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refactoring

pull/46/head
Vladimir Mandic 2021-03-19 21:39:45 -04:00
parent 09698a891b
commit 9ccaf781ab
35 changed files with 137 additions and 148 deletions
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1
CHANGELOG.md
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@ -11,6 +11,7 @@ Repository: **<git+https://github.com/vladmandic/face-api.git>**
### **HEAD -> master** 2021/03/19 mandic00@live.com
- refactoring
### **1.1.4** 2021/03/18 mandic00@live.com

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dist/face-api.node.js vendored
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4
src/ageGenderNet/AgeGenderNet.ts
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@ -64,8 +64,8 @@ export class AgeGenderNet extends NeuralNetwork<NetParams> {
const predictionsByBatch = await Promise.all(
ageAndGenderTensors.map(async ({ ageTensor, genderTensor }) => {
const age = (await ageTensor.data())[0];
const probMale = (await genderTensor.data())[0];
const age = (ageTensor.dataSync())[0];
const probMale = (genderTensor.dataSync())[0];
const isMale = probMale > 0.5;
const gender = isMale ? Gender.MALE : Gender.FEMALE;
const genderProbability = isMale ? probMale : (1 - probMale);

12
src/dom/extractFaceTensors.ts
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@ -14,10 +14,7 @@ import { isTensor3D, isTensor4D } from '../utils/index';
* @param detections The face detection results or face bounding boxes for that image.
* @returns Tensors of the corresponding image region for each detected face.
*/
export async function extractFaceTensors(
imageTensor: tf.Tensor3D | tf.Tensor4D,
detections: Array<FaceDetection | Rect>,
): Promise<tf.Tensor3D[]> {
export async function extractFaceTensors(imageTensor: tf.Tensor3D | tf.Tensor4D, detections: Array<FaceDetection | Rect>): Promise<tf.Tensor3D[]> {
if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {
throw new Error('extractFaceTensors - expected image tensor to be 3D or 4D');
}
@ -29,11 +26,10 @@ export async function extractFaceTensors(
return tf.tidy(() => {
const [imgHeight, imgWidth, numChannels] = imageTensor.shape.slice(isTensor4D(imageTensor) ? 1 : 0);
const boxes = detections.map(
(det) => (det instanceof FaceDetection
const boxes = detections
.map((det) => (det instanceof FaceDetection
? det.forSize(imgWidth, imgHeight).box
: det),
)
: det))
.map((box) => box.clipAtImageBorders(imgWidth, imgHeight));
const faceTensors = boxes.map(({

2
src/faceExpressionNet/FaceExpressionNet.ts
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@ -23,7 +23,7 @@ export class FaceExpressionNet extends FaceProcessor<FaceFeatureExtractorParams>
const netInput = await toNetInput(input);
const out = await this.forwardInput(netInput);
const probabilitesByBatch = await Promise.all(tf.unstack(out).map(async (t) => {
const data = await t.data();
const data = t.dataSync();
t.dispose();
return data;
}));

2
src/faceFeatureExtractor/FaceFeatureExtractor.ts
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@ -23,7 +23,7 @@ export class FaceFeatureExtractor extends NeuralNetwork<FaceFeatureExtractorPara
return tf.tidy(() => {
const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');
const meanRgb = [122.782, 117.001, 104.298];
const normalized = normalize(batchTensor, meanRgb).div(tf.scalar(255)) as tf.Tensor4D;
const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;
let out = denseBlock4(normalized, params.dense0, true);
out = denseBlock4(out, params.dense1);

2
src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts
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@ -23,7 +23,7 @@ export class TinyFaceFeatureExtractor extends NeuralNetwork<TinyFaceFeatureExtra
return tf.tidy(() => {
const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');
const meanRgb = [122.782, 117.001, 104.298];
const normalized = normalize(batchTensor, meanRgb).div(tf.scalar(255)) as tf.Tensor4D;
const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;
let out = denseBlock3(normalized, params.dense0, true);
out = denseBlock3(out, params.dense1);

2
src/faceLandmarkNet/FaceLandmark68NetBase.ts
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@ -72,7 +72,7 @@ export abstract class FaceLandmark68NetBase<
const landmarksForBatch = await Promise.all(landmarkTensors.map(
async (landmarkTensor, batchIdx) => {
const landmarksArray = Array.from(await landmarkTensor.data());
const landmarksArray = Array.from(landmarkTensor.dataSync());
const xCoords = landmarksArray.filter((_, i) => isEven(i));
const yCoords = landmarksArray.filter((_, i) => !isEven(i));

6
src/faceRecognitionNet/FaceRecognitionNet.ts
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@ -25,7 +25,7 @@ export class FaceRecognitionNet extends NeuralNetwork<NetParams> {
const batchTensor = tf.cast(input.toBatchTensor(150, true), 'float32');
const meanRgb = [122.782, 117.001, 104.298];
const normalized = normalize(batchTensor, meanRgb).div(tf.scalar(256)) as tf.Tensor4D;
const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;
let out = convDown(normalized, params.conv32_down);
out = tf.maxPool(out, 3, 2, 'valid');
@ -62,9 +62,7 @@ export class FaceRecognitionNet extends NeuralNetwork<NetParams> {
public async computeFaceDescriptor(input: TNetInput): Promise<Float32Array|Float32Array[]> {
if (input?.shape?.some((dim) => dim <= 0)) return new Float32Array(128);
const netInput = await toNetInput(input);
const faceDescriptorTensors = tf.tidy(
() => tf.unstack(this.forwardInput(netInput)),
);
const faceDescriptorTensors = tf.tidy(() => tf.unstack(this.forwardInput(netInput)));
const faceDescriptorsForBatch = await Promise.all(faceDescriptorTensors.map((t) => t.data())) as Float32Array[];
faceDescriptorTensors.forEach((t) => t.dispose());
return netInput.isBatchInput ? faceDescriptorsForBatch : faceDescriptorsForBatch[0];

7
src/factories/WithFaceDetection.ts
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@ -8,12 +8,7 @@ export function isWithFaceDetection(obj: any): obj is WithFaceDetection<{}> {
return obj.detection instanceof FaceDetection;
}
export function extendWithFaceDetection<
TSource
>(
sourceObj: TSource,
detection: FaceDetection,
): WithFaceDetection<TSource> {
export function extendWithFaceDetection<TSource>(sourceObj: TSource, detection: FaceDetection): WithFaceDetection<TSource> {
const extension = { detection };
return { ...sourceObj, ...extension };
}

4
src/globalApi/DetectFaceLandmarksTasks.ts
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@ -65,9 +65,7 @@ export class DetectAllFaceLandmarksTask<
}
}
export class DetectSingleFaceLandmarksTask<
TSource extends WithFaceDetection<{}>
> extends DetectFaceLandmarksTaskBase<WithFaceLandmarks<TSource> | undefined, TSource | undefined> {
export class DetectSingleFaceLandmarksTask<TSource extends WithFaceDetection<{}>> extends DetectFaceLandmarksTaskBase<WithFaceLandmarks<TSource> | undefined, TSource | undefined> {
public async run(): Promise<WithFaceLandmarks<TSource> | undefined> {
const parentResult = await this.parentTask;
if (!parentResult) {

1
src/globalApi/DetectFacesTasks.ts
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@ -26,7 +26,6 @@ export class DetectFacesTaskBase<TReturn> extends ComposableTask<TReturn> {
export class DetectAllFacesTask extends DetectFacesTaskBase<FaceDetection[]> {
public async run(): Promise<FaceDetection[]> {
const { input, options } = this;
let result;
if (options instanceof TinyFaceDetectorOptions) result = nets.tinyFaceDetector.locateFaces(input, options);
else if (options instanceof SsdMobilenetv1Options) result = nets.ssdMobilenetv1.locateFaces(input, options);

1
src/globalApi/extractFacesAndComputeResults.ts
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@ -17,6 +17,7 @@ export async function extractAllFacesAndComputeResults<TSource extends WithFaceD
const faceBoxes = parentResults.map((parentResult) => (isWithFaceLandmarks(parentResult)
? getRectForAlignment(parentResult)
: parentResult.detection));
const faces: Array<HTMLCanvasElement | tf.Tensor3D> = extractedFaces || (
input instanceof tf.Tensor
? await extractFaceTensors(input, faceBoxes)

4
src/ssdMobilenetv1/SsdMobilenetv1.ts
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@ -29,7 +29,6 @@ export class SsdMobilenetv1 extends NeuralNetwork<NetParams> {
const batchTensor = tf.cast(input.toBatchTensor(512, false), 'float32');
const x = tf.sub(tf.div(batchTensor, 127.5), 1) as tf.Tensor4D; // input is normalized -1..1
const features = mobileNetV1(x, params.mobilenetv1);
const { boxPredictions, classPredictions } = predictionLayer(features.out, features.conv11, params.prediction_layer);
return outputLayer(boxPredictions, classPredictions, params.output_layer);
@ -42,7 +41,6 @@ export class SsdMobilenetv1 extends NeuralNetwork<NetParams> {
public async locateFaces(input: TNetInput, options: ISsdMobilenetv1Options = {}): Promise<FaceDetection[]> {
const { maxResults, minConfidence } = new SsdMobilenetv1Options(options);
const netInput = await toNetInput(input);
const {
@ -57,7 +55,7 @@ export class SsdMobilenetv1 extends NeuralNetwork<NetParams> {
_scores[i].dispose();
}
const scoresData = Array.from(await scores.data());
const scoresData = Array.from(scores.dataSync());
const iouThreshold = 0.5;
const indices = nonMaxSuppression(
boxes,

4
src/ssdMobilenetv1/mobileNetV1.ts
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@ -50,9 +50,7 @@ export function mobileNetV1(x: tf.Tensor4D, params: MobileNetV1.Params) {
const depthwiseConvStrides = getStridesForLayerIdx(layerIdx);
out = depthwiseConvLayer(out, param.depthwise_conv, depthwiseConvStrides);
out = pointwiseConvLayer(out, param.pointwise_conv, [1, 1]);
if (layerIdx === 11) {
conv11 = out;
}
if (layerIdx === 11) conv11 = out;
});
if (conv11 === null) {

12
src/ssdMobilenetv1/outputLayer.ts
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@ -10,8 +10,8 @@ function getCenterCoordinatesAndSizesLayer(x: tf.Tensor2D) {
tf.sub(vec[3], vec[1]),
];
const centers = [
tf.add(vec[0], tf.div(sizes[0], tf.scalar(2))),
tf.add(vec[1], tf.div(sizes[1], tf.scalar(2))),
tf.add(vec[0], tf.div(sizes[0], 2)),
tf.add(vec[1], tf.div(sizes[1], 2)),
];
return { sizes, centers };
}
@ -20,10 +20,10 @@ function decodeBoxesLayer(x0: tf.Tensor2D, x1: tf.Tensor2D) {
const { sizes, centers } = getCenterCoordinatesAndSizesLayer(x0);
const vec = tf.unstack(tf.transpose(x1, [1, 0]));
const div0_out = tf.div(tf.mul(tf.exp(tf.div(vec[2], tf.scalar(5))), sizes[0]), tf.scalar(2));
const add0_out = tf.add(tf.mul(tf.div(vec[0], tf.scalar(10)), sizes[0]), centers[0]);
const div1_out = tf.div(tf.mul(tf.exp(tf.div(vec[3], tf.scalar(5))), sizes[1]), tf.scalar(2));
const add1_out = tf.add(tf.mul(tf.div(vec[1], tf.scalar(10)), sizes[1]), centers[1]);
const div0_out = tf.div(tf.mul(tf.exp(tf.div(vec[2], 5)), sizes[0]), 2);
const add0_out = tf.add(tf.mul(tf.div(vec[0], 10), sizes[0]), centers[0]);
const div1_out = tf.div(tf.mul(tf.exp(tf.div(vec[3], 5)), sizes[1]), 2);
const add1_out = tf.add(tf.mul(tf.div(vec[1], 10), sizes[1]), centers[1]);
return tf.transpose(
tf.stack([

15
src/ssdMobilenetv1/pointwiseConvLayer.ts
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@ -2,13 +2,18 @@ import * as tf from '../../dist/tfjs.esm';
import { PointwiseConvParams } from './types';
export function pointwiseConvLayer(
x: tf.Tensor4D,
params: PointwiseConvParams,
strides: [number, number],
) {
export function pointwiseConvLayer(x: tf.Tensor4D, params: PointwiseConvParams, strides: [number, number]) {
return tf.tidy(() => {
let out = tf.conv2d(x, params.filters, strides, 'same');
/*
if (x.shape[1] === 512 && x.shape[3] === 3) {
console.log('Input:', x.shape, x.size); // input does not change (checked values)
console.log('Filter:', params.filters.shape, params.filters.size); // params do not change (checked values)
console.log('Strides', strides);
console.log('Conv2d Output:', out.shape, out.size, out.dataSync()[0]); // output has different values!
console.log('Sum of all Conv2D values:', tf.reshape(out, [2097152]).sum().dataSync()[0]); // silly sum just to see how much results diverged
}
*/
out = tf.add(out, params.batch_norm_offset);
return tf.clipByValue(out, 0, 6);
});

2
src/tinyYolov2/TinyYolov2Base.ts
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@ -94,7 +94,7 @@ export class TinyYolov2Base extends NeuralNetwork<TinyYolov2NetParams> {
batchTensor = this.config.meanRgb
? normalize(batchTensor, this.config.meanRgb)
: batchTensor;
batchTensor = batchTensor.div(tf.scalar(256)) as tf.Tensor4D;
batchTensor = batchTensor.div(255) as tf.Tensor4D;
return this.config.withSeparableConvs
? this.runMobilenet(batchTensor, params as MobilenetParams)
: this.runTinyYolov2(batchTensor, params as DefaultTinyYolov2NetParams);

2
src/xception/TinyXception.ts
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@ -46,7 +46,7 @@ export class TinyXception extends NeuralNetwork<TinyXceptionParams> {
return tf.tidy(() => {
const batchTensor = tf.cast(input.toBatchTensor(112, true), 'float32');
const meanRgb = [122.782, 117.001, 104.298];
const normalized = normalize(batchTensor, meanRgb).div(tf.scalar(256)) as tf.Tensor4D;
const normalized = normalize(batchTensor, meanRgb).div(255) as tf.Tensor4D;
let out = tf.relu(conv(normalized, params.entry_flow.conv_in, [2, 2]));
out = reductionBlock(out, params.entry_flow.reduction_block_0, false);
out = reductionBlock(out, params.entry_flow.reduction_block_1);

6
typedoc/classes/detectallfacestask.html
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@ -201,7 +201,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L62">globalApi/DetectFacesTasks.ts:62</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L61">globalApi/DetectFacesTasks.ts:61</a></li>
</ul>
</aside>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">PredictAllAgeAndGenderTask</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-symbol">{ </span>detection<span class="tsd-signature-symbol">: </span><a href="facedetection.html" class="tsd-signature-type" data-tsd-kind="Class">FaceDetection</a><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">&gt;</span></h4>
@ -218,7 +218,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L55">globalApi/DetectFacesTasks.ts:55</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L54">globalApi/DetectFacesTasks.ts:54</a></li>
</ul>
</aside>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">PredictAllFaceExpressionsTask</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-symbol">{ </span>detection<span class="tsd-signature-symbol">: </span><a href="facedetection.html" class="tsd-signature-type" data-tsd-kind="Class">FaceDetection</a><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">&gt;</span></h4>
@ -235,7 +235,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L47">globalApi/DetectFacesTasks.ts:47</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L46">globalApi/DetectFacesTasks.ts:46</a></li>
</ul>
</aside>
<h4 class="tsd-parameters-title">Parameters</h4>

8
typedoc/classes/detectsinglefacelandmarkstask.html
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@ -159,7 +159,7 @@
<aside class="tsd-sources">
<p>Overrides <a href="detectfacelandmarkstaskbase.html">DetectFaceLandmarksTaskBase</a>.<a href="detectfacelandmarkstaskbase.html#run">run</a></p>
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFaceLandmarksTasks.ts#L71">globalApi/DetectFaceLandmarksTasks.ts:71</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFaceLandmarksTasks.ts#L69">globalApi/DetectFaceLandmarksTasks.ts:69</a></li>
</ul>
</aside>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><a href="../index.html#withfacelandmarks" class="tsd-signature-type" data-tsd-kind="Type alias">WithFaceLandmarks</a><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">TSource</span><span class="tsd-signature-symbol">, </span><a href="facelandmarks68.html" class="tsd-signature-type" data-tsd-kind="Class">FaceLandmarks68</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">&gt;</span></h4>
@ -218,7 +218,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFaceLandmarksTasks.ts#L93">globalApi/DetectFaceLandmarksTasks.ts:93</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFaceLandmarksTasks.ts#L91">globalApi/DetectFaceLandmarksTasks.ts:91</a></li>
</ul>
</aside>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">PredictSingleAgeAndGenderWithFaceAlignmentTask</span><span class="tsd-signature-symbol">&lt;</span><a href="../index.html#withfacelandmarks" class="tsd-signature-type" data-tsd-kind="Type alias">WithFaceLandmarks</a><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">TSource</span><span class="tsd-signature-symbol">, </span><a href="facelandmarks68.html" class="tsd-signature-type" data-tsd-kind="Class">FaceLandmarks68</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">&gt;</span></h4>
@ -235,7 +235,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFaceLandmarksTasks.ts#L97">globalApi/DetectFaceLandmarksTasks.ts:97</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFaceLandmarksTasks.ts#L95">globalApi/DetectFaceLandmarksTasks.ts:95</a></li>
</ul>
</aside>
<h4 class="tsd-returns-title">Returns <a href="computesinglefacedescriptortask.html" class="tsd-signature-type" data-tsd-kind="Class">ComputeSingleFaceDescriptorTask</a><span class="tsd-signature-symbol">&lt;</span><a href="../index.html#withfacelandmarks" class="tsd-signature-type" data-tsd-kind="Type alias">WithFaceLandmarks</a><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">TSource</span><span class="tsd-signature-symbol">, </span><a href="facelandmarks68.html" class="tsd-signature-type" data-tsd-kind="Class">FaceLandmarks68</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">&gt;</span></h4>
@ -252,7 +252,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFaceLandmarksTasks.ts#L89">globalApi/DetectFaceLandmarksTasks.ts:89</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFaceLandmarksTasks.ts#L87">globalApi/DetectFaceLandmarksTasks.ts:87</a></li>
</ul>
</aside>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">PredictSingleFaceExpressionsWithFaceAlignmentTask</span><span class="tsd-signature-symbol">&lt;</span><a href="../index.html#withfacelandmarks" class="tsd-signature-type" data-tsd-kind="Type alias">WithFaceLandmarks</a><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">TSource</span><span class="tsd-signature-symbol">, </span><a href="facelandmarks68.html" class="tsd-signature-type" data-tsd-kind="Class">FaceLandmarks68</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">&gt;</span></h4>

8
typedoc/classes/detectsinglefacetask.html
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@ -142,7 +142,7 @@
<aside class="tsd-sources">
<p>Overrides <a href="detectfacestaskbase.html">DetectFacesTaskBase</a>.<a href="detectfacestaskbase.html#run">run</a></p>
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L71">globalApi/DetectFacesTasks.ts:71</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L70">globalApi/DetectFacesTasks.ts:70</a></li>
</ul>
</aside>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">undefined</span><span class="tsd-signature-symbol"> | </span><a href="facedetection.html" class="tsd-signature-type" data-tsd-kind="Class">FaceDetection</a><span class="tsd-signature-symbol">&gt;</span></h4>
@ -201,7 +201,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L103">globalApi/DetectFacesTasks.ts:103</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L102">globalApi/DetectFacesTasks.ts:102</a></li>
</ul>
</aside>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">PredictSingleAgeAndGenderTask</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-symbol">{ </span>detection<span class="tsd-signature-symbol">: </span><a href="facedetection.html" class="tsd-signature-type" data-tsd-kind="Class">FaceDetection</a><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">&gt;</span></h4>
@ -218,7 +218,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L96">globalApi/DetectFacesTasks.ts:96</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L95">globalApi/DetectFacesTasks.ts:95</a></li>
</ul>
</aside>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">PredictSingleFaceExpressionsTask</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-symbol">{ </span>detection<span class="tsd-signature-symbol">: </span><a href="facedetection.html" class="tsd-signature-type" data-tsd-kind="Class">FaceDetection</a><span class="tsd-signature-symbol"> }</span><span class="tsd-signature-symbol">&gt;</span></h4>
@ -235,7 +235,7 @@
<li class="tsd-description">
<aside class="tsd-sources">
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L88">globalApi/DetectFacesTasks.ts:88</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/globalApi/DetectFacesTasks.ts#L87">globalApi/DetectFacesTasks.ts:87</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>

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<p>Inherited from <a href="ssdmobilenetv1.html">SsdMobilenetv1</a>.<a href="ssdmobilenetv1.html#forward">forward</a></p>
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/ssdMobilenetv1/SsdMobilenetv1.ts#L39">ssdMobilenetv1/SsdMobilenetv1.ts:39</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/ssdMobilenetv1/SsdMobilenetv1.ts#L38">ssdMobilenetv1/SsdMobilenetv1.ts:38</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
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<p>Inherited from <a href="ssdmobilenetv1.html">SsdMobilenetv1</a>.<a href="ssdmobilenetv1.html#locatefaces">locateFaces</a></p>
<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/ssdMobilenetv1/SsdMobilenetv1.ts#L43">ssdMobilenetv1/SsdMobilenetv1.ts:43</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/ssdMobilenetv1/SsdMobilenetv1.ts#L42">ssdMobilenetv1/SsdMobilenetv1.ts:42</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>

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<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/ssdMobilenetv1/SsdMobilenetv1.ts#L39">ssdMobilenetv1/SsdMobilenetv1.ts:39</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/ssdMobilenetv1/SsdMobilenetv1.ts#L38">ssdMobilenetv1/SsdMobilenetv1.ts:38</a></li>
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<h4 class="tsd-parameters-title">Parameters</h4>
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<ul>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/ssdMobilenetv1/SsdMobilenetv1.ts#L43">ssdMobilenetv1/SsdMobilenetv1.ts:43</a></li>
<li>Defined in <a href="https://github.com/vladmandic/face-api/blob/main/src/ssdMobilenetv1/SsdMobilenetv1.ts#L42">ssdMobilenetv1/SsdMobilenetv1.ts:42</a></li>
</ul>
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<h4 class="tsd-parameters-title">Parameters</h4>