optimize model loading

demo/index.js

@@ -31,10 +31,10 @@ import jsonView from './helpers/jsonview.js';
 let human;
 
 let userConfig = {
+  /*
   warmup: 'none',
   backend: 'humangl',
   debug: true,
-  /*
   wasmPath: 'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.9.0/dist/',
   async: false,
   cacheSensitivity: 0.75,
@@ -51,8 +51,8 @@ let userConfig = {
   },
   object: { enabled: false },
   gesture: { enabled: true },
-  hand: { enabled: false },
+  // hand: { enabled: false },
-  // hand: { enabled: true, maxDetected: 1, minConfidence: 0.5, detector: { modelPath: 'handtrack.json' } },
+  hand: { enabled: true, maxDetected: 1, minConfidence: 0.5, detector: { modelPath: 'handtrack.json' } },
   body: { enabled: false },
   // body: { enabled: true, modelPath: 'movenet-multipose.json' },
   // body: { enabled: true, modelPath: 'posenet.json' },

dist/human.esm.js

@@ -36200,11 +36200,11 @@ var SkipIterator = class extends LazyIterator {
   }
   async serialNext() {
     while (this.count++ < this.maxCount) {
-      const skipped8 = await this.upstream.next();
+      const skipped9 = await this.upstream.next();
-      if (skipped8.done) {
+      if (skipped9.done) {
-        return skipped8;
+        return skipped9;
       }
-      dispose(skipped8.value);
+      dispose(skipped9.value);
     }
     return this.upstream.next();
   }
@@ -60461,16 +60461,16 @@ function decodeBounds(boxOutputs, anchors3, inputSize3) {
   return concat2d([startNormalized, endNormalized], concatAxis);
 }
 var BlazeFaceModel = class {
-  constructor(model11, config3) {
+  constructor(model12, config3) {
     __publicField(this, "model");
     __publicField(this, "anchorsData");
     __publicField(this, "anchors");
     __publicField(this, "inputSize");
     __publicField(this, "config");
-    this.model = model11;
+    this.model = model12;
-    this.anchorsData = generateAnchors(model11.inputs[0].shape[1]);
+    this.anchorsData = generateAnchors(model12.inputs[0].shape[1]);
     this.anchors = tensor2d(this.anchorsData);
-    this.inputSize = model11.inputs[0].shape[2];
+    this.inputSize = model12.inputs[0].shape[2];
     this.config = config3;
   }
   async getBoundingBoxes(inputImage, userConfig) {
@@ -60522,12 +60522,12 @@ var BlazeFaceModel = class {
 };
 async function load(config3) {
   var _a, _b, _c;
-  const model11 = await loadGraphModel(join(config3.modelBasePath, ((_a = config3.face.detector) == null ? void 0 : _a.modelPath) || ""), { fromTFHub: (((_b = config3.face.detector) == null ? void 0 : _b.modelPath) || "").includes("tfhub.dev") });
+  const model12 = await loadGraphModel(join(config3.modelBasePath, ((_a = config3.face.detector) == null ? void 0 : _a.modelPath) || ""), { fromTFHub: (((_b = config3.face.detector) == null ? void 0 : _b.modelPath) || "").includes("tfhub.dev") });
-  const blazeFace = new BlazeFaceModel(model11, config3);
+  const blazeFace = new BlazeFaceModel(model12, config3);
-  if (!model11 || !model11.modelUrl)
+  if (!model12 || !model12.modelUrl)
     log("load model failed:", ((_c = config3.face.detector) == null ? void 0 : _c.modelPath) || "");
   else if (config3.debug)
-    log("load model:", model11.modelUrl);
+    log("load model:", model12.modelUrl);
   return blazeFace;
 }
 
@@ -64947,7 +64947,12 @@ var Pipeline = class {
     dispose(rotated);
     return [angle, rotationMatrix, face5];
   }
-  async augmentIris(rawCoords, face5) {
+  async augmentIris(rawCoords, face5, config3) {
+    if (!this.irisModel) {
+      if (config3.debug)
+        log("face mesh detection requested, but model is not loaded");
+      return rawCoords;
+    }
     const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face5, eyeLandmarks.leftBounds[0], eyeLandmarks.leftBounds[1], true);
     const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face5, eyeLandmarks.rightBounds[0], eyeLandmarks.rightBounds[1]);
     const combined = concat([leftEyeCrop, rightEyeCrop]);
@@ -65043,6 +65048,9 @@ var Pipeline = class {
           confidence: box6.confidence,
           image: face5
         });
+      } else if (!this.meshDetector) {
+        if (config3.debug)
+          log("face mesh detection requested, but model is not loaded");
       } else {
         const [contours, confidence, contourCoords] = this.meshDetector.execute(face5);
         dispose(contours);
@@ -65057,7 +65065,7 @@ var Pipeline = class {
           dispose(face5);
         } else {
           if (config3.face.iris.enabled)
-            rawCoords = await this.augmentIris(rawCoords, face5);
+            rawCoords = await this.augmentIris(rawCoords, face5, config3);
           const mesh = this.transformRawCoords(rawCoords, box6, angle, rotationMatrix);
           box6 = { ...enlargeBox(calculateLandmarksBoundingBox(mesh), 1.5), confidence: box6.confidence };
           if (config3.face.detector.rotation && config3.face.mesh.enabled && config3.face.description.enabled && env2.kernels.includes("rotatewithoffset")) {
@@ -65132,6 +65140,7 @@ async function predict(input2, config3) {
   return results;
 }
 async function load2(config3) {
+  var _a;
   if (env2.initial)
     faceModels = [null, null, null];
   if (!faceModels[0] && config3.face.enabled || !faceModels[1] && config3.face.mesh.enabled || !faceModels[2] && config3.face.iris.enabled || env2.initial) {
@@ -65161,7 +65170,7 @@ async function load2(config3) {
       log("cached model:", faceModels[2]["modelUrl"]);
   }
   facePipeline = new Pipeline(faceModels[0], faceModels[1], faceModels[2]);
-  return faceModels;
+  return [((_a = faceModels[0]) == null ? void 0 : _a.model) || null, faceModels[1], faceModels[2]];
 }
 var triangulation = TRI468;
 var uvmap = UV468;
@@ -68679,14 +68688,14 @@ var anchors = [
 
 // src/handpose/handdetector.ts
 var HandDetector = class {
-  constructor(model11) {
+  constructor(model12) {
     __publicField(this, "model");
     __publicField(this, "anchors");
     __publicField(this, "anchorsTensor");
     __publicField(this, "inputSize");
     __publicField(this, "inputSizeTensor");
     __publicField(this, "doubleInputSizeTensor");
-    this.model = model11;
+    this.model = model12;
     this.anchors = anchors.map((anchor) => [anchor.x, anchor.y]);
     this.anchorsTensor = tensor2d(this.anchors);
     this.inputSize = this.model && this.model.inputs && this.model.inputs[0].shape ? this.model.inputs[0].shape[2] : 0;
@@ -69442,8 +69451,210 @@ async function load6(config3) {
   return [handDetectorModel, handPoseModel];
 }
 
+// src/tfjs/humangl.ts
+var config2 = {
+  name: "humangl",
+  priority: 999,
+  canvas: null,
+  gl: null,
+  extensions: [],
+  webGLattr: {
+    alpha: false,
+    antialias: false,
+    premultipliedAlpha: false,
+    preserveDrawingBuffer: false,
+    depth: false,
+    stencil: false,
+    failIfMajorPerformanceCaveat: false,
+    desynchronized: true
+  }
+};
+function extensions() {
+  const gl = config2.gl;
+  if (!gl)
+    return;
+  config2.extensions = gl.getSupportedExtensions();
+}
+async function register(instance) {
+  var _a;
+  if (instance.config.backend !== "humangl")
+    return;
+  if (config2.name in engine().registry && (!config2.gl || !config2.gl.getParameter(config2.gl.VERSION))) {
+    log("error: humangl backend invalid context");
+    reset(instance);
+  }
+  if (!findBackend(config2.name)) {
+    try {
+      config2.canvas = await canvas(100, 100);
+    } catch (err) {
+      log("error: cannot create canvas:", err);
+      return;
+    }
+    try {
+      config2.gl = (_a = config2.canvas) == null ? void 0 : _a.getContext("webgl2", config2.webGLattr);
+      if (config2.canvas) {
+        config2.canvas.addEventListener("webglcontextlost", async (e) => {
+          log("error: humangl:", e.type);
+          log("possible browser memory leak using webgl");
+          instance.emit("error");
+          throw new Error("browser webgl error");
+        });
+        config2.canvas.addEventListener("webglcontextrestored", (e) => {
+          log("error: humangl context restored:", e);
+        });
+        config2.canvas.addEventListener("webglcontextcreationerror", (e) => {
+          log("error: humangl context create:", e);
+        });
+      }
+    } catch (err) {
+      log("error: cannot get WebGL context:", err);
+      return;
+    }
+    try {
+      setWebGLContext(2, config2.gl);
+    } catch (err) {
+      log("error: cannot set WebGL context:", err);
+      return;
+    }
+    const current = backend().getGPGPUContext ? backend().getGPGPUContext().gl : null;
+    if (current) {
+      log(`humangl webgl version:${current.getParameter(current.VERSION)} renderer:${current.getParameter(current.RENDERER)}`);
+    } else {
+      log("error: no current gl context:", current, config2.gl);
+      return;
+    }
+    try {
+      const ctx = new GPGPUContext(config2.gl);
+      registerBackend(config2.name, () => new MathBackendWebGL(ctx), config2.priority);
+    } catch (err) {
+      log("error: cannot register WebGL backend:", err);
+      return;
+    }
+    try {
+      const kernels = getKernelsForBackend("webgl");
+      kernels.forEach((kernelConfig) => {
+        const newKernelConfig = { ...kernelConfig, backendName: config2.name };
+        registerKernel(newKernelConfig);
+      });
+    } catch (err) {
+      log("error: cannot update WebGL backend registration:", err);
+      return;
+    }
+    try {
+      ENV.set("WEBGL_VERSION", 2);
+    } catch (err) {
+      log("error: cannot set WebGL backend flags:", err);
+      return;
+    }
+    extensions();
+    log("backend registered:", config2.name);
+  }
+}
+
+// src/tfjs/backend.ts
+async function check(instance, force = false) {
+  instance.state = "backend";
+  if (force || env2.initial || instance.config.backend && instance.config.backend.length > 0 && getBackend() !== instance.config.backend) {
+    const timeStamp = now();
+    if (instance.config.backend && instance.config.backend.length > 0) {
+      if (typeof window === "undefined" && typeof WorkerGlobalScope !== "undefined" && instance.config.debug) {
+        if (instance.config.debug)
+          log("running inside web worker");
+      }
+      if (env2.browser && instance.config.backend === "tensorflow") {
+        if (instance.config.debug)
+          log("override: backend set to tensorflow while running in browser");
+        instance.config.backend = "humangl";
+      }
+      if (env2.node && (instance.config.backend === "webgl" || instance.config.backend === "humangl")) {
+        if (instance.config.debug)
+          log(`override: backend set to ${instance.config.backend} while running in nodejs`);
+        instance.config.backend = "tensorflow";
+      }
+      if (env2.browser && instance.config.backend === "webgpu") {
+        if (typeof navigator === "undefined" || typeof navigator["gpu"] === "undefined") {
+          log("override: backend set to webgpu but browser does not support webgpu");
+          instance.config.backend = "humangl";
+        } else {
+          const adapter = await navigator["gpu"].requestAdapter();
+          if (instance.config.debug)
+            log("enumerated webgpu adapter:", adapter);
+        }
+      }
+      if (instance.config.backend === "humangl")
+        await register(instance);
+      const available = Object.keys(engine().registryFactory);
+      if (instance.config.debug)
+        log("available backends:", available);
+      if (!available.includes(instance.config.backend)) {
+        log(`error: backend ${instance.config.backend} not found in registry`);
+        instance.config.backend = env2.node ? "tensorflow" : "humangl";
+        if (instance.config.debug)
+          log(`override: setting backend ${instance.config.backend}`);
+      }
+      if (instance.config.debug)
+        log("setting backend:", instance.config.backend);
+      if (instance.config.backend === "wasm") {
+        if (instance.config.debug)
+          log("wasm path:", instance.config.wasmPath);
+        if (typeof (tfjs_esm_exports == null ? void 0 : tfjs_esm_exports.setWasmPaths) !== "undefined")
+          await setWasmPaths(instance.config.wasmPath);
+        else
+          throw new Error("wasm backend is not loaded");
+        const simd = await env().getAsync("WASM_HAS_SIMD_SUPPORT");
+        const mt = await env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
+        if (instance.config.debug)
+          log(`wasm execution: ${simd ? "SIMD" : "no SIMD"} ${mt ? "multithreaded" : "singlethreaded"}`);
+        if (instance.config.debug && !simd)
+          log("warning: wasm simd support is not enabled");
+      }
+      try {
+        await setBackend(instance.config.backend);
+        await ready();
+      } catch (err) {
+        log("error: cannot set backend:", instance.config.backend, err);
+        return false;
+      }
+    }
+    if (getBackend() === "humangl") {
+      ENV.set("CHECK_COMPUTATION_FOR_ERRORS", false);
+      ENV.set("WEBGL_CPU_FORWARD", true);
+      ENV.set("WEBGL_PACK_DEPTHWISECONV", false);
+      ENV.set("WEBGL_USE_SHAPES_UNIFORMS", true);
+      if (typeof instance.config["deallocate"] !== "undefined" && instance.config["deallocate"]) {
+        log("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:", true);
+        ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD", 0);
+      }
+      const gl = await backend().getGPGPUContext().gl;
+      if (instance.config.debug)
+        log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);
+    }
+    enableProdMode();
+    await ready();
+    instance.performance.backend = Math.trunc(now() - timeStamp);
+    instance.config.backend = getBackend();
+    get3();
+    instance.env = env2;
+  }
+  return true;
+}
+function fakeOps(kernelNames, config3) {
+  for (const kernelName of kernelNames) {
+    const kernelConfig = {
+      kernelName,
+      backendName: config3.backend,
+      kernelFunc: () => {
+        if (config3.debug)
+          log("kernelFunc", kernelName, config3.backend);
+      }
+    };
+    registerKernel(kernelConfig);
+  }
+  env2.kernels = getKernelsForBackend(getBackend()).map((kernel) => kernel.kernelName.toLowerCase());
+}
+
 // src/handtrack/handtrack.ts
-var models = [null, null];
+var models2 = [null, null];
 var modelOutputNodes = ["StatefulPartitionedCall/Postprocessor/Slice", "StatefulPartitionedCall/Postprocessor/ExpandDims_1"];
 var inputSize = [[0, 0], [0, 0]];
 var classes = [
@@ -69470,39 +69681,44 @@ var fingerMap = {
   pinky: [17, 18, 19, 20],
   palm: [0]
 };
-async function load7(config3) {
+async function loadDetect(config3) {
-  var _a, _b;
+  var _a;
-  if (env2.initial) {
+  if (env2.initial)
-    models[0] = null;
+    models2[0] = null;
-    models[1] = null;
+  if (!models2[0]) {
-  }
+    fakeOps(["tensorlistreserve", "enter", "tensorlistfromtensor", "merge", "loopcond", "switch", "exit", "tensorliststack", "nextiteration", "tensorlistsetitem", "tensorlistgetitem", "reciprocal", "shape", "split", "where"], config3);
-  if (!models[0]) {
+    models2[0] = await loadGraphModel(join(config3.modelBasePath, ((_a = config3.hand.detector) == null ? void 0 : _a.modelPath) || ""));
-    models[0] = await loadGraphModel(join(config3.modelBasePath, ((_a = config3.hand.detector) == null ? void 0 : _a.modelPath) || ""));
+    const inputs = Object.values(models2[0].modelSignature["inputs"]);
-    const inputs = Object.values(models[0].modelSignature["inputs"]);
     inputSize[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
     inputSize[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
-    if (!models[0] || !models[0]["modelUrl"])
+    if (!models2[0] || !models2[0]["modelUrl"])
       log("load model failed:", config3.object.modelPath);
     else if (config3.debug)
-      log("load model:", models[0]["modelUrl"]);
+      log("load model:", models2[0]["modelUrl"]);
   } else if (config3.debug)
-    log("cached model:", models[0]["modelUrl"]);
+    log("cached model:", models2[0]["modelUrl"]);
-  if (!models[1]) {
+  return models2[0];
-    models[1] = await loadGraphModel(join(config3.modelBasePath, ((_b = config3.hand.skeleton) == null ? void 0 : _b.modelPath) || ""));
+}
-    const inputs = Object.values(models[1].modelSignature["inputs"]);
+async function loadSkeleton(config3) {
+  var _a;
+  if (env2.initial)
+    models2[1] = null;
+  if (!models2[1]) {
+    models2[1] = await loadGraphModel(join(config3.modelBasePath, ((_a = config3.hand.skeleton) == null ? void 0 : _a.modelPath) || ""));
+    const inputs = Object.values(models2[1].modelSignature["inputs"]);
     inputSize[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
     inputSize[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
-    if (!models[1] || !models[1]["modelUrl"])
+    if (!models2[1] || !models2[1]["modelUrl"])
       log("load model failed:", config3.object.modelPath);
     else if (config3.debug)
-      log("load model:", models[1]["modelUrl"]);
+      log("load model:", models2[1]["modelUrl"]);
   } else if (config3.debug)
-    log("cached model:", models[1]["modelUrl"]);
+    log("cached model:", models2[1]["modelUrl"]);
-  return models;
+  return models2[1];
 }
 async function detectHands(input2, config3) {
   const hands = [];
-  if (!input2 || !models[0])
+  if (!input2 || !models2[0])
     return hands;
   const t = {};
   const ratio = (input2.shape[2] || 1) / (input2.shape[1] || 1);
@@ -69510,7 +69726,7 @@ async function detectHands(input2, config3) {
   const width = Math.round(height * ratio / 8) * 8;
   t.resize = image.resizeBilinear(input2, [height, width]);
   t.cast = cast(t.resize, "int32");
-  [t.rawScores, t.rawBoxes] = await models[0].executeAsync(t.cast, modelOutputNodes);
+  [t.rawScores, t.rawBoxes] = await models2[0].executeAsync(t.cast, modelOutputNodes);
   t.boxes = squeeze(t.rawBoxes, [0, 2]);
   t.scores = squeeze(t.rawScores, [0]);
   const classScores = unstack(t.scores, 1);
@@ -69579,7 +69795,7 @@ async function detectFingers(input2, h, config3) {
     landmarks: {},
     annotations: {}
   };
-  if (!input2 || !models[1])
+  if (!input2 || !models2[1])
     return hand3;
   if (config3.hand.landmarks) {
     const t = {};
@@ -69588,7 +69804,7 @@ async function detectFingers(input2, h, config3) {
     t.crop = image.cropAndResize(input2, [h.yxBox], [0], [inputSize[1][0], inputSize[1][1]], "bilinear");
     t.cast = cast(t.crop, "float32");
     t.div = div(t.cast, 255);
-    [t.score, t.keypoints] = models[1].execute(t.div);
+    [t.score, t.keypoints] = models2[1].execute(t.div);
     const score3 = Math.round(100 * (await t.score.data())[0] / 100);
     if (score3 > (config3.hand.minConfidence || 0)) {
       hand3.fingerScore = score3;
@@ -69711,7 +69927,7 @@ var upper = [
 
 // src/blazepose/blazepose.ts
 var model5;
-async function load8(config3) {
+async function load7(config3) {
   if (env2.initial)
     model5 = null;
   if (!model5) {
@@ -69782,7 +69998,7 @@ var boxRaw = [0, 0, 0, 0];
 var score = 0;
 var skipped4 = Number.MAX_SAFE_INTEGER;
 var bodyParts = ["head", "neck", "rightShoulder", "rightElbow", "rightWrist", "chest", "leftShoulder", "leftElbow", "leftWrist", "pelvis", "rightHip", "rightKnee", "rightAnkle", "leftHip", "leftKnee", "leftAnkle"];
-async function load9(config3) {
+async function load8(config3) {
   if (env2.initial)
     model6 = null;
   if (!model6) {
@@ -69885,7 +70101,7 @@ var boxRaw2 = [0, 0, 0, 0];
 var score2 = 0;
 var skipped5 = Number.MAX_SAFE_INTEGER;
 var bodyParts2 = ["nose", "leftEye", "rightEye", "leftEar", "rightEar", "leftShoulder", "rightShoulder", "leftElbow", "rightElbow", "leftWrist", "rightWrist", "leftHip", "rightHip", "leftKnee", "rightKnee", "leftAnkle", "rightAnkle"];
-async function load10(config3) {
+async function load9(config3) {
   if (env2.initial)
     model7 = null;
   if (!model7) {
@@ -70103,7 +70319,7 @@ var model8;
 var last3 = [];
 var skipped6 = Number.MAX_SAFE_INTEGER;
 var scaleBox = 2.5;
-async function load11(config3) {
+async function load10(config3) {
   if (!model8 || env2.initial) {
     model8 = await loadGraphModel(join(config3.modelBasePath, config3.object.modelPath || ""));
     const inputs = Object.values(model8.modelSignature["inputs"]);
@@ -70209,10 +70425,11 @@ var model9;
 var inputSize2 = 0;
 var last4 = [];
 var skipped7 = Number.MAX_SAFE_INTEGER;
-async function load12(config3) {
+async function load11(config3) {
   if (env2.initial)
     model9 = null;
   if (!model9) {
+    fakeOps(["floormod"], config3);
     model9 = await loadGraphModel(join(config3.modelBasePath, config3.object.modelPath || ""));
     const inputs = Object.values(model9.modelSignature["inputs"]);
     inputSize2 = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
@@ -70292,7 +70509,7 @@ async function predict11(input2, config3) {
 // src/segmentation/segmentation.ts
 var model10;
 var busy = false;
-async function load13(config3) {
+async function load12(config3) {
   if (!model10 || env2.initial) {
     model10 = await loadGraphModel(join(config3.modelBasePath, config3.segmentation.modelPath || ""));
     if (!model10 || !model10["modelUrl"])
@@ -70309,7 +70526,7 @@ async function process5(input2, background, config3) {
     return { data: [], canvas: null, alpha: null };
   busy = true;
   if (!model10)
-    await load13(config3);
+    await load12(config3);
   const inputImage = process2(input2, config3);
   const width = ((_a = inputImage.canvas) == null ? void 0 : _a.width) || 0;
   const height = ((_b = inputImage.canvas) == null ? void 0 : _b.height) || 0;
@@ -70372,82 +70589,98 @@ async function process5(input2, background, config3) {
   return { data, canvas: mergedCanvas || compositeCanvas, alpha: alphaCanvas };
 }
 
+// src/gear/agegenderrace.ts
+var model11;
+var skipped8 = Number.MAX_SAFE_INTEGER;
+async function load13(config3) {
+  if (env2.initial)
+    model11 = null;
+  if (!model11) {
+    model11 = await loadGraphModel(join(config3.modelBasePath, config3.face.agegenderrace.modelPath));
+    if (!model11 || !model11["modelUrl"])
+      log("load model failed:", config3.face.agegenderrace.modelPath);
+    else if (config3.debug)
+      log("load model:", model11["modelUrl"]);
+  } else if (config3.debug)
+    log("cached model:", model11["modelUrl"]);
+  return model11;
+}
+
 // src/models.ts
+var Models = class {
+  constructor() {
+    __publicField(this, "age", null);
+    __publicField(this, "agegenderrace", null);
+    __publicField(this, "blazepose", null);
+    __publicField(this, "centernet", null);
+    __publicField(this, "efficientpose", null);
+    __publicField(this, "embedding", null);
+    __publicField(this, "emotion", null);
+    __publicField(this, "facedetect", null);
+    __publicField(this, "faceiris", null);
+    __publicField(this, "facemesh", null);
+    __publicField(this, "faceres", null);
+    __publicField(this, "gender", null);
+    __publicField(this, "handpose", null);
+    __publicField(this, "handskeleton", null);
+    __publicField(this, "handtrack", null);
+    __publicField(this, "movenet", null);
+    __publicField(this, "nanodet", null);
+    __publicField(this, "posenet", null);
+    __publicField(this, "segmentation", null);
+  }
+};
 function reset(instance) {
-  instance.models = {
+  for (const model12 of Object.keys(instance.models))
-    face: null,
+    instance.models[model12] = null;
-    handpose: null,
-    handtrack: null,
-    posenet: null,
-    blazepose: null,
-    efficientpose: null,
-    movenet: null,
-    age: null,
-    gender: null,
-    emotion: null,
-    embedding: null,
-    nanodet: null,
-    centernet: null,
-    faceres: null,
-    segmentation: null
-  };
 }
 async function load14(instance) {
+  var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o, _p, _q, _r, _s, _t, _u, _v, _w, _x, _y, _z, _A;
   if (env2.initial)
     reset(instance);
-  if (instance.config.async) {
+  if (instance.config.face.enabled) {
-    [
+    if (!instance.models.facedetect)
-      instance.models.face,
+      [instance.models.facedetect, instance.models.facemesh, instance.models.faceiris] = await load2(instance.config);
-      instance.models.emotion,
+    if (((_a = instance.config.face.mesh) == null ? void 0 : _a.enabled) && !instance.models.facemesh)
-      instance.models.handpose,
+      [instance.models.facedetect, instance.models.facemesh, instance.models.faceiris] = await load2(instance.config);
-      instance.models.handtrack,
+    if (((_b = instance.config.face.iris) == null ? void 0 : _b.enabled) && !instance.models.faceiris)
-      instance.models.posenet,
+      [instance.models.facedetect, instance.models.facemesh, instance.models.faceiris] = await load2(instance.config);
-      instance.models.blazepose,
+  }
-      instance.models.efficientpose,
+  if (instance.config.hand.enabled) {
-      instance.models.movenet,
+    if (!instance.models.handpose && ((_d = (_c = instance.config.hand.detector) == null ? void 0 : _c.modelPath) == null ? void 0 : _d.includes("handdetect")))
-      instance.models.nanodet,
+      [instance.models.handpose, instance.models.handskeleton] = await load6(instance.config);
-      instance.models.centernet,
+    if (!instance.models.handskeleton && instance.config.hand.landmarks && ((_f = (_e = instance.config.hand.detector) == null ? void 0 : _e.modelPath) == null ? void 0 : _f.includes("handdetect")))
-      instance.models.faceres,
+      [instance.models.handpose, instance.models.handskeleton] = await load6(instance.config);
-      instance.models.segmentation
+  }
-    ] = await Promise.all([
+  if (instance.config.hand.enabled && !instance.models.handtrack && ((_h = (_g = instance.config.hand.detector) == null ? void 0 : _g.modelPath) == null ? void 0 : _h.includes("handtrack")))
-      instance.models.face || (instance.config.face.enabled ? load2(instance.config) : null),
+    instance.models.handtrack = loadDetect(instance.config);
-      instance.models.emotion || (instance.config.face.enabled && instance.config.face.emotion.enabled ? load4(instance.config) : null),
+  if (instance.config.hand.enabled && instance.config.hand.landmarks && !instance.models.handskeleton && ((_j = (_i = instance.config.hand.detector) == null ? void 0 : _i.modelPath) == null ? void 0 : _j.includes("handtrack")))
-      instance.models.handpose || (instance.config.hand.enabled && instance.config.hand.detector.modelPath.includes("handdetect") ? load6(instance.config) : null),
+    instance.models.handskeleton = loadSkeleton(instance.config);
-      instance.models.handtrack || (instance.config.hand.enabled && instance.config.hand.detector.modelPath.includes("handtrack") ? load7(instance.config) : null),
+  if (instance.config.body.enabled && !instance.models.posenet && ((_l = (_k = instance.config.body) == null ? void 0 : _k.modelPath) == null ? void 0 : _l.includes("posenet")))
-      instance.models.posenet || (instance.config.body.enabled && instance.config.body.modelPath.includes("posenet") ? load5(instance.config) : null),
+    instance.models.posenet = load5(instance.config);
-      instance.models.blazepose || (instance.config.body.enabled && instance.config.body.modelPath.includes("blazepose") ? load8(instance.config) : null),
+  if (instance.config.body.enabled && !instance.models.efficientpose && ((_n = (_m = instance.config.body) == null ? void 0 : _m.modelPath) == null ? void 0 : _n.includes("efficientpose")))
-      instance.models.efficientpose || (instance.config.body.enabled && instance.config.body.modelPath.includes("efficientpose") ? load9(instance.config) : null),
+    instance.models.efficientpose = load8(instance.config);
-      instance.models.movenet || (instance.config.body.enabled && instance.config.body.modelPath.includes("movenet") ? load10(instance.config) : null),
+  if (instance.config.body.enabled && !instance.models.blazepose && ((_p = (_o = instance.config.body) == null ? void 0 : _o.modelPath) == null ? void 0 : _p.includes("blazepose")))
-      instance.models.nanodet || (instance.config.object.enabled && instance.config.object.modelPath.includes("nanodet") ? load11(instance.config) : null),
+    instance.models.blazepose = load7(instance.config);
-      instance.models.centernet || (instance.config.object.enabled && instance.config.object.modelPath.includes("centernet") ? load12(instance.config) : null),
+  if (instance.config.body.enabled && !instance.models.efficientpose && ((_r = (_q = instance.config.body) == null ? void 0 : _q.modelPath) == null ? void 0 : _r.includes("efficientpose")))
-      instance.models.faceres || (instance.config.face.enabled && instance.config.face.description.enabled ? load3(instance.config) : null),
+    instance.models.efficientpose = load7(instance.config);
-      instance.models.segmentation || (instance.config.segmentation.enabled ? load13(instance.config) : null)
+  if (instance.config.body.enabled && !instance.models.movenet && ((_t = (_s = instance.config.body) == null ? void 0 : _s.modelPath) == null ? void 0 : _t.includes("movenet")))
-    ]);
+    instance.models.movenet = load9(instance.config);
-  } else {
+  if (instance.config.object.enabled && !instance.models.nanodet && ((_v = (_u = instance.config.object) == null ? void 0 : _u.modelPath) == null ? void 0 : _v.includes("nanodet")))
-    if (instance.config.face.enabled && !instance.models.face)
+    instance.models.nanodet = load10(instance.config);
-      instance.models.face = await load2(instance.config);
+  if (instance.config.object.enabled && !instance.models.centernet && ((_x = (_w = instance.config.object) == null ? void 0 : _w.modelPath) == null ? void 0 : _x.includes("centernet")))
-    if (instance.config.face.enabled && instance.config.face.emotion.enabled && !instance.models.emotion)
+    instance.models.centernet = load11(instance.config);
-      instance.models.emotion = await load4(instance.config);
+  if (instance.config.face.enabled && ((_y = instance.config.face.emotion) == null ? void 0 : _y.enabled) && !instance.models.emotion)
-    if (instance.config.hand.enabled && !instance.models.handpose && instance.config.hand.detector.modelPath.includes("handdetect"))
+    instance.models.emotion = load4(instance.config);
-      instance.models.handpose = await load6(instance.config);
+  if (instance.config.face.enabled && ((_z = instance.config.face.description) == null ? void 0 : _z.enabled) && !instance.models.faceres)
-    if (instance.config.hand.enabled && !instance.models.handtrack && instance.config.hand.detector.modelPath.includes("handtrack"))
+    instance.models.faceres = load3(instance.config);
-      instance.models.handtrack = await load7(instance.config);
+  if (instance.config.segmentation.enabled && !instance.models.segmentation)
-    if (instance.config.body.enabled && !instance.models.posenet && instance.config.body.modelPath.includes("posenet"))
+    instance.models.segmentation = load12(instance.config);
-      instance.models.posenet = await load5(instance.config);
+  if (instance.config.face.enabled && ((_A = instance.config.face["agegenderrace"]) == null ? void 0 : _A.enabled) && !instance.models.agegenderrace)
-    if (instance.config.body.enabled && !instance.models.blazepose && instance.config.body.modelPath.includes("blazepose"))
+    instance.models.agegenderrace = load13(instance.config);
-      instance.models.blazepose = await load8(instance.config);
+  for await (const model12 of Object.keys(instance.models)) {
-    if (instance.config.body.enabled && !instance.models.efficientpose && instance.config.body.modelPath.includes("efficientpose"))
+    if (instance.models[model12] && typeof instance.models[model12] !== "undefined")
-      instance.models.efficientpose = await load8(instance.config);
+      instance.models[model12] = await instance.models[model12];
-    if (instance.config.body.enabled && !instance.models.movenet && instance.config.body.modelPath.includes("movenet"))
-      instance.models.movenet = await load10(instance.config);
-    if (instance.config.object.enabled && !instance.models.nanodet && instance.config.object.modelPath.includes("nanodet"))
-      instance.models.nanodet = await load11(instance.config);
-    if (instance.config.object.enabled && !instance.models.centernet && instance.config.object.modelPath.includes("centernet"))
-      instance.models.centernet = await load12(instance.config);
-    if (instance.config.face.enabled && instance.config.face.description.enabled && !instance.models.faceres)
-      instance.models.faceres = await load3(instance.config);
-    if (instance.config.segmentation.enabled && !instance.models.segmentation)
-      instance.models.segmentation = await load13(instance.config);
   }
 }
 async function validate2(instance) {
@@ -70456,18 +70689,18 @@ async function validate2(instance) {
     if (instance.models[defined]) {
       let models4 = [];
       if (Array.isArray(instance.models[defined])) {
-        models4 = instance.models[defined].filter((model11) => model11 !== null).map((model11) => model11 && model11.executor ? model11 : model11.model);
+        models4 = instance.models[defined].filter((model12) => model12 !== null).map((model12) => model12 && model12.executor ? model12 : model12.model);
       } else {
         models4 = [instance.models[defined]];
       }
-      for (const model11 of models4) {
+      for (const model12 of models4) {
-        if (!model11) {
+        if (!model12) {
           if (instance.config.debug)
             log("model marked as loaded but not defined:", defined);
           continue;
         }
         const ops = [];
-        const executor = model11 == null ? void 0 : model11.executor;
+        const executor = model12 == null ? void 0 : model12.executor;
         if (executor && executor.graph.nodes) {
           for (const kernel of Object.values(executor.graph.nodes)) {
             const op2 = kernel.op.toLowerCase();
@@ -70597,7 +70830,7 @@ var calculateFaceAngle = (face5, imageSize) => {
   return { angle, matrix, gaze };
 };
 var detectFace = async (parent, input2) => {
-  var _a, _b, _c, _d, _e, _f;
+  var _a, _b, _c, _d;
   let timeStamp;
   let ageRes;
   let gearRes;
@@ -70649,7 +70882,7 @@ var detectFace = async (parent, input2) => {
       delete faces[i].annotations.leftEyeIris;
       delete faces[i].annotations.rightEyeIris;
     }
-    const irisSize = ((_e = faces[i].annotations) == null ? void 0 : _e.leftEyeIris) && ((_f = faces[i].annotations) == null ? void 0 : _f.rightEyeIris) ? Math.max(Math.abs(faces[i].annotations.leftEyeIris[3][0] - faces[i].annotations.leftEyeIris[1][0]), Math.abs(faces[i].annotations.rightEyeIris[4][1] - faces[i].annotations.rightEyeIris[2][1])) / input2.shape[2] : 0;
+    const irisSize = faces[i].annotations && faces[i].annotations.leftEyeIris && faces[i].annotations.rightEyeIris && faces[i].annotations.leftEyeIris.length > 0 && faces[i].annotations.rightEyeIris.length > 0 && faces[i].annotations.leftEyeIris[0] !== null && faces[i].annotations.rightEyeIris[0] !== null ? Math.max(Math.abs(faces[i].annotations.leftEyeIris[3][0] - faces[i].annotations.leftEyeIris[1][0]), Math.abs(faces[i].annotations.rightEyeIris[4][1] - faces[i].annotations.rightEyeIris[2][1])) / input2.shape[2] : 0;
     const tensor2 = parent.config.face.detector.return ? squeeze(faces[i].tensor) : null;
     dispose(faces[i].tensor);
     if (faces[i].tensor)
@@ -71440,194 +71673,6 @@ function calc(newResult) {
   return bufferedResult;
 }
 
-// src/tfjs/humangl.ts
-var config2 = {
-  name: "humangl",
-  priority: 999,
-  canvas: null,
-  gl: null,
-  extensions: [],
-  webGLattr: {
-    alpha: false,
-    antialias: false,
-    premultipliedAlpha: false,
-    preserveDrawingBuffer: false,
-    depth: false,
-    stencil: false,
-    failIfMajorPerformanceCaveat: false,
-    desynchronized: true
-  }
-};
-function extensions() {
-  const gl = config2.gl;
-  if (!gl)
-    return;
-  config2.extensions = gl.getSupportedExtensions();
-}
-async function register(instance) {
-  var _a;
-  if (instance.config.backend !== "humangl")
-    return;
-  if (config2.name in engine().registry && (!config2.gl || !config2.gl.getParameter(config2.gl.VERSION))) {
-    log("error: humangl backend invalid context");
-    reset(instance);
-  }
-  if (!findBackend(config2.name)) {
-    try {
-      config2.canvas = await canvas(100, 100);
-    } catch (err) {
-      log("error: cannot create canvas:", err);
-      return;
-    }
-    try {
-      config2.gl = (_a = config2.canvas) == null ? void 0 : _a.getContext("webgl2", config2.webGLattr);
-      if (config2.canvas) {
-        config2.canvas.addEventListener("webglcontextlost", async (e) => {
-          log("error: humangl:", e.type);
-          log("possible browser memory leak using webgl");
-          instance.emit("error");
-          throw new Error("browser webgl error");
-        });
-        config2.canvas.addEventListener("webglcontextrestored", (e) => {
-          log("error: humangl context restored:", e);
-        });
-        config2.canvas.addEventListener("webglcontextcreationerror", (e) => {
-          log("error: humangl context create:", e);
-        });
-      }
-    } catch (err) {
-      log("error: cannot get WebGL context:", err);
-      return;
-    }
-    try {
-      setWebGLContext(2, config2.gl);
-    } catch (err) {
-      log("error: cannot set WebGL context:", err);
-      return;
-    }
-    const current = backend().getGPGPUContext ? backend().getGPGPUContext().gl : null;
-    if (current) {
-      log(`humangl webgl version:${current.getParameter(current.VERSION)} renderer:${current.getParameter(current.RENDERER)}`);
-    } else {
-      log("error: no current gl context:", current, config2.gl);
-      return;
-    }
-    try {
-      const ctx = new GPGPUContext(config2.gl);
-      registerBackend(config2.name, () => new MathBackendWebGL(ctx), config2.priority);
-    } catch (err) {
-      log("error: cannot register WebGL backend:", err);
-      return;
-    }
-    try {
-      const kernels = getKernelsForBackend("webgl");
-      kernels.forEach((kernelConfig) => {
-        const newKernelConfig = { ...kernelConfig, backendName: config2.name };
-        registerKernel(newKernelConfig);
-      });
-    } catch (err) {
-      log("error: cannot update WebGL backend registration:", err);
-      return;
-    }
-    try {
-      ENV.set("WEBGL_VERSION", 2);
-    } catch (err) {
-      log("error: cannot set WebGL backend flags:", err);
-      return;
-    }
-    extensions();
-    log("backend registered:", config2.name);
-  }
-}
-
-// src/tfjs/backend.ts
-async function check(instance, force = false) {
-  instance.state = "backend";
-  if (force || env2.initial || instance.config.backend && instance.config.backend.length > 0 && getBackend() !== instance.config.backend) {
-    const timeStamp = now();
-    if (instance.config.backend && instance.config.backend.length > 0) {
-      if (typeof window === "undefined" && typeof WorkerGlobalScope !== "undefined" && instance.config.debug) {
-        if (instance.config.debug)
-          log("running inside web worker");
-      }
-      if (env2.browser && instance.config.backend === "tensorflow") {
-        if (instance.config.debug)
-          log("override: backend set to tensorflow while running in browser");
-        instance.config.backend = "humangl";
-      }
-      if (env2.node && (instance.config.backend === "webgl" || instance.config.backend === "humangl")) {
-        if (instance.config.debug)
-          log(`override: backend set to ${instance.config.backend} while running in nodejs`);
-        instance.config.backend = "tensorflow";
-      }
-      if (env2.browser && instance.config.backend === "webgpu") {
-        if (typeof navigator === "undefined" || typeof navigator["gpu"] === "undefined") {
-          log("override: backend set to webgpu but browser does not support webgpu");
-          instance.config.backend = "humangl";
-        } else {
-          const adapter = await navigator["gpu"].requestAdapter();
-          if (instance.config.debug)
-            log("enumerated webgpu adapter:", adapter);
-        }
-      }
-      if (instance.config.backend === "humangl")
-        await register(instance);
-      const available = Object.keys(engine().registryFactory);
-      if (instance.config.debug)
-        log("available backends:", available);
-      if (!available.includes(instance.config.backend)) {
-        log(`error: backend ${instance.config.backend} not found in registry`);
-        instance.config.backend = env2.node ? "tensorflow" : "humangl";
-        if (instance.config.debug)
-          log(`override: setting backend ${instance.config.backend}`);
-      }
-      if (instance.config.debug)
-        log("setting backend:", instance.config.backend);
-      if (instance.config.backend === "wasm") {
-        if (instance.config.debug)
-          log("wasm path:", instance.config.wasmPath);
-        if (typeof (tfjs_esm_exports == null ? void 0 : tfjs_esm_exports.setWasmPaths) !== "undefined")
-          await setWasmPaths(instance.config.wasmPath);
-        else
-          throw new Error("wasm backend is not loaded");
-        const simd = await env().getAsync("WASM_HAS_SIMD_SUPPORT");
-        const mt = await env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
-        if (instance.config.debug)
-          log(`wasm execution: ${simd ? "SIMD" : "no SIMD"} ${mt ? "multithreaded" : "singlethreaded"}`);
-        if (instance.config.debug && !simd)
-          log("warning: wasm simd support is not enabled");
-      }
-      try {
-        await setBackend(instance.config.backend);
-        await ready();
-      } catch (err) {
-        log("error: cannot set backend:", instance.config.backend, err);
-        return false;
-      }
-    }
-    if (getBackend() === "humangl") {
-      ENV.set("CHECK_COMPUTATION_FOR_ERRORS", false);
-      ENV.set("WEBGL_CPU_FORWARD", true);
-      ENV.set("WEBGL_PACK_DEPTHWISECONV", false);
-      ENV.set("WEBGL_USE_SHAPES_UNIFORMS", true);
-      if (typeof instance.config["deallocate"] !== "undefined" && instance.config["deallocate"]) {
-        log("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:", true);
-        ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD", 0);
-      }
-      const gl = await backend().getGPGPUContext().gl;
-      if (instance.config.debug)
-        log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);
-    }
-    enableProdMode();
-    await ready();
-    instance.performance.backend = Math.trunc(now() - timeStamp);
-    instance.config.backend = getBackend();
-    get3();
-    instance.env = env2;
-  }
-  return true;
-}
-
 // package.json
 var version6 = "2.2.2";
 
@@ -72536,23 +72581,7 @@ var Human = class {
     __privateSet(this, _checkSanity, false);
     this.performance = { backend: 0, load: 0, image: 0, frames: 0, cached: 0, changed: 0, total: 0, draw: 0 };
     this.events = new EventTarget();
-    this.models = {
+    this.models = new Models();
-      face: null,
-      handpose: null,
-      handtrack: null,
-      posenet: null,
-      blazepose: null,
-      efficientpose: null,
-      movenet: null,
-      age: null,
-      gender: null,
-      emotion: null,
-      embedding: null,
-      nanodet: null,
-      centernet: null,
-      faceres: null,
-      segmentation: null
-    };
     this.draw = {
       options: options2,
       canvas: (input2, output) => canvas2(input2, output),
@@ -72591,7 +72620,7 @@ var Human = class {
   async load(userConfig) {
     this.state = "load";
     const timeStamp = now();
-    const count3 = Object.values(this.models).filter((model11) => model11).length;
+    const count3 = Object.values(this.models).filter((model12) => model12).length;
     if (userConfig)
       this.config = mergeDeep(this.config, userConfig);
     if (env2.initial) {
@@ -72613,7 +72642,7 @@ var Human = class {
     if (env2.initial && this.config.debug)
       log("tf engine state:", this.tf.engine().state.numBytes, "bytes", this.tf.engine().state.numTensors, "tensors");
     env2.initial = false;
-    const loaded = Object.values(this.models).filter((model11) => model11).length;
+    const loaded = Object.values(this.models).filter((model12) => model12).length;
     if (loaded !== count3) {
       await validate2(this);
       this.emit("load");
@@ -72794,6 +72823,7 @@ _checkSanity = new WeakMap();
 _sanity = new WeakMap();
 export {
   Human,
+  Models,
   Human as default,
   config as defaults,
   env2 as env

src/blazeface/facemesh.ts

@@ -58,7 +58,7 @@ export async function predict(input: Tensor, config: Config): Promise<FaceResult
   return results;
 }
 
-export async function load(config): Promise<[unknown, GraphModel | null, GraphModel | null]> {
+export async function load(config): Promise<[GraphModel | null, GraphModel | null, GraphModel | null]> {
   if (env.initial) faceModels = [null, null, null];
   if ((!faceModels[0] && config.face.enabled) || (!faceModels[1] && config.face.mesh.enabled) || (!faceModels[2] && config.face.iris.enabled) || env.initial) {
     faceModels = await Promise.all([
@@ -80,7 +80,7 @@ export async function load(config): Promise<[unknown, GraphModel | null, GraphMo
     if (faceModels[2]) log('cached model:', faceModels[2]['modelUrl']);
   }
   facePipeline = new facepipeline.Pipeline(faceModels[0], faceModels[1], faceModels[2]);
-  return faceModels;
+  return [faceModels[0]?.model || null, faceModels[1], faceModels[2]];
 }
 
 export const triangulation = coords.TRI468;

src/blazeface/facepipeline.ts

@@ -5,6 +5,7 @@ import * as coords from './coords';
 import type { Tensor, GraphModel } from '../tfjs/types';
 import type { BlazeFaceModel } from './blazeface';
 import { env } from '../env';
+import { log } from '../helpers';
 
 const leftOutline = coords.MESH_ANNOTATIONS['leftEyeLower0'];
 const rightOutline = coords.MESH_ANNOTATIONS['rightEyeLower0'];
@@ -172,7 +173,11 @@ export class Pipeline {
     return [angle, rotationMatrix, face];
   }
 
-  async augmentIris(rawCoords, face) {
+  async augmentIris(rawCoords, face, config) {
+    if (!this.irisModel) {
+      if (config.debug) log('face mesh detection requested, but model is not loaded');
+      return rawCoords;
+    }
     const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, eyeLandmarks.leftBounds[0], eyeLandmarks.leftBounds[1], true);
     const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, eyeLandmarks.rightBounds[0], eyeLandmarks.rightBounds[1]);
     const combined = tf.concat([leftEyeCrop, rightEyeCrop]);
@@ -280,6 +285,8 @@ export class Pipeline {
           confidence: box.confidence,
           image: face,
         });
+      } else if (!this.meshDetector) {
+        if (config.debug) log('face mesh detection requested, but model is not loaded');
       } else {
         const [contours, confidence, contourCoords] = this.meshDetector.execute(face) as Array<Tensor>; // The first returned tensor represents facial contours which are already included in the coordinates.
         tf.dispose(contours);
@@ -295,7 +302,7 @@ export class Pipeline {
           box.confidence = faceConfidence; // reset confidence of cached box
           tf.dispose(face);
         } else {
-          if (config.face.iris.enabled) rawCoords = await this.augmentIris(rawCoords, face);
+          if (config.face.iris.enabled) rawCoords = await this.augmentIris(rawCoords, face, config);
 
           // override box from detection with one calculated from mesh
           const mesh = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);

src/face.ts

@@ -226,10 +226,11 @@ export const detectFace = async (parent /* instance of human */, input: Tensor):
       delete faces[i].annotations.leftEyeIris;
       delete faces[i].annotations.rightEyeIris;
     }
-    const irisSize = (faces[i].annotations?.leftEyeIris && faces[i].annotations?.rightEyeIris)
+    const irisSize = (faces[i].annotations && faces[i].annotations.leftEyeIris && faces[i].annotations.rightEyeIris
-    /* note: average human iris size is 11.7mm */
+      && (faces[i].annotations.leftEyeIris.length > 0) && (faces[i].annotations.rightEyeIris.length > 0)
+      && (faces[i].annotations.leftEyeIris[0] !== null) && (faces[i].annotations.rightEyeIris[0] !== null))
       ? Math.max(Math.abs(faces[i].annotations.leftEyeIris[3][0] - faces[i].annotations.leftEyeIris[1][0]), Math.abs(faces[i].annotations.rightEyeIris[4][1] - faces[i].annotations.rightEyeIris[2][1])) / input.shape[2]
-      : 0;
+      : 0; // note: average human iris size is 11.7mm
 
     // optionally return tensor
     const tensor = parent.config.face.detector.return ? tf.squeeze(faces[i].tensor) : null;

src/handtrack/handtrack.ts

@@ -9,9 +9,11 @@ import type { GraphModel, Tensor } from '../tfjs/types';
 import type { Config } from '../config';
 import { env } from '../env';
 import * as fingerPose from '../fingerpose/fingerpose';
+import { fakeOps } from '../tfjs/backend';
 
 const models: [GraphModel | null, GraphModel | null] = [null, null];
 const modelOutputNodes = ['StatefulPartitionedCall/Postprocessor/Slice', 'StatefulPartitionedCall/Postprocessor/ExpandDims_1'];
+
 const inputSize = [[0, 0], [0, 0]];
 
 const classes = [
@@ -55,12 +57,12 @@ const fingerMap = {
   palm: [0],
 };
 
-export async function load(config: Config): Promise<[GraphModel, GraphModel]> {
+export async function loadDetect(config: Config): Promise<GraphModel> {
-  if (env.initial) {
+  if (env.initial) models[0] = null;
-    models[0] = null;
-    models[1] = null;
-  }
   if (!models[0]) {
+    // handtrack model has some kernel ops defined in model but those are never referenced and non-existent in tfjs
+    // ideally need to prune the model itself
+    fakeOps(['tensorlistreserve', 'enter', 'tensorlistfromtensor', 'merge', 'loopcond', 'switch', 'exit', 'tensorliststack', 'nextiteration', 'tensorlistsetitem', 'tensorlistgetitem', 'reciprocal', 'shape', 'split', 'where'], config);
     models[0] = await tf.loadGraphModel(join(config.modelBasePath, config.hand.detector?.modelPath || '')) as unknown as GraphModel;
     const inputs = Object.values(models[0].modelSignature['inputs']);
     inputSize[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
@@ -68,6 +70,11 @@ export async function load(config: Config): Promise<[GraphModel, GraphModel]> {
     if (!models[0] || !models[0]['modelUrl']) log('load model failed:', config.object.modelPath);
     else if (config.debug) log('load model:', models[0]['modelUrl']);
   } else if (config.debug) log('cached model:', models[0]['modelUrl']);
+  return models[0];
+}
+
+export async function loadSkeleton(config: Config): Promise<GraphModel> {
+  if (env.initial) models[1] = null;
   if (!models[1]) {
     models[1] = await tf.loadGraphModel(join(config.modelBasePath, config.hand.skeleton?.modelPath || '')) as unknown as GraphModel;
     const inputs = Object.values(models[1].modelSignature['inputs']);
@@ -76,7 +83,13 @@ export async function load(config: Config): Promise<[GraphModel, GraphModel]> {
     if (!models[1] || !models[1]['modelUrl']) log('load model failed:', config.object.modelPath);
     else if (config.debug) log('load model:', models[1]['modelUrl']);
   } else if (config.debug) log('cached model:', models[1]['modelUrl']);
-  return models as [GraphModel, GraphModel];
+  return models[1];
+}
+
+export async function load(config: Config): Promise<[GraphModel | null, GraphModel | null]> {
+  if (!models[0]) await loadDetect(config);
+  if (!models[1]) await loadSkeleton(config);
+  return models;
 }
 
 async function detectHands(input: Tensor, config: Config): Promise<HandDetectResult[]> {
@@ -217,4 +230,20 @@ export async function predict(input: Tensor, config: Config): Promise<HandResult
 - TFJS Port: <https://github.com/victordibia/handtrack.js/>
 - Original: <https://github.com/victordibia/handtracking>
 - Writeup: <https://medium.com/@victor.dibia/how-to-build-a-real-time-hand-detector-using-neural-networks-ssd-on-tensorflow-d6bac0e4b2ce>
+- Convert:
+  tensorflowjs_converter --input_format=tf_frozen_model --output_format=tfjs_graph_model \
+  --output_node_names='num_detections,detection_boxes,detection_scores,detection_classes' --saved_model_tags=serve --quantize_uint8=* \
+  --strip_debug_ops=* --weight_shard_size_bytes=10000000000 --control_flow_v2=true frozen_inference_graph.pb graph
+
+webmodel/efficientdet512d0/base/model.json
+webmodel/centernet512fpn/base/model.json
+https://github.com/victordibia/handtrack.js/commit/70d5d9c98e69688414cddaad044bd8730bc982d1#diff-c40e819be4ec1dc29f26913f5cdeb05202261b3a1725ab259cb235ea0f0fc5d6
+
+git rev-list HEAD -- webmodel/*
+  9ba7220fb31e9168aa248500cc70800566f4c719
+  70d5d9c98e69688414cddaad044bd8730bc982d1
+
+git checkout 9ba7220fb31e9168aa248500cc70800566f4c719^ -- webmodel
+git checkout 70d5d9c98e69688414cddaad044bd8730bc982d1^ -- webmodel
+
 */

src/human.ts

@@ -29,7 +29,7 @@ import * as backend from './tfjs/backend';
 import * as humangl from './tfjs/humangl';
 import * as app from '../package.json';
 import * as warmups from './warmup';
-import type { Tensor, GraphModel } from './tfjs/types';
+import type { Tensor } from './tfjs/types';
 import type { DrawOptions } from './draw';
 
 // export types
@@ -37,6 +37,7 @@ export * from './config';
 export * from './result';
 export type { DrawOptions } from './draw';
 export { env, Env } from './env';
+export { Models } from './models';
 
 /** Defines all possible input types for **Human** detection
  * @typedef Input Type
@@ -119,23 +120,7 @@ export class Human {
   /** Currently loaded models
    * @internal
   */
-  models: {
+  models: models.Models;
-    face: [unknown, GraphModel | null, GraphModel | null] | null,
-    posenet: GraphModel | null,
-    blazepose: GraphModel | null,
-    efficientpose: GraphModel | null,
-    movenet: GraphModel | null,
-    handpose: [GraphModel | null, GraphModel | null] | null,
-    handtrack: [GraphModel | null, GraphModel | null] | null,
-    age: GraphModel | null,
-    gender: GraphModel | null,
-    emotion: GraphModel | null,
-    embedding: GraphModel | null,
-    nanodet: GraphModel | null,
-    centernet: GraphModel | null,
-    faceres: GraphModel | null,
-    segmentation: GraphModel | null,
-  };
 
   /** Container for events dispatched by Human
    *
@@ -187,23 +172,7 @@ export class Human {
     this.performance = { backend: 0, load: 0, image: 0, frames: 0, cached: 0, changed: 0, total: 0, draw: 0 };
     this.events = new EventTarget();
     // object that contains all initialized models
-    this.models = {
+    this.models = new models.Models();
-      face: null, // array of models
-      handpose: null, // array of models
-      handtrack: null, // array of models
-      posenet: null,
-      blazepose: null,
-      efficientpose: null,
-      movenet: null,
-      age: null,
-      gender: null,
-      emotion: null,
-      embedding: null,
-      nanodet: null,
-      centernet: null,
-      faceres: null,
-      segmentation: null,
-    };
     // reexport draw methods
     this.draw = {
       options: draw.options as DrawOptions,

src/models.ts

@@ -12,77 +12,72 @@ import * as movenet from './movenet/movenet';
 import * as nanodet from './object/nanodet';
 import * as centernet from './object/centernet';
 import * as segmentation from './segmentation/segmentation';
+import type { Human } from './human';
 import { env } from './env';
-// import * as agegenderrace from './gear/agegenderrace';
+import * as agegenderrace from './gear/agegenderrace';
 
-export function reset(instance) {
+/** Instances of all possible TFJS Graph Models used by Human
+ * - loaded as needed based on configuration
+ * - initialized explictly with `human.load()` method
+ * - initialized implicity on first call to `human.detect()`
+ * - each model can be `null` if not loaded, instance of `GraphModel` if loaded or `Promise` if loading
+ */
+export class Models {
+  age: null | GraphModel | Promise<GraphModel> = null;
+  agegenderrace: null | GraphModel | Promise<GraphModel> = null;
+  blazepose: null | GraphModel | Promise<GraphModel> = null;
+  centernet: null | GraphModel | Promise<GraphModel> = null;
+  efficientpose: null | GraphModel | Promise<GraphModel> = null;
+  embedding: null | GraphModel | Promise<GraphModel> = null;
+  emotion: null | GraphModel | Promise<GraphModel> = null;
+  facedetect: null | GraphModel | Promise<GraphModel> = null;
+  faceiris: null | GraphModel | Promise<GraphModel> = null;
+  facemesh: null | GraphModel | Promise<GraphModel> = null;
+  faceres: null | GraphModel | Promise<GraphModel> = null;
+  gender: null | GraphModel | Promise<GraphModel> = null;
+  handpose: null | GraphModel | Promise<GraphModel> = null;
+  handskeleton: null | GraphModel | Promise<GraphModel> = null;
+  handtrack: null | GraphModel | Promise<GraphModel> = null;
+  movenet: null | GraphModel | Promise<GraphModel> = null;
+  nanodet: null | GraphModel | Promise<GraphModel> = null;
+  posenet: null | GraphModel | Promise<GraphModel> = null;
+  segmentation: null | GraphModel | Promise<GraphModel> = null;
+}
+
+export function reset(instance: Human) {
   // if (instance.config.debug) log('resetting loaded models');
-  instance.models = {
+  for (const model of Object.keys(instance.models)) instance.models[model] = null;
-    face: null, // array of models
-    handpose: null, // array of models
-    handtrack: null, // array of models
-    posenet: null,
-    blazepose: null,
-    efficientpose: null,
-    movenet: null,
-    age: null,
-    gender: null,
-    emotion: null,
-    embedding: null,
-    nanodet: null,
-    centernet: null,
-    faceres: null,
-    segmentation: null,
-  };
 }
 
 /** Load method preloads all instance.configured models on-demand */
-export async function load(instance) {
+export async function load(instance: Human) {
   if (env.initial) reset(instance);
-  if (instance.config.async) { // load models concurrently
+  if (instance.config.face.enabled) { // face model is a combo that must be loaded as a whole
-    [
+    if (!instance.models.facedetect) [instance.models.facedetect, instance.models.facemesh, instance.models.faceiris] = await facemesh.load(instance.config);
-      instance.models.face,
+    if (instance.config.face.mesh?.enabled && !instance.models.facemesh) [instance.models.facedetect, instance.models.facemesh, instance.models.faceiris] = await facemesh.load(instance.config);
-      instance.models.emotion,
+    if (instance.config.face.iris?.enabled && !instance.models.faceiris) [instance.models.facedetect, instance.models.facemesh, instance.models.faceiris] = await facemesh.load(instance.config);
-      instance.models.handpose,
+  }
-      instance.models.handtrack,
+  if (instance.config.hand.enabled) { // handpose model is a combo that must be loaded as a whole
-      instance.models.posenet,
+    if (!instance.models.handpose && instance.config.hand.detector?.modelPath?.includes('handdetect')) [instance.models.handpose, instance.models.handskeleton] = await handpose.load(instance.config);
-      instance.models.blazepose,
+    if (!instance.models.handskeleton && instance.config.hand.landmarks && instance.config.hand.detector?.modelPath?.includes('handdetect')) [instance.models.handpose, instance.models.handskeleton] = await handpose.load(instance.config);
-      instance.models.efficientpose,
+  }
-      instance.models.movenet,
+  if (instance.config.hand.enabled && !instance.models.handtrack && instance.config.hand.detector?.modelPath?.includes('handtrack')) instance.models.handtrack = handtrack.loadDetect(instance.config);
-      instance.models.nanodet,
+  if (instance.config.hand.enabled && instance.config.hand.landmarks && !instance.models.handskeleton && instance.config.hand.detector?.modelPath?.includes('handtrack')) instance.models.handskeleton = handtrack.loadSkeleton(instance.config);
-      instance.models.centernet,
+  if (instance.config.body.enabled && !instance.models.posenet && instance.config.body?.modelPath?.includes('posenet')) instance.models.posenet = posenet.load(instance.config);
-      instance.models.faceres,
+  if (instance.config.body.enabled && !instance.models.efficientpose && instance.config.body?.modelPath?.includes('efficientpose')) instance.models.efficientpose = efficientpose.load(instance.config);
-      instance.models.segmentation,
+  if (instance.config.body.enabled && !instance.models.blazepose && instance.config.body?.modelPath?.includes('blazepose')) instance.models.blazepose = blazepose.load(instance.config);
-      // instance.models.agegenderrace,
+  if (instance.config.body.enabled && !instance.models.efficientpose && instance.config.body?.modelPath?.includes('efficientpose')) instance.models.efficientpose = blazepose.load(instance.config);
-    ] = await Promise.all([
+  if (instance.config.body.enabled && !instance.models.movenet && instance.config.body?.modelPath?.includes('movenet')) instance.models.movenet = movenet.load(instance.config);
-      instance.models.face || (instance.config.face.enabled ? facemesh.load(instance.config) : null),
+  if (instance.config.object.enabled && !instance.models.nanodet && instance.config.object?.modelPath?.includes('nanodet')) instance.models.nanodet = nanodet.load(instance.config);
-      instance.models.emotion || ((instance.config.face.enabled && instance.config.face.emotion.enabled) ? emotion.load(instance.config) : null),
+  if (instance.config.object.enabled && !instance.models.centernet && instance.config.object?.modelPath?.includes('centernet')) instance.models.centernet = centernet.load(instance.config);
-      instance.models.handpose || (instance.config.hand.enabled && instance.config.hand.detector.modelPath.includes('handdetect') ? handpose.load(instance.config) : null),
+  if (instance.config.face.enabled && instance.config.face.emotion?.enabled && !instance.models.emotion) instance.models.emotion = emotion.load(instance.config);
-      instance.models.handtrack || (instance.config.hand.enabled && instance.config.hand.detector.modelPath.includes('handtrack') ? handtrack.load(instance.config) : null),
+  if (instance.config.face.enabled && instance.config.face.description?.enabled && !instance.models.faceres) instance.models.faceres = faceres.load(instance.config);
-      instance.models.posenet || (instance.config.body.enabled && instance.config.body.modelPath.includes('posenet') ? posenet.load(instance.config) : null),
+  if (instance.config.segmentation.enabled && !instance.models.segmentation) instance.models.segmentation = segmentation.load(instance.config);
-      instance.models.blazepose || (instance.config.body.enabled && instance.config.body.modelPath.includes('blazepose') ? blazepose.load(instance.config) : null),
+  if (instance.config.face.enabled && instance.config.face['agegenderrace']?.enabled && !instance.models.agegenderrace) instance.models.agegenderrace = agegenderrace.load(instance.config);
-      instance.models.efficientpose || (instance.config.body.enabled && instance.config.body.modelPath.includes('efficientpose') ? efficientpose.load(instance.config) : null),
+
-      instance.models.movenet || (instance.config.body.enabled && instance.config.body.modelPath.includes('movenet') ? movenet.load(instance.config) : null),
+  // models are loaded in parallel asynchronously so lets wait until they are actually loaded
-      instance.models.nanodet || (instance.config.object.enabled && instance.config.object.modelPath.includes('nanodet') ? nanodet.load(instance.config) : null),
+  for await (const model of Object.keys(instance.models)) {
-      instance.models.centernet || (instance.config.object.enabled && instance.config.object.modelPath.includes('centernet') ? centernet.load(instance.config) : null),
+    if (instance.models[model] && typeof instance.models[model] !== 'undefined') instance.models[model] = await instance.models[model];
-      instance.models.faceres || ((instance.config.face.enabled && instance.config.face.description.enabled) ? faceres.load(instance.config) : null),
-      instance.models.segmentation || (instance.config.segmentation.enabled ? segmentation.load(instance.config) : null),
-      // instance.models.agegenderrace || ((instance.config.face.enabled && instance.config.face.agegenderrace.enabled) ? agegenderrace.load(instance.config) : null),
-    ]);
-  } else { // load models sequentially
-    if (instance.config.face.enabled && !instance.models.face) instance.models.face = await facemesh.load(instance.config);
-    if (instance.config.face.enabled && instance.config.face.emotion.enabled && !instance.models.emotion) instance.models.emotion = await emotion.load(instance.config);
-    if (instance.config.hand.enabled && !instance.models.handpose && instance.config.hand.detector.modelPath.includes('handdetect')) instance.models.handpose = await handpose.load(instance.config);
-    if (instance.config.hand.enabled && !instance.models.handtrack && instance.config.hand.detector.modelPath.includes('handtrack')) instance.models.handtrack = await handtrack.load(instance.config);
-    if (instance.config.body.enabled && !instance.models.posenet && instance.config.body.modelPath.includes('posenet')) instance.models.posenet = await posenet.load(instance.config);
-    if (instance.config.body.enabled && !instance.models.blazepose && instance.config.body.modelPath.includes('blazepose')) instance.models.blazepose = await blazepose.load(instance.config);
-    if (instance.config.body.enabled && !instance.models.efficientpose && instance.config.body.modelPath.includes('efficientpose')) instance.models.efficientpose = await blazepose.load(instance.config);
-    if (instance.config.body.enabled && !instance.models.movenet && instance.config.body.modelPath.includes('movenet')) instance.models.movenet = await movenet.load(instance.config);
-    if (instance.config.object.enabled && !instance.models.nanodet && instance.config.object.modelPath.includes('nanodet')) instance.models.nanodet = await nanodet.load(instance.config);
-    if (instance.config.object.enabled && !instance.models.centernet && instance.config.object.modelPath.includes('centernet')) instance.models.centernet = await centernet.load(instance.config);
-    if (instance.config.face.enabled && instance.config.face.description.enabled && !instance.models.faceres) instance.models.faceres = await faceres.load(instance.config);
-    if (instance.config.segmentation.enabled && !instance.models.segmentation) instance.models.segmentation = await segmentation.load(instance.config);
-    // if (instance.config.face.enabled && instance.config.face.agegenderrace.enabled && !instance.models.agegenderrace) instance.models.agegenderrace = await agegenderrace.load(instance.config);
   }
 }
 

src/object/centernet.ts

@@ -9,6 +9,7 @@ import type { ObjectResult } from '../result';
 import type { GraphModel, Tensor } from '../tfjs/types';
 import type { Config } from '../config';
 import { env } from '../env';
+import { fakeOps } from '../tfjs/backend';
 
 let model: GraphModel | null;
 let inputSize = 0;
@@ -18,6 +19,7 @@ let skipped = Number.MAX_SAFE_INTEGER;
 export async function load(config: Config): Promise<GraphModel> {
   if (env.initial) model = null;
   if (!model) {
+    fakeOps(['floormod'], config);
     model = await tf.loadGraphModel(join(config.modelBasePath, config.object.modelPath || '')) as unknown as GraphModel;
     const inputs = Object.values(model.modelSignature['inputs']);
     inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;

src/tfjs/backend.ts

@@ -96,3 +96,19 @@ export async function check(instance, force = false) {
   }
   return true;
 }
+
+// register fake missing tfjs ops
+export function fakeOps(kernelNames: Array<string>, config) {
+  // if (config.debug) log('registerKernel:', kernelNames);
+  for (const kernelName of kernelNames) {
+    const kernelConfig = {
+      kernelName,
+      backendName: config.backend,
+      kernelFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); },
+      // setupFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); },
+      // disposeFunc: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); },
+    };
+    tf.registerKernel(kernelConfig);
+  }
+  env.env.kernels = tf.getKernelsForBackend(tf.getBackend()).map((kernel) => kernel.kernelName.toLowerCase()); // re-scan registered ops
+}

test/build.log

@@ -1,24 +1,24 @@
-2021-09-22 19:21:14 INFO:  @vladmandic/human version 2.2.2 
+2021-09-23 14:08:34 INFO:  @vladmandic/human version 2.2.2 
-2021-09-22 19:21:14 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.5.0 
+2021-09-23 14:08:34 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.5.0 
-2021-09-22 19:21:14 INFO:  Application: {"name":"@vladmandic/human","version":"2.2.2"} 
+2021-09-23 14:08:34 INFO:  Application: {"name":"@vladmandic/human","version":"2.2.2"} 
-2021-09-22 19:21:14 INFO:  Environment: {"profile":"production","config":"build.json","tsconfig":true,"eslintrc":true,"git":true} 
+2021-09-23 14:08:34 INFO:  Environment: {"profile":"production","config":"build.json","tsconfig":true,"eslintrc":true,"git":true} 
-2021-09-22 19:21:14 INFO:  Toolchain: {"build":"0.5.3","esbuild":"0.13.0","typescript":"4.4.3","typedoc":"0.22.4","eslint":"7.32.0"} 
+2021-09-23 14:08:34 INFO:  Toolchain: {"build":"0.5.3","esbuild":"0.13.0","typescript":"4.4.3","typedoc":"0.22.4","eslint":"7.32.0"} 
-2021-09-22 19:21:14 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
+2021-09-23 14:08:34 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 
-2021-09-22 19:21:14 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} 
+2021-09-23 14:08:34 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} 
-2021-09-22 19:21:14 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":1275} 
+2021-09-23 14:08:34 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":1275} 
-2021-09-22 19:21:14 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":51,"inputBytes":496083,"outputBytes":418081} 
+2021-09-23 14:08:34 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":52,"inputBytes":500970,"outputBytes":420615} 
-2021-09-22 19:21:14 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":1283} 
+2021-09-23 14:08:34 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":1283} 
-2021-09-22 19:21:14 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":51,"inputBytes":496091,"outputBytes":418085} 
+2021-09-23 14:08:34 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":52,"inputBytes":500978,"outputBytes":420619} 
-2021-09-22 19:21:14 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":1350} 
+2021-09-23 14:08:34 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":1350} 
-2021-09-22 19:21:14 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":51,"inputBytes":496158,"outputBytes":418157} 
+2021-09-23 14:08:34 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":52,"inputBytes":501045,"outputBytes":420691} 
-2021-09-22 19:21:14 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":1631} 
+2021-09-23 14:08:34 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":1631} 
-2021-09-22 19:21:14 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":3088,"outputBytes":793} 
+2021-09-23 14:08:34 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":3088,"outputBytes":793} 
-2021-09-22 19:21:14 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":51,"inputBytes":495601,"outputBytes":419606} 
+2021-09-23 14:08:34 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":52,"inputBytes":500488,"outputBytes":422090} 
-2021-09-22 19:21:15 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":8,"inputBytes":3088,"outputBytes":2377041} 
+2021-09-23 14:08:34 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":8,"inputBytes":3088,"outputBytes":2377041} 
-2021-09-22 19:21:15 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":51,"inputBytes":2871849,"outputBytes":1415684} 
+2021-09-23 14:08:35 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":52,"inputBytes":2876736,"outputBytes":1417147} 
-2021-09-22 19:21:15 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":51,"inputBytes":2871849,"outputBytes":2624079} 
+2021-09-23 14:08:35 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":52,"inputBytes":2876736,"outputBytes":2626498} 
-2021-09-22 19:21:32 STATE: Typings: {"input":"src/human.ts","output":"types","files":96} 
+2021-09-23 14:08:51 STATE: Typings: {"input":"src/human.ts","output":"types","files":98} 
-2021-09-22 19:21:39 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":30,"generated":true} 
+2021-09-23 14:08:57 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":31,"generated":true} 
-2021-09-22 19:22:06 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":84,"errors":0,"warnings":0} 
+2021-09-23 14:09:22 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":84,"errors":0,"warnings":0} 
-2021-09-22 19:22:07 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
+2021-09-23 14:09:22 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
-2021-09-22 19:22:07 INFO:  Done... 
+2021-09-23 14:09:22 INFO:  Done... 

test/test-main.js

@@ -3,7 +3,6 @@ const process = require('process');
 const canvasJS = require('canvas');
 
 let fetch; // fetch is dynamically imported later
-let tensors = 0;
 let config;
 
 const log = (status, ...data) => {
@@ -73,10 +72,9 @@ async function testInstance(human) {
   log('info', 'tfjs version:', human.tf.version.tfjs);
 
   await human.load();
-  tensors = human.tf.engine().state.numTensors;
   if (config.backend === human.tf.getBackend()) log('state', 'passed: set backend:', config.backend);
   else log('error', 'failed: set backend:', config.backend);
-  log('state', 'tensors', tensors);
+  log('state', 'tensors', human.tf.memory().numTensors);
 
   if (human.models) {
     log('state', 'passed: load models');
@@ -107,9 +105,9 @@ async function testWarmup(human, title) {
   return warmup;
 }
 
-async function testDetect(human, input, title) {
+async function testDetect(human, input, title, checkLeak = true) {
   await human.load(config);
-  tensors = human.tf.engine().state.numTensors;
+  const tensors = human.tf.engine().state.numTensors;
   const image = input ? await getImage(human, input) : human.tf.randomNormal([1, 1024, 1024, 3]);
   if (!image) {
     log('error', 'failed: detect: input is null');
@@ -130,6 +128,11 @@ async function testDetect(human, input, title) {
   } else {
     log('error', 'failed: detect', input || 'random', title);
   }
+  // check tensor leaks
+  if (checkLeak) {
+    const leak = human.tf.engine().state.numTensors - tensors;
+    if (leak !== 0) log('error', 'failed: memory leak', leak);
+  }
   return detect;
 }
 const evt = { image: 0, detect: 0, warmup: 0 };
@@ -170,8 +173,8 @@ async function test(Human, inputConfig) {
   await human.load();
   const models = Object.keys(human.models).map((model) => ({ name: model, loaded: (human.models[model] !== null) }));
   const loaded = models.filter((model) => model.loaded);
-  if (models.length === 15 && loaded.length === 7) log('state', 'passed: models loaded', models.length, loaded.length);
+  if (models.length === 19 && loaded.length === 10) log('state', 'passed: models loaded', models);
-  else log('error', 'failed: models loaded', models.length, loaded.length);
+  else log('error', 'failed: models loaded', models);
 
   // test warmup sequences
   await testInstance(human);
@@ -315,15 +318,15 @@ async function test(Human, inputConfig) {
   // test async multiple instances
   log('info', 'test: concurrent');
   await Promise.all([
-    testDetect(human, 'samples/ai-face.jpg', 'default'),
+    testDetect(human, 'samples/ai-face.jpg', 'default', false),
-    testDetect(first, 'samples/ai-face.jpg', 'default'),
+    testDetect(first, 'samples/ai-face.jpg', 'default', false),
-    testDetect(second, 'samples/ai-face.jpg', 'default'),
+    testDetect(second, 'samples/ai-face.jpg', 'default', false),
-    testDetect(human, 'samples/ai-body.jpg', 'default'),
+    testDetect(human, 'samples/ai-body.jpg', 'default', false),
-    testDetect(first, 'samples/ai-body.jpg', 'default'),
+    testDetect(first, 'samples/ai-body.jpg', 'default', false),
-    testDetect(second, 'samples/ai-body.jpg', 'default'),
+    testDetect(second, 'samples/ai-body.jpg', 'default', false),
-    testDetect(human, 'samples/ai-upper.jpg', 'default'),
+    testDetect(human, 'samples/ai-upper.jpg', 'default', false),
-    testDetect(first, 'samples/ai-upper.jpg', 'default'),
+    testDetect(first, 'samples/ai-upper.jpg', 'default', false),
-    testDetect(second, 'samples/ai-upper.jpg', 'default'),
+    testDetect(second, 'samples/ai-upper.jpg', 'default', false),
   ]);
 
   // test monkey-patch
@@ -346,11 +349,6 @@ async function test(Human, inputConfig) {
   // tests end
   const t1 = process.hrtime.bigint();
 
-  // check tensor leaks
-  const leak = human.tf.engine().state.numTensors - tensors;
-  if (leak === 0) log('state', 'passeed: no memory leak');
-  else log('error', 'failed: memory leak', leak);
-
   // check if all instances reported same
   const tensors1 = human.tf.engine().state.numTensors;
   const tensors2 = first.tf.engine().state.numTensors;
@@ -360,6 +358,7 @@ async function test(Human, inputConfig) {
 
   // report end
   log('info', 'events:', evt);
+  log('info', 'tensors', human.tf.memory().numTensors);
   log('info', 'test complete:', Math.trunc(Number(t1 - t0) / 1000 / 1000), 'ms');
 }
 

typedoc/classes/Human.html

@@ -8,15 +8,15 @@
 </ul>
 </div><dl class="tsd-comment-tags"><dt>param userConfig:</dt><dd><p><a href="../interfaces/Config.html">Config</a></p>
 </dd><dt>returns</dt><dd><p>instance</p>
-</dd></dl></div></section><section class="tsd-panel tsd-hierarchy"><h3>Hierarchy</h3><ul class="tsd-hierarchy"><li><span class="target">Human</span></li></ul></section><section class="tsd-panel-group tsd-index-group"><h2>Index</h2><section class="tsd-panel tsd-index-panel"><div class="tsd-index-content"><section class="tsd-index-section "><h3>Constructors</h3><ul class="tsd-index-list"><li class="tsd-kind-constructor tsd-parent-kind-class"><a href="Human.html#constructor" class="tsd-kind-icon">constructor</a></li></ul></section><section class="tsd-index-section "><h3>Properties</h3><ul class="tsd-index-list"><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#config" class="tsd-kind-icon">config</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#draw" class="tsd-kind-icon">draw</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#env" class="tsd-kind-icon">env</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#events" class="tsd-kind-icon">events</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#faceTriangulation" class="tsd-kind-icon">face<wbr/>Triangulation</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#faceUVMap" class="tsd-kind-icon">faceUVMap</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#gl" class="tsd-kind-icon">gl</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#performance" class="tsd-kind-icon">performance</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#process" class="tsd-kind-icon">process</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#result" class="tsd-kind-icon">result</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#state" class="tsd-kind-icon">state</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#version" class="tsd-kind-icon">version</a></li></ul></section><section class="tsd-index-section "><h3>Methods</h3><ul class="tsd-index-list"><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#detect" class="tsd-kind-icon">detect</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#enhance" class="tsd-kind-icon">enhance</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#image" class="tsd-kind-icon">image</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#init" class="tsd-kind-icon">init</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#load" class="tsd-kind-icon">load</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#match" class="tsd-kind-icon">match</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#next" class="tsd-kind-icon">next</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#reset" class="tsd-kind-icon">reset</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#segmentation" class="tsd-kind-icon">segmentation</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#similarity" class="tsd-kind-icon">similarity</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#validate" class="tsd-kind-icon">validate</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#warmup" class="tsd-kind-icon">warmup</a></li></ul></section></div></section></section><section class="tsd-panel-group tsd-member-group "><h2>Constructors</h2><section class="tsd-panel tsd-member tsd-kind-constructor tsd-parent-kind-class"><a name="constructor" class="tsd-anchor"></a><h3>constructor</h3><ul class="tsd-signatures tsd-kind-constructor tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">new <wbr/>Human<span class="tsd-signature-symbol">(</span>userConfig<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><a href="Human.html" class="tsd-signature-type" data-tsd-kind="Class">Human</a></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L170">human.ts:170</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</dd></dl></div></section><section class="tsd-panel tsd-hierarchy"><h3>Hierarchy</h3><ul class="tsd-hierarchy"><li><span class="target">Human</span></li></ul></section><section class="tsd-panel-group tsd-index-group"><h2>Index</h2><section class="tsd-panel tsd-index-panel"><div class="tsd-index-content"><section class="tsd-index-section "><h3>Constructors</h3><ul class="tsd-index-list"><li class="tsd-kind-constructor tsd-parent-kind-class"><a href="Human.html#constructor" class="tsd-kind-icon">constructor</a></li></ul></section><section class="tsd-index-section "><h3>Properties</h3><ul class="tsd-index-list"><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#config" class="tsd-kind-icon">config</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#draw" class="tsd-kind-icon">draw</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#env" class="tsd-kind-icon">env</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#events" class="tsd-kind-icon">events</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#faceTriangulation" class="tsd-kind-icon">face<wbr/>Triangulation</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#faceUVMap" class="tsd-kind-icon">faceUVMap</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#gl" class="tsd-kind-icon">gl</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#performance" class="tsd-kind-icon">performance</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#process" class="tsd-kind-icon">process</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#result" class="tsd-kind-icon">result</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#state" class="tsd-kind-icon">state</a></li><li class="tsd-kind-property tsd-parent-kind-class"><a href="Human.html#version" class="tsd-kind-icon">version</a></li></ul></section><section class="tsd-index-section "><h3>Methods</h3><ul class="tsd-index-list"><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#detect" class="tsd-kind-icon">detect</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#enhance" class="tsd-kind-icon">enhance</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#image" class="tsd-kind-icon">image</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#init" class="tsd-kind-icon">init</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#load" class="tsd-kind-icon">load</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#match" class="tsd-kind-icon">match</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#next" class="tsd-kind-icon">next</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#reset" class="tsd-kind-icon">reset</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#segmentation" class="tsd-kind-icon">segmentation</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#similarity" class="tsd-kind-icon">similarity</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#validate" class="tsd-kind-icon">validate</a></li><li class="tsd-kind-method tsd-parent-kind-class"><a href="Human.html#warmup" class="tsd-kind-icon">warmup</a></li></ul></section></div></section></section><section class="tsd-panel-group tsd-member-group "><h2>Constructors</h2><section class="tsd-panel tsd-member tsd-kind-constructor tsd-parent-kind-class"><a name="constructor" class="tsd-anchor"></a><h3>constructor</h3><ul class="tsd-signatures tsd-kind-constructor tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">new <wbr/>Human<span class="tsd-signature-symbol">(</span>userConfig<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><a href="Human.html" class="tsd-signature-type" data-tsd-kind="Class">Human</a></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L155">human.ts:155</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Constructor for <strong>Human</strong> library that is futher used for all operations</p>
 </div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5><span class="tsd-flag ts-flagOptional">Optional</span> userConfig: <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span></h5></li></ul><h4 class="tsd-returns-title">Returns <a href="Human.html" class="tsd-signature-type" data-tsd-kind="Class">Human</a></h4><div><p>instance</p>
-</div></li></ul></section></section><section class="tsd-panel-group tsd-member-group "><h2>Properties</h2><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="config" class="tsd-anchor"></a><h3>config</h3><div class="tsd-signature tsd-kind-icon">config<span class="tsd-signature-symbol">:</span> <a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L84">human.ts:84</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></li></ul></section></section><section class="tsd-panel-group tsd-member-group "><h2>Properties</h2><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="config" class="tsd-anchor"></a><h3>config</h3><div class="tsd-signature tsd-kind-icon">config<span class="tsd-signature-symbol">:</span> <a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L85">human.ts:85</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Current configuration</p>
 <ul>
 <li>Details: <a href="../interfaces/Config.html">Config</a></li>
 </ul>
-</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="draw" class="tsd-anchor"></a><h3>draw</h3><div class="tsd-signature tsd-kind-icon">draw<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>all<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>body<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>face<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>gesture<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>hand<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>object<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>options<span class="tsd-signature-symbol">: </span><a href="../interfaces/DrawOptions.html" class="tsd-signature-type" data-tsd-kind="Interface">DrawOptions</a><span class="tsd-signature-symbol">; </span>person<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol"> }</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L117">human.ts:117</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="draw" class="tsd-anchor"></a><h3>draw</h3><div class="tsd-signature tsd-kind-icon">draw<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>all<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>body<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>face<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>gesture<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>hand<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>object<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol">; </span>options<span class="tsd-signature-symbol">: </span><a href="../interfaces/DrawOptions.html" class="tsd-signature-type" data-tsd-kind="Interface">DrawOptions</a><span class="tsd-signature-symbol">; </span>person<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol"> }</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L118">human.ts:118</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Draw helper classes that can draw detected objects on canvas using specified draw</p>
 <ul>
 <li>options: <a href="../interfaces/DrawOptions.html">DrawOptions</a> global settings for all draw operations, can be overriden for each draw method</li>
@@ -26,9 +26,9 @@
 <li>canvas: draw processed canvas which is a processed copy of the input</li>
 <li>all: meta-function that performs: canvas, face, body, hand</li>
 </ul>
-</div></div><div class="tsd-type-declaration"><h4>Type declaration</h4><ul class="tsd-parameters"><li class="tsd-parameter"><h5>all<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>body<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>face<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>gesture<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>hand<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>object<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>options<span class="tsd-signature-symbol">: </span><a href="../interfaces/DrawOptions.html" class="tsd-signature-type" data-tsd-kind="Interface">DrawOptions</a></h5></li><li class="tsd-parameter"><h5>person<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li></ul></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="env" class="tsd-anchor"></a><h3>env</h3><div class="tsd-signature tsd-kind-icon">env<span class="tsd-signature-symbol">:</span> <a href="../index.html#Env" class="tsd-signature-type" data-tsd-kind="Type alias">Env</a></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L107">human.ts:107</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div><div class="tsd-type-declaration"><h4>Type declaration</h4><ul class="tsd-parameters"><li class="tsd-parameter"><h5>all<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>body<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>face<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>gesture<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>hand<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>object<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li><li class="tsd-parameter"><h5>options<span class="tsd-signature-symbol">: </span><a href="../interfaces/DrawOptions.html" class="tsd-signature-type" data-tsd-kind="Interface">DrawOptions</a></h5></li><li class="tsd-parameter"><h5>person<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span></h5></li></ul></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="env" class="tsd-anchor"></a><h3>env</h3><div class="tsd-signature tsd-kind-icon">env<span class="tsd-signature-symbol">:</span> <a href="../index.html#Env" class="tsd-signature-type" data-tsd-kind="Type alias">Env</a></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L108">human.ts:108</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Object containing environment information used for diagnostics</p>
-</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="events" class="tsd-anchor"></a><h3>events</h3><div class="tsd-signature tsd-kind-icon">events<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">EventTarget</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L150">human.ts:150</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="events" class="tsd-anchor"></a><h3>events</h3><div class="tsd-signature tsd-kind-icon">events<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">EventTarget</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L135">human.ts:135</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Container for events dispatched by Human</p>
 </div><div><p>Possible events:</p>
 <ul>
@@ -39,30 +39,30 @@
 <li><code>warmup</code>: triggered when warmup is complete</li>
 <li><code>error</code>: triggered on some errors</li>
 </ul>
-</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="faceTriangulation" class="tsd-anchor"></a><h3>face<wbr/>Triangulation</h3><div class="tsd-signature tsd-kind-icon">face<wbr/>Triangulation<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L152">human.ts:152</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="faceTriangulation" class="tsd-anchor"></a><h3>face<wbr/>Triangulation</h3><div class="tsd-signature tsd-kind-icon">face<wbr/>Triangulation<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L137">human.ts:137</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Reference face triangualtion array of 468 points, used for triangle references between points</p>
-</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="faceUVMap" class="tsd-anchor"></a><h3>faceUVMap</h3><div class="tsd-signature tsd-kind-icon">faceUVMap<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">[]</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L154">human.ts:154</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="faceUVMap" class="tsd-anchor"></a><h3>faceUVMap</h3><div class="tsd-signature tsd-kind-icon">faceUVMap<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">[]</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L139">human.ts:139</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Refernce UV map of 468 values, used for 3D mapping of the face mesh</p>
-</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="gl" class="tsd-anchor"></a><h3>gl</h3><div class="tsd-signature tsd-kind-icon">gl<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">unknown</span><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L161">human.ts:161</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="gl" class="tsd-anchor"></a><h3>gl</h3><div class="tsd-signature tsd-kind-icon">gl<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">unknown</span><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L146">human.ts:146</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>WebGL debug info</p>
-</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="performance" class="tsd-anchor"></a><h3>performance</h3><div class="tsd-signature tsd-kind-icon">performance<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L156">human.ts:156</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="performance" class="tsd-anchor"></a><h3>performance</h3><div class="tsd-signature tsd-kind-icon">performance<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">Record</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">&gt;</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L141">human.ts:141</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Performance object that contains values for all recently performed operations</p>
-</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="process" class="tsd-anchor"></a><h3>process</h3><div class="tsd-signature tsd-kind-icon">process<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>tensor<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> }</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L98">human.ts:98</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="process" class="tsd-anchor"></a><h3>process</h3><div class="tsd-signature tsd-kind-icon">process<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>tensor<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> }</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L99">human.ts:99</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>currenty processed image tensor and canvas</p>
-</div></div><div class="tsd-type-declaration"><h4>Type declaration</h4><ul class="tsd-parameters"><li class="tsd-parameter"><h5>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span></h5></li><li class="tsd-parameter"><h5>tensor<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span></h5></li></ul></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="result" class="tsd-anchor"></a><h3>result</h3><div class="tsd-signature tsd-kind-icon">result<span class="tsd-signature-symbol">:</span> <a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L89">human.ts:89</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div><div class="tsd-type-declaration"><h4>Type declaration</h4><ul class="tsd-parameters"><li class="tsd-parameter"><h5>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span></h5></li><li class="tsd-parameter"><h5>tensor<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span></h5></li></ul></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="result" class="tsd-anchor"></a><h3>result</h3><div class="tsd-signature tsd-kind-icon">result<span class="tsd-signature-symbol">:</span> <a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L90">human.ts:90</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Last known result of detect run</p>
 <ul>
 <li>Can be accessed anytime after initial detection</li>
 </ul>
-</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="state" class="tsd-anchor"></a><h3>state</h3><div class="tsd-signature tsd-kind-icon">state<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L95">human.ts:95</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="state" class="tsd-anchor"></a><h3>state</h3><div class="tsd-signature tsd-kind-icon">state<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L96">human.ts:96</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Current state of Human library</p>
 <ul>
 <li>Can be polled to determine operations that are currently executed</li>
 <li>Progresses through: &#39;config&#39;, &#39;check&#39;, &#39;backend&#39;, &#39;load&#39;, &#39;run:<model>&#39;, &#39;idle&#39;</li>
 </ul>
-</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="version" class="tsd-anchor"></a><h3>version</h3><div class="tsd-signature tsd-kind-icon">version<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L79">human.ts:79</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="version" class="tsd-anchor"></a><h3>version</h3><div class="tsd-signature tsd-kind-icon">version<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L80">human.ts:80</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Current version of Human library in <em>semver</em> format</p>
-</div></div></section></section><section class="tsd-panel-group tsd-member-group "><h2>Methods</h2><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="detect" class="tsd-anchor"></a><h3>detect</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">detect<span class="tsd-signature-symbol">(</span>input<span class="tsd-signature-symbol">: </span><a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a>, userConfig<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><a href="../index.html#Error" class="tsd-signature-type" data-tsd-kind="Type alias">Error</a><span class="tsd-signature-symbol"> | </span><a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L410">human.ts:410</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div></section></section><section class="tsd-panel-group tsd-member-group "><h2>Methods</h2><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="detect" class="tsd-anchor"></a><h3>detect</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">detect<span class="tsd-signature-symbol">(</span>input<span class="tsd-signature-symbol">: </span><a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a>, userConfig<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><a href="../index.html#Error" class="tsd-signature-type" data-tsd-kind="Type alias">Error</a><span class="tsd-signature-symbol"> | </span><a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L379">human.ts:379</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Main detection method</p>
 <ul>
 <li>Analyze configuration: <a href="../interfaces/Config.html">Config</a></li>
@@ -71,12 +71,12 @@
 <li>Process and return result: <a href="../interfaces/Result.html">Result</a></li>
 </ul>
 </div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>input: <a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a></h5></li><li><h5><span class="tsd-flag ts-flagOptional">Optional</span> userConfig: <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span></h5></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><a href="../index.html#Error" class="tsd-signature-type" data-tsd-kind="Type alias">Error</a><span class="tsd-signature-symbol"> | </span><a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a><span class="tsd-signature-symbol">&gt;</span></h4><div><p>result: <a href="../interfaces/Result.html">Result</a></p>
-</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="enhance" class="tsd-anchor"></a><h3>enhance</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">enhance<span class="tsd-signature-symbol">(</span>input<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L310">human.ts:310</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="enhance" class="tsd-anchor"></a><h3>enhance</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">enhance<span class="tsd-signature-symbol">(</span>input<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L279">human.ts:279</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Enhance method performs additional enhacements to face image previously detected for futher processing</p>
 </div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>input: <span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span></h5></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span></h4><div><p>Tensor</p>
-</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="image" class="tsd-anchor"></a><h3>image</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">image<span class="tsd-signature-symbol">(</span>input<span class="tsd-signature-symbol">: </span><a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">{ </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>tensor<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> }</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L272">human.ts:272</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="image" class="tsd-anchor"></a><h3>image</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">image<span class="tsd-signature-symbol">(</span>input<span class="tsd-signature-symbol">: </span><a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">{ </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>tensor<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> }</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L241">human.ts:241</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Process input as return canvas and tensor</p>
-</div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>input: <a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a></h5></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-symbol">{ </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>tensor<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> }</span></h4><div></div><ul class="tsd-parameters"><li class="tsd-parameter"><h5>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span></h5></li><li class="tsd-parameter"><h5>tensor<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span></h5></li></ul></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="init" class="tsd-anchor"></a><h3>init</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">init<span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L333">human.ts:333</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>input: <a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a></h5></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-symbol">{ </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>tensor<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> }</span></h4><div></div><ul class="tsd-parameters"><li class="tsd-parameter"><h5>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span></h5></li><li class="tsd-parameter"><h5>tensor<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">Tensor</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">Rank</span><span class="tsd-signature-symbol">&gt;</span></h5></li></ul></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="init" class="tsd-anchor"></a><h3>init</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">init<span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L302">human.ts:302</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Explicit backend initialization</p>
 <ul>
 <li>Normally done implicitly during initial load phase</li>
@@ -84,22 +84,22 @@
 <li>Use when changing backend during runtime</li>
 </ul>
 </div></div><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></h4><div><p>Promise<void></p>
-</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="load" class="tsd-anchor"></a><h3>load</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">load<span class="tsd-signature-symbol">(</span>userConfig<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L345">human.ts:345</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="load" class="tsd-anchor"></a><h3>load</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">load<span class="tsd-signature-symbol">(</span>userConfig<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L314">human.ts:314</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Load method preloads all configured models on-demand</p>
 <ul>
 <li>Not explicitly required as any required model is load implicitly on it&#39;s first run</li>
 </ul>
 </div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5><span class="tsd-flag ts-flagOptional">Optional</span> userConfig: <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span></h5></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">void</span><span class="tsd-signature-symbol">&gt;</span></h4><div><p>Promise<void></p>
-</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="match" class="tsd-anchor"></a><h3>match</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">match<span class="tsd-signature-symbol">(</span>faceEmbedding<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span>, db<span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">{ </span>embedding<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">; </span>name<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>source<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">[]</span>, threshold<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">{ </span>embedding<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">; </span>name<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>similarity<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>source<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L322">human.ts:322</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="match" class="tsd-anchor"></a><h3>match</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">match<span class="tsd-signature-symbol">(</span>faceEmbedding<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span>, db<span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">{ </span>embedding<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">; </span>name<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>source<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">[]</span>, threshold<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">{ </span>embedding<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">; </span>name<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>similarity<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>source<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L291">human.ts:291</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Math method find best match between provided face descriptor and predefined database of known descriptors</p>
 </div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>faceEmbedding: <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></h5></li><li><h5>db: <span class="tsd-signature-symbol">{ </span>embedding<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">; </span>name<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>source<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">[]</span></h5></li><li><h5>threshold: <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> = 0</span></h5></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-symbol">{ </span>embedding<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">; </span>name<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>similarity<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>source<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span></h4><div><p>best match</p>
-</div><ul class="tsd-parameters"><li class="tsd-parameter"><h5>embedding<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></h5></li><li class="tsd-parameter"><h5>name<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span></h5></li><li class="tsd-parameter"><h5>similarity<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li><li class="tsd-parameter"><h5>source<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span></h5></li></ul></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="next" class="tsd-anchor"></a><h3>next</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">next<span class="tsd-signature-symbol">(</span>result<span class="tsd-signature-symbol">?: </span><a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L386">human.ts:386</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div><ul class="tsd-parameters"><li class="tsd-parameter"><h5>embedding<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></h5></li><li class="tsd-parameter"><h5>name<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span></h5></li><li class="tsd-parameter"><h5>similarity<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li><li class="tsd-parameter"><h5>source<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span></h5></li></ul></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="next" class="tsd-anchor"></a><h3>next</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">next<span class="tsd-signature-symbol">(</span>result<span class="tsd-signature-symbol">?: </span><a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L355">human.ts:355</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Runs interpolation using last known result and returns smoothened result
 Interpolation is based on time since last known result so can be called independently</p>
 </div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>result: <a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a><span class="tsd-signature-symbol"> = ...</span></h5></li></ul><h4 class="tsd-returns-title">Returns <a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a></h4><div><p>result: <a href="../interfaces/Result.html">Result</a></p>
-</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="reset" class="tsd-anchor"></a><h3>reset</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">reset<span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">void</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L258">human.ts:258</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="reset" class="tsd-anchor"></a><h3>reset</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">reset<span class="tsd-signature-symbol">(</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">void</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L227">human.ts:227</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Reset configuration to default values</p>
-</div></div><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="segmentation" class="tsd-anchor"></a><h3>segmentation</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">segmentation<span class="tsd-signature-symbol">(</span>input<span class="tsd-signature-symbol">: </span><a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a>, background<span class="tsd-signature-symbol">?: </span><a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-symbol">{ </span>alpha<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>data<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L300">human.ts:300</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="segmentation" class="tsd-anchor"></a><h3>segmentation</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">segmentation<span class="tsd-signature-symbol">(</span>input<span class="tsd-signature-symbol">: </span><a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a>, background<span class="tsd-signature-symbol">?: </span><a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-symbol">{ </span>alpha<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>data<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L269">human.ts:269</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Segmentation method takes any input and returns processed canvas with body segmentation</p>
 <ul>
 <li>Optional parameter background is used to fill the background with specific input</li>
@@ -111,16 +111,16 @@ Interpolation is based on time since last known result so can be called independ
 <li><code>canvas</code> as canvas which is input image filtered with segementation data and optionally merged with background image. canvas alpha values are set to segmentation values for easy merging</li>
 <li><code>alpha</code> as grayscale canvas that represents segmentation alpha values</li>
 </ul>
-</div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>input: <a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a></h5></li><li><h5><span class="tsd-flag ts-flagOptional">Optional</span> background: <a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a></h5></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-symbol">{ </span>alpha<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>data<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">&gt;</span></h4><div></div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="similarity" class="tsd-anchor"></a><h3>similarity</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">similarity<span class="tsd-signature-symbol">(</span>embedding1<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span>, embedding2<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L283">human.ts:283</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>input: <a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a></h5></li><li><h5><span class="tsd-flag ts-flagOptional">Optional</span> background: <a href="../index.html#Input" class="tsd-signature-type" data-tsd-kind="Type alias">Input</a></h5></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-symbol">{ </span>alpha<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>canvas<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">null</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">OffscreenCanvas</span><span class="tsd-signature-symbol">; </span>data<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">&gt;</span></h4><div></div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="similarity" class="tsd-anchor"></a><h3>similarity</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">similarity<span class="tsd-signature-symbol">(</span>embedding1<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span>, embedding2<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L252">human.ts:252</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Simmilarity method calculates simmilarity between two provided face descriptors (face embeddings)</p>
 <ul>
 <li>Calculation is based on normalized Minkowski distance between two descriptors</li>
 <li>Default is Euclidean distance which is Minkowski distance of 2nd order</li>
 </ul>
 </div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>embedding1: <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></h5></li><li><h5>embedding2: <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></h5></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4><div><p>similarity: number</p>
-</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="validate" class="tsd-anchor"></a><h3>validate</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">validate<span class="tsd-signature-symbol">(</span>userConfig<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">{ </span>expected<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>reason<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>where<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">[]</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L265">human.ts:265</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="validate" class="tsd-anchor"></a><h3>validate</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">validate<span class="tsd-signature-symbol">(</span>userConfig<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">{ </span>expected<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>reason<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>where<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">[]</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L234">human.ts:234</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Validate current configuration schema</p>
-</div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5><span class="tsd-flag ts-flagOptional">Optional</span> userConfig: <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span></h5></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-symbol">{ </span>expected<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>reason<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>where<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">[]</span></h4></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="warmup" class="tsd-anchor"></a><h3>warmup</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">warmup<span class="tsd-signature-symbol">(</span>userConfig<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-symbol">{ </span>error<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L396">human.ts:396</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
+</div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5><span class="tsd-flag ts-flagOptional">Optional</span> userConfig: <span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span></h5></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-symbol">{ </span>expected<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>reason<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>where<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">[]</span></h4></li></ul></section><section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a name="warmup" class="tsd-anchor"></a><h3>warmup</h3><ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon">warmup<span class="tsd-signature-symbol">(</span>userConfig<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-type">Partial</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Config.html" class="tsd-signature-type" data-tsd-kind="Interface">Config</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">)</span><span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><a href="../interfaces/Result.html" class="tsd-signature-type" data-tsd-kind="Interface">Result</a><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-symbol">{ </span>error<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">any</span><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">&gt;</span></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L365">human.ts:365</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
 <p>Warmup method pre-initializes all configured models for faster inference</p>
 <ul>
 <li>can take significant time on startup</li>

types/src/blazeface/facemesh.d.ts

@@ -5,7 +5,7 @@ import type { GraphModel, Tensor } from '../tfjs/types';
 import type { FaceResult } from '../result';
 import type { Config } from '../config';
 export declare function predict(input: Tensor, config: Config): Promise<FaceResult[]>;
-export declare function load(config: any): Promise<[unknown, GraphModel | null, GraphModel | null]>;
+export declare function load(config: any): Promise<[GraphModel | null, GraphModel | null, GraphModel | null]>;
 export declare const triangulation: number[];
 export declare const uvmap: number[][];
 //# sourceMappingURL=facemesh.d.ts.map

types/src/blazeface/facemesh.d.ts.map

@@ -1 +1 @@
-{"version":3,"file":"facemesh.d.ts","sourceRoot":"","sources":["../../../src/blazeface/facemesh.ts"],"names":[],"mappings":"AAAA;;GAEG;AAOH,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,EAAE,MAAM,eAAe,CAAC;AACxD,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,WAAW,CAAC;AAC5C,OAAO,KAAK,EAAE,MAAM,EAAE,MAAM,WAAW,CAAC;AAMxC,wBAAsB,OAAO,CAAC,KAAK,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,GAAG,OAAO,CAAC,UAAU,EAAE,CAAC,CAyClF;AAED,wBAAsB,IAAI,CAAC,MAAM,KAAA,GAAG,OAAO,CAAC,CAAC,OAAO,EAAE,UAAU,GAAG,IAAI,EAAE,UAAU,GAAG,IAAI,CAAC,CAAC,CAuB3F;AAED,eAAO,MAAM,aAAa,UAAgB,CAAC;AAC3C,eAAO,MAAM,KAAK,YAAe,CAAC"}
+{"version":3,"file":"facemesh.d.ts","sourceRoot":"","sources":["../../../src/blazeface/facemesh.ts"],"names":[],"mappings":"AAAA;;GAEG;AAOH,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,EAAE,MAAM,eAAe,CAAC;AACxD,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,WAAW,CAAC;AAC5C,OAAO,KAAK,EAAE,MAAM,EAAE,MAAM,WAAW,CAAC;AAMxC,wBAAsB,OAAO,CAAC,KAAK,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,GAAG,OAAO,CAAC,UAAU,EAAE,CAAC,CAyClF;AAED,wBAAsB,IAAI,CAAC,MAAM,KAAA,GAAG,OAAO,CAAC,CAAC,UAAU,GAAG,IAAI,EAAE,UAAU,GAAG,IAAI,EAAE,UAAU,GAAG,IAAI,CAAC,CAAC,CAuBrG;AAED,eAAO,MAAM,aAAa,UAAgB,CAAC;AAC3C,eAAO,MAAM,KAAK,YAAe,CAAC"}

types/src/blazeface/facepipeline.d.ts

@@ -35,7 +35,7 @@ export declare class Pipeline {
     };
     getAdjustedIrisCoords(rawCoords: any, irisCoords: any, direction: any): any;
     correctFaceRotation(config: any, box: any, input: any): any[];
-    augmentIris(rawCoords: any, face: any): Promise<any>;
+    augmentIris(rawCoords: any, face: any, config: any): Promise<any>;
     predict(input: any, config: any): Promise<{
         mesh: any;
         box: any;

types/src/blazeface/facepipeline.d.ts.map

@@ -1 +1 @@
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+{"version":3,"file":"facepipeline.d.ts","sourceRoot":"","sources":["../../../src/blazeface/facepipeline.ts"],"names":[],"mappings":"AAIA,OAAO,KAAK,EAAU,UAAU,EAAE,MAAM,eAAe,CAAC;AACxD,OAAO,KAAK,EAAE,cAAc,EAAE,MAAM,aAAa,CAAC;AAqDlD,qBAAa,QAAQ;IACnB,WAAW,EAAE,KAAK,CAAC;QAAE,UAAU,EAAE,MAAM,EAAE,CAAC;QAAC,QAAQ,EAAE,MAAM,EAAE,CAAC;QAAC,SAAS,EAAE,KAAK,CAAC,MAAM,CAAC,CAAC;QAAC,UAAU,EAAE,MAAM,CAAC;QAAC,cAAc,CAAC,EAAE,MAAM,GAAG,SAAS,CAAA;KAAE,CAAC,CAAC;IACpJ,mBAAmB,EAAE,cAAc,CAAC;IACpC,YAAY,EAAE,UAAU,CAAC;IACzB,SAAS,EAAE,UAAU,CAAC;IACtB,OAAO,EAAE,MAAM,CAAC;IAChB,QAAQ,EAAE,MAAM,CAAC;IACjB,QAAQ,EAAE,MAAM,CAAC;IACjB,WAAW,EAAE,MAAM,CAAC;IACpB,OAAO,EAAE,MAAM,CAAC;IAChB,aAAa,EAAE,MAAM,CAAC;gBAEV,mBAAmB,KAAA,EAAE,YAAY,KAAA,EAAE,SAAS,KAAA;IAcxD,kBAAkB,CAAC,SAAS,KAAA,EAAE,GAAG,KAAA,EAAE,KAAK,KAAA,EAAE,cAAc,KAAA;IAmBxD,gCAAgC,CAAC,SAAS,KAAA;IAO1C,SAAS,CAAC,SAAS,KAAA,EAAE,IAAI,KAAA,EAAE,mBAAmB,KAAA,EAAE,mBAAmB,KAAA,EAAE,IAAI,UAAQ;;;;;;;;;IAiBjF,YAAY,CAAC,OAAO,KAAA,EAAE,MAAM,KAAA,EAAE,UAAU,KAAA,EAAE,IAAI,UAAQ;;;;IAgBtD,qBAAqB,CAAC,SAAS,KAAA,EAAE,UAAU,KAAA,EAAE,SAAS,KAAA;IAgBtD,mBAAmB,CAAC,MAAM,KAAA,EAAE,GAAG,KAAA,EAAE,KAAK,KAAA;IAgBhC,WAAW,CAAC,SAAS,KAAA,EAAE,IAAI,KAAA,EAAE,MAAM,KAAA;IAmCnC,OAAO,CAAC,KAAK,KAAA,EAAE,MAAM,KAAA;;;;;;;;CAiI5B"}

types/src/face.d.ts.map

@@ -1 +1 @@
-{"version":3,"file":"face.d.ts","sourceRoot":"","sources":["../../src/face.ts"],"names":[],"mappings":"AAAA;;;GAGG;AAOH,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,UAAU,CAAC;AAC3C,OAAO,KAAK,EAAE,MAAM,EAAE,MAAM,cAAc,CAAC;AAwI3C,eAAO,MAAM,UAAU,uBAAiD,MAAM,KAAG,QAAQ,UAAU,EAAE,CAmHpG,CAAC"}
+{"version":3,"file":"face.d.ts","sourceRoot":"","sources":["../../src/face.ts"],"names":[],"mappings":"AAAA;;;GAGG;AAOH,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,UAAU,CAAC;AAC3C,OAAO,KAAK,EAAE,MAAM,EAAE,MAAM,cAAc,CAAC;AAwI3C,eAAO,MAAM,UAAU,uBAAiD,MAAM,KAAG,QAAQ,UAAU,EAAE,CAoHpG,CAAC"}

types/src/gear/agegenderrace.d.ts

@@ -0,0 +1,9 @@
+/**
+ * Module that analyzes person age
+ * Obsolete
+ */
+import type { Config } from '../config';
+import type { GraphModel, Tensor } from '../tfjs/types';
+export declare function load(config: Config | any): Promise<GraphModel>;
+export declare function predict(image: Tensor, config: Config): Promise<unknown>;
+//# sourceMappingURL=agegenderrace.d.ts.map

types/src/gear/agegenderrace.d.ts.map

@@ -0,0 +1 @@
+{"version":3,"file":"agegenderrace.d.ts","sourceRoot":"","sources":["../../../src/gear/agegenderrace.ts"],"names":[],"mappings":"AAAA;;;GAGG;AAsBH,OAAO,KAAK,EAAE,MAAM,EAAE,MAAM,WAAW,CAAC;AACxC,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,EAAE,MAAM,eAAe,CAAC;AASxD,wBAAsB,IAAI,CAAC,MAAM,EAAE,MAAM,GAAG,GAAG,uBAQ9C;AAGD,wBAAsB,OAAO,CAAC,KAAK,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,oBA0C1D"}

types/src/handtrack/handtrack.d.ts

@@ -4,6 +4,8 @@
 import type { HandResult } from '../result';
 import type { GraphModel, Tensor } from '../tfjs/types';
 import type { Config } from '../config';
-export declare function load(config: Config): Promise<[GraphModel, GraphModel]>;
+export declare function loadDetect(config: Config): Promise<GraphModel>;
+export declare function loadSkeleton(config: Config): Promise<GraphModel>;
+export declare function load(config: Config): Promise<[GraphModel | null, GraphModel | null]>;
 export declare function predict(input: Tensor, config: Config): Promise<HandResult[]>;
 //# sourceMappingURL=handtrack.d.ts.map

types/src/handtrack/handtrack.d.ts.map

@@ -1 +1 @@
-{"version":3,"file":"handtrack.d.ts","sourceRoot":"","sources":["../../../src/handtrack/handtrack.ts"],"names":[],"mappings":"AAAA;;GAEG;AAIH,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,WAAW,CAAC;AAC5C,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,EAAE,MAAM,eAAe,CAAC;AACxD,OAAO,KAAK,EAAE,MAAM,EAAE,MAAM,WAAW,CAAC;AAiDxC,wBAAsB,IAAI,CAAC,MAAM,EAAE,MAAM,GAAG,OAAO,CAAC,CAAC,UAAU,EAAE,UAAU,CAAC,CAAC,CAsB5E;AA+GD,wBAAsB,OAAO,CAAC,KAAK,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,GAAG,OAAO,CAAC,UAAU,EAAE,CAAC,CAsBlF"}
+{"version":3,"file":"handtrack.d.ts","sourceRoot":"","sources":["../../../src/handtrack/handtrack.ts"],"names":[],"mappings":"AAAA;;GAEG;AAIH,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,WAAW,CAAC;AAC5C,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,EAAE,MAAM,eAAe,CAAC;AACxD,OAAO,KAAK,EAAE,MAAM,EAAE,MAAM,WAAW,CAAC;AAmDxC,wBAAsB,UAAU,CAAC,MAAM,EAAE,MAAM,GAAG,OAAO,CAAC,UAAU,CAAC,CAcpE;AAED,wBAAsB,YAAY,CAAC,MAAM,EAAE,MAAM,GAAG,OAAO,CAAC,UAAU,CAAC,CAWtE;AAED,wBAAsB,IAAI,CAAC,MAAM,EAAE,MAAM,GAAG,OAAO,CAAC,CAAC,UAAU,GAAG,IAAI,EAAE,UAAU,GAAG,IAAI,CAAC,CAAC,CAI1F;AA+GD,wBAAsB,OAAO,CAAC,KAAK,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,GAAG,OAAO,CAAC,UAAU,EAAE,CAAC,CAsBlF"}

types/src/human.d.ts

@@ -4,14 +4,16 @@
 import { Config } from './config';
 import type { Result } from './result';
 import * as tf from '../dist/tfjs.esm.js';
+import * as models from './models';
 import * as facemesh from './blazeface/facemesh';
 import * as env from './env';
-import type { Tensor, GraphModel } from './tfjs/types';
+import type { Tensor } from './tfjs/types';
 import type { DrawOptions } from './draw';
 export * from './config';
 export * from './result';
 export type { DrawOptions } from './draw';
 export { env, Env } from './env';
+export { Models } from './models';
 /** Defines all possible input types for **Human** detection
  * @typedef Input Type
  */
@@ -97,23 +99,7 @@ export declare class Human {
     /** Currently loaded models
      * @internal
     */
-    models: {
+    models: models.Models;
-        face: [unknown, GraphModel | null, GraphModel | null] | null;
-        posenet: GraphModel | null;
-        blazepose: GraphModel | null;
-        efficientpose: GraphModel | null;
-        movenet: GraphModel | null;
-        handpose: [GraphModel | null, GraphModel | null] | null;
-        handtrack: [GraphModel | null, GraphModel | null] | null;
-        age: GraphModel | null;
-        gender: GraphModel | null;
-        emotion: GraphModel | null;
-        embedding: GraphModel | null;
-        nanodet: GraphModel | null;
-        centernet: GraphModel | null;
-        faceres: GraphModel | null;
-        segmentation: GraphModel | null;
-    };
     /** Container for events dispatched by Human
      *
      * Possible events:

types/src/human.d.ts.map

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types/src/models.d.ts

@@ -1,5 +1,34 @@
-export declare function reset(instance: any): void;
+import type { GraphModel } from './tfjs/types';
+import type { Human } from './human';
+/** Instances of all possible TFJS Graph Models used by Human
+ * - loaded as needed based on configuration
+ * - initialized explictly with `human.load()` method
+ * - initialized implicity on first call to `human.detect()`
+ * - each model can be `null` if not loaded, instance of `GraphModel` if loaded or `Promise` if loading
+ */
+export declare class Models {
+    age: null | GraphModel | Promise<GraphModel>;
+    agegenderrace: null | GraphModel | Promise<GraphModel>;
+    blazepose: null | GraphModel | Promise<GraphModel>;
+    centernet: null | GraphModel | Promise<GraphModel>;
+    efficientpose: null | GraphModel | Promise<GraphModel>;
+    embedding: null | GraphModel | Promise<GraphModel>;
+    emotion: null | GraphModel | Promise<GraphModel>;
+    facedetect: null | GraphModel | Promise<GraphModel>;
+    faceiris: null | GraphModel | Promise<GraphModel>;
+    facemesh: null | GraphModel | Promise<GraphModel>;
+    faceres: null | GraphModel | Promise<GraphModel>;
+    gender: null | GraphModel | Promise<GraphModel>;
+    handpose: null | GraphModel | Promise<GraphModel>;
+    handskeleton: null | GraphModel | Promise<GraphModel>;
+    handtrack: null | GraphModel | Promise<GraphModel>;
+    movenet: null | GraphModel | Promise<GraphModel>;
+    nanodet: null | GraphModel | Promise<GraphModel>;
+    posenet: null | GraphModel | Promise<GraphModel>;
+    segmentation: null | GraphModel | Promise<GraphModel>;
+}
+export declare function reset(instance: Human): void;
 /** Load method preloads all instance.configured models on-demand */
-export declare function load(instance: any): Promise<void>;
+export declare function load(instance: Human): Promise<void>;
 export declare function validate(instance: any): Promise<void>;
 //# sourceMappingURL=models.d.ts.map

types/src/models.d.ts.map

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types/src/object/centernet.d.ts.map

@@ -1 +1 @@
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+{"version":3,"file":"centernet.d.ts","sourceRoot":"","sources":["../../../src/object/centernet.ts"],"names":[],"mappings":"AAAA;;GAEG;AAKH,OAAO,KAAK,EAAE,YAAY,EAAE,MAAM,WAAW,CAAC;AAC9C,OAAO,KAAK,EAAE,UAAU,EAAE,MAAM,EAAE,MAAM,eAAe,CAAC;AACxD,OAAO,KAAK,EAAE,MAAM,EAAE,MAAM,WAAW,CAAC;AASxC,wBAAsB,IAAI,CAAC,MAAM,EAAE,MAAM,GAAG,OAAO,CAAC,UAAU,CAAC,CAW9D;AAgDD,wBAAsB,OAAO,CAAC,KAAK,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,GAAG,OAAO,CAAC,YAAY,EAAE,CAAC,CAkBpF"}

types/src/tfjs/backend.d.ts

@@ -1,2 +1,3 @@
 export declare function check(instance: any, force?: boolean): Promise<boolean>;
+export declare function fakeOps(kernelNames: Array<string>, config: any): void;
 //# sourceMappingURL=backend.d.ts.map

types/src/tfjs/backend.d.ts.map

@@ -1 +1 @@
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+{"version":3,"file":"backend.d.ts","sourceRoot":"","sources":["../../../src/tfjs/backend.ts"],"names":[],"mappings":"AAKA,wBAAsB,KAAK,CAAC,QAAQ,KAAA,EAAE,KAAK,UAAQ,oBA4FlD;AAGD,wBAAgB,OAAO,CAAC,WAAW,EAAE,KAAK,CAAC,MAAM,CAAC,EAAE,MAAM,KAAA,QAazD"}