mirror of https://github.com/vladmandic/human
update profiling methods
Vladimir Mandic
parent
faa9615d3a
commit
321f962894
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@ -9,7 +9,7 @@
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## Changelog
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### **HEAD -> main** 2022/07/26 mandic00@live.com
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### **HEAD -> main** 2022/07/29 mandic00@live.com
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### **release: 2.9.1** 2022/07/25 mandic00@live.com
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@ -25,6 +25,6 @@
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<video id="video" playsinline style="display: none"></video>
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<pre id="status" style="position: absolute; top: 12px; right: 20px; background-color: grey; padding: 8px; box-shadow: 2px 2px black"></pre>
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<pre id="log" style="padding: 8px"></pre>
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<div id="performance" style="position: absolute; bottom: 1rem; width: 100%; padding: 8px; font-size: 0.8rem;"></div>
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<div id="performance" style="position: absolute; bottom: 0; width: 100%; padding: 8px; font-size: 0.8rem;"></div>
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</body>
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</html>
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@ -4,6 +4,6 @@
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author: <https://github.com/vladmandic>'
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*/
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import{Human as p}from"../../dist/human.esm.js";var w={async:!0,modelBasePath:"../../models",filter:{enabled:!0,equalization:!1,flip:!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")},o={detect:0,draw:0,tensors:0},d={detect:0,draw:0},s=(...a)=>{e.log.innerText+=a.join(" ")+`
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`,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},height:{ideal:document.body.clientHeight}}},n=await navigator.mediaDevices.getUserMedia(a),m=new Promise(u=>{e.video.onloadeddata=()=>u(!0)});e.video.srcObject=n,e.video.play(),await m,e.canvas.width=e.video.videoWidth,e.canvas.height=e.video.videoHeight;let i=n.getVideoTracks()[0],f=i.getCapabilities?i.getCapabilities():"",v=i.getSettings?i.getSettings():"",g=i.getConstraints?i.getConstraints():"";s("video:",e.video.videoWidth,e.video.videoHeight,i.label,{stream:n,track:i,settings:v,constraints:g,capabilities:f}),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-o.tensors!==0&&s("allocated tensors:",n-o.tensors),o.tensors=n}let a=t.now();d.detect=1e3/(a-o.detect),o.detect=a,requestAnimationFrame(c)}async function l(){if(!e.video.paused){let n=await t.next(t.result);t.config.filter.flip?await t.draw.canvas(n.canvas,e.canvas):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-o.draw),o.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("models stats:",t.getModelStats()),s("models loaded:",Object.values(t.models).filter(a=>a!==null).length),r("initializing..."),await t.warmup(),await h(),await c(),await l()}window.onload=y;
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import{Human as p}from"../../dist/human.esm.js";var w={async:!0,modelBasePath:"../../models",filter:{enabled:!0,equalization:!1,flip:!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}},e=new p(w);e.env.perfadd=!1;e.draw.options.font='small-caps 18px "Lato"';e.draw.options.lineHeight=20;var t={video:document.getElementById("video"),canvas:document.getElementById("canvas"),log:document.getElementById("log"),fps:document.getElementById("status"),perf:document.getElementById("performance")},n={detect:0,draw:0,tensors:0,start:0},o={detectFPS:0,drawFPS:0,frames:0,averageMs:0},i=(...a)=>{t.log.innerText+=a.join(" ")+`
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`,console.log(...a)},r=a=>t.fps.innerText=a,b=a=>t.perf.innerText="tensors:"+e.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},height:{ideal:document.body.clientHeight}}},d=await navigator.mediaDevices.getUserMedia(a),m=new Promise(u=>{t.video.onloadeddata=()=>u(!0)});t.video.srcObject=d,t.video.play(),await m,t.canvas.width=t.video.videoWidth,t.canvas.height=t.video.videoHeight;let s=d.getVideoTracks()[0],f=s.getCapabilities?s.getCapabilities():"",v=s.getSettings?s.getSettings():"",g=s.getConstraints?s.getConstraints():"";i("video:",t.video.videoWidth,t.video.videoHeight,s.label,{stream:d,track:s,settings:v,constraints:g,capabilities:f}),t.canvas.onclick=()=>{t.video.paused?t.video.play():t.video.pause()}}async function c(){if(!t.video.paused){n.start===0&&(n.start=e.now()),await e.detect(t.video);let a=e.tf.memory().numTensors;a-n.tensors!==0&&i("allocated tensors:",a-n.tensors),n.tensors=a,o.detectFPS=Math.round(1e3*1e3/(e.now()-n.detect))/1e3,o.frames++,o.averageMs=Math.round(1e3*(e.now()-n.start)/o.frames)/1e3,o.frames%100===0&&!t.video.paused&&i("performance",{...o,tensors:n.tensors})}n.detect=e.now(),requestAnimationFrame(c)}async function l(){if(!t.video.paused){let d=await e.next(e.result);e.config.filter.flip?await e.draw.canvas(d.canvas,t.canvas):await e.draw.canvas(t.video,t.canvas),await e.draw.all(t.canvas,d),b(d.performance)}let a=e.now();o.drawFPS=Math.round(1e3*1e3/(a-n.draw))/1e3,n.draw=a,r(t.video.paused?"paused":`fps: ${o.detectFPS.toFixed(1).padStart(5," ")} detect | ${o.drawFPS.toFixed(1).padStart(5," ")} draw`),setTimeout(l,30)}async function M(){i("human version:",e.version,"| tfjs version:",e.tf.version["tfjs-core"]),i("platform:",e.env.platform,"| agent:",e.env.agent),r("loading..."),await e.load(),i("backend:",e.tf.getBackend(),"| available:",e.env.backends),i("models stats:",e.getModelStats()),i("models loaded:",Object.values(e.models).filter(a=>a!==null).length),r("initializing..."),await e.warmup(),await h(),await c(),await l()}window.onload=M;
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//# sourceMappingURL=index.js.map
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File diff suppressed because one or more lines are too long
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@ -37,8 +37,8 @@ const dom = { // grab instances of dom objects so we dont have to look them up l
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fps: document.getElementById('status') as HTMLPreElement,
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perf: document.getElementById('performance') as HTMLDivElement,
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};
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const timestamp = { detect: 0, draw: 0, tensors: 0 }; // holds information used to calculate performance and possible memory leaks
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const fps = { detect: 0, draw: 0 }; // holds calculated fps information for both detect and screen refresh
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const timestamp = { detect: 0, draw: 0, tensors: 0, start: 0 }; // holds information used to calculate performance and possible memory leaks
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const fps = { detectFPS: 0, drawFPS: 0, frames: 0, averageMs: 0 }; // holds calculated fps information for both detect and screen refresh
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const log = (...msg) => { // helper method to output messages
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dom.log.innerText += msg.join(' ') + '\n';
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@ -72,15 +72,18 @@ async function webCam() { // initialize webcam
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async function detectionLoop() { // main detection loop
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if (!dom.video.paused) {
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// console.log('profiling data:', await human.profile(dom.video));
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if (timestamp.start === 0) timestamp.start = human.now();
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// log('profiling data:', await human.profile(dom.video));
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await human.detect(dom.video); // actual detection; were not capturing output in a local variable as it can also be reached via human.result
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const tensors = human.tf.memory().numTensors; // check current tensor usage for memory leaks
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if (tensors - timestamp.tensors !== 0) log('allocated tensors:', tensors - timestamp.tensors); // printed on start and each time there is a tensor leak
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timestamp.tensors = tensors;
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fps.detectFPS = Math.round(1000 * 1000 / (human.now() - timestamp.detect)) / 1000;
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fps.frames++;
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fps.averageMs = Math.round(1000 * (human.now() - timestamp.start) / fps.frames) / 1000;
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if (fps.frames % 100 === 0 && !dom.video.paused) log('performance', { ...fps, tensors: timestamp.tensors });
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}
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const now = human.now();
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fps.detect = 1000 / (now - timestamp.detect);
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timestamp.detect = now;
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timestamp.detect = human.now();
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requestAnimationFrame(detectionLoop); // start new frame immediately
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}
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@ -93,9 +96,9 @@ async function drawLoop() { // main screen refresh loop
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perf(interpolated.performance); // write performance data
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}
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const now = human.now();
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fps.draw = 1000 / (now - timestamp.draw);
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fps.drawFPS = Math.round(1000 * 1000 / (now - timestamp.draw)) / 1000;
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timestamp.draw = now;
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status(dom.video.paused ? 'paused' : `fps: ${fps.detect.toFixed(1).padStart(5, ' ')} detect | ${fps.draw.toFixed(1).padStart(5, ' ')} draw`); // write status
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status(dom.video.paused ? 'paused' : `fps: ${fps.detectFPS.toFixed(1).padStart(5, ' ')} detect | ${fps.drawFPS.toFixed(1).padStart(5, ' ')} draw`); // write status
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// requestAnimationFrame(drawLoop); // refresh at screen refresh rate
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setTimeout(drawLoop, 30); // use to slow down refresh from max refresh rate to target of 30 fps
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}
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17
package.json
17
package.json
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@ -55,11 +55,11 @@
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],
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"optionalDependencies": {
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"canvas": "^2.9.3",
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"node-fetch": "^3.2.9",
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"node-fetch": "^3.2.10",
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"node-webcam": "^0.8.1"
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},
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"devDependencies": {
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"@microsoft/api-extractor": "^7.28.6",
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"@microsoft/api-extractor": "^7.29.0",
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"@tensorflow/tfjs": "^3.19.0",
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"@tensorflow/tfjs-backend-cpu": "^3.19.0",
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"@tensorflow/tfjs-backend-wasm": "^3.19.0",
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"@tensorflow/tfjs-node": "^3.19.0",
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"@tensorflow/tfjs-node-gpu": "^3.19.0",
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"@tensorflow/tfjs-tflite": "0.0.1-alpha.8",
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"@types/node": "^18.6.2",
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"@types/node": "^18.6.3",
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"@types/offscreencanvas": "^2019.7.0",
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"@typescript-eslint/eslint-plugin": "^5.31.0",
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"@typescript-eslint/parser": "^5.31.0",
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"@typescript-eslint/eslint-plugin": "^5.32.0",
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"@typescript-eslint/parser": "^5.32.0",
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"@vladmandic/build": "^0.7.8",
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"@vladmandic/pilogger": "^0.4.5",
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"@vladmandic/tfjs": "github:vladmandic/tfjs",
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"esbuild": "^0.14.51",
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"eslint": "8.20.0",
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"@webgpu/types": "^0.1.21",
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"esbuild": "^0.14.53",
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"eslint": "8.21.0",
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"eslint-config-airbnb-base": "^15.0.0",
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"eslint-plugin-html": "^7.1.0",
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"eslint-plugin-import": "^2.26.0",
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@ -90,7 +91,7 @@
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"rimraf": "^3.0.2",
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"seedrandom": "^3.0.5",
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"tslib": "^2.4.0",
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"typedoc": "0.23.9",
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"typedoc": "0.23.10",
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"typescript": "4.7.4"
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}
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}
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18
src/human.ts
18
src/human.ts
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@ -350,20 +350,24 @@ export class Human {
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* - result object will contain total exeuction time information for top-20 kernels
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* - actual detection object can be accessed via `human.result`
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*/
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async profile(input: Input, userConfig?: Partial<Config>): Promise<Record<string, number>> {
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async profile(input: Input, userConfig?: Partial<Config>): Promise<Array<{ kernel: string, time: number, perc: number }>> {
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const profile = await this.tf.profile(() => this.detect(input, userConfig));
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const kernels: Record<string, number> = {};
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let total = 0;
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for (const kernel of profile.kernels) { // sum kernel time values per kernel
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if (kernels[kernel.name]) kernels[kernel.name] += kernel.kernelTimeMs;
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else kernels[kernel.name] = kernel.kernelTimeMs;
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total += kernel.kernelTimeMs;
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}
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const kernelArr: Array<{ name: string, ms: number }> = [];
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Object.entries(kernels).forEach((key) => kernelArr.push({ name: key[0], ms: key[1] as unknown as number })); // convert to array
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kernelArr.sort((a, b) => b.ms - a.ms); // sort
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const kernelArr: Array<{ kernel: string, time: number, perc: number }> = [];
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Object.entries(kernels).forEach((key) => kernelArr.push({ kernel: key[0], time: key[1] as unknown as number, perc: 0 })); // convert to array
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for (const kernel of kernelArr) {
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kernel.perc = Math.round(1000 * kernel.time / total) / 1000;
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kernel.time = Math.round(1000 * kernel.time) / 1000;
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}
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kernelArr.sort((a, b) => b.time - a.time); // sort
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kernelArr.length = 20; // crop
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const res: Record<string, number> = {};
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for (const kernel of kernelArr) res[kernel.name] = kernel.ms; // create perf objects
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return res;
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return kernelArr;
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}
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/** Main detection method
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@ -86,9 +86,7 @@ export async function check(instance: Human, force = false) {
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// customize wasm
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if (instance.config.backend === 'wasm') {
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try {
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tf.env().set('CANVAS2D_WILL_READ_FREQUENTLY', true);
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} catch { /**/ }
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if (tf.env().flagRegistry['CANVAS2D_WILL_READ_FREQUENTLY']) tf.env().set('CANVAS2D_WILL_READ_FREQUENTLY', true);
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if (instance.config.debug) log('wasm path:', instance.config.wasmPath);
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if (typeof tf?.setWasmPaths !== 'undefined') await tf.setWasmPaths(instance.config.wasmPath, instance.config.wasmPlatformFetch);
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else throw new Error('backend error: attempting to use wasm backend but wasm path is not set');
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// customize humangl
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if (tf.getBackend() === 'humangl') {
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tf.ENV.set('CHECK_COMPUTATION_FOR_ERRORS', false);
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tf.ENV.set('WEBGL_CPU_FORWARD', true);
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// tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', false);
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tf.ENV.set('WEBGL_USE_SHAPES_UNIFORMS', true);
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tf.ENV.set('CPU_HANDOFF_SIZE_THRESHOLD', 256);
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// if (!instance.config.object.enabled) tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true); // safe to use 16bit precision
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if (tf.env().flagRegistry['CHECK_COMPUTATION_FOR_ERRORS']) tf.env().set('CHECK_COMPUTATION_FOR_ERRORS', false);
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if (tf.env().flagRegistry['WEBGL_CPU_FORWARD']) tf.env().set('WEBGL_CPU_FORWARD', true);
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if (tf.env().flagRegistry['WEBGL_USE_SHAPES_UNIFORMS']) tf.env().set('WEBGL_USE_SHAPES_UNIFORMS', true);
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if (tf.env().flagRegistry['CPU_HANDOFF_SIZE_THRESHOLD']) tf.env().set('CPU_HANDOFF_SIZE_THRESHOLD', 256);
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if (tf.env().flagRegistry['WEBGL_EXP_CONV']) tf.env().set('WEBGL_EXP_CONV', true); // <https://github.com/tensorflow/tfjs/issues/6678>
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if (tf.env().flagRegistry['USE_SETTIMEOUTWPM']) tf.env().set('USE_SETTIMEOUTWPM', true); // <https://github.com/tensorflow/tfjs/issues/6687>
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// if (tf.env().flagRegistry['WEBGL_PACK_DEPTHWISECONV']) tf.env().set('WEBGL_PACK_DEPTHWISECONV', false);
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// if (if (tf.env().flagRegistry['WEBGL_FORCE_F16_TEXTURES']) && !instance.config.object.enabled) tf.env().set('WEBGL_FORCE_F16_TEXTURES', true); // safe to use 16bit precision
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if (typeof instance.config['deallocate'] !== 'undefined' && instance.config['deallocate']) { // hidden param
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log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', true);
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tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', 0);
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tf.env().set('WEBGL_DELETE_TEXTURE_THRESHOLD', 0);
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}
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if (tf.backend().getGPGPUContext) {
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const gl = await tf.backend().getGPGPUContext().gl;
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// customize webgpu
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if (tf.getBackend() === 'webgpu') {
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// tf.ENV.set('WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD', 512);
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// tf.ENV.set('WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE', 0);
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// tf.ENV.set('WEBGPU_CPU_FORWARD', true);
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// if (tf.env().flagRegistry['WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD']) tf.env().set('WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD', 512);
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// if (tf.env().flagRegistry['WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE']) tf.env().set('WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE', 0);
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// if (tf.env().flagRegistry['WEBGPU_CPU_FORWARD']) tf.env().set('WEBGPU_CPU_FORWARD', true);
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}
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// wait for ready
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@ -123,7 +123,7 @@ export async function register(instance: Human): Promise<void> {
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return;
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}
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try {
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tf.ENV.set('WEBGL_VERSION', 2);
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if (tf.env().flagRegistry['WEBGL_VERSION']) tf.env().set('WEBGL_VERSION', 2);
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} catch (err) {
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log('error: cannot set WebGL backend flags:', err);
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return;
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@ -109,6 +109,7 @@ async function runInference(instance: Human) {
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/** Runs pre-compile on all loaded models */
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export async function runCompile(allModels: Models) {
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if (!tf.env().flagRegistry['ENGINE_COMPILE_ONLY']) return; // tfjs does not support compile-only inference
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const backendType = tf.getBackend();
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const webGLBackend = tf.backend();
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if ((backendType !== 'webgl' && backendType !== 'humangl') || (!webGLBackend || !webGLBackend.checkCompileCompletion)) {
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@ -1,24 +1,24 @@
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2022-07-29 09:21:22 [36mINFO: [39m Application: {"name":"@vladmandic/human","version":"2.9.1"}
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2022-07-29 09:21:22 [36mINFO: [39m Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
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2022-07-29 09:21:22 [36mINFO: [39m Toolchain: {"build":"0.7.8","esbuild":"0.14.51","typescript":"4.7.4","typedoc":"0.23.9","eslint":"8.20.0"}
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2022-07-29 09:21:22 [36mINFO: [39m Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
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2022-07-29 09:21:22 [35mSTATE:[39m Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m 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}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":74,"inputBytes":647939,"outputBytes":303804}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m 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}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":74,"inputBytes":647943,"outputBytes":303808}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m 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}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":74,"inputBytes":647995,"outputBytes":303858}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m 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}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m 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}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":74,"inputBytes":647914,"outputBytes":302683}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m 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}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":74,"inputBytes":3434900,"outputBytes":1665591}
|
||||
2022-07-29 09:21:22 [35mSTATE:[39m Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":74,"inputBytes":3434900,"outputBytes":3066202}
|
||||
2022-07-29 09:21:29 [35mSTATE:[39m Typings: {"input":"src/human.ts","output":"types/lib","files":30}
|
||||
2022-07-29 09:21:31 [35mSTATE:[39m TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":76,"generated":true}
|
||||
2022-07-29 09:21:31 [35mSTATE:[39m Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6414,"outputBytes":2878}
|
||||
2022-07-29 09:21:31 [35mSTATE:[39m Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15174,"outputBytes":7604}
|
||||
2022-07-29 09:21:40 [35mSTATE:[39m Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":107,"errors":0,"warnings":0}
|
||||
2022-07-29 09:21:40 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
|
||||
2022-07-29 09:21:40 [36mINFO: [39m Done...
|
||||
2022-08-04 09:11:15 [36mINFO: [39m Application: {"name":"@vladmandic/human","version":"2.9.1"}
|
||||
2022-08-04 09:11:15 [36mINFO: [39m Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
|
||||
2022-08-04 09:11:15 [36mINFO: [39m Toolchain: {"build":"0.7.8","esbuild":"0.14.53","typescript":"4.7.4","typedoc":"0.23.10","eslint":"8.21.0"}
|
||||
2022-08-04 09:11:15 [36mINFO: [39m Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m 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}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":74,"inputBytes":649269,"outputBytes":304361}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m 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}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":74,"inputBytes":649273,"outputBytes":304365}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m 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}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":74,"inputBytes":649325,"outputBytes":304415}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m 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}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m 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}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":74,"inputBytes":649244,"outputBytes":303238}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m 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}
|
||||
2022-08-04 09:11:15 [35mSTATE:[39m Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":74,"inputBytes":3436230,"outputBytes":1666096}
|
||||
2022-08-04 09:11:16 [35mSTATE:[39m Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":74,"inputBytes":3436230,"outputBytes":3066923}
|
||||
2022-08-04 09:11:22 [35mSTATE:[39m Typings: {"input":"src/human.ts","output":"types/lib","files":30}
|
||||
2022-08-04 09:11:25 [35mSTATE:[39m TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":76,"generated":true}
|
||||
2022-08-04 09:11:25 [35mSTATE:[39m Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6787,"outputBytes":3141}
|
||||
2022-08-04 09:11:25 [35mSTATE:[39m Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15174,"outputBytes":7604}
|
||||
2022-08-04 09:11:35 [35mSTATE:[39m Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":107,"errors":0,"warnings":0}
|
||||
2022-08-04 09:11:35 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
|
||||
2022-08-04 09:11:35 [36mINFO: [39m Done...
|
||||
|
|
|
|||
1368
test/test.log
1368
test/test.log
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Reference in New Issue