java,import com.google.mlkit.vision.common.InputImage;,import com.google.mlkit.vision.face.Face;,import com.google.mlkit.vision.face.FaceDetection;,import com.google.mlkit.vision.face.FaceDetector;,import com.google.mlkit.vision.face.FaceDetectorOptions;,,public void detectFaces(Bitmap bitmap) {, FaceDetectorOptions options = new FaceDetectorOptions.Builder(), .setPerformanceMode(FaceDetectorOptions.PERFORMANCE_MODE_ACCURATE), .setLandmarkMode(FaceDetectorOptions.LANDMARK_MODE_ALL), .setClassificationMode(FaceDetectorOptions.CLASSIFICATION_MODE_ALL), .build();,, InputImage image = InputImage.fromBitmap(bitmap, 0);, FaceDetector detector = FaceDetection.getClient(options);,, detector.process(image), .addOnSuccessListener(faces -> {, for (Face face : faces) {, // 处理检测到的人脸, }, }), .addOnFailureListener(e -> {, // 处理错误, });,},
``,,这段代码展示了如何使用ML Kit进行人脸检测,包括设置性能模式、地标模式和分类模式,并处理检测结果。Powered By Z-BlogPHP 1.7.3