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enable precompile as part of warmup

pull/280/head
Vladimir Mandic 2022-04-15 07:54:27 -04:00
parent 803eb0f571
commit b18e2ace64
19 changed files with 893 additions and 847 deletions
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4
CHANGELOG.md
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@ -11,9 +11,7 @@
### **HEAD -> main** 2022/04/14 mandic00@live.com ### **HEAD -> main** 2022/04/14 mandic00@live.com
- change default face crop
### **origin/main** 2022/04/11 mandic00@live.com
- face attention model is available in human-models - face attention model is available in human-models
- beta release 2.7 - beta release 2.7
- refactor draw methods - refactor draw methods

18
TODO.md
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@ -3,17 +3,19 @@
## Work in Progress ## Work in Progress
Release 2.7: Release 2.7:
- add MediaPipe FaceMesh attention model - Add **MediaPipe FaceMesh-with-Attention** model
model is available in @vladmandic/human-models repository model is available in `@vladmandic/human-models` repository
to enable, set `config.face.attention = true` to enable, set `config.face.attention = true`
model replaces iris and eyes keypoints with high-detailed ones model replaces **iris**, **eyes** and **lips** keypoints with high-detailed ones
and adds additional keypoints for lips - Add model **pre-compile** phase to `warmup` method
- changed default face crop from 120% to 140% result is speed-up to first inference by around ~30% for browser environments
- Changed default face crop from 120% to 140%
to better utilize caching between frames to better utilize caching between frames
- refactor draw methods into separate modules - Refactor **draw** methods into separate modules
- add **ElectronJS** demo - Add **ElectronJS** demo
see <https://github.com/vladmandic/human-electron> see <https://github.com/vladmandic/human-electron>
- update build platform and dependencies - Update build platform and dependencies
- Update **TFJS**
### Exploring ### Exploring

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demo/typescript/index.js
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@ -4,8 +4,8 @@
author: <https://github.com/vladmandic>' author: <https://github.com/vladmandic>'
*/ */
import{Human as p}from"../../dist/human.esm.js";var w={modelBasePath:"../../models",filter:{enabled:!0,equalization:!1},cacheSensitivity:0,face:{enabled:!0,detector:{rotation:!1},mesh:{enabled:!0},attention:{enabled:!1},iris:{enabled:!0},description:{enabled:!0},emotion:{enabled:!0}},body:{enabled:!0},hand:{enabled:!0},object:{enabled:!0},gesture:{enabled:!0}},t=new p(w);t.env.perfadd=!1;t.draw.options.font='small-caps 18px "Lato"';t.draw.options.lineHeight=20;var e={video:document.getElementById("video"),canvas:document.getElementById("canvas"),log:document.getElementById("log"),fps:document.getElementById("status"),perf:document.getElementById("performance")},i={detect:0,draw:0,tensors:0},d={detect:0,draw:0},s=(...a)=>{e.log.innerText+=a.join(" ")+` import{Human as p}from"../../dist/human.esm.js";var w={modelBasePath:"../../models",filter:{enabled:!0,equalization:!1},face:{enabled:!0,detector:{rotation:!1},mesh:{enabled:!0},attention:{enabled:!1},iris:{enabled:!0},description:{enabled:!0},emotion:{enabled:!0}},body:{enabled:!0},hand:{enabled:!0},object:{enabled:!1},gesture:{enabled:!0}},t=new p(w);t.env.perfadd=!1;t.draw.options.font='small-caps 18px "Lato"';t.draw.options.lineHeight=20;var e={video:document.getElementById("video"),canvas:document.getElementById("canvas"),log:document.getElementById("log"),fps:document.getElementById("status"),perf:document.getElementById("performance")},i={detect:0,draw:0,tensors:0},d={detect:0,draw:0},s=(...a)=>{e.log.innerText+=a.join(" ")+`
`,console.log(...a)},r=a=>e.fps.innerText=a,b=a=>e.perf.innerText="tensors:"+t.tf.memory().numTensors+" | performance: "+JSON.stringify(a).replace(/"|{|}/g,"").replace(/,/g," | ");async function h(){r("starting webcam...");let a={audio:!1,video:{facingMode:"user",resizeMode:"none",width:{ideal:document.body.clientWidth}}},n=await navigator.mediaDevices.getUserMedia(a),m=new Promise(f=>{e.video.onloadeddata=()=>f(!0)});e.video.srcObject=n,e.video.play(),await m,e.canvas.width=e.video.videoWidth,e.canvas.height=e.video.videoHeight;let o=n.getVideoTracks()[0],v=o.getCapabilities?o.getCapabilities():"",u=o.getSettings?o.getSettings():"",g=o.getConstraints?o.getConstraints():"";s("video:",e.video.videoWidth,e.video.videoHeight,o.label,{stream:n,track:o,settings:u,constraints:g,capabilities:v}),e.canvas.onclick=()=>{e.video.paused?e.video.play():e.video.pause()}}async function c(){if(!e.video.paused){await t.detect(e.video);let n=t.tf.memory().numTensors;n-i.tensors!==0&&s("allocated tensors:",n-i.tensors),i.tensors=n}let a=t.now();d.detect=1e3/(a-i.detect),i.detect=a,requestAnimationFrame(c)}async function l(){if(!e.video.paused){let n=await t.next(t.result);await t.draw.canvas(e.video,e.canvas),await t.draw.all(e.canvas,n),b(n.performance)}let a=t.now();d.draw=1e3/(a-i.draw),i.draw=a,r(e.video.paused?"paused":`fps: ${d.detect.toFixed(1).padStart(5," ")} detect | ${d.draw.toFixed(1).padStart(5," ")} draw`),setTimeout(l,30)}async function y(){s("human version:",t.version,"| tfjs version:",t.tf.version["tfjs-core"]),s("platform:",t.env.platform,"| agent:",t.env.agent),r("loading..."),await t.load(),s("backend:",t.tf.getBackend(),"| available:",t.env.backends),s("loaded models:",Object.values(t.models).filter(a=>a!==null).length),r("initializing..."),await t.warmup(),await h(),await c(),await l()}window.onload=y; `,console.log(...a)},r=a=>e.fps.innerText=a,b=a=>e.perf.innerText="tensors:"+t.tf.memory().numTensors+" | performance: "+JSON.stringify(a).replace(/"|{|}/g,"").replace(/,/g," | ");async function h(){r("starting webcam...");let a={audio:!1,video:{facingMode:"user",resizeMode:"none",width:{ideal:document.body.clientWidth}}},n=await navigator.mediaDevices.getUserMedia(a),m=new Promise(f=>{e.video.onloadeddata=()=>f(!0)});e.video.srcObject=n,e.video.play(),await m,e.canvas.width=e.video.videoWidth,e.canvas.height=e.video.videoHeight;let o=n.getVideoTracks()[0],v=o.getCapabilities?o.getCapabilities():"",g=o.getSettings?o.getSettings():"",u=o.getConstraints?o.getConstraints():"";s("video:",e.video.videoWidth,e.video.videoHeight,o.label,{stream:n,track:o,settings:g,constraints:u,capabilities:v}),e.canvas.onclick=()=>{e.video.paused?e.video.play():e.video.pause()}}async function c(){if(!e.video.paused){await t.detect(e.video);let n=t.tf.memory().numTensors;n-i.tensors!==0&&s("allocated tensors:",n-i.tensors),i.tensors=n}let a=t.now();d.detect=1e3/(a-i.detect),i.detect=a,requestAnimationFrame(c)}async function l(){if(!e.video.paused){let n=await t.next(t.result);await t.draw.canvas(e.video,e.canvas),await t.draw.all(e.canvas,n),b(n.performance)}let a=t.now();d.draw=1e3/(a-i.draw),i.draw=a,r(e.video.paused?"paused":`fps: ${d.detect.toFixed(1).padStart(5," ")} detect | ${d.draw.toFixed(1).padStart(5," ")} draw`),setTimeout(l,30)}async function y(){s("human version:",t.version,"| tfjs version:",t.tf.version["tfjs-core"]),s("platform:",t.env.platform,"| agent:",t.env.agent),r("loading..."),await t.load(),s("backend:",t.tf.getBackend(),"| available:",t.env.backends),s("loaded models:",Object.values(t.models).filter(a=>a!==null).length),r("initializing..."),await t.warmup(),await h(),await c(),await l()}window.onload=y;
/** /**
* Human demo for browsers * Human demo for browsers
* @default Human Library * @default Human Library

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demo/typescript/index.js.map
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demo/typescript/index.ts
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@ -14,11 +14,11 @@ const humanConfig: Partial<Config> = { // user configuration for human, used to
// async: true, // async: true,
modelBasePath: '../../models', modelBasePath: '../../models',
filter: { enabled: true, equalization: false }, filter: { enabled: true, equalization: false },
cacheSensitivity: 0, // cacheSensitivity: 0,
face: { enabled: true, detector: { rotation: false }, mesh: { enabled: true }, attention: { enabled: false }, iris: { enabled: true }, description: { enabled: true }, emotion: { enabled: true } }, face: { enabled: true, detector: { rotation: false }, mesh: { enabled: true }, attention: { enabled: false }, iris: { enabled: true }, description: { enabled: true }, emotion: { enabled: true } },
body: { enabled: true }, body: { enabled: true },
hand: { enabled: true }, hand: { enabled: true },
object: { enabled: true }, object: { enabled: false },
gesture: { enabled: true }, gesture: { enabled: true },
}; };

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dist/human.esm.js vendored
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@ -51038,6 +51038,44 @@ async function runInference(instance) {
res = await warmupNode(instance); res = await warmupNode(instance);
return res; return res;
} }
async function runCompile(allModels) {
const backendType = tpe();
const webGLBackend = UA();
if (backendType !== "webgl" && backendType !== "humangl" || (!webGLBackend || !webGLBackend.checkCompileCompletion)) {
return;
}
X().set("ENGINE_COMPILE_ONLY", true);
const numTensorsStart = Ss().state.numTensors;
const compiledModels = [];
for (const [modelName, model18] of Object.entries(allModels).filter(([key, val]) => key !== null && val !== null)) {
const shape = model18.inputs && model18.inputs[0] && model18.inputs[0].shape ? [...model18.inputs[0].shape] : [1, 64, 64, 3];
const dtype = model18.inputs && model18.inputs[0] && model18.inputs[0].dtype ? model18.inputs[0].dtype : "float32";
for (let dim = 0; dim < shape.length; dim++) {
if (shape[dim] === -1)
shape[dim] = dim === 0 ? 1 : 64;
}
const tensor = $t(shape, dtype);
try {
const res = model18.execute(tensor);
compiledModels.push(modelName);
if (Array.isArray(res))
res.forEach((t) => Re(t));
else
Re(res);
} catch (e) {
log("compile fail model:", modelName);
}
Re(tensor);
}
const kernels = await webGLBackend.checkCompileCompletionAsync();
webGLBackend.getUniformLocations();
log("compile pass models:", compiledModels);
log("compile pass kernels:", kernels.length);
X().set("ENGINE_COMPILE_ONLY", false);
const numTensorsEnd = Ss().state.numTensors;
if (numTensorsEnd - numTensorsStart > 0)
log("tensor leak:", numTensorsEnd - numTensorsStart);
}
async function warmup(instance, userConfig) { async function warmup(instance, userConfig) {
const t02 = now(); const t02 = now();
instance.state = "warmup"; instance.state = "warmup";
@ -51047,6 +51085,7 @@ async function warmup(instance, userConfig) {
return { face: [], body: [], hand: [], gesture: [], object: [], performance: instance.performance, timestamp: now(), persons: [], error: null }; return { face: [], body: [], hand: [], gesture: [], object: [], performance: instance.performance, timestamp: now(), persons: [], error: null };
} }
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
await runCompile(instance.models);
const res = await runInference(instance); const res = await runInference(instance);
const t12 = now(); const t12 = now();
if (instance.config.debug) if (instance.config.debug)

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dist/human.js vendored
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dist/human.node-gpu.js vendored
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2
dist/tfjs.version.js vendored
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@ -4,4 +4,4 @@
author: <https://github.com/vladmandic>' author: <https://github.com/vladmandic>'
*/ */
var e="3.15.0";var s="3.15.0";var t="3.15.0";var r="3.15.0";var l="3.15.0";var i="3.15.0";var a="3.15.0";var n="3.15.0";var G={tfjs:e,"tfjs-core":s,"tfjs-data":t,"tfjs-layers":r,"tfjs-converter":l,"tfjs-backend-cpu":i,"tfjs-backend-webgl":a,"tfjs-backend-wasm":n};export{G as version}; var e="3.15.0";var s="3.15.0";var t="3.15.0";var r="3.15.0";var l="3.15.0";var i="3.15.0";var a="3.15.0";var V={tfjs:e,"tfjs-core":s,"tfjs-data":t,"tfjs-layers":r,"tfjs-converter":l,"tfjs-backend-webgl":i,"tfjs-backend-wasm":a};export{V as version};

4
package.json
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@ -53,7 +53,7 @@
"tensorflow" "tensorflow"
], ],
"devDependencies": { "devDependencies": {
"@microsoft/api-extractor": "^7.22.1", "@microsoft/api-extractor": "^7.22.2",
"@tensorflow/tfjs": "^3.15.0", "@tensorflow/tfjs": "^3.15.0",
"@tensorflow/tfjs-backend-cpu": "^3.15.0", "@tensorflow/tfjs-backend-cpu": "^3.15.0",
"@tensorflow/tfjs-backend-wasm": "^3.15.0", "@tensorflow/tfjs-backend-wasm": "^3.15.0",
@ -73,7 +73,7 @@
"@vladmandic/pilogger": "^0.4.4", "@vladmandic/pilogger": "^0.4.4",
"@vladmandic/tfjs": "github:vladmandic/tfjs", "@vladmandic/tfjs": "github:vladmandic/tfjs",
"canvas": "^2.9.1", "canvas": "^2.9.1",
"dayjs": "^1.11.0", "dayjs": "^1.11.1",
"esbuild": "^0.14.36", "esbuild": "^0.14.36",
"eslint": "8.13.0", "eslint": "8.13.0",
"eslint-config-airbnb-base": "^15.0.0", "eslint-config-airbnb-base": "^15.0.0",

25
src/warmup.ts
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@ -10,7 +10,7 @@ import { env } from './util/env';
import type { Config } from './config'; import type { Config } from './config';
import type { Result } from './result'; import type { Result } from './result';
import type { Human, Models } from './human'; import type { Human, Models } from './human';
import type { Tensor, GraphModel } from './tfjs/types'; import type { Tensor } from './tfjs/types';
async function warmupBitmap(instance: Human): Promise<Result | undefined> { async function warmupBitmap(instance: Human): Promise<Result | undefined> {
const b64toBlob = (base64: string, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob()); const b64toBlob = (base64: string, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());
@ -112,26 +112,33 @@ export async function runCompile(allModels: Models) {
const backendType = tf.getBackend(); const backendType = tf.getBackend();
const webGLBackend = tf.backend(); const webGLBackend = tf.backend();
if ((backendType !== 'webgl' && backendType !== 'humangl') || (!webGLBackend || !webGLBackend.checkCompileCompletion)) { if ((backendType !== 'webgl' && backendType !== 'humangl') || (!webGLBackend || !webGLBackend.checkCompileCompletion)) {
log('compile pass: skip'); // log('compile pass: skip');
return; return;
} }
const models = Object.values(allModels).filter((m) => m !== null) as GraphModel[];
tf.env().set('ENGINE_COMPILE_ONLY', true); tf.env().set('ENGINE_COMPILE_ONLY', true);
const numTensorsStart = tf.engine().state.numTensors; const numTensorsStart = tf.engine().state.numTensors;
for (const model of models) { const compiledModels: string[] = [];
for (const [modelName, model] of Object.entries(allModels).filter(([key, val]) => (key !== null && val !== null))) {
const shape = (model.inputs && model.inputs[0] && model.inputs[0].shape) ? [...model.inputs[0].shape] : [1, 64, 64, 3]; const shape = (model.inputs && model.inputs[0] && model.inputs[0].shape) ? [...model.inputs[0].shape] : [1, 64, 64, 3];
const dtype = (model.inputs && model.inputs[0] && model.inputs[0].dtype) ? model.inputs[0].dtype : 'float32'; const dtype = (model.inputs && model.inputs[0] && model.inputs[0].dtype) ? model.inputs[0].dtype : 'float32';
for (let dim = 0; dim < shape.length; dim++) { for (let dim = 0; dim < shape.length; dim++) {
if (shape[dim] === -1) shape[dim] = dim === 0 ? 1 : 64; // override batch number and any dynamic dimensions if (shape[dim] === -1) shape[dim] = dim === 0 ? 1 : 64; // override batch number and any dynamic dimensions
} }
const tensor = tf.zeros(shape, dtype); const tensor = tf.zeros(shape, dtype);
const res = await model.executeAsync(tensor); // const res = await model.executeAsync(tensor); // fails with current tfjs
if (Array.isArray(res)) res.forEach((t) => tf.dispose(t)); try {
else tf.dispose(res); const res = model.execute(tensor);
compiledModels.push(modelName);
if (Array.isArray(res)) res.forEach((t) => tf.dispose(t));
else tf.dispose(res);
} catch {
log('compile fail model:', modelName);
}
tf.dispose(tensor); tf.dispose(tensor);
} }
const kernels = await webGLBackend.checkCompileCompletionAsync(); const kernels = await webGLBackend.checkCompileCompletionAsync();
webGLBackend.getUniformLocations(); webGLBackend.getUniformLocations();
log('compile pass models:', compiledModels);
log('compile pass kernels:', kernels.length); log('compile pass kernels:', kernels.length);
tf.env().set('ENGINE_COMPILE_ONLY', false); tf.env().set('ENGINE_COMPILE_ONLY', false);
const numTensorsEnd = tf.engine().state.numTensors; const numTensorsEnd = tf.engine().state.numTensors;
@ -140,7 +147,7 @@ export async function runCompile(allModels: Models) {
/** Warmup method pre-initializes all configured models for faster inference /** Warmup method pre-initializes all configured models for faster inference
* - can take significant time on startup * - can take significant time on startup
* - only used for `webgl` and `humangl` backends * - only used in browser environments for `webgl` and `humangl` backends
* @param userConfig?: Config * @param userConfig?: Config
*/ */
export async function warmup(instance: Human, userConfig?: Partial<Config>): Promise<Result | undefined> { export async function warmup(instance: Human, userConfig?: Partial<Config>): Promise<Result | undefined> {
@ -151,7 +158,7 @@ export async function warmup(instance: Human, userConfig?: Partial<Config>): Pro
return { face: [], body: [], hand: [], gesture: [], object: [], performance: instance.performance, timestamp: now(), persons: [], error: null }; return { face: [], body: [], hand: [], gesture: [], object: [], performance: instance.performance, timestamp: now(), persons: [], error: null };
} }
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
// await runCompile(instance.models); await runCompile(instance.models);
const res = await runInference(instance); const res = await runInference(instance);
const t1 = now(); const t1 = now();
if (instance.config.debug) log('warmup', instance.config.warmup, Math.round(t1 - t0), 'ms'); if (instance.config.debug) log('warmup', instance.config.warmup, Math.round(t1 - t0), 'ms');

48
test/build.log
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@ -1,24 +1,24 @@
2022-04-14 11:54:20 INFO:  Application: {"name":"@vladmandic/human","version":"2.7.0"} 2022-04-15 07:53:06 INFO:  Application: {"name":"@vladmandic/human","version":"2.7.0"}
2022-04-14 11:54:20 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 2022-04-15 07:53:06 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
2022-04-14 11:54:20 INFO:  Toolchain: {"build":"0.7.2","esbuild":"0.14.36","typescript":"4.6.3","typedoc":"0.22.15","eslint":"8.13.0"} 2022-04-15 07:53:06 INFO:  Toolchain: {"build":"0.7.2","esbuild":"0.14.36","typescript":"4.6.3","typedoc":"0.22.15","eslint":"8.13.0"}
2022-04-14 11:54:20 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 2022-04-15 07:53:06 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
2022-04-14 11:54:20 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]} 2022-04-15 07:53:06 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]}
2022-04-14 11:54:20 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":595} 2022-04-15 07:53:06 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":595}
2022-04-14 11:54:20 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":72,"inputBytes":572717,"outputBytes":295399} 2022-04-15 07:53:06 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":72,"inputBytes":573005,"outputBytes":296299}
2022-04-14 11:54:20 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":599} 2022-04-15 07:53:06 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":599}
2022-04-14 11:54:20 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":72,"inputBytes":572721,"outputBytes":295403} 2022-04-15 07:53:06 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":72,"inputBytes":573009,"outputBytes":296303}
2022-04-14 11:54:20 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":651} 2022-04-15 07:53:06 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":651}
2022-04-14 11:54:21 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":72,"inputBytes":572773,"outputBytes":295453} 2022-04-15 07:53:06 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":72,"inputBytes":573061,"outputBytes":296353}
2022-04-14 11:54:21 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1063,"outputBytes":394} 2022-04-15 07:53:06 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}
2022-04-14 11:54:21 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1068,"outputBytes":615} 2022-04-15 07:53:06 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}
2022-04-14 11:54:21 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":72,"inputBytes":572737,"outputBytes":294360} 2022-04-15 07:53:06 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":72,"inputBytes":572993,"outputBytes":295216}
2022-04-14 11:54:21 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1349864} 2022-04-15 07:53:06 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1349864}
2022-04-14 11:54:21 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":72,"inputBytes":1921986,"outputBytes":1643238} 2022-04-15 07:53:06 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":72,"inputBytes":1922274,"outputBytes":1644071}
2022-04-14 11:54:21 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":72,"inputBytes":1921986,"outputBytes":2123758} 2022-04-15 07:53:06 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":72,"inputBytes":1922274,"outputBytes":2125347}
2022-04-14 11:54:27 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":114} 2022-04-15 07:53:11 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":114}
2022-04-14 11:54:28 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":73,"generated":true} 2022-04-15 07:53:13 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":73,"generated":true}
2022-04-14 11:54:28 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":5916,"outputBytes":2957} 2022-04-15 07:53:13 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":5920,"outputBytes":2938}
2022-04-14 11:54:28 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15174,"outputBytes":7820} 2022-04-15 07:53:13 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15174,"outputBytes":7820}
2022-04-14 11:54:37 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":104,"errors":0,"warnings":0} 2022-04-15 07:53:21 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":104,"errors":0,"warnings":0}
2022-04-14 11:54:37 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 2022-04-15 07:53:21 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
2022-04-14 11:54:37 INFO:  Done... 2022-04-15 07:53:21 INFO:  Done...

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test/test.log
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4
tfjs/tf-version.ts
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@ -4,7 +4,7 @@ import { version as tfjsCoreVersion } from '@tensorflow/tfjs-core/package.json';
import { version as tfjsDataVersion } from '@tensorflow/tfjs-data/package.json'; import { version as tfjsDataVersion } from '@tensorflow/tfjs-data/package.json';
import { version as tfjsLayersVersion } from '@tensorflow/tfjs-layers/package.json'; import { version as tfjsLayersVersion } from '@tensorflow/tfjs-layers/package.json';
import { version as tfjsConverterVersion } from '@tensorflow/tfjs-converter/package.json'; import { version as tfjsConverterVersion } from '@tensorflow/tfjs-converter/package.json';
import { version as tfjsBackendCPUVersion } from '@tensorflow/tfjs-backend-cpu/package.json'; // import { version as tfjsBackendCPUVersion } from '@tensorflow/tfjs-backend-cpu/package.json';
import { version as tfjsBackendWebGLVersion } from '@tensorflow/tfjs-backend-webgl/package.json'; import { version as tfjsBackendWebGLVersion } from '@tensorflow/tfjs-backend-webgl/package.json';
import { version as tfjsBackendWASMVersion } from '@tensorflow/tfjs-backend-wasm/package.json'; import { version as tfjsBackendWASMVersion } from '@tensorflow/tfjs-backend-wasm/package.json';
@ -14,7 +14,7 @@ export const version = {
'tfjs-data': tfjsDataVersion, 'tfjs-data': tfjsDataVersion,
'tfjs-layers': tfjsLayersVersion, 'tfjs-layers': tfjsLayersVersion,
'tfjs-converter': tfjsConverterVersion, 'tfjs-converter': tfjsConverterVersion,
'tfjs-backend-cpu': tfjsBackendCPUVersion, // 'tfjs-backend-cpu': tfjsBackendCPUVersion,
'tfjs-backend-webgl': tfjsBackendWebGLVersion, 'tfjs-backend-webgl': tfjsBackendWebGLVersion,
'tfjs-backend-wasm': tfjsBackendWASMVersion, 'tfjs-backend-wasm': tfjsBackendWASMVersion,
}; };