enumerate additional models

CHANGELOG.md

@@ -9,12 +9,13 @@
   
 ## Changelog
   
+### **HEAD -> main** 2022/08/10 mandic00@live.com
+
+
 ### **2.9.3** 2022/08/10 mandic00@live.com
 
 - rehault testing framework
-
+- release refresh
-### **origin/main** 2022/08/08 mandic00@live.com
-
 - add insightface
 
 ### **2.9.2** 2022/08/08 mandic00@live.com

build.js

@@ -1,12 +1,22 @@
 const fs = require('fs');
+const path = require('path');
 const log = require('@vladmandic/pilogger');
 const Build = require('@vladmandic/build').Build;
 const APIExtractor = require('@microsoft/api-extractor');
 const tf = require('@tensorflow/tfjs-node');
 const package = require('./package.json');
 
-const modelsDir = '../human-models/models';
 const modelsOut = 'models/models.json';
+const modelsFolders = [
+  './models',
+  '../human-models/models',
+  '../blazepose/model/',
+  '../anti-spoofing/model',
+  '../efficientpose/models',
+  '../insightface/models',
+  '../movenet/models',
+  '../nanodet/models',
+];
 
 const apiExtractorIgnoreList = [ // eslint-disable-line @typescript-eslint/no-unused-vars
   'ae-missing-release-tag',
@@ -27,29 +37,33 @@ function copy(src, dst) {
 }
 
 async function analyzeModels() {
-  log.info('Analyze:', { modelsDir, modelsOut });
+  log.info('Analyze models:', { folders: modelsFolders.length, result: modelsOut });
   let totalSize = 0;
   const models = {};
-  let dir;
+  const allModels = [];
-  try {
+  for (const folder of modelsFolders) {
-    dir = fs.readdirSync(modelsDir);
+    try {
-  } catch {
+      if (!fs.existsSync(folder)) continue;
-    log.warn('Cannot enumerate:', modelsDir);
+      const stat = fs.statSync(folder);
+      if (!stat.isDirectory) continue;
+      const dir = fs.readdirSync(folder);
+      const found = dir.map((f) => `file://${folder}/${f}`).filter((f) => f.endsWith('json'));
+      log.state('Models', { folder, models: found.length });
+      allModels.push(...found);
+    } catch {
+      // log.warn('Cannot enumerate:', modelFolder);
+    }
   }
-  if (!dir || dir.length === 0) {
+  for (const url of allModels) {
-    log.warn('No models found:', modelsDir);
+    // if (!f.endsWith('.json')) continue;
-    return;
+    // const url = `file://${modelsDir}/${f}`;
-  }
-  for (const f of dir) {
-    if (!f.endsWith('.json')) continue;
-    const url = `file://${modelsDir}/${f}`;
     const model = new tf.GraphModel(url); // create model prototype and decide if load from cache or from original modelurl
     model.findIOHandler();
     const artifacts = await model.handler.load();
     const size = artifacts?.weightData?.byteLength || 0;
     totalSize += size;
-    const name = f.replace('.json', '');
+    const name = path.basename(url).replace('.json', '');
-    models[name] = size;
+    if (!models[name]) models[name] = size;
   }
   const json = JSON.stringify(models, null, 2);
   fs.writeFileSync(modelsOut, json);

dist/human.esm.js

@@ -73524,10 +73524,12 @@ var env2 = new Env();
 var models_exports = {};
 __export(models_exports, {
   age: () => age,
+  "anti-spoofing": () => anti_spoofing,
   antispoof: () => antispoof,
   blazeface: () => blazeface,
   "blazeface-back": () => blazeface_back,
   "blazeface-front": () => blazeface_front,
+  "blazepose-detect": () => blazepose_detect,
   "blazepose-detector2d": () => blazepose_detector2d,
   "blazepose-detector3d": () => blazepose_detector3d,
   "blazepose-full": () => blazepose_full,
@@ -73535,6 +73537,9 @@ __export(models_exports, {
   "blazepose-lite": () => blazepose_lite,
   default: () => models_default,
   efficientpose: () => efficientpose,
+  "efficientpose-i-lite": () => efficientpose_i_lite,
+  "efficientpose-ii-lite": () => efficientpose_ii_lite,
+  "efficientpose-iv": () => efficientpose_iv,
   emotion: () => emotion,
   faceboxes: () => faceboxes,
   facemesh: () => facemesh,
@@ -73554,104 +73559,144 @@ __export(models_exports, {
   "handlandmark-sparse": () => handlandmark_sparse,
   handskeleton: () => handskeleton,
   handtrack: () => handtrack,
+  "insightface-efficientnet-b0": () => insightface_efficientnet_b0,
+  "insightface-ghostnet-strides1": () => insightface_ghostnet_strides1,
+  "insightface-ghostnet-strides2": () => insightface_ghostnet_strides2,
+  "insightface-mobilenet-emore": () => insightface_mobilenet_emore,
+  "insightface-mobilenet-swish": () => insightface_mobilenet_swish,
   iris: () => iris,
   liveness: () => liveness,
   "mb3-centernet": () => mb3_centernet,
   meet: () => meet,
   mobileface: () => mobileface,
   mobilefacenet: () => mobilefacenet,
+  models: () => models,
   "movenet-lightning": () => movenet_lightning,
   "movenet-multipose": () => movenet_multipose,
   "movenet-thunder": () => movenet_thunder,
   nanodet: () => nanodet,
+  "nanodet-e": () => nanodet_e,
+  "nanodet-g": () => nanodet_g,
+  "nanodet-m": () => nanodet_m,
+  "nanodet-t": () => nanodet_t,
   posenet: () => posenet,
   selfie: () => selfie
 });
-var age = 161240;
 var antispoof = 853098;
+var blazeface = 538928;
+var emotion = 820516;
+var facemesh = 1477958;
+var faceres = 6978814;
+var handlandmark_full = 5431368;
+var handtrack = 2964837;
+var iris = 2599092;
+var liveness = 592976;
+var mb3_centernet = 4030290;
+var models = 0;
+var movenet_lightning = 4650216;
+var selfie = 212886;
+var age = 161240;
 var blazeface_back = 538928;
 var blazeface_front = 402048;
-var blazeface = 538928;
 var blazepose_detector2d = 7499400;
 var blazepose_detector3d = 5928856;
 var blazepose_full = 6338290;
 var blazepose_heavy = 27501554;
 var blazepose_lite = 2725490;
 var efficientpose = 5651240;
-var emotion = 820516;
 var faceboxes = 2013002;
 var facemesh_attention_alt = 2387598;
 var facemesh_attention = 2382414;
 var facemesh_detection_full = 1026192;
 var facemesh_detection_short = 201268;
 var facemesh_orig = 2955780;
-var facemesh = 1477958;
 var faceres_deep = 13957620;
-var faceres = 6978814;
 var gear = 1498916;
 var gender_ssrnet_imdb = 161236;
 var gender = 201808;
 var handdetect = 3515612;
-var handlandmark_full = 5431368;
 var handlandmark_lite = 2023432;
 var handlandmark_sparse = 5286322;
 var handskeleton = 5502280;
-var handtrack = 2964837;
-var iris = 2599092;
-var liveness = 592976;
-var mb3_centernet = 4030290;
 var meet = 372228;
 var mobileface = 2183192;
 var mobilefacenet = 5171976;
-var movenet_lightning = 4650216;
 var movenet_multipose = 9448838;
 var movenet_thunder = 12477112;
 var nanodet = 7574558;
 var posenet = 5032780;
-var selfie = 212886;
+var blazepose_detect = 5928804;
+var anti_spoofing = 853098;
+var efficientpose_i_lite = 2269064;
+var efficientpose_ii_lite = 5651240;
+var efficientpose_iv = 25643252;
+var insightface_efficientnet_b0 = 13013224;
+var insightface_ghostnet_strides1 = 8093408;
+var insightface_ghostnet_strides2 = 8049584;
+var insightface_mobilenet_emore = 6938536;
+var insightface_mobilenet_swish = 12168584;
+var nanodet_e = 12319156;
+var nanodet_g = 7574558;
+var nanodet_m = 1887474;
+var nanodet_t = 5294216;
 var models_default = {
-  age,
   antispoof,
+  blazeface,
+  emotion,
+  facemesh,
+  faceres,
+  "handlandmark-full": handlandmark_full,
+  handtrack,
+  iris,
+  liveness,
+  "mb3-centernet": mb3_centernet,
+  models,
+  "movenet-lightning": movenet_lightning,
+  selfie,
+  age,
   "blazeface-back": blazeface_back,
   "blazeface-front": blazeface_front,
-  blazeface,
   "blazepose-detector2d": blazepose_detector2d,
   "blazepose-detector3d": blazepose_detector3d,
   "blazepose-full": blazepose_full,
   "blazepose-heavy": blazepose_heavy,
   "blazepose-lite": blazepose_lite,
   efficientpose,
-  emotion,
   faceboxes,
   "facemesh-attention-alt": facemesh_attention_alt,
   "facemesh-attention": facemesh_attention,
   "facemesh-detection-full": facemesh_detection_full,
   "facemesh-detection-short": facemesh_detection_short,
   "facemesh-orig": facemesh_orig,
-  facemesh,
   "faceres-deep": faceres_deep,
-  faceres,
   gear,
   "gender-ssrnet-imdb": gender_ssrnet_imdb,
   gender,
   handdetect,
-  "handlandmark-full": handlandmark_full,
   "handlandmark-lite": handlandmark_lite,
   "handlandmark-sparse": handlandmark_sparse,
   handskeleton,
-  handtrack,
-  iris,
-  liveness,
-  "mb3-centernet": mb3_centernet,
   meet,
   mobileface,
   mobilefacenet,
-  "movenet-lightning": movenet_lightning,
   "movenet-multipose": movenet_multipose,
   "movenet-thunder": movenet_thunder,
   nanodet,
   posenet,
-  selfie
+  "blazepose-detect": blazepose_detect,
+  "anti-spoofing": anti_spoofing,
+  "efficientpose-i-lite": efficientpose_i_lite,
+  "efficientpose-ii-lite": efficientpose_ii_lite,
+  "efficientpose-iv": efficientpose_iv,
+  "insightface-efficientnet-b0": insightface_efficientnet_b0,
+  "insightface-ghostnet-strides1": insightface_ghostnet_strides1,
+  "insightface-ghostnet-strides2": insightface_ghostnet_strides2,
+  "insightface-mobilenet-emore": insightface_mobilenet_emore,
+  "insightface-mobilenet-swish": insightface_mobilenet_swish,
+  "nanodet-e": nanodet_e,
+  "nanodet-g": nanodet_g,
+  "nanodet-m": nanodet_m,
+  "nanodet-t": nanodet_t
 };
 
 // src/models.ts
@@ -77669,7 +77714,7 @@ function scale2(box, scaleFact) {
 
 // src/body/blazepose.ts
 var env3 = { initial: true };
-var models = { detector: null, landmarks: null };
+var models2 = { detector: null, landmarks: null };
 var inputSize3 = { detector: [224, 224], landmarks: [256, 256] };
 var skipped5 = Number.MAX_SAFE_INTEGER;
 var outputNodes = {
@@ -77683,28 +77728,28 @@ var lastTime5 = 0;
 var sigmoid6 = (x) => 1 - 1 / (1 + Math.exp(x));
 async function loadDetect(config3) {
   if (env3.initial)
-    models.detector = null;
+    models2.detector = null;
-  if (!models.detector && config3.body["detector"] && config3.body["detector"]["modelPath"] || "") {
+  if (!models2.detector && config3.body["detector"] && config3.body["detector"]["modelPath"] || "") {
-    models.detector = await loadModel(config3.body["detector"]["modelPath"]);
+    models2.detector = await loadModel(config3.body["detector"]["modelPath"]);
-    const inputs = Object.values(models.detector.modelSignature["inputs"]);
+    const inputs = Object.values(models2.detector.modelSignature["inputs"]);
     inputSize3.detector[0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
     inputSize3.detector[1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
-  } else if (config3.debug && models.detector)
+  } else if (config3.debug && models2.detector)
-    log("cached model:", models.detector["modelUrl"]);
+    log("cached model:", models2.detector["modelUrl"]);
   await createAnchors();
-  return models.detector;
+  return models2.detector;
 }
 async function loadPose(config3) {
   if (env3.initial)
-    models.landmarks = null;
+    models2.landmarks = null;
-  if (!models.landmarks) {
+  if (!models2.landmarks) {
-    models.landmarks = await loadModel(config3.body.modelPath);
+    models2.landmarks = await loadModel(config3.body.modelPath);
-    const inputs = Object.values(models.landmarks.modelSignature["inputs"]);
+    const inputs = Object.values(models2.landmarks.modelSignature["inputs"]);
     inputSize3.landmarks[0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
     inputSize3.landmarks[1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
   } else if (config3.debug)
-    log("cached model:", models.landmarks["modelUrl"]);
+    log("cached model:", models2.landmarks["modelUrl"]);
-  return models.landmarks;
+  return models2.landmarks;
 }
 async function prepareImage(input2, size2) {
   const t2 = {};
@@ -77779,7 +77824,7 @@ async function fixKeypoints(keypoints) {
 async function detectLandmarks(input2, config3, outputSize2) {
   var _a;
   const t2 = {};
-  [t2.ld, t2.segmentation, t2.heatmap, t2.world, t2.poseflag] = (_a = models.landmarks) == null ? void 0 : _a.execute(input2, outputNodes.landmarks);
+  [t2.ld, t2.segmentation, t2.heatmap, t2.world, t2.poseflag] = (_a = models2.landmarks) == null ? void 0 : _a.execute(input2, outputNodes.landmarks);
   const poseScore = (await t2.poseflag.data())[0];
   const points = await t2.ld.data();
   const distances = await t2.world.data();
@@ -83002,7 +83047,7 @@ function fakeOps(kernelNames, config3) {
 }
 
 // src/hand/handtrack.ts
-var models2 = [null, null];
+var models3 = [null, null];
 var modelOutputNodes = ["StatefulPartitionedCall/Postprocessor/Slice", "StatefulPartitionedCall/Postprocessor/ExpandDims_1"];
 var inputSize7 = [[0, 0], [0, 0]];
 var classes = ["hand", "fist", "pinch", "point", "face", "tip", "pinchtip"];
@@ -83029,33 +83074,33 @@ var fingerMap = {
 async function loadDetect2(config3) {
   var _a;
   if (env2.initial)
-    models2[0] = null;
+    models3[0] = null;
-  if (!models2[0]) {
+  if (!models3[0]) {
     fakeOps(["tensorlistreserve", "enter", "tensorlistfromtensor", "merge", "loopcond", "switch", "exit", "tensorliststack", "nextiteration", "tensorlistsetitem", "tensorlistgetitem", "reciprocal", "shape", "split", "where"], config3);
-    models2[0] = await loadModel((_a = config3.hand.detector) == null ? void 0 : _a.modelPath);
+    models3[0] = await loadModel((_a = config3.hand.detector) == null ? void 0 : _a.modelPath);
-    const inputs = Object.values(models2[0].modelSignature["inputs"]);
+    const inputs = Object.values(models3[0].modelSignature["inputs"]);
     inputSize7[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
     inputSize7[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
   } else if (config3.debug)
-    log("cached model:", models2[0]["modelUrl"]);
+    log("cached model:", models3[0]["modelUrl"]);
-  return models2[0];
+  return models3[0];
 }
 async function loadSkeleton(config3) {
   var _a;
   if (env2.initial)
-    models2[1] = null;
+    models3[1] = null;
-  if (!models2[1]) {
+  if (!models3[1]) {
-    models2[1] = await loadModel((_a = config3.hand.skeleton) == null ? void 0 : _a.modelPath);
+    models3[1] = await loadModel((_a = config3.hand.skeleton) == null ? void 0 : _a.modelPath);
-    const inputs = Object.values(models2[1].modelSignature["inputs"]);
+    const inputs = Object.values(models3[1].modelSignature["inputs"]);
     inputSize7[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
     inputSize7[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
   } else if (config3.debug)
-    log("cached model:", models2[1]["modelUrl"]);
+    log("cached model:", models3[1]["modelUrl"]);
-  return models2[1];
+  return models3[1];
 }
 async function detectHands(input2, config3) {
   const hands = [];
-  if (!input2 || !models2[0])
+  if (!input2 || !models3[0])
     return hands;
   const t2 = {};
   const ratio = (input2.shape[2] || 1) / (input2.shape[1] || 1);
@@ -83063,7 +83108,7 @@ async function detectHands(input2, config3) {
   const width = Math.round(height * ratio / 8) * 8;
   t2.resize = image.resizeBilinear(input2, [height, width]);
   t2.cast = cast(t2.resize, "int32");
-  [t2.rawScores, t2.rawBoxes] = await models2[0].executeAsync(t2.cast, modelOutputNodes);
+  [t2.rawScores, t2.rawBoxes] = await models3[0].executeAsync(t2.cast, modelOutputNodes);
   t2.boxes = squeeze(t2.rawBoxes, [0, 2]);
   t2.scores = squeeze(t2.rawScores, [0]);
   const classScores = unstack(t2.scores, 1);
@@ -83109,12 +83154,12 @@ async function detectFingers(input2, h, config3) {
     landmarks: {},
     annotations: {}
   };
-  if (input2 && models2[1] && config3.hand.landmarks && h.score > (config3.hand.minConfidence || 0)) {
+  if (input2 && models3[1] && config3.hand.landmarks && h.score > (config3.hand.minConfidence || 0)) {
     const t2 = {};
     const boxCrop = [h.boxRaw[1], h.boxRaw[0], h.boxRaw[3] + h.boxRaw[1], h.boxRaw[2] + h.boxRaw[0]];
     t2.crop = image.cropAndResize(input2, [boxCrop], [0], [inputSize7[1][0], inputSize7[1][1]], "bilinear");
     t2.div = div(t2.crop, constants.tf255);
-    [t2.score, t2.keypoints] = models2[1].execute(t2.div, ["Identity_1", "Identity"]);
+    [t2.score, t2.keypoints] = models3[1].execute(t2.div, ["Identity_1", "Identity"]);
     const rawScore = (await t2.score.data())[0];
     const score = (100 - Math.trunc(100 / (1 + Math.exp(rawScore)))) / 100;
     if (score >= (config3.hand.minConfidence || 0)) {
@@ -83135,7 +83180,7 @@ async function detectFingers(input2, h, config3) {
 }
 async function predict14(input2, config3) {
   var _a, _b;
-  if (!models2[0] || !models2[1] || !((_a = models2[0]) == null ? void 0 : _a.inputs[0].shape) || !((_b = models2[1]) == null ? void 0 : _b.inputs[0].shape))
+  if (!models3[0] || !models3[1] || !((_a = models3[0]) == null ? void 0 : _a.inputs[0].shape) || !((_b = models3[1]) == null ? void 0 : _b.inputs[0].shape))
     return [];
   outputSize = [input2.shape[2] || 0, input2.shape[1] || 0];
   skipped12++;

models/models.json

@@ -1,44 +1,59 @@
 {
-  "age": 161240,
   "antispoof": 853098,
+  "blazeface": 538928,
+  "emotion": 820516,
+  "facemesh": 1477958,
+  "faceres": 6978814,
+  "handlandmark-full": 5431368,
+  "handtrack": 2964837,
+  "iris": 2599092,
+  "liveness": 592976,
+  "mb3-centernet": 4030290,
+  "models": 0,
+  "movenet-lightning": 4650216,
+  "selfie": 212886,
+  "age": 161240,
   "blazeface-back": 538928,
   "blazeface-front": 402048,
-  "blazeface": 538928,
   "blazepose-detector2d": 7499400,
   "blazepose-detector3d": 5928856,
   "blazepose-full": 6338290,
   "blazepose-heavy": 27501554,
   "blazepose-lite": 2725490,
   "efficientpose": 5651240,
-  "emotion": 820516,
   "faceboxes": 2013002,
   "facemesh-attention-alt": 2387598,
   "facemesh-attention": 2382414,
   "facemesh-detection-full": 1026192,
   "facemesh-detection-short": 201268,
   "facemesh-orig": 2955780,
-  "facemesh": 1477958,
   "faceres-deep": 13957620,
-  "faceres": 6978814,
   "gear": 1498916,
   "gender-ssrnet-imdb": 161236,
   "gender": 201808,
   "handdetect": 3515612,
-  "handlandmark-full": 5431368,
   "handlandmark-lite": 2023432,
   "handlandmark-sparse": 5286322,
   "handskeleton": 5502280,
-  "handtrack": 2964837,
-  "iris": 2599092,
-  "liveness": 592976,
-  "mb3-centernet": 4030290,
   "meet": 372228,
   "mobileface": 2183192,
   "mobilefacenet": 5171976,
-  "movenet-lightning": 4650216,
   "movenet-multipose": 9448838,
   "movenet-thunder": 12477112,
   "nanodet": 7574558,
   "posenet": 5032780,
-  "selfie": 212886
+  "blazepose-detect": 5928804,
+  "anti-spoofing": 853098,
+  "efficientpose-i-lite": 2269064,
+  "efficientpose-ii-lite": 5651240,
+  "efficientpose-iv": 25643252,
+  "insightface-efficientnet-b0": 13013224,
+  "insightface-ghostnet-strides1": 8093408,
+  "insightface-ghostnet-strides2": 8049584,
+  "insightface-mobilenet-emore": 6938536,
+  "insightface-mobilenet-swish": 12168584,
+  "nanodet-e": 12319156,
+  "nanodet-g": 7574558,
+  "nanodet-m": 1887474,
+  "nanodet-t": 5294216
 }

package.json

@@ -7,6 +7,13 @@
   "module": "dist/human.esm.js",
   "browser": "dist/human.esm.js",
   "types": "types/human.d.ts",
+  "exports": {
+    "require": "./dist/human.node.js",
+    "import": "./dist/human.esm.js",
+    "script": "./dist/human.js",
+    "module": "./dist/human.esm.js",
+    "types": "./types/human.d.ts"
+  },
   "author": "Vladimir Mandic <mandic00@live.com>",
   "bugs": {
     "url": "https://github.com/vladmandic/human/issues"
@@ -59,7 +66,7 @@
     "node-webcam": "^0.8.1"
   },
   "devDependencies": {
-    "@microsoft/api-extractor": "^7.29.0",
+    "@microsoft/api-extractor": "^7.29.2",
     "@tensorflow/tfjs": "^3.19.0",
     "@tensorflow/tfjs-backend-cpu": "^3.19.0",
     "@tensorflow/tfjs-backend-wasm": "^3.19.0",
@@ -72,15 +79,15 @@
     "@tensorflow/tfjs-node": "^3.19.0",
     "@tensorflow/tfjs-node-gpu": "^3.19.0",
     "@tensorflow/tfjs-tflite": "0.0.1-alpha.8",
-    "@types/node": "^18.6.4",
+    "@types/node": "^18.7.2",
     "@types/offscreencanvas": "^2019.7.0",
-    "@typescript-eslint/eslint-plugin": "^5.32.0",
+    "@typescript-eslint/eslint-plugin": "^5.33.0",
-    "@typescript-eslint/parser": "^5.32.0",
+    "@typescript-eslint/parser": "^5.33.0",
-    "@vladmandic/build": "^0.7.8",
+    "@vladmandic/build": "^0.7.9",
     "@vladmandic/pilogger": "^0.4.6",
     "@vladmandic/tfjs": "github:vladmandic/tfjs",
     "@webgpu/types": "^0.1.21",
-    "esbuild": "^0.14.54",
+    "esbuild": "^0.15.1",
     "eslint": "8.21.0",
     "eslint-config-airbnb-base": "^15.0.0",
     "eslint-plugin-html": "^7.1.0",

test/build.log

@@ -1,24 +1,24 @@
-2022-08-10 13:47:25 INFO:  Application: {"name":"@vladmandic/human","version":"2.9.3"} 
+2022-08-12 09:12:16 INFO:  Application: {"name":"@vladmandic/human","version":"2.9.3"} 
-2022-08-10 13:47:25 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 
+2022-08-12 09:12:16 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 
-2022-08-10 13:47:25 INFO:  Toolchain: {"build":"0.7.8","esbuild":"0.14.54","typescript":"4.7.4","typedoc":"0.23.10","eslint":"8.21.0"} 
+2022-08-12 09:12:16 INFO:  Toolchain: {"build":"0.7.9","esbuild":"0.15.1","typescript":"4.7.4","typedoc":"0.23.10","eslint":"8.21.0"} 
-2022-08-10 13:47:25 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
+2022-08-12 09:12:16 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
-2022-08-10 13:47:25 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]} 
+2022-08-12 09:12:16 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":608} 
+2022-08-12 09:12:16 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":608} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":75,"inputBytes":654091,"outputBytes":306229} 
+2022-08-12 09:12:16 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":75,"inputBytes":654779,"outputBytes":307161} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":612} 
+2022-08-12 09:12:16 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":612} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":75,"inputBytes":654095,"outputBytes":306233} 
+2022-08-12 09:12:16 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":75,"inputBytes":654783,"outputBytes":307165} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":664} 
+2022-08-12 09:12:16 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":664} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":75,"inputBytes":654147,"outputBytes":306283} 
+2022-08-12 09:12:16 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":75,"inputBytes":654835,"outputBytes":307215} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358} 
+2022-08-12 09:12:16 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1032,"outputBytes":583} 
+2022-08-12 09:12:16 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1032,"outputBytes":583} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":75,"inputBytes":654066,"outputBytes":305082} 
+2022-08-12 09:12:16 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":75,"inputBytes":654754,"outputBytes":306014} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":11,"inputBytes":1271,"outputBytes":2787569} 
+2022-08-12 09:12:17 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":11,"inputBytes":1271,"outputBytes":2787569} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":75,"inputBytes":3441052,"outputBytes":1667923} 
+2022-08-12 09:12:17 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":75,"inputBytes":3441740,"outputBytes":1668900} 
-2022-08-10 13:47:25 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":75,"inputBytes":3441052,"outputBytes":3070725} 
+2022-08-12 09:12:17 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":75,"inputBytes":3441740,"outputBytes":3072630} 
-2022-08-10 13:47:31 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":30} 
+2022-08-12 09:12:23 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":30} 
-2022-08-10 13:47:34 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":77,"generated":true} 
+2022-08-12 09:12:25 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":77,"generated":true} 
-2022-08-10 13:47:34 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6716,"outputBytes":3141} 
+2022-08-12 09:12:25 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6716,"outputBytes":3141} 
-2022-08-10 13:47:34 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15629,"outputBytes":7798} 
+2022-08-12 09:12:25 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15629,"outputBytes":7798} 
-2022-08-10 13:47:43 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":109,"errors":0,"warnings":0} 
+2022-08-12 09:12:35 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":109,"errors":0,"warnings":0} 
-2022-08-10 13:47:43 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
+2022-08-12 09:12:35 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
-2022-08-10 13:47:43 INFO:  Done... 
+2022-08-12 09:12:35 INFO:  Done...