-2.jpg', 'group-3.jpg', 'group-4.jpg', 'group-5.jpg', 'group-6.jpg', 'group-7.jpg', 'solvay1927.jpg', 'stock-group-1.jpg', 'stock-group-2.jpg', 'stock-models-6.jpg', 'stock-models-7.jpg'];
   const imageUris = images.map((a) => `../../samples/in/${a}`);
   for (let i = 0; i < imageUris.length; i++) addImage(imageUris[i]);
   initDragAndDrop();

demo/faceid/index.ts

@@ -11,7 +11,7 @@ import * as H from '../../dist/human.esm.js'; // equivalent of @vladmandic/Human
 import * as indexDb from './indexdb'; // methods to deal with indexdb
 
 const humanConfig = { // user configuration for human, used to fine-tune behavior
-  cacheSensitivity: 0,
+  cacheSensitivity: 0.01,
   modelBasePath: '../../models',
   filter: { enabled: true, equalization: true }, // lets run with histogram equilizer
   debug: true,
@@ -240,7 +240,7 @@ async function detectFace() {
   if (!current?.face?.tensor || !current?.face?.embedding) return false;
   console.log('face record:', current.face); // eslint-disable-line no-console
   log(`detected face: ${current.face.gender} ${current.face.age || 0}y distance ${100 * (current.face.distance || 0)}cm/${Math.round(100 * (current.face.distance || 0) / 2.54)}in`);
-  await human.tf.browser.draw(current.face.tensor, dom.canvas);
+  await human.draw.tensor(current.face.tensor, dom.canvas);
   if (await indexDb.count() === 0) {
     log('face database is empty: nothing to compare face with');
     document.body.style.background = 'black';

demo/facematch/facematch.js

@@ -11,7 +11,7 @@ const userConfig = {
   backend: 'humangl',
   async: true,
   warmup: 'none',
-  cacheSensitivity: 0,
+  cacheSensitivity: 0.01,
   debug: true,
   modelBasePath: '../../models/',
   deallocate: true,
@@ -70,7 +70,7 @@ async function selectFaceCanvas(face) {
   if (face.tensor) {
     title('Sorting Faces by Similarity');
     const c = document.getElementById('orig');
-    await human.tf.browser.draw(face.tensor, c);
+    await human.draw.tensor(face.tensor, c);
     const arr = db.map((rec) => rec.embedding);
     const res = await human.match.find(face.embedding, arr);
     log('Match:', db[res.index].name);
@@ -97,7 +97,7 @@ async function selectFaceCanvas(face) {
     canvas.tag.similarity = similarity;
     // get best match
     // draw the canvas
-    await human.tf.browser.draw(current.tensor, canvas);
+    await human.draw.tensor(current.tensor, canvas);
     const ctx = canvas.getContext('2d');
     ctx.font = 'small-caps 1rem "Lato"';
     ctx.fillStyle = 'rgba(0, 0, 0, 1)';
@@ -144,7 +144,7 @@ async function addFaceCanvas(index, res, fileName) {
       gender: ${Math.round(100 * res.face[i].genderScore)}% ${res.face[i].gender}
       emotion: ${emotion}
     `.replace(/  /g, ' ');
-    await human.tf.browser.draw(res.face[i].tensor, canvas);
+    await human.draw.tensor(res.face[i].tensor, canvas);
     const ctx = canvas.getContext('2d');
     if (!ctx) return;
     ctx.font = 'small-caps 0.8rem "Lato"';

demo/index.js

@@ -223,7 +223,7 @@ async function calcSimmilarity(result) {
     log('setting face compare baseline:', result.face[0]);
     if (result.face[0].tensor) {
       const c = document.getElementById('orig');
-      human.tf.browser.draw(result.face[0].tensor, c);
+      human.draw.tensor(result.face[0].tensor, c);
     } else {
       document.getElementById('compare-canvas').getContext('2d').drawImage(compare.original.canvas, 0, 0, 200, 200);
     }

demo/nodejs/node-bench.js

@@ -7,7 +7,7 @@ const log = require('@vladmandic/pilogger'); // eslint-disable-line node/no-unpu
 const canvas = require('canvas'); // eslint-disable-line node/no-unpublished-require
 
 const config = {
-  cacheSensitivity: 0,
+  cacheSensitivity: 0.01,
   wasmPlatformFetch: true,
   modelBasePath: 'https://vladmandic.github.io/human-models/models/',
 };

demo/nodejs/node.js

@@ -92,7 +92,7 @@ async function detect(input) {
   try {
     result = await human.detect(tensor, myConfig);
   } catch (err) {
-    log.error('caught');
+    log.error('caught', err);
   }
 
   // dispose image tensor as we no longer need it

demo/nodejs/process-folder.js

@@ -20,7 +20,7 @@ const config = { // just enable all and leave default settings
   modelBasePath: 'file://models',
   debug: true,
   softwareKernels: true, // slower but enhanced precision since face rotation can work in software mode in nodejs environments
-  cacheSensitivity: 0,
+  cacheSensitivity: 0.01,
   face: { enabled: true, detector: { maxDetected: 100, minConfidence: 0.1 } },
   object: { enabled: true, maxDetected: 100, minConfidence: 0.1 },
   gesture: { enabled: true },

demo/segmentation/index.html

@@ -20,7 +20,7 @@
       body { font-size: 1rem; font-family: "CenturyGothic", "Segoe UI", sans-serif; font-variant: small-caps; width: -webkit-fill-available; height: 100%; background: black; color: white; overflow: hidden; margin: 0; }
       select { font-size: 1rem; font-family: "CenturyGothic", "Segoe UI", sans-serif; font-variant: small-caps; background: gray; color: white; border: none; }
     </style>
-  <script src="../segmentation/index.js" type="module"></script>
+    <script src="../segmentation/index.js" type="module"></script>
   </head>
   <body>
     <noscript><h1>javascript is required</h1></noscript>

demo/segmentation/index.js

@@ -85,7 +85,7 @@ async function main() {
       return;
     }
     dom.fps.innerText = `fps: ${Math.round(10000 / (t1 - t0)) / 10}`; // mark performance
-    human.tf.browser.draw(rgba, dom.output); // draw raw output
+    human.draw.tensor(rgba, dom.output); // draw raw output
     human.tf.dispose(rgba); // dispose tensors
     ctxMerge.globalCompositeOperation = 'source-over';
     ctxMerge.drawImage(dom.background, 0, 0); // draw original video to first stacked canvas

dist/tfjs.version.js

@@ -4,4 +4,4 @@
   author: <https://github.com/vladmandic>'
 */
 
-var e="4.17.0";var s="4.17.0";var t="4.17.0";var n="4.17.0";var r="4.17.0";var i="4.14.0";var h={tfjs:e,"tfjs-core":e,"tfjs-converter":s,"tfjs-backend-cpu":t,"tfjs-backend-webgl":n,"tfjs-backend-wasm":r,"tfjs-backend-webgpu":i};export{h as version};
+var e="4.22.0";var s="4.22.0";var t="4.22.0";var n="4.22.0";var r="4.22.0";var i="4.22.0";var h={tfjs:e,"tfjs-core":e,"tfjs-converter":s,"tfjs-backend-cpu":t,"tfjs-backend-webgl":n,"tfjs-backend-wasm":r,"tfjs-backend-webgpu":i};export{h as version};

package.json

@@ -1,6 +1,6 @@
 {
   "name": "@vladmandic/human",
-  "version": "3.2.1",
+  "version": "3.3.5",
   "description": "Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition",
   "sideEffects": false,
   "main": "dist/human.node.js",
@@ -8,13 +8,7 @@
   "browser": "dist/human.esm.js",
   "types": "types/human.d.ts",
   "exports": {
-    "node": {
+    "node": "./dist/human.node.js",
-      "require": "./dist/human.node.js",
-      "import": "./dist/human.node.js",
-      "module": "./dist/human.node.js"
-    },
-    "require": "./dist/human.node.js",
-    "import": "./dist/human.esm.js",
     "script": "./dist/human.js",
     "module": "./dist/human.esm.js",
     "types": "./types/human.d.ts",
@@ -29,7 +23,9 @@
     "dist/human.node-wasm": "./dist/human.node-wasm.js",
     "dist/human.node-wasm.js": "./dist/human.node-wasm.js",
     "dist/human.node-gpu": "./dist/human.node-gpu.js",
-    "dist/human.node-gpu.js": "./dist/human.node-gpu.js"
+    "dist/human.node-gpu.js": "./dist/human.node-gpu.js",
+    "require": "./dist/human.node.js",
+    "import": "./dist/human.esm.js"
   },
   "author": "Vladimir Mandic <mandic00@live.com>",
   "bugs": {
@@ -78,39 +74,40 @@
     "tensorflow"
   ],
   "devDependencies": {
-    "@html-eslint/eslint-plugin": "^0.21.0",
+    "@html-eslint/eslint-plugin": "^0.26.0",
-    "@html-eslint/parser": "^0.21.0",
+    "@html-eslint/parser": "^0.26.0",
-    "@microsoft/api-extractor": "^7.40.1",
+    "@microsoft/api-extractor": "^7.49.2",
-    "@tensorflow/tfjs-backend-cpu": "^4.17.0",
+    "@tensorflow/tfjs-backend-cpu": "^4.22.0",
-    "@tensorflow/tfjs-backend-wasm": "^4.17.0",
+    "@tensorflow/tfjs-backend-wasm": "^4.22.0",
-    "@tensorflow/tfjs-backend-webgl": "^4.17.0",
+    "@tensorflow/tfjs-backend-webgl": "^4.22.0",
-    "@tensorflow/tfjs-backend-webgpu": "4.14.0",
+    "@tensorflow/tfjs-backend-webgpu": "4.22.0",
-    "@tensorflow/tfjs-converter": "^4.17.0",
+    "@tensorflow/tfjs-converter": "^4.22.0",
-    "@tensorflow/tfjs-core": "^4.17.0",
+    "@tensorflow/tfjs-core": "^4.22.0",
-    "@tensorflow/tfjs-data": "^4.17.0",
+    "@tensorflow/tfjs-data": "^4.22.0",
-    "@tensorflow/tfjs-layers": "^4.17.0",
+    "@tensorflow/tfjs-layers": "^4.22.0",
-    "@tensorflow/tfjs-node": "^4.17.0",
+    "@tensorflow/tfjs-node": "^4.22.0",
-    "@tensorflow/tfjs-node-gpu": "^4.17.0",
+    "@tensorflow/tfjs-node-gpu": "^4.22.0",
-    "@types/node": "^20.11.19",
+    "@types/emscripten": "^1.40.0",
+    "@types/node": "^22.13.1",
     "@types/offscreencanvas": "^2019.7.3",
-    "@typescript-eslint/eslint-plugin": "^6.21.0",
+    "@typescript-eslint/eslint-plugin": "^8.8.1",
-    "@typescript-eslint/parser": "^6.21.0",
+    "@typescript-eslint/parser": "^8.8.1",
-    "@vladmandic/build": "^0.9.3",
+    "@vladmandic/build": "^0.10.2",
-    "@vladmandic/pilogger": "^0.4.9",
+    "@vladmandic/pilogger": "^0.5.1",
     "@vladmandic/tfjs": "github:vladmandic/tfjs",
-    "canvas": "^2.11.2",
+    "canvas": "^3.1.0",
-    "esbuild": "^0.19.12",
+    "esbuild": "^0.24.2",
-    "eslint": "8.55.0",
+    "eslint": "8.57.0",
     "eslint-config-airbnb-base": "^15.0.0",
-    "eslint-plugin-html": "^7.1.0",
+    "eslint-plugin-html": "^8.1.2",
-    "eslint-plugin-import": "^2.29.1",
+    "eslint-plugin-import": "^2.31.0",
-    "eslint-plugin-json": "^3.1.0",
+    "eslint-plugin-json": "^4.0.1",
-    "eslint-plugin-markdown": "^3.0.1",
+    "eslint-plugin-markdown": "^5.1.0",
     "eslint-plugin-node": "^11.1.0",
-    "eslint-plugin-promise": "^6.1.1",
+    "eslint-plugin-promise": "^7.1.0",
-    "rimraf": "^5.0.5",
+    "rimraf": "^6.0.1",
-    "tslib": "^2.6.2",
+    "tslib": "^2.8.1",
-    "typedoc": "0.25.4",
+    "typedoc": "0.27.6",
-    "typescript": "~5.3.3"
+    "typescript": "5.7.3"
   }
 }

src/config.ts

@@ -1,7 +1,7 @@
 /* eslint-disable no-multi-spaces */
 
 /** Possible TensorFlow backends */
-export type BackendEnum = '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu';
+export type BackendEnum = '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu' | 'none';
 
 /** Possible values for `human.warmup` */
 export type WarmupEnum = '' | 'none' | 'face' | 'full' | 'body';
@@ -39,6 +39,8 @@ export interface FaceDetectorConfig extends GenericConfig {
   iouThreshold: number,
   /** how much should face box be enlarged over the min/max facial coordinates */
   scale: number,
+  /** automatically pad image to square */
+  square: boolean,
   /** should child models perform on masked image of a face */
   mask: boolean,
   /** should face detection return processed and cropped face tensor that can with an external model for addtional processing?

src/draw/draw.ts

@@ -2,6 +2,7 @@
  * Module that implements helper draw functions, exposed as human.draw
  */
 
+import * as tf from 'dist/tfjs.esm.js';
 import { mergeDeep, now } from '../util/util';
 import { env } from '../util/env';
 import { getCanvasContext, rect } from './primitives';
@@ -14,6 +15,7 @@ import { gesture } from './gesture';
 import { defaultLabels } from './labels';
 import type { Result, PersonResult } from '../result';
 import type { AnyCanvas, DrawOptions } from '../exports';
+import type { Tensor2D } from '../tfjs/types';
 
 let drawTime = 0;
 
@@ -60,6 +62,22 @@ export function canvas(input: AnyCanvas | HTMLImageElement | HTMLVideoElement, o
   ctx.drawImage(input, 0, 0);
 }
 
+/** draw processed canvas */
+export async function tensor(input: Tensor2D, output: HTMLCanvasElement) {
+  if (!input || !output) return;
+  if (!env.browser) return;
+  // const backend = tf.getBackend();
+  // if (backend === 'webgpu') tf.browser.draw(input, output);
+  // else await tf.browser.toPixels(input, output);
+  await tf.browser.toPixels(input, output);
+  // const ctx = getCanvasContext(output) as CanvasRenderingContext2D;
+  // if (!ctx) return;
+  // const image = await process(input);
+  // result.canvas = image.canvas;
+  // human.tf.dispose(image.tensor);
+  // ctx.drawImage(image.canvas, 0, 0);
+}
+
 /** meta-function that performs draw for: canvas, face, body, hand */
 export async function all(inCanvas: AnyCanvas, result: Result, drawOptions?: Partial<DrawOptions>) {
   if (!result?.performance || !inCanvas) return null;

src/face/angles.ts

@@ -60,7 +60,9 @@ export const calculateFaceAngle = (face: FaceResult, imageSize: [number, number]
     let thetaZ: number;
     if (r10 < 1) { // YZX calculation
       if (r10 > -1) {
-        thetaZ = Math.asin(r10);
+        // thetaZ = Math.asin(r10);
+        const cosThetaZ = Math.sqrt(r00 * r00 + r20 * r20); // <https://github.com/vladmandic/human/issues/464>
+        thetaZ = Math.atan2(r10, cosThetaZ);
         thetaY = Math.atan2(-r20, r00);
         thetaX = Math.atan2(-r12, r11);
       } else {
@@ -76,9 +78,9 @@ export const calculateFaceAngle = (face: FaceResult, imageSize: [number, number]
     if (Number.isNaN(thetaX)) thetaX = 0;
     if (Number.isNaN(thetaY)) thetaY = 0;
     if (Number.isNaN(thetaZ)) thetaZ = 0;
-    return { pitch: 2 * -thetaX, yaw: 2 * -thetaY, roll: 2 * -thetaZ };
+    // return { pitch: 2 * -thetaX, yaw: 2 * -thetaY, roll: 2 * -thetaZ };
+    return { pitch: -thetaX, yaw: -thetaY, roll: -thetaZ };
   };
-
   /*
   const meshToEulerAngle = (mesh) => { // simple Euler angle calculation based existing 3D mesh
     const radians = (a1, a2, b1, b2) => Math.atan2(b2 - a2, b1 - a1);

src/face/blazeface.ts

@@ -55,9 +55,20 @@ export async function getBoxes(inputImage: Tensor4D, config: Config): Promise<De
   // sanity check on input
   if ((!inputImage) || (inputImage['isDisposedInternal']) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return [];
   const t: Record<string, Tensor> = {};
-  t.resized = tf.image.resizeBilinear(inputImage, [inputSize, inputSize]);
+  let pad = [0, 0];
+  let scale = [1, 1];
+  if (config?.face?.detector?.square) {
+    const xy = Math.max(inputImage.shape[2], inputImage.shape[1]);
+    pad = [Math.floor((xy - inputImage.shape[2]) / 2), Math.floor((xy - inputImage.shape[1]) / 2)];
+    t.padded = tf.pad(inputImage, [[0, 0], [pad[1], pad[1]], [pad[0], pad[0]], [0, 0]]);
+    scale = [inputImage.shape[2] / xy, inputImage.shape[1] / xy];
+    pad = [pad[0] / inputSize, pad[1] / inputSize];
+  } else {
+    t.padded = inputImage.clone();
+  }
+  t.resized = tf.image.resizeBilinear(t.padded as Tensor4D, [inputSize, inputSize]);
   t.div = tf.div(t.resized, constants.tf127);
-  t.normalized = tf.sub(t.div, constants.tf05);
+  t.normalized = tf.sub(t.div, constants.tf1);
   const res = model?.execute(t.normalized) as Tensor[];
   if (Array.isArray(res) && res.length > 2) { // pinto converted model?
     const sorted = res.sort((a, b) => a.size - b.size);
@@ -81,7 +92,6 @@ export async function getBoxes(inputImage: Tensor4D, config: Config): Promise<De
   const scores = await t.scores.data();
   for (let i = 0; i < nms.length; i++) {
     const confidence = scores[nms[i]];
-
     if (confidence > (config.face.detector?.minConfidence || 0)) {
       const b: Record<string, Tensor> = {};
       b.bbox = tf.slice(t.boxes, [nms[i], 0], [1, -1]);
@@ -89,9 +99,15 @@ export async function getBoxes(inputImage: Tensor4D, config: Config): Promise<De
       b.squeeze = tf.squeeze(b.slice);
       b.landmarks = tf.reshape(b.squeeze, [keypointsCount, -1]);
       const points = await b.bbox.data();
+      const unpadded = [ // TODO fix this math
+        points[0] * scale[0] - pad[0],
+        points[1] * scale[1] - pad[1],
+        points[2] * scale[0] - pad[0],
+        points[3] * scale[1] - pad[1],
+      ];
       const rawBox = {
-        startPoint: [points[0], points[1]] as Point,
+        startPoint: [unpadded[0], unpadded[1]] as Point,
-        endPoint: [points[2], points[3]] as Point,
+        endPoint: [unpadded[2], unpadded[3]] as Point,
         landmarks: (await b.landmarks.array()) as Point[],
         confidence,
       };

src/face/match.ts

@@ -17,7 +17,8 @@ export function distance(descriptor1: Descriptor, descriptor2: Descriptor, optio
     const diff = (!options.order || options.order === 2) ? (descriptor1[i] - descriptor2[i]) : (Math.abs(descriptor1[i] - descriptor2[i]));
     sum += (!options.order || options.order === 2) ? (diff * diff) : (diff ** options.order);
   }
-  return (options.multiplier || 20) * sum;
+  const dist = Math.round(100 * (options.multiplier || 20) * sum) / 100;
+  return dist;
 }
 
 // invert distance to similarity, normalize to given range and clamp
@@ -25,7 +26,7 @@ const normalizeDistance = (dist, order, min, max) => {
   if (dist === 0) return 1; // short circuit for identical inputs
   const root = order === 2 ? Math.sqrt(dist) : dist ** (1 / order); // take root of distance
   const norm = (1 - (root / 100) - min) / (max - min); // normalize to range
-  const clamp = Math.max(Math.min(norm, 1), 0); // clamp to 0..1
+  const clamp = Math.round(100 * Math.max(Math.min(norm, 1), 0)) / 100; // clamp to 0..1
   return clamp;
 };
 

src/image/image.ts

@@ -290,7 +290,6 @@ const checksum = async (input: Tensor): Promise<number> => { // use tf sum or js
 export async function skip(config: Partial<Config>, input: Tensor) {
   let skipFrame = false;
   if (config.cacheSensitivity === 0 || !input.shape || input.shape.length !== 4 || input.shape[1] > 3840 || input.shape[2] > 2160) return skipFrame; // cache disabled or input is invalid or too large for cache analysis
-
   /*
   const checkSum = await checksum(input);
   const diff = 100 * (Math.max(checkSum, last.inputSum) / Math.min(checkSum, last.inputSum) - 1);

src/image/imagefx.ts

@@ -27,7 +27,7 @@ class GLProgram {
     this.gl = gl;
     const vertexShader = this.compile(vertexSource, this.gl.VERTEX_SHADER);
     const fragmentShader = this.compile(fragmentSource, this.gl.FRAGMENT_SHADER);
-    this.id = this.gl.createProgram() as WebGLProgram;
+    this.id = this.gl.createProgram();
     if (!vertexShader || !fragmentShader) return;
     if (!this.id) {
       log('filter: could not create webgl program');

src/models.ts

@@ -100,13 +100,13 @@ export class Models {
     let totalSizeWeights = 0;
     let totalSizeLoading = 0;
     for (const m of Object.values(modelStats)) {
-      totalSizeFromManifest += m.sizeFromManifest;
+      totalSizeFromManifest += Number.isNaN(+m.sizeFromManifest) ? 0 : m.sizeFromManifest;
-      totalSizeWeights += m.sizeLoadedWeights;
+      totalSizeWeights += Number.isNaN(+m.sizeLoadedWeights) ? 0 : m.sizeLoadedWeights;
-      totalSizeLoading += m.sizeDesired;
+      totalSizeLoading += Number.isNaN(+m.sizeDesired) ? 0 : m.sizeDesired;
     }
     const percentageLoaded = totalSizeLoading > 0 ? totalSizeWeights / totalSizeLoading : 0;
     return {
-      numLoadedModels: Object.values(modelStats).length,
+      numLoadedModels: Object.values(modelStats).filter((m) => m?.loaded).length,
       numDefinedModels: Object.keys(this.models).length,
       percentageLoaded,
       totalSizeFromManifest,
@@ -178,7 +178,7 @@ export class Models {
     return models;
   }
 
-  loaded() {
+  loaded(): string[] {
     const list = this.list();
     const loaded = list.filter((model) => model.loaded).map((model) => model.name);
     return loaded;

src/sample.ts

@@ -3,7 +3,7 @@
  */
 
 // data:image/jpeg;base64,
-export const face = `
+export const face: string = `
 /9j/4AAQSkZJRgABAQEAYABgAAD/4QBoRXhpZgAATU0AKgAAAAgABAEaAAUAAAABAAAAPgEbAAUA
 AAABAAAARgEoAAMAAAABAAIAAAExAAIAAAARAAAATgAAAAAAAABgAAAAAQAAAGAAAAABcGFpbnQu
 bmV0IDQuMi4xMwAA/9sAQwAGBAUGBQQGBgUGBwcGCAoQCgoJCQoUDg8MEBcUGBgXFBYWGh0lHxob

src/tfjs/backend.ts

@@ -121,14 +121,17 @@ export async function check(instance: Human, force = false) {
           log('override: backend set to webgpu but browser does not support webgpu');
           instance.config.backend = 'webgl';
         } else {
-          const adapter = await navigator.gpu.requestAdapter();
+          const adapter: GPUAdapter = await navigator.gpu.requestAdapter() as GPUAdapter;
           if (instance.config.debug) log('enumerated webgpu adapter:', adapter);
           if (!adapter) {
             log('override: backend set to webgpu but browser reports no available gpu');
             instance.config.backend = 'webgl';
           } else {
-            // @ts-ignore requestAdapterInfo is not in tslib
+            let adapterInfo;
-            const adapterInfo = 'requestAdapterInfo' in adapter ? await adapter.requestAdapterInfo() : undefined;
+            // @ts-ignore gpu adapter info
+            if ('requestAdapterInfo' in adapter) adapterInfo = await adapter?.requestAdapterInfo();
+            // @ts-ignore gpu adapter info
+            else adapterInfo = adapter.info;
             // if (adapter.features) adapter.features.forEach((feature) => log('webgpu features:', feature));
             log('webgpu adapter info:', adapterInfo);
           }

src/tfjs/load.ts

@@ -14,6 +14,7 @@ const options = {
 
 export interface ModelInfo {
   name: string,
+  loaded: boolean,
   inCache: boolean,
   sizeDesired: number,
   sizeFromManifest: number,
@@ -42,6 +43,7 @@ export async function loadModel(modelPath: string | undefined): Promise<GraphMod
   const cachedModelName = 'indexeddb://' + shortModelName; // generate short model name for cache
   modelStats[shortModelName] = {
     name: shortModelName,
+    loaded: false,
     sizeFromManifest: 0,
     sizeLoadedWeights: 0,
     sizeDesired: modelsDefs[shortModelName],
@@ -59,7 +61,7 @@ export async function loadModel(modelPath: string | undefined): Promise<GraphMod
   modelStats[shortModelName].url = modelStats[shortModelName].inCache ? cachedModelName : modelUrl;
   const tfLoadOptions = typeof fetch === 'undefined' ? {} : { fetchFunc: (url: string, init?: RequestInit) => httpHandler(url, init) };
   let model: GraphModel = new tf.GraphModel(modelStats[shortModelName].url, tfLoadOptions) as unknown as GraphModel; // create model prototype and decide if load from cache or from original modelurl
-  let loaded = false;
+  modelStats[shortModelName].loaded = false;
   try {
     // @ts-ignore private function
     model.findIOHandler(); // decide how to actually load a model
@@ -74,13 +76,13 @@ export async function loadModel(modelPath: string | undefined): Promise<GraphMod
     if (artifacts) model.loadSync(artifacts); // load weights
     else model = await tf.loadGraphModel(modelStats[shortModelName].inCache ? cachedModelName : modelUrl, tfLoadOptions) as unknown as GraphModel;
     // @ts-ignore private property
-    modelStats[shortModelName].sizeLoadedWeights = model.artifacts?.weightData?.byteLength || 0;
+    modelStats[shortModelName].sizeLoadedWeights = model.artifacts?.weightData?.byteLength || model.artifacts?.weightData?.[0].byteLength || 0;
     if (options.verbose) log('load:', { model: shortModelName, url: model['modelUrl'], bytes: modelStats[shortModelName].sizeLoadedWeights });
-    loaded = true;
+    modelStats[shortModelName].loaded = true;
   } catch (err) {
     log('error loading model:', modelUrl, err);
   }
-  if (loaded && options.cacheModels && options.cacheSupported && !modelStats[shortModelName].inCache) { // save model to cache
+  if (modelStats[shortModelName].loaded && options.cacheModels && options.cacheSupported && !modelStats[shortModelName].inCache) { // save model to cache
     try {
       const saveResult = await model.save(cachedModelName);
       if (options.debug) log('model saved:', cachedModelName, saveResult);

src/util/env.ts

@@ -154,7 +154,12 @@ export class Env {
     try {
       if (this.webgpu.supported) {
         const adapter = await navigator.gpu.requestAdapter();
-        this.webgpu.adapter = await adapter?.requestAdapterInfo();
+        if (adapter) {
+          // @ts-ignore requestAdapterInfo is not in tslib
+          if ('requestAdapterInfo' in adapter) this.webgpu.adapter = await adapter.requestAdapterInfo();
+          // @ts-ignore adapter.info is not in tslib
+          else this.webgpu.adapter = await adapter.info;
+        }
       }
     } catch {
       this.webgpu.supported = false;

src/warmup.ts

@@ -166,6 +166,7 @@ export async function warmup(instance: Human, userConfig?: Partial<Config>): Pro
   }
   return new Promise(async (resolve) => {
     await instance.models.load();
+    await tf.ready();
     await runCompile(instance);
     const res = await runInference(instance);
     const t1 = now();

test/build.log

@@ -1,51 +1,51 @@
-2024-02-15 12:49:25 DATA:  Build {"name":"@vladmandic/human","version":"3.2.1"} 
+2025-02-05 09:39:04 DATA:  Build {"name":"@vladmandic/human","version":"3.3.5"} 
-2024-02-15 12:49:25 INFO:  Application: {"name":"@vladmandic/human","version":"3.2.1"} 
+2025-02-05 09:39:04 INFO:  Application: {"name":"@vladmandic/human","version":"3.3.5"} 
-2024-02-15 12:49:25 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 
+2025-02-05 09:39:04 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 
-2024-02-15 12:49:25 INFO:  Toolchain: {"build":"0.9.2","esbuild":"0.19.12","typescript":"5.3.3","typedoc":"0.25.4","eslint":"8.55.0"} 
+2025-02-05 09:39:04 INFO:  Toolchain: {"build":"0.10.2","esbuild":"0.24.2","typescript":"5.7.3","typedoc":"0.27.6","eslint":"8.57.0"} 
-2024-02-15 12:49:25 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
+2025-02-05 09:39:04 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
-2024-02-15 12:49:25 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} 
+2025-02-05 09:39:04 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1289,"outputBytes":358} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1289,"outputBytes":358} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":566,"outputBytes":957} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":566,"outputBytes":957} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":80,"inputBytes":676266,"outputBytes":320934} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":80,"inputBytes":678664,"outputBytes":321804} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":574,"outputBytes":965} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":574,"outputBytes":965} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":80,"inputBytes":676274,"outputBytes":320938} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":80,"inputBytes":678672,"outputBytes":321808} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":662,"outputBytes":2003} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":662,"outputBytes":2003} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":80,"inputBytes":677312,"outputBytes":321049} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":80,"inputBytes":679710,"outputBytes":321919} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1403,"outputBytes":690} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1403,"outputBytes":690} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":80,"inputBytes":675999,"outputBytes":319515} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":80,"inputBytes":678397,"outputBytes":320365} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":10,"inputBytes":1403,"outputBytes":1294474} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":10,"inputBytes":1403,"outputBytes":1267320} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":80,"inputBytes":1969783,"outputBytes":1609692} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":80,"inputBytes":1945027,"outputBytes":1583413} 
-2024-02-15 12:49:25 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":80,"inputBytes":1969783,"outputBytes":2120081} 
+2025-02-05 09:39:04 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":80,"inputBytes":1945027,"outputBytes":2067530} 
-2024-02-15 12:49:26 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":14} 
+2025-02-05 09:39:06 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":78} 
-2024-02-15 12:49:28 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":81,"generated":true} 
+2025-02-05 09:39:08 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":81,"generated":true} 
-2024-02-15 12:49:28 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6318,"outputBytes":2970} 
+2025-02-05 09:39:08 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6318,"outputBytes":2970} 
-2024-02-15 12:49:28 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":17499,"outputBytes":9399} 
+2025-02-05 09:39:08 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":17498,"outputBytes":9397} 
-2024-02-15 12:49:28 STATE: Compile: {"name":"demo/tracker","format":"esm","platform":"browser","input":"demo/tracker/index.ts","output":"demo/tracker/index.js","files":2,"inputBytes":54375,"outputBytes":22791} 
+2025-02-05 09:39:08 STATE: Compile: {"name":"demo/tracker","format":"esm","platform":"browser","input":"demo/tracker/index.ts","output":"demo/tracker/index.js","files":2,"inputBytes":54375,"outputBytes":22791} 
-2024-02-15 12:49:35 STATE: Lint: {"locations":["**/*.json","src/**/*.ts","test/**/*.js","demo/**/*.js","**/*.md"],"files":172,"errors":0,"warnings":0} 
+2025-02-05 09:39:16 STATE: Lint: {"locations":["**/*.json","src/**/*.ts","test/**/*.js","demo/**/*.js","**/*.md"],"files":171,"errors":0,"warnings":0} 
-2024-02-15 12:49:35 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
+2025-02-05 09:39:16 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
-2024-02-15 12:49:35 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs-core.d.ts","output":"types/tfjs-core.d.ts"} 
+2025-02-05 09:39:16 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs-core.d.ts","output":"types/tfjs-core.d.ts"} 
-2024-02-15 12:49:35 INFO:  Done... 
+2025-02-05 09:39:16 INFO:  Done... 
-2024-02-15 12:49:35 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs.d.ts","output":"types/tfjs.esm.d.ts"} 
+2025-02-05 09:39:16 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs.d.ts","output":"types/tfjs.esm.d.ts"} 
-2024-02-15 12:49:35 STATE: Copy: {"input":"src/types/tsconfig.json","output":"types/tsconfig.json"} 
+2025-02-05 09:39:16 STATE: Copy: {"input":"src/types/tsconfig.json","output":"types/tsconfig.json"} 
-2024-02-15 12:49:35 STATE: Copy: {"input":"src/types/eslint.json","output":"types/.eslintrc.json"} 
+2025-02-05 09:39:16 STATE: Copy: {"input":"src/types/eslint.json","output":"types/.eslintrc.json"} 
-2024-02-15 12:49:35 STATE: Copy: {"input":"src/types/tfjs.esm.d.ts","output":"dist/tfjs.esm.d.ts"} 
+2025-02-05 09:39:16 STATE: Copy: {"input":"src/types/tfjs.esm.d.ts","output":"dist/tfjs.esm.d.ts"} 
-2024-02-15 12:49:35 STATE: Filter: {"input":"types/tfjs-core.d.ts"} 
+2025-02-05 09:39:16 STATE: Filter: {"input":"types/tfjs-core.d.ts"} 
-2024-02-15 12:49:36 ERROR: API-Extractor: {} 
+2025-02-05 09:39:17 STATE: API-Extractor: {"succeeeded":true,"errors":0,"warnings":0} 
-2024-02-15 12:49:36 STATE: Filter: {"input":"types/human.d.ts"} 
+2025-02-05 09:39:17 STATE: Filter: {"input":"types/human.d.ts"} 
-2024-02-15 12:49:36 STATE: Write: {"output":"dist/human.esm-nobundle.d.ts"} 
+2025-02-05 09:39:17 STATE: Write: {"output":"dist/human.esm-nobundle.d.ts"} 
-2024-02-15 12:49:36 STATE: Write: {"output":"dist/human.esm.d.ts"} 
+2025-02-05 09:39:17 STATE: Write: {"output":"dist/human.esm.d.ts"} 
-2024-02-15 12:49:36 STATE: Write: {"output":"dist/human.d.ts"} 
+2025-02-05 09:39:17 STATE: Write: {"output":"dist/human.d.ts"} 
-2024-02-15 12:49:36 STATE: Write: {"output":"dist/human.node-gpu.d.ts"} 
+2025-02-05 09:39:17 STATE: Write: {"output":"dist/human.node-gpu.d.ts"} 
-2024-02-15 12:49:36 STATE: Write: {"output":"dist/human.node.d.ts"} 
+2025-02-05 09:39:17 STATE: Write: {"output":"dist/human.node.d.ts"} 
-2024-02-15 12:49:36 STATE: Write: {"output":"dist/human.node-wasm.d.ts"} 
+2025-02-05 09:39:17 STATE: Write: {"output":"dist/human.node-wasm.d.ts"} 
-2024-02-15 12:49:36 INFO:  Analyze models: {"folders":8,"result":"models/models.json"} 
+2025-02-05 09:39:17 INFO:  Analyze models: {"folders":8,"result":"models/models.json"} 
-2024-02-15 12:49:36 STATE: Models {"folder":"./models","models":12} 
+2025-02-05 09:39:17 STATE: Models {"folder":"./models","models":12} 
-2024-02-15 12:49:36 STATE: Models {"folder":"../human-models/models","models":44} 
+2025-02-05 09:39:17 STATE: Models {"folder":"../human-models/models","models":44} 
-2024-02-15 12:49:36 STATE: Models {"folder":"../blazepose/model/","models":4} 
+2025-02-05 09:39:17 STATE: Models {"folder":"../blazepose/model/","models":4} 
-2024-02-15 12:49:36 STATE: Models {"folder":"../anti-spoofing/model","models":1} 
+2025-02-05 09:39:17 STATE: Models {"folder":"../anti-spoofing/model","models":1} 
-2024-02-15 12:49:36 STATE: Models {"folder":"../efficientpose/models","models":3} 
+2025-02-05 09:39:17 STATE: Models {"folder":"../efficientpose/models","models":3} 
-2024-02-15 12:49:36 STATE: Models {"folder":"../insightface/models","models":5} 
+2025-02-05 09:39:17 STATE: Models {"folder":"../insightface/models","models":5} 
-2024-02-15 12:49:36 STATE: Models {"folder":"../movenet/models","models":3} 
+2025-02-05 09:39:17 STATE: Models {"folder":"../movenet/models","models":3} 
-2024-02-15 12:49:36 STATE: Models {"folder":"../nanodet/models","models":4} 
+2025-02-05 09:39:17 STATE: Models {"folder":"../nanodet/models","models":4} 
-2024-02-15 12:49:36 STATE: Models: {"count":58,"totalSize":380063249} 
+2025-02-05 09:39:17 STATE: Models: {"count":58,"totalSize":380063249} 
-2024-02-15 12:49:36 INFO:  Human Build complete... {"logFile":"test/build.log"} 
+2025-02-05 09:39:17 INFO:  Human Build complete... {"logFile":"test/build.log"} 

test/test-backend-node-cpu.js

@@ -3,7 +3,7 @@ const H = require('../dist/human.node.js');
 const test = require('./test-node-main.js').test;
 
 const config = {
-  cacheSensitivity: 0,
+  cacheSensitivity: 0.01,
   modelBasePath: 'file://models/',
   backend: 'cpu',
   debug: false,

test/test-backend-node-gpu.js

@@ -3,7 +3,7 @@ const H = require('../dist/human.node-gpu.js');
 const test = require('./test-node-main.js').test;
 
 const config = {
-  cacheSensitivity: 0,
+  cacheSensitivity: 0.01,
   modelBasePath: 'file://models/',
   backend: 'tensorflow',
   debug: false,

test/test-backend-node-wasm.js

@@ -10,7 +10,7 @@ H.env.Canvas = Canvas; // requires monkey-patch as wasm does not have tf.browser
 H.env.Image = Image; // requires monkey-patch as wasm does not have tf.browser namespace
 
 const config = {
-  cacheSensitivity: 0,
+  cacheSensitivity: 0.01,
   modelBasePath: 'https://vladmandic.github.io/human-models/models/',
   backend: 'wasm',
   // wasmPath: 'node_modules/@tensorflow/tfjs-backend-wasm/dist/',

test/test-backend-node.js

@@ -4,7 +4,7 @@ const H = require('../dist/human.node.js');
 const test = require('./test-node-main.js').test;
 
 const config = {
-  cacheSensitivity: 0,
+  cacheSensitivity: 0.01,
   modelBasePath: 'file://models/',
   backend: 'tensorflow',
   debug: false,

test/test-node-emotion.js

@@ -6,7 +6,7 @@ const H = require('../dist/human.node.js');
 const models = ['emotion.json', 'gear-e1.json', 'gear-e2.json', 'affectnet-mobilenet.json'];
 const humanConfig = {
   debug: false,
-  cacheSensitivity: 0,
+  cacheSensitivity: 0.01,
   modelBasePath: 'https://vladmandic.github.io/human-models/models/',
   face: {
     scale: 1.4,

test/test-node-gear.js

@@ -12,7 +12,7 @@ process.env.TF_CPP_MIN_LOG_LEVEL = '2';
 const humanConfig = {
   backend: 'tensorflow',
   debug: false,
-  cacheSensitivity: 0,
+  cacheSensitivity: 0.01,
   modelBasePath: 'https://vladmandic.github.io/human-models/models/',
   face: {
     detector: { enabled: true, modelPath: 'blazeface-back.json' },

test/test-node-main.js

@@ -107,7 +107,7 @@ async function testWarmup(human, title) {
   try {
     warmup = await human.warmup(config);
   } catch (err) {
-    log('error', 'error warmup');
+    log('error', 'error warmup', err);
   }
   if (warmup) {
     log('state', 'passed: warmup:', config.warmup, title);

tsconfig.json

@@ -51,9 +51,9 @@
     "tabSize": 2
   },
   "exclude": ["node_modules/", "types/", "dist/**/*.js"],
-  "include": ["src", "tfjs/*.ts", "types/human.d.ts", "test/**/*.ts", "demo/**/*.ts", "demo/facedetect/loader.js"],
+  "include": ["src", "tfjs/*.ts", "types/human.d.ts", "test/**/*.ts"],
   "typedocOptions": {
     "excludeExternals": true,
-    "externalPattern": ["**/node_modules/**", "tfjs/"]
+    "externalPattern": ["**/node_modules/**", "tfjs/", "demo/"]
   }
 }

typedoc/assets/hierarchy.js

@@ -0,0 +1 @@
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typedoc/assets/highlight.css

@@ -15,8 +15,6 @@
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     --light-hl-7: #098658;
     --dark-hl-7: #B5CEA8;
-    --light-hl-8: #000000;
-    --dark-hl-8: #C8C8C8;
     --light-code-background: #FFFFFF;
     --dark-code-background: #1E1E1E;
 }
@@ -30,7 +28,6 @@
     --hl-5: var(--light-hl-5);
     --hl-6: var(--light-hl-6);
     --hl-7: var(--light-hl-7);
-    --hl-8: var(--light-hl-8);
     --code-background: var(--light-code-background);
 } }
 
@@ -43,7 +40,6 @@
     --hl-5: var(--dark-hl-5);
     --hl-6: var(--dark-hl-6);
     --hl-7: var(--dark-hl-7);
-    --hl-8: var(--dark-hl-8);
     --code-background: var(--dark-code-background);
 } }
 
@@ -56,7 +52,6 @@
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     --hl-6: var(--light-hl-6);
     --hl-7: var(--light-hl-7);
-    --hl-8: var(--light-hl-8);
     --code-background: var(--light-code-background);
 }
 
@@ -69,7 +64,6 @@
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     --hl-6: var(--dark-hl-6);
     --hl-7: var(--dark-hl-7);
-    --hl-8: var(--dark-hl-8);
     --code-background: var(--dark-code-background);
 }
 
@@ -81,5 +75,4 @@
 .hl-5 { color: var(--hl-5); }
 .hl-6 { color: var(--hl-6); }
 .hl-7 { color: var(--hl-7); }
-.hl-8 { color: var(--hl-8); }
 pre, code { background: var(--code-background); }

typedoc/assets/navigation.js

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+window.navigationData = "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"

typedoc/functions/draw.tensor.html

@@ -0,0 +1,2 @@
+<!DOCTYPE html><html class="default" lang="en" data-base=".."><head><meta charset="utf-8"/><meta http-equiv="x-ua-compatible" content="IE=edge"/><title>tensor | @vladmandic/human - v3.3.5</title><meta name="description" content="Documentation for @vladmandic/human"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="stylesheet" href="../assets/style.css"/><link rel="stylesheet" href="../assets/highlight.css"/><script defer src="../assets/main.js"></script><script async src="../assets/icons.js" id="tsd-icons-script"></script><script async src="../assets/search.js" id="tsd-search-script"></script><script async src="../assets/navigation.js" id="tsd-nav-script"></script><script async src="../assets/hierarchy.js" id="tsd-hierarchy-script"></script></head><body><script>document.documentElement.dataset.theme = localStorage.getItem("tsd-theme") || "os";document.body.style.display="none";setTimeout(() => app?app.showPage():document.body.style.removeProperty("display"),500)</script><header class="tsd-page-toolbar"><div class="tsd-toolbar-contents container"><div class="table-cell" id="tsd-search"><div class="field"><label for="tsd-search-field" class="tsd-widget tsd-toolbar-icon search no-caption"><svg width="16" height="16" viewBox="0 0 16 16" fill="none"><use href="../assets/icons.svg#icon-search"></use></svg></label><input type="text" id="tsd-search-field" aria-label="Search"/></div><div class="field"><div id="tsd-toolbar-links"></div></div><ul class="results"><li class="state loading">Preparing search index...</li><li class="state failure">The search index is not available</li></ul><a href="../index.html" class="title">@vladmandic/human - v3.3.5</a></div><div class="table-cell" id="tsd-widgets"><a href="#" class="tsd-widget tsd-toolbar-icon menu no-caption" data-toggle="menu" aria-label="Menu"><svg width="16" height="16" viewBox="0 0 16 16" fill="none"><use href="../assets/icons.svg#icon-menu"></use></svg></a></div></div></header><div class="container container-main"><div class="col-content"><div class="tsd-page-title"><ul class="tsd-breadcrumb"><li><a href="../index.html">@vladmandic/human</a></li><li><a href="../modules/draw.html">draw</a></li><li><a href="draw.tensor.html">tensor</a></li></ul><h1>Function tensor</h1></div><section class="tsd-panel"><ul class="tsd-signatures"><li class="tsd-signature tsd-anchor-link"><a id="tensor" class="tsd-anchor"></a><span class="tsd-kind-call-signature">tensor</span><span class="tsd-signature-symbol">(</span><span class="tsd-kind-parameter">input</span><span class="tsd-signature-symbol">:</span> <a href="../types/Tensor2D.html" class="tsd-signature-type tsd-kind-type-alias">Tensor2D</a><span class="tsd-signature-symbol">,</span> <span class="tsd-kind-parameter">output</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span><a href="#tensor" aria-label="Permalink" class="tsd-anchor-icon"><svg viewBox="0 0 24 24"><use href="../assets/icons.svg#icon-anchor"></use></svg></a></li><li class="tsd-description"><div class="tsd-comment tsd-typography"><p>draw processed canvas</p>
+</div><div class="tsd-parameters"><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameter-list"><li><span><span class="tsd-kind-parameter">input</span>: <a href="../types/Tensor2D.html" class="tsd-signature-type tsd-kind-type-alias">Tensor2D</a></span></li><li><span><span class="tsd-kind-parameter">output</span>: <span class="tsd-signature-type">HTMLCanvasElement</span></span></li></ul></div><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></h4><div class="tsd-comment tsd-typography"></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/draw/draw.ts#L66">src/draw/draw.ts:66</a></li></ul></aside></li></ul></section></div><div class="col-sidebar"><div class="page-menu"><div class="tsd-navigation settings"><details class="tsd-accordion"><summary class="tsd-accordion-summary"><h3><svg width="20" height="20" viewBox="0 0 24 24" fill="none"><use href="../assets/icons.svg#icon-chevronDown"></use></svg>Settings</h3></summary><div class="tsd-accordion-details"><div class="tsd-filter-visibility"><span class="settings-label">Member Visibility</span><ul id="tsd-filter-options"><li class="tsd-filter-item"><label class="tsd-filter-input"><input type="checkbox" id="tsd-filter-inherited" name="inherited" checked/><svg width="32" height="32" viewBox="0 0 32 32" aria-hidden="true"><rect class="tsd-checkbox-background" width="30" height="30" x="1" y="1" rx="6" fill="none"></rect><path class="tsd-checkbox-checkmark" d="M8.35422 16.8214L13.2143 21.75L24.6458 10.25" stroke="none" stroke-width="3.5" stroke-linejoin="round" fill="none"></path></svg><span>Inherited</span></label></li></ul></div><div class="tsd-theme-toggle"><label class="settings-label" for="tsd-theme">Theme</label><select id="tsd-theme"><option value="os">OS</option><option value="light">Light</option><option value="dark">Dark</option></select></div></div></details></div></div><div class="site-menu"><nav class="tsd-navigation"><a href="../index.html">@vladmandic/human - v3.3.5</a><ul class="tsd-small-nested-navigation" id="tsd-nav-container"><li>Loading...</li></ul></nav></div></div></div><footer></footer><div class="overlay"></div></body></html>