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face
Commit 61b702a6 by vincent
Options

use fetch instead of axios

parent b94260e4
Showing with 34 additions and 76 deletions
dist/face-api.js
...@@ -16071,6 +16071,9 @@ ...@@ -16071,6 +16071,9 @@
}; };
FaceDetectionNet.prototype.forwardTensor = function (imgTensor) { FaceDetectionNet.prototype.forwardTensor = function (imgTensor) {
var _this = this; var _this = this;
if (!this._params) {
throw new Error('FaceDetectionNet - load model before inference');
}
return tidy(function () { return tidy(function () {
var resized = resizeLayer(imgTensor); var resized = resizeLayer(imgTensor);
var features = mobileNetV1(resized, _this._params.mobilenetv1_params); var features = mobileNetV1(resized, _this._params.mobilenetv1_params);
......
dist/face-api.min.js
This source diff could not be displayed because it is too large. You can view the blob instead.
dist/faceDetectionNet/FaceDetectionNet.js
...@@ -41,6 +41,9 @@ var FaceDetectionNet = /** @class */ (function () { ...@@ -41,6 +41,9 @@ var FaceDetectionNet = /** @class */ (function () {
}; };
FaceDetectionNet.prototype.forwardTensor = function (imgTensor) { FaceDetectionNet.prototype.forwardTensor = function (imgTensor) {
var _this = this; var _this = this;
if (!this._params) {
throw new Error('FaceDetectionNet - load model before inference');
}
return tf.tidy(function () { return tf.tidy(function () {
var resized = resizeLayer(imgTensor); var resized = resizeLayer(imgTensor);
var features = mobileNetV1(resized, _this._params.mobilenetv1_params); var features = mobileNetV1(resized, _this._params.mobilenetv1_params);
......
dist/faceDetectionNet/FaceDetectionNet.js.map
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\ No newline at end of file \ No newline at end of file
dist/faceLandmarkNet/FaceLandmarkNet.js.map
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examples/package-lock.json
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...@@ -156,24 +147,6 @@ ...@@ -156,24 +147,6 @@
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...@@ -210,11 +183,6 @@ ...@@ -210,11 +183,6 @@
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......
examples/package.json
...@@ -5,7 +5,6 @@ ...@@ -5,7 +5,6 @@
"author": "justadudewhohacks", "author": "justadudewhohacks",
"license": "MIT", "license": "MIT",
"dependencies": { "dependencies": {
"axios": "^0.18.0",
"express": "^4.16.3" "express": "^4.16.3"
} }
} }
examples/public/commons.js
...@@ -9,12 +9,12 @@ function getFaceImageUri(className, idx) { ...@@ -9,12 +9,12 @@ function getFaceImageUri(className, idx) {
} }
async function fetchImage(uri) { async function fetchImage(uri) {
return (await axios.get(uri, { responseType: 'blob' })).data return (await fetch(uri)).blob()
} }
async function initFaceRecognitionNet() { async function initFaceRecognitionNet() {
const res = await axios.get('uncompressed/face_recognition_model.weights', { responseType: 'arraybuffer' }) const res = await fetch('uncompressed/face_recognition_model.weights')
const weights = new Float32Array(res.data) const weights = new Float32Array(await res.arrayBuffer())
return faceapi.faceRecognitionNet(weights) return faceapi.faceRecognitionNet(weights)
} }
......
examples/views/detectAndDrawFaces.html
...@@ -2,7 +2,6 @@ ...@@ -2,7 +2,6 @@
<html> <html>
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script> <script src="commons.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
......
examples/views/detectAndDrawLandmarks.html
...@@ -2,7 +2,6 @@ ...@@ -2,7 +2,6 @@
<html> <html>
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script> <script src="commons.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
......
examples/views/detectAndRecognizeFaces.html
...@@ -2,7 +2,6 @@ ...@@ -2,7 +2,6 @@
<html> <html>
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script> <script src="commons.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
......
examples/views/faceAlignment.html
...@@ -2,7 +2,6 @@ ...@@ -2,7 +2,6 @@
<html> <html>
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script> <script src="commons.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
......
examples/views/faceDetection.html
...@@ -2,7 +2,6 @@ ...@@ -2,7 +2,6 @@
<html> <html>
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script> <script src="commons.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
......
examples/views/faceDetectionVideo.html
...@@ -2,7 +2,6 @@ ...@@ -2,7 +2,6 @@
<html> <html>
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script> <script src="commons.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
......
examples/views/faceLandmarks.html
...@@ -2,7 +2,6 @@ ...@@ -2,7 +2,6 @@
<html> <html>
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script> <script src="commons.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
......
examples/views/faceRecognition.html
...@@ -2,7 +2,6 @@ ...@@ -2,7 +2,6 @@
<html> <html>
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script> <script src="commons.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
......
examples/views/faceSimilarity.html
...@@ -2,7 +2,6 @@ ...@@ -2,7 +2,6 @@
<html> <html>
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script> <script src="commons.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
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package.json
...@@ -23,10 +23,8 @@ ...@@ -23,10 +23,8 @@
"@tensorflow/tfjs-core": "^0.11.0" "@tensorflow/tfjs-core": "^0.11.0"
}, },
"devDependencies": { "devDependencies": {
"@types/axios": "^0.14.0",
"@types/jasmine": "^2.8.8", "@types/jasmine": "^2.8.8",
"@types/node": "^10.1.1", "@types/node": "^10.1.1",
"axios": "^0.18.0",
"jasmine-core": "^3.1.0", "jasmine-core": "^3.1.0",
"karma": "^2.0.3", "karma": "^2.0.3",
"karma-chrome-launcher": "^2.2.0", "karma-chrome-launcher": "^2.2.0",
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src/faceDetectionNet/FaceDetectionNet.ts
...@@ -36,6 +36,10 @@ export class FaceDetectionNet { ...@@ -36,6 +36,10 @@ export class FaceDetectionNet {
} }
private forwardTensor(imgTensor: tf.Tensor4D) { private forwardTensor(imgTensor: tf.Tensor4D) {
if (!this._params) {
throw new Error('FaceDetectionNet - load model before inference')
}
return tf.tidy(() => { return tf.tidy(() => {
const resized = resizeLayer(imgTensor) as tf.Tensor4D const resized = resizeLayer(imgTensor) as tf.Tensor4D
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src/faceLandmarkNet/FaceLandmarkNet.ts
...@@ -40,13 +40,11 @@ export class FaceLandmarkNet { ...@@ -40,13 +40,11 @@ export class FaceLandmarkNet {
this._params = extractParams(weights) this._params = extractParams(weights)
} }
public async detectLandmarks(input: tf.Tensor | NetInput | TNetInput) { public async detectLandmarks(input: tf.Tensor | NetInput | TNetInput) {
if (!this._params) { if (!this._params) {
throw new Error('FaceLandmarkNet - load model before inference') throw new Error('FaceLandmarkNet - load model before inference')
} }
let imageDimensions: Dimensions | undefined let imageDimensions: Dimensions | undefined
const outTensor = tf.tidy(() => { const outTensor = tf.tidy(() => {
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test/e2e/faceDetectionNet.test.ts
import axios from 'axios';
import * as faceapi from '../../src'; import * as faceapi from '../../src';
import { FaceDetection } from '../../src/faceDetectionNet/FaceDetection'; import { FaceDetection } from '../../src/faceDetectionNet/FaceDetection';
import { IRect } from '../../src/Rect'; import { IRect } from '../../src/Rect';
...@@ -15,18 +13,18 @@ function expectFaceDetectionEquals(result: FaceDetection, score: number, expecte ...@@ -15,18 +13,18 @@ function expectFaceDetectionEquals(result: FaceDetection, score: number, expecte
describe('faceDetectionNet', () => { describe('faceDetectionNet', () => {
let faceDetectionNet: any, imgEl: HTMLImageElement let faceDetectionNet: faceapi.FaceDetectionNet, imgEl: HTMLImageElement
beforeAll(async () => { beforeAll(async () => {
const res = await axios.get('base/weights/face_detection_model.weights', { responseType: 'arraybuffer' }) const res = await fetch('base/weights/uncompressed/face_detection_model.weights')
const weights = new Float32Array(res.data) const weights = new Float32Array(await res.arrayBuffer())
faceDetectionNet = faceapi.faceDetectionNet(weights) faceDetectionNet = faceapi.faceDetectionNet(weights)
const img = await axios.get('base/test/images/faces.jpg', { responseType: 'blob' }) const img = await (await fetch('base/test/images/faces.jpg')).blob()
imgEl = await faceapi.bufferToImage(img.data) imgEl = await faceapi.bufferToImage(img)
}) })
it('scores > 0.9', async () => { it('scores > 0.8', async () => {
const { width, height } = imgEl const { width, height } = imgEl
const result = await faceDetectionNet.locateFaces(imgEl) as FaceDetection[] const result = await faceDetectionNet.locateFaces(imgEl) as FaceDetection[]
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test/e2e/faceLandmarkNet.test.ts
import axios from 'axios';
import * as faceapi from '../../src'; import * as faceapi from '../../src';
import { FaceLandmarks } from '../../src/faceLandmarkNet/FaceLandmarks'; import { FaceLandmarks } from '../../src/faceLandmarkNet/FaceLandmarks';
import { Point } from '../../src/Point'; import { Point } from '../../src/Point';
describe('faceLandmarkNet', () => { describe('faceLandmarkNet', () => {
let faceLandmarkNet: any, imgEl: HTMLImageElement, faceLandmarkPositions: Point[] let faceLandmarkNet: faceapi.FaceLandmarkNet, imgEl: HTMLImageElement, faceLandmarkPositions: Point[]
beforeAll(async () => { beforeAll(async () => {
const res = await axios.get('base/weights/uncompressed/face_landmark_68_model.weights', { responseType: 'arraybuffer' }) const res = await fetch('base/weights/uncompressed/face_landmark_68_model.weights')
const weights = new Float32Array(res.data) const weights = new Float32Array(await res.arrayBuffer())
faceLandmarkNet = faceapi.faceLandmarkNet(weights) faceLandmarkNet = faceapi.faceLandmarkNet(weights)
const img = await axios.get('base/test/images/face.png', { responseType: 'blob' }) const img = await (await fetch('base/test/images/face.png')).blob()
imgEl = await faceapi.bufferToImage(img.data) imgEl = await faceapi.bufferToImage(img)
faceLandmarkPositions = (await axios.get('base/test/data/faceLandmarkPositions.json')).data faceLandmarkPositions = await (await fetch('base/test/data/faceLandmarkPositions.json')).json()
}) })
it('computes face descriptor', async () => { it('computes face descriptor', async () => {
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test/e2e/faceRecognitionNet.test.ts
import axios from 'axios';
import * as faceapi from '../../src'; import * as faceapi from '../../src';
describe('faceRecognitionNet', () => { describe('faceRecognitionNet', () => {
...@@ -7,13 +5,13 @@ describe('faceRecognitionNet', () => { ...@@ -7,13 +5,13 @@ describe('faceRecognitionNet', () => {
let faceRecognitionNet: any, imgEl: HTMLImageElement, faceDescriptor: number[] let faceRecognitionNet: any, imgEl: HTMLImageElement, faceDescriptor: number[]
beforeAll(async () => { beforeAll(async () => {
const res = await axios.get('base/weights/uncompressed/face_recognition_model.weights', { responseType: 'arraybuffer' }) const res = await fetch('base/weights/uncompressed/face_recognition_model.weights')
const weights = new Float32Array(res.data) const weights = new Float32Array(await res.arrayBuffer())
faceRecognitionNet = faceapi.faceRecognitionNet(weights) faceRecognitionNet = faceapi.faceRecognitionNet(weights)
const img = await axios.get('base/test/images/face.png', { responseType: 'blob' }) const img = await (await fetch('base/test/images/face.png')).blob()
imgEl = await faceapi.bufferToImage(img.data) imgEl = await faceapi.bufferToImage(img)
faceDescriptor = (await axios.get('base/test/data/faceDescriptor.json')).data faceDescriptor = await (await fetch('base/test/data/faceDescriptor.json')).json()
}) })
it('computes face descriptor', async () => { it('computes face descriptor', async () => {
......
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