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Load models from custom urls #30

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Load models from custom urls #30

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eae1266
Allow custom urls
nWacky Mar 18, 2022
797b5f2
Set rendering = true when metadata was loaded
nWacky Mar 22, 2022
44bf776
Revert 'Set rendering = true when metadata was loaded'
nWacky May 3, 2022
fea97f4
revert formatting
nWacky May 3, 2022
c56d29c
rebuild index
nWacky May 3, 2022
b69e4b6
allow null params
nWacky May 3, 2022
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2 changes: 1 addition & 1 deletion dist/index.js
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2 changes: 1 addition & 1 deletion dist/index.js.map
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33 changes: 25 additions & 8 deletions index.js
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
import * as faceLandmarksDetection from '@tensorflow-models/face-landmarks-detection';
import * as tf from '@tensorflow/tfjs-core';
import '@tensorflow/tfjs-backend-webgl';
import * as faceLandmarksDetection from "@tensorflow-models/face-landmarks-detection";
import * as tf from "@tensorflow/tfjs-core";
import "@tensorflow/tfjs-backend-webgl";

let model, video, event, blinkRate;
const VIDEO_SIZE = 500;
Expand All @@ -17,12 +17,29 @@ function initBlinkRateCalculator() {
}, 10000);
}

const loadModel = async () => {
await tf.setBackend('webgl');
/**
* Load the machine learning model
* @param {Object | undefined | null} c - a configuration object, could be used to define custom model urls.
* Has properties:
* - `modelUrl` - custom facemesh model url or a `tf.io.IOHandler` object
* - `irisModelUrl` - custom iris model url or a `tf.io.IOHandler` object
* - `detectorModelUrl` - custom blazeface model url or a `tf.io.IOHandler` object
*/
const loadModel = async (c) => {
await tf.setBackend("webgl");

if (!c) {
c = {};
}

model = await faceLandmarksDetection.load(
faceLandmarksDetection.SupportedPackages.mediapipeFacemesh,
{ maxFaces: 1 }
{
maxFaces: 1,
modelUrl: c.modelUrl ? c.modelUrl : null,
irisModelUrl: c.irisModelUrl ? c.irisModelUrl : null,
detectorModelUrl: c.detectorModelUrl ? c.detectorModelUrl : null,
}
);
};

Expand All @@ -32,15 +49,15 @@ const setUpCamera = async (videoElement) => {

const defaultWebcam = mediaDevices.find(
(device) =>
device.kind === 'videoinput' && device.label.includes('Built-in')
device.kind === "videoinput" && device.label.includes("Built-in")
);

const cameraId = defaultWebcam ? defaultWebcam?.deviceId : undefined;

const stream = await navigator.mediaDevices.getUserMedia({
audio: false,
video: {
facingMode: 'user',
facingMode: "user",
deviceId: cameraId,
width: VIDEO_SIZE,
height: VIDEO_SIZE,
Expand Down