Android MediaPipe 是一個用于構建實時計算機視覺管道的框架,可用于處理視頻和圖像
dependencies {
implementation 'com.google.mediapipe:mediapipe:1.8.0'
implementation 'com.google.android.material:material:1.4.0'
}
import com.google.mediapipe.framework.MediaPipe;
import com.google.mediapipe.framework.MediaPipeGraph;
import com.google.mediapipe.image.ImageEncoder;
import com.google.mediapipe.image.ImageDecoder;
import com.google.mediapipe.image.ImageFormat;
private static final int INPUT_VIDEO_WIDTH = 1280;
private static final int INPUT_VIDEO_HEIGHT = 720;
private static final int OUTPUT_JPEG_QUALITY = 80;
private MediaPipeGraph buildImageProcessingPipeline() {
MediaPipeGraph graph = new MediaPipeGraph();
// 圖像解碼器
ImageDecoder decoder = new ImageDecoder.Builder().setFormat(ImageFormat.JPEG).build();
graph.addDecoder(decoder);
// 圖像編碼器
ImageEncoder encoder = new ImageEncoder.Builder()
.setOutputFormat(ImageFormat.JPEG)
.setQuality(OUTPUT_JPEG_QUALITY)
.build();
graph.addEncoder(encoder);
return graph;
}
import android.graphics.Bitmap;
import android.graphics.ImageFormat;
import android.media.ImageReader;
import android.os.Bundle;
import androidx.appcompat.app.AppCompatActivity;
import java.io.IOException;
import java.nio.ByteBuffer;
public class MainActivity extends AppCompatActivity {
private MediaPipeGraph imageProcessingPipeline;
private ImageReader imageReader;
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_main);
imageProcessingPipeline = buildImageProcessingPipeline();
imageReader = ImageReader.newInstance(INPUT_VIDEO_WIDTH, INPUT_VIDEO_HEIGHT, ImageFormat.YUV_420_888, 2);
imageReader.setOnImageAvailableListener(imageAvailableListener, handler);
}
@Override
protected void onResume() {
super.onResume();
imageReader.setSurface(videoSurfaceView.getSurface());
}
@Override
protected void onPause() {
super.onPause();
imageReader.setSurface(null);
}
private final ImageReader.OnImageAvailableListener imageAvailableListener = new ImageReader.OnImageAvailableListener() {
@Override
public void onImageAvailable(ImageReader reader, Image image) {
Bitmap bitmap = Bitmap.createBitmap(image.getWidth(), image.getHeight(), Bitmap.Config.ARGB_8888);
bitmap.copyPixelsFromBuffer(image.getPlanes()[0].getBuffer());
// 將 Bitmap 傳遞給 MediaPipe 圖像處理管道
processImage(bitmap);
}
};
private void processImage(Bitmap bitmap) {
ByteBuffer[] inputBuffers = imageReader.getBuffer();
MediaPipe.Frame frame = new MediaPipe.Frame(inputBuffers[0].array(), inputBuffers[0].capacity(), MediaPipe.Frame.DataType.JPEG);
imageProcessingPipeline.run(frame);
// 獲取處理后的圖像
ByteBuffer[] outputBuffers = imageProcessingPipeline.getOutputBuffers();
MediaPipe.Frame outputFrame = new MediaPipe.Frame(outputBuffers[0].array(), outputBuffers[0].capacity(), MediaPipe.Frame.DataType.JPEG);
Bitmap processedBitmap = Bitmap.createBitmap(outputFrame.getWidth(), outputFrame.getHeight(), Bitmap.Config.ARGB_8888);
outputFrame.getBuffer().get(processedBitmap.getPixels(), 0, processedBitmap.getByteCount());
// 在這里處理已處理的圖像,例如顯示在 ImageView 中
}
}
這個示例中,我們創建了一個簡單的圖像處理管道,用于將視頻幀解碼為 JPEG 圖像。您可以根據需要修改此管道,以執行其他計算機視覺操作,例如對象檢測、面部識別等。
請注意,這個示例僅適用于處理靜態圖像。要處理視頻,您需要將視頻幀作為連續的圖像流進行處理。您可以使用 Android 的 CameraX 或 Camera2 API 獲取視頻幀,并將其傳遞給圖像處理管道。