@bigin/ns-firebase/mlkit/facedetection/index.ios.js

Fire. Base. Firebase!

import { ImageSource, Utils } from '@nativescript/core';
import { MLKitFaceDetection as MLKitFaceDetectionBase } from './facedetection-common';
export class MLKitFaceDetection extends MLKitFaceDetectionBase {
	createDetector() {
		return getDetector({
			detectionMode: this.detectionMode,
			enableFaceTracking: this.enableFaceTracking,
			minimumFaceSize: this.minimumFaceSize,
		});
	}
	createSuccessListener() {
		return (faces, error) => {
			if (error !== null) {
				console.log(error.localizedDescription);
			} else if (faces !== null && faces.count > 0) {
				const result = {
					faces: [],
				};
				for (let i = 0, l = faces.count; i < l; i++) {
					const face = faces.objectAtIndex(i);
					result.faces.push({
						smilingProbability: face.hasSmilingProbability ? face.smilingProbability : undefined,
						leftEyeOpenProbability: face.hasLeftEyeOpenProbability ? face.leftEyeOpenProbability : undefined,
						rightEyeOpenProbability: face.hasRightEyeOpenProbability ? face.rightEyeOpenProbability : undefined,
						trackingId: face.hasTrackingID ? face.trackingID : undefined,
						bounds: face.frame,
						headEulerAngleY: face.headEulerAngleY,
						headEulerAngleZ: face.headEulerAngleZ,
					});
				}
				this.notify({
					eventName: MLKitFaceDetection.scanResultEvent,
					object: this,
					value: result,
				});
			}
		};
	}
	rotateRecording() {
		return false;
	}
	getVisionOrientation(imageOrientation) {
		if (imageOrientation === 0 && !Utils.ios.isLandscape()) {
			return 6;
		} else {
			return super.getVisionOrientation(imageOrientation);
		}
	}
}
function getDetector(options) {
	const firVision = FIRVision.vision();
	const firOptions = FIRVisionFaceDetectorOptions.new();
	firOptions.performanceMode = options.detectionMode === 'accurate' ? 2 : 1;
	firOptions.landmarkMode = 2;
	firOptions.classificationMode = 2;
	firOptions.minFaceSize = options.minimumFaceSize;
	firOptions.trackingEnabled = options.enableFaceTracking === true;
	return firVision.faceDetectorWithOptions(firOptions);
}
export function detectFacesOnDevice(options) {
	return new Promise((resolve, reject) => {
		try {
			const faceDetector = getDetector(options);
			faceDetector.processImageCompletion(getImage(options), (faces, error) => {
				if (error !== null) {
					reject(error.localizedDescription);
				} else if (faces !== null) {
					const result = {
						faces: [],
					};
					for (let i = 0, l = faces.count; i < l; i++) {
						const face = faces.objectAtIndex(i);
						result.faces.push({
							smilingProbability: face.hasSmilingProbability ? face.smilingProbability : undefined,
							leftEyeOpenProbability: face.hasLeftEyeOpenProbability ? face.leftEyeOpenProbability : undefined,
							rightEyeOpenProbability: face.hasRightEyeOpenProbability ? face.rightEyeOpenProbability : undefined,
							trackingId: face.hasTrackingID ? face.trackingID : undefined,
							bounds: face.frame,
							headEulerAngleY: face.headEulerAngleY,
							headEulerAngleZ: face.headEulerAngleZ,
						});
					}
					resolve(result);
				}
			});
		} catch (ex) {
			console.log('Error in firebase.mlkit.detectFaces: ' + ex);
			reject(ex);
		}
	});
}
function getImage(options) {
	const image = options.image instanceof ImageSource ? options.image.ios : options.image.imageSource.ios;
	const newImage = UIImage.alloc().initWithCGImageScaleOrientation(image.CGImage, 1, 0);
	return FIRVisionImage.alloc().initWithImage(newImage);
}
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