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enumerate additional models

pull/293/head
Vladimir Mandic 2022-08-12 09:13:48 -04:00
parent 9a80bbc39d
commit 8ec586e2b8
15 changed files with 295 additions and 2390 deletions
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7
CHANGELOG.md
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@ -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
### **origin/main** 2022/08/08 mandic00@live.com
- release refresh
- add insightface
### **2.9.2** 2022/08/08 mandic00@live.com

46
build.js
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@ -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;
try {
dir = fs.readdirSync(modelsDir);
} catch {
log.warn('Cannot enumerate:', modelsDir);
const allModels = [];
for (const folder of modelsFolders) {
try {
if (!fs.existsSync(folder)) continue;
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) {
log.warn('No models found:', modelsDir);
return;
}
for (const f of dir) {
if (!f.endsWith('.json')) continue;
const url = `file://${modelsDir}/${f}`;
for (const url of allModels) {
// 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', '');
models[name] = size;
const name = path.basename(url).replace('.json', '');
if (!models[name]) models[name] = size;
}
const json = JSON.stringify(models, null, 2);
fs.writeFileSync(modelsOut, json);

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dist/human.esm.js vendored
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@ -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;
if (!models.detector && config3.body["detector"] && config3.body["detector"]["modelPath"] || "") {
models.detector = await loadModel(config3.body["detector"]["modelPath"]);
const inputs = Object.values(models.detector.modelSignature["inputs"]);
models2.detector = null;
if (!models2.detector && config3.body["detector"] && config3.body["detector"]["modelPath"] || "") {
models2.detector = await loadModel(config3.body["detector"]["modelPath"]);
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)
log("cached model:", models.detector["modelUrl"]);
} else if (config3.debug && models2.detector)
log("cached model:", models2.detector["modelUrl"]);
await createAnchors();
return models.detector;
return models2.detector;
}
async function loadPose(config3) {
if (env3.initial)
models.landmarks = null;
if (!models.landmarks) {
models.landmarks = await loadModel(config3.body.modelPath);
const inputs = Object.values(models.landmarks.modelSignature["inputs"]);
models2.landmarks = null;
if (!models2.landmarks) {
models2.landmarks = await loadModel(config3.body.modelPath);
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"]);
return models.landmarks;
log("cached model:", models2.landmarks["modelUrl"]);
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;
if (!models2[0]) {
models3[0] = null;
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);
const inputs = Object.values(models2[0].modelSignature["inputs"]);
models3[0] = await loadModel((_a = config3.hand.detector) == null ? void 0 : _a.modelPath);
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"]);
return models2[0];
log("cached model:", models3[0]["modelUrl"]);
return models3[0];
}
async function loadSkeleton(config3) {
var _a;
if (env2.initial)
models2[1] = null;
if (!models2[1]) {
models2[1] = await loadModel((_a = config3.hand.skeleton) == null ? void 0 : _a.modelPath);
const inputs = Object.values(models2[1].modelSignature["inputs"]);
models3[1] = null;
if (!models3[1]) {
models3[1] = await loadModel((_a = config3.hand.skeleton) == null ? void 0 : _a.modelPath);
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"]);
return models2[1];
log("cached model:", models3[1]["modelUrl"]);
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++;

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models/models.json
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@ -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
}

19
package.json
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@ -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/parser": "^5.32.0",
"@vladmandic/build": "^0.7.8",
"@typescript-eslint/eslint-plugin": "^5.33.0",
"@typescript-eslint/parser": "^5.33.0",
"@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",

48
test/build.log
View File

@ -1,24 +1,24 @@
2022-08-10 13:47:25 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}
2022-08-10 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"}
2022-08-10 13:47:25 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
2022-08-10 13:47:25 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]}
2022-08-10 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}
2022-08-10 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}
2022-08-10 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}
2022-08-10 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}
2022-08-10 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}
2022-08-10 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}
2022-08-10 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}
2022-08-10 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}
2022-08-10 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}
2022-08-10 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}
2022-08-10 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}
2022-08-10 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}
2022-08-10 13:47:31 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}
2022-08-10 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}
2022-08-10 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}
2022-08-10 13:47:43 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"}
2022-08-10 13:47:43 INFO:  Done...
2022-08-12 09:12:16 INFO:  Application: {"name":"@vladmandic/human","version":"2.9.3"}
2022-08-12 09:12:16 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
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"}
2022-08-12 09:12:16 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
2022-08-12 09:12:16 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]}
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}
2022-08-12 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}
2022-08-12 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}
2022-08-12 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}
2022-08-12 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}
2022-08-12 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}
2022-08-12 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}
2022-08-12 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}
2022-08-12 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}
2022-08-12 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}
2022-08-12 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}
2022-08-12 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}
2022-08-12 09:12:23 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":30}
2022-08-12 09:12:25 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":77,"generated":true}
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}
2022-08-12 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}
2022-08-12 09:12:35 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":109,"errors":0,"warnings":0}
2022-08-12 09:12:35 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
2022-08-12 09:12:35 INFO:  Done...