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face
Commit 61b702a6 by vincent
Options

use fetch instead of axios

parent b94260e4
Showing with 571 additions and 95 deletions
dist/face-api.js
......@@ -16071,6 +16071,9 @@
};
FaceDetectionNet.prototype.forwardTensor = function (imgTensor) {
var _this = this;
if (!this._params) {
throw new Error('FaceDetectionNet - load model before inference');
}
return tidy(function () {
var resized = resizeLayer(imgTensor);
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 () {
};
FaceDetectionNet.prototype.forwardTensor = function (imgTensor) {
var _this = this;
if (!this._params) {
throw new Error('FaceDetectionNet - load model before inference');
}
return tf.tidy(function () {
var resized = resizeLayer(imgTensor);
var features = mobileNetV1(resized, _this._params.mobilenetv1_params);
......
dist/faceDetectionNet/FaceDetectionNet.js.map
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dist/faceLandmarkNet/FaceLandmarkNet.js.map
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examples/package-lock.json
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examples/public/commons.js
......@@ -9,12 +9,12 @@ function getFaceImageUri(className, idx) {
}
async function fetchImage(uri) {
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async function initFaceRecognitionNet() {
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......@@ -2,7 +2,6 @@
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}
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"requires": {
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}
},
"minimist": {
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"dev": true
},
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"yallist": "3.0.2"
}
},
"minizlib": {
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}
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"needle": {
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"debug": "2.6.9",
"iconv-lite": "0.4.21",
"sax": "1.2.4"
}
},
"node-pre-gyp": {
"version": "0.10.0",
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"requires": {
"detect-libc": "1.0.3",
"mkdirp": "0.5.1",
"needle": "2.2.0",
"nopt": "4.0.1",
"npm-packlist": "1.1.10",
"npmlog": "4.1.2",
"rc": "1.2.7",
"rimraf": "2.6.2",
"semver": "5.5.0",
"tar": "4.4.1"
}
},
"nopt": {
"version": "4.0.1",
"bundled": true,
"dev": true,
"optional": true,
"requires": {
"abbrev": "1.1.1",
"osenv": "0.1.5"
}
},
"npm-bundled": {
"version": "1.0.3",
"bundled": true,
"dev": true,
"optional": true
},
"npm-packlist": {
"version": "1.1.10",
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"dev": true,
"optional": true,
"requires": {
"ignore-walk": "3.0.1",
"npm-bundled": "1.0.3"
}
},
"npmlog": {
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"gauge": "2.7.4",
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}
},
"number-is-nan": {
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},
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}
},
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},
"os-tmpdir": {
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},
"osenv": {
"version": "0.1.5",
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"dev": true,
"optional": true,
"requires": {
"os-homedir": "1.0.2",
"os-tmpdir": "1.0.2"
}
},
"path-is-absolute": {
"version": "1.0.1",
"bundled": true,
"dev": true,
"optional": true
},
"process-nextick-args": {
"version": "2.0.0",
"bundled": true,
"dev": true,
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},
"rc": {
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"ini": "1.3.5",
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},
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}
}
},
"readable-stream": {
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"requires": {
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"isarray": "1.0.0",
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"util-deprecate": "1.0.2"
}
},
"rimraf": {
"version": "2.6.2",
"bundled": true,
"dev": true,
"optional": true,
"requires": {
"glob": "7.1.2"
}
},
"safe-buffer": {
"version": "5.1.1",
"bundled": true,
"dev": true
},
"safer-buffer": {
"version": "2.1.2",
"bundled": true,
"dev": true,
"optional": true
},
"sax": {
"version": "1.2.4",
"bundled": true,
"dev": true,
"optional": true
},
"semver": {
"version": "5.5.0",
"bundled": true,
"dev": true,
"optional": true
},
"set-blocking": {
"version": "2.0.0",
"bundled": true,
"dev": true,
"optional": true
},
"signal-exit": {
"version": "3.0.2",
"bundled": true,
"dev": true,
"optional": true
},
"string-width": {
"version": "1.0.2",
"bundled": true,
"dev": true,
"requires": {
"code-point-at": "1.1.0",
"is-fullwidth-code-point": "1.0.0",
"strip-ansi": "3.0.1"
}
},
"string_decoder": {
"version": "1.1.1",
"bundled": true,
"dev": true,
"optional": true,
"requires": {
"safe-buffer": "5.1.1"
}
},
"strip-ansi": {
"version": "3.0.1",
"bundled": true,
"dev": true,
"requires": {
"ansi-regex": "2.1.1"
}
},
"strip-json-comments": {
"version": "2.0.1",
"bundled": true,
"dev": true,
"optional": true
},
"tar": {
"version": "4.4.1",
"bundled": true,
"dev": true,
"optional": true,
"requires": {
"chownr": "1.0.1",
"fs-minipass": "1.2.5",
"minipass": "2.2.4",
"minizlib": "1.1.0",
"mkdirp": "0.5.1",
"safe-buffer": "5.1.1",
"yallist": "3.0.2"
}
},
"util-deprecate": {
"version": "1.0.2",
"bundled": true,
"dev": true,
"optional": true
},
"wide-align": {
"version": "1.1.2",
"bundled": true,
"dev": true,
"optional": true,
"requires": {
"string-width": "1.0.2"
}
},
"wrappy": {
"version": "1.0.2",
"bundled": true,
"dev": true
},
"yallist": {
"version": "3.0.2",
"bundled": true,
"dev": true
}
}
},
"ftp": {
"version": "0.3.10",
"resolved": "https://registry.npmjs.org/ftp/-/ftp-0.3.10.tgz",
......@@ -3733,6 +4244,13 @@
"integrity": "sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g=",
"dev": true
},
"nan": {
"version": "2.10.0",
"resolved": "https://registry.npmjs.org/nan/-/nan-2.10.0.tgz",
"integrity": "sha512-bAdJv7fBLhWC+/Bls0Oza+mvTaNQtP+1RyhhhvD95pgUJz6XM5IzgmxOkItJ9tkoCiplvAnXI1tNmmUD/eScyA==",
"dev": true,
"optional": true
},
"nanomatch": {
"version": "1.2.9",
"resolved": "https://registry.npmjs.org/nanomatch/-/nanomatch-1.2.9.tgz",
......
package.json
......@@ -23,10 +23,8 @@
"@tensorflow/tfjs-core": "^0.11.0"
},
"devDependencies": {
"@types/axios": "^0.14.0",
"@types/jasmine": "^2.8.8",
"@types/node": "^10.1.1",
"axios": "^0.18.0",
"jasmine-core": "^3.1.0",
"karma": "^2.0.3",
"karma-chrome-launcher": "^2.2.0",
......
src/faceDetectionNet/FaceDetectionNet.ts
......@@ -36,6 +36,10 @@ export class FaceDetectionNet {
}
private forwardTensor(imgTensor: tf.Tensor4D) {
if (!this._params) {
throw new Error('FaceDetectionNet - load model before inference')
}
return tf.tidy(() => {
const resized = resizeLayer(imgTensor) as tf.Tensor4D
......
src/faceLandmarkNet/FaceLandmarkNet.ts
......@@ -40,13 +40,11 @@ export class FaceLandmarkNet {
this._params = extractParams(weights)
}
public async detectLandmarks(input: tf.Tensor | NetInput | TNetInput) {
if (!this._params) {
throw new Error('FaceLandmarkNet - load model before inference')
}
let imageDimensions: Dimensions | undefined
const outTensor = tf.tidy(() => {
......
test/e2e/faceDetectionNet.test.ts
import axios from 'axios';
import * as faceapi from '../../src';
import { FaceDetection } from '../../src/faceDetectionNet/FaceDetection';
import { IRect } from '../../src/Rect';
......@@ -15,18 +13,18 @@ function expectFaceDetectionEquals(result: FaceDetection, score: number, expecte
describe('faceDetectionNet', () => {
let faceDetectionNet: any, imgEl: HTMLImageElement
let faceDetectionNet: faceapi.FaceDetectionNet, imgEl: HTMLImageElement
beforeAll(async () => {
const res = await axios.get('base/weights/face_detection_model.weights', { responseType: 'arraybuffer' })
const weights = new Float32Array(res.data)
const res = await fetch('base/weights/uncompressed/face_detection_model.weights')
const weights = new Float32Array(await res.arrayBuffer())
faceDetectionNet = faceapi.faceDetectionNet(weights)
const img = await axios.get('base/test/images/faces.jpg', { responseType: 'blob' })
imgEl = await faceapi.bufferToImage(img.data)
const img = await (await fetch('base/test/images/faces.jpg')).blob()
imgEl = await faceapi.bufferToImage(img)
})
it('scores > 0.9', async () => {
it('scores > 0.8', async () => {
const { width, height } = imgEl
const result = await faceDetectionNet.locateFaces(imgEl) as FaceDetection[]
......
test/e2e/faceLandmarkNet.test.ts
import axios from 'axios';
import * as faceapi from '../../src';
import { FaceLandmarks } from '../../src/faceLandmarkNet/FaceLandmarks';
import { Point } from '../../src/Point';
describe('faceLandmarkNet', () => {
let faceLandmarkNet: any, imgEl: HTMLImageElement, faceLandmarkPositions: Point[]
let faceLandmarkNet: faceapi.FaceLandmarkNet, imgEl: HTMLImageElement, faceLandmarkPositions: Point[]
beforeAll(async () => {
const res = await axios.get('base/weights/uncompressed/face_landmark_68_model.weights', { responseType: 'arraybuffer' })
const weights = new Float32Array(res.data)
const res = await fetch('base/weights/uncompressed/face_landmark_68_model.weights')
const weights = new Float32Array(await res.arrayBuffer())
faceLandmarkNet = faceapi.faceLandmarkNet(weights)
const img = await axios.get('base/test/images/face.png', { responseType: 'blob' })
imgEl = await faceapi.bufferToImage(img.data)
faceLandmarkPositions = (await axios.get('base/test/data/faceLandmarkPositions.json')).data
const img = await (await fetch('base/test/images/face.png')).blob()
imgEl = await faceapi.bufferToImage(img)
faceLandmarkPositions = await (await fetch('base/test/data/faceLandmarkPositions.json')).json()
})
it('computes face descriptor', async () => {
......
test/e2e/faceRecognitionNet.test.ts
import axios from 'axios';
import * as faceapi from '../../src';
describe('faceRecognitionNet', () => {
......@@ -7,13 +5,13 @@ describe('faceRecognitionNet', () => {
let faceRecognitionNet: any, imgEl: HTMLImageElement, faceDescriptor: number[]
beforeAll(async () => {
const res = await axios.get('base/weights/uncompressed/face_recognition_model.weights', { responseType: 'arraybuffer' })
const weights = new Float32Array(res.data)
const res = await fetch('base/weights/uncompressed/face_recognition_model.weights')
const weights = new Float32Array(await res.arrayBuffer())
faceRecognitionNet = faceapi.faceRecognitionNet(weights)
const img = await axios.get('base/test/images/face.png', { responseType: 'blob' })
imgEl = await faceapi.bufferToImage(img.data)
faceDescriptor = (await axios.get('base/test/data/faceDescriptor.json')).data
const img = await (await fetch('base/test/images/face.png')).blob()
imgEl = await faceapi.bufferToImage(img)
faceDescriptor = await (await fetch('base/test/data/faceDescriptor.json')).json()
})
it('computes face descriptor', async () => {
......
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