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package org.tensorflow.demo;
import android.content.res.AssetManager;
import android.graphics.Bitmap;
import android.util.Log;
import java.util.ArrayList;
import java.util.List;
import java.util.StringTokenizer;
/**
* JNI wrapper class for the Tensorflow native code.
*/
public class TensorflowClassifier implements Classifier {
private static final String TAG = "TensorflowClassifier";
// jni native methods.
public native int initializeTensorflow(
AssetManager assetManager,
String model,
String labels,
int numClasses,
int inputSize,
int imageMean);
private native String classifyImageBmp(Bitmap bitmap);
private native String classifyImageRgb(int[] output, int width, int height);
static {
System.loadLibrary("tensorflow_demo");
}
@Override
public List<Recognition> recognizeImage(final Bitmap bitmap) {
final ArrayList<Recognition> recognitions = new ArrayList<Recognition>();
for (final String result : classifyImageBmp(bitmap).split("\n")) {
Log.i(TAG, "Parsing [" + result + "]");
// Clean up the string as needed
final StringTokenizer st = new StringTokenizer(result);
if (!st.hasMoreTokens()) {
continue;
}
final String id = st.nextToken();
final String confidenceString = st.nextToken();
final float confidence = Float.parseFloat(confidenceString);
final String title =
result.substring(id.length() + confidenceString.length() + 2, result.length());
if (!title.isEmpty()) {
recognitions.add(new Recognition(id, title, confidence, null));
}
}
return recognitions;
}
@Override
public void close() {}
}
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