Remove now-unused TensorFlowImageListener class.

Change: 138425944

1 files changed, 0 insertions, 189 deletions

diff --git a/tensorflow/examples/android/src/org/tensorflow/demo/TensorFlowImageListener.java b/tensorflow/examples/android/src/org/tensorflow/demo/TensorFlowImageListener.java
deleted file mode 100644
index 33da3d4080..0000000000
--- a/tensorflow/examples/android/src/org/tensorflow/demo/TensorFlowImageListener.java
+++ /dev/null
@@ -1,189 +0,0 @@
-/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-package org.tensorflow.demo;
-
-import android.graphics.Bitmap;
-import android.graphics.Bitmap.Config;
-import android.graphics.Canvas;
-import android.graphics.Matrix;
-import android.media.Image;
-import android.media.Image.Plane;
-import android.media.ImageReader;
-import android.media.ImageReader.OnImageAvailableListener;
-import android.os.Handler;
-import android.os.Trace;
-import junit.framework.Assert;
-import org.tensorflow.demo.env.ImageUtils;
-import org.tensorflow.demo.env.Logger;
-
-import java.util.List;
-
-/**
- * Class that takes in preview frames and converts the image to Bitmaps to process with Tensorflow.
- */
-public class TensorFlowImageListener implements OnImageAvailableListener {
-  private static final Logger LOGGER = new Logger();
-
-  private static final boolean SAVE_PREVIEW_BITMAP = false;
-
-  private Integer sensorOrientation;
-
-  private Classifier tensorflow;
-
-  private int previewWidth = 0;
-  private int previewHeight = 0;
-  private int inputSize = 0;
-  private byte[][] yuvBytes;
-  private int[] rgbBytes = null;
-  private Bitmap rgbFrameBitmap = null;
-  private Bitmap croppedBitmap = null;
-
-  private boolean computing = false;
-  private Handler handler;
-
-  private ResultsView resultsView;
-
-  public void initialize(
-      final Classifier tensorflow,
-      final ResultsView resultsView,
-      final int inputSize,
-      final Handler handler,
-      final Integer sensorOrientation) {
-    Assert.assertNotNull(sensorOrientation);
-    this.tensorflow = tensorflow;
-    this.resultsView = resultsView;
-    this.inputSize = inputSize;
-    this.handler = handler;
-    this.sensorOrientation = sensorOrientation;
-  }
-
-  private void drawResizedBitmap(final Bitmap src, final Bitmap dst) {
-    Assert.assertEquals(dst.getWidth(), dst.getHeight());
-    final float minDim = Math.min(src.getWidth(), src.getHeight());
-
-    final Matrix matrix = new Matrix();
-
-    // We only want the center square out of the original rectangle.
-    final float translateX = -Math.max(0, (src.getWidth() - minDim) / 2);
-    final float translateY = -Math.max(0, (src.getHeight() - minDim) / 2);
-    matrix.preTranslate(translateX, translateY);
-
-    final float scaleFactor = dst.getHeight() / minDim;
-    matrix.postScale(scaleFactor, scaleFactor);
-
-    // Rotate around the center if necessary.
-    if (sensorOrientation != 0) {
-      matrix.postTranslate(-dst.getWidth() / 2.0f, -dst.getHeight() / 2.0f);
-      matrix.postRotate(sensorOrientation);
-      matrix.postTranslate(dst.getWidth() / 2.0f, dst.getHeight() / 2.0f);
-    }
-
-    final Canvas canvas = new Canvas(dst);
-    canvas.drawBitmap(src, matrix, null);
-  }
-
-  @Override
-  public void onImageAvailable(final ImageReader reader) {
-    Image image = null;
-    try {
-      image = reader.acquireLatestImage();
-
-      if (image == null) {
-        return;
-      }
-
-      // No mutex needed as this method is not reentrant.
-      if (computing) {
-        image.close();
-        return;
-      }
-      computing = true;
-
-      Trace.beginSection("imageAvailable");
-
-      final Plane[] planes = image.getPlanes();
-
-      // Initialize the storage bitmaps once when the resolution is known.
-      if (previewWidth != image.getWidth() || previewHeight != image.getHeight()) {
-        previewWidth = image.getWidth();
-        previewHeight = image.getHeight();
-
-        LOGGER.i("Initializing at size %dx%d", previewWidth, previewHeight);
-        rgbBytes = new int[previewWidth * previewHeight];
-        rgbFrameBitmap = Bitmap.createBitmap(previewWidth, previewHeight, Config.ARGB_8888);
-        croppedBitmap = Bitmap.createBitmap(inputSize, inputSize, Config.ARGB_8888);
-
-        yuvBytes = new byte[planes.length][];
-        for (int i = 0; i < planes.length; ++i) {
-          yuvBytes[i] = new byte[planes[i].getBuffer().capacity()];
-        }
-      }
-
-      for (int i = 0; i < planes.length; ++i) {
-        planes[i].getBuffer().get(yuvBytes[i]);
-      }
-
-      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) {
-      if (image != null) {
-        image.close();
-      }
-      LOGGER.e(e, "Exception!");
-      Trace.endSection();
-      return;
-    }
-
-    rgbFrameBitmap.setPixels(rgbBytes, 0, previewWidth, 0, 0, previewWidth, previewHeight);
-    drawResizedBitmap(rgbFrameBitmap, croppedBitmap);
-
-    // For examining the actual TF input.
-    if (SAVE_PREVIEW_BITMAP) {
-      ImageUtils.saveBitmap(croppedBitmap);
-    }
-
-    handler.post(
-        new Runnable() {
-          @Override
-          public void run() {
-            final List<Classifier.Recognition> results = tensorflow.recognizeImage(croppedBitmap);
-
-            LOGGER.v("%d results", results.size());
-            for (final Classifier.Recognition result : results) {
-              LOGGER.v("Result: " + result.getTitle());
-            }
-            resultsView.setResults(results);
-            computing = false;
-          }
-        });
-
-    Trace.endSection();
-  }
-}