android - Google Vision 人脸检测需要很长时间

问题描述

直接从google复制代码：link

使用 2MB 的图像，让我有 7 秒的等待时间来检测人脸。如果我将位图压缩 10 倍，它会给我 0.05 秒的人脸检测时间。但是，我在其他任何地方都找不到建议您在运行人脸检测之前压缩位图的人，事实上，文档建议检测人脸只需要 10 毫秒，并且当我使用相机作为图像源时它会实时完成。

相关未回答的问题：移动视觉 API 检测人脸的时间太长

只是想知道这是否正常，或者我做错了什么：

public class MainActivity extends AppCompatActivity {

private static final String TAG = "MainActivity";

private int FACE_DETECTION_RATIO_MINIMUM = 10;
FaceDetector detector;

@Override
protected void onCreate(Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);
    setContentView(R.layout.activity_main);


    Button btn = (Button) findViewById(R.id.button);
    btn.setOnClickListener(new View.OnClickListener() {
        @Override
        public void onClick(View v) {
            Log.d(TAG, "onClick: 1");

            ImageView myImageView = (ImageView) findViewById(R.id.imageView);
            BitmapFactory.Options options = new BitmapFactory.Options();
            options.inMutable=true;
            Bitmap myBitmap = BitmapFactory.decodeResource(
                    getApplicationContext().getResources(),
                    R.drawable.test2,
                    options);

            Log.d(TAG, "onClick: 2");

            Log.d(TAG, "onClick: width: " + myBitmap.getWidth() + " height: " + myBitmap.getHeight());


            Paint myRectPaint = new Paint();
            myRectPaint.setStrokeWidth(5);
            myRectPaint.setColor(Color.RED);
            myRectPaint.setStyle(Paint.Style.STROKE);

            Log.d(TAG, "onClick: 3");


            Bitmap tempBitmap = Bitmap.createBitmap(myBitmap.getWidth(), myBitmap.getHeight(), Bitmap.Config.RGB_565);
            Bitmap scaledBitmap = Bitmap.createScaledBitmap(myBitmap, myBitmap.getWidth()/10, myBitmap.getHeight() /10, false);
            Log.d(TAG, "scaled width: " + scaledBitmap.getWidth() + " height: " + scaledBitmap.getHeight());
            //tempBitmap.compress(Bitmap.CompressFormat.JPEG, 40, tempBitmap)
            Canvas tempCanvas = new Canvas(tempBitmap);
            Canvas tempCanvasScaled = new Canvas(scaledBitmap);

            tempCanvas.drawBitmap(myBitmap, 0, 0, null);
            Log.d(TAG, "onClick: 4");


            FaceDetector faceDetector = new
                    FaceDetector.Builder(getApplicationContext()).setTrackingEnabled(false).setMode(FAST_MODE).setLandmarkType(NO_LANDMARKS).setClassificationType(NO_CLASSIFICATIONS)
                    .build();
            if(!faceDetector.isOperational()){
                new AlertDialog.Builder(v.getContext()).setMessage("Could not set up the face detector!").show();
                return;
            }

            Log.d(TAG, "onClick: 5");



            Frame frame = new Frame.Builder().setBitmap(myBitmap).build();
            Frame frameScaled = new Frame.Builder().setBitmap(scaledBitmap).build();
            Log.d(TAG, "onClick: 5.1");
            SparseArray<Face> faces = faceDetector.detect(frameScaled);


         -->>   SparseArray<Face> faces2 = faceDetector.detect(frame); <-- Takes 7 seconds

            Log.d(TAG, "onClick: 6");

            for(int i=0; i<faces.size(); i++) {
                Face thisFace = faces.valueAt(i);
                float x1 = thisFace.getPosition().x;
                float y1 = thisFace.getPosition().y;
                float x2 = x1 + thisFace.getWidth();
                float y2 = y1 + thisFace.getHeight();
                tempCanvas.drawRoundRect(new RectF(x1, y1, x2, y2), 2, 2, myRectPaint);

                Log.d(TAG, "onClick: x,y,x,y: " + x1 +", " + y1 + ", " +  x2 +", " + y2);
            }

            for(int i=0; i<faces2.size(); i++) {
                Face thisFace = faces2.valueAt(i);
                float x1 = thisFace.getPosition().x;
                float y1 = thisFace.getPosition().y;
                float x2 = x1 + thisFace.getWidth();
                float y2 = y1 + thisFace.getHeight();
                tempCanvas.drawRoundRect(new RectF(x1, y1, x2, y2), 2, 2, myRectPaint);

                Log.d(TAG, "onClick: x,y,x,y: " + x1 +", " + y1 + ", " +  x2 +", " + y2);
            }

            Log.d(TAG, "onClick: 5");
            myImageView.setImageDrawable(new BitmapDrawable(getResources(),tempBitmap));

            faceDetector.release();

            //cropImage(x1,y1,x2,y2);


        }
    });


}

标签： androidface-detectiongoogle-vision

我对视觉 17.0.2/18.0.0 版本有同样的问题，我通过降级视觉库版本克服了它。

您可以使用这些设置

对于顶级 build.gradle

dependencies {
    //Google analytics
    classpath 'com.google.gms:google-services:4.3.2'
}

对于应用级 build.gradle

dependencies {

    implementation 'com.google.android.gms:play-services-vision:16.2.0'

}

如果您使用分析或 Firebase，这些版本与 Vision 16.2.0 兼容

dependencies {

        //Google analytics
        implementation 'com.google.android.gms:play-services-analytics:16.0.6'

        //firebase
        implementation 'com.google.firebase:firebase-core:16.0.6'
        implementation 'com.google.firebase:firebase-messaging:17.3.4'

}

android - Google Vision 人脸检测需要很长时间

问题描述

解决方案

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