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human
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restructure results strong typing

pull/134/head
Vladimir Mandic 2021-05-22 12:33:19 -04:00
parent 92d3333e52
commit 1811e1c621
37 changed files with 227902 additions and 5027 deletions
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7
CHANGELOG.md
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@ -9,11 +9,12 @@ Repository: **<git+https://github.com/vladmandic/human.git>**
## Changelog
### **HEAD -> main** 2021/05/21 mandic00@live.com
### **1.9.1** 2021/05/21 mandic00@live.com
### **origin/main** 2021/05/20 mandic00@live.com
- caching improvements
- sanitize server input
- remove nanodet weights from default distribution
- add experimental mb3-centernet object detection

6
demo/index.js
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@ -10,7 +10,6 @@ let human;
const userConfig = {
warmup: 'none',
/*
backend: 'webgl',
async: false,
cacheSensitivity: 0,
@ -27,10 +26,9 @@ const userConfig = {
},
hand: { enabled: false },
gesture: { enabled: false },
body: { enabled: false, modelPath: 'posenet.json' },
body: { enabled: true, modelPath: 'posenet.json' },
// body: { enabled: true, modelPath: 'blazepose.json' },
object: { enabled: false },
*/
};
// ui options
@ -46,6 +44,7 @@ const ui = {
maxFPSframes: 10, // keep fps history for how many frames
modelsPreload: true, // preload human models on startup
modelsWarmup: true, // warmup human models on startup
buffered: true, // should output be buffered between frames
// internal variables
busy: false, // internal camera busy flag
@ -54,7 +53,6 @@ const ui = {
camera: {}, // internal, holds details of webcam details
detectFPS: [], // internal, holds fps values for detection performance
drawFPS: [], // internal, holds fps values for draw performance
buffered: false, // should output be buffered between frames
drawWarmup: false, // debug only, should warmup image processing be displayed on startup
drawThread: null, // internl, perform draw operations in a separate thread
detectThread: null, // internl, perform detect operations in a separate thread

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dist/human.esm-nobundle.js vendored
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dist/human.esm.js vendored
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dist/human.node-gpu.js vendored
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@ -4452,6 +4452,7 @@ var detectFace = async (parent, input) => {
}
const irisSize = ((_e = faces[i].annotations) == null ? void 0 : _e.leftEyeIris) && ((_f = faces[i].annotations) == null ? void 0 : _f.rightEyeIris) ? 11.7 * Math.max(Math.abs(faces[i].annotations.leftEyeIris[3][0] - faces[i].annotations.leftEyeIris[1][0]), Math.abs(faces[i].annotations.rightEyeIris[4][1] - faces[i].annotations.rightEyeIris[2][1])) : 0;
faceRes.push({
id: i,
...faces[i],
age: descRes.age,
gender: descRes.gender,
@ -4562,8 +4563,11 @@ function getBoundingBox(keypoints) {
return [coord.minX, coord.minY, coord.maxX - coord.minX, coord.maxY - coord.minY];
}
function scalePoses(poses2, [height, width], [inputResolutionHeight, inputResolutionWidth]) {
const scalePose = (pose, scaleY, scaleX) => ({
const scaleY = height / inputResolutionHeight;
const scaleX = width / inputResolutionWidth;
const scalePose = (pose) => ({
score: pose.score,
bowRaw: [pose.box[0] / inputResolutionWidth, pose.box[1] / inputResolutionHeight, pose.box[2] / inputResolutionWidth, pose.box[3] / inputResolutionHeight],
box: [Math.trunc(pose.box[0] * scaleX), Math.trunc(pose.box[1] * scaleY), Math.trunc(pose.box[2] * scaleX), Math.trunc(pose.box[3] * scaleY)],
keypoints: pose.keypoints.map(({ score, part, position }) => ({
score,
@ -4571,7 +4575,7 @@ function scalePoses(poses2, [height, width], [inputResolutionHeight, inputResolu
position: { x: Math.trunc(position.x * scaleX), y: Math.trunc(position.y * scaleY) }
}))
});
const scaledPoses = poses2.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));
const scaledPoses = poses2.map((pose) => scalePose(pose));
return scaledPoses;
}
var MaxHeap = class {
@ -16952,26 +16956,26 @@ async function predict5(input, config3) {
if (!predictions)
return [];
const hands = [];
for (const prediction of predictions) {
for (let i = 0; i < predictions.length; i++) {
const annotations3 = {};
if (prediction.landmarks) {
if (predictions[i].landmarks) {
for (const key of Object.keys(meshAnnotations)) {
annotations3[key] = meshAnnotations[key].map((index) => prediction.landmarks[index]);
annotations3[key] = meshAnnotations[key].map((index) => predictions[i].landmarks[index]);
}
}
const box4 = prediction.box ? [
Math.max(0, prediction.box.topLeft[0]),
Math.max(0, prediction.box.topLeft[1]),
Math.min(input.shape[2], prediction.box.bottomRight[0]) - Math.max(0, prediction.box.topLeft[0]),
Math.min(input.shape[1], prediction.box.bottomRight[1]) - Math.max(0, prediction.box.topLeft[1])
] : [];
const box4 = predictions[i].box ? [
Math.max(0, predictions[i].box.topLeft[0]),
Math.max(0, predictions[i].box.topLeft[1]),
Math.min(input.shape[2], predictions[i].box.bottomRight[0]) - Math.max(0, predictions[i].box.topLeft[0]),
Math.min(input.shape[1], predictions[i].box.bottomRight[1]) - Math.max(0, predictions[i].box.topLeft[1])
] : [0, 0, 0, 0];
const boxRaw = [
prediction.box.topLeft[0] / input.shape[2],
prediction.box.topLeft[1] / input.shape[1],
(prediction.box.bottomRight[0] - prediction.box.topLeft[0]) / input.shape[2],
(prediction.box.bottomRight[1] - prediction.box.topLeft[1]) / input.shape[1]
predictions[i].box.topLeft[0] / input.shape[2],
predictions[i].box.topLeft[1] / input.shape[1],
(predictions[i].box.bottomRight[0] - predictions[i].box.topLeft[0]) / input.shape[2],
(predictions[i].box.bottomRight[1] - predictions[i].box.topLeft[1]) / input.shape[1]
];
hands.push({ confidence: Math.round(100 * prediction.confidence) / 100, box: box4, boxRaw, landmarks: prediction.landmarks, annotations: annotations3 });
hands.push({ id: i, confidence: Math.round(100 * predictions[i].confidence) / 100, box: box4, boxRaw, landmarks: predictions[i].landmarks, annotations: annotations3 });
}
return hands;
}
@ -17311,8 +17315,6 @@ async function process2(res, inputSize, outputShape, config3) {
return results;
}
async function predict7(image13, config3) {
if (!model5)
return null;
if (skipped3 < config3.object.skipFrames && config3.skipFrame && last3.length > 0) {
skipped3++;
return last3;
@ -17399,8 +17401,6 @@ async function process3(res, inputSize, outputShape, config3) {
return results;
}
async function predict8(image13, config3) {
if (!model6)
return null;
if (skipped4 < config3.object.skipFrames && config3.skipFrame && last4.length > 0) {
skipped4++;
return last4;
@ -18400,7 +18400,7 @@ var options = {
fillPolygons: false,
useDepth: true,
useCurves: false,
bufferedOutput: false,
bufferedOutput: true,
useRawBoxes: false,
calculateHandBox: true
};
@ -18439,7 +18439,7 @@ function lines(ctx, points = [], localOptions) {
for (const pt of points) {
ctx.strokeStyle = localOptions.useDepth && pt[2] ? `rgba(${127.5 + 2 * pt[2]}, ${127.5 - 2 * pt[2]}, 255, 0.3)` : localOptions.color;
ctx.fillStyle = localOptions.useDepth && pt[2] ? `rgba(${127.5 + 2 * pt[2]}, ${127.5 - 2 * pt[2]}, 255, 0.3)` : localOptions.color;
ctx.lineTo(pt[0], parseInt(pt[1]));
ctx.lineTo(pt[0], Math.round(pt[1]));
}
ctx.stroke();
if (localOptions.fillPolygons) {
@ -18558,24 +18558,24 @@ async function face2(inCanvas2, result, drawOptions) {
].map((index) => f.mesh[index]);
lines(ctx, points, localOptions);
}
if (f.annotations && f.annotations.leftEyeIris) {
if (f.annotations && f.annotations["leftEyeIris"]) {
ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color;
ctx.beginPath();
const sizeX = Math.abs(f.annotations.leftEyeIris[3][0] - f.annotations.leftEyeIris[1][0]) / 2;
const sizeY = Math.abs(f.annotations.leftEyeIris[4][1] - f.annotations.leftEyeIris[2][1]) / 2;
ctx.ellipse(f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
const sizeX = Math.abs(f.annotations["leftEyeIris"][3][0] - f.annotations["leftEyeIris"][1][0]) / 2;
const sizeY = Math.abs(f.annotations["leftEyeIris"][4][1] - f.annotations["leftEyeIris"][2][1]) / 2;
ctx.ellipse(f.annotations["leftEyeIris"][0][0], f.annotations["leftEyeIris"][0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
ctx.stroke();
if (localOptions.fillPolygons) {
ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color;
ctx.fill();
}
}
if (f.annotations && f.annotations.rightEyeIris) {
if (f.annotations && f.annotations["rightEyeIris"]) {
ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color;
ctx.beginPath();
const sizeX = Math.abs(f.annotations.rightEyeIris[3][0] - f.annotations.rightEyeIris[1][0]) / 2;
const sizeY = Math.abs(f.annotations.rightEyeIris[4][1] - f.annotations.rightEyeIris[2][1]) / 2;
ctx.ellipse(f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
const sizeX = Math.abs(f.annotations["rightEyeIris"][3][0] - f.annotations["rightEyeIris"][1][0]) / 2;
const sizeY = Math.abs(f.annotations["rightEyeIris"][4][1] - f.annotations["rightEyeIris"][2][1]) / 2;
ctx.ellipse(f.annotations["rightEyeIris"][0][0], f.annotations["rightEyeIris"][0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
ctx.stroke();
if (localOptions.fillPolygons) {
ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color;
@ -18588,6 +18588,7 @@ async function face2(inCanvas2, result, drawOptions) {
}
var lastDrawnPose = [];
async function body2(inCanvas2, result, drawOptions) {
var _a;
const localOptions = mergeDeep(options, drawOptions);
if (!result || !inCanvas2)
return;
@ -18604,7 +18605,7 @@ async function body2(inCanvas2, result, drawOptions) {
ctx.fillStyle = localOptions.color;
ctx.lineWidth = localOptions.lineWidth;
ctx.font = localOptions.font;
if (localOptions.drawBoxes) {
if (localOptions.drawBoxes && result[i].box && ((_a = result[i].box) == null ? void 0 : _a.length) === 4) {
rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions);
if (localOptions.drawLabels) {
if (localOptions.shadowColor && localOptions.shadowColor !== "") {
@ -18790,12 +18791,12 @@ async function hand2(inCanvas2, result, drawOptions) {
ctx.fillText(title, part[part.length - 1][0] + 4, part[part.length - 1][1] + 4);
};
ctx.font = localOptions.font;
addHandLabel(h.annotations.indexFinger, "index");
addHandLabel(h.annotations.middleFinger, "middle");
addHandLabel(h.annotations.ringFinger, "ring");
addHandLabel(h.annotations.pinky, "pinky");
addHandLabel(h.annotations.thumb, "thumb");
addHandLabel(h.annotations.palmBase, "palm");
addHandLabel(h.annotations["indexFinger"], "index");
addHandLabel(h.annotations["middleFinger"], "middle");
addHandLabel(h.annotations["ringFinger"], "ring");
addHandLabel(h.annotations["pinky"], "pinky");
addHandLabel(h.annotations["thumb"], "thumb");
addHandLabel(h.annotations["palmBase"], "palm");
}
if (localOptions.drawPolygons) {
const addHandLine = (part) => {
@ -18810,11 +18811,11 @@ async function hand2(inCanvas2, result, drawOptions) {
}
};
ctx.lineWidth = localOptions.lineWidth;
addHandLine(h.annotations.indexFinger);
addHandLine(h.annotations.middleFinger);
addHandLine(h.annotations.ringFinger);
addHandLine(h.annotations.pinky);
addHandLine(h.annotations.thumb);
addHandLine(h.annotations["indexFinger"]);
addHandLine(h.annotations["middleFinger"]);
addHandLine(h.annotations["ringFinger"]);
addHandLine(h.annotations["pinky"]);
addHandLine(h.annotations["thumb"]);
}
}
}
@ -20013,7 +20014,7 @@ var Human = class {
}
this.perf.total = Math.trunc(now() - timeStart);
this.state = "idle";
const result = {
const res = {
face: faceRes,
body: bodyRes,
hand: handRes,
@ -20022,7 +20023,7 @@ var Human = class {
performance: this.perf,
canvas: process5.canvas
};
resolve(result);
resolve(res);
});
}
async warmup(userConfig = {}) {

89
dist/human.node-wasm.js vendored
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@ -4453,6 +4453,7 @@ var detectFace = async (parent, input) => {
}
const irisSize = ((_e = faces[i].annotations) == null ? void 0 : _e.leftEyeIris) && ((_f = faces[i].annotations) == null ? void 0 : _f.rightEyeIris) ? 11.7 * Math.max(Math.abs(faces[i].annotations.leftEyeIris[3][0] - faces[i].annotations.leftEyeIris[1][0]), Math.abs(faces[i].annotations.rightEyeIris[4][1] - faces[i].annotations.rightEyeIris[2][1])) : 0;
faceRes.push({
id: i,
...faces[i],
age: descRes.age,
gender: descRes.gender,
@ -4563,8 +4564,11 @@ function getBoundingBox(keypoints) {
return [coord.minX, coord.minY, coord.maxX - coord.minX, coord.maxY - coord.minY];
}
function scalePoses(poses2, [height, width], [inputResolutionHeight, inputResolutionWidth]) {
const scalePose = (pose, scaleY, scaleX) => ({
const scaleY = height / inputResolutionHeight;
const scaleX = width / inputResolutionWidth;
const scalePose = (pose) => ({
score: pose.score,
bowRaw: [pose.box[0] / inputResolutionWidth, pose.box[1] / inputResolutionHeight, pose.box[2] / inputResolutionWidth, pose.box[3] / inputResolutionHeight],
box: [Math.trunc(pose.box[0] * scaleX), Math.trunc(pose.box[1] * scaleY), Math.trunc(pose.box[2] * scaleX), Math.trunc(pose.box[3] * scaleY)],
keypoints: pose.keypoints.map(({ score, part, position }) => ({
score,
@ -4572,7 +4576,7 @@ function scalePoses(poses2, [height, width], [inputResolutionHeight, inputResolu
position: { x: Math.trunc(position.x * scaleX), y: Math.trunc(position.y * scaleY) }
}))
});
const scaledPoses = poses2.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));
const scaledPoses = poses2.map((pose) => scalePose(pose));
return scaledPoses;
}
var MaxHeap = class {
@ -16953,26 +16957,26 @@ async function predict5(input, config3) {
if (!predictions)
return [];
const hands = [];
for (const prediction of predictions) {
for (let i = 0; i < predictions.length; i++) {
const annotations3 = {};
if (prediction.landmarks) {
if (predictions[i].landmarks) {
for (const key of Object.keys(meshAnnotations)) {
annotations3[key] = meshAnnotations[key].map((index) => prediction.landmarks[index]);
annotations3[key] = meshAnnotations[key].map((index) => predictions[i].landmarks[index]);
}
}
const box4 = prediction.box ? [
Math.max(0, prediction.box.topLeft[0]),
Math.max(0, prediction.box.topLeft[1]),
Math.min(input.shape[2], prediction.box.bottomRight[0]) - Math.max(0, prediction.box.topLeft[0]),
Math.min(input.shape[1], prediction.box.bottomRight[1]) - Math.max(0, prediction.box.topLeft[1])
] : [];
const box4 = predictions[i].box ? [
Math.max(0, predictions[i].box.topLeft[0]),
Math.max(0, predictions[i].box.topLeft[1]),
Math.min(input.shape[2], predictions[i].box.bottomRight[0]) - Math.max(0, predictions[i].box.topLeft[0]),
Math.min(input.shape[1], predictions[i].box.bottomRight[1]) - Math.max(0, predictions[i].box.topLeft[1])
] : [0, 0, 0, 0];
const boxRaw = [
prediction.box.topLeft[0] / input.shape[2],
prediction.box.topLeft[1] / input.shape[1],
(prediction.box.bottomRight[0] - prediction.box.topLeft[0]) / input.shape[2],
(prediction.box.bottomRight[1] - prediction.box.topLeft[1]) / input.shape[1]
predictions[i].box.topLeft[0] / input.shape[2],
predictions[i].box.topLeft[1] / input.shape[1],
(predictions[i].box.bottomRight[0] - predictions[i].box.topLeft[0]) / input.shape[2],
(predictions[i].box.bottomRight[1] - predictions[i].box.topLeft[1]) / input.shape[1]
];
hands.push({ confidence: Math.round(100 * prediction.confidence) / 100, box: box4, boxRaw, landmarks: prediction.landmarks, annotations: annotations3 });
hands.push({ id: i, confidence: Math.round(100 * predictions[i].confidence) / 100, box: box4, boxRaw, landmarks: predictions[i].landmarks, annotations: annotations3 });
}
return hands;
}
@ -17312,8 +17316,6 @@ async function process2(res, inputSize, outputShape, config3) {
return results;
}
async function predict7(image13, config3) {
if (!model5)
return null;
if (skipped3 < config3.object.skipFrames && config3.skipFrame && last3.length > 0) {
skipped3++;
return last3;
@ -17400,8 +17402,6 @@ async function process3(res, inputSize, outputShape, config3) {
return results;
}
async function predict8(image13, config3) {
if (!model6)
return null;
if (skipped4 < config3.object.skipFrames && config3.skipFrame && last4.length > 0) {
skipped4++;
return last4;
@ -18401,7 +18401,7 @@ var options = {
fillPolygons: false,
useDepth: true,
useCurves: false,
bufferedOutput: false,
bufferedOutput: true,
useRawBoxes: false,
calculateHandBox: true
};
@ -18440,7 +18440,7 @@ function lines(ctx, points = [], localOptions) {
for (const pt of points) {
ctx.strokeStyle = localOptions.useDepth && pt[2] ? `rgba(${127.5 + 2 * pt[2]}, ${127.5 - 2 * pt[2]}, 255, 0.3)` : localOptions.color;
ctx.fillStyle = localOptions.useDepth && pt[2] ? `rgba(${127.5 + 2 * pt[2]}, ${127.5 - 2 * pt[2]}, 255, 0.3)` : localOptions.color;
ctx.lineTo(pt[0], parseInt(pt[1]));
ctx.lineTo(pt[0], Math.round(pt[1]));
}
ctx.stroke();
if (localOptions.fillPolygons) {
@ -18559,24 +18559,24 @@ async function face2(inCanvas2, result, drawOptions) {
].map((index) => f.mesh[index]);
lines(ctx, points, localOptions);
}
if (f.annotations && f.annotations.leftEyeIris) {
if (f.annotations && f.annotations["leftEyeIris"]) {
ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color;
ctx.beginPath();
const sizeX = Math.abs(f.annotations.leftEyeIris[3][0] - f.annotations.leftEyeIris[1][0]) / 2;
const sizeY = Math.abs(f.annotations.leftEyeIris[4][1] - f.annotations.leftEyeIris[2][1]) / 2;
ctx.ellipse(f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
const sizeX = Math.abs(f.annotations["leftEyeIris"][3][0] - f.annotations["leftEyeIris"][1][0]) / 2;
const sizeY = Math.abs(f.annotations["leftEyeIris"][4][1] - f.annotations["leftEyeIris"][2][1]) / 2;
ctx.ellipse(f.annotations["leftEyeIris"][0][0], f.annotations["leftEyeIris"][0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
ctx.stroke();
if (localOptions.fillPolygons) {
ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color;
ctx.fill();
}
}
if (f.annotations && f.annotations.rightEyeIris) {
if (f.annotations && f.annotations["rightEyeIris"]) {
ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color;
ctx.beginPath();
const sizeX = Math.abs(f.annotations.rightEyeIris[3][0] - f.annotations.rightEyeIris[1][0]) / 2;
const sizeY = Math.abs(f.annotations.rightEyeIris[4][1] - f.annotations.rightEyeIris[2][1]) / 2;
ctx.ellipse(f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
const sizeX = Math.abs(f.annotations["rightEyeIris"][3][0] - f.annotations["rightEyeIris"][1][0]) / 2;
const sizeY = Math.abs(f.annotations["rightEyeIris"][4][1] - f.annotations["rightEyeIris"][2][1]) / 2;
ctx.ellipse(f.annotations["rightEyeIris"][0][0], f.annotations["rightEyeIris"][0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
ctx.stroke();
if (localOptions.fillPolygons) {
ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color;
@ -18589,6 +18589,7 @@ async function face2(inCanvas2, result, drawOptions) {
}
var lastDrawnPose = [];
async function body2(inCanvas2, result, drawOptions) {
var _a;
const localOptions = mergeDeep(options, drawOptions);
if (!result || !inCanvas2)
return;
@ -18605,7 +18606,7 @@ async function body2(inCanvas2, result, drawOptions) {
ctx.fillStyle = localOptions.color;
ctx.lineWidth = localOptions.lineWidth;
ctx.font = localOptions.font;
if (localOptions.drawBoxes) {
if (localOptions.drawBoxes && result[i].box && ((_a = result[i].box) == null ? void 0 : _a.length) === 4) {
rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions);
if (localOptions.drawLabels) {
if (localOptions.shadowColor && localOptions.shadowColor !== "") {
@ -18791,12 +18792,12 @@ async function hand2(inCanvas2, result, drawOptions) {
ctx.fillText(title, part[part.length - 1][0] + 4, part[part.length - 1][1] + 4);
};
ctx.font = localOptions.font;
addHandLabel(h.annotations.indexFinger, "index");
addHandLabel(h.annotations.middleFinger, "middle");
addHandLabel(h.annotations.ringFinger, "ring");
addHandLabel(h.annotations.pinky, "pinky");
addHandLabel(h.annotations.thumb, "thumb");
addHandLabel(h.annotations.palmBase, "palm");
addHandLabel(h.annotations["indexFinger"], "index");
addHandLabel(h.annotations["middleFinger"], "middle");
addHandLabel(h.annotations["ringFinger"], "ring");
addHandLabel(h.annotations["pinky"], "pinky");
addHandLabel(h.annotations["thumb"], "thumb");
addHandLabel(h.annotations["palmBase"], "palm");
}
if (localOptions.drawPolygons) {
const addHandLine = (part) => {
@ -18811,11 +18812,11 @@ async function hand2(inCanvas2, result, drawOptions) {
}
};
ctx.lineWidth = localOptions.lineWidth;
addHandLine(h.annotations.indexFinger);
addHandLine(h.annotations.middleFinger);
addHandLine(h.annotations.ringFinger);
addHandLine(h.annotations.pinky);
addHandLine(h.annotations.thumb);
addHandLine(h.annotations["indexFinger"]);
addHandLine(h.annotations["middleFinger"]);
addHandLine(h.annotations["ringFinger"]);
addHandLine(h.annotations["pinky"]);
addHandLine(h.annotations["thumb"]);
}
}
}
@ -20014,7 +20015,7 @@ var Human = class {
}
this.perf.total = Math.trunc(now() - timeStart);
this.state = "idle";
const result = {
const res = {
face: faceRes,
body: bodyRes,
hand: handRes,
@ -20023,7 +20024,7 @@ var Human = class {
performance: this.perf,
canvas: process5.canvas
};
resolve(result);
resolve(res);
});
}
async warmup(userConfig = {}) {

89
dist/human.node.js vendored
View File

@ -4452,6 +4452,7 @@ var detectFace = async (parent, input) => {
}
const irisSize = ((_e = faces[i].annotations) == null ? void 0 : _e.leftEyeIris) && ((_f = faces[i].annotations) == null ? void 0 : _f.rightEyeIris) ? 11.7 * Math.max(Math.abs(faces[i].annotations.leftEyeIris[3][0] - faces[i].annotations.leftEyeIris[1][0]), Math.abs(faces[i].annotations.rightEyeIris[4][1] - faces[i].annotations.rightEyeIris[2][1])) : 0;
faceRes.push({
id: i,
...faces[i],
age: descRes.age,
gender: descRes.gender,
@ -4562,8 +4563,11 @@ function getBoundingBox(keypoints) {
return [coord.minX, coord.minY, coord.maxX - coord.minX, coord.maxY - coord.minY];
}
function scalePoses(poses2, [height, width], [inputResolutionHeight, inputResolutionWidth]) {
const scalePose = (pose, scaleY, scaleX) => ({
const scaleY = height / inputResolutionHeight;
const scaleX = width / inputResolutionWidth;
const scalePose = (pose) => ({
score: pose.score,
bowRaw: [pose.box[0] / inputResolutionWidth, pose.box[1] / inputResolutionHeight, pose.box[2] / inputResolutionWidth, pose.box[3] / inputResolutionHeight],
box: [Math.trunc(pose.box[0] * scaleX), Math.trunc(pose.box[1] * scaleY), Math.trunc(pose.box[2] * scaleX), Math.trunc(pose.box[3] * scaleY)],
keypoints: pose.keypoints.map(({ score, part, position }) => ({
score,
@ -4571,7 +4575,7 @@ function scalePoses(poses2, [height, width], [inputResolutionHeight, inputResolu
position: { x: Math.trunc(position.x * scaleX), y: Math.trunc(position.y * scaleY) }
}))
});
const scaledPoses = poses2.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));
const scaledPoses = poses2.map((pose) => scalePose(pose));
return scaledPoses;
}
var MaxHeap = class {
@ -16952,26 +16956,26 @@ async function predict5(input, config3) {
if (!predictions)
return [];
const hands = [];
for (const prediction of predictions) {
for (let i = 0; i < predictions.length; i++) {
const annotations3 = {};
if (prediction.landmarks) {
if (predictions[i].landmarks) {
for (const key of Object.keys(meshAnnotations)) {
annotations3[key] = meshAnnotations[key].map((index) => prediction.landmarks[index]);
annotations3[key] = meshAnnotations[key].map((index) => predictions[i].landmarks[index]);
}
}
const box4 = prediction.box ? [
Math.max(0, prediction.box.topLeft[0]),
Math.max(0, prediction.box.topLeft[1]),
Math.min(input.shape[2], prediction.box.bottomRight[0]) - Math.max(0, prediction.box.topLeft[0]),
Math.min(input.shape[1], prediction.box.bottomRight[1]) - Math.max(0, prediction.box.topLeft[1])
] : [];
const box4 = predictions[i].box ? [
Math.max(0, predictions[i].box.topLeft[0]),
Math.max(0, predictions[i].box.topLeft[1]),
Math.min(input.shape[2], predictions[i].box.bottomRight[0]) - Math.max(0, predictions[i].box.topLeft[0]),
Math.min(input.shape[1], predictions[i].box.bottomRight[1]) - Math.max(0, predictions[i].box.topLeft[1])
] : [0, 0, 0, 0];
const boxRaw = [
prediction.box.topLeft[0] / input.shape[2],
prediction.box.topLeft[1] / input.shape[1],
(prediction.box.bottomRight[0] - prediction.box.topLeft[0]) / input.shape[2],
(prediction.box.bottomRight[1] - prediction.box.topLeft[1]) / input.shape[1]
predictions[i].box.topLeft[0] / input.shape[2],
predictions[i].box.topLeft[1] / input.shape[1],
(predictions[i].box.bottomRight[0] - predictions[i].box.topLeft[0]) / input.shape[2],
(predictions[i].box.bottomRight[1] - predictions[i].box.topLeft[1]) / input.shape[1]
];
hands.push({ confidence: Math.round(100 * prediction.confidence) / 100, box: box4, boxRaw, landmarks: prediction.landmarks, annotations: annotations3 });
hands.push({ id: i, confidence: Math.round(100 * predictions[i].confidence) / 100, box: box4, boxRaw, landmarks: predictions[i].landmarks, annotations: annotations3 });
}
return hands;
}
@ -17311,8 +17315,6 @@ async function process2(res, inputSize, outputShape, config3) {
return results;
}
async function predict7(image13, config3) {
if (!model5)
return null;
if (skipped3 < config3.object.skipFrames && config3.skipFrame && last3.length > 0) {
skipped3++;
return last3;
@ -17399,8 +17401,6 @@ async function process3(res, inputSize, outputShape, config3) {
return results;
}
async function predict8(image13, config3) {
if (!model6)
return null;
if (skipped4 < config3.object.skipFrames && config3.skipFrame && last4.length > 0) {
skipped4++;
return last4;
@ -18400,7 +18400,7 @@ var options = {
fillPolygons: false,
useDepth: true,
useCurves: false,
bufferedOutput: false,
bufferedOutput: true,
useRawBoxes: false,
calculateHandBox: true
};
@ -18439,7 +18439,7 @@ function lines(ctx, points = [], localOptions) {
for (const pt of points) {
ctx.strokeStyle = localOptions.useDepth && pt[2] ? `rgba(${127.5 + 2 * pt[2]}, ${127.5 - 2 * pt[2]}, 255, 0.3)` : localOptions.color;
ctx.fillStyle = localOptions.useDepth && pt[2] ? `rgba(${127.5 + 2 * pt[2]}, ${127.5 - 2 * pt[2]}, 255, 0.3)` : localOptions.color;
ctx.lineTo(pt[0], parseInt(pt[1]));
ctx.lineTo(pt[0], Math.round(pt[1]));
}
ctx.stroke();
if (localOptions.fillPolygons) {
@ -18558,24 +18558,24 @@ async function face2(inCanvas2, result, drawOptions) {
].map((index) => f.mesh[index]);
lines(ctx, points, localOptions);
}
if (f.annotations && f.annotations.leftEyeIris) {
if (f.annotations && f.annotations["leftEyeIris"]) {
ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color;
ctx.beginPath();
const sizeX = Math.abs(f.annotations.leftEyeIris[3][0] - f.annotations.leftEyeIris[1][0]) / 2;
const sizeY = Math.abs(f.annotations.leftEyeIris[4][1] - f.annotations.leftEyeIris[2][1]) / 2;
ctx.ellipse(f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
const sizeX = Math.abs(f.annotations["leftEyeIris"][3][0] - f.annotations["leftEyeIris"][1][0]) / 2;
const sizeY = Math.abs(f.annotations["leftEyeIris"][4][1] - f.annotations["leftEyeIris"][2][1]) / 2;
ctx.ellipse(f.annotations["leftEyeIris"][0][0], f.annotations["leftEyeIris"][0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
ctx.stroke();
if (localOptions.fillPolygons) {
ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color;
ctx.fill();
}
}
if (f.annotations && f.annotations.rightEyeIris) {
if (f.annotations && f.annotations["rightEyeIris"]) {
ctx.strokeStyle = localOptions.useDepth ? "rgba(255, 200, 255, 0.3)" : localOptions.color;
ctx.beginPath();
const sizeX = Math.abs(f.annotations.rightEyeIris[3][0] - f.annotations.rightEyeIris[1][0]) / 2;
const sizeY = Math.abs(f.annotations.rightEyeIris[4][1] - f.annotations.rightEyeIris[2][1]) / 2;
ctx.ellipse(f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
const sizeX = Math.abs(f.annotations["rightEyeIris"][3][0] - f.annotations["rightEyeIris"][1][0]) / 2;
const sizeY = Math.abs(f.annotations["rightEyeIris"][4][1] - f.annotations["rightEyeIris"][2][1]) / 2;
ctx.ellipse(f.annotations["rightEyeIris"][0][0], f.annotations["rightEyeIris"][0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
ctx.stroke();
if (localOptions.fillPolygons) {
ctx.fillStyle = localOptions.useDepth ? "rgba(255, 255, 200, 0.3)" : localOptions.color;
@ -18588,6 +18588,7 @@ async function face2(inCanvas2, result, drawOptions) {
}
var lastDrawnPose = [];
async function body2(inCanvas2, result, drawOptions) {
var _a;
const localOptions = mergeDeep(options, drawOptions);
if (!result || !inCanvas2)
return;
@ -18604,7 +18605,7 @@ async function body2(inCanvas2, result, drawOptions) {
ctx.fillStyle = localOptions.color;
ctx.lineWidth = localOptions.lineWidth;
ctx.font = localOptions.font;
if (localOptions.drawBoxes) {
if (localOptions.drawBoxes && result[i].box && ((_a = result[i].box) == null ? void 0 : _a.length) === 4) {
rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions);
if (localOptions.drawLabels) {
if (localOptions.shadowColor && localOptions.shadowColor !== "") {
@ -18790,12 +18791,12 @@ async function hand2(inCanvas2, result, drawOptions) {
ctx.fillText(title, part[part.length - 1][0] + 4, part[part.length - 1][1] + 4);
};
ctx.font = localOptions.font;
addHandLabel(h.annotations.indexFinger, "index");
addHandLabel(h.annotations.middleFinger, "middle");
addHandLabel(h.annotations.ringFinger, "ring");
addHandLabel(h.annotations.pinky, "pinky");
addHandLabel(h.annotations.thumb, "thumb");
addHandLabel(h.annotations.palmBase, "palm");
addHandLabel(h.annotations["indexFinger"], "index");
addHandLabel(h.annotations["middleFinger"], "middle");
addHandLabel(h.annotations["ringFinger"], "ring");
addHandLabel(h.annotations["pinky"], "pinky");
addHandLabel(h.annotations["thumb"], "thumb");
addHandLabel(h.annotations["palmBase"], "palm");
}
if (localOptions.drawPolygons) {
const addHandLine = (part) => {
@ -18810,11 +18811,11 @@ async function hand2(inCanvas2, result, drawOptions) {
}
};
ctx.lineWidth = localOptions.lineWidth;
addHandLine(h.annotations.indexFinger);
addHandLine(h.annotations.middleFinger);
addHandLine(h.annotations.ringFinger);
addHandLine(h.annotations.pinky);
addHandLine(h.annotations.thumb);
addHandLine(h.annotations["indexFinger"]);
addHandLine(h.annotations["middleFinger"]);
addHandLine(h.annotations["ringFinger"]);
addHandLine(h.annotations["pinky"]);
addHandLine(h.annotations["thumb"]);
}
}
}
@ -20013,7 +20014,7 @@ var Human = class {
}
this.perf.total = Math.trunc(now() - timeStart);
this.state = "idle";
const result = {
const res = {
face: faceRes,
body: bodyRes,
hand: handRes,
@ -20022,7 +20023,7 @@ var Human = class {
performance: this.perf,
canvas: process5.canvas
};
resolve(result);
resolve(res);
});
}
async warmup(userConfig = {}) {

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68
server/build.log
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@ -15,3 +15,71 @@
2021-05-21 06:52:08 INFO:  Generate types: ["src/human.ts"]
2021-05-21 06:52:13 INFO:  Update Change log: ["/home/vlado/dev/human/CHANGELOG.md"]
2021-05-21 06:52:13 INFO:  Generate TypeDocs: ["src/human.ts"]
2021-05-22 11:04:54 INFO:  @vladmandic/human version 1.9.1
2021-05-22 11:04:54 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.0.0
2021-05-22 11:04:54 INFO:  Build: file startup all type: production config: {"minifyWhitespace":true,"minifyIdentifiers":true,"minifySyntax":true}
2021-05-22 11:04:54 STATE: Build for: node type: tfjs: {"imports":1,"importBytes":39,"outputBytes":1292,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:04:54 STATE: Build for: node type: node: {"imports":36,"importBytes":418552,"outputBytes":377897,"outputFiles":"dist/human.node.js"}
2021-05-22 11:04:54 STATE: Build for: nodeGPU type: tfjs: {"imports":1,"importBytes":43,"outputBytes":1300,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:04:54 STATE: Build for: nodeGPU type: node: {"imports":36,"importBytes":418560,"outputBytes":377901,"outputFiles":"dist/human.node-gpu.js"}
2021-05-22 11:04:54 STATE: Build for: nodeWASM type: tfjs: {"imports":1,"importBytes":81,"outputBytes":1367,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:04:54 STATE: Build for: nodeWASM type: node: {"imports":36,"importBytes":418627,"outputBytes":377973,"outputFiles":"dist/human.node-wasm.js"}
2021-05-22 11:04:54 STATE: Build for: browserNoBundle type: tfjs: {"imports":1,"importBytes":2488,"outputBytes":1394,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:04:54 STATE: Build for: browserNoBundle type: esm: {"imports":36,"importBytes":418654,"outputBytes":232241,"outputFiles":"dist/human.esm-nobundle.js"}
2021-05-22 11:04:55 STATE: Build for: browserBundle type: tfjs: {"modules":1274,"moduleBytes":4114813,"imports":7,"importBytes":2488,"outputBytes":1111414,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:04:56 STATE: Build for: browserBundle type: iife: {"imports":36,"importBytes":1528674,"outputBytes":1340102,"outputFiles":"dist/human.js"}
2021-05-22 11:04:56 STATE: Build for: browserBundle type: esm: {"imports":36,"importBytes":1528674,"outputBytes":1340094,"outputFiles":"dist/human.esm.js"}
2021-05-22 11:04:56 INFO:  Generate types: ["src/human.ts"]
2021-05-22 11:05:02 INFO:  Update Change log: ["/home/vlado/dev/human/CHANGELOG.md"]
2021-05-22 11:05:02 INFO:  Generate TypeDocs: ["src/human.ts"]
2021-05-22 11:08:48 INFO:  @vladmandic/human version 1.9.1
2021-05-22 11:08:48 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.0.0
2021-05-22 11:08:48 INFO:  Build: file startup all type: production config: {"minifyWhitespace":true,"minifyIdentifiers":true,"minifySyntax":true}
2021-05-22 11:08:48 STATE: Build for: node type: tfjs: {"imports":1,"importBytes":39,"outputBytes":1292,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:08:48 STATE: Build for: node type: node: {"imports":36,"importBytes":418552,"outputBytes":377897,"outputFiles":"dist/human.node.js"}
2021-05-22 11:08:48 STATE: Build for: nodeGPU type: tfjs: {"imports":1,"importBytes":43,"outputBytes":1300,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:08:48 STATE: Build for: nodeGPU type: node: {"imports":36,"importBytes":418560,"outputBytes":377901,"outputFiles":"dist/human.node-gpu.js"}
2021-05-22 11:08:48 STATE: Build for: nodeWASM type: tfjs: {"imports":1,"importBytes":81,"outputBytes":1367,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:08:48 STATE: Build for: nodeWASM type: node: {"imports":36,"importBytes":418627,"outputBytes":377973,"outputFiles":"dist/human.node-wasm.js"}
2021-05-22 11:08:48 STATE: Build for: browserNoBundle type: tfjs: {"imports":1,"importBytes":2488,"outputBytes":1394,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:08:48 STATE: Build for: browserNoBundle type: esm: {"imports":36,"importBytes":418654,"outputBytes":232241,"outputFiles":"dist/human.esm-nobundle.js"}
2021-05-22 11:08:49 STATE: Build for: browserBundle type: tfjs: {"modules":1274,"moduleBytes":4114813,"imports":7,"importBytes":2488,"outputBytes":1111414,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:08:49 STATE: Build for: browserBundle type: iife: {"imports":36,"importBytes":1528674,"outputBytes":1340102,"outputFiles":"dist/human.js"}
2021-05-22 11:08:50 STATE: Build for: browserBundle type: esm: {"imports":36,"importBytes":1528674,"outputBytes":1340094,"outputFiles":"dist/human.esm.js"}
2021-05-22 11:08:50 INFO:  Generate types: ["src/human.ts"]
2021-05-22 11:08:56 INFO:  Update Change log: ["/home/vlado/dev/human/CHANGELOG.md"]
2021-05-22 11:08:56 INFO:  Generate TypeDocs: ["src/human.ts"]
2021-05-22 11:09:59 INFO:  @vladmandic/human version 1.9.1
2021-05-22 11:09:59 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.0.0
2021-05-22 11:09:59 INFO:  Build: file startup all type: production config: {"minifyWhitespace":true,"minifyIdentifiers":true,"minifySyntax":true}
2021-05-22 11:09:59 STATE: Build for: node type: tfjs: {"imports":1,"importBytes":39,"outputBytes":1292,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:09:59 STATE: Build for: node type: node: {"imports":36,"importBytes":418552,"outputBytes":377897,"outputFiles":"dist/human.node.js"}
2021-05-22 11:09:59 STATE: Build for: nodeGPU type: tfjs: {"imports":1,"importBytes":43,"outputBytes":1300,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:09:59 STATE: Build for: nodeGPU type: node: {"imports":36,"importBytes":418560,"outputBytes":377901,"outputFiles":"dist/human.node-gpu.js"}
2021-05-22 11:10:00 STATE: Build for: nodeWASM type: tfjs: {"imports":1,"importBytes":81,"outputBytes":1367,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:10:00 STATE: Build for: nodeWASM type: node: {"imports":36,"importBytes":418627,"outputBytes":377973,"outputFiles":"dist/human.node-wasm.js"}
2021-05-22 11:10:00 STATE: Build for: browserNoBundle type: tfjs: {"imports":1,"importBytes":2488,"outputBytes":1394,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:10:00 STATE: Build for: browserNoBundle type: esm: {"imports":36,"importBytes":418654,"outputBytes":232241,"outputFiles":"dist/human.esm-nobundle.js"}
2021-05-22 11:10:00 STATE: Build for: browserBundle type: tfjs: {"modules":1274,"moduleBytes":4114813,"imports":7,"importBytes":2488,"outputBytes":1111414,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:10:01 STATE: Build for: browserBundle type: iife: {"imports":36,"importBytes":1528674,"outputBytes":1340102,"outputFiles":"dist/human.js"}
2021-05-22 11:10:01 STATE: Build for: browserBundle type: esm: {"imports":36,"importBytes":1528674,"outputBytes":1340094,"outputFiles":"dist/human.esm.js"}
2021-05-22 11:10:01 INFO:  Generate types: ["src/human.ts"]
2021-05-22 11:10:07 INFO:  Update Change log: ["/home/vlado/dev/human/CHANGELOG.md"]
2021-05-22 11:10:07 INFO:  Generate TypeDocs: ["src/human.ts"]
2021-05-22 11:27:28 INFO:  @vladmandic/human version 1.9.1
2021-05-22 11:27:28 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.0.0
2021-05-22 11:27:28 INFO:  Build: file startup all type: production config: {"minifyWhitespace":true,"minifyIdentifiers":true,"minifySyntax":true}
2021-05-22 11:27:28 STATE: Build for: node type: tfjs: {"imports":1,"importBytes":39,"outputBytes":1292,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:27:28 STATE: Build for: node type: node: {"imports":36,"importBytes":418710,"outputBytes":377974,"outputFiles":"dist/human.node.js"}
2021-05-22 11:27:28 STATE: Build for: nodeGPU type: tfjs: {"imports":1,"importBytes":43,"outputBytes":1300,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:27:28 STATE: Build for: nodeGPU type: node: {"imports":36,"importBytes":418718,"outputBytes":377978,"outputFiles":"dist/human.node-gpu.js"}
2021-05-22 11:27:28 STATE: Build for: nodeWASM type: tfjs: {"imports":1,"importBytes":81,"outputBytes":1367,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:27:28 STATE: Build for: nodeWASM type: node: {"imports":36,"importBytes":418785,"outputBytes":378050,"outputFiles":"dist/human.node-wasm.js"}
2021-05-22 11:27:28 STATE: Build for: browserNoBundle type: tfjs: {"imports":1,"importBytes":2488,"outputBytes":1394,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:27:28 STATE: Build for: browserNoBundle type: esm: {"imports":36,"importBytes":418812,"outputBytes":232243,"outputFiles":"dist/human.esm-nobundle.js"}
2021-05-22 11:27:29 STATE: Build for: browserBundle type: tfjs: {"modules":1274,"moduleBytes":4114813,"imports":7,"importBytes":2488,"outputBytes":1111414,"outputFiles":"dist/tfjs.esm.js"}
2021-05-22 11:27:29 STATE: Build for: browserBundle type: iife: {"imports":36,"importBytes":1528832,"outputBytes":1340104,"outputFiles":"dist/human.js"}
2021-05-22 11:27:30 STATE: Build for: browserBundle type: esm: {"imports":36,"importBytes":1528832,"outputBytes":1340096,"outputFiles":"dist/human.esm.js"}
2021-05-22 11:27:30 INFO:  Generate types: ["src/human.ts"]
2021-05-22 11:27:35 INFO:  Update Change log: ["/home/vlado/dev/human/CHANGELOG.md"]
2021-05-22 11:27:35 INFO:  Generate TypeDocs: ["src/human.ts"]

65
src/draw/draw.ts
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@ -1,5 +1,6 @@
import { TRI468 as triangulation } from '../blazeface/coords';
import { mergeDeep } from '../helpers';
import type { Result, Face, Body, Hand, Item, Gesture } from '../result';
/**
* Draw Options
@ -59,7 +60,7 @@ export const options: DrawOptions = {
fillPolygons: <Boolean>false,
useDepth: <Boolean>true,
useCurves: <Boolean>false,
bufferedOutput: <Boolean>false,
bufferedOutput: <Boolean>true,
useRawBoxes: <Boolean>false,
calculateHandBox: <Boolean>true,
};
@ -93,14 +94,14 @@ function rect(ctx, x, y, width, height, localOptions) {
ctx.stroke();
}
function lines(ctx, points: number[] = [], localOptions) {
function lines(ctx, points: [number, number, number][] = [], localOptions) {
if (points === undefined || points.length === 0) return;
ctx.beginPath();
ctx.moveTo(points[0][0], points[0][1]);
for (const pt of points) {
ctx.strokeStyle = localOptions.useDepth && pt[2] ? `rgba(${127.5 + (2 * pt[2])}, ${127.5 - (2 * pt[2])}, 255, 0.3)` : localOptions.color;
ctx.fillStyle = localOptions.useDepth && pt[2] ? `rgba(${127.5 + (2 * pt[2])}, ${127.5 - (2 * pt[2])}, 255, 0.3)` : localOptions.color;
ctx.lineTo(pt[0], parseInt(pt[1]));
ctx.lineTo(pt[0], Math.round(pt[1]));
}
ctx.stroke();
if (localOptions.fillPolygons) {
@ -109,7 +110,7 @@ function lines(ctx, points: number[] = [], localOptions) {
}
}
function curves(ctx, points: number[] = [], localOptions) {
function curves(ctx, points: [number, number, number][] = [], localOptions) {
if (points === undefined || points.length === 0) return;
if (!localOptions.useCurves || points.length <= 2) {
lines(ctx, points, localOptions);
@ -129,7 +130,7 @@ function curves(ctx, points: number[] = [], localOptions) {
}
}
export async function gesture(inCanvas: HTMLCanvasElement, result: Array<any>, drawOptions?: DrawOptions) {
export async function gesture(inCanvas: HTMLCanvasElement, result: Array<Gesture>, drawOptions?: DrawOptions) {
const localOptions = mergeDeep(options, drawOptions);
if (!result || !inCanvas) return;
if (!(inCanvas instanceof HTMLCanvasElement)) return;
@ -156,7 +157,7 @@ export async function gesture(inCanvas: HTMLCanvasElement, result: Array<any>, d
}
}
export async function face(inCanvas: HTMLCanvasElement, result: Array<any>, drawOptions?: DrawOptions) {
export async function face(inCanvas: HTMLCanvasElement, result: Array<Face>, drawOptions?: DrawOptions) {
const localOptions = mergeDeep(options, drawOptions);
if (!result || !inCanvas) return;
if (!(inCanvas instanceof HTMLCanvasElement)) return;
@ -211,24 +212,24 @@ export async function face(inCanvas: HTMLCanvasElement, result: Array<any>, draw
lines(ctx, points, localOptions);
}
// iris: array[center, left, top, right, bottom]
if (f.annotations && f.annotations.leftEyeIris) {
if (f.annotations && f.annotations['leftEyeIris']) {
ctx.strokeStyle = localOptions.useDepth ? 'rgba(255, 200, 255, 0.3)' : localOptions.color;
ctx.beginPath();
const sizeX = Math.abs(f.annotations.leftEyeIris[3][0] - f.annotations.leftEyeIris[1][0]) / 2;
const sizeY = Math.abs(f.annotations.leftEyeIris[4][1] - f.annotations.leftEyeIris[2][1]) / 2;
ctx.ellipse(f.annotations.leftEyeIris[0][0], f.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
const sizeX = Math.abs(f.annotations['leftEyeIris'][3][0] - f.annotations['leftEyeIris'][1][0]) / 2;
const sizeY = Math.abs(f.annotations['leftEyeIris'][4][1] - f.annotations['leftEyeIris'][2][1]) / 2;
ctx.ellipse(f.annotations['leftEyeIris'][0][0], f.annotations['leftEyeIris'][0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
ctx.stroke();
if (localOptions.fillPolygons) {
ctx.fillStyle = localOptions.useDepth ? 'rgba(255, 255, 200, 0.3)' : localOptions.color;
ctx.fill();
}
}
if (f.annotations && f.annotations.rightEyeIris) {
if (f.annotations && f.annotations['rightEyeIris']) {
ctx.strokeStyle = localOptions.useDepth ? 'rgba(255, 200, 255, 0.3)' : localOptions.color;
ctx.beginPath();
const sizeX = Math.abs(f.annotations.rightEyeIris[3][0] - f.annotations.rightEyeIris[1][0]) / 2;
const sizeY = Math.abs(f.annotations.rightEyeIris[4][1] - f.annotations.rightEyeIris[2][1]) / 2;
ctx.ellipse(f.annotations.rightEyeIris[0][0], f.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
const sizeX = Math.abs(f.annotations['rightEyeIris'][3][0] - f.annotations['rightEyeIris'][1][0]) / 2;
const sizeY = Math.abs(f.annotations['rightEyeIris'][4][1] - f.annotations['rightEyeIris'][2][1]) / 2;
ctx.ellipse(f.annotations['rightEyeIris'][0][0], f.annotations['rightEyeIris'][0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);
ctx.stroke();
if (localOptions.fillPolygons) {
ctx.fillStyle = localOptions.useDepth ? 'rgba(255, 255, 200, 0.3)' : localOptions.color;
@ -241,7 +242,7 @@ export async function face(inCanvas: HTMLCanvasElement, result: Array<any>, draw
}
const lastDrawnPose:any[] = [];
export async function body(inCanvas: HTMLCanvasElement, result: Array<any>, drawOptions?: DrawOptions) {
export async function body(inCanvas: HTMLCanvasElement, result: Array<Body>, drawOptions?: DrawOptions) {
const localOptions = mergeDeep(options, drawOptions);
if (!result || !inCanvas) return;
if (!(inCanvas instanceof HTMLCanvasElement)) return;
@ -249,20 +250,22 @@ export async function body(inCanvas: HTMLCanvasElement, result: Array<any>, draw
if (!ctx) return;
ctx.lineJoin = 'round';
for (let i = 0; i < result.length; i++) {
// result[i].keypoints = result[i].keypoints.filter((a) => a.score > 0.5);
if (!lastDrawnPose[i] && localOptions.bufferedOutput) lastDrawnPose[i] = { ...result[i] };
ctx.strokeStyle = localOptions.color;
ctx.fillStyle = localOptions.color;
ctx.lineWidth = localOptions.lineWidth;
ctx.font = localOptions.font;
if (localOptions.drawBoxes) {
if (localOptions.drawBoxes && result[i].box && result[i].box?.length === 4) {
// @ts-ignore box may not exist
rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions);
if (localOptions.drawLabels) {
if (localOptions.shadowColor && localOptions.shadowColor !== '') {
ctx.fillStyle = localOptions.shadowColor;
// @ts-ignore box may not exist
ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 3, 1 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);
}
ctx.fillStyle = localOptions.labelColor;
// @ts-ignore box may not exist
ctx.fillText(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);
}
}
@ -361,7 +364,7 @@ export async function body(inCanvas: HTMLCanvasElement, result: Array<any>, draw
}
}
export async function hand(inCanvas: HTMLCanvasElement, result: Array<any>, drawOptions?: DrawOptions) {
export async function hand(inCanvas: HTMLCanvasElement, result: Array<Hand>, drawOptions?: DrawOptions) {
const localOptions = mergeDeep(options, drawOptions);
if (!result || !inCanvas) return;
if (!(inCanvas instanceof HTMLCanvasElement)) return;
@ -415,12 +418,12 @@ export async function hand(inCanvas: HTMLCanvasElement, result: Array<any>, draw
ctx.fillText(title, part[part.length - 1][0] + 4, part[part.length - 1][1] + 4);
};
ctx.font = localOptions.font;
addHandLabel(h.annotations.indexFinger, 'index');
addHandLabel(h.annotations.middleFinger, 'middle');
addHandLabel(h.annotations.ringFinger, 'ring');
addHandLabel(h.annotations.pinky, 'pinky');
addHandLabel(h.annotations.thumb, 'thumb');
addHandLabel(h.annotations.palmBase, 'palm');
addHandLabel(h.annotations['indexFinger'], 'index');
addHandLabel(h.annotations['middleFinger'], 'middle');
addHandLabel(h.annotations['ringFinger'], 'ring');
addHandLabel(h.annotations['pinky'], 'pinky');
addHandLabel(h.annotations['thumb'], 'thumb');
addHandLabel(h.annotations['palmBase'], 'palm');
}
if (localOptions.drawPolygons) {
const addHandLine = (part) => {
@ -434,17 +437,17 @@ export async function hand(inCanvas: HTMLCanvasElement, result: Array<any>, draw
}
};
ctx.lineWidth = localOptions.lineWidth;
addHandLine(h.annotations.indexFinger);
addHandLine(h.annotations.middleFinger);
addHandLine(h.annotations.ringFinger);
addHandLine(h.annotations.pinky);
addHandLine(h.annotations.thumb);
addHandLine(h.annotations['indexFinger']);
addHandLine(h.annotations['middleFinger']);
addHandLine(h.annotations['ringFinger']);
addHandLine(h.annotations['pinky']);
addHandLine(h.annotations['thumb']);
// addPart(h.annotations.palmBase);
}
}
}
export async function object(inCanvas: HTMLCanvasElement, result: Array<any>, drawOptions?: DrawOptions) {
export async function object(inCanvas: HTMLCanvasElement, result: Array<Item>, drawOptions?: DrawOptions) {
const localOptions = mergeDeep(options, drawOptions);
if (!result || !inCanvas) return;
if (!(inCanvas instanceof HTMLCanvasElement)) return;
@ -479,7 +482,7 @@ export async function canvas(inCanvas: HTMLCanvasElement, outCanvas: HTMLCanvasE
outCtx?.drawImage(inCanvas, 0, 0);
}
export async function all(inCanvas: HTMLCanvasElement, result:any, drawOptions?: DrawOptions) {
export async function all(inCanvas: HTMLCanvasElement, result: Result, drawOptions?: DrawOptions) {
const localOptions = mergeDeep(options, drawOptions);
if (!result || !inCanvas) return;
if (!(inCanvas instanceof HTMLCanvasElement)) return;

6
src/efficientpose/efficientpose.ts
View File

@ -1,5 +1,6 @@
import { log, join } from '../helpers';
import * as tf from '../../dist/tfjs.esm.js';
import { Body } from '../result';
let model;
let keypoints: Array<any> = [];
@ -37,8 +38,7 @@ function max2d(inputs, minScore) {
});
}
export async function predict(image, config) {
if (!model) return null;
export async function predict(image, config): Promise<Body[]> {
if ((skipped < config.body.skipFrames) && config.skipFrame && Object.keys(keypoints).length > 0) {
skipped++;
return keypoints;
@ -87,6 +87,6 @@ export async function predict(image, config) {
keypoints = parts;
}
const score = keypoints.reduce((prev, curr) => (curr.score > prev ? curr.score : prev), 0);
resolve([{ score, keypoints }]);
resolve([{ id: 0, score, keypoints }]);
});
}

27
src/face.ts
View File

@ -1,10 +1,8 @@
import { log, now } from './helpers';
import * as tf from '../dist/tfjs.esm.js';
import * as facemesh from './blazeface/facemesh';
import * as emotion from './emotion/emotion';
import * as faceres from './faceres/faceres';
type Tensor = typeof tf.Tensor;
import { Face } from './result';
const calculateFaceAngle = (face, image_size): { angle: { pitch: number, yaw: number, roll: number }, matrix: [number, number, number, number, number, number, number, number, number] } => {
// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars
@ -107,27 +105,7 @@ export const detectFace = async (parent, input): Promise<any> => {
let emotionRes;
let embeddingRes;
let descRes;
const faceRes: Array<{
confidence: number,
boxConfidence: number,
faceConfidence: number,
box: [number, number, number, number],
mesh: Array<[number, number, number]>
meshRaw: Array<[number, number, number]>
boxRaw: [number, number, number, number],
annotations: Array<{ part: string, points: Array<[number, number, number]>[] }>,
age: number,
gender: string,
genderConfidence: number,
emotion: string,
embedding: number[],
iris: number,
rotation: {
angle: { pitch: number, yaw: number, roll: number },
matrix: [number, number, number, number, number, number, number, number, number]
},
tensor: Tensor,
}> = [];
const faceRes: Array<Face> = [];
parent.state = 'run:face';
timeStamp = now();
const faces = await facemesh.predict(input, parent.config);
@ -189,6 +167,7 @@ export const detectFace = async (parent, input): Promise<any> => {
// combine results
faceRes.push({
id: i,
...faces[i],
age: descRes.age,
gender: descRes.gender,

10
src/gesture/gesture.ts
View File

@ -1,4 +1,6 @@
export const body = (res) => {
import { Gesture } from '../result';
export const body = (res): Gesture[] => {
if (!res) return [];
const gestures: Array<{ body: number, gesture: string }> = [];
for (let i = 0; i < res.length; i++) {
@ -18,7 +20,7 @@ export const body = (res) => {
return gestures;
};
export const face = (res) => {
export const face = (res): Gesture[] => {
if (!res) return [];
const gestures: Array<{ face: number, gesture: string }> = [];
for (let i = 0; i < res.length; i++) {
@ -39,7 +41,7 @@ export const face = (res) => {
return gestures;
};
export const iris = (res) => {
export const iris = (res): Gesture[] => {
if (!res) return [];
const gestures: Array<{ iris: number, gesture: string }> = [];
for (let i = 0; i < res.length; i++) {
@ -77,7 +79,7 @@ export const iris = (res) => {
return gestures;
};
export const hand = (res) => {
export const hand = (res): Gesture[] => {
if (!res) return [];
const gestures: Array<{ hand: number, gesture: string }> = [];
for (let i = 0; i < res.length; i++) {

35
src/handpose/handpose.ts
View File

@ -2,6 +2,7 @@ import { log, join } from '../helpers';
import * as tf from '../../dist/tfjs.esm.js';
import * as handdetector from './handdetector';
import * as handpipeline from './handpipeline';
import { Hand } from '../result';
const meshAnnotations = {
thumb: [1, 2, 3, 4],
@ -16,30 +17,30 @@ let handDetectorModel;
let handPoseModel;
let handPipeline;
export async function predict(input, config) {
export async function predict(input, config): Promise<Hand[]> {
const predictions = await handPipeline.estimateHands(input, config);
if (!predictions) return [];
const hands: Array<{ confidence: number, box: any, boxRaw: any, landmarks: any, annotations: any }> = [];
for (const prediction of predictions) {
const hands: Array<Hand> = [];
for (let i = 0; i < predictions.length; i++) {
const annotations = {};
if (prediction.landmarks) {
if (predictions[i].landmarks) {
for (const key of Object.keys(meshAnnotations)) {
annotations[key] = meshAnnotations[key].map((index) => prediction.landmarks[index]);
annotations[key] = meshAnnotations[key].map((index) => predictions[i].landmarks[index]);
}
}
const box = prediction.box ? [
Math.max(0, prediction.box.topLeft[0]),
Math.max(0, prediction.box.topLeft[1]),
Math.min(input.shape[2], prediction.box.bottomRight[0]) - Math.max(0, prediction.box.topLeft[0]),
Math.min(input.shape[1], prediction.box.bottomRight[1]) - Math.max(0, prediction.box.topLeft[1]),
] : [];
const boxRaw = [
(prediction.box.topLeft[0]) / input.shape[2],
(prediction.box.topLeft[1]) / input.shape[1],
(prediction.box.bottomRight[0] - prediction.box.topLeft[0]) / input.shape[2],
(prediction.box.bottomRight[1] - prediction.box.topLeft[1]) / input.shape[1],
const box: [number, number, number, number] = predictions[i].box ? [
Math.max(0, predictions[i].box.topLeft[0]),
Math.max(0, predictions[i].box.topLeft[1]),
Math.min(input.shape[2], predictions[i].box.bottomRight[0]) - Math.max(0, predictions[i].box.topLeft[0]),
Math.min(input.shape[1], predictions[i].box.bottomRight[1]) - Math.max(0, predictions[i].box.topLeft[1]),
] : [0, 0, 0, 0];
const boxRaw: [number, number, number, number] = [
(predictions[i].box.topLeft[0]) / input.shape[2],
(predictions[i].box.topLeft[1]) / input.shape[1],
(predictions[i].box.bottomRight[0] - predictions[i].box.topLeft[0]) / input.shape[2],
(predictions[i].box.bottomRight[1] - predictions[i].box.topLeft[1]) / input.shape[1],
];
hands.push({ confidence: Math.round(100 * prediction.confidence) / 100, box, boxRaw, landmarks: prediction.landmarks, annotations });
hands.push({ id: i, confidence: Math.round(100 * predictions[i].confidence) / 100, box, boxRaw, landmarks: predictions[i].landmarks, annotations });
}
return hands;
}

6
src/human.ts
View File

@ -23,7 +23,7 @@ import * as app from '../package.json';
export type Tensor = typeof tf.Tensor;
export type { Config } from './config';
export type { Result } from './result';
export type { Result, Face, Hand, Body, Item, Gesture } from './result';
export type { DrawOptions } from './draw/draw';
/** Defines all possible input types for **Human** detection */
@ -530,7 +530,7 @@ export class Human {
this.perf.total = Math.trunc(now() - timeStart);
this.state = 'idle';
const result = {
const res = {
face: faceRes,
body: bodyRes,
hand: handRes,
@ -540,7 +540,7 @@ export class Human {
canvas: process.canvas,
};
// log('Result:', result);
resolve(result);
resolve(res);
});
}

6
src/object/centernet.ts
View File

@ -1,9 +1,10 @@
import { log, join } from '../helpers';
import * as tf from '../../dist/tfjs.esm.js';
import { labels } from './labels';
import { Item } from '../result';
let model;
let last: Array<{}> = [];
let last: Item[] = [];
let skipped = Number.MAX_SAFE_INTEGER;
export async function load(config) {
@ -58,8 +59,7 @@ async function process(res, inputSize, outputShape, config) {
return results;
}
export async function predict(image, config) {
if (!model) return null;
export async function predict(image, config): Promise<Item[]> {
if ((skipped < config.object.skipFrames) && config.skipFrame && (last.length > 0)) {
skipped++;
return last;

6
src/object/nanodet.ts
View File

@ -1,9 +1,10 @@
import { log, join } from '../helpers';
import * as tf from '../../dist/tfjs.esm.js';
import { labels } from './labels';
import { Item } from '../result';
let model;
let last: Array<{}> = [];
let last: Array<Item> = [];
let skipped = Number.MAX_SAFE_INTEGER;
const scaleBox = 2.5; // increase box size
@ -95,8 +96,7 @@ async function process(res, inputSize, outputShape, config) {
return results;
}
export async function predict(image, config) {
if (!model) return null;
export async function predict(image, config): Promise<Item[]> {
if ((skipped < config.object.skipFrames) && config.skipFrame && (last.length > 0)) {
skipped++;
return last;

5
src/posenet/posenet.ts
View File

@ -2,11 +2,12 @@ import { log, join } from '../helpers';
import * as tf from '../../dist/tfjs.esm.js';
import * as poses from './poses';
import * as util from './utils';
import { Body } from '../result';
let model;
const poseNetOutputs = ['MobilenetV1/offset_2/BiasAdd'/* offsets */, 'MobilenetV1/heatmap_2/BiasAdd'/* heatmapScores */, 'MobilenetV1/displacement_fwd_2/BiasAdd'/* displacementFwd */, 'MobilenetV1/displacement_bwd_2/BiasAdd'/* displacementBwd */];
export async function predict(input, config) {
export async function predict(input, config): Promise<Body[]> {
const res = tf.tidy(() => {
const resized = input.resizeBilinear([model.inputs[0].shape[2], model.inputs[0].shape[1]]);
const normalized = resized.toFloat().div(127.5).sub(1.0);
@ -20,7 +21,7 @@ export async function predict(input, config) {
for (const t of res) t.dispose();
const decoded = await poses.decode(buffers[0], buffers[1], buffers[2], buffers[3], config.body.maxDetected, config.body.minConfidence);
const scaled = util.scalePoses(decoded, [input.shape[1], input.shape[2]], [model.inputs[0].shape[2], model.inputs[0].shape[1]]);
const scaled = util.scalePoses(decoded, [input.shape[1], input.shape[2]], [model.inputs[0].shape[2], model.inputs[0].shape[1]]) as Body[];
return scaled;
}

7
src/posenet/utils.ts
View File

@ -30,8 +30,11 @@ export function getBoundingBox(keypoints) {
}
export function scalePoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {
const scalePose = (pose, scaleY, scaleX) => ({
const scaleY = height / inputResolutionHeight;
const scaleX = width / inputResolutionWidth;
const scalePose = (pose) => ({
score: pose.score,
bowRaw: [pose.box[0] / inputResolutionWidth, pose.box[1] / inputResolutionHeight, pose.box[2] / inputResolutionWidth, pose.box[3] / inputResolutionHeight],
box: [Math.trunc(pose.box[0] * scaleX), Math.trunc(pose.box[1] * scaleY), Math.trunc(pose.box[2] * scaleX), Math.trunc(pose.box[3] * scaleY)],
keypoints: pose.keypoints.map(({ score, part, position }) => ({
score,
@ -39,7 +42,7 @@ export function scalePoses(poses, [height, width], [inputResolutionHeight, input
position: { x: Math.trunc(position.x * scaleX), y: Math.trunc(position.y * scaleY) },
})),
});
const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));
const scaledPoses = poses.map((pose) => scalePose(pose));
return scaledPoses;
}

247
src/result.ts
View File

@ -3,114 +3,151 @@
*
* Contains all possible detection results
*/
export interface Result {
/** Face results
* Combined results of face detector, face mesh, age, gender, emotion, embedding, iris models
* Some values may be null if specific model is not enabled
*
* Array of individual results with one object per detected face
* Each result has:
* - overal detection confidence value
* - box detection confidence value
* - mesh detection confidence value
* - box as array of [x, y, width, height], normalized to image resolution
* - boxRaw as array of [x, y, width, height], normalized to range 0..1
* - mesh as array of [x, y, z] points of face mesh, normalized to image resolution
* - meshRaw as array of [x, y, z] points of face mesh, normalized to range 0..1
* - annotations as array of annotated face mesh points
* - age as value
* - gender as value
* - genderConfidence as value
* - emotion as array of possible emotions with their individual scores
* - iris as distance value
* - angle as object with values for roll, yaw and pitch angles
* - tensor as Tensor object which contains detected face
*/
face: Array<{
confidence: number,
boxConfidence: number,
faceConfidence: number,
box: [number, number, number, number],
boxRaw: [number, number, number, number],
mesh: Array<[number, number, number]>
meshRaw: Array<[number, number, number]>
annotations: Array<{ part: string, points: Array<[number, number, number]>[] }>,
age: number,
gender: string,
genderConfidence: number,
emotion: Array<{ score: number, emotion: string }>,
embedding: Array<number>,
iris: number,
rotation: {
angle: { roll: number, yaw: number, pitch: number },
matrix: Array<[number, number, number, number, number, number, number, number, number]>
}
tensor: any,
}>,
/** Body results
*
* Array of individual results with one object per detected body
* Each results has:
* - body id number
* - body part name
* - part position with x,y,z coordinates
* - body part score value
* - body part presence value
*/
body: Array<{
id: number,
/** Face results
* Combined results of face detector, face mesh, age, gender, emotion, embedding, iris models
* Some values may be null if specific model is not enabled
*
* Array of individual results with one object per detected face
* Each result has:
* - id: face number
* - confidence: overal detection confidence value
* - boxConfidence: face box detection confidence value
* - faceConfidence: face keypoints detection confidence value
* - box: face bounding box as array of [x, y, width, height], normalized to image resolution
* - boxRaw: face bounding box as array of [x, y, width, height], normalized to range 0..1
* - mesh: face keypoints as array of [x, y, z] points of face mesh, normalized to image resolution
* - meshRaw: face keypoints as array of [x, y, z] points of face mesh, normalized to range 0..1
* - annotations: annotated face keypoints as array of annotated face mesh points
* - age: age as value
* - gender: gender as value
* - genderConfidence: gender detection confidence as value
* - emotion: emotions as array of possible emotions with their individual scores
* - embedding: facial descriptor as array of numerical elements
* - iris: iris distance from current viewpoint as distance value
* - rotation: face rotiation that contains both angles and matrix used for 3d transformations
* - angle: face angle as object with values for roll, yaw and pitch angles
* - matrix: 3d transofrmation matrix as array of numeric values
* - tensor: face tensor as Tensor object which contains detected face
*/
export interface Face {
id: number
confidence: number,
boxConfidence: number,
faceConfidence: number,
box: [number, number, number, number],
boxRaw: [number, number, number, number],
mesh: Array<[number, number, number]>
meshRaw: Array<[number, number, number]>
annotations: Array<{ part: string, points: Array<[number, number, number]>[] }>,
age: number,
gender: string,
genderConfidence: number,
emotion: Array<{ score: number, emotion: string }>,
embedding: Array<number>,
iris: number,
rotation: {
angle: { roll: number, yaw: number, pitch: number },
matrix: [number, number, number, number, number, number, number, number, number],
}
tensor: any,
}
/** Body results
*
* Array of individual results with one object per detected body
* Each results has:
* - id:body id number
* - score: overall detection score
* - box: bounding box: x, y, width, height normalized to input image resolution
* - boxRaw: bounding box: x, y, width, height normalized to 0..1
* - keypoints: array of keypoints
* - part: body part name
* - position: body part position with x,y,z coordinates
* - score: body part score value
* - presence: body part presence value
*/
export interface Body {
id: number,
score: number,
box?: [x: number, y: number, width: number, height: number],
boxRaw?: [x: number, y: number, width: number, height: number],
keypoints: Array<{
part: string,
position: { x: number, y: number, z: number },
score: number,
presence: number }>,
/** Hand results
*
* Array of individual results with one object per detected hand
* Each result has:
* - confidence as value
* - box as array of [x, y, width, height], normalized to image resolution
* - boxRaw as array of [x, y, width, height], normalized to range 0..1
* - landmarks as array of [x, y, z] points of hand, normalized to image resolution
* - annotations as array of annotated face landmark points
*/
hand: Array<{
confidence: number,
box: [number, number, number, number],
boxRaw: [number, number, number, number],
landmarks: Array<[number, number, number]>,
annotations: Array<{ part: string, points: Array<[number, number, number]>[] }>,
}>,
/** Gesture results
*
* Array of individual results with one object per detected gesture
* Each result has:
* - part: part name and number where gesture was detected: face, iris, body, hand
* - gesture: gesture detected
*/
gesture: Array<
{ 'face': number, gesture: string } | { 'iris': number, gesture: string } | { 'body': number, gesture: string } | { 'hand': number, gesture: string }
>,
/** Object results
*
* Array of individual results with one object per detected gesture
* Each result has:
* - score as value
* - label as detected class name
* - center as array of [x, y], normalized to image resolution
* - centerRaw as array of [x, y], normalized to range 0..1
* - box as array of [x, y, width, height], normalized to image resolution
* - boxRaw as array of [x, y, width, height], normalized to range 0..1
*/
object: Array<{
score: number,
strideSize: number,
class: number,
label: string,
center: number[],
centerRaw: number[],
box: number[],
boxRaw: number[],
}>,
presence: number,
}>
}
/** Hand results
*
* Array of individual results with one object per detected hand
* Each result has:
* - confidence as value
* - box as array of [x, y, width, height], normalized to image resolution
* - boxRaw as array of [x, y, width, height], normalized to range 0..1
* - landmarks as array of [x, y, z] points of hand, normalized to image resolution
* - annotations as array of annotated face landmark points
*/
export interface Hand {
id: number,
confidence: number,
box: [number, number, number, number],
boxRaw: [number, number, number, number],
landmarks: Array<[number, number, number]>,
// annotations: Array<{ part: string, points: Array<[number, number, number]> }>,
// annotations: Annotations,
annotations: Record<string, Array<{ part: string, points: Array<[number, number, number]> }>>,
}
/** Object results
*
* Array of individual results with one object per detected gesture
* Each result has:
* - score as value
* - label as detected class name
* - center as array of [x, y], normalized to image resolution
* - centerRaw as array of [x, y], normalized to range 0..1
* - box as array of [x, y, width, height], normalized to image resolution
* - boxRaw as array of [x, y, width, height], normalized to range 0..1
*/
export interface Item {
score: number,
strideSize?: number,
class: number,
label: string,
center?: number[],
centerRaw?: number[],
box: number[],
boxRaw: number[],
}
/** Gesture results
*
* Array of individual results with one object per detected gesture
* Each result has:
* - part: part name and number where gesture was detected: face, iris, body, hand
* - gesture: gesture detected
*/
export type Gesture =
{ 'face': number, gesture: string }
| { 'iris': number, gesture: string }
| { 'body': number, gesture: string }
| { 'hand': number, gesture: string }
export interface Result {
/** {@link Face}: detection & analysis results */
face: Array<Face>,
/** {@link Body}: detection & analysis results */
body: Array<Body>,
/** {@link Hand}: detection & analysis results */
hand: Array<Hand>,
/** {@link Gesture}: detection & analysis results */
gesture: Array<Gesture>,
/** {@link Object}: detection & analysis results */
object: Array<Item>
performance: { any },
canvas: OffscreenCanvas | HTMLCanvasElement,
}

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@ -74,8 +74,12 @@
<section class="tsd-index-section ">
<h3>Interfaces</h3>
<ul class="tsd-index-list">
<li class="tsd-kind-interface"><a href="interfaces/body.html" class="tsd-kind-icon">Body</a></li>
<li class="tsd-kind-interface"><a href="interfaces/config.html" class="tsd-kind-icon">Config</a></li>
<li class="tsd-kind-interface"><a href="interfaces/drawoptions.html" class="tsd-kind-icon">Draw<wbr>Options</a></li>
<li class="tsd-kind-interface"><a href="interfaces/face.html" class="tsd-kind-icon">Face</a></li>
<li class="tsd-kind-interface"><a href="interfaces/hand.html" class="tsd-kind-icon">Hand</a></li>
<li class="tsd-kind-interface"><a href="interfaces/object.html" class="tsd-kind-icon">Object</a></li>
<li class="tsd-kind-interface"><a href="interfaces/result.html" class="tsd-kind-icon">Result</a></li>
</ul>
</section>
@ -83,6 +87,7 @@
<h3>Type aliases</h3>
<ul class="tsd-index-list">
<li class="tsd-kind-type-alias"><a href="index.html#error" class="tsd-kind-icon">Error</a></li>
<li class="tsd-kind-type-alias"><a href="index.html#gesture" class="tsd-kind-icon">Gesture</a></li>
<li class="tsd-kind-type-alias"><a href="index.html#input" class="tsd-kind-icon">Input</a></li>
<li class="tsd-kind-type-alias"><a href="index.html#tensor" class="tsd-kind-icon">Tensor</a></li>
<li class="tsd-kind-type-alias"><a href="index.html#tensorflow" class="tsd-kind-icon">Tensor<wbr>Flow</a></li>
@ -121,6 +126,24 @@
</ul>
</div>
</section>
<section class="tsd-panel tsd-member tsd-kind-type-alias">
<a name="gesture" class="tsd-anchor"></a>
<h3>Gesture</h3>
<div class="tsd-signature tsd-kind-icon">Gesture<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>face<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>gesture<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><span class="tsd-signature-symbol">{ </span>gesture<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>iris<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>body<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>gesture<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><span class="tsd-signature-symbol">{ </span>gesture<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>hand<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> }</span></div>
<aside class="tsd-sources">
</aside>
<div class="tsd-comment tsd-typography">
<div class="lead">
<p>Gesture results</p>
</div>
<p>Array of individual results with one object per detected gesture
Each result has:</p>
<ul>
<li>part: part name and number where gesture was detected: face, iris, body, hand</li>
<li>gesture: gesture detected</li>
</ul>
</div>
</section>
<section class="tsd-panel tsd-member tsd-kind-type-alias">
<a name="input" class="tsd-anchor"></a>
<h3>Input</h3>
@ -175,18 +198,33 @@
<li class=" tsd-kind-class">
<a href="classes/human.html" class="tsd-kind-icon">Human</a>
</li>
<li class=" tsd-kind-interface">
<a href="interfaces/body.html" class="tsd-kind-icon">Body</a>
</li>
<li class=" tsd-kind-interface">
<a href="interfaces/config.html" class="tsd-kind-icon">Config</a>
</li>
<li class=" tsd-kind-interface">
<a href="interfaces/drawoptions.html" class="tsd-kind-icon">Draw<wbr>Options</a>
</li>
<li class=" tsd-kind-interface">
<a href="interfaces/face.html" class="tsd-kind-icon">Face</a>
</li>
<li class=" tsd-kind-interface">
<a href="interfaces/hand.html" class="tsd-kind-icon">Hand</a>
</li>
<li class=" tsd-kind-interface">
<a href="interfaces/object.html" class="tsd-kind-icon">Object</a>
</li>
<li class=" tsd-kind-interface">
<a href="interfaces/result.html" class="tsd-kind-icon">Result</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="index.html#error" class="tsd-kind-icon">Error</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="index.html#gesture" class="tsd-kind-icon">Gesture</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="index.html#input" class="tsd-kind-icon">Input</a>
</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>Body | @vladmandic/human</title>
<meta name="description" content="Documentation for @vladmandic/human">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="../assets/css/main.css">
<script async src="../assets/js/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-index="../assets/js/search.json" data-base="..">
<div class="field">
<label for="tsd-search-field" class="tsd-widget search no-caption">Search</label>
<input id="tsd-search-field" type="text" />
</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</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</a>
</li>
<li>
<a href="body.html">Body</a>
</li>
</ul>
<h1>Interface Body</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>Body results</p>
</div>
<p>Array of individual results with one object per detected body
Each results has:</p>
<ul>
<li>body id number</li>
<li>score: overall detection score</li>
<li>box bounding box: x, y, width, height</li>
<li>keypoints: array of keypoints</li>
<li>part: body part name</li>
<li>position: body part position with x,y,z coordinates</li>
<li>score: body part score value</li>
<li>presence: body part presence value</li>
</ul>
</div>
</section>
<section class="tsd-panel tsd-hierarchy">
<h3>Hierarchy</h3>
<ul class="tsd-hierarchy">
<li>
<span class="target">Body</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="body.html#box" class="tsd-kind-icon">box</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="body.html#id" class="tsd-kind-icon">id</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="body.html#keypoints" class="tsd-kind-icon">keypoints</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="body.html#score" class="tsd-kind-icon">score</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="box" class="tsd-anchor"></a>
<h3>box</h3>
<div class="tsd-signature tsd-kind-icon">box<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">[</span>x<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span>y<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span>width<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span>height<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">]</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="id" class="tsd-anchor"></a>
<h3>id</h3>
<div class="tsd-signature tsd-kind-icon">id<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="keypoints" class="tsd-anchor"></a>
<h3>keypoints</h3>
<div class="tsd-signature tsd-kind-icon">keypoints<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>part<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>position<span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">{ </span>x<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>y<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>z<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>presence<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>score<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">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="score" class="tsd-anchor"></a>
<h3>score</h3>
<div class="tsd-signature tsd-kind-icon">score<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
</aside>
</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 class="before-current">
<li class=" tsd-kind-reference">
<a href="../index.html#default" class="tsd-kind-icon">default</a>
</li>
<li class=" tsd-kind-class">
<a href="../classes/human.html" class="tsd-kind-icon">Human</a>
</li>
</ul>
<ul class="current">
<li class="current tsd-kind-interface">
<a href="body.html" class="tsd-kind-icon">Body</a>
<ul>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="body.html#box" class="tsd-kind-icon">box</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="body.html#id" class="tsd-kind-icon">id</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="body.html#keypoints" class="tsd-kind-icon">keypoints</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="body.html#score" class="tsd-kind-icon">score</a>
</li>
</ul>
</li>
</ul>
<ul class="after-current">
<li class=" tsd-kind-interface">
<a href="config.html" class="tsd-kind-icon">Config</a>
</li>
<li class=" tsd-kind-interface">
<a href="drawoptions.html" class="tsd-kind-icon">Draw<wbr>Options</a>
</li>
<li class=" tsd-kind-interface">
<a href="face.html" class="tsd-kind-icon">Face</a>
</li>
<li class=" tsd-kind-interface">
<a href="hand.html" class="tsd-kind-icon">Hand</a>
</li>
<li class=" tsd-kind-interface">
<a href="object.html" class="tsd-kind-icon">Object</a>
</li>
<li class=" tsd-kind-interface">
<a href="result.html" class="tsd-kind-icon">Result</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="../index.html#error" class="tsd-kind-icon">Error</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="../index.html#gesture" class="tsd-kind-icon">Gesture</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="../index.html#input" class="tsd-kind-icon">Input</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="../index.html#tensor" class="tsd-kind-icon">Tensor</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="../index.html#tensorflow" class="tsd-kind-icon">Tensor<wbr>Flow</a>
</li>
</ul>
</nav>
</div>
</div>
</div>
<footer>
<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>
</div>
</footer>
<div class="overlay"></div>
<script src="../assets/js/main.js"></script>
</body>
</html>

15
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@ -661,6 +661,9 @@
<li class=" tsd-kind-class">
<a href="../classes/human.html" class="tsd-kind-icon">Human</a>
</li>
<li class=" tsd-kind-interface">
<a href="body.html" class="tsd-kind-icon">Body</a>
</li>
</ul>
<ul class="current">
<li class="current tsd-kind-interface">
@ -712,12 +715,24 @@
<li class=" tsd-kind-interface">
<a href="drawoptions.html" class="tsd-kind-icon">Draw<wbr>Options</a>
</li>
<li class=" tsd-kind-interface">
<a href="face.html" class="tsd-kind-icon">Face</a>
</li>
<li class=" tsd-kind-interface">
<a href="hand.html" class="tsd-kind-icon">Hand</a>
</li>
<li class=" tsd-kind-interface">
<a href="object.html" class="tsd-kind-icon">Object</a>
</li>
<li class=" tsd-kind-interface">
<a href="result.html" class="tsd-kind-icon">Result</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="../index.html#error" class="tsd-kind-icon">Error</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="../index.html#gesture" class="tsd-kind-icon">Gesture</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="../index.html#input" class="tsd-kind-icon">Input</a>
</li>

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@ -272,6 +272,9 @@
<li class=" tsd-kind-class">
<a href="../classes/human.html" class="tsd-kind-icon">Human</a>
</li>
<li class=" tsd-kind-interface">
<a href="body.html" class="tsd-kind-icon">Body</a>
</li>
<li class=" tsd-kind-interface">
<a href="config.html" class="tsd-kind-icon">Config</a>
</li>
@ -338,12 +341,24 @@
</li>
</ul>
<ul class="after-current">
<li class=" tsd-kind-interface">
<a href="face.html" class="tsd-kind-icon">Face</a>
</li>
<li class=" tsd-kind-interface">
<a href="hand.html" class="tsd-kind-icon">Hand</a>
</li>
<li class=" tsd-kind-interface">
<a href="object.html" class="tsd-kind-icon">Object</a>
</li>
<li class=" tsd-kind-interface">
<a href="result.html" class="tsd-kind-icon">Result</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="../index.html#error" class="tsd-kind-icon">Error</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="../index.html#gesture" class="tsd-kind-icon">Gesture</a>
</li>
<li class=" tsd-kind-type-alias">
<a href="../index.html#input" class="tsd-kind-icon">Input</a>
</li>

397
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@ -0,0 +1,397 @@
<!doctype html>
<html class="default no-js">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>Face | @vladmandic/human</title>
<meta name="description" content="Documentation for @vladmandic/human">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="../assets/css/main.css">
<script async src="../assets/js/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-index="../assets/js/search.json" data-base="..">
<div class="field">
<label for="tsd-search-field" class="tsd-widget search no-caption">Search</label>
<input id="tsd-search-field" type="text" />
</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</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</a>
</li>
<li>
<a href="face.html">Face</a>
</li>
</ul>
<h1>Interface Face</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>Face results
Combined results of face detector, face mesh, age, gender, emotion, embedding, iris models
Some values may be null if specific model is not enabled</p>
</div>
<p>Array of individual results with one object per detected face
Each result has:</p>
<ul>
<li>overal detection confidence value</li>
<li>box detection confidence value</li>
<li>mesh detection confidence value</li>
<li>box as array of [x, y, width, height], normalized to image resolution</li>
<li>boxRaw as array of [x, y, width, height], normalized to range 0..1</li>
<li>mesh as array of [x, y, z] points of face mesh, normalized to image resolution</li>
<li>meshRaw as array of [x, y, z] points of face mesh, normalized to range 0..1</li>
<li>annotations as array of annotated face mesh points</li>
<li>age as value</li>
<li>gender as value</li>
<li>genderConfidence as value</li>
<li>emotion as array of possible emotions with their individual scores</li>
<li>iris as distance value</li>
<li>angle as object with values for roll, yaw and pitch angles</li>
<li>tensor as Tensor object which contains detected face</li>
</ul>
</div>
</section>
<section class="tsd-panel tsd-hierarchy">
<h3>Hierarchy</h3>
<ul class="tsd-hierarchy">
<li>
<span class="target">Face</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="face.html#age" class="tsd-kind-icon">age</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#annotations" class="tsd-kind-icon">annotations</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#box" class="tsd-kind-icon">box</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#boxconfidence" class="tsd-kind-icon">box<wbr>Confidence</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#boxraw" class="tsd-kind-icon">box<wbr>Raw</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#confidence" class="tsd-kind-icon">confidence</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#embedding" class="tsd-kind-icon">embedding</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#emotion" class="tsd-kind-icon">emotion</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#faceconfidence" class="tsd-kind-icon">face<wbr>Confidence</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#gender" class="tsd-kind-icon">gender</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#genderconfidence" class="tsd-kind-icon">gender<wbr>Confidence</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#iris" class="tsd-kind-icon">iris</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#mesh" class="tsd-kind-icon">mesh</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#meshraw" class="tsd-kind-icon">mesh<wbr>Raw</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#rotation" class="tsd-kind-icon">rotation</a></li>
<li class="tsd-kind-property tsd-parent-kind-interface"><a href="face.html#tensor" class="tsd-kind-icon">tensor</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="age" class="tsd-anchor"></a>
<h3>age</h3>
<div class="tsd-signature tsd-kind-icon">age<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="annotations" class="tsd-anchor"></a>
<h3>annotations</h3>
<div class="tsd-signature tsd-kind-icon">annotations<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>part<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>points<span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">[</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><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><span class="tsd-signature-symbol">[]</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="box" class="tsd-anchor"></a>
<h3>box</h3>
<div class="tsd-signature tsd-kind-icon">box<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">[</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">]</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="boxconfidence" class="tsd-anchor"></a>
<h3>box<wbr>Confidence</h3>
<div class="tsd-signature tsd-kind-icon">box<wbr>Confidence<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="boxraw" class="tsd-anchor"></a>
<h3>box<wbr>Raw</h3>
<div class="tsd-signature tsd-kind-icon">box<wbr>Raw<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">[</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">]</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="confidence" class="tsd-anchor"></a>
<h3>confidence</h3>
<div class="tsd-signature tsd-kind-icon">confidence<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="embedding" class="tsd-anchor"></a>
<h3>embedding</h3>
<div class="tsd-signature tsd-kind-icon">embedding<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">[]</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="emotion" class="tsd-anchor"></a>
<h3>emotion</h3>
<div class="tsd-signature tsd-kind-icon">emotion<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>emotion<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">string</span><span class="tsd-signature-symbol">; </span>score<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">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="faceconfidence" class="tsd-anchor"></a>
<h3>face<wbr>Confidence</h3>
<div class="tsd-signature tsd-kind-icon">face<wbr>Confidence<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="gender" class="tsd-anchor"></a>
<h3>gender</h3>
<div class="tsd-signature tsd-kind-icon">gender<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="genderconfidence" class="tsd-anchor"></a>
<h3>gender<wbr>Confidence</h3>
<div class="tsd-signature tsd-kind-icon">gender<wbr>Confidence<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="iris" class="tsd-anchor"></a>
<h3>iris</h3>
<div class="tsd-signature tsd-kind-icon">iris<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="mesh" class="tsd-anchor"></a>
<h3>mesh</h3>
<div class="tsd-signature tsd-kind-icon">mesh<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">[</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><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">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="meshraw" class="tsd-anchor"></a>
<h3>mesh<wbr>Raw</h3>
<div class="tsd-signature tsd-kind-icon">mesh<wbr>Raw<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">[</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><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">
</aside>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="rotation" class="tsd-anchor"></a>
<h3>rotation</h3>
<div class="tsd-signature tsd-kind-icon">rotation<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-symbol">{ </span>angle<span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">{ </span>pitch<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>roll<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>yaw<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>matrix<span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">[</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><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></div>
<aside class="tsd-sources">
</aside>
<div class="tsd-type-declaration">
<h4>Type declaration</h4>
<ul class="tsd-parameters">
<li class="tsd-parameter">
<h5>angle<span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">{ </span>pitch<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>roll<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">; </span>yaw<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol"> }</span></h5>
<ul class="tsd-parameters">
<li class="tsd-parameter">
<h5>pitch<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5>
</li>
<li class="tsd-parameter">
<h5>roll<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5>
</li>
<li class="tsd-parameter">
<h5>yaw<span class="tsd-signature-symbol">: </span><span class="tsd-signature-type">number</span></h5>
</li>
</ul>
</li>
<li class="tsd-parameter">
<h5>matrix<span class="tsd-signature-symbol">: </span><span class="tsd-signature-symbol">[</span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><span class="tsd-signature-symbol">, </span><span class="tsd-signature-type">number</span><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>
</li>
</ul>
</div>
</section>
<section class="tsd-panel tsd-member tsd-kind-property tsd-parent-kind-interface">
<a name="tensor" class="tsd-anchor"></a>
<h3>tensor</h3>
<div class="tsd-signature tsd-kind-icon">tensor<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">any</span></div>
<aside class="tsd-sources">
</aside>
</section>
</section>
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<a href="../index.html#default" class="tsd-kind-icon">default</a>
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<a href="../classes/human.html" class="tsd-kind-icon">Human</a>
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<ul>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="face.html#age" class="tsd-kind-icon">age</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="face.html#annotations" class="tsd-kind-icon">annotations</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="face.html#box" class="tsd-kind-icon">box</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="face.html#boxconfidence" class="tsd-kind-icon">box<wbr>Confidence</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="face.html#boxraw" class="tsd-kind-icon">box<wbr>Raw</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="face.html#confidence" class="tsd-kind-icon">confidence</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="face.html#embedding" class="tsd-kind-icon">embedding</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="face.html#emotion" class="tsd-kind-icon">emotion</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="face.html#faceconfidence" class="tsd-kind-icon">face<wbr>Confidence</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="face.html#gender" class="tsd-kind-icon">gender</a>
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<a href="face.html#genderconfidence" class="tsd-kind-icon">gender<wbr>Confidence</a>
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<a href="face.html#iris" class="tsd-kind-icon">iris</a>
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<a href="face.html#mesh" class="tsd-kind-icon">mesh</a>
</li>
<li class=" tsd-kind-property tsd-parent-kind-interface">
<a href="face.html#meshraw" class="tsd-kind-icon">mesh<wbr>Raw</a>
</li>
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<a href="face.html#rotation" class="tsd-kind-icon">rotation</a>
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<a href="face.html#tensor" class="tsd-kind-icon">tensor</a>
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<a href="result.html" class="tsd-kind-icon">Result</a>
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</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>Hand | @vladmandic/human</title>
<meta name="description" content="Documentation for @vladmandic/human">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="../assets/css/main.css">
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<a href="hand.html">Hand</a>
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<h1>Interface Hand</h1>
</div>
</div>
</header>
<div class="container container-main">
<div class="row">
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<section class="tsd-panel tsd-comment">
<div class="tsd-comment tsd-typography">
<div class="lead">
<p>Hand results</p>
</div>
<p>Array of individual results with one object per detected hand
Each result has:</p>
<ul>
<li>confidence as value</li>
<li>box as array of [x, y, width, height], normalized to image resolution</li>
<li>boxRaw as array of [x, y, width, height], normalized to range 0..1</li>
<li>landmarks as array of [x, y, z] points of hand, normalized to image resolution</li>
<li>annotations as array of annotated face landmark points</li>
</ul>
</div>
</section>
<section class="tsd-panel tsd-hierarchy">
<h3>Hierarchy</h3>
<ul class="tsd-hierarchy">
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@ -0,0 +1,276 @@
<!doctype html>
<html class="default no-js">
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<title>Object | @vladmandic/human</title>
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<h1>Interface Object</h1>
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<p>Object results</p>
</div>
<p>Array of individual results with one object per detected gesture
Each result has:</p>
<ul>
<li>score as value</li>
<li>label as detected class name</li>
<li>center as array of [x, y], normalized to image resolution</li>
<li>centerRaw as array of [x, y], normalized to range 0..1</li>
<li>box as array of [x, y, width, height], normalized to image resolution</li>
<li>boxRaw as array of [x, y, width, height], normalized to range 0..1</li>
</ul>
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</section>
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<h3>Hierarchy</h3>
<ul class="tsd-hierarchy">
<li>
<span class="target">Object</span>
</li>
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<h2>Properties</h2>
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<a name="box" class="tsd-anchor"></a>
<h3>box</h3>
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<h3>center<wbr>Raw</h3>
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<a name="class" class="tsd-anchor"></a>
<h3>class</h3>
<div class="tsd-signature tsd-kind-icon">class<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
<aside class="tsd-sources">
</aside>
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<a name="label" class="tsd-anchor"></a>
<h3>label</h3>
<div class="tsd-signature tsd-kind-icon">label<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">string</span></div>
<aside class="tsd-sources">
</aside>
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<a name="score" class="tsd-anchor"></a>
<h3>score</h3>
<div class="tsd-signature tsd-kind-icon">score<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">number</span></div>
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</aside>
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<a name="stridesize" class="tsd-anchor"></a>
<h3>stride<wbr>Size</h3>
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<a href="../index.html#gesture" class="tsd-kind-icon">Gesture</a>
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<a href="../index.html#tensor" class="tsd-kind-icon">Tensor</a>
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98
typedoc/interfaces/result.html
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13
types/draw/draw.d.ts vendored
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@ -1,3 +1,4 @@
import type { Result, Face, Body, Hand, Object, Gesture } from '../result';
/**
* Draw Options
* Accessed via `human.draw.options` or provided per each draw method as the drawOptions optional parameter
@ -40,10 +41,10 @@ export interface DrawOptions {
calculateHandBox: Boolean;
}
export declare const options: DrawOptions;
export declare function gesture(inCanvas: HTMLCanvasElement, result: Array<any>, drawOptions?: DrawOptions): Promise<void>;
export declare function face(inCanvas: HTMLCanvasElement, result: Array<any>, drawOptions?: DrawOptions): Promise<void>;
export declare function body(inCanvas: HTMLCanvasElement, result: Array<any>, drawOptions?: DrawOptions): Promise<void>;
export declare function hand(inCanvas: HTMLCanvasElement, result: Array<any>, drawOptions?: DrawOptions): Promise<void>;
export declare function object(inCanvas: HTMLCanvasElement, result: Array<any>, drawOptions?: DrawOptions): Promise<void>;
export declare function gesture(inCanvas: HTMLCanvasElement, result: Array<Gesture>, drawOptions?: DrawOptions): Promise<void>;
export declare function face(inCanvas: HTMLCanvasElement, result: Array<Face>, drawOptions?: DrawOptions): Promise<void>;
export declare function body(inCanvas: HTMLCanvasElement, result: Array<Body>, drawOptions?: DrawOptions): Promise<void>;
export declare function hand(inCanvas: HTMLCanvasElement, result: Array<Hand>, drawOptions?: DrawOptions): Promise<void>;
export declare function object(inCanvas: HTMLCanvasElement, result: Array<Object>, drawOptions?: DrawOptions): Promise<void>;
export declare function canvas(inCanvas: HTMLCanvasElement, outCanvas: HTMLCanvasElement): Promise<void>;
export declare function all(inCanvas: HTMLCanvasElement, result: any, drawOptions?: DrawOptions): Promise<void>;
export declare function all(inCanvas: HTMLCanvasElement, result: Result, drawOptions?: DrawOptions): Promise<void>;

2
types/human.d.ts vendored
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@ -13,7 +13,7 @@ import * as draw from './draw/draw';
/** Generic Tensor object type */
export declare type Tensor = typeof tf.Tensor;
export type { Config } from './config';
export type { Result } from './result';
export type { Result, Face, Hand, Body, Object, Gesture } from './result';
export type { DrawOptions } from './draw/draw';
/** Defines all possible input types for **Human** detection */
export declare type Input = Tensor | typeof Image | ImageData | ImageBitmap | HTMLImageElement | HTMLMediaElement | HTMLVideoElement | HTMLCanvasElement | OffscreenCanvas;

267
types/result.d.ts vendored
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@ -3,72 +3,77 @@
*
* Contains all possible detection results
*/
export interface Result {
/** Face results
* Combined results of face detector, face mesh, age, gender, emotion, embedding, iris models
* Some values may be null if specific model is not enabled
*
* Array of individual results with one object per detected face
* Each result has:
* - overal detection confidence value
* - box detection confidence value
* - mesh detection confidence value
* - box as array of [x, y, width, height], normalized to image resolution
* - boxRaw as array of [x, y, width, height], normalized to range 0..1
* - mesh as array of [x, y, z] points of face mesh, normalized to image resolution
* - meshRaw as array of [x, y, z] points of face mesh, normalized to range 0..1
* - annotations as array of annotated face mesh points
* - age as value
* - gender as value
* - genderConfidence as value
* - emotion as array of possible emotions with their individual scores
* - iris as distance value
* - angle as object with values for roll, yaw and pitch angles
* - tensor as Tensor object which contains detected face
*/
face: Array<{
confidence: number;
boxConfidence: number;
faceConfidence: number;
box: [number, number, number, number];
boxRaw: [number, number, number, number];
mesh: Array<[number, number, number]>;
meshRaw: Array<[number, number, number]>;
annotations: Array<{
part: string;
points: Array<[number, number, number]>[];
}>;
age: number;
gender: string;
genderConfidence: number;
emotion: Array<{
score: number;
emotion: string;
}>;
embedding: Array<number>;
iris: number;
rotation: {
angle: {
roll: number;
yaw: number;
pitch: number;
};
matrix: Array<[number, number, number, number, number, number, number, number, number]>;
};
tensor: any;
/** Face results
* Combined results of face detector, face mesh, age, gender, emotion, embedding, iris models
* Some values may be null if specific model is not enabled
*
* Array of individual results with one object per detected face
* Each result has:
* - overal detection confidence value
* - box detection confidence value
* - mesh detection confidence value
* - box as array of [x, y, width, height], normalized to image resolution
* - boxRaw as array of [x, y, width, height], normalized to range 0..1
* - mesh as array of [x, y, z] points of face mesh, normalized to image resolution
* - meshRaw as array of [x, y, z] points of face mesh, normalized to range 0..1
* - annotations as array of annotated face mesh points
* - age as value
* - gender as value
* - genderConfidence as value
* - emotion as array of possible emotions with their individual scores
* - iris as distance value
* - angle as object with values for roll, yaw and pitch angles
* - tensor as Tensor object which contains detected face
*/
export interface Face {
confidence: number;
boxConfidence: number;
faceConfidence: number;
box: [number, number, number, number];
boxRaw: [number, number, number, number];
mesh: Array<[number, number, number]>;
meshRaw: Array<[number, number, number]>;
annotations: Array<{
part: string;
points: Array<[number, number, number]>[];
}>;
/** Body results
*
* Array of individual results with one object per detected body
* Each results has:
* - body id number
* - body part name
* - part position with x,y,z coordinates
* - body part score value
* - body part presence value
*/
body: Array<{
id: number;
age: number;
gender: string;
genderConfidence: number;
emotion: Array<{
score: number;
emotion: string;
}>;
embedding: Array<number>;
iris: number;
rotation: {
angle: {
roll: number;
yaw: number;
pitch: number;
};
matrix: Array<[number, number, number, number, number, number, number, number, number]>;
};
tensor: any;
}
/** Body results
*
* Array of individual results with one object per detected body
* Each results has:
* - body id number
* - score: overall detection score
* - box bounding box: x, y, width, height
* - keypoints: array of keypoints
* - part: body part name
* - position: body part position with x,y,z coordinates
* - score: body part score value
* - presence: body part presence value
*/
export interface Body {
id: number;
box: [x: number, y: number, width: number, height: number];
score: number;
keypoints: Array<{
part: string;
position: {
x: number;
@ -78,67 +83,79 @@ export interface Result {
score: number;
presence: number;
}>;
/** Hand results
*
* Array of individual results with one object per detected hand
* Each result has:
* - confidence as value
* - box as array of [x, y, width, height], normalized to image resolution
* - boxRaw as array of [x, y, width, height], normalized to range 0..1
* - landmarks as array of [x, y, z] points of hand, normalized to image resolution
* - annotations as array of annotated face landmark points
*/
hand: Array<{
confidence: number;
box: [number, number, number, number];
boxRaw: [number, number, number, number];
landmarks: Array<[number, number, number]>;
annotations: Array<{
part: string;
points: Array<[number, number, number]>[];
}>;
}>;
/** Gesture results
*
* Array of individual results with one object per detected gesture
* Each result has:
* - part: part name and number where gesture was detected: face, iris, body, hand
* - gesture: gesture detected
*/
gesture: Array<{
'face': number;
gesture: string;
} | {
'iris': number;
gesture: string;
} | {
'body': number;
gesture: string;
} | {
'hand': number;
gesture: string;
}>;
/** Object results
*
* Array of individual results with one object per detected gesture
* Each result has:
* - score as value
* - label as detected class name
* - center as array of [x, y], normalized to image resolution
* - centerRaw as array of [x, y], normalized to range 0..1
* - box as array of [x, y, width, height], normalized to image resolution
* - boxRaw as array of [x, y, width, height], normalized to range 0..1
*/
object: Array<{
score: number;
strideSize: number;
class: number;
label: string;
center: number[];
centerRaw: number[];
box: number[];
boxRaw: number[];
}
/** Hand results
*
* Array of individual results with one object per detected hand
* Each result has:
* - confidence as value
* - box as array of [x, y, width, height], normalized to image resolution
* - boxRaw as array of [x, y, width, height], normalized to range 0..1
* - landmarks as array of [x, y, z] points of hand, normalized to image resolution
* - annotations as array of annotated face landmark points
*/
export interface Hand {
confidence: number;
box: [number, number, number, number];
boxRaw: [number, number, number, number];
landmarks: Array<[number, number, number]>;
annotations: Array<{
part: string;
points: Array<[number, number, number]>[];
}>;
}
/** Object results
*
* Array of individual results with one object per detected gesture
* Each result has:
* - score as value
* - label as detected class name
* - center as array of [x, y], normalized to image resolution
* - centerRaw as array of [x, y], normalized to range 0..1
* - box as array of [x, y, width, height], normalized to image resolution
* - boxRaw as array of [x, y, width, height], normalized to range 0..1
*/
export interface Object {
score: number;
strideSize: number;
class: number;
label: string;
center: number[];
centerRaw: number[];
box: number[];
boxRaw: number[];
}
/** Gesture results
*
* Array of individual results with one object per detected gesture
* Each result has:
* - part: part name and number where gesture was detected: face, iris, body, hand
* - gesture: gesture detected
*/
export declare type Gesture = {
'face': number;
gesture: string;
} | {
'iris': number;
gesture: string;
} | {
'body': number;
gesture: string;
} | {
'hand': number;
gesture: string;
};
export interface Result {
/** {@link Face}: detection & analysis results */
face: Array<Face>;
/** {@link Body}: detection & analysis results */
body: Array<Body>;
/** {@link Hand}: detection & analysis results */
hand: Array<Hand>;
/** {@link Gesture}: detection & analysis results */
gesture: Array<Gesture>;
/** {@link Object}: detection & analysis results */
object: Array<Object>;
performance: {
any: any;
};