React Native Vision Camera Frame Processor Plugin of Dynamsoft Label Recognizer
For vision-camera v2, use versions 0.x.
For vision-camera v3, use versions 1.x.
For vision-camera v4, use versions >= 2.0.0.
Product | Android | iOS |
---|---|---|
Dynamsoft Label Recognizer | 3.4.20 | 3.4.20 |
yarn add vision-camera-dynamsoft-label-recognizer
cd ios && pod install
Add the plugin to your babel.config.js
:
module.exports = {
plugins: [['react-native-worklets-core/plugin']],
// ...
Note: You have to restart metro-bundler for changes in the
babel.config.js
file to take effect.
Scan text with vision camera.
import { recognize } from 'vision-camera-dynamsoft-label-recognizer';
// ...
const frameProcessor = useFrameProcessor((frame) => {
'worklet';
const scanResult = recognize(frame);
}, []);
Scan text from base64-encoded static images.
const scanResult = await decodeBase64(base64);
License initialization (apply for a trial license).
await initLicense("your license");
Scanning configuration:
//the value is in percentage
export interface ScanRegion{
left: number;
top: number;
width: number;
height: number;
}
export interface ScanConfig{
scanRegion?: ScanRegion;
includeImageBase64?: boolean;
template?: String;
}
About the result:
export interface ScanResult {
results: DLRResult[];
imageBase64?: string;
}
export interface DLRResult {
lineResults: DLRLineResult[];
}
export interface Quadrilateral{
points:Point[];
}
export interface Point {
x:number;
y:number;
}
export interface DLRLineResult {
text: string;
confidence: number;
characterResults: DLRCharacherResult[];
lineSpecificationName: string;
location: Quadrilateral;
}
export interface DLRCharacherResult {
characterH: string;
characterM: string;
characterL: string;
characterHConfidence: number;
characterMConfidence: number;
characterLConfidence: number;
location: Quadrilateral;
}
See the contributing guide to learn how to contribute to the repository and the development workflow.
MIT