refactor face classes

CHANGELOG.md

@@ -1,6 +1,6 @@
 # @vladmandic/human  
 
-Version: **1.1.9**  
+Version: **1.1.10**  
 Description: **Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition**  
 
 Author: **Vladimir Mandic <mandic00@live.com>**  
@@ -9,8 +9,9 @@ Repository: **<git+https://github.com/vladmandic/human.git>**
 
 ## Changelog
 
-### **HEAD -> main** 2021/03/18 mandic00@live.com
+### **1.1.10** 2021/03/18 mandic00@live.com
 
+- cleanup
 - redefine tensor
 - enforce types
 - regen type declarations

demo/embedding.js

@@ -12,8 +12,8 @@ const userConfig = {
     mesh: { enabled: true },
     embedding: { enabled: true },
     iris: { enabled: false },
-    age: { enabled: false },
+    age: { enabled: true },
-    gender: { enabled: false },
+    gender: { enabled: true },
     emotion: { enabled: false },
   },
   hand: { enabled: false },
@@ -87,6 +87,7 @@ function faces(index, res, fileName) {
     // mouse click on any face canvas triggers analysis
     canvas.addEventListener('click', (evt) => {
       log('Select:', 'Image:', evt.target.tag.sample, 'Face:', evt.target.tag.face, all[evt.target.tag.sample][evt.target.tag.face]);
+      log('Select:', 'Gender:', all[evt.target.tag.sample][evt.target.tag.face].gender);
       analyze(all[evt.target.tag.sample][evt.target.tag.face]);
     });
     // if we actually got face image tensor, draw canvas with that face
@@ -135,9 +136,10 @@ async function main() {
   let images = dir.filter((img) => (img.endsWith('.jpg') && img.includes('sample')));
 
   // enumerate additional private test images in /private, not includded in git repository
-  res = await fetch('/private');
+  res = await fetch('/private/err');
   dir = (res && res.ok) ? await res.json() : [];
-  images = images.concat(dir.filter((img) => (img.endsWith('.jpg'))));
+  // images = images.concat(dir.filter((img) => (img.endsWith('.jpg'))));
+  images = dir.filter((img) => (img.endsWith('.jpg')));
 
   // download and analyze all images
   log('Enumerated:', images.length, 'images');

package.json

@@ -62,7 +62,7 @@
     "@vladmandic/pilogger": "^0.2.15",
     "chokidar": "^3.5.1",
     "dayjs": "^1.10.4",
-    "esbuild": "^0.9.3",
+    "esbuild": "^0.9.6",
     "eslint": "^7.22.0",
     "eslint-config-airbnb-base": "^14.2.1",
     "eslint-plugin-import": "^2.22.1",

src/age/age.ts

@@ -1,4 +1,4 @@
-import { log } from '../log';
+import { log } from '../helpers';
 import * as tf from '../../dist/tfjs.esm.js';
 import * as profile from '../profile';
 

src/emotion/emotion.ts

@@ -1,4 +1,4 @@
-import { log } from '../log';
+import { log } from '../helpers';
 import * as tf from '../../dist/tfjs.esm.js';
 import * as profile from '../profile';
 

src/faceall.ts

@@ -0,0 +1,159 @@
+import { log, now } from './helpers';
+import * as tf from '../dist/tfjs.esm.js';
+import * as age from './age/age';
+import * as gender from './gender/gender';
+import * as emotion from './emotion/emotion';
+import * as embedding from './embedding/embedding';
+
+type Tensor = typeof tf.Tensor;
+
+const calculateFaceAngle = (mesh): { roll: number | null, yaw: number | null, pitch: number | null } => {
+  if (!mesh || mesh.length < 300) return { roll: null, yaw: null, pitch: null };
+  const radians = (a1, a2, b1, b2) => Math.atan2(b2 - a2, b1 - a1);
+  // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars
+  const degrees = (theta) => Math.abs(((theta * 180) / Math.PI) % 360);
+  const angle = {
+    // values are in radians in range of -pi/2 to pi/2 which is -90 to +90 degrees
+    // value of 0 means center
+    // roll is face lean left/right
+    roll: radians(mesh[33][0], mesh[33][1], mesh[263][0], mesh[263][1]), // looking at x,y of outside corners of leftEye and rightEye
+    // yaw is face turn left/right
+    yaw: radians(mesh[33][0], mesh[33][2], mesh[263][0], mesh[263][2]), // looking at x,z of outside corners of leftEye and rightEye
+    // pitch is face move up/down
+    pitch: radians(mesh[10][1], mesh[10][2], mesh[152][1], mesh[152][2]), // looking at y,z of top and bottom points of the face
+  };
+  return angle;
+};
+
+export const detectFace = async (parent, input): Promise<any> => {
+  // run facemesh, includes blazeface and iris
+  // eslint-disable-next-line no-async-promise-executor
+  let timeStamp;
+  let ageRes;
+  let genderRes;
+  let emotionRes;
+  let embeddingRes;
+  const faceRes: Array<{
+      confidence: number,
+      boxConfidence: number,
+      faceConfidence: number,
+      box: [number, number, number, number],
+      mesh: Array<[number, number, number]>
+      meshRaw: Array<[number, number, number]>
+      boxRaw: [number, number, number, number],
+      annotations: Array<{ part: string, points: Array<[number, number, number]>[] }>,
+      age: number,
+      gender: string,
+      genderConfidence: number,
+      emotion: string,
+      embedding: number[],
+      iris: number,
+      angle: { roll: number | null, yaw: number | null, pitch: number | null },
+      tensor: Tensor,
+    }> = [];
+  parent.state = 'run:face';
+  timeStamp = now();
+  const faces = await parent.models.face?.estimateFaces(input, parent.config);
+  parent.perf.face = Math.trunc(now() - timeStamp);
+  if (!faces) return [];
+  for (const face of faces) {
+    parent.analyze('Get Face');
+
+    // is something went wrong, skip the face
+    if (!face.image || face.image.isDisposedInternal) {
+      log('Face object is disposed:', face.image);
+      continue;
+    }
+
+    const angle = calculateFaceAngle(face.mesh);
+
+    // run age, inherits face from blazeface
+    parent.analyze('Start Age:');
+    if (parent.config.async) {
+      ageRes = parent.config.face.age.enabled ? age.predict(face.image, parent.config) : {};
+    } else {
+      parent.state = 'run:age';
+      timeStamp = now();
+      ageRes = parent.config.face.age.enabled ? await age.predict(face.image, parent.config) : {};
+      parent.perf.age = Math.trunc(now() - timeStamp);
+    }
+
+    // run gender, inherits face from blazeface
+    parent.analyze('Start Gender:');
+    if (parent.config.async) {
+      genderRes = parent.config.face.gender.enabled ? gender.predict(face.image, parent.config) : {};
+    } else {
+      parent.state = 'run:gender';
+      timeStamp = now();
+      genderRes = parent.config.face.gender.enabled ? await gender.predict(face.image, parent.config) : {};
+      parent.perf.gender = Math.trunc(now() - timeStamp);
+    }
+
+    // run emotion, inherits face from blazeface
+    parent.analyze('Start Emotion:');
+    if (parent.config.async) {
+      emotionRes = parent.config.face.emotion.enabled ? emotion.predict(face.image, parent.config) : {};
+    } else {
+      parent.state = 'run:emotion';
+      timeStamp = now();
+      emotionRes = parent.config.face.emotion.enabled ? await emotion.predict(face.image, parent.config) : {};
+      parent.perf.emotion = Math.trunc(now() - timeStamp);
+    }
+    parent.analyze('End Emotion:');
+
+    // run emotion, inherits face from blazeface
+    parent.analyze('Start Embedding:');
+    if (parent.config.async) {
+      embeddingRes = parent.config.face.embedding.enabled ? embedding.predict(face, parent.config) : [];
+    } else {
+      parent.state = 'run:embedding';
+      timeStamp = now();
+      embeddingRes = parent.config.face.embedding.enabled ? await embedding.predict(face, parent.config) : [];
+      parent.perf.embedding = Math.trunc(now() - timeStamp);
+    }
+    parent.analyze('End Emotion:');
+
+    // if async wait for results
+    if (parent.config.async) {
+      [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);
+    }
+
+    parent.analyze('Finish Face:');
+
+    // calculate iris distance
+    // iris: array[ center, left, top, right, bottom]
+    if (!parent.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {
+      delete face.annotations.leftEyeIris;
+      delete face.annotations.rightEyeIris;
+    }
+    const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)
+    /* average human iris size is 11.7mm */
+      ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))
+      : 0;
+
+    // combine results
+    faceRes.push({
+      ...face,
+      age: ageRes.age,
+      gender: genderRes.gender,
+      genderConfidence: genderRes.confidence,
+      emotion: emotionRes,
+      embedding: embeddingRes,
+      iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,
+      angle,
+      tensor: parent.config.face.detector.return ? face.image?.squeeze() : null,
+    });
+    // dispose original face tensor
+    face.image?.dispose();
+
+    parent.analyze('End Face');
+  }
+  parent.analyze('End FaceMesh:');
+  if (parent.config.async) {
+    if (parent.perf.face) delete parent.perf.face;
+    if (parent.perf.age) delete parent.perf.age;
+    if (parent.perf.gender) delete parent.perf.gender;
+    if (parent.perf.emotion) delete parent.perf.emotion;
+  }
+  return faceRes;
+};

src/gender/gender.ts

@@ -1,4 +1,4 @@
-import { log } from '../log';
+import { log } from '../helpers';
 import * as tf from '../../dist/tfjs.esm.js';
 import * as profile from '../profile';
 

src/handpose/handpose.ts

@@ -1,6 +1,6 @@
 // https://storage.googleapis.com/tfjs-models/demos/handpose/index.html
 
-import { log } from '../log';
+import { log } from '../helpers';
 import * as tf from '../../dist/tfjs.esm.js';
 import * as handdetector from './handdetector';
 import * as handpipeline from './handpipeline';

src/helpers.ts

@@ -0,0 +1,28 @@
+// helper function: wrapper around console output
+export function log(...msg) {
+  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')}`;
+  // eslint-disable-next-line no-console
+  if (msg) console.log(ts, 'Human:', ...msg);
+}
+
+// helper function: gets elapsed time on both browser and nodejs
+export const now = () => {
+  if (typeof performance !== 'undefined') return performance.now();
+  return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());
+};
+
+// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides
+export function mergeDeep(...objects) {
+  const isObject = (obj) => obj && typeof obj === 'object';
+  return objects.reduce((prev, obj) => {
+    Object.keys(obj || {}).forEach((key) => {
+      const pVal = prev[key];
+      const oVal = obj[key];
+      if (Array.isArray(pVal) && Array.isArray(oVal)) prev[key] = pVal.concat(...oVal);
+      else if (isObject(pVal) && isObject(oVal)) prev[key] = mergeDeep(pVal, oVal);
+      else prev[key] = oVal;
+    });
+    return prev;
+  }, {});
+}

src/human.ts

@@ -1,7 +1,8 @@
-import { log } from './log';
+import { log, now, mergeDeep } from './helpers';
 import * as sysinfo from './sysinfo';
 import * as tf from '../dist/tfjs.esm.js';
 import * as backend from './tfjs/backend';
+import * as faceall from './faceall';
 import * as facemesh from './blazeface/facemesh';
 import * as age from './age/age';
 import * as gender from './gender/gender';
@@ -33,26 +34,6 @@ export type TensorFlow = typeof tf;
 /** Generic Model object type, holds instance of individual models */
 type Model = Object;
 
-// helper function: gets elapsed time on both browser and nodejs
-const now = () => {
-  if (typeof performance !== 'undefined') return performance.now();
-  return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());
-};
-
-// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides
-function mergeDeep(...objects) {
-  const isObject = (obj) => obj && typeof obj === 'object';
-  return objects.reduce((prev, obj) => {
-    Object.keys(obj || {}).forEach((key) => {
-      const pVal = prev[key];
-      const oVal = obj[key];
-      if (Array.isArray(pVal) && Array.isArray(oVal)) prev[key] = pVal.concat(...oVal);
-      else if (isObject(pVal) && isObject(oVal)) prev[key] = mergeDeep(pVal, oVal);
-      else prev[key] = oVal;
-    });
-    return prev;
-  }, {});
-}
 /**
  * **Human** library main class
  *
@@ -101,7 +82,7 @@ export class Human {
     nanodet: typeof nanodet;
   };
   sysinfo: { platform: string, agent: string };
-  #perf: any;
+  perf: any;
   #numTensors: number;
   #analyzeMemoryLeaks: boolean;
   #checkSanity: boolean;
@@ -118,7 +99,7 @@ export class Human {
     this.#analyzeMemoryLeaks = false;
     this.#checkSanity = false;
     this.#firstRun = true;
-    this.#perf = {};
+    this.perf = {};
     // object that contains all initialized models
     this.models = {
       face: null,
@@ -156,7 +137,7 @@ export class Human {
 
   // helper function: measure tensor leak
   /** @hidden */
-  #analyze = (...msg) => {
+  analyze = (...msg) => {
     if (!this.#analyzeMemoryLeaks) return;
     const current = this.tf.engine().state.numTensors;
     const previous = this.#numTensors;
@@ -252,7 +233,7 @@ export class Human {
     }
 
     const current = Math.trunc(now() - timeStamp);
-    if (current > (this.#perf.load || 0)) this.#perf.load = current;
+    if (current > (this.perf.load || 0)) this.perf.load = current;
   }
 
   // check if backend needs initialization if it changed
@@ -305,164 +286,10 @@ export class Human {
         if (this.config.debug) log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);
       }
       await this.tf.ready();
-      this.#perf.backend = Math.trunc(now() - timeStamp);
+      this.perf.backend = Math.trunc(now() - timeStamp);
     }
   }
 
-  /** @hidden */
-  #calculateFaceAngle = (mesh): { roll: number | null, yaw: number | null, pitch: number | null } => {
-    if (!mesh || mesh.length < 300) return { roll: null, yaw: null, pitch: null };
-    const radians = (a1, a2, b1, b2) => Math.atan2(b2 - a2, b1 - a1);
-    // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars
-    const degrees = (theta) => Math.abs(((theta * 180) / Math.PI) % 360);
-    const angle = {
-      // values are in radians in range of -pi/2 to pi/2 which is -90 to +90 degrees
-      // value of 0 means center
-      // roll is face lean left/right
-      roll: radians(mesh[33][0], mesh[33][1], mesh[263][0], mesh[263][1]), // looking at x,y of outside corners of leftEye and rightEye
-      // yaw is face turn left/right
-      yaw: radians(mesh[33][0], mesh[33][2], mesh[263][0], mesh[263][2]), // looking at x,z of outside corners of leftEye and rightEye
-      // pitch is face move up/down
-      pitch: radians(mesh[10][1], mesh[10][2], mesh[152][1], mesh[152][2]), // looking at y,z of top and bottom points of the face
-    };
-    return angle;
-  }
-
-  /** @hidden */
-  #detectFace = async (input): Promise<any> => {
-    // run facemesh, includes blazeface and iris
-    // eslint-disable-next-line no-async-promise-executor
-    let timeStamp;
-    let ageRes;
-    let genderRes;
-    let emotionRes;
-    let embeddingRes;
-    const faceRes: Array<{
-      confidence: number,
-      boxConfidence: number,
-      faceConfidence: number,
-      box: [number, number, number, number],
-      mesh: Array<[number, number, number]>
-      meshRaw: Array<[number, number, number]>
-      boxRaw: [number, number, number, number],
-      annotations: Array<{ part: string, points: Array<[number, number, number]>[] }>,
-      age: number,
-      gender: string,
-      genderConfidence: number,
-      emotion: string,
-      embedding: number[],
-      iris: number,
-      angle: { roll: number | null, yaw: number | null, pitch: number | null },
-      tensor: Tensor,
-    }> = [];
-
-    this.state = 'run:face';
-    timeStamp = now();
-    const faces = await this.models.face?.estimateFaces(input, this.config);
-    this.#perf.face = Math.trunc(now() - timeStamp);
-    if (!faces) return [];
-    for (const face of faces) {
-      this.#analyze('Get Face');
-
-      // is something went wrong, skip the face
-      if (!face.image || face.image.isDisposedInternal) {
-        log('Face object is disposed:', face.image);
-        continue;
-      }
-
-      const angle = this.#calculateFaceAngle(face.mesh);
-
-      // run age, inherits face from blazeface
-      this.#analyze('Start Age:');
-      if (this.config.async) {
-        ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};
-      } else {
-        this.state = 'run:age';
-        timeStamp = now();
-        ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};
-        this.#perf.age = Math.trunc(now() - timeStamp);
-      }
-
-      // run gender, inherits face from blazeface
-      this.#analyze('Start Gender:');
-      if (this.config.async) {
-        genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};
-      } else {
-        this.state = 'run:gender';
-        timeStamp = now();
-        genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};
-        this.#perf.gender = Math.trunc(now() - timeStamp);
-      }
-
-      // run emotion, inherits face from blazeface
-      this.#analyze('Start Emotion:');
-      if (this.config.async) {
-        emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};
-      } else {
-        this.state = 'run:emotion';
-        timeStamp = now();
-        emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};
-        this.#perf.emotion = Math.trunc(now() - timeStamp);
-      }
-      this.#analyze('End Emotion:');
-
-      // run emotion, inherits face from blazeface
-      this.#analyze('Start Embedding:');
-      if (this.config.async) {
-        embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face, this.config) : [];
-      } else {
-        this.state = 'run:embedding';
-        timeStamp = now();
-        embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face, this.config) : [];
-        this.#perf.embedding = Math.trunc(now() - timeStamp);
-      }
-      this.#analyze('End Emotion:');
-
-      // if async wait for results
-      if (this.config.async) {
-        [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);
-      }
-
-      this.#analyze('Finish Face:');
-
-      // calculate iris distance
-      // iris: array[ center, left, top, right, bottom]
-      if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {
-        delete face.annotations.leftEyeIris;
-        delete face.annotations.rightEyeIris;
-      }
-      const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)
-        /* average human iris size is 11.7mm */
-        ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))
-        : 0;
-
-      // combine results
-      faceRes.push({
-        ...face,
-        age: ageRes.age,
-        gender: genderRes.gender,
-        genderConfidence: genderRes.confidence,
-        emotion: emotionRes,
-        embedding: embeddingRes,
-        iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,
-        angle,
-        tensor: this.config.face.detector.return ? face.image?.squeeze() : null,
-      });
-      // dispose original face tensor
-      face.image?.dispose();
-
-      this.#analyze('End Face');
-    }
-    this.#analyze('End FaceMesh:');
-    if (this.config.async) {
-      if (this.#perf.face) delete this.#perf.face;
-      if (this.#perf.age) delete this.#perf.age;
-      if (this.#perf.gender) delete this.#perf.gender;
-      if (this.#perf.emotion) delete this.#perf.emotion;
-    }
-    return faceRes;
-  }
-
   // main detect function
   async detect(input: Input, userConfig: Config | Object = {}): Promise<Result | Error> {
     // detection happens inside a promise
@@ -490,7 +317,7 @@ export class Human {
       await this.load();
 
       if (this.config.scoped) this.tf.engine().startScope();
-      this.#analyze('Start Scope:');
+      this.analyze('Start Scope:');
 
       timeStamp = now();
       const process = image.process(input, this.config);
@@ -499,8 +326,8 @@ export class Human {
         resolve({ error: 'could not convert input to tensor' });
         return;
       }
-      this.#perf.image = Math.trunc(now() - timeStamp);
+      this.perf.image = Math.trunc(now() - timeStamp);
-      this.#analyze('Get Image:');
+      this.analyze('Get Image:');
 
       // prepare where to store model results
       let bodyRes;
@@ -510,55 +337,55 @@ export class Human {
 
       // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion
       if (this.config.async) {
-        faceRes = this.config.face.enabled ? this.#detectFace(process.tensor) : [];
+        faceRes = this.config.face.enabled ? faceall.detectFace(this, process.tensor) : [];
-        if (this.#perf.face) delete this.#perf.face;
+        if (this.perf.face) delete this.perf.face;
       } else {
         this.state = 'run:face';
         timeStamp = now();
-        faceRes = this.config.face.enabled ? await this.#detectFace(process.tensor) : [];
+        faceRes = this.config.face.enabled ? await faceall.detectFace(this, process.tensor) : [];
-        this.#perf.face = Math.trunc(now() - timeStamp);
+        this.perf.face = Math.trunc(now() - timeStamp);
       }
 
       // run body: can be posenet or blazepose
-      this.#analyze('Start Body:');
+      this.analyze('Start Body:');
       if (this.config.async) {
         if (this.config.body.modelPath.includes('posenet')) bodyRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];
         else bodyRes = this.config.body.enabled ? blazepose.predict(process.tensor, this.config) : [];
-        if (this.#perf.body) delete this.#perf.body;
+        if (this.perf.body) delete this.perf.body;
       } else {
         this.state = 'run:body';
         timeStamp = now();
         if (this.config.body.modelPath.includes('posenet')) bodyRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];
         else bodyRes = this.config.body.enabled ? await blazepose.predict(process.tensor, this.config) : [];
-        this.#perf.body = Math.trunc(now() - timeStamp);
+        this.perf.body = Math.trunc(now() - timeStamp);
       }
-      this.#analyze('End Body:');
+      this.analyze('End Body:');
 
       // run handpose
-      this.#analyze('Start Hand:');
+      this.analyze('Start Hand:');
       if (this.config.async) {
         handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];
-        if (this.#perf.hand) delete this.#perf.hand;
+        if (this.perf.hand) delete this.perf.hand;
       } else {
         this.state = 'run:hand';
         timeStamp = now();
         handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];
-        this.#perf.hand = Math.trunc(now() - timeStamp);
+        this.perf.hand = Math.trunc(now() - timeStamp);
       }
-      this.#analyze('End Hand:');
+      this.analyze('End Hand:');
 
       // run nanodet
-      this.#analyze('Start Object:');
+      this.analyze('Start Object:');
       if (this.config.async) {
         objectRes = this.config.object.enabled ? nanodet.predict(process.tensor, this.config) : [];
-        if (this.#perf.object) delete this.#perf.object;
+        if (this.perf.object) delete this.perf.object;
       } else {
         this.state = 'run:object';
         timeStamp = now();
         objectRes = this.config.object.enabled ? await nanodet.predict(process.tensor, this.config) : [];
-        this.#perf.object = Math.trunc(now() - timeStamp);
+        this.perf.object = Math.trunc(now() - timeStamp);
       }
-      this.#analyze('End Object:');
+      this.analyze('End Object:');
 
       // if async wait for results
       if (this.config.async) {
@@ -567,18 +394,18 @@ export class Human {
       process.tensor.dispose();
 
       if (this.config.scoped) this.tf.engine().endScope();
-      this.#analyze('End Scope:');
+      this.analyze('End Scope:');
 
       let gestureRes = [];
       if (this.config.gesture.enabled) {
         timeStamp = now();
         // @ts-ignore
         gestureRes = [...gesture.face(faceRes), ...gesture.body(bodyRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];
-        if (!this.config.async) this.#perf.gesture = Math.trunc(now() - timeStamp);
+        if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);
-        else if (this.#perf.gesture) delete this.#perf.gesture;
+        else if (this.perf.gesture) delete this.perf.gesture;
       }
 
-      this.#perf.total = Math.trunc(now() - timeStart);
+      this.perf.total = Math.trunc(now() - timeStart);
       this.state = 'idle';
       const result = {
         face: faceRes,
@@ -586,7 +413,7 @@ export class Human {
         hand: handRes,
         gesture: gestureRes,
         object: objectRes,
-        performance: this.#perf,
+        performance: this.perf,
         canvas: process.canvas,
       };
       // log('Result:', result);

src/image/image.ts

@@ -1,6 +1,6 @@
 // @ts-nocheck
 
-import { log } from '../log';
+import { log } from '../helpers';
 import * as tf from '../../dist/tfjs.esm.js';
 import * as fxImage from './imagefx';
 

src/nanodet/nanodet.ts

@@ -1,4 +1,4 @@
-import { log } from '../log';
+import { log } from '../helpers';
 import * as tf from '../../dist/tfjs.esm.js';
 import * as profile from '../profile';
 

src/profile.ts

@@ -1,4 +1,4 @@
-import { log } from './log';
+import { log } from './helpers';
 
 export const data = {};
 

src/tfjs/backend.ts

@@ -1,4 +1,4 @@
-import { log } from '../log';
+import { log } from '../helpers';
 import * as tf from '../../dist/tfjs.esm.js';
 
 export const config = {