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justadudewhohacksjustadudewhohacks
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use fetch instead of axios
1 parent b94260e commit 61b702a

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-94
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‎dist/face-api.js

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};
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FaceDetectionNet.prototype.forwardTensor = function (imgTensor) {
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var _this = this;
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if (!this._params) {
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throw new Error('FaceDetectionNet - load model before inference');
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}
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return tidy(function () {
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var resized = resizeLayer(imgTensor);
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var features = mobileNetV1(resized, _this._params.mobilenetv1_params);

‎dist/face-api.min.js

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‎dist/faceDetectionNet/FaceDetectionNet.js

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‎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/package.json

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"author": "justadudewhohacks",
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"license": "MIT",
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"dependencies": {
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"axios": "^0.18.0",
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"express": "^4.16.3"
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}
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}

‎examples/public/commons.js

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}
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async function fetchImage(uri) {
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return (await axios.get(uri, { responseType: 'blob' })).data
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return (await fetch(uri)).blob()
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}
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async function initFaceRecognitionNet() {
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const res = await axios.get('uncompressed/face_recognition_model.weights', { responseType: 'arraybuffer' })
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const weights = new Float32Array(res.data)
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const res = await fetch('uncompressed/face_recognition_model.weights')
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const weights = new Float32Array(await res.arrayBuffer())
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return faceapi.faceRecognitionNet(weights)
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}
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‎examples/views/detectAndDrawFaces.html

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<html>
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<head>
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<script src="face-api.js"></script>
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<script src="axios.min.js"></script>
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<script src="commons.js"></script>
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<link rel="stylesheet" href="styles.css">
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">

‎examples/views/detectAndDrawLandmarks.html

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<html>
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<head>
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<script src="face-api.js"></script>
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<script src="axios.min.js"></script>
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<script src="commons.js"></script>
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<link rel="stylesheet" href="styles.css">
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">

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