要使用Android相机X的图像分析器TFLite图像格式,你可以按照以下步骤进行操作:
首先,确保你已经将TFLite模型文件导入到你的Android项目中。你可以将模型文件放在app/src/main/assets
目录下。
在你的项目中创建一个新的类,例如ImageAnalyzer.java
,用来处理图像分析。
import android.annotation.SuppressLint;
import android.content.Context;
import android.graphics.Bitmap;
import android.graphics.BitmapFactory;
import android.media.Image;
import android.renderscript.Allocation;
import android.renderscript.Element;
import android.renderscript.RenderScript;
import android.renderscript.ScriptIntrinsicYuvToRGB;
import android.util.Log;
import org.tensorflow.lite.DataType;
import org.tensorflow.lite.Interpreter;
import org.tensorflow.lite.support.common.FileUtil;
import org.tensorflow.lite.support.image.TensorImage;
import org.tensorflow.lite.support.tensorbuffer.TensorBuffer;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.nio.MappedByteBuffer;
public class ImageAnalyzer {
private static final String TAG = "ImageAnalyzer";
private Interpreter interpreter;
private Context context;
public ImageAnalyzer(Context context) {
this.context = context;
try {
MappedByteBuffer tfliteModel = FileUtil.loadMappedFile(context, "model.tflite");
Interpreter.Options options = new Interpreter.Options();
interpreter = new Interpreter(tfliteModel, options);
} catch (IOException e) {
Log.e(TAG, "Failed to load TFLite model: " + e.getMessage());
}
}
@SuppressLint("UnsafeOptInUsageError")
public void analyzeImage(Image image) {
Bitmap bitmap = convertImageToBitmap(image);
if (bitmap != null) {
TensorImage tensorImage = TensorImage.fromBitmap(bitmap);
ByteBuffer inputBuffer = tensorImage.getBuffer();
// Resize and preprocess the input image if needed
// ...
// Run inference
float[][] output = new float[1][numClasses];
interpreter.run(inputBuffer, output);
// Process the output
// ...
}
}
private Bitmap convertImageToBitmap(Image image) {
RenderScript rs = RenderScript.create(context);
ScriptIntrinsicYuvToRGB yuvToRgb = ScriptIntrinsicYuvToRGB.create(rs, Element.U8_4(rs));
Image.Plane[] planes = image.getPlanes();
Image.Plane yPlane = planes[0];
Image.Plane uPlane = planes[1];
Image.Plane vPlane = planes[2];
int ySize = yPlane.getBuffer().remaining();
int uSize = uPlane.getBuffer().remaining();
int vSize = vPlane.getBuffer().remaining();
byte[] data = new byte[ySize + uSize + vSize];
yPlane.getBuffer().get(data, 0, ySize);
uPlane.getBuffer().get(data, ySize, uSize);
vPlane.getBuffer().get(data, ySize + uSize, vSize);
Bitmap bitmap = Bitmap.createBitmap(image.getWidth(), image.getHeight(), Bitmap.Config.ARGB_8888);
Allocation bmData = Allocation.createFromBitmap(rs, bitmap);
Allocation yuvData = Allocation.createSized(rs, Element.U8(rs), data.length);
yuvData.copyFrom(data);
yuvToRgb.setInput(yuvData);
yuvToRgb.forEach(bmData);
bmData.copyTo(bitmap);
rs.destroy();
return bitmap;
}
}
ImageAnalyzer
对象并调用analyzeImage
方法。import android.hardware.camera2.CameraCaptureSession;
import android.hardware.camera2.CameraDevice;
import android.hardware.camera2.CaptureRequest;
import android.hardware.camera2.TotalCaptureResult;
import android.media.Image;
import android.media.ImageReader;
import android.support.annotation.NonNull;
import android.support.v7.app.AppCompatActivity;
import android.os.Bundle;
import android.util.Log;
import android.view.Surface;
import android.view.SurfaceHolder;
import android.view.SurfaceView;
import android.widget.Toast;
import java.util.Arrays;
public class CameraActivity extends AppCompatActivity {
private static final String TAG = "CameraActivity";
private CameraDevice cameraDevice;
private CameraCaptureSession cameraCaptureSession;
private CaptureRequest.Builder captureRequestBuilder;
private ImageReader imageReader;
private SurfaceView surfaceView;
private SurfaceHolder surfaceHolder;
private ImageAnalyzer imageAnalyzer;
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout