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human
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add blazepose v2 and add annotations to body results

pull/193/head
Vladimir Mandic 2021-10-04 16:29:15 -04:00
parent 3e1160237e
commit 3e53ba4726
47 changed files with 63190 additions and 5069 deletions
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3
CHANGELOG.md
View File

@ -9,8 +9,9 @@
## Changelog ## Changelog
### **HEAD -> main** 2021/10/02 mandic00@live.com ### **HEAD -> main** 2021/10/03 mandic00@live.com
- added docker notes
- breaking change: new similarity and match methods - breaking change: new similarity and match methods
- release candidate - release candidate
- tweaked default values - tweaked default values

9
demo/index.js
View File

@ -31,6 +31,13 @@ import jsonView from './helpers/jsonview.js';
let human; let human;
let userConfig = { let userConfig = {
face: { enabled: false },
object: { enabled: false },
gesture: { enabled: true },
hand: { enabled: false },
body: { enabled: true, modelPath: 'https://vladmandic.github.io/human-models/models/blazepose-lite.json' },
segmentation: { enabled: false },
/* /*
warmup: 'none', warmup: 'none',
backend: 'humangl', backend: 'humangl',
@ -108,7 +115,7 @@ const ui = {
lastFrame: 0, // time of last frame processing lastFrame: 0, // time of last frame processing
viewportSet: false, // internal, has custom viewport been set viewportSet: false, // internal, has custom viewport been set
background: null, // holds instance of segmentation background image background: null, // holds instance of segmentation background image
exceptionHandler: true, // should capture all unhandled exceptions exceptionHandler: false, // should capture all unhandled exceptions
// webrtc // webrtc
useWebRTC: false, // use webrtc as camera source instead of local webcam useWebRTC: false, // use webrtc as camera source instead of local webcam

530
dist/human.esm-nobundle.js vendored
View File

@ -173,7 +173,7 @@ var config = {
}, },
maxDetected: -1, maxDetected: -1,
minConfidence: 0.2, minConfidence: 0.2,
skipFrames: 1 skipFrames: 5
}, },
hand: { hand: {
enabled: true, enabled: true,
@ -1177,6 +1177,8 @@ function process2(input, config3) {
tempCanvas.height = targetHeight; tempCanvas.height = targetHeight;
const tempCtx = tempCanvas.getContext("2d"); const tempCtx = tempCanvas.getContext("2d");
tempCtx == null ? void 0 : tempCtx.drawImage(outCanvas, 0, 0); tempCtx == null ? void 0 : tempCtx.drawImage(outCanvas, 0, 0);
console.log("PIXELS", tempCanvas);
pixels = tfjs_esm_exports.browser && env2.browser ? tfjs_esm_exports.browser.fromPixels(tempCanvas) : null;
try { try {
pixels = tfjs_esm_exports.browser && env2.browser ? tfjs_esm_exports.browser.fromPixels(tempCanvas) : null; pixels = tfjs_esm_exports.browser && env2.browser ? tfjs_esm_exports.browser.fromPixels(tempCanvas) : null;
} catch (err) { } catch (err) {
@ -8732,11 +8734,11 @@ var HandPipeline = class {
const rawCoords = await keypointsReshaped.array(); const rawCoords = await keypointsReshaped.array();
tfjs_esm_exports.dispose(keypoints3); tfjs_esm_exports.dispose(keypoints3);
tfjs_esm_exports.dispose(keypointsReshaped); tfjs_esm_exports.dispose(keypointsReshaped);
const coords4 = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix); const coords7 = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);
const nextBoundingBox = this.getBoxForHandLandmarks(coords4); const nextBoundingBox = this.getBoxForHandLandmarks(coords7);
this.storedBoxes[i] = { ...nextBoundingBox, confidence }; this.storedBoxes[i] = { ...nextBoundingBox, confidence };
const result = { const result = {
landmarks: coords4, landmarks: coords7,
confidence, confidence,
boxConfidence: currentBox.confidence, boxConfidence: currentBox.confidence,
fingerConfidence: confidence, fingerConfidence: confidence,
@ -9163,10 +9165,10 @@ async function predict5(input, config3) {
return []; return [];
const hands = []; const hands = [];
for (let i = 0; i < predictions.length; i++) { for (let i = 0; i < predictions.length; i++) {
const annotations3 = {}; const annotations2 = {};
if (predictions[i].landmarks) { if (predictions[i].landmarks) {
for (const key of Object.keys(meshAnnotations2)) { for (const key of Object.keys(meshAnnotations2)) {
annotations3[key] = meshAnnotations2[key].map((index) => predictions[i].landmarks[index]); annotations2[key] = meshAnnotations2[key].map((index) => predictions[i].landmarks[index]);
} }
} }
const keypoints3 = predictions[i].landmarks; const keypoints3 = predictions[i].landmarks;
@ -9210,7 +9212,7 @@ async function predict5(input, config3) {
box: box4, box: box4,
boxRaw: boxRaw2, boxRaw: boxRaw2,
keypoints: keypoints3, keypoints: keypoints3,
annotations: annotations3, annotations: annotations2,
landmarks landmarks
}); });
} }
@ -9249,9 +9251,9 @@ async function load7(config3) {
} }
// src/util/box.ts // src/util/box.ts
function scale(keypoints3, boxScaleFact2, outputSize3) { function scale(keypoints3, boxScaleFact2, outputSize2) {
const coords4 = [keypoints3.map((pt) => pt[0]), keypoints3.map((pt) => pt[1])]; const coords7 = [keypoints3.map((pt) => pt[0]), keypoints3.map((pt) => pt[1])];
const maxmin = [Math.max(...coords4[0]), Math.min(...coords4[0]), Math.max(...coords4[1]), Math.min(...coords4[1])]; const maxmin = [Math.max(...coords7[0]), Math.min(...coords7[0]), Math.max(...coords7[1]), Math.min(...coords7[1])];
const center = [(maxmin[0] + maxmin[1]) / 2, (maxmin[2] + maxmin[3]) / 2]; const center = [(maxmin[0] + maxmin[1]) / 2, (maxmin[2] + maxmin[3]) / 2];
const diff = Math.max(center[0] - maxmin[1], center[1] - maxmin[3], -center[0] + maxmin[0], -center[1] + maxmin[2]) * boxScaleFact2; const diff = Math.max(center[0] - maxmin[1], center[1] - maxmin[3], -center[0] + maxmin[0], -center[1] + maxmin[2]) * boxScaleFact2;
const box4 = [ const box4 = [
@ -9261,10 +9263,10 @@ function scale(keypoints3, boxScaleFact2, outputSize3) {
Math.trunc(2 * diff) Math.trunc(2 * diff)
]; ];
const boxRaw2 = [ const boxRaw2 = [
box4[0] / outputSize3[0], box4[0] / outputSize2[0],
box4[1] / outputSize3[1], box4[1] / outputSize2[1],
box4[2] / outputSize3[0], box4[2] / outputSize2[0],
box4[3] / outputSize3[1] box4[3] / outputSize2[1]
]; ];
const yxBox = [ const yxBox = [
boxRaw2[1], boxRaw2[1],
@ -9452,8 +9454,17 @@ async function predict6(input, config3) {
return hands; return hands;
} }
// src/body/annotations.ts // src/body/blazepose.ts
var full = [ import {
dispose as dispose12,
div as div8,
image as image13,
loadGraphModel as loadGraphModel9,
pad
} from "@tensorflow/tfjs";
// src/body/blazeposecoords.ts
var kpt = [
"nose", "nose",
"leftEyeInside", "leftEyeInside",
"leftEye", "leftEye",
@ -9487,58 +9498,38 @@ var full = [
"rightHeel", "rightHeel",
"leftFoot", "leftFoot",
"rightFoot", "rightFoot",
"midHip", "bodyCenter",
"forehead", "bodyTop",
"leftThumb", "leftThumb",
"leftHand", "leftHand",
"rightThumb", "rightThumb",
"rightHand" "rightHand"
]; ];
var upper = [ var connected = {
"nose", leftLeg: ["leftHip", "leftKnee", "leftAnkle", "leftHeel", "leftFoot"],
"leftEyeInside", rightLeg: ["rightHip", "rightKnee", "rightAnkle", "rightHeel", "rightFoot"],
"leftEye", torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
"leftEyeOutside", leftArm: ["leftShoulder", "leftElbow", "leftWrist", "leftPalm"],
"rightEyeInside", rightArm: ["rightShoulder", "rightElbow", "rightWrist", "rightPalm"],
"rightEye", leftHand: [],
"rightEyeOutside", rightHand: [],
"leftEar", head: []
"rightEar", };
"leftMouth",
"rightMouth",
"leftShoulder",
"rightShoulder",
"leftElbow",
"rightElbow",
"left:15",
"right:16",
"left:17",
"right:18",
"left:19",
"right:20",
"left:21",
"right:22",
"leftChest",
"rightChest",
"neck",
"forehead",
"left:27",
"right:28",
"left:29",
"right:30"
];
// src/body/blazepose.ts // src/body/blazepose.ts
var env3 = { initial: true };
var models2 = [null, null]; var models2 = [null, null];
var outputNodes = ["ld_3d", "activation_segmentation", "activation_heatmap", "world_3d", "output_poseflag"];
var inputSize5 = [[0, 0], [0, 0]]; var inputSize5 = [[0, 0], [0, 0]];
var outputSize2 = [0, 0]; var skipped5 = Number.MAX_SAFE_INTEGER;
var outputNodes;
var cache2 = null;
var padding = [[0, 0], [0, 0], [0, 0], [0, 0]];
async function loadDetect2(config3) { async function loadDetect2(config3) {
var _a; var _a, _b;
if (env2.initial) if (env3.initial)
models2[0] = null; models2[0] = null;
if (!models2[0]) { if (!models2[0] && ((_a = config3.body.detector) == null ? void 0 : _a.modelPath) || "") {
models2[0] = await tfjs_esm_exports.loadGraphModel(join(config3.modelBasePath, ((_a = config3.body.detector) == null ? void 0 : _a.modelPath) || "")); models2[0] = await loadGraphModel9(join(config3.modelBasePath, ((_b = config3.body.detector) == null ? void 0 : _b.modelPath) || ""));
const inputs = Object.values(models2[0].modelSignature["inputs"]); const inputs = Object.values(models2[0].modelSignature["inputs"]);
inputSize5[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; inputSize5[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
inputSize5[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; inputSize5[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
@ -9546,18 +9537,23 @@ async function loadDetect2(config3) {
log("load model failed:", config3.object.modelPath); log("load model failed:", config3.object.modelPath);
else if (config3.debug) else if (config3.debug)
log("load model:", models2[0]["modelUrl"]); log("load model:", models2[0]["modelUrl"]);
} else if (config3.debug) } else if (config3.debug && models2[0])
log("cached model:", models2[0]["modelUrl"]); log("cached model:", models2[0]["modelUrl"]);
return models2[0]; return models2[0];
} }
async function loadPose(config3) { async function loadPose(config3) {
if (env2.initial) var _a;
if (env3.initial)
models2[1] = null; models2[1] = null;
if (!models2[1]) { if (!models2[1]) {
models2[1] = await tfjs_esm_exports.loadGraphModel(join(config3.modelBasePath, config3.body.modelPath || "")); models2[1] = await loadGraphModel9(join(config3.modelBasePath, config3.body.modelPath || ""));
const inputs = Object.values(models2[1].modelSignature["inputs"]); const inputs = Object.values(models2[1].modelSignature["inputs"]);
inputSize5[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; inputSize5[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
inputSize5[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; inputSize5[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
if ((_a = config3.body.modelPath) == null ? void 0 : _a.includes("lite"))
outputNodes = ["ld_3d", "output_segmentation", "output_heatmap", "world_3d", "output_poseflag"];
else
outputNodes = ["Identity", "Identity_2", "Identity_3", "Identity_4", "Identity_1"];
if (!models2[1] || !models2[1]["modelUrl"]) if (!models2[1] || !models2[1]["modelUrl"])
log("load model failed:", config3.object.modelPath); log("load model failed:", config3.object.modelPath);
else if (config3.debug) else if (config3.debug)
@ -9566,63 +9562,125 @@ async function loadPose(config3) {
log("cached model:", models2[1]["modelUrl"]); log("cached model:", models2[1]["modelUrl"]);
return models2[1]; return models2[1];
} }
async function detectParts(input, config3) { function calculateBoxes(keypoints3, outputSize2) {
var _a;
const t = {};
t.resize = tfjs_esm_exports.image.resizeBilinear(input, [inputSize5[1][0], inputSize5[1][1]]);
[t.ld, t.segmentation, t.heatmap, t.world, t.poseflag] = await ((_a = models2[1]) == null ? void 0 : _a.execute(t.resize, outputNodes));
const points = await t.ld.data();
const keypoints3 = [];
const labels2 = (points == null ? void 0 : points.length) === 195 ? full : upper;
const depth = 5;
for (let i = 0; i < points.length / depth; i++) {
const score3 = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 3])))) / 100;
if (score3 > (config3.body.minConfidence || 0)) {
keypoints3.push({
part: labels2[i],
position: [
Math.trunc(outputSize2[0] * points[depth * i + 0] / 255),
Math.trunc(outputSize2[1] * points[depth * i + 1] / 255),
Math.trunc(points[depth * i + 2]) + 0
],
positionRaw: [
points[depth * i + 0] / 255,
points[depth * i + 1] / 255,
points[depth * i + 2] + 0
],
score: score3
});
}
}
const x = keypoints3.map((a) => a.position[0]); const x = keypoints3.map((a) => a.position[0]);
const y = keypoints3.map((a) => a.position[1]); const y = keypoints3.map((a) => a.position[1]);
const box4 = [ const keypointsBox = [Math.min(...x), Math.min(...y), Math.max(...x) - Math.min(...x), Math.max(...y) - Math.min(...y)];
Math.min(...x), const keypointsBoxRaw = [keypointsBox[0] / outputSize2[0], keypointsBox[1] / outputSize2[1], keypointsBox[2] / outputSize2[0], keypointsBox[3] / outputSize2[1]];
Math.min(...y), return { keypointsBox, keypointsBoxRaw };
Math.max(...x) - Math.min(...x), }
Math.max(...y) - Math.min(...x) async function prepareImage(input) {
const t = {};
if (!input.shape || !input.shape[1] || !input.shape[2])
return input;
padding = [
[0, 0],
[input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0],
[input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0],
[0, 0]
]; ];
const boxRaw2 = [0, 0, 0, 0]; t.pad = pad(input, padding);
const score2 = keypoints3.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); t.resize = image13.resizeBilinear(t.pad, [inputSize5[1][0], inputSize5[1][1]]);
Object.keys(t).forEach((tensor3) => tfjs_esm_exports.dispose(t[tensor3])); const final = div8(t.resize, 255);
return { id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints3 }; Object.keys(t).forEach((tensor3) => dispose12(t[tensor3]));
return final;
}
function rescaleKeypoints(keypoints3, outputSize2) {
for (const kpt4 of keypoints3) {
kpt4.position = [
kpt4.position[0] * (outputSize2[0] + padding[2][0] + padding[2][1]) / outputSize2[0] - padding[2][0],
kpt4.position[1] * (outputSize2[1] + padding[1][0] + padding[1][1]) / outputSize2[1] - padding[1][0],
kpt4.position[2]
];
kpt4.positionRaw = [
kpt4.position[0] / outputSize2[0],
kpt4.position[1] / outputSize2[1],
kpt4.position[2]
];
}
return keypoints3;
}
async function detectParts(input, config3, outputSize2) {
var _a;
const t = {};
t.input = await prepareImage(input);
[t.ld, t.segmentation, t.heatmap, t.world, t.poseflag] = await ((_a = models2[1]) == null ? void 0 : _a.execute(t.input, outputNodes));
const points = await t.ld.data();
const keypointsRelative = [];
const depth = 5;
for (let i = 0; i < points.length / depth; i++) {
const score2 = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 3])))) / 100;
const positionRaw = [points[depth * i + 0] / inputSize5[1][0], points[depth * i + 1] / inputSize5[1][1], points[depth * i + 2] + 0];
const position = [Math.trunc(outputSize2[0] * positionRaw[0]), Math.trunc(outputSize2[1] * positionRaw[1]), positionRaw[2]];
keypointsRelative.push({ part: kpt[i], positionRaw, position, score: score2 });
}
const avgScore = Math.round(100 * keypointsRelative.reduce((prev, curr) => prev += curr.score, 0) / keypointsRelative.length) / 100;
if (avgScore < (config3.body.minConfidence || 0))
return null;
const keypoints3 = rescaleKeypoints(keypointsRelative, outputSize2);
const boxes = calculateBoxes(keypoints3, [outputSize2[0], outputSize2[1]]);
Object.keys(t).forEach((tensor3) => dispose12(t[tensor3]));
const annotations2 = {};
for (const [name, indexes] of Object.entries(connected)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints3.find((kpt4) => kpt4.part === indexes[i]);
const pt1 = keypoints3.find((kpt4) => kpt4.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
return { id: 0, score: avgScore, box: boxes.keypointsBox, boxRaw: boxes.keypointsBoxRaw, keypoints: keypoints3, annotations: annotations2 };
} }
async function predict7(input, config3) { async function predict7(input, config3) {
outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0];
const bodies = []; if (skipped5 < (config3.body.skipFrames || 0) && config3.skipFrame) {
const body4 = await detectParts(input, config3); skipped5++;
bodies.push(body4); } else {
return bodies; cache2 = await detectParts(input, config3, outputSize2);
skipped5 = 0;
}
if (cache2)
return [cache2];
return [];
} }
// src/body/efficientposecoords.ts
var kpt2 = [
"head",
"neck",
"rightShoulder",
"rightElbow",
"rightWrist",
"chest",
"leftShoulder",
"leftElbow",
"leftWrist",
"bodyCenter",
"rightHip",
"rightKnee",
"rightAnkle",
"leftHip",
"leftKnee",
"leftAnkle"
];
var connected2 = {
leftLeg: ["leftHip", "leftKnee", "leftAnkle"],
rightLeg: ["rightHip", "rightKnee", "rightAnkle"],
torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
leftArm: ["leftShoulder", "leftElbow", "leftWrist"],
rightArm: ["rightShoulder", "rightElbow", "rightWrist"],
head: []
};
// src/body/efficientpose.ts // src/body/efficientpose.ts
var model7; var model7;
var keypoints = []; var keypoints = [];
var box3 = [0, 0, 0, 0]; var box3 = [0, 0, 0, 0];
var boxRaw = [0, 0, 0, 0]; var boxRaw = [0, 0, 0, 0];
var score = 0; var score = 0;
var skipped5 = Number.MAX_SAFE_INTEGER; var skipped6 = Number.MAX_SAFE_INTEGER;
var bodyParts = ["head", "neck", "rightShoulder", "rightElbow", "rightWrist", "chest", "leftShoulder", "leftElbow", "leftWrist", "pelvis", "rightHip", "rightKnee", "rightAnkle", "leftHip", "leftKnee", "leftAnkle"];
async function load8(config3) { async function load8(config3) {
if (env2.initial) if (env2.initial)
model7 = null; model7 = null;
@ -9643,9 +9701,9 @@ function max2d(inputs, minScore) {
const reshaped = tfjs_esm_exports.reshape(inputs, [height * width]); const reshaped = tfjs_esm_exports.reshape(inputs, [height * width]);
const newScore = tfjs_esm_exports.max(reshaped, 0).dataSync()[0]; const newScore = tfjs_esm_exports.max(reshaped, 0).dataSync()[0];
if (newScore > minScore) { if (newScore > minScore) {
const coords4 = tfjs_esm_exports.argMax(reshaped, 0); const coordinates = tfjs_esm_exports.argMax(reshaped, 0);
const x = mod(coords4, width).dataSync()[0]; const x = mod(coordinates, width).dataSync()[0];
const y = tfjs_esm_exports.div(coords4, tfjs_esm_exports.scalar(width, "int32")).dataSync()[0]; const y = tfjs_esm_exports.div(coordinates, tfjs_esm_exports.scalar(width, "int32")).dataSync()[0];
return [x, y, newScore]; return [x, y, newScore];
} }
return [0, 0, newScore]; return [0, 0, newScore];
@ -9653,11 +9711,11 @@ function max2d(inputs, minScore) {
} }
async function predict8(image24, config3) { async function predict8(image24, config3) {
var _a; var _a;
if (skipped5 < (((_a = config3.body) == null ? void 0 : _a.skipFrames) || 0) && config3.skipFrame && Object.keys(keypoints).length > 0) { if (skipped6 < (((_a = config3.body) == null ? void 0 : _a.skipFrames) || 0) && config3.skipFrame && Object.keys(keypoints).length > 0) {
skipped5++; skipped6++;
return [{ id: 0, score, box: box3, boxRaw, keypoints }]; return [{ id: 0, score, box: box3, boxRaw, keypoints, annotations: {} }];
} }
skipped5 = 0; skipped6 = 0;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
var _a2; var _a2;
const tensor3 = tfjs_esm_exports.tidy(() => { const tensor3 = tfjs_esm_exports.tidy(() => {
@ -9683,7 +9741,7 @@ async function predict8(image24, config3) {
if (score > (((_a2 = config3.body) == null ? void 0 : _a2.minConfidence) || 0)) { if (score > (((_a2 = config3.body) == null ? void 0 : _a2.minConfidence) || 0)) {
keypoints.push({ keypoints.push({
score: Math.round(100 * partScore) / 100, score: Math.round(100 * partScore) / 100,
part: bodyParts[id], part: kpt2[id],
positionRaw: [ positionRaw: [
x2 / model7.inputs[0].shape[2], x2 / model7.inputs[0].shape[2],
y2 / model7.inputs[0].shape[1] y2 / model7.inputs[0].shape[1]
@ -9714,17 +9772,56 @@ async function predict8(image24, config3) {
Math.max(...xRaw) - Math.min(...xRaw), Math.max(...xRaw) - Math.min(...xRaw),
Math.max(...yRaw) - Math.min(...yRaw) Math.max(...yRaw) - Math.min(...yRaw)
]; ];
resolve([{ id: 0, score, box: box3, boxRaw, keypoints }]); const annotations2 = {};
for (const [name, indexes] of Object.entries(connected2)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints.find((kpt4) => kpt4.part === indexes[i]);
const pt1 = keypoints.find((kpt4) => kpt4.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
resolve([{ id: 0, score, box: box3, boxRaw, keypoints, annotations: annotations2 }]);
}); });
} }
// src/body/movenetcoords.ts
var kpt3 = [
"nose",
"leftEye",
"rightEye",
"leftEar",
"rightEar",
"leftShoulder",
"rightShoulder",
"leftElbow",
"rightElbow",
"leftWrist",
"rightWrist",
"leftHip",
"rightHip",
"leftKnee",
"rightKnee",
"leftAnkle",
"rightAnkle"
];
var connected3 = {
leftLeg: ["leftHip", "leftKnee", "leftAnkle"],
rightLeg: ["rightHip", "rightKnee", "rightAnkle"],
torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
leftArm: ["leftShoulder", "leftElbow", "leftWrist"],
rightArm: ["rightShoulder", "rightElbow", "rightWrist"],
head: []
};
// src/body/movenet.ts // src/body/movenet.ts
var model8; var model8;
var inputSize6 = 0; var inputSize6 = 0;
var cachedBoxes = []; var cachedBoxes = [];
var skipped6 = Number.MAX_SAFE_INTEGER; var skipped7 = Number.MAX_SAFE_INTEGER;
var keypoints2 = []; var keypoints2 = [];
var bodyParts2 = ["nose", "leftEye", "rightEye", "leftEar", "rightEar", "leftShoulder", "rightShoulder", "leftElbow", "rightElbow", "leftWrist", "rightWrist", "leftHip", "rightHip", "leftKnee", "rightKnee", "leftAnkle", "rightAnkle"];
async function load9(config3) { async function load9(config3) {
if (env2.initial) if (env2.initial)
model8 = null; model8 = null;
@ -9762,19 +9859,19 @@ function createBox2(points) {
return [box4, boxRaw2]; return [box4, boxRaw2];
} }
async function parseSinglePose(res, config3, image24, inputBox) { async function parseSinglePose(res, config3, image24, inputBox) {
const kpt = res[0][0]; const kpt4 = res[0][0];
keypoints2.length = 0; keypoints2.length = 0;
let score2 = 0; let score2 = 0;
for (let id = 0; id < kpt.length; id++) { for (let id = 0; id < kpt4.length; id++) {
score2 = kpt[id][2]; score2 = kpt4[id][2];
if (score2 > config3.body.minConfidence) { if (score2 > config3.body.minConfidence) {
const positionRaw = [ const positionRaw = [
(inputBox[3] - inputBox[1]) * kpt[id][1] + inputBox[1], (inputBox[3] - inputBox[1]) * kpt4[id][1] + inputBox[1],
(inputBox[2] - inputBox[0]) * kpt[id][0] + inputBox[0] (inputBox[2] - inputBox[0]) * kpt4[id][0] + inputBox[0]
]; ];
keypoints2.push({ keypoints2.push({
score: Math.round(100 * score2) / 100, score: Math.round(100 * score2) / 100,
part: bodyParts2[id], part: kpt3[id],
positionRaw, positionRaw,
position: [ position: [
Math.round((image24.shape[2] || 0) * positionRaw[0]), Math.round((image24.shape[2] || 0) * positionRaw[0]),
@ -9786,25 +9883,36 @@ async function parseSinglePose(res, config3, image24, inputBox) {
score2 = keypoints2.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); score2 = keypoints2.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0);
const bodies = []; const bodies = [];
const [box4, boxRaw2] = createBox2(keypoints2); const [box4, boxRaw2] = createBox2(keypoints2);
bodies.push({ id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints2 }); const annotations2 = {};
for (const [name, indexes] of Object.entries(connected3)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints2.find((kp) => kp.part === indexes[i]);
const pt1 = keypoints2.find((kp) => kp.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
bodies.push({ id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints2, annotations: annotations2 });
return bodies; return bodies;
} }
async function parseMultiPose(res, config3, image24, inputBox) { async function parseMultiPose(res, config3, image24, inputBox) {
const bodies = []; const bodies = [];
for (let id = 0; id < res[0].length; id++) { for (let id = 0; id < res[0].length; id++) {
const kpt = res[0][id]; const kpt4 = res[0][id];
const totalScore = Math.round(100 * kpt[51 + 4]) / 100; const totalScore = Math.round(100 * kpt4[51 + 4]) / 100;
if (totalScore > config3.body.minConfidence) { if (totalScore > config3.body.minConfidence) {
keypoints2.length = 0; keypoints2.length = 0;
for (let i = 0; i < 17; i++) { for (let i = 0; i < 17; i++) {
const score2 = kpt[3 * i + 2]; const score2 = kpt4[3 * i + 2];
if (score2 > config3.body.minConfidence) { if (score2 > config3.body.minConfidence) {
const positionRaw = [ const positionRaw = [
(inputBox[3] - inputBox[1]) * kpt[3 * i + 1] + inputBox[1], (inputBox[3] - inputBox[1]) * kpt4[3 * i + 1] + inputBox[1],
(inputBox[2] - inputBox[0]) * kpt[3 * i + 0] + inputBox[0] (inputBox[2] - inputBox[0]) * kpt4[3 * i + 0] + inputBox[0]
]; ];
keypoints2.push({ keypoints2.push({
part: bodyParts2[i], part: kpt3[i],
score: Math.round(100 * score2) / 100, score: Math.round(100 * score2) / 100,
positionRaw, positionRaw,
position: [ position: [
@ -9814,9 +9922,19 @@ async function parseMultiPose(res, config3, image24, inputBox) {
}); });
} }
} }
const boxRaw2 = [kpt[51 + 1], kpt[51 + 0], kpt[51 + 3] - kpt[51 + 1], kpt[51 + 2] - kpt[51 + 0]]; const [box4, boxRaw2] = createBox2(keypoints2);
const box4 = [Math.trunc(boxRaw2[0] * (image24.shape[2] || 0)), Math.trunc(boxRaw2[1] * (image24.shape[1] || 0)), Math.trunc(boxRaw2[2] * (image24.shape[2] || 0)), Math.trunc(boxRaw2[3] * (image24.shape[1] || 0))]; const annotations2 = {};
bodies.push({ id, score: totalScore, boxRaw: boxRaw2, box: box4, keypoints: [...keypoints2] }); for (const [name, indexes] of Object.entries(connected3)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints2.find((kp) => kp.part === indexes[i]);
const pt1 = keypoints2.find((kp) => kp.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
bodies.push({ id, score: totalScore, boxRaw: boxRaw2, box: box4, keypoints: [...keypoints2], annotations: annotations2 });
} }
} }
bodies.sort((a, b) => b.score - a.score); bodies.sort((a, b) => b.score - a.score);
@ -9832,7 +9950,7 @@ async function predict9(input, config3) {
let bodies = []; let bodies = [];
if (!config3.skipFrame) if (!config3.skipFrame)
cachedBoxes.length = 0; cachedBoxes.length = 0;
skipped6++; skipped7++;
for (let i = 0; i < cachedBoxes.length; i++) { for (let i = 0; i < cachedBoxes.length; i++) {
t.crop = tfjs_esm_exports.image.cropAndResize(input, [cachedBoxes[i]], [0], [inputSize6, inputSize6], "bilinear"); t.crop = tfjs_esm_exports.image.cropAndResize(input, [cachedBoxes[i]], [0], [inputSize6, inputSize6], "bilinear");
t.cast = tfjs_esm_exports.cast(t.crop, "int32"); t.cast = tfjs_esm_exports.cast(t.crop, "int32");
@ -9842,7 +9960,7 @@ async function predict9(input, config3) {
bodies = bodies.concat(newBodies); bodies = bodies.concat(newBodies);
Object.keys(t).forEach((tensor3) => tfjs_esm_exports.dispose(t[tensor3])); Object.keys(t).forEach((tensor3) => tfjs_esm_exports.dispose(t[tensor3]));
} }
if (bodies.length !== config3.body.maxDetected && skipped6 > (config3.body.skipFrames || 0)) { if (bodies.length !== config3.body.maxDetected && skipped7 > (config3.body.skipFrames || 0)) {
t.resized = tfjs_esm_exports.image.resizeBilinear(input, [inputSize6, inputSize6], false); t.resized = tfjs_esm_exports.image.resizeBilinear(input, [inputSize6, inputSize6], false);
t.cast = tfjs_esm_exports.cast(t.resized, "int32"); t.cast = tfjs_esm_exports.cast(t.resized, "int32");
t.res = await (model8 == null ? void 0 : model8.predict(t.cast)); t.res = await (model8 == null ? void 0 : model8.predict(t.cast));
@ -9850,13 +9968,13 @@ async function predict9(input, config3) {
bodies = t.res.shape[2] === 17 ? await parseSinglePose(res, config3, input, [0, 0, 1, 1]) : await parseMultiPose(res, config3, input, [0, 0, 1, 1]); bodies = t.res.shape[2] === 17 ? await parseSinglePose(res, config3, input, [0, 0, 1, 1]) : await parseMultiPose(res, config3, input, [0, 0, 1, 1]);
Object.keys(t).forEach((tensor3) => tfjs_esm_exports.dispose(t[tensor3])); Object.keys(t).forEach((tensor3) => tfjs_esm_exports.dispose(t[tensor3]));
cachedBoxes.length = 0; cachedBoxes.length = 0;
skipped6 = 0; skipped7 = 0;
} }
if (config3.skipFrame) { if (config3.skipFrame) {
cachedBoxes.length = 0; cachedBoxes.length = 0;
for (let i = 0; i < bodies.length; i++) { for (let i = 0; i < bodies.length; i++) {
if (bodies[i].keypoints.length > 10) { if (bodies[i].keypoints.length > 10) {
const kpts = bodies[i].keypoints.map((kpt) => kpt.position); const kpts = bodies[i].keypoints.map((kpt4) => kpt4.position);
const newBox = scale(kpts, 1.5, [input.shape[2], input.shape[1]]); const newBox = scale(kpts, 1.5, [input.shape[2], input.shape[1]]);
cachedBoxes.push([...newBox.yxBox]); cachedBoxes.push([...newBox.yxBox]);
} }
@ -9953,7 +10071,7 @@ var labels = [
// src/object/nanodet.ts // src/object/nanodet.ts
var model9; var model9;
var last3 = []; var last3 = [];
var skipped7 = Number.MAX_SAFE_INTEGER; var skipped8 = Number.MAX_SAFE_INTEGER;
var scaleBox = 2.5; var scaleBox = 2.5;
async function load10(config3) { async function load10(config3) {
if (!model9 || env2.initial) { if (!model9 || env2.initial) {
@ -10032,15 +10150,15 @@ async function process3(res, inputSize8, outputShape, config3) {
return results; return results;
} }
async function predict10(image24, config3) { async function predict10(image24, config3) {
if (skipped7 < (config3.object.skipFrames || 0) && config3.skipFrame && last3.length > 0) { if (skipped8 < (config3.object.skipFrames || 0) && config3.skipFrame && last3.length > 0) {
skipped7++; skipped8++;
return last3; return last3;
} }
skipped7 = 0; skipped8 = 0;
if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense")) if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
return last3; return last3;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
const outputSize3 = [image24.shape[2], image24.shape[1]]; const outputSize2 = [image24.shape[2], image24.shape[1]];
const resize = tfjs_esm_exports.image.resizeBilinear(image24, [model9.inputSize, model9.inputSize], false); const resize = tfjs_esm_exports.image.resizeBilinear(image24, [model9.inputSize, model9.inputSize], false);
const norm = tfjs_esm_exports.div(resize, 255); const norm = tfjs_esm_exports.div(resize, 255);
const transpose = norm.transpose([0, 3, 1, 2]); const transpose = norm.transpose([0, 3, 1, 2]);
@ -10050,7 +10168,7 @@ async function predict10(image24, config3) {
if (config3.object.enabled) if (config3.object.enabled)
objectT = await model9.predict(transpose); objectT = await model9.predict(transpose);
tfjs_esm_exports.dispose(transpose); tfjs_esm_exports.dispose(transpose);
const obj = await process3(objectT, model9.inputSize, outputSize3, config3); const obj = await process3(objectT, model9.inputSize, outputSize2, config3);
last3 = obj; last3 = obj;
resolve(obj); resolve(obj);
}); });
@ -10060,7 +10178,7 @@ async function predict10(image24, config3) {
var model10; var model10;
var inputSize7 = 0; var inputSize7 = 0;
var last4 = []; var last4 = [];
var skipped8 = Number.MAX_SAFE_INTEGER; var skipped9 = Number.MAX_SAFE_INTEGER;
async function load11(config3) { async function load11(config3) {
if (env2.initial) if (env2.initial)
model10 = null; model10 = null;
@ -10124,19 +10242,19 @@ async function process4(res, outputShape, config3) {
return results; return results;
} }
async function predict11(input, config3) { async function predict11(input, config3) {
if (skipped8 < (config3.object.skipFrames || 0) && config3.skipFrame && last4.length > 0) { if (skipped9 < (config3.object.skipFrames || 0) && config3.skipFrame && last4.length > 0) {
skipped8++; skipped9++;
return last4; return last4;
} }
skipped8 = 0; skipped9 = 0;
if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense")) if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
return last4; return last4;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
const outputSize3 = [input.shape[2], input.shape[1]]; const outputSize2 = [input.shape[2], input.shape[1]];
const resize = tfjs_esm_exports.image.resizeBilinear(input, [inputSize7, inputSize7]); const resize = tfjs_esm_exports.image.resizeBilinear(input, [inputSize7, inputSize7]);
const objectT = config3.object.enabled ? model10 == null ? void 0 : model10.execute(resize, ["tower_0/detections"]) : null; const objectT = config3.object.enabled ? model10 == null ? void 0 : model10.execute(resize, ["tower_0/detections"]) : null;
tfjs_esm_exports.dispose(resize); tfjs_esm_exports.dispose(resize);
const obj = await process4(objectT, outputSize3, config3); const obj = await process4(objectT, outputSize2, config3);
last4 = obj; last4 = obj;
resolve(obj); resolve(obj);
}); });
@ -10227,7 +10345,7 @@ async function process5(input, background, config3) {
// src/gear/gear-agegenderrace.ts // src/gear/gear-agegenderrace.ts
var model12; var model12;
var skipped9 = Number.MAX_SAFE_INTEGER; var skipped10 = Number.MAX_SAFE_INTEGER;
async function load13(config3) { async function load13(config3) {
if (env2.initial) if (env2.initial)
model12 = null; model12 = null;
@ -10407,7 +10525,6 @@ async function register(instance) {
log("error: humangl:", e.type); log("error: humangl:", e.type);
log("possible browser memory leak using webgl"); log("possible browser memory leak using webgl");
instance.emit("error"); instance.emit("error");
throw new Error("browser webgl error");
}); });
config2.canvas.addEventListener("webglcontextrestored", (e) => { config2.canvas.addEventListener("webglcontextrestored", (e) => {
log("error: humangl context restored:", e); log("error: humangl context restored:", e);
@ -10542,10 +10659,8 @@ async function check(instance, force = false) {
log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`); log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);
} }
} }
if (tfjs_esm_exports.getBackend() === "humangl") { if (tfjs_esm_exports.getBackend() === "webgpu") {
tfjs_esm_exports.ENV.set("WEBGPU_USE_GLSL", true); tfjs_esm_exports.ENV.set("WEBGPU_USE_GLSL", true);
tfjs_esm_exports.ENV.set("WEBGL_PACK_DEPTHWISECONV", false);
tfjs_esm_exports.ENV.set("WEBGL_USE_SHAPES_UNIFORMS", true);
} }
tfjs_esm_exports.enableProdMode(); tfjs_esm_exports.enableProdMode();
await tfjs_esm_exports.ready(); await tfjs_esm_exports.ready();
@ -10817,109 +10932,24 @@ async function body(inCanvas2, result, drawOptions) {
ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]); ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);
} }
} }
if (localOptions.drawPoints) { if (localOptions.drawPoints && result[i].keypoints) {
for (let pt = 0; pt < result[i].keypoints.length; pt++) { for (let pt = 0; pt < result[i].keypoints.length; pt++) {
ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + 2 * (result[i].keypoints[pt].position[2] || 0)}, ${127.5 - 2 * (result[i].keypoints[pt].position[2] || 0)}, 255, 0.5)` : localOptions.color; ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + 2 * (result[i].keypoints[pt].position[2] || 0)}, ${127.5 - 2 * (result[i].keypoints[pt].position[2] || 0)}, 255, 0.5)` : localOptions.color;
point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions); point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions);
} }
} }
if (localOptions.drawLabels) { if (localOptions.drawLabels && result[i].keypoints) {
ctx.font = localOptions.font; ctx.font = localOptions.font;
if (result[i].keypoints) { for (const pt of result[i].keypoints) {
for (const pt of result[i].keypoints) { ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + 2 * pt.position[2]}, ${127.5 - 2 * pt.position[2]}, 255, 0.5)` : localOptions.color;
ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + 2 * pt.position[2]}, ${127.5 - 2 * pt.position[2]}, 255, 0.5)` : localOptions.color; ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);
ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);
}
} }
} }
if (localOptions.drawPolygons && result[i].keypoints) { if (localOptions.drawPolygons && result[i].keypoints && result[i].annotations) {
let part; for (const part of Object.values(result[i].annotations)) {
const points = []; for (const connected4 of part)
points.length = 0; curves(ctx, connected4, localOptions);
part = result[i].keypoints.find((a) => a.part === "leftShoulder"); }
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
if (points.length === 4)
lines(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "leftHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftKnee");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftAnkle");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftHeel");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftFoot");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightKnee");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightAnkle");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightHeel");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightFoot");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "leftShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftElbow");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftWrist");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftPalm");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightElbow");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightWrist");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightPalm");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
} }
} }
} }
@ -11409,15 +11439,15 @@ function calc(newResult) {
if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length) if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length)
bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints; bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints;
const keypoints3 = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : []; const keypoints3 = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : [];
const annotations3 = {}; const annotations2 = {};
if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length) if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length)
bufferedResult.hand[i].annotations = newResult.hand[i].annotations; bufferedResult.hand[i].annotations = newResult.hand[i].annotations;
if (newResult.hand[i].annotations) { if (newResult.hand[i].annotations) {
for (const key of Object.keys(newResult.hand[i].annotations)) { for (const key of Object.keys(newResult.hand[i].annotations)) {
annotations3[key] = newResult.hand[i].annotations[key] && newResult.hand[i].annotations[key][0] ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; annotations2[key] = newResult.hand[i].annotations[key] && newResult.hand[i].annotations[key][0] ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null;
} }
} }
bufferedResult.hand[i] = { ...newResult.hand[i], box: box4, boxRaw: boxRaw2, keypoints: keypoints3, annotations: annotations3 }; bufferedResult.hand[i] = { ...newResult.hand[i], box: box4, boxRaw: boxRaw2, keypoints: keypoints3, annotations: annotations2 };
} }
} }
if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) { if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) {

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@ -216,7 +216,7 @@ var config = {
}, },
maxDetected: -1, maxDetected: -1,
minConfidence: 0.2, minConfidence: 0.2,
skipFrames: 1 skipFrames: 5
}, },
hand: { hand: {
enabled: true, enabled: true,
@ -1200,6 +1200,8 @@ function process2(input, config3) {
tempCanvas.height = targetHeight; tempCanvas.height = targetHeight;
const tempCtx = tempCanvas.getContext("2d"); const tempCtx = tempCanvas.getContext("2d");
tempCtx == null ? void 0 : tempCtx.drawImage(outCanvas, 0, 0); tempCtx == null ? void 0 : tempCtx.drawImage(outCanvas, 0, 0);
console.log("PIXELS", tempCanvas);
pixels = tf2.browser && env2.browser ? tf2.browser.fromPixels(tempCanvas) : null;
try { try {
pixels = tf2.browser && env2.browser ? tf2.browser.fromPixels(tempCanvas) : null; pixels = tf2.browser && env2.browser ? tf2.browser.fromPixels(tempCanvas) : null;
} catch (err) { } catch (err) {
@ -8780,11 +8782,11 @@ var HandPipeline = class {
const rawCoords = await keypointsReshaped.array(); const rawCoords = await keypointsReshaped.array();
tf12.dispose(keypoints3); tf12.dispose(keypoints3);
tf12.dispose(keypointsReshaped); tf12.dispose(keypointsReshaped);
const coords4 = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix); const coords7 = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);
const nextBoundingBox = this.getBoxForHandLandmarks(coords4); const nextBoundingBox = this.getBoxForHandLandmarks(coords7);
this.storedBoxes[i] = { ...nextBoundingBox, confidence }; this.storedBoxes[i] = { ...nextBoundingBox, confidence };
const result = { const result = {
landmarks: coords4, landmarks: coords7,
confidence, confidence,
boxConfidence: currentBox.confidence, boxConfidence: currentBox.confidence,
fingerConfidence: confidence, fingerConfidence: confidence,
@ -9211,10 +9213,10 @@ async function predict5(input, config3) {
return []; return [];
const hands = []; const hands = [];
for (let i = 0; i < predictions.length; i++) { for (let i = 0; i < predictions.length; i++) {
const annotations3 = {}; const annotations2 = {};
if (predictions[i].landmarks) { if (predictions[i].landmarks) {
for (const key of Object.keys(meshAnnotations2)) { for (const key of Object.keys(meshAnnotations2)) {
annotations3[key] = meshAnnotations2[key].map((index) => predictions[i].landmarks[index]); annotations2[key] = meshAnnotations2[key].map((index) => predictions[i].landmarks[index]);
} }
} }
const keypoints3 = predictions[i].landmarks; const keypoints3 = predictions[i].landmarks;
@ -9258,7 +9260,7 @@ async function predict5(input, config3) {
box: box4, box: box4,
boxRaw: boxRaw2, boxRaw: boxRaw2,
keypoints: keypoints3, keypoints: keypoints3,
annotations: annotations3, annotations: annotations2,
landmarks landmarks
}); });
} }
@ -9297,9 +9299,9 @@ async function load7(config3) {
} }
// src/util/box.ts // src/util/box.ts
function scale(keypoints3, boxScaleFact2, outputSize3) { function scale(keypoints3, boxScaleFact2, outputSize2) {
const coords4 = [keypoints3.map((pt) => pt[0]), keypoints3.map((pt) => pt[1])]; const coords7 = [keypoints3.map((pt) => pt[0]), keypoints3.map((pt) => pt[1])];
const maxmin = [Math.max(...coords4[0]), Math.min(...coords4[0]), Math.max(...coords4[1]), Math.min(...coords4[1])]; const maxmin = [Math.max(...coords7[0]), Math.min(...coords7[0]), Math.max(...coords7[1]), Math.min(...coords7[1])];
const center = [(maxmin[0] + maxmin[1]) / 2, (maxmin[2] + maxmin[3]) / 2]; const center = [(maxmin[0] + maxmin[1]) / 2, (maxmin[2] + maxmin[3]) / 2];
const diff = Math.max(center[0] - maxmin[1], center[1] - maxmin[3], -center[0] + maxmin[0], -center[1] + maxmin[2]) * boxScaleFact2; const diff = Math.max(center[0] - maxmin[1], center[1] - maxmin[3], -center[0] + maxmin[0], -center[1] + maxmin[2]) * boxScaleFact2;
const box4 = [ const box4 = [
@ -9309,10 +9311,10 @@ function scale(keypoints3, boxScaleFact2, outputSize3) {
Math.trunc(2 * diff) Math.trunc(2 * diff)
]; ];
const boxRaw2 = [ const boxRaw2 = [
box4[0] / outputSize3[0], box4[0] / outputSize2[0],
box4[1] / outputSize3[1], box4[1] / outputSize2[1],
box4[2] / outputSize3[0], box4[2] / outputSize2[0],
box4[3] / outputSize3[1] box4[3] / outputSize2[1]
]; ];
const yxBox = [ const yxBox = [
boxRaw2[1], boxRaw2[1],
@ -9502,10 +9504,10 @@ async function predict6(input, config3) {
} }
// src/body/blazepose.ts // src/body/blazepose.ts
var tf15 = __toModule(require_tfjs_esm()); var tf15 = __toModule(require("@tensorflow/tfjs"));
// src/body/annotations.ts // src/body/blazeposecoords.ts
var full = [ var kpt = [
"nose", "nose",
"leftEyeInside", "leftEyeInside",
"leftEye", "leftEye",
@ -9539,58 +9541,38 @@ var full = [
"rightHeel", "rightHeel",
"leftFoot", "leftFoot",
"rightFoot", "rightFoot",
"midHip", "bodyCenter",
"forehead", "bodyTop",
"leftThumb", "leftThumb",
"leftHand", "leftHand",
"rightThumb", "rightThumb",
"rightHand" "rightHand"
]; ];
var upper = [ var connected = {
"nose", leftLeg: ["leftHip", "leftKnee", "leftAnkle", "leftHeel", "leftFoot"],
"leftEyeInside", rightLeg: ["rightHip", "rightKnee", "rightAnkle", "rightHeel", "rightFoot"],
"leftEye", torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
"leftEyeOutside", leftArm: ["leftShoulder", "leftElbow", "leftWrist", "leftPalm"],
"rightEyeInside", rightArm: ["rightShoulder", "rightElbow", "rightWrist", "rightPalm"],
"rightEye", leftHand: [],
"rightEyeOutside", rightHand: [],
"leftEar", head: []
"rightEar", };
"leftMouth",
"rightMouth",
"leftShoulder",
"rightShoulder",
"leftElbow",
"rightElbow",
"left:15",
"right:16",
"left:17",
"right:18",
"left:19",
"right:20",
"left:21",
"right:22",
"leftChest",
"rightChest",
"neck",
"forehead",
"left:27",
"right:28",
"left:29",
"right:30"
];
// src/body/blazepose.ts // src/body/blazepose.ts
var env3 = { initial: true };
var models2 = [null, null]; var models2 = [null, null];
var outputNodes = ["ld_3d", "activation_segmentation", "activation_heatmap", "world_3d", "output_poseflag"];
var inputSize5 = [[0, 0], [0, 0]]; var inputSize5 = [[0, 0], [0, 0]];
var outputSize2 = [0, 0]; var skipped5 = Number.MAX_SAFE_INTEGER;
var outputNodes;
var cache2 = null;
var padding = [[0, 0], [0, 0], [0, 0], [0, 0]];
async function loadDetect2(config3) { async function loadDetect2(config3) {
var _a; var _a, _b;
if (env2.initial) if (env3.initial)
models2[0] = null; models2[0] = null;
if (!models2[0]) { if (!models2[0] && ((_a = config3.body.detector) == null ? void 0 : _a.modelPath) || "") {
models2[0] = await tf15.loadGraphModel(join(config3.modelBasePath, ((_a = config3.body.detector) == null ? void 0 : _a.modelPath) || "")); models2[0] = await tf15.loadGraphModel(join(config3.modelBasePath, ((_b = config3.body.detector) == null ? void 0 : _b.modelPath) || ""));
const inputs = Object.values(models2[0].modelSignature["inputs"]); const inputs = Object.values(models2[0].modelSignature["inputs"]);
inputSize5[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; inputSize5[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
inputSize5[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; inputSize5[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
@ -9598,18 +9580,23 @@ async function loadDetect2(config3) {
log("load model failed:", config3.object.modelPath); log("load model failed:", config3.object.modelPath);
else if (config3.debug) else if (config3.debug)
log("load model:", models2[0]["modelUrl"]); log("load model:", models2[0]["modelUrl"]);
} else if (config3.debug) } else if (config3.debug && models2[0])
log("cached model:", models2[0]["modelUrl"]); log("cached model:", models2[0]["modelUrl"]);
return models2[0]; return models2[0];
} }
async function loadPose(config3) { async function loadPose(config3) {
if (env2.initial) var _a;
if (env3.initial)
models2[1] = null; models2[1] = null;
if (!models2[1]) { if (!models2[1]) {
models2[1] = await tf15.loadGraphModel(join(config3.modelBasePath, config3.body.modelPath || "")); models2[1] = await tf15.loadGraphModel(join(config3.modelBasePath, config3.body.modelPath || ""));
const inputs = Object.values(models2[1].modelSignature["inputs"]); const inputs = Object.values(models2[1].modelSignature["inputs"]);
inputSize5[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; inputSize5[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
inputSize5[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; inputSize5[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
if ((_a = config3.body.modelPath) == null ? void 0 : _a.includes("lite"))
outputNodes = ["ld_3d", "output_segmentation", "output_heatmap", "world_3d", "output_poseflag"];
else
outputNodes = ["Identity", "Identity_2", "Identity_3", "Identity_4", "Identity_1"];
if (!models2[1] || !models2[1]["modelUrl"]) if (!models2[1] || !models2[1]["modelUrl"])
log("load model failed:", config3.object.modelPath); log("load model failed:", config3.object.modelPath);
else if (config3.debug) else if (config3.debug)
@ -9618,64 +9605,128 @@ async function loadPose(config3) {
log("cached model:", models2[1]["modelUrl"]); log("cached model:", models2[1]["modelUrl"]);
return models2[1]; return models2[1];
} }
async function detectParts(input, config3) { function calculateBoxes(keypoints3, outputSize2) {
var _a;
const t = {};
t.resize = tf15.image.resizeBilinear(input, [inputSize5[1][0], inputSize5[1][1]]);
[t.ld, t.segmentation, t.heatmap, t.world, t.poseflag] = await ((_a = models2[1]) == null ? void 0 : _a.execute(t.resize, outputNodes));
const points = await t.ld.data();
const keypoints3 = [];
const labels2 = (points == null ? void 0 : points.length) === 195 ? full : upper;
const depth = 5;
for (let i = 0; i < points.length / depth; i++) {
const score3 = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 3])))) / 100;
if (score3 > (config3.body.minConfidence || 0)) {
keypoints3.push({
part: labels2[i],
position: [
Math.trunc(outputSize2[0] * points[depth * i + 0] / 255),
Math.trunc(outputSize2[1] * points[depth * i + 1] / 255),
Math.trunc(points[depth * i + 2]) + 0
],
positionRaw: [
points[depth * i + 0] / 255,
points[depth * i + 1] / 255,
points[depth * i + 2] + 0
],
score: score3
});
}
}
const x = keypoints3.map((a) => a.position[0]); const x = keypoints3.map((a) => a.position[0]);
const y = keypoints3.map((a) => a.position[1]); const y = keypoints3.map((a) => a.position[1]);
const box4 = [ const keypointsBox = [Math.min(...x), Math.min(...y), Math.max(...x) - Math.min(...x), Math.max(...y) - Math.min(...y)];
Math.min(...x), const keypointsBoxRaw = [keypointsBox[0] / outputSize2[0], keypointsBox[1] / outputSize2[1], keypointsBox[2] / outputSize2[0], keypointsBox[3] / outputSize2[1]];
Math.min(...y), return { keypointsBox, keypointsBoxRaw };
Math.max(...x) - Math.min(...x), }
Math.max(...y) - Math.min(...x) async function prepareImage(input) {
const t = {};
if (!input.shape || !input.shape[1] || !input.shape[2])
return input;
padding = [
[0, 0],
[input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0],
[input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0],
[0, 0]
]; ];
const boxRaw2 = [0, 0, 0, 0]; t.pad = tf15.pad(input, padding);
const score2 = keypoints3.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); t.resize = tf15.image.resizeBilinear(t.pad, [inputSize5[1][0], inputSize5[1][1]]);
const final = tf15.div(t.resize, 255);
Object.keys(t).forEach((tensor3) => tf15.dispose(t[tensor3])); Object.keys(t).forEach((tensor3) => tf15.dispose(t[tensor3]));
return { id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints3 }; return final;
}
function rescaleKeypoints(keypoints3, outputSize2) {
for (const kpt4 of keypoints3) {
kpt4.position = [
kpt4.position[0] * (outputSize2[0] + padding[2][0] + padding[2][1]) / outputSize2[0] - padding[2][0],
kpt4.position[1] * (outputSize2[1] + padding[1][0] + padding[1][1]) / outputSize2[1] - padding[1][0],
kpt4.position[2]
];
kpt4.positionRaw = [
kpt4.position[0] / outputSize2[0],
kpt4.position[1] / outputSize2[1],
kpt4.position[2]
];
}
return keypoints3;
}
async function detectParts(input, config3, outputSize2) {
var _a;
const t = {};
t.input = await prepareImage(input);
[t.ld, t.segmentation, t.heatmap, t.world, t.poseflag] = await ((_a = models2[1]) == null ? void 0 : _a.execute(t.input, outputNodes));
const points = await t.ld.data();
const keypointsRelative = [];
const depth = 5;
for (let i = 0; i < points.length / depth; i++) {
const score2 = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 3])))) / 100;
const positionRaw = [points[depth * i + 0] / inputSize5[1][0], points[depth * i + 1] / inputSize5[1][1], points[depth * i + 2] + 0];
const position = [Math.trunc(outputSize2[0] * positionRaw[0]), Math.trunc(outputSize2[1] * positionRaw[1]), positionRaw[2]];
keypointsRelative.push({ part: kpt[i], positionRaw, position, score: score2 });
}
const avgScore = Math.round(100 * keypointsRelative.reduce((prev, curr) => prev += curr.score, 0) / keypointsRelative.length) / 100;
if (avgScore < (config3.body.minConfidence || 0))
return null;
const keypoints3 = rescaleKeypoints(keypointsRelative, outputSize2);
const boxes = calculateBoxes(keypoints3, [outputSize2[0], outputSize2[1]]);
Object.keys(t).forEach((tensor3) => tf15.dispose(t[tensor3]));
const annotations2 = {};
for (const [name, indexes] of Object.entries(connected)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints3.find((kpt4) => kpt4.part === indexes[i]);
const pt1 = keypoints3.find((kpt4) => kpt4.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
return { id: 0, score: avgScore, box: boxes.keypointsBox, boxRaw: boxes.keypointsBoxRaw, keypoints: keypoints3, annotations: annotations2 };
} }
async function predict7(input, config3) { async function predict7(input, config3) {
outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0];
const bodies = []; if (skipped5 < (config3.body.skipFrames || 0) && config3.skipFrame) {
const body4 = await detectParts(input, config3); skipped5++;
bodies.push(body4); } else {
return bodies; cache2 = await detectParts(input, config3, outputSize2);
skipped5 = 0;
}
if (cache2)
return [cache2];
return [];
} }
// src/body/efficientpose.ts // src/body/efficientpose.ts
var tf16 = __toModule(require_tfjs_esm()); var tf16 = __toModule(require_tfjs_esm());
// src/body/efficientposecoords.ts
var kpt2 = [
"head",
"neck",
"rightShoulder",
"rightElbow",
"rightWrist",
"chest",
"leftShoulder",
"leftElbow",
"leftWrist",
"bodyCenter",
"rightHip",
"rightKnee",
"rightAnkle",
"leftHip",
"leftKnee",
"leftAnkle"
];
var connected2 = {
leftLeg: ["leftHip", "leftKnee", "leftAnkle"],
rightLeg: ["rightHip", "rightKnee", "rightAnkle"],
torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
leftArm: ["leftShoulder", "leftElbow", "leftWrist"],
rightArm: ["rightShoulder", "rightElbow", "rightWrist"],
head: []
};
// src/body/efficientpose.ts
var model7; var model7;
var keypoints = []; var keypoints = [];
var box3 = [0, 0, 0, 0]; var box3 = [0, 0, 0, 0];
var boxRaw = [0, 0, 0, 0]; var boxRaw = [0, 0, 0, 0];
var score = 0; var score = 0;
var skipped5 = Number.MAX_SAFE_INTEGER; var skipped6 = Number.MAX_SAFE_INTEGER;
var bodyParts = ["head", "neck", "rightShoulder", "rightElbow", "rightWrist", "chest", "leftShoulder", "leftElbow", "leftWrist", "pelvis", "rightHip", "rightKnee", "rightAnkle", "leftHip", "leftKnee", "leftAnkle"];
async function load8(config3) { async function load8(config3) {
if (env2.initial) if (env2.initial)
model7 = null; model7 = null;
@ -9696,9 +9747,9 @@ function max2d(inputs, minScore) {
const reshaped = tf16.reshape(inputs, [height * width]); const reshaped = tf16.reshape(inputs, [height * width]);
const newScore = tf16.max(reshaped, 0).dataSync()[0]; const newScore = tf16.max(reshaped, 0).dataSync()[0];
if (newScore > minScore) { if (newScore > minScore) {
const coords4 = tf16.argMax(reshaped, 0); const coordinates = tf16.argMax(reshaped, 0);
const x = mod(coords4, width).dataSync()[0]; const x = mod(coordinates, width).dataSync()[0];
const y = tf16.div(coords4, tf16.scalar(width, "int32")).dataSync()[0]; const y = tf16.div(coordinates, tf16.scalar(width, "int32")).dataSync()[0];
return [x, y, newScore]; return [x, y, newScore];
} }
return [0, 0, newScore]; return [0, 0, newScore];
@ -9706,11 +9757,11 @@ function max2d(inputs, minScore) {
} }
async function predict8(image24, config3) { async function predict8(image24, config3) {
var _a; var _a;
if (skipped5 < (((_a = config3.body) == null ? void 0 : _a.skipFrames) || 0) && config3.skipFrame && Object.keys(keypoints).length > 0) { if (skipped6 < (((_a = config3.body) == null ? void 0 : _a.skipFrames) || 0) && config3.skipFrame && Object.keys(keypoints).length > 0) {
skipped5++; skipped6++;
return [{ id: 0, score, box: box3, boxRaw, keypoints }]; return [{ id: 0, score, box: box3, boxRaw, keypoints, annotations: {} }];
} }
skipped5 = 0; skipped6 = 0;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
var _a2; var _a2;
const tensor3 = tf16.tidy(() => { const tensor3 = tf16.tidy(() => {
@ -9736,7 +9787,7 @@ async function predict8(image24, config3) {
if (score > (((_a2 = config3.body) == null ? void 0 : _a2.minConfidence) || 0)) { if (score > (((_a2 = config3.body) == null ? void 0 : _a2.minConfidence) || 0)) {
keypoints.push({ keypoints.push({
score: Math.round(100 * partScore) / 100, score: Math.round(100 * partScore) / 100,
part: bodyParts[id], part: kpt2[id],
positionRaw: [ positionRaw: [
x2 / model7.inputs[0].shape[2], x2 / model7.inputs[0].shape[2],
y2 / model7.inputs[0].shape[1] y2 / model7.inputs[0].shape[1]
@ -9767,18 +9818,59 @@ async function predict8(image24, config3) {
Math.max(...xRaw) - Math.min(...xRaw), Math.max(...xRaw) - Math.min(...xRaw),
Math.max(...yRaw) - Math.min(...yRaw) Math.max(...yRaw) - Math.min(...yRaw)
]; ];
resolve([{ id: 0, score, box: box3, boxRaw, keypoints }]); const annotations2 = {};
for (const [name, indexes] of Object.entries(connected2)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints.find((kpt4) => kpt4.part === indexes[i]);
const pt1 = keypoints.find((kpt4) => kpt4.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
resolve([{ id: 0, score, box: box3, boxRaw, keypoints, annotations: annotations2 }]);
}); });
} }
// src/body/movenet.ts // src/body/movenet.ts
var tf17 = __toModule(require_tfjs_esm()); var tf17 = __toModule(require_tfjs_esm());
// src/body/movenetcoords.ts
var kpt3 = [
"nose",
"leftEye",
"rightEye",
"leftEar",
"rightEar",
"leftShoulder",
"rightShoulder",
"leftElbow",
"rightElbow",
"leftWrist",
"rightWrist",
"leftHip",
"rightHip",
"leftKnee",
"rightKnee",
"leftAnkle",
"rightAnkle"
];
var connected3 = {
leftLeg: ["leftHip", "leftKnee", "leftAnkle"],
rightLeg: ["rightHip", "rightKnee", "rightAnkle"],
torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
leftArm: ["leftShoulder", "leftElbow", "leftWrist"],
rightArm: ["rightShoulder", "rightElbow", "rightWrist"],
head: []
};
// src/body/movenet.ts
var model8; var model8;
var inputSize6 = 0; var inputSize6 = 0;
var cachedBoxes = []; var cachedBoxes = [];
var skipped6 = Number.MAX_SAFE_INTEGER; var skipped7 = Number.MAX_SAFE_INTEGER;
var keypoints2 = []; var keypoints2 = [];
var bodyParts2 = ["nose", "leftEye", "rightEye", "leftEar", "rightEar", "leftShoulder", "rightShoulder", "leftElbow", "rightElbow", "leftWrist", "rightWrist", "leftHip", "rightHip", "leftKnee", "rightKnee", "leftAnkle", "rightAnkle"];
async function load9(config3) { async function load9(config3) {
if (env2.initial) if (env2.initial)
model8 = null; model8 = null;
@ -9816,19 +9908,19 @@ function createBox2(points) {
return [box4, boxRaw2]; return [box4, boxRaw2];
} }
async function parseSinglePose(res, config3, image24, inputBox) { async function parseSinglePose(res, config3, image24, inputBox) {
const kpt = res[0][0]; const kpt4 = res[0][0];
keypoints2.length = 0; keypoints2.length = 0;
let score2 = 0; let score2 = 0;
for (let id = 0; id < kpt.length; id++) { for (let id = 0; id < kpt4.length; id++) {
score2 = kpt[id][2]; score2 = kpt4[id][2];
if (score2 > config3.body.minConfidence) { if (score2 > config3.body.minConfidence) {
const positionRaw = [ const positionRaw = [
(inputBox[3] - inputBox[1]) * kpt[id][1] + inputBox[1], (inputBox[3] - inputBox[1]) * kpt4[id][1] + inputBox[1],
(inputBox[2] - inputBox[0]) * kpt[id][0] + inputBox[0] (inputBox[2] - inputBox[0]) * kpt4[id][0] + inputBox[0]
]; ];
keypoints2.push({ keypoints2.push({
score: Math.round(100 * score2) / 100, score: Math.round(100 * score2) / 100,
part: bodyParts2[id], part: kpt3[id],
positionRaw, positionRaw,
position: [ position: [
Math.round((image24.shape[2] || 0) * positionRaw[0]), Math.round((image24.shape[2] || 0) * positionRaw[0]),
@ -9840,25 +9932,36 @@ async function parseSinglePose(res, config3, image24, inputBox) {
score2 = keypoints2.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); score2 = keypoints2.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0);
const bodies = []; const bodies = [];
const [box4, boxRaw2] = createBox2(keypoints2); const [box4, boxRaw2] = createBox2(keypoints2);
bodies.push({ id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints2 }); const annotations2 = {};
for (const [name, indexes] of Object.entries(connected3)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints2.find((kp) => kp.part === indexes[i]);
const pt1 = keypoints2.find((kp) => kp.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
bodies.push({ id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints2, annotations: annotations2 });
return bodies; return bodies;
} }
async function parseMultiPose(res, config3, image24, inputBox) { async function parseMultiPose(res, config3, image24, inputBox) {
const bodies = []; const bodies = [];
for (let id = 0; id < res[0].length; id++) { for (let id = 0; id < res[0].length; id++) {
const kpt = res[0][id]; const kpt4 = res[0][id];
const totalScore = Math.round(100 * kpt[51 + 4]) / 100; const totalScore = Math.round(100 * kpt4[51 + 4]) / 100;
if (totalScore > config3.body.minConfidence) { if (totalScore > config3.body.minConfidence) {
keypoints2.length = 0; keypoints2.length = 0;
for (let i = 0; i < 17; i++) { for (let i = 0; i < 17; i++) {
const score2 = kpt[3 * i + 2]; const score2 = kpt4[3 * i + 2];
if (score2 > config3.body.minConfidence) { if (score2 > config3.body.minConfidence) {
const positionRaw = [ const positionRaw = [
(inputBox[3] - inputBox[1]) * kpt[3 * i + 1] + inputBox[1], (inputBox[3] - inputBox[1]) * kpt4[3 * i + 1] + inputBox[1],
(inputBox[2] - inputBox[0]) * kpt[3 * i + 0] + inputBox[0] (inputBox[2] - inputBox[0]) * kpt4[3 * i + 0] + inputBox[0]
]; ];
keypoints2.push({ keypoints2.push({
part: bodyParts2[i], part: kpt3[i],
score: Math.round(100 * score2) / 100, score: Math.round(100 * score2) / 100,
positionRaw, positionRaw,
position: [ position: [
@ -9868,9 +9971,19 @@ async function parseMultiPose(res, config3, image24, inputBox) {
}); });
} }
} }
const boxRaw2 = [kpt[51 + 1], kpt[51 + 0], kpt[51 + 3] - kpt[51 + 1], kpt[51 + 2] - kpt[51 + 0]]; const [box4, boxRaw2] = createBox2(keypoints2);
const box4 = [Math.trunc(boxRaw2[0] * (image24.shape[2] || 0)), Math.trunc(boxRaw2[1] * (image24.shape[1] || 0)), Math.trunc(boxRaw2[2] * (image24.shape[2] || 0)), Math.trunc(boxRaw2[3] * (image24.shape[1] || 0))]; const annotations2 = {};
bodies.push({ id, score: totalScore, boxRaw: boxRaw2, box: box4, keypoints: [...keypoints2] }); for (const [name, indexes] of Object.entries(connected3)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints2.find((kp) => kp.part === indexes[i]);
const pt1 = keypoints2.find((kp) => kp.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
bodies.push({ id, score: totalScore, boxRaw: boxRaw2, box: box4, keypoints: [...keypoints2], annotations: annotations2 });
} }
} }
bodies.sort((a, b) => b.score - a.score); bodies.sort((a, b) => b.score - a.score);
@ -9886,7 +9999,7 @@ async function predict9(input, config3) {
let bodies = []; let bodies = [];
if (!config3.skipFrame) if (!config3.skipFrame)
cachedBoxes.length = 0; cachedBoxes.length = 0;
skipped6++; skipped7++;
for (let i = 0; i < cachedBoxes.length; i++) { for (let i = 0; i < cachedBoxes.length; i++) {
t.crop = tf17.image.cropAndResize(input, [cachedBoxes[i]], [0], [inputSize6, inputSize6], "bilinear"); t.crop = tf17.image.cropAndResize(input, [cachedBoxes[i]], [0], [inputSize6, inputSize6], "bilinear");
t.cast = tf17.cast(t.crop, "int32"); t.cast = tf17.cast(t.crop, "int32");
@ -9896,7 +10009,7 @@ async function predict9(input, config3) {
bodies = bodies.concat(newBodies); bodies = bodies.concat(newBodies);
Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3])); Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3]));
} }
if (bodies.length !== config3.body.maxDetected && skipped6 > (config3.body.skipFrames || 0)) { if (bodies.length !== config3.body.maxDetected && skipped7 > (config3.body.skipFrames || 0)) {
t.resized = tf17.image.resizeBilinear(input, [inputSize6, inputSize6], false); t.resized = tf17.image.resizeBilinear(input, [inputSize6, inputSize6], false);
t.cast = tf17.cast(t.resized, "int32"); t.cast = tf17.cast(t.resized, "int32");
t.res = await (model8 == null ? void 0 : model8.predict(t.cast)); t.res = await (model8 == null ? void 0 : model8.predict(t.cast));
@ -9904,13 +10017,13 @@ async function predict9(input, config3) {
bodies = t.res.shape[2] === 17 ? await parseSinglePose(res, config3, input, [0, 0, 1, 1]) : await parseMultiPose(res, config3, input, [0, 0, 1, 1]); bodies = t.res.shape[2] === 17 ? await parseSinglePose(res, config3, input, [0, 0, 1, 1]) : await parseMultiPose(res, config3, input, [0, 0, 1, 1]);
Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3])); Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3]));
cachedBoxes.length = 0; cachedBoxes.length = 0;
skipped6 = 0; skipped7 = 0;
} }
if (config3.skipFrame) { if (config3.skipFrame) {
cachedBoxes.length = 0; cachedBoxes.length = 0;
for (let i = 0; i < bodies.length; i++) { for (let i = 0; i < bodies.length; i++) {
if (bodies[i].keypoints.length > 10) { if (bodies[i].keypoints.length > 10) {
const kpts = bodies[i].keypoints.map((kpt) => kpt.position); const kpts = bodies[i].keypoints.map((kpt4) => kpt4.position);
const newBox = scale(kpts, 1.5, [input.shape[2], input.shape[1]]); const newBox = scale(kpts, 1.5, [input.shape[2], input.shape[1]]);
cachedBoxes.push([...newBox.yxBox]); cachedBoxes.push([...newBox.yxBox]);
} }
@ -10010,7 +10123,7 @@ var labels = [
// src/object/nanodet.ts // src/object/nanodet.ts
var model9; var model9;
var last3 = []; var last3 = [];
var skipped7 = Number.MAX_SAFE_INTEGER; var skipped8 = Number.MAX_SAFE_INTEGER;
var scaleBox = 2.5; var scaleBox = 2.5;
async function load10(config3) { async function load10(config3) {
if (!model9 || env2.initial) { if (!model9 || env2.initial) {
@ -10089,15 +10202,15 @@ async function process3(res, inputSize8, outputShape, config3) {
return results; return results;
} }
async function predict10(image24, config3) { async function predict10(image24, config3) {
if (skipped7 < (config3.object.skipFrames || 0) && config3.skipFrame && last3.length > 0) { if (skipped8 < (config3.object.skipFrames || 0) && config3.skipFrame && last3.length > 0) {
skipped7++; skipped8++;
return last3; return last3;
} }
skipped7 = 0; skipped8 = 0;
if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense")) if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
return last3; return last3;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
const outputSize3 = [image24.shape[2], image24.shape[1]]; const outputSize2 = [image24.shape[2], image24.shape[1]];
const resize = tf18.image.resizeBilinear(image24, [model9.inputSize, model9.inputSize], false); const resize = tf18.image.resizeBilinear(image24, [model9.inputSize, model9.inputSize], false);
const norm = tf18.div(resize, 255); const norm = tf18.div(resize, 255);
const transpose = norm.transpose([0, 3, 1, 2]); const transpose = norm.transpose([0, 3, 1, 2]);
@ -10107,7 +10220,7 @@ async function predict10(image24, config3) {
if (config3.object.enabled) if (config3.object.enabled)
objectT = await model9.predict(transpose); objectT = await model9.predict(transpose);
tf18.dispose(transpose); tf18.dispose(transpose);
const obj = await process3(objectT, model9.inputSize, outputSize3, config3); const obj = await process3(objectT, model9.inputSize, outputSize2, config3);
last3 = obj; last3 = obj;
resolve(obj); resolve(obj);
}); });
@ -10118,7 +10231,7 @@ var tf19 = __toModule(require_tfjs_esm());
var model10; var model10;
var inputSize7 = 0; var inputSize7 = 0;
var last4 = []; var last4 = [];
var skipped8 = Number.MAX_SAFE_INTEGER; var skipped9 = Number.MAX_SAFE_INTEGER;
async function load11(config3) { async function load11(config3) {
if (env2.initial) if (env2.initial)
model10 = null; model10 = null;
@ -10182,19 +10295,19 @@ async function process4(res, outputShape, config3) {
return results; return results;
} }
async function predict11(input, config3) { async function predict11(input, config3) {
if (skipped8 < (config3.object.skipFrames || 0) && config3.skipFrame && last4.length > 0) { if (skipped9 < (config3.object.skipFrames || 0) && config3.skipFrame && last4.length > 0) {
skipped8++; skipped9++;
return last4; return last4;
} }
skipped8 = 0; skipped9 = 0;
if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense")) if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
return last4; return last4;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
const outputSize3 = [input.shape[2], input.shape[1]]; const outputSize2 = [input.shape[2], input.shape[1]];
const resize = tf19.image.resizeBilinear(input, [inputSize7, inputSize7]); const resize = tf19.image.resizeBilinear(input, [inputSize7, inputSize7]);
const objectT = config3.object.enabled ? model10 == null ? void 0 : model10.execute(resize, ["tower_0/detections"]) : null; const objectT = config3.object.enabled ? model10 == null ? void 0 : model10.execute(resize, ["tower_0/detections"]) : null;
tf19.dispose(resize); tf19.dispose(resize);
const obj = await process4(objectT, outputSize3, config3); const obj = await process4(objectT, outputSize2, config3);
last4 = obj; last4 = obj;
resolve(obj); resolve(obj);
}); });
@ -10287,7 +10400,7 @@ async function process5(input, background, config3) {
// src/gear/gear-agegenderrace.ts // src/gear/gear-agegenderrace.ts
var tf21 = __toModule(require_tfjs_esm()); var tf21 = __toModule(require_tfjs_esm());
var model12; var model12;
var skipped9 = Number.MAX_SAFE_INTEGER; var skipped10 = Number.MAX_SAFE_INTEGER;
async function load13(config3) { async function load13(config3) {
if (env2.initial) if (env2.initial)
model12 = null; model12 = null;
@ -10467,7 +10580,6 @@ async function register(instance) {
log("error: humangl:", e.type); log("error: humangl:", e.type);
log("possible browser memory leak using webgl"); log("possible browser memory leak using webgl");
instance.emit("error"); instance.emit("error");
throw new Error("browser webgl error");
}); });
config2.canvas.addEventListener("webglcontextrestored", (e) => { config2.canvas.addEventListener("webglcontextrestored", (e) => {
log("error: humangl context restored:", e); log("error: humangl context restored:", e);
@ -10603,10 +10715,8 @@ async function check(instance, force = false) {
log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`); log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);
} }
} }
if (tf23.getBackend() === "humangl") { if (tf23.getBackend() === "webgpu") {
tf23.ENV.set("WEBGPU_USE_GLSL", true); tf23.ENV.set("WEBGPU_USE_GLSL", true);
tf23.ENV.set("WEBGL_PACK_DEPTHWISECONV", false);
tf23.ENV.set("WEBGL_USE_SHAPES_UNIFORMS", true);
} }
tf23.enableProdMode(); tf23.enableProdMode();
await tf23.ready(); await tf23.ready();
@ -10878,109 +10988,24 @@ async function body(inCanvas2, result, drawOptions) {
ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]); ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);
} }
} }
if (localOptions.drawPoints) { if (localOptions.drawPoints && result[i].keypoints) {
for (let pt = 0; pt < result[i].keypoints.length; pt++) { for (let pt = 0; pt < result[i].keypoints.length; pt++) {
ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + 2 * (result[i].keypoints[pt].position[2] || 0)}, ${127.5 - 2 * (result[i].keypoints[pt].position[2] || 0)}, 255, 0.5)` : localOptions.color; ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + 2 * (result[i].keypoints[pt].position[2] || 0)}, ${127.5 - 2 * (result[i].keypoints[pt].position[2] || 0)}, 255, 0.5)` : localOptions.color;
point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions); point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions);
} }
} }
if (localOptions.drawLabels) { if (localOptions.drawLabels && result[i].keypoints) {
ctx.font = localOptions.font; ctx.font = localOptions.font;
if (result[i].keypoints) { for (const pt of result[i].keypoints) {
for (const pt of result[i].keypoints) { ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + 2 * pt.position[2]}, ${127.5 - 2 * pt.position[2]}, 255, 0.5)` : localOptions.color;
ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + 2 * pt.position[2]}, ${127.5 - 2 * pt.position[2]}, 255, 0.5)` : localOptions.color; ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);
ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);
}
} }
} }
if (localOptions.drawPolygons && result[i].keypoints) { if (localOptions.drawPolygons && result[i].keypoints && result[i].annotations) {
let part; for (const part of Object.values(result[i].annotations)) {
const points = []; for (const connected4 of part)
points.length = 0; curves(ctx, connected4, localOptions);
part = result[i].keypoints.find((a) => a.part === "leftShoulder"); }
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
if (points.length === 4)
lines(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "leftHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftKnee");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftAnkle");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftHeel");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftFoot");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightKnee");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightAnkle");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightHeel");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightFoot");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "leftShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftElbow");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftWrist");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftPalm");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightElbow");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightWrist");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightPalm");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
} }
} }
} }
@ -11473,15 +11498,15 @@ function calc(newResult) {
if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length) if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length)
bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints; bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints;
const keypoints3 = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : []; const keypoints3 = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : [];
const annotations3 = {}; const annotations2 = {};
if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length) if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length)
bufferedResult.hand[i].annotations = newResult.hand[i].annotations; bufferedResult.hand[i].annotations = newResult.hand[i].annotations;
if (newResult.hand[i].annotations) { if (newResult.hand[i].annotations) {
for (const key of Object.keys(newResult.hand[i].annotations)) { for (const key of Object.keys(newResult.hand[i].annotations)) {
annotations3[key] = newResult.hand[i].annotations[key] && newResult.hand[i].annotations[key][0] ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; annotations2[key] = newResult.hand[i].annotations[key] && newResult.hand[i].annotations[key][0] ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null;
} }
} }
bufferedResult.hand[i] = { ...newResult.hand[i], box: box4, boxRaw: boxRaw2, keypoints: keypoints3, annotations: annotations3 }; bufferedResult.hand[i] = { ...newResult.hand[i], box: box4, boxRaw: boxRaw2, keypoints: keypoints3, annotations: annotations2 };
} }
} }
if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) { if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) {

523
dist/human.node-wasm.js vendored
View File

@ -217,7 +217,7 @@ var config = {
}, },
maxDetected: -1, maxDetected: -1,
minConfidence: 0.2, minConfidence: 0.2,
skipFrames: 1 skipFrames: 5
}, },
hand: { hand: {
enabled: true, enabled: true,
@ -1201,6 +1201,8 @@ function process2(input, config3) {
tempCanvas.height = targetHeight; tempCanvas.height = targetHeight;
const tempCtx = tempCanvas.getContext("2d"); const tempCtx = tempCanvas.getContext("2d");
tempCtx == null ? void 0 : tempCtx.drawImage(outCanvas, 0, 0); tempCtx == null ? void 0 : tempCtx.drawImage(outCanvas, 0, 0);
console.log("PIXELS", tempCanvas);
pixels = tf2.browser && env2.browser ? tf2.browser.fromPixels(tempCanvas) : null;
try { try {
pixels = tf2.browser && env2.browser ? tf2.browser.fromPixels(tempCanvas) : null; pixels = tf2.browser && env2.browser ? tf2.browser.fromPixels(tempCanvas) : null;
} catch (err) { } catch (err) {
@ -8781,11 +8783,11 @@ var HandPipeline = class {
const rawCoords = await keypointsReshaped.array(); const rawCoords = await keypointsReshaped.array();
tf12.dispose(keypoints3); tf12.dispose(keypoints3);
tf12.dispose(keypointsReshaped); tf12.dispose(keypointsReshaped);
const coords4 = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix); const coords7 = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);
const nextBoundingBox = this.getBoxForHandLandmarks(coords4); const nextBoundingBox = this.getBoxForHandLandmarks(coords7);
this.storedBoxes[i] = { ...nextBoundingBox, confidence }; this.storedBoxes[i] = { ...nextBoundingBox, confidence };
const result = { const result = {
landmarks: coords4, landmarks: coords7,
confidence, confidence,
boxConfidence: currentBox.confidence, boxConfidence: currentBox.confidence,
fingerConfidence: confidence, fingerConfidence: confidence,
@ -9212,10 +9214,10 @@ async function predict5(input, config3) {
return []; return [];
const hands = []; const hands = [];
for (let i = 0; i < predictions.length; i++) { for (let i = 0; i < predictions.length; i++) {
const annotations3 = {}; const annotations2 = {};
if (predictions[i].landmarks) { if (predictions[i].landmarks) {
for (const key of Object.keys(meshAnnotations2)) { for (const key of Object.keys(meshAnnotations2)) {
annotations3[key] = meshAnnotations2[key].map((index) => predictions[i].landmarks[index]); annotations2[key] = meshAnnotations2[key].map((index) => predictions[i].landmarks[index]);
} }
} }
const keypoints3 = predictions[i].landmarks; const keypoints3 = predictions[i].landmarks;
@ -9259,7 +9261,7 @@ async function predict5(input, config3) {
box: box4, box: box4,
boxRaw: boxRaw2, boxRaw: boxRaw2,
keypoints: keypoints3, keypoints: keypoints3,
annotations: annotations3, annotations: annotations2,
landmarks landmarks
}); });
} }
@ -9298,9 +9300,9 @@ async function load7(config3) {
} }
// src/util/box.ts // src/util/box.ts
function scale(keypoints3, boxScaleFact2, outputSize3) { function scale(keypoints3, boxScaleFact2, outputSize2) {
const coords4 = [keypoints3.map((pt) => pt[0]), keypoints3.map((pt) => pt[1])]; const coords7 = [keypoints3.map((pt) => pt[0]), keypoints3.map((pt) => pt[1])];
const maxmin = [Math.max(...coords4[0]), Math.min(...coords4[0]), Math.max(...coords4[1]), Math.min(...coords4[1])]; const maxmin = [Math.max(...coords7[0]), Math.min(...coords7[0]), Math.max(...coords7[1]), Math.min(...coords7[1])];
const center = [(maxmin[0] + maxmin[1]) / 2, (maxmin[2] + maxmin[3]) / 2]; const center = [(maxmin[0] + maxmin[1]) / 2, (maxmin[2] + maxmin[3]) / 2];
const diff = Math.max(center[0] - maxmin[1], center[1] - maxmin[3], -center[0] + maxmin[0], -center[1] + maxmin[2]) * boxScaleFact2; const diff = Math.max(center[0] - maxmin[1], center[1] - maxmin[3], -center[0] + maxmin[0], -center[1] + maxmin[2]) * boxScaleFact2;
const box4 = [ const box4 = [
@ -9310,10 +9312,10 @@ function scale(keypoints3, boxScaleFact2, outputSize3) {
Math.trunc(2 * diff) Math.trunc(2 * diff)
]; ];
const boxRaw2 = [ const boxRaw2 = [
box4[0] / outputSize3[0], box4[0] / outputSize2[0],
box4[1] / outputSize3[1], box4[1] / outputSize2[1],
box4[2] / outputSize3[0], box4[2] / outputSize2[0],
box4[3] / outputSize3[1] box4[3] / outputSize2[1]
]; ];
const yxBox = [ const yxBox = [
boxRaw2[1], boxRaw2[1],
@ -9503,10 +9505,10 @@ async function predict6(input, config3) {
} }
// src/body/blazepose.ts // src/body/blazepose.ts
var tf15 = __toModule(require_tfjs_esm()); var tf15 = __toModule(require("@tensorflow/tfjs"));
// src/body/annotations.ts // src/body/blazeposecoords.ts
var full = [ var kpt = [
"nose", "nose",
"leftEyeInside", "leftEyeInside",
"leftEye", "leftEye",
@ -9540,58 +9542,38 @@ var full = [
"rightHeel", "rightHeel",
"leftFoot", "leftFoot",
"rightFoot", "rightFoot",
"midHip", "bodyCenter",
"forehead", "bodyTop",
"leftThumb", "leftThumb",
"leftHand", "leftHand",
"rightThumb", "rightThumb",
"rightHand" "rightHand"
]; ];
var upper = [ var connected = {
"nose", leftLeg: ["leftHip", "leftKnee", "leftAnkle", "leftHeel", "leftFoot"],
"leftEyeInside", rightLeg: ["rightHip", "rightKnee", "rightAnkle", "rightHeel", "rightFoot"],
"leftEye", torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
"leftEyeOutside", leftArm: ["leftShoulder", "leftElbow", "leftWrist", "leftPalm"],
"rightEyeInside", rightArm: ["rightShoulder", "rightElbow", "rightWrist", "rightPalm"],
"rightEye", leftHand: [],
"rightEyeOutside", rightHand: [],
"leftEar", head: []
"rightEar", };
"leftMouth",
"rightMouth",
"leftShoulder",
"rightShoulder",
"leftElbow",
"rightElbow",
"left:15",
"right:16",
"left:17",
"right:18",
"left:19",
"right:20",
"left:21",
"right:22",
"leftChest",
"rightChest",
"neck",
"forehead",
"left:27",
"right:28",
"left:29",
"right:30"
];
// src/body/blazepose.ts // src/body/blazepose.ts
var env3 = { initial: true };
var models2 = [null, null]; var models2 = [null, null];
var outputNodes = ["ld_3d", "activation_segmentation", "activation_heatmap", "world_3d", "output_poseflag"];
var inputSize5 = [[0, 0], [0, 0]]; var inputSize5 = [[0, 0], [0, 0]];
var outputSize2 = [0, 0]; var skipped5 = Number.MAX_SAFE_INTEGER;
var outputNodes;
var cache2 = null;
var padding = [[0, 0], [0, 0], [0, 0], [0, 0]];
async function loadDetect2(config3) { async function loadDetect2(config3) {
var _a; var _a, _b;
if (env2.initial) if (env3.initial)
models2[0] = null; models2[0] = null;
if (!models2[0]) { if (!models2[0] && ((_a = config3.body.detector) == null ? void 0 : _a.modelPath) || "") {
models2[0] = await tf15.loadGraphModel(join(config3.modelBasePath, ((_a = config3.body.detector) == null ? void 0 : _a.modelPath) || "")); models2[0] = await tf15.loadGraphModel(join(config3.modelBasePath, ((_b = config3.body.detector) == null ? void 0 : _b.modelPath) || ""));
const inputs = Object.values(models2[0].modelSignature["inputs"]); const inputs = Object.values(models2[0].modelSignature["inputs"]);
inputSize5[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; inputSize5[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
inputSize5[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; inputSize5[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
@ -9599,18 +9581,23 @@ async function loadDetect2(config3) {
log("load model failed:", config3.object.modelPath); log("load model failed:", config3.object.modelPath);
else if (config3.debug) else if (config3.debug)
log("load model:", models2[0]["modelUrl"]); log("load model:", models2[0]["modelUrl"]);
} else if (config3.debug) } else if (config3.debug && models2[0])
log("cached model:", models2[0]["modelUrl"]); log("cached model:", models2[0]["modelUrl"]);
return models2[0]; return models2[0];
} }
async function loadPose(config3) { async function loadPose(config3) {
if (env2.initial) var _a;
if (env3.initial)
models2[1] = null; models2[1] = null;
if (!models2[1]) { if (!models2[1]) {
models2[1] = await tf15.loadGraphModel(join(config3.modelBasePath, config3.body.modelPath || "")); models2[1] = await tf15.loadGraphModel(join(config3.modelBasePath, config3.body.modelPath || ""));
const inputs = Object.values(models2[1].modelSignature["inputs"]); const inputs = Object.values(models2[1].modelSignature["inputs"]);
inputSize5[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; inputSize5[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
inputSize5[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; inputSize5[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
if ((_a = config3.body.modelPath) == null ? void 0 : _a.includes("lite"))
outputNodes = ["ld_3d", "output_segmentation", "output_heatmap", "world_3d", "output_poseflag"];
else
outputNodes = ["Identity", "Identity_2", "Identity_3", "Identity_4", "Identity_1"];
if (!models2[1] || !models2[1]["modelUrl"]) if (!models2[1] || !models2[1]["modelUrl"])
log("load model failed:", config3.object.modelPath); log("load model failed:", config3.object.modelPath);
else if (config3.debug) else if (config3.debug)
@ -9619,64 +9606,128 @@ async function loadPose(config3) {
log("cached model:", models2[1]["modelUrl"]); log("cached model:", models2[1]["modelUrl"]);
return models2[1]; return models2[1];
} }
async function detectParts(input, config3) { function calculateBoxes(keypoints3, outputSize2) {
var _a;
const t = {};
t.resize = tf15.image.resizeBilinear(input, [inputSize5[1][0], inputSize5[1][1]]);
[t.ld, t.segmentation, t.heatmap, t.world, t.poseflag] = await ((_a = models2[1]) == null ? void 0 : _a.execute(t.resize, outputNodes));
const points = await t.ld.data();
const keypoints3 = [];
const labels2 = (points == null ? void 0 : points.length) === 195 ? full : upper;
const depth = 5;
for (let i = 0; i < points.length / depth; i++) {
const score3 = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 3])))) / 100;
if (score3 > (config3.body.minConfidence || 0)) {
keypoints3.push({
part: labels2[i],
position: [
Math.trunc(outputSize2[0] * points[depth * i + 0] / 255),
Math.trunc(outputSize2[1] * points[depth * i + 1] / 255),
Math.trunc(points[depth * i + 2]) + 0
],
positionRaw: [
points[depth * i + 0] / 255,
points[depth * i + 1] / 255,
points[depth * i + 2] + 0
],
score: score3
});
}
}
const x = keypoints3.map((a) => a.position[0]); const x = keypoints3.map((a) => a.position[0]);
const y = keypoints3.map((a) => a.position[1]); const y = keypoints3.map((a) => a.position[1]);
const box4 = [ const keypointsBox = [Math.min(...x), Math.min(...y), Math.max(...x) - Math.min(...x), Math.max(...y) - Math.min(...y)];
Math.min(...x), const keypointsBoxRaw = [keypointsBox[0] / outputSize2[0], keypointsBox[1] / outputSize2[1], keypointsBox[2] / outputSize2[0], keypointsBox[3] / outputSize2[1]];
Math.min(...y), return { keypointsBox, keypointsBoxRaw };
Math.max(...x) - Math.min(...x), }
Math.max(...y) - Math.min(...x) async function prepareImage(input) {
const t = {};
if (!input.shape || !input.shape[1] || !input.shape[2])
return input;
padding = [
[0, 0],
[input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0],
[input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0],
[0, 0]
]; ];
const boxRaw2 = [0, 0, 0, 0]; t.pad = tf15.pad(input, padding);
const score2 = keypoints3.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); t.resize = tf15.image.resizeBilinear(t.pad, [inputSize5[1][0], inputSize5[1][1]]);
const final = tf15.div(t.resize, 255);
Object.keys(t).forEach((tensor3) => tf15.dispose(t[tensor3])); Object.keys(t).forEach((tensor3) => tf15.dispose(t[tensor3]));
return { id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints3 }; return final;
}
function rescaleKeypoints(keypoints3, outputSize2) {
for (const kpt4 of keypoints3) {
kpt4.position = [
kpt4.position[0] * (outputSize2[0] + padding[2][0] + padding[2][1]) / outputSize2[0] - padding[2][0],
kpt4.position[1] * (outputSize2[1] + padding[1][0] + padding[1][1]) / outputSize2[1] - padding[1][0],
kpt4.position[2]
];
kpt4.positionRaw = [
kpt4.position[0] / outputSize2[0],
kpt4.position[1] / outputSize2[1],
kpt4.position[2]
];
}
return keypoints3;
}
async function detectParts(input, config3, outputSize2) {
var _a;
const t = {};
t.input = await prepareImage(input);
[t.ld, t.segmentation, t.heatmap, t.world, t.poseflag] = await ((_a = models2[1]) == null ? void 0 : _a.execute(t.input, outputNodes));
const points = await t.ld.data();
const keypointsRelative = [];
const depth = 5;
for (let i = 0; i < points.length / depth; i++) {
const score2 = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 3])))) / 100;
const positionRaw = [points[depth * i + 0] / inputSize5[1][0], points[depth * i + 1] / inputSize5[1][1], points[depth * i + 2] + 0];
const position = [Math.trunc(outputSize2[0] * positionRaw[0]), Math.trunc(outputSize2[1] * positionRaw[1]), positionRaw[2]];
keypointsRelative.push({ part: kpt[i], positionRaw, position, score: score2 });
}
const avgScore = Math.round(100 * keypointsRelative.reduce((prev, curr) => prev += curr.score, 0) / keypointsRelative.length) / 100;
if (avgScore < (config3.body.minConfidence || 0))
return null;
const keypoints3 = rescaleKeypoints(keypointsRelative, outputSize2);
const boxes = calculateBoxes(keypoints3, [outputSize2[0], outputSize2[1]]);
Object.keys(t).forEach((tensor3) => tf15.dispose(t[tensor3]));
const annotations2 = {};
for (const [name, indexes] of Object.entries(connected)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints3.find((kpt4) => kpt4.part === indexes[i]);
const pt1 = keypoints3.find((kpt4) => kpt4.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
return { id: 0, score: avgScore, box: boxes.keypointsBox, boxRaw: boxes.keypointsBoxRaw, keypoints: keypoints3, annotations: annotations2 };
} }
async function predict7(input, config3) { async function predict7(input, config3) {
outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0];
const bodies = []; if (skipped5 < (config3.body.skipFrames || 0) && config3.skipFrame) {
const body4 = await detectParts(input, config3); skipped5++;
bodies.push(body4); } else {
return bodies; cache2 = await detectParts(input, config3, outputSize2);
skipped5 = 0;
}
if (cache2)
return [cache2];
return [];
} }
// src/body/efficientpose.ts // src/body/efficientpose.ts
var tf16 = __toModule(require_tfjs_esm()); var tf16 = __toModule(require_tfjs_esm());
// src/body/efficientposecoords.ts
var kpt2 = [
"head",
"neck",
"rightShoulder",
"rightElbow",
"rightWrist",
"chest",
"leftShoulder",
"leftElbow",
"leftWrist",
"bodyCenter",
"rightHip",
"rightKnee",
"rightAnkle",
"leftHip",
"leftKnee",
"leftAnkle"
];
var connected2 = {
leftLeg: ["leftHip", "leftKnee", "leftAnkle"],
rightLeg: ["rightHip", "rightKnee", "rightAnkle"],
torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
leftArm: ["leftShoulder", "leftElbow", "leftWrist"],
rightArm: ["rightShoulder", "rightElbow", "rightWrist"],
head: []
};
// src/body/efficientpose.ts
var model7; var model7;
var keypoints = []; var keypoints = [];
var box3 = [0, 0, 0, 0]; var box3 = [0, 0, 0, 0];
var boxRaw = [0, 0, 0, 0]; var boxRaw = [0, 0, 0, 0];
var score = 0; var score = 0;
var skipped5 = Number.MAX_SAFE_INTEGER; var skipped6 = Number.MAX_SAFE_INTEGER;
var bodyParts = ["head", "neck", "rightShoulder", "rightElbow", "rightWrist", "chest", "leftShoulder", "leftElbow", "leftWrist", "pelvis", "rightHip", "rightKnee", "rightAnkle", "leftHip", "leftKnee", "leftAnkle"];
async function load8(config3) { async function load8(config3) {
if (env2.initial) if (env2.initial)
model7 = null; model7 = null;
@ -9697,9 +9748,9 @@ function max2d(inputs, minScore) {
const reshaped = tf16.reshape(inputs, [height * width]); const reshaped = tf16.reshape(inputs, [height * width]);
const newScore = tf16.max(reshaped, 0).dataSync()[0]; const newScore = tf16.max(reshaped, 0).dataSync()[0];
if (newScore > minScore) { if (newScore > minScore) {
const coords4 = tf16.argMax(reshaped, 0); const coordinates = tf16.argMax(reshaped, 0);
const x = mod(coords4, width).dataSync()[0]; const x = mod(coordinates, width).dataSync()[0];
const y = tf16.div(coords4, tf16.scalar(width, "int32")).dataSync()[0]; const y = tf16.div(coordinates, tf16.scalar(width, "int32")).dataSync()[0];
return [x, y, newScore]; return [x, y, newScore];
} }
return [0, 0, newScore]; return [0, 0, newScore];
@ -9707,11 +9758,11 @@ function max2d(inputs, minScore) {
} }
async function predict8(image24, config3) { async function predict8(image24, config3) {
var _a; var _a;
if (skipped5 < (((_a = config3.body) == null ? void 0 : _a.skipFrames) || 0) && config3.skipFrame && Object.keys(keypoints).length > 0) { if (skipped6 < (((_a = config3.body) == null ? void 0 : _a.skipFrames) || 0) && config3.skipFrame && Object.keys(keypoints).length > 0) {
skipped5++; skipped6++;
return [{ id: 0, score, box: box3, boxRaw, keypoints }]; return [{ id: 0, score, box: box3, boxRaw, keypoints, annotations: {} }];
} }
skipped5 = 0; skipped6 = 0;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
var _a2; var _a2;
const tensor3 = tf16.tidy(() => { const tensor3 = tf16.tidy(() => {
@ -9737,7 +9788,7 @@ async function predict8(image24, config3) {
if (score > (((_a2 = config3.body) == null ? void 0 : _a2.minConfidence) || 0)) { if (score > (((_a2 = config3.body) == null ? void 0 : _a2.minConfidence) || 0)) {
keypoints.push({ keypoints.push({
score: Math.round(100 * partScore) / 100, score: Math.round(100 * partScore) / 100,
part: bodyParts[id], part: kpt2[id],
positionRaw: [ positionRaw: [
x2 / model7.inputs[0].shape[2], x2 / model7.inputs[0].shape[2],
y2 / model7.inputs[0].shape[1] y2 / model7.inputs[0].shape[1]
@ -9768,18 +9819,59 @@ async function predict8(image24, config3) {
Math.max(...xRaw) - Math.min(...xRaw), Math.max(...xRaw) - Math.min(...xRaw),
Math.max(...yRaw) - Math.min(...yRaw) Math.max(...yRaw) - Math.min(...yRaw)
]; ];
resolve([{ id: 0, score, box: box3, boxRaw, keypoints }]); const annotations2 = {};
for (const [name, indexes] of Object.entries(connected2)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints.find((kpt4) => kpt4.part === indexes[i]);
const pt1 = keypoints.find((kpt4) => kpt4.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
resolve([{ id: 0, score, box: box3, boxRaw, keypoints, annotations: annotations2 }]);
}); });
} }
// src/body/movenet.ts // src/body/movenet.ts
var tf17 = __toModule(require_tfjs_esm()); var tf17 = __toModule(require_tfjs_esm());
// src/body/movenetcoords.ts
var kpt3 = [
"nose",
"leftEye",
"rightEye",
"leftEar",
"rightEar",
"leftShoulder",
"rightShoulder",
"leftElbow",
"rightElbow",
"leftWrist",
"rightWrist",
"leftHip",
"rightHip",
"leftKnee",
"rightKnee",
"leftAnkle",
"rightAnkle"
];
var connected3 = {
leftLeg: ["leftHip", "leftKnee", "leftAnkle"],
rightLeg: ["rightHip", "rightKnee", "rightAnkle"],
torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
leftArm: ["leftShoulder", "leftElbow", "leftWrist"],
rightArm: ["rightShoulder", "rightElbow", "rightWrist"],
head: []
};
// src/body/movenet.ts
var model8; var model8;
var inputSize6 = 0; var inputSize6 = 0;
var cachedBoxes = []; var cachedBoxes = [];
var skipped6 = Number.MAX_SAFE_INTEGER; var skipped7 = Number.MAX_SAFE_INTEGER;
var keypoints2 = []; var keypoints2 = [];
var bodyParts2 = ["nose", "leftEye", "rightEye", "leftEar", "rightEar", "leftShoulder", "rightShoulder", "leftElbow", "rightElbow", "leftWrist", "rightWrist", "leftHip", "rightHip", "leftKnee", "rightKnee", "leftAnkle", "rightAnkle"];
async function load9(config3) { async function load9(config3) {
if (env2.initial) if (env2.initial)
model8 = null; model8 = null;
@ -9817,19 +9909,19 @@ function createBox2(points) {
return [box4, boxRaw2]; return [box4, boxRaw2];
} }
async function parseSinglePose(res, config3, image24, inputBox) { async function parseSinglePose(res, config3, image24, inputBox) {
const kpt = res[0][0]; const kpt4 = res[0][0];
keypoints2.length = 0; keypoints2.length = 0;
let score2 = 0; let score2 = 0;
for (let id = 0; id < kpt.length; id++) { for (let id = 0; id < kpt4.length; id++) {
score2 = kpt[id][2]; score2 = kpt4[id][2];
if (score2 > config3.body.minConfidence) { if (score2 > config3.body.minConfidence) {
const positionRaw = [ const positionRaw = [
(inputBox[3] - inputBox[1]) * kpt[id][1] + inputBox[1], (inputBox[3] - inputBox[1]) * kpt4[id][1] + inputBox[1],
(inputBox[2] - inputBox[0]) * kpt[id][0] + inputBox[0] (inputBox[2] - inputBox[0]) * kpt4[id][0] + inputBox[0]
]; ];
keypoints2.push({ keypoints2.push({
score: Math.round(100 * score2) / 100, score: Math.round(100 * score2) / 100,
part: bodyParts2[id], part: kpt3[id],
positionRaw, positionRaw,
position: [ position: [
Math.round((image24.shape[2] || 0) * positionRaw[0]), Math.round((image24.shape[2] || 0) * positionRaw[0]),
@ -9841,25 +9933,36 @@ async function parseSinglePose(res, config3, image24, inputBox) {
score2 = keypoints2.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); score2 = keypoints2.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0);
const bodies = []; const bodies = [];
const [box4, boxRaw2] = createBox2(keypoints2); const [box4, boxRaw2] = createBox2(keypoints2);
bodies.push({ id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints2 }); const annotations2 = {};
for (const [name, indexes] of Object.entries(connected3)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints2.find((kp) => kp.part === indexes[i]);
const pt1 = keypoints2.find((kp) => kp.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
bodies.push({ id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints2, annotations: annotations2 });
return bodies; return bodies;
} }
async function parseMultiPose(res, config3, image24, inputBox) { async function parseMultiPose(res, config3, image24, inputBox) {
const bodies = []; const bodies = [];
for (let id = 0; id < res[0].length; id++) { for (let id = 0; id < res[0].length; id++) {
const kpt = res[0][id]; const kpt4 = res[0][id];
const totalScore = Math.round(100 * kpt[51 + 4]) / 100; const totalScore = Math.round(100 * kpt4[51 + 4]) / 100;
if (totalScore > config3.body.minConfidence) { if (totalScore > config3.body.minConfidence) {
keypoints2.length = 0; keypoints2.length = 0;
for (let i = 0; i < 17; i++) { for (let i = 0; i < 17; i++) {
const score2 = kpt[3 * i + 2]; const score2 = kpt4[3 * i + 2];
if (score2 > config3.body.minConfidence) { if (score2 > config3.body.minConfidence) {
const positionRaw = [ const positionRaw = [
(inputBox[3] - inputBox[1]) * kpt[3 * i + 1] + inputBox[1], (inputBox[3] - inputBox[1]) * kpt4[3 * i + 1] + inputBox[1],
(inputBox[2] - inputBox[0]) * kpt[3 * i + 0] + inputBox[0] (inputBox[2] - inputBox[0]) * kpt4[3 * i + 0] + inputBox[0]
]; ];
keypoints2.push({ keypoints2.push({
part: bodyParts2[i], part: kpt3[i],
score: Math.round(100 * score2) / 100, score: Math.round(100 * score2) / 100,
positionRaw, positionRaw,
position: [ position: [
@ -9869,9 +9972,19 @@ async function parseMultiPose(res, config3, image24, inputBox) {
}); });
} }
} }
const boxRaw2 = [kpt[51 + 1], kpt[51 + 0], kpt[51 + 3] - kpt[51 + 1], kpt[51 + 2] - kpt[51 + 0]]; const [box4, boxRaw2] = createBox2(keypoints2);
const box4 = [Math.trunc(boxRaw2[0] * (image24.shape[2] || 0)), Math.trunc(boxRaw2[1] * (image24.shape[1] || 0)), Math.trunc(boxRaw2[2] * (image24.shape[2] || 0)), Math.trunc(boxRaw2[3] * (image24.shape[1] || 0))]; const annotations2 = {};
bodies.push({ id, score: totalScore, boxRaw: boxRaw2, box: box4, keypoints: [...keypoints2] }); for (const [name, indexes] of Object.entries(connected3)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints2.find((kp) => kp.part === indexes[i]);
const pt1 = keypoints2.find((kp) => kp.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
bodies.push({ id, score: totalScore, boxRaw: boxRaw2, box: box4, keypoints: [...keypoints2], annotations: annotations2 });
} }
} }
bodies.sort((a, b) => b.score - a.score); bodies.sort((a, b) => b.score - a.score);
@ -9887,7 +10000,7 @@ async function predict9(input, config3) {
let bodies = []; let bodies = [];
if (!config3.skipFrame) if (!config3.skipFrame)
cachedBoxes.length = 0; cachedBoxes.length = 0;
skipped6++; skipped7++;
for (let i = 0; i < cachedBoxes.length; i++) { for (let i = 0; i < cachedBoxes.length; i++) {
t.crop = tf17.image.cropAndResize(input, [cachedBoxes[i]], [0], [inputSize6, inputSize6], "bilinear"); t.crop = tf17.image.cropAndResize(input, [cachedBoxes[i]], [0], [inputSize6, inputSize6], "bilinear");
t.cast = tf17.cast(t.crop, "int32"); t.cast = tf17.cast(t.crop, "int32");
@ -9897,7 +10010,7 @@ async function predict9(input, config3) {
bodies = bodies.concat(newBodies); bodies = bodies.concat(newBodies);
Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3])); Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3]));
} }
if (bodies.length !== config3.body.maxDetected && skipped6 > (config3.body.skipFrames || 0)) { if (bodies.length !== config3.body.maxDetected && skipped7 > (config3.body.skipFrames || 0)) {
t.resized = tf17.image.resizeBilinear(input, [inputSize6, inputSize6], false); t.resized = tf17.image.resizeBilinear(input, [inputSize6, inputSize6], false);
t.cast = tf17.cast(t.resized, "int32"); t.cast = tf17.cast(t.resized, "int32");
t.res = await (model8 == null ? void 0 : model8.predict(t.cast)); t.res = await (model8 == null ? void 0 : model8.predict(t.cast));
@ -9905,13 +10018,13 @@ async function predict9(input, config3) {
bodies = t.res.shape[2] === 17 ? await parseSinglePose(res, config3, input, [0, 0, 1, 1]) : await parseMultiPose(res, config3, input, [0, 0, 1, 1]); bodies = t.res.shape[2] === 17 ? await parseSinglePose(res, config3, input, [0, 0, 1, 1]) : await parseMultiPose(res, config3, input, [0, 0, 1, 1]);
Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3])); Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3]));
cachedBoxes.length = 0; cachedBoxes.length = 0;
skipped6 = 0; skipped7 = 0;
} }
if (config3.skipFrame) { if (config3.skipFrame) {
cachedBoxes.length = 0; cachedBoxes.length = 0;
for (let i = 0; i < bodies.length; i++) { for (let i = 0; i < bodies.length; i++) {
if (bodies[i].keypoints.length > 10) { if (bodies[i].keypoints.length > 10) {
const kpts = bodies[i].keypoints.map((kpt) => kpt.position); const kpts = bodies[i].keypoints.map((kpt4) => kpt4.position);
const newBox = scale(kpts, 1.5, [input.shape[2], input.shape[1]]); const newBox = scale(kpts, 1.5, [input.shape[2], input.shape[1]]);
cachedBoxes.push([...newBox.yxBox]); cachedBoxes.push([...newBox.yxBox]);
} }
@ -10011,7 +10124,7 @@ var labels = [
// src/object/nanodet.ts // src/object/nanodet.ts
var model9; var model9;
var last3 = []; var last3 = [];
var skipped7 = Number.MAX_SAFE_INTEGER; var skipped8 = Number.MAX_SAFE_INTEGER;
var scaleBox = 2.5; var scaleBox = 2.5;
async function load10(config3) { async function load10(config3) {
if (!model9 || env2.initial) { if (!model9 || env2.initial) {
@ -10090,15 +10203,15 @@ async function process3(res, inputSize8, outputShape, config3) {
return results; return results;
} }
async function predict10(image24, config3) { async function predict10(image24, config3) {
if (skipped7 < (config3.object.skipFrames || 0) && config3.skipFrame && last3.length > 0) { if (skipped8 < (config3.object.skipFrames || 0) && config3.skipFrame && last3.length > 0) {
skipped7++; skipped8++;
return last3; return last3;
} }
skipped7 = 0; skipped8 = 0;
if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense")) if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
return last3; return last3;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
const outputSize3 = [image24.shape[2], image24.shape[1]]; const outputSize2 = [image24.shape[2], image24.shape[1]];
const resize = tf18.image.resizeBilinear(image24, [model9.inputSize, model9.inputSize], false); const resize = tf18.image.resizeBilinear(image24, [model9.inputSize, model9.inputSize], false);
const norm = tf18.div(resize, 255); const norm = tf18.div(resize, 255);
const transpose = norm.transpose([0, 3, 1, 2]); const transpose = norm.transpose([0, 3, 1, 2]);
@ -10108,7 +10221,7 @@ async function predict10(image24, config3) {
if (config3.object.enabled) if (config3.object.enabled)
objectT = await model9.predict(transpose); objectT = await model9.predict(transpose);
tf18.dispose(transpose); tf18.dispose(transpose);
const obj = await process3(objectT, model9.inputSize, outputSize3, config3); const obj = await process3(objectT, model9.inputSize, outputSize2, config3);
last3 = obj; last3 = obj;
resolve(obj); resolve(obj);
}); });
@ -10119,7 +10232,7 @@ var tf19 = __toModule(require_tfjs_esm());
var model10; var model10;
var inputSize7 = 0; var inputSize7 = 0;
var last4 = []; var last4 = [];
var skipped8 = Number.MAX_SAFE_INTEGER; var skipped9 = Number.MAX_SAFE_INTEGER;
async function load11(config3) { async function load11(config3) {
if (env2.initial) if (env2.initial)
model10 = null; model10 = null;
@ -10183,19 +10296,19 @@ async function process4(res, outputShape, config3) {
return results; return results;
} }
async function predict11(input, config3) { async function predict11(input, config3) {
if (skipped8 < (config3.object.skipFrames || 0) && config3.skipFrame && last4.length > 0) { if (skipped9 < (config3.object.skipFrames || 0) && config3.skipFrame && last4.length > 0) {
skipped8++; skipped9++;
return last4; return last4;
} }
skipped8 = 0; skipped9 = 0;
if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense")) if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
return last4; return last4;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
const outputSize3 = [input.shape[2], input.shape[1]]; const outputSize2 = [input.shape[2], input.shape[1]];
const resize = tf19.image.resizeBilinear(input, [inputSize7, inputSize7]); const resize = tf19.image.resizeBilinear(input, [inputSize7, inputSize7]);
const objectT = config3.object.enabled ? model10 == null ? void 0 : model10.execute(resize, ["tower_0/detections"]) : null; const objectT = config3.object.enabled ? model10 == null ? void 0 : model10.execute(resize, ["tower_0/detections"]) : null;
tf19.dispose(resize); tf19.dispose(resize);
const obj = await process4(objectT, outputSize3, config3); const obj = await process4(objectT, outputSize2, config3);
last4 = obj; last4 = obj;
resolve(obj); resolve(obj);
}); });
@ -10288,7 +10401,7 @@ async function process5(input, background, config3) {
// src/gear/gear-agegenderrace.ts // src/gear/gear-agegenderrace.ts
var tf21 = __toModule(require_tfjs_esm()); var tf21 = __toModule(require_tfjs_esm());
var model12; var model12;
var skipped9 = Number.MAX_SAFE_INTEGER; var skipped10 = Number.MAX_SAFE_INTEGER;
async function load13(config3) { async function load13(config3) {
if (env2.initial) if (env2.initial)
model12 = null; model12 = null;
@ -10468,7 +10581,6 @@ async function register(instance) {
log("error: humangl:", e.type); log("error: humangl:", e.type);
log("possible browser memory leak using webgl"); log("possible browser memory leak using webgl");
instance.emit("error"); instance.emit("error");
throw new Error("browser webgl error");
}); });
config2.canvas.addEventListener("webglcontextrestored", (e) => { config2.canvas.addEventListener("webglcontextrestored", (e) => {
log("error: humangl context restored:", e); log("error: humangl context restored:", e);
@ -10604,10 +10716,8 @@ async function check(instance, force = false) {
log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`); log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);
} }
} }
if (tf23.getBackend() === "humangl") { if (tf23.getBackend() === "webgpu") {
tf23.ENV.set("WEBGPU_USE_GLSL", true); tf23.ENV.set("WEBGPU_USE_GLSL", true);
tf23.ENV.set("WEBGL_PACK_DEPTHWISECONV", false);
tf23.ENV.set("WEBGL_USE_SHAPES_UNIFORMS", true);
} }
tf23.enableProdMode(); tf23.enableProdMode();
await tf23.ready(); await tf23.ready();
@ -10879,109 +10989,24 @@ async function body(inCanvas2, result, drawOptions) {
ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]); ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);
} }
} }
if (localOptions.drawPoints) { if (localOptions.drawPoints && result[i].keypoints) {
for (let pt = 0; pt < result[i].keypoints.length; pt++) { for (let pt = 0; pt < result[i].keypoints.length; pt++) {
ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + 2 * (result[i].keypoints[pt].position[2] || 0)}, ${127.5 - 2 * (result[i].keypoints[pt].position[2] || 0)}, 255, 0.5)` : localOptions.color; ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + 2 * (result[i].keypoints[pt].position[2] || 0)}, ${127.5 - 2 * (result[i].keypoints[pt].position[2] || 0)}, 255, 0.5)` : localOptions.color;
point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions); point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions);
} }
} }
if (localOptions.drawLabels) { if (localOptions.drawLabels && result[i].keypoints) {
ctx.font = localOptions.font; ctx.font = localOptions.font;
if (result[i].keypoints) { for (const pt of result[i].keypoints) {
for (const pt of result[i].keypoints) { ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + 2 * pt.position[2]}, ${127.5 - 2 * pt.position[2]}, 255, 0.5)` : localOptions.color;
ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + 2 * pt.position[2]}, ${127.5 - 2 * pt.position[2]}, 255, 0.5)` : localOptions.color; ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);
ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);
}
} }
} }
if (localOptions.drawPolygons && result[i].keypoints) { if (localOptions.drawPolygons && result[i].keypoints && result[i].annotations) {
let part; for (const part of Object.values(result[i].annotations)) {
const points = []; for (const connected4 of part)
points.length = 0; curves(ctx, connected4, localOptions);
part = result[i].keypoints.find((a) => a.part === "leftShoulder"); }
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
if (points.length === 4)
lines(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "leftHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftKnee");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftAnkle");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftHeel");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftFoot");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightKnee");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightAnkle");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightHeel");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightFoot");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "leftShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftElbow");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftWrist");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftPalm");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightElbow");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightWrist");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightPalm");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
} }
} }
} }
@ -11474,15 +11499,15 @@ function calc(newResult) {
if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length) if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length)
bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints; bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints;
const keypoints3 = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : []; const keypoints3 = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : [];
const annotations3 = {}; const annotations2 = {};
if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length) if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length)
bufferedResult.hand[i].annotations = newResult.hand[i].annotations; bufferedResult.hand[i].annotations = newResult.hand[i].annotations;
if (newResult.hand[i].annotations) { if (newResult.hand[i].annotations) {
for (const key of Object.keys(newResult.hand[i].annotations)) { for (const key of Object.keys(newResult.hand[i].annotations)) {
annotations3[key] = newResult.hand[i].annotations[key] && newResult.hand[i].annotations[key][0] ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; annotations2[key] = newResult.hand[i].annotations[key] && newResult.hand[i].annotations[key][0] ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null;
} }
} }
bufferedResult.hand[i] = { ...newResult.hand[i], box: box4, boxRaw: boxRaw2, keypoints: keypoints3, annotations: annotations3 }; bufferedResult.hand[i] = { ...newResult.hand[i], box: box4, boxRaw: boxRaw2, keypoints: keypoints3, annotations: annotations2 };
} }
} }
if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) { if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) {

523
dist/human.node.js vendored
View File

@ -216,7 +216,7 @@ var config = {
}, },
maxDetected: -1, maxDetected: -1,
minConfidence: 0.2, minConfidence: 0.2,
skipFrames: 1 skipFrames: 5
}, },
hand: { hand: {
enabled: true, enabled: true,
@ -1200,6 +1200,8 @@ function process2(input, config3) {
tempCanvas.height = targetHeight; tempCanvas.height = targetHeight;
const tempCtx = tempCanvas.getContext("2d"); const tempCtx = tempCanvas.getContext("2d");
tempCtx == null ? void 0 : tempCtx.drawImage(outCanvas, 0, 0); tempCtx == null ? void 0 : tempCtx.drawImage(outCanvas, 0, 0);
console.log("PIXELS", tempCanvas);
pixels = tf2.browser && env2.browser ? tf2.browser.fromPixels(tempCanvas) : null;
try { try {
pixels = tf2.browser && env2.browser ? tf2.browser.fromPixels(tempCanvas) : null; pixels = tf2.browser && env2.browser ? tf2.browser.fromPixels(tempCanvas) : null;
} catch (err) { } catch (err) {
@ -8780,11 +8782,11 @@ var HandPipeline = class {
const rawCoords = await keypointsReshaped.array(); const rawCoords = await keypointsReshaped.array();
tf12.dispose(keypoints3); tf12.dispose(keypoints3);
tf12.dispose(keypointsReshaped); tf12.dispose(keypointsReshaped);
const coords4 = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix); const coords7 = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);
const nextBoundingBox = this.getBoxForHandLandmarks(coords4); const nextBoundingBox = this.getBoxForHandLandmarks(coords7);
this.storedBoxes[i] = { ...nextBoundingBox, confidence }; this.storedBoxes[i] = { ...nextBoundingBox, confidence };
const result = { const result = {
landmarks: coords4, landmarks: coords7,
confidence, confidence,
boxConfidence: currentBox.confidence, boxConfidence: currentBox.confidence,
fingerConfidence: confidence, fingerConfidence: confidence,
@ -9211,10 +9213,10 @@ async function predict5(input, config3) {
return []; return [];
const hands = []; const hands = [];
for (let i = 0; i < predictions.length; i++) { for (let i = 0; i < predictions.length; i++) {
const annotations3 = {}; const annotations2 = {};
if (predictions[i].landmarks) { if (predictions[i].landmarks) {
for (const key of Object.keys(meshAnnotations2)) { for (const key of Object.keys(meshAnnotations2)) {
annotations3[key] = meshAnnotations2[key].map((index) => predictions[i].landmarks[index]); annotations2[key] = meshAnnotations2[key].map((index) => predictions[i].landmarks[index]);
} }
} }
const keypoints3 = predictions[i].landmarks; const keypoints3 = predictions[i].landmarks;
@ -9258,7 +9260,7 @@ async function predict5(input, config3) {
box: box4, box: box4,
boxRaw: boxRaw2, boxRaw: boxRaw2,
keypoints: keypoints3, keypoints: keypoints3,
annotations: annotations3, annotations: annotations2,
landmarks landmarks
}); });
} }
@ -9297,9 +9299,9 @@ async function load7(config3) {
} }
// src/util/box.ts // src/util/box.ts
function scale(keypoints3, boxScaleFact2, outputSize3) { function scale(keypoints3, boxScaleFact2, outputSize2) {
const coords4 = [keypoints3.map((pt) => pt[0]), keypoints3.map((pt) => pt[1])]; const coords7 = [keypoints3.map((pt) => pt[0]), keypoints3.map((pt) => pt[1])];
const maxmin = [Math.max(...coords4[0]), Math.min(...coords4[0]), Math.max(...coords4[1]), Math.min(...coords4[1])]; const maxmin = [Math.max(...coords7[0]), Math.min(...coords7[0]), Math.max(...coords7[1]), Math.min(...coords7[1])];
const center = [(maxmin[0] + maxmin[1]) / 2, (maxmin[2] + maxmin[3]) / 2]; const center = [(maxmin[0] + maxmin[1]) / 2, (maxmin[2] + maxmin[3]) / 2];
const diff = Math.max(center[0] - maxmin[1], center[1] - maxmin[3], -center[0] + maxmin[0], -center[1] + maxmin[2]) * boxScaleFact2; const diff = Math.max(center[0] - maxmin[1], center[1] - maxmin[3], -center[0] + maxmin[0], -center[1] + maxmin[2]) * boxScaleFact2;
const box4 = [ const box4 = [
@ -9309,10 +9311,10 @@ function scale(keypoints3, boxScaleFact2, outputSize3) {
Math.trunc(2 * diff) Math.trunc(2 * diff)
]; ];
const boxRaw2 = [ const boxRaw2 = [
box4[0] / outputSize3[0], box4[0] / outputSize2[0],
box4[1] / outputSize3[1], box4[1] / outputSize2[1],
box4[2] / outputSize3[0], box4[2] / outputSize2[0],
box4[3] / outputSize3[1] box4[3] / outputSize2[1]
]; ];
const yxBox = [ const yxBox = [
boxRaw2[1], boxRaw2[1],
@ -9502,10 +9504,10 @@ async function predict6(input, config3) {
} }
// src/body/blazepose.ts // src/body/blazepose.ts
var tf15 = __toModule(require_tfjs_esm()); var tf15 = __toModule(require("@tensorflow/tfjs"));
// src/body/annotations.ts // src/body/blazeposecoords.ts
var full = [ var kpt = [
"nose", "nose",
"leftEyeInside", "leftEyeInside",
"leftEye", "leftEye",
@ -9539,58 +9541,38 @@ var full = [
"rightHeel", "rightHeel",
"leftFoot", "leftFoot",
"rightFoot", "rightFoot",
"midHip", "bodyCenter",
"forehead", "bodyTop",
"leftThumb", "leftThumb",
"leftHand", "leftHand",
"rightThumb", "rightThumb",
"rightHand" "rightHand"
]; ];
var upper = [ var connected = {
"nose", leftLeg: ["leftHip", "leftKnee", "leftAnkle", "leftHeel", "leftFoot"],
"leftEyeInside", rightLeg: ["rightHip", "rightKnee", "rightAnkle", "rightHeel", "rightFoot"],
"leftEye", torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
"leftEyeOutside", leftArm: ["leftShoulder", "leftElbow", "leftWrist", "leftPalm"],
"rightEyeInside", rightArm: ["rightShoulder", "rightElbow", "rightWrist", "rightPalm"],
"rightEye", leftHand: [],
"rightEyeOutside", rightHand: [],
"leftEar", head: []
"rightEar", };
"leftMouth",
"rightMouth",
"leftShoulder",
"rightShoulder",
"leftElbow",
"rightElbow",
"left:15",
"right:16",
"left:17",
"right:18",
"left:19",
"right:20",
"left:21",
"right:22",
"leftChest",
"rightChest",
"neck",
"forehead",
"left:27",
"right:28",
"left:29",
"right:30"
];
// src/body/blazepose.ts // src/body/blazepose.ts
var env3 = { initial: true };
var models2 = [null, null]; var models2 = [null, null];
var outputNodes = ["ld_3d", "activation_segmentation", "activation_heatmap", "world_3d", "output_poseflag"];
var inputSize5 = [[0, 0], [0, 0]]; var inputSize5 = [[0, 0], [0, 0]];
var outputSize2 = [0, 0]; var skipped5 = Number.MAX_SAFE_INTEGER;
var outputNodes;
var cache2 = null;
var padding = [[0, 0], [0, 0], [0, 0], [0, 0]];
async function loadDetect2(config3) { async function loadDetect2(config3) {
var _a; var _a, _b;
if (env2.initial) if (env3.initial)
models2[0] = null; models2[0] = null;
if (!models2[0]) { if (!models2[0] && ((_a = config3.body.detector) == null ? void 0 : _a.modelPath) || "") {
models2[0] = await tf15.loadGraphModel(join(config3.modelBasePath, ((_a = config3.body.detector) == null ? void 0 : _a.modelPath) || "")); models2[0] = await tf15.loadGraphModel(join(config3.modelBasePath, ((_b = config3.body.detector) == null ? void 0 : _b.modelPath) || ""));
const inputs = Object.values(models2[0].modelSignature["inputs"]); const inputs = Object.values(models2[0].modelSignature["inputs"]);
inputSize5[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; inputSize5[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
inputSize5[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; inputSize5[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
@ -9598,18 +9580,23 @@ async function loadDetect2(config3) {
log("load model failed:", config3.object.modelPath); log("load model failed:", config3.object.modelPath);
else if (config3.debug) else if (config3.debug)
log("load model:", models2[0]["modelUrl"]); log("load model:", models2[0]["modelUrl"]);
} else if (config3.debug) } else if (config3.debug && models2[0])
log("cached model:", models2[0]["modelUrl"]); log("cached model:", models2[0]["modelUrl"]);
return models2[0]; return models2[0];
} }
async function loadPose(config3) { async function loadPose(config3) {
if (env2.initial) var _a;
if (env3.initial)
models2[1] = null; models2[1] = null;
if (!models2[1]) { if (!models2[1]) {
models2[1] = await tf15.loadGraphModel(join(config3.modelBasePath, config3.body.modelPath || "")); models2[1] = await tf15.loadGraphModel(join(config3.modelBasePath, config3.body.modelPath || ""));
const inputs = Object.values(models2[1].modelSignature["inputs"]); const inputs = Object.values(models2[1].modelSignature["inputs"]);
inputSize5[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; inputSize5[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;
inputSize5[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0; inputSize5[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
if ((_a = config3.body.modelPath) == null ? void 0 : _a.includes("lite"))
outputNodes = ["ld_3d", "output_segmentation", "output_heatmap", "world_3d", "output_poseflag"];
else
outputNodes = ["Identity", "Identity_2", "Identity_3", "Identity_4", "Identity_1"];
if (!models2[1] || !models2[1]["modelUrl"]) if (!models2[1] || !models2[1]["modelUrl"])
log("load model failed:", config3.object.modelPath); log("load model failed:", config3.object.modelPath);
else if (config3.debug) else if (config3.debug)
@ -9618,64 +9605,128 @@ async function loadPose(config3) {
log("cached model:", models2[1]["modelUrl"]); log("cached model:", models2[1]["modelUrl"]);
return models2[1]; return models2[1];
} }
async function detectParts(input, config3) { function calculateBoxes(keypoints3, outputSize2) {
var _a;
const t = {};
t.resize = tf15.image.resizeBilinear(input, [inputSize5[1][0], inputSize5[1][1]]);
[t.ld, t.segmentation, t.heatmap, t.world, t.poseflag] = await ((_a = models2[1]) == null ? void 0 : _a.execute(t.resize, outputNodes));
const points = await t.ld.data();
const keypoints3 = [];
const labels2 = (points == null ? void 0 : points.length) === 195 ? full : upper;
const depth = 5;
for (let i = 0; i < points.length / depth; i++) {
const score3 = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 3])))) / 100;
if (score3 > (config3.body.minConfidence || 0)) {
keypoints3.push({
part: labels2[i],
position: [
Math.trunc(outputSize2[0] * points[depth * i + 0] / 255),
Math.trunc(outputSize2[1] * points[depth * i + 1] / 255),
Math.trunc(points[depth * i + 2]) + 0
],
positionRaw: [
points[depth * i + 0] / 255,
points[depth * i + 1] / 255,
points[depth * i + 2] + 0
],
score: score3
});
}
}
const x = keypoints3.map((a) => a.position[0]); const x = keypoints3.map((a) => a.position[0]);
const y = keypoints3.map((a) => a.position[1]); const y = keypoints3.map((a) => a.position[1]);
const box4 = [ const keypointsBox = [Math.min(...x), Math.min(...y), Math.max(...x) - Math.min(...x), Math.max(...y) - Math.min(...y)];
Math.min(...x), const keypointsBoxRaw = [keypointsBox[0] / outputSize2[0], keypointsBox[1] / outputSize2[1], keypointsBox[2] / outputSize2[0], keypointsBox[3] / outputSize2[1]];
Math.min(...y), return { keypointsBox, keypointsBoxRaw };
Math.max(...x) - Math.min(...x), }
Math.max(...y) - Math.min(...x) async function prepareImage(input) {
const t = {};
if (!input.shape || !input.shape[1] || !input.shape[2])
return input;
padding = [
[0, 0],
[input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0],
[input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0],
[0, 0]
]; ];
const boxRaw2 = [0, 0, 0, 0]; t.pad = tf15.pad(input, padding);
const score2 = keypoints3.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); t.resize = tf15.image.resizeBilinear(t.pad, [inputSize5[1][0], inputSize5[1][1]]);
const final = tf15.div(t.resize, 255);
Object.keys(t).forEach((tensor3) => tf15.dispose(t[tensor3])); Object.keys(t).forEach((tensor3) => tf15.dispose(t[tensor3]));
return { id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints3 }; return final;
}
function rescaleKeypoints(keypoints3, outputSize2) {
for (const kpt4 of keypoints3) {
kpt4.position = [
kpt4.position[0] * (outputSize2[0] + padding[2][0] + padding[2][1]) / outputSize2[0] - padding[2][0],
kpt4.position[1] * (outputSize2[1] + padding[1][0] + padding[1][1]) / outputSize2[1] - padding[1][0],
kpt4.position[2]
];
kpt4.positionRaw = [
kpt4.position[0] / outputSize2[0],
kpt4.position[1] / outputSize2[1],
kpt4.position[2]
];
}
return keypoints3;
}
async function detectParts(input, config3, outputSize2) {
var _a;
const t = {};
t.input = await prepareImage(input);
[t.ld, t.segmentation, t.heatmap, t.world, t.poseflag] = await ((_a = models2[1]) == null ? void 0 : _a.execute(t.input, outputNodes));
const points = await t.ld.data();
const keypointsRelative = [];
const depth = 5;
for (let i = 0; i < points.length / depth; i++) {
const score2 = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 3])))) / 100;
const positionRaw = [points[depth * i + 0] / inputSize5[1][0], points[depth * i + 1] / inputSize5[1][1], points[depth * i + 2] + 0];
const position = [Math.trunc(outputSize2[0] * positionRaw[0]), Math.trunc(outputSize2[1] * positionRaw[1]), positionRaw[2]];
keypointsRelative.push({ part: kpt[i], positionRaw, position, score: score2 });
}
const avgScore = Math.round(100 * keypointsRelative.reduce((prev, curr) => prev += curr.score, 0) / keypointsRelative.length) / 100;
if (avgScore < (config3.body.minConfidence || 0))
return null;
const keypoints3 = rescaleKeypoints(keypointsRelative, outputSize2);
const boxes = calculateBoxes(keypoints3, [outputSize2[0], outputSize2[1]]);
Object.keys(t).forEach((tensor3) => tf15.dispose(t[tensor3]));
const annotations2 = {};
for (const [name, indexes] of Object.entries(connected)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints3.find((kpt4) => kpt4.part === indexes[i]);
const pt1 = keypoints3.find((kpt4) => kpt4.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
return { id: 0, score: avgScore, box: boxes.keypointsBox, boxRaw: boxes.keypointsBoxRaw, keypoints: keypoints3, annotations: annotations2 };
} }
async function predict7(input, config3) { async function predict7(input, config3) {
outputSize2 = [input.shape[2] || 0, input.shape[1] || 0]; const outputSize2 = [input.shape[2] || 0, input.shape[1] || 0];
const bodies = []; if (skipped5 < (config3.body.skipFrames || 0) && config3.skipFrame) {
const body4 = await detectParts(input, config3); skipped5++;
bodies.push(body4); } else {
return bodies; cache2 = await detectParts(input, config3, outputSize2);
skipped5 = 0;
}
if (cache2)
return [cache2];
return [];
} }
// src/body/efficientpose.ts // src/body/efficientpose.ts
var tf16 = __toModule(require_tfjs_esm()); var tf16 = __toModule(require_tfjs_esm());
// src/body/efficientposecoords.ts
var kpt2 = [
"head",
"neck",
"rightShoulder",
"rightElbow",
"rightWrist",
"chest",
"leftShoulder",
"leftElbow",
"leftWrist",
"bodyCenter",
"rightHip",
"rightKnee",
"rightAnkle",
"leftHip",
"leftKnee",
"leftAnkle"
];
var connected2 = {
leftLeg: ["leftHip", "leftKnee", "leftAnkle"],
rightLeg: ["rightHip", "rightKnee", "rightAnkle"],
torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
leftArm: ["leftShoulder", "leftElbow", "leftWrist"],
rightArm: ["rightShoulder", "rightElbow", "rightWrist"],
head: []
};
// src/body/efficientpose.ts
var model7; var model7;
var keypoints = []; var keypoints = [];
var box3 = [0, 0, 0, 0]; var box3 = [0, 0, 0, 0];
var boxRaw = [0, 0, 0, 0]; var boxRaw = [0, 0, 0, 0];
var score = 0; var score = 0;
var skipped5 = Number.MAX_SAFE_INTEGER; var skipped6 = Number.MAX_SAFE_INTEGER;
var bodyParts = ["head", "neck", "rightShoulder", "rightElbow", "rightWrist", "chest", "leftShoulder", "leftElbow", "leftWrist", "pelvis", "rightHip", "rightKnee", "rightAnkle", "leftHip", "leftKnee", "leftAnkle"];
async function load8(config3) { async function load8(config3) {
if (env2.initial) if (env2.initial)
model7 = null; model7 = null;
@ -9696,9 +9747,9 @@ function max2d(inputs, minScore) {
const reshaped = tf16.reshape(inputs, [height * width]); const reshaped = tf16.reshape(inputs, [height * width]);
const newScore = tf16.max(reshaped, 0).dataSync()[0]; const newScore = tf16.max(reshaped, 0).dataSync()[0];
if (newScore > minScore) { if (newScore > minScore) {
const coords4 = tf16.argMax(reshaped, 0); const coordinates = tf16.argMax(reshaped, 0);
const x = mod(coords4, width).dataSync()[0]; const x = mod(coordinates, width).dataSync()[0];
const y = tf16.div(coords4, tf16.scalar(width, "int32")).dataSync()[0]; const y = tf16.div(coordinates, tf16.scalar(width, "int32")).dataSync()[0];
return [x, y, newScore]; return [x, y, newScore];
} }
return [0, 0, newScore]; return [0, 0, newScore];
@ -9706,11 +9757,11 @@ function max2d(inputs, minScore) {
} }
async function predict8(image24, config3) { async function predict8(image24, config3) {
var _a; var _a;
if (skipped5 < (((_a = config3.body) == null ? void 0 : _a.skipFrames) || 0) && config3.skipFrame && Object.keys(keypoints).length > 0) { if (skipped6 < (((_a = config3.body) == null ? void 0 : _a.skipFrames) || 0) && config3.skipFrame && Object.keys(keypoints).length > 0) {
skipped5++; skipped6++;
return [{ id: 0, score, box: box3, boxRaw, keypoints }]; return [{ id: 0, score, box: box3, boxRaw, keypoints, annotations: {} }];
} }
skipped5 = 0; skipped6 = 0;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
var _a2; var _a2;
const tensor3 = tf16.tidy(() => { const tensor3 = tf16.tidy(() => {
@ -9736,7 +9787,7 @@ async function predict8(image24, config3) {
if (score > (((_a2 = config3.body) == null ? void 0 : _a2.minConfidence) || 0)) { if (score > (((_a2 = config3.body) == null ? void 0 : _a2.minConfidence) || 0)) {
keypoints.push({ keypoints.push({
score: Math.round(100 * partScore) / 100, score: Math.round(100 * partScore) / 100,
part: bodyParts[id], part: kpt2[id],
positionRaw: [ positionRaw: [
x2 / model7.inputs[0].shape[2], x2 / model7.inputs[0].shape[2],
y2 / model7.inputs[0].shape[1] y2 / model7.inputs[0].shape[1]
@ -9767,18 +9818,59 @@ async function predict8(image24, config3) {
Math.max(...xRaw) - Math.min(...xRaw), Math.max(...xRaw) - Math.min(...xRaw),
Math.max(...yRaw) - Math.min(...yRaw) Math.max(...yRaw) - Math.min(...yRaw)
]; ];
resolve([{ id: 0, score, box: box3, boxRaw, keypoints }]); const annotations2 = {};
for (const [name, indexes] of Object.entries(connected2)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints.find((kpt4) => kpt4.part === indexes[i]);
const pt1 = keypoints.find((kpt4) => kpt4.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
resolve([{ id: 0, score, box: box3, boxRaw, keypoints, annotations: annotations2 }]);
}); });
} }
// src/body/movenet.ts // src/body/movenet.ts
var tf17 = __toModule(require_tfjs_esm()); var tf17 = __toModule(require_tfjs_esm());
// src/body/movenetcoords.ts
var kpt3 = [
"nose",
"leftEye",
"rightEye",
"leftEar",
"rightEar",
"leftShoulder",
"rightShoulder",
"leftElbow",
"rightElbow",
"leftWrist",
"rightWrist",
"leftHip",
"rightHip",
"leftKnee",
"rightKnee",
"leftAnkle",
"rightAnkle"
];
var connected3 = {
leftLeg: ["leftHip", "leftKnee", "leftAnkle"],
rightLeg: ["rightHip", "rightKnee", "rightAnkle"],
torso: ["leftShoulder", "rightShoulder", "rightHip", "leftHip", "leftShoulder"],
leftArm: ["leftShoulder", "leftElbow", "leftWrist"],
rightArm: ["rightShoulder", "rightElbow", "rightWrist"],
head: []
};
// src/body/movenet.ts
var model8; var model8;
var inputSize6 = 0; var inputSize6 = 0;
var cachedBoxes = []; var cachedBoxes = [];
var skipped6 = Number.MAX_SAFE_INTEGER; var skipped7 = Number.MAX_SAFE_INTEGER;
var keypoints2 = []; var keypoints2 = [];
var bodyParts2 = ["nose", "leftEye", "rightEye", "leftEar", "rightEar", "leftShoulder", "rightShoulder", "leftElbow", "rightElbow", "leftWrist", "rightWrist", "leftHip", "rightHip", "leftKnee", "rightKnee", "leftAnkle", "rightAnkle"];
async function load9(config3) { async function load9(config3) {
if (env2.initial) if (env2.initial)
model8 = null; model8 = null;
@ -9816,19 +9908,19 @@ function createBox2(points) {
return [box4, boxRaw2]; return [box4, boxRaw2];
} }
async function parseSinglePose(res, config3, image24, inputBox) { async function parseSinglePose(res, config3, image24, inputBox) {
const kpt = res[0][0]; const kpt4 = res[0][0];
keypoints2.length = 0; keypoints2.length = 0;
let score2 = 0; let score2 = 0;
for (let id = 0; id < kpt.length; id++) { for (let id = 0; id < kpt4.length; id++) {
score2 = kpt[id][2]; score2 = kpt4[id][2];
if (score2 > config3.body.minConfidence) { if (score2 > config3.body.minConfidence) {
const positionRaw = [ const positionRaw = [
(inputBox[3] - inputBox[1]) * kpt[id][1] + inputBox[1], (inputBox[3] - inputBox[1]) * kpt4[id][1] + inputBox[1],
(inputBox[2] - inputBox[0]) * kpt[id][0] + inputBox[0] (inputBox[2] - inputBox[0]) * kpt4[id][0] + inputBox[0]
]; ];
keypoints2.push({ keypoints2.push({
score: Math.round(100 * score2) / 100, score: Math.round(100 * score2) / 100,
part: bodyParts2[id], part: kpt3[id],
positionRaw, positionRaw,
position: [ position: [
Math.round((image24.shape[2] || 0) * positionRaw[0]), Math.round((image24.shape[2] || 0) * positionRaw[0]),
@ -9840,25 +9932,36 @@ async function parseSinglePose(res, config3, image24, inputBox) {
score2 = keypoints2.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0); score2 = keypoints2.reduce((prev, curr) => curr.score > prev ? curr.score : prev, 0);
const bodies = []; const bodies = [];
const [box4, boxRaw2] = createBox2(keypoints2); const [box4, boxRaw2] = createBox2(keypoints2);
bodies.push({ id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints2 }); const annotations2 = {};
for (const [name, indexes] of Object.entries(connected3)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints2.find((kp) => kp.part === indexes[i]);
const pt1 = keypoints2.find((kp) => kp.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
bodies.push({ id: 0, score: score2, box: box4, boxRaw: boxRaw2, keypoints: keypoints2, annotations: annotations2 });
return bodies; return bodies;
} }
async function parseMultiPose(res, config3, image24, inputBox) { async function parseMultiPose(res, config3, image24, inputBox) {
const bodies = []; const bodies = [];
for (let id = 0; id < res[0].length; id++) { for (let id = 0; id < res[0].length; id++) {
const kpt = res[0][id]; const kpt4 = res[0][id];
const totalScore = Math.round(100 * kpt[51 + 4]) / 100; const totalScore = Math.round(100 * kpt4[51 + 4]) / 100;
if (totalScore > config3.body.minConfidence) { if (totalScore > config3.body.minConfidence) {
keypoints2.length = 0; keypoints2.length = 0;
for (let i = 0; i < 17; i++) { for (let i = 0; i < 17; i++) {
const score2 = kpt[3 * i + 2]; const score2 = kpt4[3 * i + 2];
if (score2 > config3.body.minConfidence) { if (score2 > config3.body.minConfidence) {
const positionRaw = [ const positionRaw = [
(inputBox[3] - inputBox[1]) * kpt[3 * i + 1] + inputBox[1], (inputBox[3] - inputBox[1]) * kpt4[3 * i + 1] + inputBox[1],
(inputBox[2] - inputBox[0]) * kpt[3 * i + 0] + inputBox[0] (inputBox[2] - inputBox[0]) * kpt4[3 * i + 0] + inputBox[0]
]; ];
keypoints2.push({ keypoints2.push({
part: bodyParts2[i], part: kpt3[i],
score: Math.round(100 * score2) / 100, score: Math.round(100 * score2) / 100,
positionRaw, positionRaw,
position: [ position: [
@ -9868,9 +9971,19 @@ async function parseMultiPose(res, config3, image24, inputBox) {
}); });
} }
} }
const boxRaw2 = [kpt[51 + 1], kpt[51 + 0], kpt[51 + 3] - kpt[51 + 1], kpt[51 + 2] - kpt[51 + 0]]; const [box4, boxRaw2] = createBox2(keypoints2);
const box4 = [Math.trunc(boxRaw2[0] * (image24.shape[2] || 0)), Math.trunc(boxRaw2[1] * (image24.shape[1] || 0)), Math.trunc(boxRaw2[2] * (image24.shape[2] || 0)), Math.trunc(boxRaw2[3] * (image24.shape[1] || 0))]; const annotations2 = {};
bodies.push({ id, score: totalScore, boxRaw: boxRaw2, box: box4, keypoints: [...keypoints2] }); for (const [name, indexes] of Object.entries(connected3)) {
const pt = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints2.find((kp) => kp.part === indexes[i]);
const pt1 = keypoints2.find((kp) => kp.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config3.body.minConfidence || 0) && pt1.score > (config3.body.minConfidence || 0))
pt.push([pt0.position, pt1.position]);
}
annotations2[name] = pt;
}
bodies.push({ id, score: totalScore, boxRaw: boxRaw2, box: box4, keypoints: [...keypoints2], annotations: annotations2 });
} }
} }
bodies.sort((a, b) => b.score - a.score); bodies.sort((a, b) => b.score - a.score);
@ -9886,7 +9999,7 @@ async function predict9(input, config3) {
let bodies = []; let bodies = [];
if (!config3.skipFrame) if (!config3.skipFrame)
cachedBoxes.length = 0; cachedBoxes.length = 0;
skipped6++; skipped7++;
for (let i = 0; i < cachedBoxes.length; i++) { for (let i = 0; i < cachedBoxes.length; i++) {
t.crop = tf17.image.cropAndResize(input, [cachedBoxes[i]], [0], [inputSize6, inputSize6], "bilinear"); t.crop = tf17.image.cropAndResize(input, [cachedBoxes[i]], [0], [inputSize6, inputSize6], "bilinear");
t.cast = tf17.cast(t.crop, "int32"); t.cast = tf17.cast(t.crop, "int32");
@ -9896,7 +10009,7 @@ async function predict9(input, config3) {
bodies = bodies.concat(newBodies); bodies = bodies.concat(newBodies);
Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3])); Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3]));
} }
if (bodies.length !== config3.body.maxDetected && skipped6 > (config3.body.skipFrames || 0)) { if (bodies.length !== config3.body.maxDetected && skipped7 > (config3.body.skipFrames || 0)) {
t.resized = tf17.image.resizeBilinear(input, [inputSize6, inputSize6], false); t.resized = tf17.image.resizeBilinear(input, [inputSize6, inputSize6], false);
t.cast = tf17.cast(t.resized, "int32"); t.cast = tf17.cast(t.resized, "int32");
t.res = await (model8 == null ? void 0 : model8.predict(t.cast)); t.res = await (model8 == null ? void 0 : model8.predict(t.cast));
@ -9904,13 +10017,13 @@ async function predict9(input, config3) {
bodies = t.res.shape[2] === 17 ? await parseSinglePose(res, config3, input, [0, 0, 1, 1]) : await parseMultiPose(res, config3, input, [0, 0, 1, 1]); bodies = t.res.shape[2] === 17 ? await parseSinglePose(res, config3, input, [0, 0, 1, 1]) : await parseMultiPose(res, config3, input, [0, 0, 1, 1]);
Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3])); Object.keys(t).forEach((tensor3) => tf17.dispose(t[tensor3]));
cachedBoxes.length = 0; cachedBoxes.length = 0;
skipped6 = 0; skipped7 = 0;
} }
if (config3.skipFrame) { if (config3.skipFrame) {
cachedBoxes.length = 0; cachedBoxes.length = 0;
for (let i = 0; i < bodies.length; i++) { for (let i = 0; i < bodies.length; i++) {
if (bodies[i].keypoints.length > 10) { if (bodies[i].keypoints.length > 10) {
const kpts = bodies[i].keypoints.map((kpt) => kpt.position); const kpts = bodies[i].keypoints.map((kpt4) => kpt4.position);
const newBox = scale(kpts, 1.5, [input.shape[2], input.shape[1]]); const newBox = scale(kpts, 1.5, [input.shape[2], input.shape[1]]);
cachedBoxes.push([...newBox.yxBox]); cachedBoxes.push([...newBox.yxBox]);
} }
@ -10010,7 +10123,7 @@ var labels = [
// src/object/nanodet.ts // src/object/nanodet.ts
var model9; var model9;
var last3 = []; var last3 = [];
var skipped7 = Number.MAX_SAFE_INTEGER; var skipped8 = Number.MAX_SAFE_INTEGER;
var scaleBox = 2.5; var scaleBox = 2.5;
async function load10(config3) { async function load10(config3) {
if (!model9 || env2.initial) { if (!model9 || env2.initial) {
@ -10089,15 +10202,15 @@ async function process3(res, inputSize8, outputShape, config3) {
return results; return results;
} }
async function predict10(image24, config3) { async function predict10(image24, config3) {
if (skipped7 < (config3.object.skipFrames || 0) && config3.skipFrame && last3.length > 0) { if (skipped8 < (config3.object.skipFrames || 0) && config3.skipFrame && last3.length > 0) {
skipped7++; skipped8++;
return last3; return last3;
} }
skipped7 = 0; skipped8 = 0;
if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense")) if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
return last3; return last3;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
const outputSize3 = [image24.shape[2], image24.shape[1]]; const outputSize2 = [image24.shape[2], image24.shape[1]];
const resize = tf18.image.resizeBilinear(image24, [model9.inputSize, model9.inputSize], false); const resize = tf18.image.resizeBilinear(image24, [model9.inputSize, model9.inputSize], false);
const norm = tf18.div(resize, 255); const norm = tf18.div(resize, 255);
const transpose = norm.transpose([0, 3, 1, 2]); const transpose = norm.transpose([0, 3, 1, 2]);
@ -10107,7 +10220,7 @@ async function predict10(image24, config3) {
if (config3.object.enabled) if (config3.object.enabled)
objectT = await model9.predict(transpose); objectT = await model9.predict(transpose);
tf18.dispose(transpose); tf18.dispose(transpose);
const obj = await process3(objectT, model9.inputSize, outputSize3, config3); const obj = await process3(objectT, model9.inputSize, outputSize2, config3);
last3 = obj; last3 = obj;
resolve(obj); resolve(obj);
}); });
@ -10118,7 +10231,7 @@ var tf19 = __toModule(require_tfjs_esm());
var model10; var model10;
var inputSize7 = 0; var inputSize7 = 0;
var last4 = []; var last4 = [];
var skipped8 = Number.MAX_SAFE_INTEGER; var skipped9 = Number.MAX_SAFE_INTEGER;
async function load11(config3) { async function load11(config3) {
if (env2.initial) if (env2.initial)
model10 = null; model10 = null;
@ -10182,19 +10295,19 @@ async function process4(res, outputShape, config3) {
return results; return results;
} }
async function predict11(input, config3) { async function predict11(input, config3) {
if (skipped8 < (config3.object.skipFrames || 0) && config3.skipFrame && last4.length > 0) { if (skipped9 < (config3.object.skipFrames || 0) && config3.skipFrame && last4.length > 0) {
skipped8++; skipped9++;
return last4; return last4;
} }
skipped8 = 0; skipped9 = 0;
if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense")) if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
return last4; return last4;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
const outputSize3 = [input.shape[2], input.shape[1]]; const outputSize2 = [input.shape[2], input.shape[1]];
const resize = tf19.image.resizeBilinear(input, [inputSize7, inputSize7]); const resize = tf19.image.resizeBilinear(input, [inputSize7, inputSize7]);
const objectT = config3.object.enabled ? model10 == null ? void 0 : model10.execute(resize, ["tower_0/detections"]) : null; const objectT = config3.object.enabled ? model10 == null ? void 0 : model10.execute(resize, ["tower_0/detections"]) : null;
tf19.dispose(resize); tf19.dispose(resize);
const obj = await process4(objectT, outputSize3, config3); const obj = await process4(objectT, outputSize2, config3);
last4 = obj; last4 = obj;
resolve(obj); resolve(obj);
}); });
@ -10287,7 +10400,7 @@ async function process5(input, background, config3) {
// src/gear/gear-agegenderrace.ts // src/gear/gear-agegenderrace.ts
var tf21 = __toModule(require_tfjs_esm()); var tf21 = __toModule(require_tfjs_esm());
var model12; var model12;
var skipped9 = Number.MAX_SAFE_INTEGER; var skipped10 = Number.MAX_SAFE_INTEGER;
async function load13(config3) { async function load13(config3) {
if (env2.initial) if (env2.initial)
model12 = null; model12 = null;
@ -10467,7 +10580,6 @@ async function register(instance) {
log("error: humangl:", e.type); log("error: humangl:", e.type);
log("possible browser memory leak using webgl"); log("possible browser memory leak using webgl");
instance.emit("error"); instance.emit("error");
throw new Error("browser webgl error");
}); });
config2.canvas.addEventListener("webglcontextrestored", (e) => { config2.canvas.addEventListener("webglcontextrestored", (e) => {
log("error: humangl context restored:", e); log("error: humangl context restored:", e);
@ -10603,10 +10715,8 @@ async function check(instance, force = false) {
log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`); log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);
} }
} }
if (tf23.getBackend() === "humangl") { if (tf23.getBackend() === "webgpu") {
tf23.ENV.set("WEBGPU_USE_GLSL", true); tf23.ENV.set("WEBGPU_USE_GLSL", true);
tf23.ENV.set("WEBGL_PACK_DEPTHWISECONV", false);
tf23.ENV.set("WEBGL_USE_SHAPES_UNIFORMS", true);
} }
tf23.enableProdMode(); tf23.enableProdMode();
await tf23.ready(); await tf23.ready();
@ -10878,109 +10988,24 @@ async function body(inCanvas2, result, drawOptions) {
ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]); ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);
} }
} }
if (localOptions.drawPoints) { if (localOptions.drawPoints && result[i].keypoints) {
for (let pt = 0; pt < result[i].keypoints.length; pt++) { for (let pt = 0; pt < result[i].keypoints.length; pt++) {
ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + 2 * (result[i].keypoints[pt].position[2] || 0)}, ${127.5 - 2 * (result[i].keypoints[pt].position[2] || 0)}, 255, 0.5)` : localOptions.color; ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + 2 * (result[i].keypoints[pt].position[2] || 0)}, ${127.5 - 2 * (result[i].keypoints[pt].position[2] || 0)}, 255, 0.5)` : localOptions.color;
point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions); point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions);
} }
} }
if (localOptions.drawLabels) { if (localOptions.drawLabels && result[i].keypoints) {
ctx.font = localOptions.font; ctx.font = localOptions.font;
if (result[i].keypoints) { for (const pt of result[i].keypoints) {
for (const pt of result[i].keypoints) { ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + 2 * pt.position[2]}, ${127.5 - 2 * pt.position[2]}, 255, 0.5)` : localOptions.color;
ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + 2 * pt.position[2]}, ${127.5 - 2 * pt.position[2]}, 255, 0.5)` : localOptions.color; ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);
ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);
}
} }
} }
if (localOptions.drawPolygons && result[i].keypoints) { if (localOptions.drawPolygons && result[i].keypoints && result[i].annotations) {
let part; for (const part of Object.values(result[i].annotations)) {
const points = []; for (const connected4 of part)
points.length = 0; curves(ctx, connected4, localOptions);
part = result[i].keypoints.find((a) => a.part === "leftShoulder"); }
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
if (points.length === 4)
lines(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "leftHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftKnee");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftAnkle");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftHeel");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftFoot");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightHip");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightKnee");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightAnkle");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightHeel");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightFoot");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "leftShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftElbow");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftWrist");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "leftPalm");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
points.length = 0;
part = result[i].keypoints.find((a) => a.part === "rightShoulder");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightElbow");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightWrist");
if (part)
points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === "rightPalm");
if (part)
points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
} }
} }
} }
@ -11473,15 +11498,15 @@ function calc(newResult) {
if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length) if (bufferedResult.hand[i].keypoints.length !== newResult.hand[i].keypoints.length)
bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints; bufferedResult.hand[i].keypoints = newResult.hand[i].keypoints;
const keypoints3 = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : []; const keypoints3 = newResult.hand[i].keypoints && newResult.hand[i].keypoints.length > 0 ? newResult.hand[i].keypoints.map((landmark, j) => landmark.map((coord, k) => ((bufferedFactor - 1) * (bufferedResult.hand[i].keypoints[j][k] || 1) + (coord || 0)) / bufferedFactor)) : [];
const annotations3 = {}; const annotations2 = {};
if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length) if (Object.keys(bufferedResult.hand[i].annotations).length !== Object.keys(newResult.hand[i].annotations).length)
bufferedResult.hand[i].annotations = newResult.hand[i].annotations; bufferedResult.hand[i].annotations = newResult.hand[i].annotations;
if (newResult.hand[i].annotations) { if (newResult.hand[i].annotations) {
for (const key of Object.keys(newResult.hand[i].annotations)) { for (const key of Object.keys(newResult.hand[i].annotations)) {
annotations3[key] = newResult.hand[i].annotations[key] && newResult.hand[i].annotations[key][0] ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null; annotations2[key] = newResult.hand[i].annotations[key] && newResult.hand[i].annotations[key][0] ? newResult.hand[i].annotations[key].map((val, j) => val.map((coord, k) => ((bufferedFactor - 1) * bufferedResult.hand[i].annotations[key][j][k] + coord) / bufferedFactor)) : null;
} }
} }
bufferedResult.hand[i] = { ...newResult.hand[i], box: box4, boxRaw: boxRaw2, keypoints: keypoints3, annotations: annotations3 }; bufferedResult.hand[i] = { ...newResult.hand[i], box: box4, boxRaw: boxRaw2, keypoints: keypoints3, annotations: annotations2 };
} }
} }
if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) { if (!bufferedResult.face || newResult.face.length !== bufferedResult.face.length) {

2
src/body/annotations.ts
View File

@ -37,7 +37,7 @@ export const full = [
'rightHeel', 'rightHeel',
'leftFoot', 'leftFoot',
'rightFoot', 'rightFoot',
'midHip', 'bodyCenter',
'forehead', 'forehead',
'leftThumb', 'leftThumb',
'leftHand', 'leftHand',

73
src/body/blazepose-v1.ts
View File

@ -1,73 +0,0 @@
/**
* BlazePose model implementation
*
* Based on : [**BlazePose**](https://drive.google.com/file/d/10IU-DRP2ioSNjKFdiGbmmQX81xAYj88s/view)
*/
import { log, join } from '../util/util';
import * as tf from '../../dist/tfjs.esm.js';
import * as annotations from './annotations';
import type { Tensor, GraphModel } from '../tfjs/types';
import type { BodyResult, Box, Point } from '../result';
import type { Config } from '../config';
import { env } from '../util/env';
let model: GraphModel | null;
export async function load(config: Config): Promise<GraphModel> {
if (env.initial) model = null;
if (!model) {
model = await tf.loadGraphModel(join(config.modelBasePath, config.body.modelPath || '')) as unknown as GraphModel;
model['width'] = parseInt(model['signature'].inputs['input_1:0'].tensorShape.dim[2].size);
model['height'] = parseInt(model['signature'].inputs['input_1:0'].tensorShape.dim[1].size);
if (!model || !model['modelUrl']) log('load model failed:', config.body.modelPath);
else if (config.debug) log('load model:', model['modelUrl']);
} else if (config.debug) log('cached model:', model['modelUrl']);
return model;
}
export async function predict(image: Tensor, config: Config): Promise<BodyResult[]> {
if (!model) return [];
if (!config.body.enabled) return [];
const imgSize = { width: (image.shape[2] || 0), height: (image.shape[1] || 0) };
const resize = tf.image.resizeBilinear(image, [model['width'], model['height']], false);
const normalize = tf.div(resize, [255.0]);
tf.dispose(resize);
const resT = await model.predict(normalize) as Array<Tensor>;
const findT = resT.find((t) => (t.size === 195 || t.size === 155));
const points = await findT?.data() || []; // order of output tensors may change between models, full has 195 and upper has 155 items
resT.forEach((t) => tf.dispose(t));
tf.dispose(normalize);
const keypoints: Array<{ id, part, position: Point, positionRaw: Point, score, presence }> = [];
const labels = points?.length === 195 ? annotations.full : annotations.upper; // full model has 39 keypoints, upper has 31 keypoints
const depth = 5; // each points has x,y,z,visibility,presence
for (let i = 0; i < points.length / depth; i++) {
keypoints.push({
id: i,
part: labels[i],
position: [
Math.trunc(imgSize.width * points[depth * i + 0] / 255), // return normalized x value istead of 0..255
Math.trunc(imgSize.height * points[depth * i + 1] / 255), // return normalized y value istead of 0..255
Math.trunc(points[depth * i + 2]) + 0, // fix negative zero
],
positionRaw: [
points[depth * i + 0] / 255, // return x value normalized to 0..1
points[depth * i + 1] / 255, // return y value normalized to 0..1
points[depth * i + 2] + 0, // fix negative zero
],
score: (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 3])))) / 100, // reverse sigmoid value
presence: (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 4])))) / 100, // reverse sigmoid value
});
}
const x = keypoints.map((a) => a.position[0]);
const y = keypoints.map((a) => a.position[1]);
const box: Box = [
Math.min(...x),
Math.min(...y),
Math.max(...x) - Math.min(...x),
Math.max(...y) - Math.min(...x),
];
const boxRaw: Box = [0, 0, 0, 0]; // not yet implemented
const score = keypoints.reduce((prev, curr) => (curr.score > prev ? curr.score : prev), 0);
return [{ id: 0, score, box, boxRaw, keypoints }];
}

213
src/body/blazepose.ts
View File

@ -1,60 +1,33 @@
/** /**
* BlazePose model implementation * BlazePose model implementation
*
* Based on : [**BlazePose**](https://github.com/google/mediapipe/blob/master/mediapipe/modules/pose_detection)
*/ */
import * as tf from '@tensorflow/tfjs';
import { log, join } from '../util/util'; import { log, join } from '../util/util';
import * as tf from '../../dist/tfjs.esm.js'; import type { BodyKeypoint, BodyResult, Box, Point } from '../result';
import type { BodyResult, Box, Point } from '../result';
import type { GraphModel, Tensor } from '../tfjs/types'; import type { GraphModel, Tensor } from '../tfjs/types';
import type { Config } from '../config'; import type { Config } from '../config';
import { env } from '../util/env'; import * as coords from './blazeposecoords';
import * as annotations from './annotations';
// const boxScaleFact = 1.5; // hand finger model prefers slighly larger box const env = { initial: true };
const models: [GraphModel | null, GraphModel | null] = [null, null]; const models: [GraphModel | null, GraphModel | null] = [null, null];
const outputNodes = ['ld_3d', 'activation_segmentation', 'activation_heatmap', 'world_3d', 'output_poseflag'];
const inputSize = [[0, 0], [0, 0]]; const inputSize = [[0, 0], [0, 0]];
let skipped = Number.MAX_SAFE_INTEGER;
// let skipped = 0; let outputNodes: string[]; // different for lite/full/heavy
let outputSize: [number, number] = [0, 0]; let cache: BodyResult | null = null;
let padding: [number, number][] = [[0, 0], [0, 0], [0, 0], [0, 0]];
type Keypoints = { score: number, part: string, position: Point, positionRaw: Point };
/*
type BodyDetectResult = {
id: number,
score: number,
box: Box,
boxRaw: Box,
label: string,
yxBox: Box,
}
const cache: {
bodyBoxes: Array<BodyDetectResult>,
partBoxes: Array<BodyDetectResult>
tmpBoxes: Array<BodyDetectResult>
} = {
bodyBoxes: [],
partBoxes: [],
tmpBoxes: [],
};
*/
export async function loadDetect(config: Config): Promise<GraphModel> { export async function loadDetect(config: Config): Promise<GraphModel> {
if (env.initial) models[0] = null; if (env.initial) models[0] = null;
if (!models[0]) { if (!models[0] && config.body.detector?.modelPath || '') {
models[0] = await tf.loadGraphModel(join(config.modelBasePath, config.body.detector?.modelPath || '')) as unknown as GraphModel; models[0] = await tf.loadGraphModel(join(config.modelBasePath, config.body.detector?.modelPath || '')) as unknown as GraphModel;
const inputs = Object.values(models[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][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; inputSize[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
if (!models[0] || !models[0]['modelUrl']) log('load model failed:', config.object.modelPath); 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('load model:', models[0]['modelUrl']);
} else if (config.debug) log('cached model:', models[0]['modelUrl']); } else if (config.debug && models[0]) log('cached model:', models[0]['modelUrl']);
return models[0]; return models[0] as GraphModel;
} }
export async function loadPose(config: Config): Promise<GraphModel> { export async function loadPose(config: Config): Promise<GraphModel> {
@ -64,6 +37,8 @@ export async function loadPose(config: Config): Promise<GraphModel> {
const inputs = Object.values(models[1].modelSignature['inputs']); const inputs = Object.values(models[1].modelSignature['inputs']);
inputSize[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0; 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; inputSize[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;
if (config.body.modelPath?.includes('lite')) outputNodes = ['ld_3d', 'output_segmentation', 'output_heatmap', 'world_3d', 'output_poseflag'];
else outputNodes = ['Identity', 'Identity_2', 'Identity_3', 'Identity_4', 'Identity_1']; // v2 from pinto full and heavy
if (!models[1] || !models[1]['modelUrl']) log('load model failed:', config.object.modelPath); 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('load model:', models[1]['modelUrl']);
} else if (config.debug) log('cached model:', models[1]['modelUrl']); } else if (config.debug) log('cached model:', models[1]['modelUrl']);
@ -76,86 +51,104 @@ export async function load(config: Config): Promise<[GraphModel | null, GraphMod
return models; return models;
} }
/* function calculateBoxes(keypoints: Array<BodyKeypoint>, outputSize: [number, number]): { keypointsBox: Box, keypointsBoxRaw: Box } {
async function detectBody(input: Tensor, config: Config): Promise<BodyDetectResult[]> {
if ((config.body.detector?.modelPath.length || 0) > 0 && models[0]) {
const t: Record<string, Tensor> = {};
t.resize = tf.image.resizeBilinear(input, [inputSize[0][0], inputSize[0][1]]);
t.res = await models[0]?.predict(t.resize) as Tensor; // [1,2254,13]
t.logits = tf.slice(t.res, [0, 0, 0], [1, -1, 1]);
t.sigmoid = tf.sigmoid(t.logits);
t.rawBoxes = tf.slice(t.res, [0, 0, 1], [1, -1, -1]);
t.packedBoxes = tf.squeeze(t.rawBoxes); // [2254,12]
t.scores = tf.squeeze(t.sigmoid); // [2254,1]
// boxes need to be decoded based on anchors
Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));
}
return [];
}
*/
async function detectParts(input: Tensor, config: Config): Promise<BodyResult> {
const t: Record<string, Tensor> = {};
t.resize = tf.image.resizeBilinear(input, [inputSize[1][0], inputSize[1][1]]);
[t.ld/* 1,195 */, t.segmentation/* 1,256,256,1 */, t.heatmap/* 1,64,64,39 */, t.world/* 1,117 */, t.poseflag/* 1,1 */] = await models[1]?.execute(t.resize, outputNodes) as Tensor[]; // [1,2254,13]
const points = await t.ld.data();
const keypoints: Array<Keypoints> = [];
const labels = points?.length === 195 ? annotations.full : annotations.upper; // full model has 39 keypoints, upper has 31 keypoints
const depth = 5; // each points has x,y,z,visibility,presence
for (let i = 0; i < points.length / depth; i++) {
const score = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 3])))) / 100; // reverse sigmoid value
// const presence = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 4])))) / 100; // reverse sigmoid value
if (score > (config.body.minConfidence || 0)) {
keypoints.push({
part: labels[i],
position: [
Math.trunc(outputSize[0] * points[depth * i + 0] / 255), // return normalized x value istead of 0..255
Math.trunc(outputSize[1] * points[depth * i + 1] / 255), // return normalized y value istead of 0..255
Math.trunc(points[depth * i + 2]) + 0, // fix negative zero
],
positionRaw: [
points[depth * i + 0] / 255, // return x value normalized to 0..1
points[depth * i + 1] / 255, // return y value normalized to 0..1
points[depth * i + 2] + 0, // fix negative zero
],
score,
});
}
}
const x = keypoints.map((a) => a.position[0]); const x = keypoints.map((a) => a.position[0]);
const y = keypoints.map((a) => a.position[1]); const y = keypoints.map((a) => a.position[1]);
const box: Box = [ const keypointsBox: Box = [Math.min(...x), Math.min(...y), Math.max(...x) - Math.min(...x), Math.max(...y) - Math.min(...y)];
Math.min(...x), const keypointsBoxRaw: Box = [keypointsBox[0] / outputSize[0], keypointsBox[1] / outputSize[1], keypointsBox[2] / outputSize[0], keypointsBox[3] / outputSize[1]];
Math.min(...y), /*
Math.max(...x) - Math.min(...x), const leftShoulder = keypoints.find((kpt) => kpt.part === 'leftShoulder');
Math.max(...y) - Math.min(...x), const rightShoulder = keypoints.find((kpt) => kpt.part === 'rightShoulder');
if (!leftShoulder || !rightShoulder || !config.skipFrame) { // reset cache box coords
cache.box = [0, 0, 1, 1];
cache.boxRaw = cache.box;
} else { // recalculate cache box coords
const size = [leftShoulder.position[0] - rightShoulder.position[0], leftShoulder.position[1] - rightShoulder.position[1]];
const shoulderWidth = Math.sqrt((size[0] * size[0]) + (size[1] * size[1])); // distance between left and right shoulder
const shoulderCenter: Point = [(leftShoulder.position[0] + rightShoulder.position[0]) / 2, (leftShoulder.position[1] + rightShoulder.position[1]) / 2]; // center point between left and right shoulder
const bodyCenter: Point = [shoulderCenter[0], shoulderCenter[0] + (shoulderWidth), 0]; // approximate center of the body
const bodyCenterRaw: Point = [bodyCenter[0] / outputSize[0], bodyCenter[1] / outputSize[1], 0];
const bodyCenterKpt: Keypoint = { part: 'bodyCenter', positionRaw: bodyCenterRaw, position: bodyCenter, score: 1 }; // add virtual keypoint
keypoints.push(bodyCenterKpt);
const scaleFact = 2.5;
cache.box = [Math.trunc(bodyCenter[0] - (scaleFact * shoulderWidth)), Math.trunc(bodyCenter[1] - (scaleFact * shoulderWidth)), Math.trunc(2 * scaleFact * shoulderWidth), Math.trunc(2 * scaleFact * shoulderWidth)];
cache.boxRaw = [cache.box[0] / outputSize[0], cache.box[1] / outputSize[1], cache.box[2] / outputSize[0], cache.box[3] / outputSize[1]];
}
*/
return { keypointsBox, keypointsBoxRaw };
}
async function prepareImage(input: Tensor): Promise<Tensor> {
const t: Record<string, Tensor> = {};
if (!input.shape || !input.shape[1] || !input.shape[2]) return input;
padding = [
[0, 0], // dont touch batch
[input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0, input.shape[2] > input.shape[1] ? Math.trunc((input.shape[2] - input.shape[1]) / 2) : 0], // height before&after
[input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0, input.shape[1] > input.shape[2] ? Math.trunc((input.shape[1] - input.shape[2]) / 2) : 0], // width before&after
[0, 0], // dont touch rbg
]; ];
const boxRaw: Box = [0, 0, 0, 0]; // not yet implemented t.pad = tf.pad(input as tf.Tensor4D, padding);
const score = keypoints.reduce((prev, curr) => (curr.score > prev ? curr.score : prev), 0); t.resize = tf.image.resizeBilinear(t.pad as tf.Tensor4D, [inputSize[1][0], inputSize[1][1]]);
const final = tf.div(t.resize, 255);
Object.keys(t).forEach((tensor) => tf.dispose(t[tensor])); Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));
return { id: 0, score, box, boxRaw, keypoints }; return final;
}
function rescaleKeypoints(keypoints: Array<BodyKeypoint>, outputSize: [number, number]): Array<BodyKeypoint> {
for (const kpt of keypoints) {
kpt.position = [
kpt.position[0] * (outputSize[0] + padding[2][0] + padding[2][1]) / outputSize[0] - padding[2][0],
kpt.position[1] * (outputSize[1] + padding[1][0] + padding[1][1]) / outputSize[1] - padding[1][0],
kpt.position[2] as number,
];
kpt.positionRaw = [
kpt.position[0] / outputSize[0], kpt.position[1] / outputSize[1], kpt.position[2] as number,
];
}
return keypoints;
}
async function detectParts(input: Tensor, config: Config, outputSize: [number, number]): Promise<BodyResult | null> {
const t: Record<string, Tensor> = {};
t.input = await prepareImage(input);
[t.ld/* 1,195 */, t.segmentation/* 1,256,256,1 */, t.heatmap/* 1,64,64,39 */, t.world/* 1,117 */, t.poseflag/* 1,1 */] = await models[1]?.execute(t.input, outputNodes) as Tensor[]; // run model
const points = await t.ld.data();
const keypointsRelative: Array<BodyKeypoint> = [];
const depth = 5; // each points has x,y,z,visibility,presence
for (let i = 0; i < points.length / depth; i++) {
const score = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 3])))) / 100; // normally this is from tf.sigmoid but no point of running sigmoid on full array which has coords as well
// const presence = (100 - Math.trunc(100 / (1 + Math.exp(points[depth * i + 4])))) / 100; // reverse sigmoid value
const positionRaw: Point = [points[depth * i + 0] / inputSize[1][0], points[depth * i + 1] / inputSize[1][1], points[depth * i + 2] + 0];
const position: Point = [Math.trunc(outputSize[0] * positionRaw[0]), Math.trunc(outputSize[1] * positionRaw[1]), positionRaw[2] as number];
// if (positionRaw[0] < 0 || positionRaw[1] < 0 || positionRaw[0] > 1 || positionRaw[1] > 1) score = 0;
keypointsRelative.push({ part: coords.kpt[i], positionRaw, position, score });
}
const avgScore = Math.round(100 * keypointsRelative.reduce((prev, curr) => prev += curr.score, 0) / keypointsRelative.length) / 100; // average score of keypoints
if (avgScore < (config.body.minConfidence || 0)) return null;
const keypoints: Array<BodyKeypoint> = rescaleKeypoints(keypointsRelative, outputSize); // keypoints were relative to input image which is cropped
const boxes = calculateBoxes(keypoints, [outputSize[0], outputSize[1]]); // now find boxes based on rescaled keypoints
Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));
const annotations: Record<string, Point[][]> = {};
for (const [name, indexes] of Object.entries(coords.connected)) {
const pt: Array<Point[]> = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints.find((kpt) => kpt.part === indexes[i]);
const pt1 = keypoints.find((kpt) => kpt.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);
}
annotations[name] = pt;
}
return { id: 0, score: avgScore, box: boxes.keypointsBox, boxRaw: boxes.keypointsBoxRaw, keypoints, annotations };
} }
export async function predict(input: Tensor, config: Config): Promise<BodyResult[]> { export async function predict(input: Tensor, config: Config): Promise<BodyResult[]> {
outputSize = [input.shape[2] || 0, input.shape[1] || 0]; const outputSize: [number, number] = [input.shape[2] || 0, input.shape[1] || 0];
const bodies: Array<BodyResult> = []; if ((skipped < (config.body.skipFrames || 0)) && config.skipFrame) {
const body = await detectParts(input, config);
bodies.push(body);
/*
cache.tmpBoxes = []; // clear temp cache
if ((skipped < (config.body.skipFrames || 0)) && config.skipFrame) { // just run part detection while reusing cached boxes
skipped++; skipped++;
bodies = await Promise.all(cache.partBoxes.map((body) => detectParts(input, body, config))); // run from parts box cache } else {
} else { // calculate new boxes and run part detection cache = await detectParts(input, config, outputSize);
skipped = 0; skipped = 0;
bodies = await Promise.all(cache.partBoxes.map((body) => detectParts(input, body, config))); // run from part box cache
if (bodies.length !== config.body.maxDetected) { // run body detection only if we dont have enough bodies in cache
cache.bodyBoxes = await detectBody(input, config);
const newBodies = await Promise.all(cache.bodyBoxes.map((body) => detectParts(input, body, config)));
bodies = bodies.concat(newBodies);
}
} }
cache.partBoxes = [...cache.tmpBoxes]; // repopulate cache with validated bodies if (cache) return [cache];
*/ return [];
return bodies as BodyResult[];
} }

54
src/body/blazeposecoords.ts Normal file
View File

@ -0,0 +1,54 @@
/* eslint-disable no-multi-spaces */
export const kpt = [
'nose', // 0
'leftEyeInside', // 1
'leftEye', // 2
'leftEyeOutside', // 3
'rightEyeInside', // 4
'rightEye', // 5
'rightEyeOutside', // 6
'leftEar', // 7
'rightEar', // 8
'leftMouth', // 9
'rightMouth', // 10
'leftShoulder', // 11
'rightShoulder', // 12
'leftElbow', // 13
'rightElbow', // 14
'leftWrist', // 15
'rightWrist', // 16
'leftPalm', // 17
'rightPalm', // 18
'leftIndex', // 19
'rightIndex', // 20
'leftPinky', // 21
'rightPinky', // 22
'leftHip', // 23
'rightHip', // 24
'leftKnee', // 25
'rightKnee', // 26
'leftAnkle', // 27
'rightAnkle', // 28
'leftHeel', // 29
'rightHeel', // 30
'leftFoot', // 31
'rightFoot', // 32
'bodyCenter', // 33
'bodyTop', // 34
'leftThumb', // 35
'leftHand', // 36
'rightThumb', // 37
'rightHand', // 38
];
export const connected = {
leftLeg: ['leftHip', 'leftKnee', 'leftAnkle', 'leftHeel', 'leftFoot'],
rightLeg: ['rightHip', 'rightKnee', 'rightAnkle', 'rightHeel', 'rightFoot'],
torso: ['leftShoulder', 'rightShoulder', 'rightHip', 'leftHip', 'leftShoulder'],
leftArm: ['leftShoulder', 'leftElbow', 'leftWrist', 'leftPalm'],
rightArm: ['rightShoulder', 'rightElbow', 'rightWrist', 'rightPalm'],
leftHand: [],
rightHand: [],
head: [],
};

31
src/body/efficientpose.ts
View File

@ -6,23 +6,20 @@
import { log, join } from '../util/util'; import { log, join } from '../util/util';
import * as tf from '../../dist/tfjs.esm.js'; import * as tf from '../../dist/tfjs.esm.js';
import type { BodyResult, Box, Point } from '../result'; import * as coords from './efficientposecoords';
import type { BodyKeypoint, BodyResult, Box, Point } from '../result';
import type { GraphModel, Tensor } from '../tfjs/types'; import type { GraphModel, Tensor } from '../tfjs/types';
import type { Config } from '../config'; import type { Config } from '../config';
import { env } from '../util/env'; import { env } from '../util/env';
let model: GraphModel | null; let model: GraphModel | null;
type Keypoints = { score: number, part: string, position: Point, positionRaw: Point }; const keypoints: Array<BodyKeypoint> = [];
const keypoints: Array<Keypoints> = [];
let box: Box = [0, 0, 0, 0]; let box: Box = [0, 0, 0, 0];
let boxRaw: Box = [0, 0, 0, 0]; let boxRaw: Box = [0, 0, 0, 0];
let score = 0; let score = 0;
let skipped = Number.MAX_SAFE_INTEGER; let skipped = Number.MAX_SAFE_INTEGER;
const bodyParts = ['head', 'neck', 'rightShoulder', 'rightElbow', 'rightWrist', 'chest', 'leftShoulder', 'leftElbow', 'leftWrist', 'pelvis', 'rightHip', 'rightKnee', 'rightAnkle', 'leftHip', 'leftKnee', 'leftAnkle'];
export async function load(config: Config): Promise<GraphModel> { export async function load(config: Config): Promise<GraphModel> {
if (env.initial) model = null; if (env.initial) model = null;
if (!model) { if (!model) {
@ -41,9 +38,9 @@ function max2d(inputs, minScore) {
const reshaped = tf.reshape(inputs, [height * width]); // combine all data const reshaped = tf.reshape(inputs, [height * width]); // combine all data
const newScore = tf.max(reshaped, 0).dataSync()[0]; // get highest score // inside tf.tidy const newScore = tf.max(reshaped, 0).dataSync()[0]; // get highest score // inside tf.tidy
if (newScore > minScore) { // skip coordinate calculation is score is too low if (newScore > minScore) { // skip coordinate calculation is score is too low
const coords = tf.argMax(reshaped, 0); const coordinates = tf.argMax(reshaped, 0);
const x = mod(coords, width).dataSync()[0]; // inside tf.tidy const x = mod(coordinates, width).dataSync()[0]; // inside tf.tidy
const y = tf.div(coords, tf.scalar(width, 'int32')).dataSync()[0]; // inside tf.tidy const y = tf.div(coordinates, tf.scalar(width, 'int32')).dataSync()[0]; // inside tf.tidy
return [x, y, newScore]; return [x, y, newScore];
} }
return [0, 0, newScore]; return [0, 0, newScore];
@ -53,7 +50,7 @@ function max2d(inputs, minScore) {
export async function predict(image: Tensor, config: Config): Promise<BodyResult[]> { export async function predict(image: Tensor, config: Config): Promise<BodyResult[]> {
if ((skipped < (config.body?.skipFrames || 0)) && config.skipFrame && Object.keys(keypoints).length > 0) { if ((skipped < (config.body?.skipFrames || 0)) && config.skipFrame && Object.keys(keypoints).length > 0) {
skipped++; skipped++;
return [{ id: 0, score, box, boxRaw, keypoints }]; return [{ id: 0, score, box, boxRaw, keypoints, annotations: {} }];
} }
skipped = 0; skipped = 0;
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
@ -83,7 +80,7 @@ export async function predict(image: Tensor, config: Config): Promise<BodyResult
if (score > (config.body?.minConfidence || 0)) { if (score > (config.body?.minConfidence || 0)) {
keypoints.push({ keypoints.push({
score: Math.round(100 * partScore) / 100, score: Math.round(100 * partScore) / 100,
part: bodyParts[id], part: coords.kpt[id],
positionRaw: [ // normalized to 0..1 positionRaw: [ // normalized to 0..1
// @ts-ignore model is not undefined here // @ts-ignore model is not undefined here
x / model.inputs[0].shape[2], y / model.inputs[0].shape[1], x / model.inputs[0].shape[2], y / model.inputs[0].shape[1],
@ -114,6 +111,16 @@ export async function predict(image: Tensor, config: Config): Promise<BodyResult
Math.max(...xRaw) - Math.min(...xRaw), Math.max(...xRaw) - Math.min(...xRaw),
Math.max(...yRaw) - Math.min(...yRaw), Math.max(...yRaw) - Math.min(...yRaw),
]; ];
resolve([{ id: 0, score, box, boxRaw, keypoints }]); const annotations: Record<string, Point[][]> = {};
for (const [name, indexes] of Object.entries(coords.connected)) {
const pt: Array<Point[]> = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints.find((kpt) => kpt.part === indexes[i]);
const pt1 = keypoints.find((kpt) => kpt.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);
}
annotations[name] = pt;
}
resolve([{ id: 0, score, box, boxRaw, keypoints, annotations }]);
}); });
} }

27
src/body/efficientposecoords.ts Normal file
View File

@ -0,0 +1,27 @@
export const kpt = [
'head',
'neck',
'rightShoulder',
'rightElbow',
'rightWrist',
'chest',
'leftShoulder',
'leftElbow',
'leftWrist',
'bodyCenter',
'rightHip',
'rightKnee',
'rightAnkle',
'leftHip',
'leftKnee',
'leftAnkle',
];
export const connected = {
leftLeg: ['leftHip', 'leftKnee', 'leftAnkle'],
rightLeg: ['rightHip', 'rightKnee', 'rightAnkle'],
torso: ['leftShoulder', 'rightShoulder', 'rightHip', 'leftHip', 'leftShoulder'],
leftArm: ['leftShoulder', 'leftElbow', 'leftWrist'],
rightArm: ['rightShoulder', 'rightElbow', 'rightWrist'],
head: [],
};

50
src/body/movenet.ts
View File

@ -7,7 +7,8 @@
import { log, join } from '../util/util'; import { log, join } from '../util/util';
import { scale } from '../util/box'; import { scale } from '../util/box';
import * as tf from '../../dist/tfjs.esm.js'; import * as tf from '../../dist/tfjs.esm.js';
import type { BodyResult, Box, Point } from '../result'; import * as coords from './movenetcoords';
import type { BodyKeypoint, BodyResult, Box, Point } from '../result';
import type { GraphModel, Tensor } from '../tfjs/types'; import type { GraphModel, Tensor } from '../tfjs/types';
import type { Config } from '../config'; import type { Config } from '../config';
import { fakeOps } from '../tfjs/backend'; import { fakeOps } from '../tfjs/backend';
@ -17,13 +18,8 @@ let model: GraphModel | null;
let inputSize = 0; let inputSize = 0;
const cachedBoxes: Array<Box> = []; const cachedBoxes: Array<Box> = [];
type Keypoints = { score: number, part: string, position: Point, positionRaw: Point };
type Body = { id: number, score: number, box: Box, boxRaw: Box, keypoints: Array<Keypoints> }
let skipped = Number.MAX_SAFE_INTEGER; let skipped = Number.MAX_SAFE_INTEGER;
const keypoints: Array<Keypoints> = []; const keypoints: Array<BodyKeypoint> = [];
const bodyParts = ['nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder', 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist', 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle'];
export async function load(config: Config): Promise<GraphModel> { export async function load(config: Config): Promise<GraphModel> {
if (env.initial) model = null; if (env.initial) model = null;
@ -71,7 +67,7 @@ async function parseSinglePose(res, config, image, inputBox) {
]; ];
keypoints.push({ keypoints.push({
score: Math.round(100 * score) / 100, score: Math.round(100 * score) / 100,
part: bodyParts[id], part: coords.kpt[id],
positionRaw, positionRaw,
position: [ // normalized to input image size position: [ // normalized to input image size
Math.round((image.shape[2] || 0) * positionRaw[0]), Math.round((image.shape[2] || 0) * positionRaw[0]),
@ -81,14 +77,24 @@ async function parseSinglePose(res, config, image, inputBox) {
} }
} }
score = keypoints.reduce((prev, curr) => (curr.score > prev ? curr.score : prev), 0); score = keypoints.reduce((prev, curr) => (curr.score > prev ? curr.score : prev), 0);
const bodies: Array<Body> = []; const bodies: Array<BodyResult> = [];
const [box, boxRaw] = createBox(keypoints); const [box, boxRaw] = createBox(keypoints);
bodies.push({ id: 0, score, box, boxRaw, keypoints }); const annotations: Record<string, Point[][]> = {};
for (const [name, indexes] of Object.entries(coords.connected)) {
const pt: Array<Point[]> = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints.find((kp) => kp.part === indexes[i]);
const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);
}
annotations[name] = pt;
}
bodies.push({ id: 0, score, box, boxRaw, keypoints, annotations });
return bodies; return bodies;
} }
async function parseMultiPose(res, config, image, inputBox) { async function parseMultiPose(res, config, image, inputBox) {
const bodies: Array<Body> = []; const bodies: Array<BodyResult> = [];
for (let id = 0; id < res[0].length; id++) { for (let id = 0; id < res[0].length; id++) {
const kpt = res[0][id]; const kpt = res[0][id];
const totalScore = Math.round(100 * kpt[51 + 4]) / 100; const totalScore = Math.round(100 * kpt[51 + 4]) / 100;
@ -102,7 +108,7 @@ async function parseMultiPose(res, config, image, inputBox) {
(inputBox[2] - inputBox[0]) * kpt[3 * i + 0] + inputBox[0], (inputBox[2] - inputBox[0]) * kpt[3 * i + 0] + inputBox[0],
]; ];
keypoints.push({ keypoints.push({
part: bodyParts[i], part: coords.kpt[i],
score: Math.round(100 * score) / 100, score: Math.round(100 * score) / 100,
positionRaw, positionRaw,
position: [ position: [
@ -112,11 +118,21 @@ async function parseMultiPose(res, config, image, inputBox) {
}); });
} }
} }
// const [box, boxRaw] = createBox(keypoints); const [box, boxRaw] = createBox(keypoints);
// movenet-multipose has built-in box details // movenet-multipose has built-in box details
const boxRaw: Box = [kpt[51 + 1], kpt[51 + 0], kpt[51 + 3] - kpt[51 + 1], kpt[51 + 2] - kpt[51 + 0]]; // const boxRaw: Box = [kpt[51 + 1], kpt[51 + 0], kpt[51 + 3] - kpt[51 + 1], kpt[51 + 2] - kpt[51 + 0]];
const box: Box = [Math.trunc(boxRaw[0] * (image.shape[2] || 0)), Math.trunc(boxRaw[1] * (image.shape[1] || 0)), Math.trunc(boxRaw[2] * (image.shape[2] || 0)), Math.trunc(boxRaw[3] * (image.shape[1] || 0))]; // const box: Box = [Math.trunc(boxRaw[0] * (image.shape[2] || 0)), Math.trunc(boxRaw[1] * (image.shape[1] || 0)), Math.trunc(boxRaw[2] * (image.shape[2] || 0)), Math.trunc(boxRaw[3] * (image.shape[1] || 0))];
bodies.push({ id, score: totalScore, boxRaw, box, keypoints: [...keypoints] }); const annotations: Record<string, Point[][]> = {};
for (const [name, indexes] of Object.entries(coords.connected)) {
const pt: Array<Point[]> = [];
for (let i = 0; i < indexes.length - 1; i++) {
const pt0 = keypoints.find((kp) => kp.part === indexes[i]);
const pt1 = keypoints.find((kp) => kp.part === indexes[i + 1]);
if (pt0 && pt1 && pt0.score > (config.body.minConfidence || 0) && pt1.score > (config.body.minConfidence || 0)) pt.push([pt0.position, pt1.position]);
}
annotations[name] = pt;
}
bodies.push({ id, score: totalScore, boxRaw, box, keypoints: [...keypoints], annotations });
} }
} }
bodies.sort((a, b) => b.score - a.score); bodies.sort((a, b) => b.score - a.score);
@ -129,7 +145,7 @@ export async function predict(input: Tensor, config: Config): Promise<BodyResult
return new Promise(async (resolve) => { return new Promise(async (resolve) => {
const t: Record<string, Tensor> = {}; const t: Record<string, Tensor> = {};
let bodies: Array<Body> = []; let bodies: Array<BodyResult> = [];
if (!config.skipFrame) cachedBoxes.length = 0; // allowed to use cache or not if (!config.skipFrame) cachedBoxes.length = 0; // allowed to use cache or not
skipped++; skipped++;

28
src/body/movenetcoords.ts Normal file
View File

@ -0,0 +1,28 @@
export const kpt = [
'nose',
'leftEye',
'rightEye',
'leftEar',
'rightEar',
'leftShoulder',
'rightShoulder',
'leftElbow',
'rightElbow',
'leftWrist',
'rightWrist',
'leftHip',
'rightHip',
'leftKnee',
'rightKnee',
'leftAnkle',
'rightAnkle',
];
export const connected = {
leftLeg: ['leftHip', 'leftKnee', 'leftAnkle'],
rightLeg: ['rightHip', 'rightKnee', 'rightAnkle'],
torso: ['leftShoulder', 'rightShoulder', 'rightHip', 'leftHip', 'leftShoulder'],
leftArm: ['leftShoulder', 'leftElbow', 'leftWrist'],
rightArm: ['rightShoulder', 'rightElbow', 'rightWrist'],
head: [],
};

2
src/config.ts
View File

@ -411,7 +411,7 @@ const config: Config = {
// only valid for posenet and movenet-multipose as other models detects single pose // only valid for posenet and movenet-multipose as other models detects single pose
// set to -1 to autodetect based on number of detected faces // set to -1 to autodetect based on number of detected faces
minConfidence: 0.2, // threshold for discarding a prediction minConfidence: 0.2, // threshold for discarding a prediction
skipFrames: 1, // how many max frames to go without re-running the detector skipFrames: 5, // how many max frames to go without re-running the detector
// only used when cacheSensitivity is not zero // only used when cacheSensitivity is not zero
}, },

1
src/human.ts
View File

@ -8,7 +8,6 @@ import { defaults } from './config';
import * as tf from '../dist/tfjs.esm.js'; import * as tf from '../dist/tfjs.esm.js';
import * as app from '../package.json'; import * as app from '../package.json';
import * as backend from './tfjs/backend'; import * as backend from './tfjs/backend';
// import * as blazepose from './body/blazepose-v1';
import * as blazepose from './body/blazepose'; import * as blazepose from './body/blazepose';
import * as centernet from './object/centernet'; import * as centernet from './object/centernet';
import * as draw from './util/draw'; import * as draw from './util/draw';

2
src/image/image.ts
View File

@ -183,6 +183,8 @@ export function process(input: Input, config: Config): { tensor: Tensor | null,
tempCanvas.height = targetHeight; tempCanvas.height = targetHeight;
const tempCtx = tempCanvas.getContext('2d'); const tempCtx = tempCanvas.getContext('2d');
tempCtx?.drawImage(outCanvas, 0, 0); tempCtx?.drawImage(outCanvas, 0, 0);
console.log('PIXELS', tempCanvas);
pixels = (tf.browser && env.browser) ? tf.browser.fromPixels(tempCanvas) : null;
try { try {
pixels = (tf.browser && env.browser) ? tf.browser.fromPixels(tempCanvas) : null; pixels = (tf.browser && env.browser) ? tf.browser.fromPixels(tempCanvas) : null;
} catch (err) { } catch (err) {

16
src/result.ts
View File

@ -59,6 +59,13 @@ export interface FaceResult {
tensor?: Tensor, tensor?: Tensor,
} }
export type BodyKeypoint = {
part: string,
position: Point,
positionRaw: Point,
score: number,
}
/** Body results /** Body results
* *
* Each results has: * Each results has:
@ -77,13 +84,8 @@ export interface BodyResult {
score: number, score: number,
box: Box, box: Box,
boxRaw: Box, boxRaw: Box,
keypoints: Array<{ annotations: Record<string, Point[][]>,
part: string, keypoints: Array<BodyKeypoint>
position: Point,
positionRaw: Point,
score: number,
presence?: number,
}>
} }
/** Hand results /** Hand results

4
src/tfjs/backend.ts
View File

@ -90,10 +90,8 @@ export async function check(instance, force = false) {
} }
// handle webgpu // handle webgpu
if (tf.getBackend() === 'humangl') { if (tf.getBackend() === 'webgpu') {
tf.ENV.set('WEBGPU_USE_GLSL', true); tf.ENV.set('WEBGPU_USE_GLSL', true);
tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', false);
tf.ENV.set('WEBGL_USE_SHAPES_UNIFORMS', true);
} }
// wait for ready // wait for ready

2
src/tfjs/humangl.ts
View File

@ -67,7 +67,7 @@ export async function register(instance): Promise<void> {
// log('gpu memory usage:', instance.tf.engine().backendInstance.numBytesInGPU); // log('gpu memory usage:', instance.tf.engine().backendInstance.numBytesInGPU);
log('possible browser memory leak using webgl'); log('possible browser memory leak using webgl');
instance.emit('error'); instance.emit('error');
throw new Error('browser webgl error'); // throw new Error('browser webgl error');
/* /*
log('resetting humangl backend'); log('resetting humangl backend');
env.initial = true; env.initial = true;

92
src/util/draw.ts
View File

@ -4,7 +4,7 @@
import { TRI468 as triangulation } from '../face/facemeshcoords'; import { TRI468 as triangulation } from '../face/facemeshcoords';
import { mergeDeep, now } from './util'; import { mergeDeep, now } from './util';
import type { Result, FaceResult, BodyResult, HandResult, ObjectResult, GestureResult, PersonResult } from '../result'; import type { Result, FaceResult, BodyResult, HandResult, ObjectResult, GestureResult, PersonResult, Point } from '../result';
/** /**
* Draw Options * Draw Options
@ -102,7 +102,7 @@ function rect(ctx, x, y, width, height, localOptions) {
ctx.stroke(); ctx.stroke();
} }
function lines(ctx, points: [number, number, number?][] = [], localOptions) { function lines(ctx, points: Point[] = [], localOptions) {
if (points === undefined || points.length === 0) return; if (points === undefined || points.length === 0) return;
ctx.beginPath(); ctx.beginPath();
ctx.moveTo(points[0][0], points[0][1]); ctx.moveTo(points[0][0], points[0][1]);
@ -119,7 +119,7 @@ function lines(ctx, points: [number, number, number?][] = [], localOptions) {
} }
} }
function curves(ctx, points: [number, number, number?][] = [], localOptions) { function curves(ctx, points: Point[] = [], localOptions) {
if (points === undefined || points.length === 0) return; if (points === undefined || points.length === 0) return;
if (!localOptions.useCurves || points.length <= 2) { if (!localOptions.useCurves || points.length <= 2) {
lines(ctx, points, localOptions); lines(ctx, points, localOptions);
@ -288,91 +288,23 @@ export async function body(inCanvas: HTMLCanvasElement | OffscreenCanvas, result
ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]); ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);
} }
} }
if (localOptions.drawPoints) { if (localOptions.drawPoints && result[i].keypoints) {
for (let pt = 0; pt < result[i].keypoints.length; pt++) { for (let pt = 0; pt < result[i].keypoints.length; pt++) {
ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + (2 * (result[i].keypoints[pt].position[2] || 0))}, ${127.5 - (2 * (result[i].keypoints[pt].position[2] || 0))}, 255, 0.5)` : localOptions.color; ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + (2 * (result[i].keypoints[pt].position[2] || 0))}, ${127.5 - (2 * (result[i].keypoints[pt].position[2] || 0))}, 255, 0.5)` : localOptions.color;
point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions); point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions);
} }
} }
if (localOptions.drawLabels) { if (localOptions.drawLabels && result[i].keypoints) {
ctx.font = localOptions.font; ctx.font = localOptions.font;
if (result[i].keypoints) { for (const pt of result[i].keypoints) {
for (const pt of result[i].keypoints) { ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + (2 * pt.position[2])}, ${127.5 - (2 * pt.position[2])}, 255, 0.5)` : localOptions.color;
ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + (2 * pt.position[2])}, ${127.5 - (2 * pt.position[2])}, 255, 0.5)` : localOptions.color; ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);
ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);
}
} }
} }
if (localOptions.drawPolygons && result[i].keypoints) { if (localOptions.drawPolygons && result[i].keypoints && result[i].annotations) {
let part; for (const part of Object.values(result[i].annotations)) {
const points: [number, number, number?][] = []; for (const connected of part) curves(ctx, connected, localOptions);
// shoulder line }
points.length = 0;
part = result[i].keypoints.find((a) => a.part === 'leftShoulder');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'rightShoulder');
if (part) points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
// torso main
points.length = 0;
part = result[i].keypoints.find((a) => a.part === 'rightShoulder');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'rightHip');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'leftHip');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'leftShoulder');
if (part) points.push([part.position[0], part.position[1]]);
if (points.length === 4) lines(ctx, points, localOptions); // only draw if we have complete torso
// leg left
points.length = 0;
part = result[i].keypoints.find((a) => a.part === 'leftHip');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'leftKnee');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'leftAnkle');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'leftHeel');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'leftFoot');
if (part) points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
// leg right
points.length = 0;
part = result[i].keypoints.find((a) => a.part === 'rightHip');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'rightKnee');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'rightAnkle');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'rightHeel');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'rightFoot');
if (part) points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
// arm left
points.length = 0;
part = result[i].keypoints.find((a) => a.part === 'leftShoulder');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'leftElbow');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'leftWrist');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'leftPalm');
if (part) points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
// arm right
points.length = 0;
part = result[i].keypoints.find((a) => a.part === 'rightShoulder');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'rightElbow');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'rightWrist');
if (part) points.push([part.position[0], part.position[1]]);
part = result[i].keypoints.find((a) => a.part === 'rightPalm');
if (part) points.push([part.position[0], part.position[1]]);
curves(ctx, points, localOptions);
// draw all
} }
} }
} }

743
test/build.log
View File

@ -1,24 +1,719 @@
2021-10-03 08:08:21 INFO:  @vladmandic/human version 2.3.0 2021-10-04 15:47:15 INFO:  @vladmandic/human version 2.3.0
2021-10-03 08:08:21 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.10.0 2021-10-04 15:47:16 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.10.0
2021-10-03 08:08:21 INFO:  Application: {"name":"@vladmandic/human","version":"2.3.0"} 2021-10-04 15:47:16 INFO:  Application: {"name":"@vladmandic/human","version":"2.3.0"}
2021-10-03 08:08:21 INFO:  Environment: {"profile":"production","config":"build.json","tsconfig":true,"eslintrc":true,"git":true} 2021-10-04 15:47:16 INFO:  Environment: {"profile":"production","config":"build.json","tsconfig":true,"eslintrc":true,"git":true}
2021-10-03 08:08:21 INFO:  Toolchain: {"build":"0.5.3","esbuild":"0.13.3","typescript":"4.4.3","typedoc":"0.22.4","eslint":"7.32.0"} 2021-10-04 15:47:16 INFO:  Toolchain: {"build":"0.5.3","esbuild":"0.13.3","typescript":"4.4.3","typedoc":"0.22.4","eslint":"7.32.0"}
2021-10-03 08:08:21 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} 2021-10-04 15:47:16 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
2021-10-03 08:08:21 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} 2021-10-04 15:47:16 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]}
2021-10-03 08:08:21 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} 2021-10-04 15:47:16 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":1275}
2021-10-03 08:08:21 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":50,"inputBytes":507203,"outputBytes":422220} 2021-10-04 15:47:16 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":51,"inputBytes":511674,"outputBytes":426693}
2021-10-03 08:08:21 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} 2021-10-04 15:47:16 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1283}
2021-10-03 08:08:21 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":50,"inputBytes":507211,"outputBytes":422224} 2021-10-04 15:47:16 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":51,"inputBytes":511682,"outputBytes":426697}
2021-10-03 08:08:21 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} 2021-10-04 15:47:16 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":1350}
2021-10-03 08:08:21 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":50,"inputBytes":507278,"outputBytes":422296} 2021-10-04 15:47:16 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":51,"inputBytes":511749,"outputBytes":426769}
2021-10-03 08:08:21 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1063,"outputBytes":1631} 2021-10-04 15:47:16 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}
2021-10-03 08:08:21 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":3088,"outputBytes":793} 2021-10-04 15:47:16 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":3088,"outputBytes":793}
2021-10-03 08:08:21 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":50,"inputBytes":506721,"outputBytes":423742} 2021-10-04 15:47:16 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":51,"inputBytes":511192,"outputBytes":428266}
2021-10-03 08:08:21 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} 2021-10-04 15:47:17 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}
2021-10-03 08:08:22 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":50,"inputBytes":2882969,"outputBytes":1417710} 2021-10-04 15:47:17 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":54,"inputBytes":2887440,"outputBytes":2397338}
2021-10-03 08:08:22 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":50,"inputBytes":2882969,"outputBytes":2628660} 2021-10-04 15:47:18 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":54,"inputBytes":2887440,"outputBytes":4638818}
2021-10-03 08:08:38 STATE: Typings: {"input":"src/human.ts","output":"types","files":6} 2021-10-04 15:47:36 STATE: Typings: {"input":"src/human.ts","output":"types","files":6}
2021-10-03 08:08:44 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":34,"generated":true} 2021-10-04 15:47:42 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":35,"generated":true}
2021-10-03 08:09:11 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":84,"errors":0,"warnings":0} 2021-10-04 15:48:16 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":86,"errors":0,"warnings":0}
2021-10-03 08:09:12 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 2021-10-04 15:48:16 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
2021-10-03 08:09:12 INFO:  Done... 2021-10-04 15:48:16 INFO:  Done...
2021-10-04 15:52:25 INFO:  @vladmandic/human version 2.3.0
2021-10-04 15:52:25 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.10.0
2021-10-04 15:52:25 INFO:  Application: {"name":"@vladmandic/human","version":"2.3.0"}
2021-10-04 15:52:25 INFO:  Environment: {"profile":"development","config":"build.json","tsconfig":true,"eslintrc":true,"git":true}
2021-10-04 15:52:25 INFO:  Toolchain: {"build":"0.5.3","esbuild":"0.13.3","typescript":"4.4.3","typedoc":"0.22.4","eslint":"7.32.0"}
2021-10-04 15:52:25 INFO:  Build: {"profile":"development","steps":["serve","watch","compile"]}
2021-10-04 15:52:25 STATE: WebServer: {"ssl":false,"port":10030,"root":"."}
2021-10-04 15:52:25 STATE: WebServer: {"ssl":true,"port":10031,"root":".","sslKey":"node_modules/@vladmandic/build/cert/https.key","sslCrt":"node_modules/@vladmandic/build/cert/https.crt"}
2021-10-04 15:52:26 STATE: Watch: {"locations":["src/**","README.md","src/**/*","tfjs/**/*"]}
2021-10-04 15:52:26 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}
2021-10-04 15:52:26 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":51,"inputBytes":507846,"outputBytes":422913}
2021-10-04 15:52:26 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}
2021-10-04 15:52:26 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":51,"inputBytes":507854,"outputBytes":422917}
2021-10-04 15:52:26 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}
2021-10-04 15:52:26 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":51,"inputBytes":507921,"outputBytes":422989}
2021-10-04 15:52:26 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}
2021-10-04 15:52:26 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}
2021-10-04 15:52:26 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":51,"inputBytes":507364,"outputBytes":424486}
2021-10-04 15:52:27 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}
2021-10-04 15:52:27 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":54,"inputBytes":2883612,"outputBytes":2395163}
2021-10-04 15:52:28 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":54,"inputBytes":2883612,"outputBytes":4635038}
2021-10-04 15:52:28 INFO:  Listening...
2021-10-04 15:54:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/html","size":7842,"url":"/","remote":"::ffff:192.168.0.200"}
2021-10-04 15:54:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":107884,"url":"/icons.css","remote":"::ffff:192.168.0.200"}
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2021-10-04 15:54:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":4635038,"url":"/dist/human.esm.js","remote":"::ffff:192.168.0.200"}
2021-10-04 15:54:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":14222,"url":"/helpers/menu.js","remote":"::ffff:192.168.0.200"}
2021-10-04 15:54:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":10894,"url":"/helpers/gl-bench.js","remote":"::ffff:192.168.0.200"}
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2021-10-04 15:54:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"application/octet-stream","size":12154450,"url":"/dist/human.esm.js.map","remote":"::ffff:192.168.0.200"}
2021-10-04 15:54:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":4115,"url":"/index-pwa.js","remote":"::ffff:192.168.0.200"}
2021-10-04 15:55:27 INFO:  Watch: {"event":"modify","input":"src/tfjs/backend.ts"}
2021-10-04 15:55:27 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}
2021-10-04 15:55:27 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":51,"inputBytes":507739,"outputBytes":422802}
2021-10-04 15:55:27 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}
2021-10-04 15:55:27 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":51,"inputBytes":507747,"outputBytes":422806}
2021-10-04 15:55:27 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}
2021-10-04 15:55:27 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":51,"inputBytes":507814,"outputBytes":422878}
2021-10-04 15:55:27 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}
2021-10-04 15:55:27 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}
2021-10-04 15:55:27 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":51,"inputBytes":507257,"outputBytes":424351}
2021-10-04 15:55:28 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}
2021-10-04 15:55:28 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":54,"inputBytes":2883505,"outputBytes":2395083}
2021-10-04 15:55:29 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":54,"inputBytes":2883505,"outputBytes":4634937}
2021-10-04 15:55:31 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/html","size":7842,"url":"/","remote":"::ffff:192.168.0.200"}
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2021-10-04 15:59:01 INFO:  @vladmandic/human version 2.3.0
2021-10-04 15:59:01 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.10.0
2021-10-04 15:59:01 INFO:  Application: {"name":"@vladmandic/human","version":"2.3.0"}
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2021-10-04 15:59:01 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}
2021-10-04 15:59:01 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":51,"inputBytes":507739,"outputBytes":422802}
2021-10-04 15:59:01 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}
2021-10-04 15:59:01 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":51,"inputBytes":507747,"outputBytes":422806}
2021-10-04 15:59:01 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}
2021-10-04 15:59:01 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":51,"inputBytes":507814,"outputBytes":422878}
2021-10-04 15:59:01 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}
2021-10-04 15:59:01 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}
2021-10-04 15:59:01 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":51,"inputBytes":507257,"outputBytes":424351}
2021-10-04 15:59:02 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}
2021-10-04 15:59:02 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":54,"inputBytes":2883505,"outputBytes":2395083}
2021-10-04 15:59:03 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":54,"inputBytes":2883505,"outputBytes":4634937}
2021-10-04 15:59:03 INFO:  Listening...
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2021-10-04 16:10:18 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":4635564,"url":"/dist/human.esm.js","remote":"::ffff:192.168.0.200"}
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2021-10-04 16:15:21 INFO:  Watch: {"event":"modify","input":"src/body/movenet.ts"}
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2021-10-04 16:15:22 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}
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2021-10-04 16:26:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":4635381,"url":"/dist/human.esm.js","remote":"::ffff:192.168.0.200"}
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2021-10-04 16:26:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":10894,"url":"/helpers/gl-bench.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:26:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":3406,"url":"/helpers/webrtc.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:26:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":5785,"url":"/helpers/jsonview.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:26:50 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"font/woff2","size":181500,"url":"/assets/lato-light.woff2","remote":"::ffff:192.168.0.200"}
2021-10-04 16:26:51 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"application/octet-stream","size":12155305,"url":"/dist/human.esm.js.map","remote":"::ffff:192.168.0.200"}
2021-10-04 16:26:51 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/x-icon","size":261950,"url":"/favicon.ico","remote":"::ffff:192.168.0.200"}
2021-10-04 16:26:51 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":4115,"url":"/index-pwa.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:26:56 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":1816,"url":"/index-worker.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:26:56 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":2395423,"url":"/dist/human.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:25 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/html","size":7842,"url":"/?backend=webgl","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:25 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":107884,"url":"/icons.css","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:25 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":47668,"url":"/index.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:25 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":4635381,"url":"/dist/human.esm.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:25 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":14222,"url":"/helpers/menu.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:25 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":10894,"url":"/helpers/gl-bench.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:25 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":3406,"url":"/helpers/webrtc.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:25 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":5785,"url":"/helpers/jsonview.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:25 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"font/woff2","size":181500,"url":"/assets/lato-light.woff2","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:26 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"application/octet-stream","size":12155305,"url":"/dist/human.esm.js.map","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:26 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/x-icon","size":261950,"url":"/favicon.ico","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:27 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":4115,"url":"/index-pwa.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:30 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":1816,"url":"/index-worker.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:27:30 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":2395423,"url":"/dist/human.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:28:42 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/html","size":7842,"url":"/?backend=webgl","remote":"::ffff:192.168.0.200"}
2021-10-04 16:28:43 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":107884,"url":"/icons.css","remote":"::ffff:192.168.0.200"}
2021-10-04 16:28:43 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":47668,"url":"/index.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:28:43 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":4635381,"url":"/dist/human.esm.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:28:43 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":14222,"url":"/helpers/menu.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:28:43 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":10894,"url":"/helpers/gl-bench.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:28:43 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":3406,"url":"/helpers/webrtc.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:28:43 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":5785,"url":"/helpers/jsonview.js","remote":"::ffff:192.168.0.200"}
2021-10-04 16:28:43 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"font/woff2","size":181500,"url":"/assets/lato-light.woff2","remote":"::ffff:192.168.0.200"}
2021-10-04 16:28:43 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"application/octet-stream","size":12155305,"url":"/dist/human.esm.js.map","remote":"::ffff:192.168.0.200"}
2021-10-04 16:28:43 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":4115,"url":"/index-pwa.js","remote":"::ffff:192.168.0.200"}

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</ul> </ul>
</div><dl class="tsd-comment-tags"><dt>param userConfig:</dt><dd><p><a href="../interfaces/Config.html">Config</a></p> </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><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#distance" class="tsd-kind-icon">distance</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#match" class="tsd-kind-icon">match</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#similarity" class="tsd-kind-icon">similarity</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#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#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#L177">human.ts:177</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#distance" class="tsd-kind-icon">distance</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#match" class="tsd-kind-icon">match</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#similarity" class="tsd-kind-icon">similarity</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#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#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#L176">human.ts:176</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> <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: <a href="Human.html">Human</a></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: <a href="Human.html">Human</a></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#L103">human.ts:103</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#L102">human.ts:102</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Current configuration</p> <p>Current configuration</p>
<ul> <ul>
<li>Definition: <a href="../interfaces/Config.html">Config</a></li> <li>Definition: <a href="../interfaces/Config.html">Config</a></li>
<li>Defaults: <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L292">config</a></li> <li>Defaults: <a href="https://github.com/vladmandic/human/blob/main/src/config.ts#L292">config</a></li>
</ul> </ul>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="distance" class="tsd-anchor"></a><h3>distance</h3><div class="tsd-signature tsd-kind-icon">distance<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>descriptor1<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptor2<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<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><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#L261">human.ts:261</a></li></ul></aside><div class="tsd-type-declaration"><h4>Type declaration</h4><ul class="tsd-parameters"><li class="tsd-parameter-signature"><ul class="tsd-signatures tsd-kind-type-literal tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon"><span class="tsd-signature-symbol">(</span>descriptor1<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptor2<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<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"><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="distance" class="tsd-anchor"></a><h3>distance</h3><div class="tsd-signature tsd-kind-icon">distance<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>descriptor1<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptor2<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<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><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#L260">human.ts:260</a></li></ul></aside><div class="tsd-type-declaration"><h4>Type declaration</h4><ul class="tsd-parameters"><li class="tsd-parameter-signature"><ul class="tsd-signatures tsd-kind-type-literal tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon"><span class="tsd-signature-symbol">(</span>descriptor1<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptor2<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<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"><div class="tsd-comment tsd-typography"><div class="lead">
<p>Calculates distance between two descriptors</p> <p>Calculates distance between two descriptors</p>
<ul> <ul>
<li>Minkowski distance algorithm of nth order if <code>order</code> is different than 2</li> <li>Minkowski distance algorithm of nth order if <code>order</code> is different than 2</li>
@ -28,7 +28,7 @@
<li><code>order</code></li> <li><code>order</code></li>
</ul> </ul>
<p>Note: No checks are performed for performance reasons so make sure to pass valid number arrays of equal length</p> <p>Note: No checks are performed for performance reasons so make sure to pass valid number arrays of equal length</p>
</div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>descriptor1: <a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a></h5></li><li><h5>descriptor2: <a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a></h5></li><li><h5>options: <span class="tsd-signature-symbol">{ </span>order<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></h5><ul class="tsd-parameters"><li class="tsd-parameter"><h5>order<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li></ul></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4></li></ul></li></ul></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#L139">human.ts:139</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>descriptor1: <a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a></h5></li><li><h5>descriptor2: <a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a></h5></li><li><h5>options: <span class="tsd-signature-symbol">{ </span>order<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></h5><ul class="tsd-parameters"><li class="tsd-parameter"><h5>order<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li></ul></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4></li></ul></li></ul></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#L138">human.ts:138</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> <p>Draw helper classes that can draw detected objects on canvas using specified draw</p>
<ul> <ul>
<li>options: <a href="../interfaces/DrawOptions.html">DrawOptions</a> global settings for all draw operations, can be overriden for each draw method</li> <li>options: <a href="../interfaces/DrawOptions.html">DrawOptions</a> global settings for all draw operations, can be overriden for each draw method</li>
@ -38,9 +38,9 @@
<li>canvas: draw processed canvas which is a processed copy of the input</li> <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> <li>all: meta-function that performs: canvas, face, body, hand</li>
</ul> </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#L129">human.ts:129</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#L128">human.ts:128</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Object containing environment information used for diagnostics</p> <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">undefined</span><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#L157">human.ts:157</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">undefined</span><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#L156">human.ts:156</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Container for events dispatched by Human</p> <p>Container for events dispatched by Human</p>
</div><div><p>Possible events:</p> </div><div><p>Possible events:</p>
<ul> <ul>
@ -51,13 +51,13 @@
<li><code>warmup</code>: triggered when warmup is complete</li> <li><code>warmup</code>: triggered when warmup is complete</li>
<li><code>error</code>: triggered on some errors</li> <li><code>error</code>: triggered on some errors</li>
</ul> </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#L159">human.ts:159</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#L158">human.ts:158</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> <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#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="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#L160">human.ts:160</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> <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#L168">human.ts:168</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#L167">human.ts:167</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>WebGL debug info</p> <p>WebGL debug info</p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="match" class="tsd-anchor"></a><h3>match</h3><div class="tsd-signature tsd-kind-icon">match<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>descriptor<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptors<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a><span class="tsd-signature-symbol">[]</span>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</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"> =&gt; </span><span class="tsd-signature-symbol">{ </span>distance<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>index<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</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><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#L262">human.ts:262</a></li></ul></aside><div class="tsd-type-declaration"><h4>Type declaration</h4><ul class="tsd-parameters"><li class="tsd-parameter-signature"><ul class="tsd-signatures tsd-kind-type-literal tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon"><span class="tsd-signature-symbol">(</span>descriptor<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptors<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a><span class="tsd-signature-symbol">[]</span>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</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><span class="tsd-signature-symbol">{ </span>distance<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>index<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</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></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><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="match" class="tsd-anchor"></a><h3>match</h3><div class="tsd-signature tsd-kind-icon">match<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>descriptor<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptors<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a><span class="tsd-signature-symbol">[]</span>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</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"> =&gt; </span><span class="tsd-signature-symbol">{ </span>distance<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>index<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</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><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#L261">human.ts:261</a></li></ul></aside><div class="tsd-type-declaration"><h4>Type declaration</h4><ul class="tsd-parameters"><li class="tsd-parameter-signature"><ul class="tsd-signatures tsd-kind-type-literal tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon"><span class="tsd-signature-symbol">(</span>descriptor<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptors<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a><span class="tsd-signature-symbol">[]</span>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</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><span class="tsd-signature-symbol">{ </span>distance<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>index<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</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></li></ul><ul class="tsd-descriptions"><li class="tsd-description"><div class="tsd-comment tsd-typography"><div class="lead">
<p>Matches given descriptor to a closest entry in array of descriptors</p> <p>Matches given descriptor to a closest entry in array of descriptors</p>
</div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>descriptor: <a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a></h5><div class="tsd-comment tsd-typography"><div class="lead"> </div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>descriptor: <a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a></h5><div class="tsd-comment tsd-typography"><div class="lead">
<p>face descriptor</p> <p>face descriptor</p>
@ -74,27 +74,27 @@
<li><a href="Human.html#distance">distance</a> calculated <code>distance</code> of given descriptor to the best match</li> <li><a href="Human.html#distance">distance</a> calculated <code>distance</code> of given descriptor to the best match</li>
<li><a href="Human.html#similarity">similarity</a> calculated normalized <code>similarity</code> of given descriptor to the best match</li> <li><a href="Human.html#similarity">similarity</a> calculated normalized <code>similarity</code> of given descriptor to the best match</li>
</ul> </ul>
</div><ul class="tsd-parameters"><li class="tsd-parameter"><h5>distance<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li><li class="tsd-parameter"><h5>index<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li><li class="tsd-parameter"><h5>similarity<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li></ul></li></ul></li></ul></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#L163">human.ts:163</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div><ul class="tsd-parameters"><li class="tsd-parameter"><h5>distance<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li><li class="tsd-parameter"><h5>index<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li><li class="tsd-parameter"><h5>similarity<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li></ul></li></ul></li></ul></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#L162">human.ts:162</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> <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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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#L118">human.ts:118</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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#L117">human.ts:117</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>currenty processed image tensor and canvas</p> <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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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#L109">human.ts:109</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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#L108">human.ts:108</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Last known result of detect run</p> <p>Last known result of detect run</p>
<ul> <ul>
<li>Can be accessed anytime after initial detection</li> <li>Can be accessed anytime after initial detection</li>
<li>Definition: <a href="../interfaces/Result.html">Result</a></li> <li>Definition: <a href="../interfaces/Result.html">Result</a></li>
</ul> </ul>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-class"><a name="similarity" class="tsd-anchor"></a><h3>similarity</h3><div class="tsd-signature tsd-kind-icon">similarity<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>descriptor1<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptor2<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<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><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#L260">human.ts:260</a></li></ul></aside><div class="tsd-type-declaration"><h4>Type declaration</h4><ul class="tsd-parameters"><li class="tsd-parameter-signature"><ul class="tsd-signatures tsd-kind-type-literal tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon"><span class="tsd-signature-symbol">(</span>descriptor1<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptor2<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<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"><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="similarity" class="tsd-anchor"></a><h3>similarity</h3><div class="tsd-signature tsd-kind-icon">similarity<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">(</span>descriptor1<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptor2<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<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><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#L259">human.ts:259</a></li></ul></aside><div class="tsd-type-declaration"><h4>Type declaration</h4><ul class="tsd-parameters"><li class="tsd-parameter-signature"><ul class="tsd-signatures tsd-kind-type-literal tsd-parent-kind-class"><li class="tsd-signature tsd-kind-icon"><span class="tsd-signature-symbol">(</span>descriptor1<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, descriptor2<span class="tsd-signature-symbol">: </span><a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a>, options<span class="tsd-signature-symbol">?: </span><span class="tsd-signature-symbol">{ </span>order<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"><div class="tsd-comment tsd-typography"><div class="lead">
<p>Calculates normalized similarity between two descriptors based on their <code>distance</code></p> <p>Calculates normalized similarity between two descriptors based on their <code>distance</code></p>
</div></div><h4 class="tsd-parameters-title">Parameters</h4><ul class="tsd-parameters"><li><h5>descriptor1: <a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a></h5></li><li><h5>descriptor2: <a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a></h5></li><li><h5>options: <span class="tsd-signature-symbol">{ </span>order<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></h5><ul class="tsd-parameters"><li class="tsd-parameter"><h5>order<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li></ul></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4></li></ul></li></ul></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#L115">human.ts:115</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>descriptor1: <a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a></h5></li><li><h5>descriptor2: <a href="../index.html#Descriptor" class="tsd-signature-type" data-tsd-kind="Type alias">Descriptor</a></h5></li><li><h5>options: <span class="tsd-signature-symbol">{ </span>order<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></h5><ul class="tsd-parameters"><li class="tsd-parameter"><h5>order<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5></li></ul></li></ul><h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">number</span></h4></li></ul></li></ul></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#L114">human.ts:114</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Current state of Human library</p> <p>Current state of Human library</p>
<ul> <ul>
<li>Can be polled to determine operations that are currently executed</li> <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> <li>Progresses through: &#39;config&#39;, &#39;check&#39;, &#39;backend&#39;, &#39;load&#39;, &#39;run:<model>&#39;, &#39;idle&#39;</li>
</ul> </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#L97">human.ts:97</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#L96">human.ts:96</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> <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#L386">human.ts:386</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#L385">human.ts:385</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Main detection method</p> <p>Main detection method</p>
<ul> <ul>
<li>Analyze configuration: <a href="../interfaces/Config.html">Config</a></li> <li>Analyze configuration: <a href="../interfaces/Config.html">Config</a></li>
@ -103,12 +103,12 @@
<li>Process and return result: <a href="../interfaces/Result.html">Result</a></li> <li>Process and return result: <a href="../interfaces/Result.html">Result</a></li>
</ul> </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></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#L296">human.ts:296</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#L295">human.ts:295</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> <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></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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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#L269">human.ts:269</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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#L268">human.ts:268</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Process input as return canvas and tensor</p> <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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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#L307">human.ts:307</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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#L306">human.ts:306</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Explicit backend initialization</p> <p>Explicit backend initialization</p>
<ul> <ul>
<li>Normally done implicitly during initial load phase</li> <li>Normally done implicitly during initial load phase</li>
@ -116,19 +116,19 @@
<li>Use when changing backend during runtime</li> <li>Use when changing backend during runtime</li>
</ul> </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></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#L319">human.ts:319</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#L318">human.ts:318</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Load method preloads all configured models on-demand</p> <p>Load method preloads all configured models on-demand</p>
<ul> <ul>
<li>Not explicitly required as any required model is load implicitly on it&#39;s first run</li> <li>Not explicitly required as any required model is load implicitly on it&#39;s first run</li>
</ul> </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></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="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#L362">human.ts:362</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="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#L361">human.ts:361</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Runs interpolation using last known result and returns smoothened result <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> 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></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#L248">human.ts:248</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#L247">human.ts:247</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Reset configuration to default values</p> <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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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#L286">human.ts:286</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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#L285">human.ts:285</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> <p>Segmentation method takes any input and returns processed canvas with body segmentation</p>
<ul> <ul>
<li>Optional parameter background is used to fill the background with specific input</li> <li>Optional parameter background is used to fill the background with specific input</li>
@ -140,9 +140,9 @@ 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>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> <li><code>alpha</code> as grayscale canvas that represents segmentation alpha values</li>
</ul> </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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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="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#L255">human.ts:255</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</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="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#L254">human.ts:254</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>Validate current configuration schema</p> <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#L372">human.ts:372</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#L371">human.ts:371</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> <p>Warmup method pre-initializes all configured models for faster inference</p>
<ul> <ul>
<li>can take significant time on startup</li> <li>can take significant time on startup</li>

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<!DOCTYPE html><html class="default no-js"><head><meta charSet="utf-8"/><meta http-equiv="X-UA-Compatible" content="IE=edge"/><title>Result | @vladmandic/human - v2.3.0</title><meta name="description" content="Documentation for @vladmandic/human - v2.3.0"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="stylesheet" href="../assets/style.css"/><link rel="stylesheet" href="../assets/highlight.css"/><script async src="../assets/search.js" id="search-script"></script></head><body><header><div class="tsd-page-toolbar"><div class="container"><div class="table-wrap"><div class="table-cell" id="tsd-search" data-base=".."><div class="field"><label for="tsd-search-field" class="tsd-widget search no-caption">Search</label><input type="text" id="tsd-search-field"/></div><ul class="results"><li class="state loading">Preparing search index...</li><li class="state failure">The search index is not available</li></ul><a href="../index.html" class="title">@vladmandic/human - v2.3.0</a></div><div class="table-cell" id="tsd-widgets"><div id="tsd-filter"><a href="#" class="tsd-widget options no-caption" data-toggle="options">Options</a><div class="tsd-filter-group"><div class="tsd-select" id="tsd-filter-visibility"><span class="tsd-select-label">All</span><ul class="tsd-select-list"><li data-value="public">Public</li><li data-value="protected">Public/Protected</li><li data-value="private" class="selected">All</li></ul></div> <input type="checkbox" id="tsd-filter-inherited" checked/><label class="tsd-widget" for="tsd-filter-inherited">Inherited</label></div></div><a href="#" class="tsd-widget menu no-caption" data-toggle="menu">Menu</a></div></div></div></div><div class="tsd-page-title"><div class="container"><ul class="tsd-breadcrumb"><li><a href="../index.html">@vladmandic/human - v2.3.0</a></li><li><a href="Result.html">Result</a></li></ul><h1>Interface Result</h1></div></div></header><div class="container container-main"><div class="row"><div class="col-8 col-content"><section class="tsd-panel tsd-comment"><div class="tsd-comment tsd-typography"><div class="lead"> <!DOCTYPE html><html class="default no-js"><head><meta charSet="utf-8"/><meta http-equiv="X-UA-Compatible" content="IE=edge"/><title>Result | @vladmandic/human - v2.3.0</title><meta name="description" content="Documentation for @vladmandic/human - v2.3.0"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="stylesheet" href="../assets/style.css"/><link rel="stylesheet" href="../assets/highlight.css"/><script async src="../assets/search.js" id="search-script"></script></head><body><header><div class="tsd-page-toolbar"><div class="container"><div class="table-wrap"><div class="table-cell" id="tsd-search" data-base=".."><div class="field"><label for="tsd-search-field" class="tsd-widget search no-caption">Search</label><input type="text" id="tsd-search-field"/></div><ul class="results"><li class="state loading">Preparing search index...</li><li class="state failure">The search index is not available</li></ul><a href="../index.html" class="title">@vladmandic/human - v2.3.0</a></div><div class="table-cell" id="tsd-widgets"><div id="tsd-filter"><a href="#" class="tsd-widget options no-caption" data-toggle="options">Options</a><div class="tsd-filter-group"><div class="tsd-select" id="tsd-filter-visibility"><span class="tsd-select-label">All</span><ul class="tsd-select-list"><li data-value="public">Public</li><li data-value="protected">Public/Protected</li><li data-value="private" class="selected">All</li></ul></div> <input type="checkbox" id="tsd-filter-inherited" checked/><label class="tsd-widget" for="tsd-filter-inherited">Inherited</label></div></div><a href="#" class="tsd-widget menu no-caption" data-toggle="menu">Menu</a></div></div></div></div><div class="tsd-page-title"><div class="container"><ul class="tsd-breadcrumb"><li><a href="../index.html">@vladmandic/human - v2.3.0</a></li><li><a href="Result.html">Result</a></li></ul><h1>Interface Result</h1></div></div></header><div class="container container-main"><div class="row"><div class="col-8 col-content"><section class="tsd-panel tsd-comment"><div class="tsd-comment tsd-typography"><div class="lead">
<p>Result interface definition for <strong>Human</strong> library</p> <p>Result interface definition for <strong>Human</strong> library</p>
</div><div><p>Contains all possible detection results</p> </div><div><p>Contains all possible detection results</p>
</div></div></section><section class="tsd-panel tsd-hierarchy"><h3>Hierarchy</h3><ul class="tsd-hierarchy"><li><span class="target">Result</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>Properties</h3><ul class="tsd-index-list"><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#body" class="tsd-kind-icon">body</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#canvas" class="tsd-kind-icon">canvas</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#face" class="tsd-kind-icon">face</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#gesture" class="tsd-kind-icon">gesture</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#hand" class="tsd-kind-icon">hand</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#object" class="tsd-kind-icon">object</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#performance" class="tsd-kind-icon">performance</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#persons" class="tsd-kind-icon">persons</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#timestamp" class="tsd-kind-icon">timestamp</a></li></ul></section></div></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-interface"><a name="body" class="tsd-anchor"></a><h3>body</h3><div class="tsd-signature tsd-kind-icon">body<span class="tsd-signature-symbol">:</span> <a href="BodyResult.html" class="tsd-signature-type" data-tsd-kind="Interface">BodyResult</a><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/result.ts#L185">result.ts:185</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead"> </div></div></section><section class="tsd-panel tsd-hierarchy"><h3>Hierarchy</h3><ul class="tsd-hierarchy"><li><span class="target">Result</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>Properties</h3><ul class="tsd-index-list"><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#body" class="tsd-kind-icon">body</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#canvas" class="tsd-kind-icon">canvas</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#face" class="tsd-kind-icon">face</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#gesture" class="tsd-kind-icon">gesture</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#hand" class="tsd-kind-icon">hand</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#object" class="tsd-kind-icon">object</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#performance" class="tsd-kind-icon">performance</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#persons" class="tsd-kind-icon">persons</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#timestamp" class="tsd-kind-icon">timestamp</a></li></ul></section></div></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-interface"><a name="body" class="tsd-anchor"></a><h3>body</h3><div class="tsd-signature tsd-kind-icon">body<span class="tsd-signature-symbol">:</span> <a href="BodyResult.html" class="tsd-signature-type" data-tsd-kind="Interface">BodyResult</a><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/result.ts#L187">result.ts:187</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="BodyResult.html">BodyResult</a>: detection &amp; analysis results</p> <p><a href="BodyResult.html">BodyResult</a>: detection &amp; analysis results</p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a name="canvas" class="tsd-anchor"></a><h3><span class="tsd-flag ts-flagOptional">Optional</span> canvas</h3><div class="tsd-signature tsd-kind-icon">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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/result.ts#L195">result.ts:195</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-interface"><a name="canvas" class="tsd-anchor"></a><h3><span class="tsd-flag ts-flagOptional">Optional</span> canvas</h3><div class="tsd-signature tsd-kind-icon">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">OffscreenCanvas</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">HTMLCanvasElement</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/result.ts#L197">result.ts:197</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>optional processed canvas that can be used to draw input on screen</p> <p>optional processed canvas that can be used to draw input on screen</p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a name="face" class="tsd-anchor"></a><h3>face</h3><div class="tsd-signature tsd-kind-icon">face<span class="tsd-signature-symbol">:</span> <a href="FaceResult.html" class="tsd-signature-type" data-tsd-kind="Interface">FaceResult</a><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/result.ts#L183">result.ts:183</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-interface"><a name="face" class="tsd-anchor"></a><h3>face</h3><div class="tsd-signature tsd-kind-icon">face<span class="tsd-signature-symbol">:</span> <a href="FaceResult.html" class="tsd-signature-type" data-tsd-kind="Interface">FaceResult</a><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/result.ts#L185">result.ts:185</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="FaceResult.html">FaceResult</a>: detection &amp; analysis results</p> <p><a href="FaceResult.html">FaceResult</a>: detection &amp; analysis results</p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a name="gesture" class="tsd-anchor"></a><h3>gesture</h3><div class="tsd-signature tsd-kind-icon">gesture<span class="tsd-signature-symbol">:</span> <a href="../index.html#GestureResult" class="tsd-signature-type" data-tsd-kind="Type alias">GestureResult</a><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/result.ts#L189">result.ts:189</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-interface"><a name="gesture" class="tsd-anchor"></a><h3>gesture</h3><div class="tsd-signature tsd-kind-icon">gesture<span class="tsd-signature-symbol">:</span> <a href="../index.html#GestureResult" class="tsd-signature-type" data-tsd-kind="Type alias">GestureResult</a><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/result.ts#L191">result.ts:191</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="../index.html#GestureResult">GestureResult</a>: detection &amp; analysis results</p> <p><a href="../index.html#GestureResult">GestureResult</a>: detection &amp; analysis results</p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a name="hand" class="tsd-anchor"></a><h3>hand</h3><div class="tsd-signature tsd-kind-icon">hand<span class="tsd-signature-symbol">:</span> <a href="HandResult.html" class="tsd-signature-type" data-tsd-kind="Interface">HandResult</a><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/result.ts#L187">result.ts:187</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-interface"><a name="hand" class="tsd-anchor"></a><h3>hand</h3><div class="tsd-signature tsd-kind-icon">hand<span class="tsd-signature-symbol">:</span> <a href="HandResult.html" class="tsd-signature-type" data-tsd-kind="Interface">HandResult</a><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/result.ts#L189">result.ts:189</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="HandResult.html">HandResult</a>: detection &amp; analysis results</p> <p><a href="HandResult.html">HandResult</a>: detection &amp; analysis results</p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a name="object" class="tsd-anchor"></a><h3>object</h3><div class="tsd-signature tsd-kind-icon">object<span class="tsd-signature-symbol">:</span> <a href="ObjectResult.html" class="tsd-signature-type" data-tsd-kind="Interface">ObjectResult</a><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/result.ts#L191">result.ts:191</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-interface"><a name="object" class="tsd-anchor"></a><h3>object</h3><div class="tsd-signature tsd-kind-icon">object<span class="tsd-signature-symbol">:</span> <a href="ObjectResult.html" class="tsd-signature-type" data-tsd-kind="Interface">ObjectResult</a><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/result.ts#L193">result.ts:193</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p><a href="ObjectResult.html">ObjectResult</a>: detection &amp; analysis results</p> <p><a href="ObjectResult.html">ObjectResult</a>: detection &amp; analysis results</p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><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">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/result.ts#L193">result.ts:193</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-interface"><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">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/result.ts#L195">result.ts:195</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>global performance object with timing values for each operation</p> <p>global performance object with timing values for each operation</p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a name="persons" class="tsd-anchor"></a><h3>persons</h3><div class="tsd-signature tsd-kind-icon">persons<span class="tsd-signature-symbol">:</span> <a href="PersonResult.html" class="tsd-signature-type" data-tsd-kind="Interface">PersonResult</a><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/result.ts#L199">result.ts:199</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-interface"><a name="persons" class="tsd-anchor"></a><h3>persons</h3><div class="tsd-signature tsd-kind-icon">persons<span class="tsd-signature-symbol">:</span> <a href="PersonResult.html" class="tsd-signature-type" data-tsd-kind="Interface">PersonResult</a><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/result.ts#L201">result.ts:201</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>getter property that returns unified persons object</p> <p>getter property that returns unified persons object</p>
</div></div></section><section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface"><a name="timestamp" class="tsd-anchor"></a><h3><span class="tsd-flag ts-flagReadonly">Readonly</span> timestamp</h3><div class="tsd-signature tsd-kind-icon">timestamp<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/result.ts#L197">result.ts:197</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-interface"><a name="timestamp" class="tsd-anchor"></a><h3><span class="tsd-flag ts-flagReadonly">Readonly</span> timestamp</h3><div class="tsd-signature tsd-kind-icon">timestamp<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div><aside class="tsd-sources"><ul><li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/result.ts#L199">result.ts:199</a></li></ul></aside><div class="tsd-comment tsd-typography"><div class="lead">
<p>timestamp of detection representing the milliseconds elapsed since the UNIX epoch</p> <p>timestamp of detection representing the milliseconds elapsed since the UNIX epoch</p>
</div></div></section></section></div><div class="col-4 col-menu menu-sticky-wrap menu-highlight"><nav class="tsd-navigation primary"><ul><li class=""><a href="../index.html">Exports</a></li></ul></nav><nav class="tsd-navigation secondary menu-sticky"><ul><li class="current tsd-kind-interface"><a href="Result.html" class="tsd-kind-icon">Result</a><ul><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#body" class="tsd-kind-icon">body</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#canvas" class="tsd-kind-icon">canvas</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#face" class="tsd-kind-icon">face</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#gesture" class="tsd-kind-icon">gesture</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#hand" class="tsd-kind-icon">hand</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#object" class="tsd-kind-icon">object</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#performance" class="tsd-kind-icon">performance</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#persons" class="tsd-kind-icon">persons</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#timestamp" class="tsd-kind-icon">timestamp</a></li></ul></li></ul></nav></div></div></div><footer class=""><div class="container"><h2>Legend</h2><div class="tsd-legend-group"><ul class="tsd-legend"><li class="tsd-kind-constructor tsd-parent-kind-class"><span class="tsd-kind-icon">Constructor</span></li><li class="tsd-kind-property tsd-parent-kind-class"><span class="tsd-kind-icon">Property</span></li><li class="tsd-kind-method tsd-parent-kind-class"><span class="tsd-kind-icon">Method</span></li></ul><ul class="tsd-legend"><li class="tsd-kind-property tsd-parent-kind-interface"><span class="tsd-kind-icon">Property</span></li></ul></div><h2>Settings</h2><p>Theme <select id="theme"><option value="os">OS</option><option value="light">Light</option><option value="dark">Dark</option></select></p></div></footer><div class="overlay"></div><script src="../assets/main.js"></script></body></html> </div></div></section></section></div><div class="col-4 col-menu menu-sticky-wrap menu-highlight"><nav class="tsd-navigation primary"><ul><li class=""><a href="../index.html">Exports</a></li></ul></nav><nav class="tsd-navigation secondary menu-sticky"><ul><li class="current tsd-kind-interface"><a href="Result.html" class="tsd-kind-icon">Result</a><ul><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#body" class="tsd-kind-icon">body</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#canvas" class="tsd-kind-icon">canvas</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#face" class="tsd-kind-icon">face</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#gesture" class="tsd-kind-icon">gesture</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#hand" class="tsd-kind-icon">hand</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#object" class="tsd-kind-icon">object</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#performance" class="tsd-kind-icon">performance</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#persons" class="tsd-kind-icon">persons</a></li><li class="tsd-kind-property tsd-parent-kind-interface"><a href="Result.html#timestamp" class="tsd-kind-icon">timestamp</a></li></ul></li></ul></nav></div></div></div><footer class=""><div class="container"><h2>Legend</h2><div class="tsd-legend-group"><ul class="tsd-legend"><li class="tsd-kind-constructor tsd-parent-kind-class"><span class="tsd-kind-icon">Constructor</span></li><li class="tsd-kind-property tsd-parent-kind-class"><span class="tsd-kind-icon">Property</span></li><li class="tsd-kind-method tsd-parent-kind-class"><span class="tsd-kind-icon">Method</span></li></ul><ul class="tsd-legend"><li class="tsd-kind-property tsd-parent-kind-interface"><span class="tsd-kind-icon">Property</span></li></ul></div><h2>Settings</h2><p>Theme <select id="theme"><option value="os">OS</option><option value="light">Light</option><option value="dark">Dark</option></select></p></div></footer><div class="overlay"></div><script src="../assets/main.js"></script></body></html>

7
types/src/body/annotations.d.ts vendored
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@ -1,7 +0,0 @@
/**
* BlazePose model implemenation constants
* See `blazepose.ts` for entry point
*/
export declare const full: string[];
export declare const upper: string[];
//# sourceMappingURL=annotations.d.ts.map

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types/src/body/annotations.d.ts.map
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@ -1 +0,0 @@
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2
types/src/body/blazepose.d.ts vendored
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@ -1,7 +1,5 @@
/** /**
* BlazePose model implementation * BlazePose model implementation
*
* Based on : [**BlazePose**](https://github.com/google/mediapipe/blob/master/mediapipe/modules/pose_detection)
*/ */
import type { BodyResult } from '../result'; import type { BodyResult } from '../result';
import type { GraphModel, Tensor } from '../tfjs/types'; import type { GraphModel, Tensor } from '../tfjs/types';

2
types/src/body/blazepose.d.ts.map
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@ -1 +1 @@
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12
types/src/body/blazeposecoords.d.ts vendored Normal file
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@ -0,0 +1,12 @@
export declare const kpt: string[];
export declare const connected: {
leftLeg: string[];
rightLeg: string[];
torso: string[];
leftArm: string[];
rightArm: string[];
leftHand: never[];
rightHand: never[];
head: never[];
};
//# sourceMappingURL=blazeposecoords.d.ts.map

1
types/src/body/blazeposecoords.d.ts.map Normal file
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@ -0,0 +1 @@
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2
types/src/body/efficientpose.d.ts.map
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@ -1 +1 @@
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10
types/src/body/efficientposecoords.d.ts vendored Normal file
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@ -0,0 +1,10 @@
export declare const kpt: string[];
export declare const connected: {
leftLeg: string[];
rightLeg: string[];
torso: string[];
leftArm: string[];
rightArm: string[];
head: never[];
};
//# sourceMappingURL=efficientposecoords.d.ts.map

1
types/src/body/efficientposecoords.d.ts.map Normal file
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@ -0,0 +1 @@
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2
types/src/body/movenet.d.ts.map
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@ -1 +1 @@
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2
types/src/human.d.ts.map
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15
types/src/result.d.ts vendored
View File

@ -65,6 +65,12 @@ export interface FaceResult {
}; };
tensor?: Tensor; tensor?: Tensor;
} }
export declare type BodyKeypoint = {
part: string;
position: Point;
positionRaw: Point;
score: number;
};
/** Body results /** Body results
* *
* Each results has: * Each results has:
@ -83,13 +89,8 @@ export interface BodyResult {
score: number; score: number;
box: Box; box: Box;
boxRaw: Box; boxRaw: Box;
keypoints: Array<{ annotations: Record<string, Point[][]>;
part: string; keypoints: Array<BodyKeypoint>;
position: Point;
positionRaw: Point;
score: number;
presence?: number;
}>;
} }
/** Hand results /** Hand results
* *

2
types/src/result.d.ts.map
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