add public face detector and iris scale options and refresh dependencies

CHANGELOG.md

@@ -1,6 +1,6 @@
 # @vladmandic/human  
 
-  Version: **3.2.0**  
+  Version: **3.2.1**  
   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>**  
@@ -9,11 +9,15 @@
   
 ## Changelog
   
+### **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
-### **origin/main** 2023/12/06 aug@iterative.day
-
 - https://github.com/vladmandic/human/issues/402
 
 ### **release: 3.1.2** 2023/09/18 mandic00@live.com

dist/tfjs.version.js

@@ -4,4 +4,4 @@
   author: <https://github.com/vladmandic>'
 */
 
-var e="4.14.0";var s="4.14.0";var t="4.14.0";var n="4.14.0";var r="4.14.0";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="4.17.0";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};

src/config.ts

@@ -37,6 +37,8 @@ export interface FaceDetectorConfig extends GenericConfig {
   minSize: number,
   /** minimum overlap between two detected faces before one is discarded */
   iouThreshold: number,
+  /** how much should face box be enlarged over the min/max facial coordinates */
+  scale: number,
   /** 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?
@@ -51,7 +53,10 @@ export interface FaceMeshConfig extends GenericConfig {
 }
 
 /** Iris part of face configuration */
-export interface FaceIrisConfig extends GenericConfig {}
+export interface FaceIrisConfig extends GenericConfig {
+  /** how much should iris box be enlarged over the min/max iris coordinates */
+  scale: number,
+}
 
 /** Attention part of face configuration */
 export interface FaceAttentionConfig extends GenericConfig {}
@@ -383,6 +388,7 @@ const config: Config = {
       minConfidence: 0.2,
       minSize: 0,
       iouThreshold: 0.1,
+      scale: 1.4,
       mask: false,
       return: false,
     },
@@ -397,6 +403,7 @@ const config: Config = {
     },
     iris: {
       enabled: true,
+      scale: 2.3,
       modelPath: 'iris.json',
     },
     emotion: {

src/face/blazeface.ts

@@ -14,7 +14,6 @@ import { env } from '../util/env';
 import type { Point } from '../result';
 
 const keypointsCount = 6;
-const faceBoxScaleFactor = 1.4;
 let model: GraphModel | null;
 let anchors: Tensor | null = null;
 let inputSize = 0;
@@ -99,7 +98,7 @@ export async function getBoxes(inputImage: Tensor4D, config: Config): Promise<De
       b.anchor = tf.slice(anchors as Tensor, [nms[i], 0], [1, 2]);
       const anchor = await b.anchor.data();
       const scaledBox = util.scaleBoxCoordinates(rawBox, [(inputImage.shape[2] || 0) / inputSize, (inputImage.shape[1] || 0) / inputSize], anchor);
-      const enlargedBox = util.enlargeBox(scaledBox, config.face['scale'] || faceBoxScaleFactor);
+      const enlargedBox = util.enlargeBox(scaledBox, config.face.detector?.scale || 1.4);
       const squaredBox = util.squarifyBox(enlargedBox);
       if (squaredBox.size[0] > (config.face.detector?.['minSize'] || 0) && squaredBox.size[1] > (config.face.detector?.['minSize'] || 0)) boxes.push(squaredBox);
       Object.keys(b).forEach((tensor) => tf.dispose(b[tensor]));

src/face/faceboxes.ts

@@ -9,13 +9,11 @@ import type { Config } from '../config';
 type Box = [number, number, number, number];
 
 export class FaceBoxes {
-  enlarge: number;
   model: GraphModel;
   config: Config;
   inputSize: 0;
 
   constructor(model, config: Config) {
-    this.enlarge = 1.1;
     this.model = model;
     this.config = config;
     this.inputSize = model.inputs[0].shape ? model.inputs[0].shape[2] : 0;
@@ -23,6 +21,7 @@ export class FaceBoxes {
 
   async estimateFaces(input, config) {
     if (config) this.config = config;
+    const enlarge = this.config.face.detector?.minConfidence || 0.1;
     const results: { confidence: number, box: Box, boxRaw: Box, image: Tensor }[] = [];
     const resizeT = tf.image.resizeBilinear(input, [this.inputSize, this.inputSize]);
     const castT = resizeT.toInt();
@@ -38,7 +37,7 @@ export class FaceBoxes {
     resizeT.dispose();
     for (let i = 0; i < boxes.length; i++) {
       if (scores[i] && scores[i] > (this.config.face.detector?.minConfidence || 0.1)) {
-        const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];
+        const crop = [boxes[i][0] / enlarge, boxes[i][1] / enlarge, boxes[i][2] * enlarge, boxes[i][3] * enlarge];
         const boxRaw: Box = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];
         const box: Box = [
           parseInt((boxRaw[0] * input.shape[2]).toString()),

src/face/facemesh.ts

@@ -114,7 +114,7 @@ export async function predict(input: Tensor4D, config: Config): Promise<FaceResu
         if (config.face.attention?.enabled) {
           rawCoords = await attention.augment(rawCoords, results); // augment iris results using attention model results
         } else if (config.face.iris?.enabled) {
-          rawCoords = await iris.augmentIris(rawCoords, face.tensor, inputSize); // run iris model and augment results
+          rawCoords = await iris.augmentIris(rawCoords, face.tensor, inputSize, config); // run iris model and augment results
         }
         face.mesh = util.transformRawCoords(rawCoords, box, angle, rotationMatrix, inputSize); // get processed mesh
         face.meshRaw = face.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / size]);

src/face/iris.ts

@@ -11,8 +11,6 @@ import type { Point } from '../result';
 let model: GraphModel | null;
 let inputSize = 0;
 
-const irisEnlarge = 2.3;
-
 const leftOutline = coords.meshAnnotations.leftEyeLower0;
 const rightOutline = coords.meshAnnotations.rightEyeLower0;
 
@@ -62,8 +60,8 @@ export const getLeftToRightEyeDepthDifference = (rawCoords) => {
 };
 
 // Returns a box describing a cropped region around the eye fit for passing to the iris model.
-export const getEyeBox = (rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, meshSize, flip = false) => {
+export const getEyeBox = (rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, meshSize, flip = false, scale = 2.3) => {
-  const box = util.squarifyBox(util.enlargeBox(util.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), irisEnlarge));
+  const box = util.squarifyBox(util.enlargeBox(util.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), scale));
   const boxSize = util.getBoxSize(box);
   let crop = tf.image.cropAndResize(face, [[
     box.startPoint[1] / meshSize,
@@ -110,10 +108,10 @@ export const getAdjustedIrisCoords = (rawCoords, irisCoords, direction) => {
   });
 };
 
-export async function augmentIris(rawCoords, face, meshSize) {
+export async function augmentIris(rawCoords, face, meshSize, config: Config) {
   if (!model?.['executor']) return rawCoords;
-  const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = getEyeBox(rawCoords, face, eyeLandmarks.leftBounds[0], eyeLandmarks.leftBounds[1], meshSize, true);
+  const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = getEyeBox(rawCoords, face, eyeLandmarks.leftBounds[0], eyeLandmarks.leftBounds[1], meshSize, true, config.face.iris?.scale || 2.3);
-  const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = getEyeBox(rawCoords, face, eyeLandmarks.rightBounds[0], eyeLandmarks.rightBounds[1], meshSize, true);
+  const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = getEyeBox(rawCoords, face, eyeLandmarks.rightBounds[0], eyeLandmarks.rightBounds[1], meshSize, true, config.face.iris?.scale || 2.3);
   const combined = tf.concat([leftEyeCrop, rightEyeCrop]);
   tf.dispose(leftEyeCrop);
   tf.dispose(rightEyeCrop);

test/build.log

@@ -1,51 +1,51 @@
-2023-12-06 14:57:40 DATA:  Build {"name":"@vladmandic/human","version":"3.2.0"} 
+2024-02-15 12:49:25 DATA:  Build {"name":"@vladmandic/human","version":"3.2.1"} 
-2023-12-06 14:57:40 INFO:  Application: {"name":"@vladmandic/human","version":"3.2.0"} 
+2024-02-15 12:49:25 INFO:  Application: {"name":"@vladmandic/human","version":"3.2.1"} 
-2023-12-06 14:57:40 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 
+2024-02-15 12:49:25 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 
-2023-12-06 14:57:40 INFO:  Toolchain: {"build":"0.9.2","esbuild":"0.19.8","typescript":"5.3.3","typedoc":"0.25.4","eslint":"8.55.0"} 
+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"} 
-2023-12-06 14:57:40 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
+2024-02-15 12:49:25 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
-2023-12-06 14:57:40 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} 
+2024-02-15 12:49:25 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} 
-2023-12-06 14:57:40 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/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1289,"outputBytes":358} 
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-2023-12-06 14:57:40 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":80,"inputBytes":676002,"outputBytes":320790} 
+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} 
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+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} 
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+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} 
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-2023-12-06 14:57:40 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":80,"inputBytes":675735,"outputBytes":319371} 
+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} 
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+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} 
-2023-12-06 14:57:40 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":80,"inputBytes":1940047,"outputBytes":1580115} 
+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} 
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+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} 
-2023-12-06 14:57:42 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":14} 
+2024-02-15 12:49:26 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":14} 
-2023-12-06 14:57:44 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":81,"generated":true} 
+2024-02-15 12:49:28 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":81,"generated":true} 
-2023-12-06 14:57:44 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/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6318,"outputBytes":2970} 
-2023-12-06 14:57:44 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} 
+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} 
-2023-12-06 14:57:44 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 12:49:28 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} 
-2023-12-06 14:57:51 STATE: Lint: {"locations":["**/*.json","src/**/*.ts","test/**/*.js","demo/**/*.js","**/*.md"],"files":172,"errors":0,"warnings":0} 
+2024-02-15 12:49:35 STATE: Lint: {"locations":["**/*.json","src/**/*.ts","test/**/*.js","demo/**/*.js","**/*.md"],"files":172,"errors":0,"warnings":0} 
-2023-12-06 14:57:51 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
+2024-02-15 12:49:35 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
-2023-12-06 14:57:51 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs-core.d.ts","output":"types/tfjs-core.d.ts"} 
+2024-02-15 12:49:35 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs-core.d.ts","output":"types/tfjs-core.d.ts"} 
-2023-12-06 14:57:51 INFO:  Done... 
+2024-02-15 12:49:35 INFO:  Done... 
-2023-12-06 14:57:51 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":"node_modules/@vladmandic/tfjs/types/tfjs.d.ts","output":"types/tfjs.esm.d.ts"} 
-2023-12-06 14:57:51 STATE: Copy: {"input":"src/types/tsconfig.json","output":"types/tsconfig.json"} 
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-2023-12-06 14:57:51 STATE: Copy: {"input":"src/types/eslint.json","output":"types/.eslintrc.json"} 
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+2024-02-15 12:49:35 STATE: Copy: {"input":"src/types/tfjs.esm.d.ts","output":"dist/tfjs.esm.d.ts"} 
-2023-12-06 14:57:51 STATE: Filter: {"input":"types/tfjs-core.d.ts"} 
+2024-02-15 12:49:35 STATE: Filter: {"input":"types/tfjs-core.d.ts"} 
-2023-12-06 14:57:52 ERROR: API-Extractor: {} 
+2024-02-15 12:49:36 ERROR: API-Extractor: {} 
-2023-12-06 14:57:52 STATE: Filter: {"input":"types/human.d.ts"} 
+2024-02-15 12:49:36 STATE: Filter: {"input":"types/human.d.ts"} 
-2023-12-06 14:57:52 STATE: Write: {"output":"dist/human.esm-nobundle.d.ts"} 
+2024-02-15 12:49:36 STATE: Write: {"output":"dist/human.esm-nobundle.d.ts"} 
-2023-12-06 14:57:52 STATE: Write: {"output":"dist/human.esm.d.ts"} 
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+2024-02-15 12:49:36 STATE: Write: {"output":"dist/human.d.ts"} 
-2023-12-06 14:57:52 STATE: Write: {"output":"dist/human.node-gpu.d.ts"} 
+2024-02-15 12:49:36 STATE: Write: {"output":"dist/human.node-gpu.d.ts"} 
-2023-12-06 14:57:52 STATE: Write: {"output":"dist/human.node.d.ts"} 
+2024-02-15 12:49:36 STATE: Write: {"output":"dist/human.node.d.ts"} 
-2023-12-06 14:57:52 STATE: Write: {"output":"dist/human.node-wasm.d.ts"} 
+2024-02-15 12:49:36 STATE: Write: {"output":"dist/human.node-wasm.d.ts"} 
-2023-12-06 14:57:52 INFO:  Analyze models: {"folders":8,"result":"models/models.json"} 
+2024-02-15 12:49:36 INFO:  Analyze models: {"folders":8,"result":"models/models.json"} 
-2023-12-06 14:57:52 STATE: Models {"folder":"./models","models":12} 
+2024-02-15 12:49:36 STATE: Models {"folder":"./models","models":12} 
-2023-12-06 14:57:52 STATE: Models {"folder":"../human-models/models","models":44} 
+2024-02-15 12:49:36 STATE: Models {"folder":"../human-models/models","models":44} 
-2023-12-06 14:57:52 STATE: Models {"folder":"../blazepose/model/","models":4} 
+2024-02-15 12:49:36 STATE: Models {"folder":"../blazepose/model/","models":4} 
-2023-12-06 14:57:52 STATE: Models {"folder":"../anti-spoofing/model","models":1} 
+2024-02-15 12:49:36 STATE: Models {"folder":"../anti-spoofing/model","models":1} 
-2023-12-06 14:57:52 STATE: Models {"folder":"../efficientpose/models","models":3} 
+2024-02-15 12:49:36 STATE: Models {"folder":"../efficientpose/models","models":3} 
-2023-12-06 14:57:52 STATE: Models {"folder":"../insightface/models","models":5} 
+2024-02-15 12:49:36 STATE: Models {"folder":"../insightface/models","models":5} 
-2023-12-06 14:57:52 STATE: Models {"folder":"../movenet/models","models":3} 
+2024-02-15 12:49:36 STATE: Models {"folder":"../movenet/models","models":3} 
-2023-12-06 14:57:52 STATE: Models {"folder":"../nanodet/models","models":4} 
+2024-02-15 12:49:36 STATE: Models {"folder":"../nanodet/models","models":4} 
-2023-12-06 14:57:52 STATE: Models: {"count":58,"totalSize":380063249} 
+2024-02-15 12:49:36 STATE: Models: {"count":58,"totalSize":380063249} 
-2023-12-06 14:57:52 INFO:  Human Build complete... {"logFile":"test/build.log"} 
+2024-02-15 12:49:36 INFO:  Human Build complete... {"logFile":"test/build.log"}