Example usage for android.media Image getPlanes

Introduction

In this page you can find the example usage for android.media Image getPlanes.

Prototype

public abstract Plane[] getPlanes();

Source Link

Document

Get the array of pixel planes for this Image.

Usage

From source file:org.tensorflow.demo.Camera2BasicFragment.java

private void classifyImage(Image image) {
    try {/* w ww  .j  av  a  2s . co m*/
        Log.d("predict_class", "1");

        if (image == null) {
            return;
        }

        if (computing) {
            image.close();
            return;
        }
        Log.d("predict_class", "2");
        computing = true;

        Trace.beginSection("imageAvailable");
        Log.d("predict_class", image.getHeight() + "");
        Log.d("predict_class", image.getWidth() + "");

        final Image.Plane[] planes = image.getPlanes();

        fillBytes(planes, yuvBytes);

        final int yRowStride = planes[0].getRowStride();

        final int uvRowStride = planes[1].getRowStride();

        final int uvPixelStride = planes[1].getPixelStride();

        ImageUtils.convertYUV420ToARGB8888(yuvBytes[0], yuvBytes[1], yuvBytes[2], rgbBytes, previewWidth,
                previewHeight, yRowStride, uvRowStride, uvPixelStride, false);

        image.close();

    } catch (final Exception e) {
        Log.d("predict_class", "error: " + e.getMessage());

        if (image != null) {
            image.close();
        }
        LOGGER.e(e, "Exception!");
        Trace.endSection();
        return;
    }

    rgbFrameBitmap.setPixels(rgbBytes, 0, previewWidth, 0, 0, previewWidth, previewHeight);

    final Canvas canvas = new Canvas(croppedBitmap);
    canvas.drawBitmap(rgbFrameBitmap, frameToCropTransform, null);

    // For examining the actual TF input.
    if (SAVE_PREVIEW_BITMAP) {
        ImageUtils.saveBitmap(croppedBitmap);
    }

    runInBackground(new Runnable() {
        @Override
        public void run() {
            final long startTime = SystemClock.uptimeMillis();
            final List<Classifier.Recognition> results = classifier.recognizeImage(croppedBitmap);
            lastProcessingTimeMs = SystemClock.uptimeMillis() - startTime;
            String toastString = "";
            Log.d("predict_class", results.toString());
            for (Classifier.Recognition cr : results) {
                toastString = toastString + " " + cr.getTitle() + ": " + cr.getConfidence() + ";";
            }
            Log.d("predict_class", toastString);

            //showToast(toastString);
            Intent intent = new Intent(getActivity(), ClassifierResultActivity.class);
            Gson gs = new Gson();
            String resultString = gs.toJson(results);
            intent.putExtra("result", resultString);
            startActivity(intent);

            cropCopyBitmap = Bitmap.createBitmap(croppedBitmap);
            computing = false;
        }
    });

    Trace.endSection();
}

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