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vision-face-detection
Advanced tools
Face detection with react native vision camera
npm install vision-face-detection
npm install react-native-vision-camera
npm install react-native-worklets-core
module.exports = {
....
plugins: [
['react-native-worklets-core/plugin'],
....
import * as React from 'react';
import { View, Text, StyleSheet } from 'react-native';
import {
Camera,
useCameraDevice,
useCameraFormat,
useFrameProcessor,
} from 'react-native-vision-camera';
import { scanFaces } from 'vision-face-detection';
import { useIsForeground } from './useIsForeground';
import { usePreferredCameraDevice } from './usePreferredCameraDevice';
import 'react-native-worklets-core';
export default function App() {
const [preferredDevice] = usePreferredCameraDevice();
let device = useCameraDevice('front');
if (preferredDevice != null && preferredDevice.position === 'front') {
// override default device with the one selected by the user in settings
device = preferredDevice;
}
const camera = React.useRef<Camera>(null);
const [targetFps] = React.useState(30);
const format = useCameraFormat(device, [
{ pixelFormat: 'yuv' },
{ fps: targetFps },
]);
const isForeground = useIsForeground();
const isActive = isForeground;
// const codeScanner = useCodeScanner({
// codeTypes: ['qr', 'ean-13'],
// onCodeScanned: codes => {
// if (codes.length > 0) {
// console.log(`Scanned ${codes[0].value} codes!`);
// }
// },
// });
const frameProcessor = useFrameProcessor((frame) => {
'worklet';
const scannedFaces: any = scanFaces(frame, {
cameraId: device?.id,
cameraType: device?.position === 'back' ? 'back' : 'front',
});
if (scannedFaces) {
console.log('scan', JSON.stringify(scannedFaces));
}
}, []);
if (device == null)
return (
<>
<Text>{'error'}</Text>
</>
);
return (
<View style={styles.mainView}>
<Camera
ref={camera}
style={styles.camera}
device={device}
photo={true}
isActive={isActive}
orientation={'portrait'}
pixelFormat="yuv"
format={format}
fps={targetFps}
photoHdr={format?.supportsPhotoHdr && false}
videoHdr={format?.supportsVideoHdr && false}
exposure={0}
frameProcessor={frameProcessor}
// codeScanner={codeScanner}
/>
</View>
);
}
const styles = StyleSheet.create({
camera: { width: '100%', height: '100%' },
mainView: { flex: 1, backgroundColor: 'white' },
});
See the contributing guide to learn how to contribute to the repository and the development workflow.
MIT
Made with create-react-native-library
FAQs
vision camera and google ml kit face detection
The npm package vision-face-detection receives a total of 1 weekly downloads. As such, vision-face-detection popularity was classified as not popular.
We found that vision-face-detection demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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