add movenet-multipose workaround

CHANGELOG.md

@@ -9,7 +9,7 @@
   
 ## Changelog
   
-### **HEAD -> main** 2023/02/10 mandic00@live.com
+### **HEAD -> main** 2023/02/13 mandic00@live.com
 
 - add face.detector.minsize configurable setting
 - add affectnet

TODO.md

@@ -2,21 +2,6 @@
 
 ## Work-in-Progress
 
-
-<hr><br>
-
-## Exploring
-
-- **Optical flow** for intelligent temporal interpolation  
-  <https://docs.opencv.org/3.3.1/db/d7f/tutorial_js_lucas_kanade.html>
-- **CLAHE** advanced histogram equalization for optimization of badly lit scenes  
-- **TFLite** models  
-  <https://js.tensorflow.org/api_tflite/0.0.1-alpha.4/>
-- **Principal Components Analysis** for reduction of descriptor complexity  
-  <https://github.com/vladmandic/human-match/blob/main/src/pca.js>  
-- **Temporal guidance** for face/body segmentation  
-  <https://github.com/PeterL1n/RobustVideoMatting>
-
 <hr><br>
 
 ## Known Issues & Limitations
@@ -31,6 +16,10 @@ No issues with default model `FaceMesh`
 `NanoDet` model is not supported when using `WASM` backend due to missing kernel op in **TFJS**  
 No issues with default model `MB3-CenterNet`  
 
+## Body Detection using MoveNet-MultiPose
+
+Model does not return valid detection scores (all other functionality is not impacted)  
+
 ### WebGPU
 
 Experimental support only until support is officially added in Chromium  
@@ -47,6 +36,10 @@ Enable via `about:config` -> `gfx.offscreencanvas.enabled`
 No support for running in **web workers** as Safari still does not support `OffscreenCanvas`  
 [Details](https://developer.mozilla.org/en-US/docs/Web/API/OffscreenCanvas#browser_compatibility)  
 
+## React-Native
+
+`Human` support for **React-Native** is best-effort, but not part of the main development focus  
+
 <hr><br>
 
 ## Pending Release Changes

demo/typescript/index.js

@@ -4,6 +4,6 @@
   author: <https://github.com/vladmandic>'
 */
 
-import*as m from"../../dist/human.esm.js";var v=1920,b={modelBasePath:"../../models",filter:{enabled:!0,equalization:!1,flip:!1},face:{enabled:!0,detector:{rotation:!0},mesh:{enabled:!0},attention:{enabled:!1},iris:{enabled:!0},description:{enabled:!0},emotion:{enabled:!0},antispoof:{enabled:!0},liveness:{enabled:!0}},body:{enabled:!0},hand:{enabled:!0},object:{enabled:!1},segmentation:{enabled:!1},gesture:{enabled:!0}},e=new m.Human(b);e.env.perfadd=!1;e.draw.options.font='small-caps 18px "Lato"';e.draw.options.lineHeight=20;e.draw.options.drawPoints=!0;var a={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},s={detectFPS:0,drawFPS:0,frames:0,averageMs:0},o=(...t)=>{a.log.innerText+=t.join(" ")+`
+import*as m from"../../dist/human.esm.js";var v=1920,b={modelBasePath:"../../models",cacheSensitivity:0,filter:{enabled:!0,equalization:!1,flip:!1},face:{enabled:!0,detector:{rotation:!0},mesh:{enabled:!0},attention:{enabled:!1},iris:{enabled:!0},description:{enabled:!0},emotion:{enabled:!0},antispoof:{enabled:!0},liveness:{enabled:!0}},body:{enabled:!0},hand:{enabled:!0},object:{enabled:!1},segmentation:{enabled:!1},gesture:{enabled:!0}},e=new m.Human(b);e.env.perfadd=!1;e.draw.options.font='small-caps 18px "Lato"';e.draw.options.lineHeight=20;e.draw.options.drawPoints=!0;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},s={detectFPS:0,drawFPS:0,frames:0,averageMs:0},o=(...a)=>{t.log.innerText+=a.join(" ")+`
-`,console.log(...t)},r=t=>a.fps.innerText=t,g=t=>a.perf.innerText="tensors:"+e.tf.memory().numTensors.toString()+" | performance: "+JSON.stringify(t).replace(/"|{|}/g,"").replace(/,/g," | ");async function f(){if(!a.video.paused){n.start===0&&(n.start=e.now()),await e.detect(a.video);let t=e.tf.memory().numTensors;t-n.tensors!==0&&o("allocated tensors:",t-n.tensors),n.tensors=t,s.detectFPS=Math.round(1e3*1e3/(e.now()-n.detect))/1e3,s.frames++,s.averageMs=Math.round(1e3*(e.now()-n.start)/s.frames)/1e3,s.frames%100===0&&!a.video.paused&&o("performance",{...s,tensors:n.tensors})}n.detect=e.now(),requestAnimationFrame(f)}async function u(){var d,i,c;if(!a.video.paused){let l=e.next(e.result),p=await e.image(a.video);e.draw.canvas(p.canvas,a.canvas);let w={bodyLabels:`person confidence [score] and ${(c=(i=(d=e.result)==null?void 0:d.body)==null?void 0:i[0])==null?void 0:c.keypoints.length} keypoints`};await e.draw.all(a.canvas,l,w),g(l.performance)}let t=e.now();s.drawFPS=Math.round(1e3*1e3/(t-n.draw))/1e3,n.draw=t,r(a.video.paused?"paused":`fps: ${s.detectFPS.toFixed(1).padStart(5," ")} detect | ${s.drawFPS.toFixed(1).padStart(5," ")} draw`),setTimeout(u,30)}async function y(){let d=(await e.webcam.enumerate())[0].deviceId;await e.webcam.start({element:a.video,crop:!1,width:v,id:d}),a.canvas.width=e.webcam.width,a.canvas.height=e.webcam.height,a.canvas.onclick=async()=>{e.webcam.paused?await e.webcam.play():e.webcam.pause()}}async function h(){o("human version:",e.version,"| tfjs version:",e.tf.version["tfjs-core"]),o("platform:",e.env.platform,"| agent:",e.env.agent),r("loading..."),await e.load(),o("backend:",e.tf.getBackend(),"| available:",e.env.backends),o("models stats:",e.models.stats()),o("models loaded:",e.models.loaded()),o("environment",e.env),r("initializing..."),await e.warmup(),await y(),await f(),await u()}window.onload=h;
+`,console.log(...a)},r=a=>t.fps.innerText=a,g=a=>t.perf.innerText="tensors:"+e.tf.memory().numTensors.toString()+" | performance: "+JSON.stringify(a).replace(/"|{|}/g,"").replace(/,/g," | ");async function f(){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&&o("allocated tensors:",a-n.tensors),n.tensors=a,s.detectFPS=Math.round(1e3*1e3/(e.now()-n.detect))/1e3,s.frames++,s.averageMs=Math.round(1e3*(e.now()-n.start)/s.frames)/1e3,s.frames%100===0&&!t.video.paused&&o("performance",{...s,tensors:n.tensors})}n.detect=e.now(),requestAnimationFrame(f)}async function u(){var d,i,c;if(!t.video.paused){let l=e.next(e.result),p=await e.image(t.video);e.draw.canvas(p.canvas,t.canvas);let w={bodyLabels:`person confidence [score] and ${(c=(i=(d=e.result)==null?void 0:d.body)==null?void 0:i[0])==null?void 0:c.keypoints.length} keypoints`};await e.draw.all(t.canvas,l,w),g(l.performance)}let a=e.now();s.drawFPS=Math.round(1e3*1e3/(a-n.draw))/1e3,n.draw=a,r(t.video.paused?"paused":`fps: ${s.detectFPS.toFixed(1).padStart(5," ")} detect | ${s.drawFPS.toFixed(1).padStart(5," ")} draw`),setTimeout(u,30)}async function y(){let d=(await e.webcam.enumerate())[0].deviceId;await e.webcam.start({element:t.video,crop:!1,width:v,id:d}),t.canvas.width=e.webcam.width,t.canvas.height=e.webcam.height,t.canvas.onclick=async()=>{e.webcam.paused?await e.webcam.play():e.webcam.pause()}}async function h(){o("human version:",e.version,"| tfjs version:",e.tf.version["tfjs-core"]),o("platform:",e.env.platform,"| agent:",e.env.agent),r("loading..."),await e.load(),o("backend:",e.tf.getBackend(),"| available:",e.env.backends),o("models stats:",e.models.stats()),o("models loaded:",e.models.loaded()),o("environment",e.env),r("initializing..."),await e.warmup(),await y(),await f(),await u()}window.onload=h;
 //# sourceMappingURL=index.js.map

demo/typescript/index.ts

@@ -14,13 +14,11 @@ const width = 1920; // used by webcam config as well as human maximum resultion
 const humanConfig: Partial<H.Config> = { // user configuration for human, used to fine-tune behavior
   // backend: 'webgpu',
   modelBasePath: '../../models',
+  cacheSensitivity: 0,
   filter: { enabled: true, equalization: false, flip: false },
   face: { enabled: true, detector: { rotation: true }, mesh: { enabled: true }, attention: { enabled: false }, iris: { enabled: true }, description: { enabled: true }, emotion: { enabled: true }, antispoof: { enabled: true }, liveness: { enabled: true } },
   body: { enabled: true },
   hand: { enabled: true },
-  // face: { enabled: true, mesh: { enabled: false } },
-  // body: { enabled: false },
-  // hand: { enabled: false },
   object: { enabled: false },
   segmentation: { enabled: false },
   gesture: { enabled: true },

dist/human.esm.js

@@ -44266,6 +44266,7 @@ function parseSinglePose(res, config3, image) {
   return bodies;
 }
 function parseMultiPose(res, config3, image) {
+  config3.body.minConfidence = -1;
   const bodies = [];
   for (let id2 = 0; id2 < res[0].length; id2++) {
     const kpt4 = res[0][id2];

src/body/movenet.ts

@@ -81,6 +81,7 @@ function parseSinglePose(res, config, image) {
 }
 
 function parseMultiPose(res, config, image) {
+  config.body.minConfidence = -1; // movenet-multipose return incorrect scores
   const bodies: BodyResult[] = [];
   for (let id = 0; id < res[0].length; id++) {
     const kpt = res[0][id];
@@ -135,39 +136,6 @@ export async function predict(input: Tensor, config: Config): Promise<BodyResult
   return new Promise(async (resolve) => {
     const t: Record<string, Tensor> = {};
     skipped = 0;
-    // run detection on squared input and cached boxes
-    /*
-    cache.bodies = []; // reset bodies result
-    if (cache.boxes.length >= (config.body.maxDetected || 0)) { // if we have enough cached boxes run detection using cache
-      for (let i = 0; i < cache.boxes.length; i++) { // run detection based on cached boxes
-        t.crop = tf.image.cropAndResize(input, [cache.boxes[i]], [0], [inputSize, inputSize], 'bilinear');
-        t.cast = tf.cast(t.crop, 'int32');
-        // t.input = prepareImage(input);
-        t.res = model?.execute(t.cast) as Tensor;
-        const res = await t.res.array();
-        const newBodies = (t.res.shape[2] === 17) ? await parseSinglePose(res, config, input, cache.boxes[i]) : await parseMultiPose(res, config, input, cache.boxes[i]);
-        cache.bodies = cache.bodies.concat(newBodies);
-        Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));
-      }
-    }
-    if (cache.bodies.length !== config.body.maxDetected) { // did not find enough bodies based on cached boxes so run detection on full frame
-      t.input = prepareImage(input);
-      t.res = model?.execute(t.input) as Tensor;
-      const res = await t.res.array();
-      cache.bodies = (t.res.shape[2] === 17) ? await parseSinglePose(res, config, input, [0, 0, 1, 1]) : await parseMultiPose(res, config, input, [0, 0, 1, 1]);
-      for (const body of cache.bodies) rescaleBody(body, [input.shape[2] || 1, input.shape[1] || 1]);
-      Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));
-    }
-    cache.boxes.length = 0; // reset cache
-    for (let i = 0; i < cache.bodies.length; i++) {
-      if (cache.bodies[i].keypoints.length > (coords.kpt.length / 2)) { // only update cache if we detected at least half keypoints
-        const scaledBox = box.scale(cache.bodies[i].boxRaw, boxExpandFact);
-        const cropBox = box.crop(scaledBox);
-        cache.boxes.push(cropBox);
-      }
-    }
-    */
-
     // run detection on squared input and no cached boxes
     t.input = fix.padInput(input, inputSize);
     t.res = model?.execute(t.input) as Tensor;

test/build.log

@@ -1,50 +1,50 @@
-2023-02-13 06:23:54 DATA:  Build {"name":"@vladmandic/human","version":"3.0.5"} 
+2023-02-13 10:14:55 DATA:  Build {"name":"@vladmandic/human","version":"3.0.5"} 
-2023-02-13 06:23:54 INFO:  Application: {"name":"@vladmandic/human","version":"3.0.5"} 
+2023-02-13 10:14:55 INFO:  Application: {"name":"@vladmandic/human","version":"3.0.5"} 
-2023-02-13 06:23:54 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 
+2023-02-13 10:14:55 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} 
-2023-02-13 06:23:54 INFO:  Toolchain: {"build":"0.8.2","esbuild":"0.17.8","typescript":"4.9.5","typedoc":"0.23.25","eslint":"8.34.0"} 
+2023-02-13 10:14:55 INFO:  Toolchain: {"build":"0.8.2","esbuild":"0.17.8","typescript":"4.9.5","typedoc":"0.23.25","eslint":"8.34.0"} 
-2023-02-13 06:23:54 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
+2023-02-13 10:14:55 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
-2023-02-13 06:23:54 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} 
+2023-02-13 10:14:55 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1289,"outputBytes":361} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1289,"outputBytes":361} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":569,"outputBytes":924} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":569,"outputBytes":924} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":80,"inputBytes":674249,"outputBytes":318951} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":80,"inputBytes":672409,"outputBytes":318975} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":577,"outputBytes":928} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":577,"outputBytes":928} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":80,"inputBytes":674253,"outputBytes":318955} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":80,"inputBytes":672413,"outputBytes":318979} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":665,"outputBytes":1876} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":665,"outputBytes":1876} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":80,"inputBytes":675201,"outputBytes":319066} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":80,"inputBytes":673361,"outputBytes":319090} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1375,"outputBytes":670} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1375,"outputBytes":670} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":80,"inputBytes":673995,"outputBytes":317523} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":80,"inputBytes":672155,"outputBytes":317547} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":10,"inputBytes":1375,"outputBytes":1151306} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":10,"inputBytes":1375,"outputBytes":1151306} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":80,"inputBytes":1824631,"outputBytes":1464766} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":80,"inputBytes":1822791,"outputBytes":1464790} 
-2023-02-13 06:23:54 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":80,"inputBytes":1824631,"outputBytes":1931691} 
+2023-02-13 10:14:55 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":80,"inputBytes":1822791,"outputBytes":1931726} 
-2023-02-13 06:23:58 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":15} 
+2023-02-13 10:15:00 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":15} 
-2023-02-13 06:24:01 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":81,"generated":true} 
+2023-02-13 10:15:02 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":81,"generated":true} 
-2023-02-13 06:24:01 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6235,"outputBytes":2901} 
+2023-02-13 10:15:02 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6140,"outputBytes":2920} 
-2023-02-13 06:24:01 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":17503,"outputBytes":9403} 
+2023-02-13 10:15:02 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":17503,"outputBytes":9403} 
-2023-02-13 06:24:11 STATE: Lint: {"locations":["**/*.json","src/**/*.ts","test/**/*.js","demo/**/*.js","**/*.md"],"files":170,"errors":0,"warnings":0} 
+2023-02-13 10:15:12 STATE: Lint: {"locations":["**/*.json","src/**/*.ts","test/**/*.js","demo/**/*.js","**/*.md"],"files":170,"errors":0,"warnings":0} 
-2023-02-13 06:24:11 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
+2023-02-13 10:15:12 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
-2023-02-13 06:24:11 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs-core.d.ts","output":"types/tfjs-core.d.ts"} 
+2023-02-13 10:15:12 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs-core.d.ts","output":"types/tfjs-core.d.ts"} 
-2023-02-13 06:24:11 INFO:  Done... 
+2023-02-13 10:15:12 INFO:  Done... 
-2023-02-13 06:24:11 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs.d.ts","output":"types/tfjs.esm.d.ts"} 
+2023-02-13 10:15:13 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs.d.ts","output":"types/tfjs.esm.d.ts"} 
-2023-02-13 06:24:11 STATE: Copy: {"input":"src/types/tsconfig.json","output":"types/tsconfig.json"} 
+2023-02-13 10:15:13 STATE: Copy: {"input":"src/types/tsconfig.json","output":"types/tsconfig.json"} 
-2023-02-13 06:24:11 STATE: Copy: {"input":"src/types/eslint.json","output":"types/.eslintrc.json"} 
+2023-02-13 10:15:13 STATE: Copy: {"input":"src/types/eslint.json","output":"types/.eslintrc.json"} 
-2023-02-13 06:24:11 STATE: Copy: {"input":"src/types/tfjs.esm.d.ts","output":"dist/tfjs.esm.d.ts"} 
+2023-02-13 10:15:13 STATE: Copy: {"input":"src/types/tfjs.esm.d.ts","output":"dist/tfjs.esm.d.ts"} 
-2023-02-13 06:24:11 STATE: Filter: {"input":"types/tfjs-core.d.ts"} 
+2023-02-13 10:15:13 STATE: Filter: {"input":"types/tfjs-core.d.ts"} 
-2023-02-13 06:24:12 STATE: API-Extractor: {"succeeeded":true,"errors":0,"warnings":210} 
+2023-02-13 10:15:14 STATE: API-Extractor: {"succeeeded":true,"errors":0,"warnings":210} 
-2023-02-13 06:24:12 STATE: Filter: {"input":"types/human.d.ts"} 
+2023-02-13 10:15:14 STATE: Filter: {"input":"types/human.d.ts"} 
-2023-02-13 06:24:12 STATE: Write: {"output":"dist/human.esm-nobundle.d.ts"} 
+2023-02-13 10:15:14 STATE: Write: {"output":"dist/human.esm-nobundle.d.ts"} 
-2023-02-13 06:24:12 STATE: Write: {"output":"dist/human.esm.d.ts"} 
+2023-02-13 10:15:14 STATE: Write: {"output":"dist/human.esm.d.ts"} 
-2023-02-13 06:24:12 STATE: Write: {"output":"dist/human.d.ts"} 
+2023-02-13 10:15:14 STATE: Write: {"output":"dist/human.d.ts"} 
-2023-02-13 06:24:12 STATE: Write: {"output":"dist/human.node-gpu.d.ts"} 
+2023-02-13 10:15:14 STATE: Write: {"output":"dist/human.node-gpu.d.ts"} 
-2023-02-13 06:24:12 STATE: Write: {"output":"dist/human.node.d.ts"} 
+2023-02-13 10:15:14 STATE: Write: {"output":"dist/human.node.d.ts"} 
-2023-02-13 06:24:12 STATE: Write: {"output":"dist/human.node-wasm.d.ts"} 
+2023-02-13 10:15:14 STATE: Write: {"output":"dist/human.node-wasm.d.ts"} 
-2023-02-13 06:24:12 INFO:  Analyze models: {"folders":8,"result":"models/models.json"} 
+2023-02-13 10:15:14 INFO:  Analyze models: {"folders":8,"result":"models/models.json"} 
-2023-02-13 06:24:12 STATE: Models {"folder":"./models","models":12} 
+2023-02-13 10:15:14 STATE: Models {"folder":"./models","models":12} 
-2023-02-13 06:24:12 STATE: Models {"folder":"../human-models/models","models":44} 
+2023-02-13 10:15:14 STATE: Models {"folder":"../human-models/models","models":44} 
-2023-02-13 06:24:12 STATE: Models {"folder":"../blazepose/model/","models":4} 
+2023-02-13 10:15:14 STATE: Models {"folder":"../blazepose/model/","models":4} 
-2023-02-13 06:24:12 STATE: Models {"folder":"../anti-spoofing/model","models":1} 
+2023-02-13 10:15:14 STATE: Models {"folder":"../anti-spoofing/model","models":1} 
-2023-02-13 06:24:12 STATE: Models {"folder":"../efficientpose/models","models":3} 
+2023-02-13 10:15:14 STATE: Models {"folder":"../efficientpose/models","models":3} 
-2023-02-13 06:24:12 STATE: Models {"folder":"../insightface/models","models":5} 
+2023-02-13 10:15:14 STATE: Models {"folder":"../insightface/models","models":5} 
-2023-02-13 06:24:12 STATE: Models {"folder":"../movenet/models","models":3} 
+2023-02-13 10:15:14 STATE: Models {"folder":"../movenet/models","models":3} 
-2023-02-13 06:24:12 STATE: Models {"folder":"../nanodet/models","models":4} 
+2023-02-13 10:15:14 STATE: Models {"folder":"../nanodet/models","models":4} 
-2023-02-13 06:24:13 STATE: Models: {"count":58,"totalSize":380063249} 
+2023-02-13 10:15:15 STATE: Models: {"count":58,"totalSize":380063249} 
-2023-02-13 06:24:13 INFO:  Human Build complete... {"logFile":"test/build.log"} 
+2023-02-13 10:15:15 INFO:  Human Build complete... {"logFile":"test/build.log"}