chore: import upstream snapshot with attribution

tensorflow/lite/java/demo/app/build.gradle

@@ -0,0 +1,135 @@
+apply plugin: 'com.android.application'
+
+android {
+    compileSdkVersion 26
+    buildToolsVersion "27.0.3"
+    defaultConfig {
+        applicationId "android.example.com.tflitecamerademo"
+        // Required by Camera2 API.
+        minSdkVersion 21
+        targetSdkVersion 26
+        versionCode 1
+        versionName "1.0"
+    }
+    lintOptions {
+        abortOnError false
+    }
+    buildTypes {
+        release {
+            minifyEnabled false
+            proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro'
+        }
+    }
+    aaptOptions {
+        noCompress "tflite"
+    }
+
+    compileOptions {
+        sourceCompatibility JavaVersion.VERSION_1_8
+        targetCompatibility JavaVersion.VERSION_1_8
+    }
+}
+
+repositories {
+    mavenCentral()
+    maven {  // Only for snapshot artifacts
+        name 'ossrh-snapshot'
+        url 'https://oss.sonatype.org/content/repositories/snapshots'
+    }
+}
+
+allprojects {
+    repositories {
+        // Uncomment if you want to use a local repo.
+        // mavenLocal()
+        mavenCentral()
+        maven {  // Only for snapshot artifacts
+            name 'ossrh-snapshot'
+            url 'http://oss.sonatype.org/content/repositories/snapshots'
+        }
+    }
+}
+
+dependencies {
+    implementation fileTree(dir: 'libs', include: ['*.jar'])
+    implementation 'com.android.support:appcompat-v7:25.2.0'
+    implementation 'com.android.support.constraint:constraint-layout:1.0.2'
+    implementation 'com.android.support:design:25.2.0'
+    implementation 'com.android.support:support-annotations:25.3.1'
+    implementation 'com.android.support:support-v13:25.2.0'
+
+    // Build off of nightly TensorFlow Lite
+    implementation 'org.tensorflow:tensorflow-lite:0.0.0-nightly-SNAPSHOT'
+    implementation 'org.tensorflow:tensorflow-lite-gpu:0.0.0-nightly-SNAPSHOT'
+    // Use local TensorFlow library
+    // implementation 'org.tensorflow:tensorflow-lite-local:0.0.0'
+}
+
+def targetFolder = "src/main/assets"
+def modelFloatDownloadUrl = "https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224.tgz"
+def modelQuantDownloadUrl = "https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz"
+def localCacheFloat = "build/intermediates/mobilenet_v1_1.0_224.tgz"
+def localCacheQuant = "build/intermediates/mmobilenet_v1_1.0_224_quant.tgz"
+
+
+task downloadModelFloat(type: DownloadUrlTask) {
+    doFirst {
+        println "Downloading ${modelFloatDownloadUrl}"
+    }
+    sourceUrl = "${modelFloatDownloadUrl}"
+    target = file("${localCacheFloat}")
+}
+
+task downloadModelQuant(type: DownloadUrlTask) {
+    doFirst {
+        println "Downloading ${modelQuantDownloadUrl}"
+    }
+    sourceUrl = "${modelQuantDownloadUrl}"
+    target = file("${localCacheQuant}")
+}
+
+task unzipModelFloat(type: Copy, dependsOn: 'downloadModelFloat') {
+    doFirst {
+        println "Unzipping ${localCacheFloat}"
+    }
+    from tarTree("${localCacheFloat}")
+    into "${targetFolder}"
+}
+
+task unzipModelQuant(type: Copy, dependsOn: 'downloadModelQuant') {
+    doFirst {
+        println "Unzipping ${localCacheQuant}"
+    }
+    from tarTree("${localCacheQuant}")
+    into "${targetFolder}"
+}
+
+task cleanUnusedFiles(type: Delete, dependsOn: ['unzipModelFloat', 'unzipModelQuant']) {
+    delete fileTree("${targetFolder}").matching {
+        include "*.pb"
+        include "*.ckpt.*"
+        include "*.pbtxt.*"
+        include "*.quant_info.*"
+        include "*.meta"
+    }
+}
+
+
+// Ensure the model file is downloaded and extracted before every build
+preBuild.dependsOn unzipModelFloat
+preBuild.dependsOn unzipModelQuant
+preBuild.dependsOn cleanUnusedFiles
+
+class DownloadUrlTask extends DefaultTask {
+    @Input
+    String sourceUrl
+
+    @OutputFile
+    File target
+
+    @TaskAction
+    void download() {
+        ant.get(src: sourceUrl, dest: target)
+    }
+}
+

tensorflow/lite/java/demo/app/src/main/AndroidManifest.xml

@@ -0,0 +1,43 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!--
+ Copyright 2014 The Android Open Source Project
+
+ 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.
+-->
+
+<manifest xmlns:android="http://schemas.android.com/apk/res/android"
+    package="com.example.android.tflitecamerademo">
+
+    <uses-permission android:name="android.permission.CAMERA" />
+
+    <uses-feature android:name="android.hardware.camera" />
+    <uses-feature android:name="android.hardware.camera.autofocus" />
+
+    <uses-sdk android:minSdkVersion="21" />
+
+    <application android:allowBackup="true"
+        android:label="@string/app_name"
+        android:icon="@drawable/ic_launcher"
+        android:theme="@style/MaterialTheme">
+
+        <activity android:name="com.example.android.tflitecamerademo.CameraActivity"
+                  android:screenOrientation="portrait"
+                  android:label="@string/app_name">
+            <intent-filter>
+                <action android:name="android.intent.action.MAIN" />
+                <category android:name="android.intent.category.LAUNCHER" />
+            </intent-filter>
+        </activity>
+    </application>
+
+</manifest>

tensorflow/lite/java/demo/app/src/main/BUILD

@@ -0,0 +1,33 @@
+load("@build_bazel_rules_android//android:rules.bzl", "android_binary")
+
+package(
+    # copybara:uncomment default_applicable_licenses = ["//tensorflow:LICENSE"],
+    default_visibility = ["//visibility:private"],
+    licenses = ["notice"],
+)
+
+android_binary(
+    name = "TfLiteCameraDemo",
+    srcs = glob(["java/**/*.java"]),
+    assets = [
+        "//tensorflow/lite/java/demo/app/src/main/assets:labels_mobilenet_quant_v1_224.txt",
+        "@tflite_mobilenet_quant//:mobilenet_v1_1.0_224_quant.tflite",
+        "@tflite_mobilenet_float//:mobilenet_v1_1.0_224.tflite",
+    ],
+    assets_dir = "",
+    custom_package = "com.example.android.tflitecamerademo",
+    manifest = "AndroidManifest.xml",
+    nocompress_extensions = [
+        ".tflite",
+    ],
+    resource_files = glob(["res/**"]),
+    # In some platforms we don't have an Android SDK/NDK and this target
+    # can't be built. We need to prevent the build system from trying to
+    # use the target in that case.
+    tags = ["manual"],
+    deps = [
+        "//tensorflow/lite/java:tensorflowlite",
+        "//tensorflow/lite/java:tensorflowlite_gpu",
+        "//tensorflow/lite/java/src/testhelper/java/org/tensorflow/lite:testhelper",
+    ],
+)

tensorflow/lite/java/demo/app/src/main/assets/BUILD

@@ -0,0 +1,14 @@
+package(
+    # copybara:uncomment default_applicable_licenses = ["//tensorflow:LICENSE"],
+    default_visibility = ["//visibility:private"],
+    licenses = ["notice"],
+)
+
+exports_files(
+    glob(
+        ["**/*"],
+        exclude = [
+            "BUILD",
+        ],
+    ),
+)

tensorflow/lite/java/demo/app/src/main/java/com/example/android/tflitecamerademo/AutoFitTextureView.java

@@ -0,0 +1,72 @@
+/* Copyright 2017 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 com.example.android.tflitecamerademo;
+
+import android.content.Context;
+import android.util.AttributeSet;
+import android.view.TextureView;
+
+/** A {@link TextureView} that can be adjusted to a specified aspect ratio. */
+public class AutoFitTextureView extends TextureView {
+
+  private int mRatioWidth = 0;
+  private int mRatioHeight = 0;
+
+  public AutoFitTextureView(Context context) {
+    this(context, null);
+  }
+
+  public AutoFitTextureView(Context context, AttributeSet attrs) {
+    this(context, attrs, 0);
+  }
+
+  public AutoFitTextureView(Context context, AttributeSet attrs, int defStyle) {
+    super(context, attrs, defStyle);
+  }
+
+  /**
+   * Sets the aspect ratio for this view. The size of the view will be measured based on the ratio
+   * calculated from the parameters. Note that the actual sizes of parameters don't matter, that is,
+   * calling setAspectRatio(2, 3) and setAspectRatio(4, 6) make the same result.
+   *
+   * @param width Relative horizontal size
+   * @param height Relative vertical size
+   */
+  public void setAspectRatio(int width, int height) {
+    if (width < 0 || height < 0) {
+      throw new IllegalArgumentException("Size cannot be negative.");
+    }
+    mRatioWidth = width;
+    mRatioHeight = height;
+    requestLayout();
+  }
+
+  @Override
+  protected void onMeasure(int widthMeasureSpec, int heightMeasureSpec) {
+    super.onMeasure(widthMeasureSpec, heightMeasureSpec);
+    int width = MeasureSpec.getSize(widthMeasureSpec);
+    int height = MeasureSpec.getSize(heightMeasureSpec);
+    if (0 == mRatioWidth || 0 == mRatioHeight) {
+      setMeasuredDimension(width, height);
+    } else {
+      if (width < height * mRatioWidth / mRatioHeight) {
+        setMeasuredDimension(width, width * mRatioHeight / mRatioWidth);
+      } else {
+        setMeasuredDimension(height * mRatioWidth / mRatioHeight, height);
+      }
+    }
+  }
+}

tensorflow/lite/java/demo/app/src/main/java/com/example/android/tflitecamerademo/Camera2BasicFragment.java

@@ -0,0 +1,862 @@
+/* Copyright 2017 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 com.example.android.tflitecamerademo;
+
+import android.app.Activity;
+import android.app.AlertDialog;
+import android.app.Dialog;
+import android.app.DialogFragment;
+import android.app.Fragment;
+import android.content.Context;
+import android.content.DialogInterface;
+import android.content.pm.PackageInfo;
+import android.content.pm.PackageManager;
+import android.content.res.Configuration;
+import android.graphics.Bitmap;
+import android.graphics.ImageFormat;
+import android.graphics.Matrix;
+import android.graphics.Point;
+import android.graphics.RectF;
+import android.graphics.SurfaceTexture;
+import android.hardware.camera2.CameraAccessException;
+import android.hardware.camera2.CameraCaptureSession;
+import android.hardware.camera2.CameraCharacteristics;
+import android.hardware.camera2.CameraDevice;
+import android.hardware.camera2.CameraManager;
+import android.hardware.camera2.CaptureRequest;
+import android.hardware.camera2.CaptureResult;
+import android.hardware.camera2.TotalCaptureResult;
+import android.hardware.camera2.params.StreamConfigurationMap;
+import android.media.ImageReader;
+import android.os.Bundle;
+import android.os.Handler;
+import android.os.HandlerThread;
+import android.os.Process;
+import android.text.SpannableString;
+import android.text.SpannableStringBuilder;
+import android.util.Log;
+import android.util.Size;
+import android.view.LayoutInflater;
+import android.view.Surface;
+import android.view.TextureView;
+import android.view.View;
+import android.view.ViewGroup;
+import android.widget.AdapterView;
+import android.widget.ArrayAdapter;
+import android.widget.ListView;
+import android.widget.NumberPicker;
+import android.widget.TextView;
+import android.widget.Toast;
+import androidx.annotation.NonNull;
+import android.support.v13.app.FragmentCompat;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.Comparator;
+import java.util.List;
+import java.util.concurrent.Semaphore;
+import java.util.concurrent.TimeUnit;
+
+/** Basic fragments for the Camera. */
+public class Camera2BasicFragment extends Fragment
+    implements FragmentCompat.OnRequestPermissionsResultCallback {
+
+  /** Tag for the {@link Log}. */
+  private static final String TAG = "TfLiteCameraDemo";
+
+  private static final String FRAGMENT_DIALOG = "dialog";
+
+  private static final String HANDLE_THREAD_NAME = "CameraBackground";
+
+  private static final int PERMISSIONS_REQUEST_CODE = 1;
+
+  private final Object lock = new Object();
+  private boolean runClassifier = false;
+  private boolean checkedPermissions = false;
+  private TextView textView;
+  private NumberPicker np;
+  private ImageClassifier classifier;
+  private ListView deviceView;
+  private ListView modelView;
+
+
+  /** Max preview width that is guaranteed by Camera2 API */
+  private static final int MAX_PREVIEW_WIDTH = 1920;
+
+  /** Max preview height that is guaranteed by Camera2 API */
+  private static final int MAX_PREVIEW_HEIGHT = 1080;
+
+  /**
+   * {@link TextureView.SurfaceTextureListener} handles several lifecycle events on a {@link
+   * TextureView}.
+   */
+  private final TextureView.SurfaceTextureListener surfaceTextureListener =
+      new TextureView.SurfaceTextureListener() {
+
+        @Override
+        public void onSurfaceTextureAvailable(SurfaceTexture texture, int width, int height) {
+          openCamera(width, height);
+        }
+
+        @Override
+        public void onSurfaceTextureSizeChanged(SurfaceTexture texture, int width, int height) {
+          configureTransform(width, height);
+        }
+
+        @Override
+        public boolean onSurfaceTextureDestroyed(SurfaceTexture texture) {
+          return true;
+        }
+
+        @Override
+        public void onSurfaceTextureUpdated(SurfaceTexture texture) {}
+      };
+
+  // Model parameter constants.
+  private String gpu;
+  private String cpu;
+  private String nnApi;
+  private String mobilenetV1Quant;
+  private String mobilenetV1Float;
+
+
+
+  /** ID of the current {@link CameraDevice}. */
+  private String cameraId;
+
+  /** An {@link AutoFitTextureView} for camera preview. */
+  private AutoFitTextureView textureView;
+
+  /** A {@link CameraCaptureSession } for camera preview. */
+  private CameraCaptureSession captureSession;
+
+  /** A reference to the opened {@link CameraDevice}. */
+  private CameraDevice cameraDevice;
+
+  /** The {@link android.util.Size} of camera preview. */
+  private Size previewSize;
+
+  /** {@link CameraDevice.StateCallback} is called when {@link CameraDevice} changes its state. */
+  private final CameraDevice.StateCallback stateCallback =
+      new CameraDevice.StateCallback() {
+
+        @Override
+        public void onOpened(@NonNull CameraDevice currentCameraDevice) {
+          // This method is called when the camera is opened.  We start camera preview here.
+          cameraOpenCloseLock.release();
+          cameraDevice = currentCameraDevice;
+          createCameraPreviewSession();
+        }
+
+        @Override
+        public void onDisconnected(@NonNull CameraDevice currentCameraDevice) {
+          cameraOpenCloseLock.release();
+          currentCameraDevice.close();
+          cameraDevice = null;
+        }
+
+        @Override
+        public void onError(@NonNull CameraDevice currentCameraDevice, int error) {
+          cameraOpenCloseLock.release();
+          currentCameraDevice.close();
+          cameraDevice = null;
+          Activity activity = getActivity();
+          if (null != activity) {
+            activity.finish();
+          }
+        }
+      };
+
+  private ArrayList<String> deviceStrings = new ArrayList<String>();
+  private ArrayList<String> modelStrings = new ArrayList<String>();
+
+  /** Current indices of device and model. */
+  int currentDevice = -1;
+
+  int currentModel = -1;
+
+  int currentNumThreads = -1;
+
+  /** An additional thread for running tasks that shouldn't block the UI. */
+  private HandlerThread backgroundThread;
+
+  /** A {@link Handler} for running tasks in the background. */
+  private Handler backgroundHandler;
+
+  /** An {@link ImageReader} that handles image capture. */
+  private ImageReader imageReader;
+
+  /** {@link CaptureRequest.Builder} for the camera preview */
+  private CaptureRequest.Builder previewRequestBuilder;
+
+  /** {@link CaptureRequest} generated by {@link #previewRequestBuilder} */
+  private CaptureRequest previewRequest;
+
+  /** A {@link Semaphore} to prevent the app from exiting before closing the camera. */
+  private Semaphore cameraOpenCloseLock = new Semaphore(1);
+
+  /** A {@link CameraCaptureSession.CaptureCallback} that handles events related to capture. */
+  private CameraCaptureSession.CaptureCallback captureCallback =
+      new CameraCaptureSession.CaptureCallback() {
+
+        @Override
+        public void onCaptureProgressed(
+            @NonNull CameraCaptureSession session,
+            @NonNull CaptureRequest request,
+            @NonNull CaptureResult partialResult) {}
+
+        @Override
+        public void onCaptureCompleted(
+            @NonNull CameraCaptureSession session,
+            @NonNull CaptureRequest request,
+            @NonNull TotalCaptureResult result) {}
+      };
+
+  /**
+   * Shows a {@link Toast} on the UI thread for the classification results.
+   *
+   * @param text The message to show
+   */
+  private void showToast(String s) {
+    SpannableStringBuilder builder = new SpannableStringBuilder();
+    SpannableString str1 = new SpannableString(s);
+    builder.append(str1);
+    showToast(builder);
+  }
+
+  private void showToast(SpannableStringBuilder builder) {
+    final Activity activity = getActivity();
+    if (activity != null) {
+      activity.runOnUiThread(
+          new Runnable() {
+            @Override
+            public void run() {
+              textView.setText(builder, TextView.BufferType.SPANNABLE);
+            }
+          });
+    }
+  }
+
+  /**
+   * Resizes image.
+   *
+   * Attempting to use too large a preview size could  exceed the camera bus' bandwidth limitation,
+   * resulting in gorgeous previews but the storage of garbage capture data.
+   *
+   * Given {@code choices} of {@code Size}s supported by a camera, choose the smallest one that is
+   * at least as large as the respective texture view size, and that is at most as large as the
+   * respective max size, and whose aspect ratio matches with the specified value. If such size
+   * doesn't exist, choose the largest one that is at most as large as the respective max size, and
+   * whose aspect ratio matches with the specified value.
+   *
+   * @param choices The list of sizes that the camera supports for the intended output class
+   * @param textureViewWidth The width of the texture view relative to sensor coordinate
+   * @param textureViewHeight The height of the texture view relative to sensor coordinate
+   * @param maxWidth The maximum width that can be chosen
+   * @param maxHeight The maximum height that can be chosen
+   * @param aspectRatio The aspect ratio
+   * @return The optimal {@code Size}, or an arbitrary one if none were big enough
+   */
+  private static Size chooseOptimalSize(
+      Size[] choices,
+      int textureViewWidth,
+      int textureViewHeight,
+      int maxWidth,
+      int maxHeight,
+      Size aspectRatio) {
+
+    // Collect the supported resolutions that are at least as big as the preview Surface
+    List<Size> bigEnough = new ArrayList<>();
+    // Collect the supported resolutions that are smaller than the preview Surface
+    List<Size> notBigEnough = new ArrayList<>();
+    int w = aspectRatio.getWidth();
+    int h = aspectRatio.getHeight();
+    for (Size option : choices) {
+      if (option.getWidth() <= maxWidth
+          && option.getHeight() <= maxHeight
+          && option.getHeight() == option.getWidth() * h / w) {
+        if (option.getWidth() >= textureViewWidth && option.getHeight() >= textureViewHeight) {
+          bigEnough.add(option);
+        } else {
+          notBigEnough.add(option);
+        }
+      }
+    }
+
+    // Pick the smallest of those big enough. If there is no one big enough, pick the
+    // largest of those not big enough.
+    if (bigEnough.size() > 0) {
+      return Collections.min(bigEnough, new CompareSizesByArea());
+    } else if (notBigEnough.size() > 0) {
+      return Collections.max(notBigEnough, new CompareSizesByArea());
+    } else {
+      Log.e(TAG, "Couldn't find any suitable preview size");
+      return choices[0];
+    }
+  }
+
+  public static Camera2BasicFragment newInstance() {
+    return new Camera2BasicFragment();
+  }
+
+  /** Layout the preview and buttons. */
+  @Override
+  public View onCreateView(
+      LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) {
+    return inflater.inflate(R.layout.fragment_camera2_basic, container, false);
+  }
+
+  private void updateActiveModel() {
+    // Get UI information before delegating to background
+    final int modelIndex = modelView.getCheckedItemPosition();
+    final int deviceIndex = deviceView.getCheckedItemPosition();
+    final int numThreads = np.getValue();
+
+    backgroundHandler.post(
+        () -> {
+          if (modelIndex == currentModel
+              && deviceIndex == currentDevice
+              && numThreads == currentNumThreads) {
+            return;
+          }
+          currentModel = modelIndex;
+          currentDevice = deviceIndex;
+          currentNumThreads = numThreads;
+
+          // Disable classifier while updating
+          if (classifier != null) {
+            classifier.close();
+            classifier = null;
+          }
+
+          // Lookup names of parameters.
+          String model = modelStrings.get(modelIndex);
+          String device = deviceStrings.get(deviceIndex);
+
+          Log.i(TAG, "Changing model to " + model + " device " + device);
+
+          // Try to load model.
+          try {
+            if (model.equals(mobilenetV1Quant)) {
+              classifier = new ImageClassifierQuantizedMobileNet(getActivity());
+            } else if (model.equals(mobilenetV1Float)) {
+              classifier = new ImageClassifierFloatMobileNet(getActivity());
+            } else {
+              showToast("Failed to load model");
+            }
+          } catch (IOException e) {
+            Log.d(TAG, "Failed to load", e);
+            classifier = null;
+          }
+
+          // Customize the interpreter to the type of device we want to use.
+          if (classifier == null) {
+            return;
+          }
+          classifier.setNumThreads(numThreads);
+          if (device.equals(cpu)) {
+          } else if (device.equals(gpu)) {
+            classifier.useGpu();
+          } else if (device.equals(nnApi)) {
+            classifier.useNNAPI();
+          }
+        });
+  }
+
+  /** Connect the buttons to their event handler. */
+  @Override
+  public void onViewCreated(final View view, Bundle savedInstanceState) {
+    gpu = getString(R.string.gpu);
+    cpu = getString(R.string.cpu);
+    nnApi = getString(R.string.nnapi);
+    mobilenetV1Quant = getString(R.string.mobilenetV1Quant);
+    mobilenetV1Float = getString(R.string.mobilenetV1Float);
+
+    // Get references to widgets.
+    textureView = (AutoFitTextureView) view.findViewById(R.id.texture);
+    textView = (TextView) view.findViewById(R.id.text);
+    deviceView = (ListView) view.findViewById(R.id.device);
+    modelView = (ListView) view.findViewById(R.id.model);
+
+    // Build list of models
+    modelStrings.add(mobilenetV1Quant);
+    modelStrings.add(mobilenetV1Float);
+
+    // Build list of devices
+    int defaultModelIndex = 0;
+    deviceStrings.add(cpu);
+    deviceStrings.add(gpu);
+    deviceStrings.add(nnApi);
+
+    deviceView.setAdapter(
+        new ArrayAdapter<String>(
+            getContext(), R.layout.listview_row, R.id.listview_row_text, deviceStrings));
+    deviceView.setChoiceMode(ListView.CHOICE_MODE_SINGLE);
+    deviceView.setOnItemClickListener(
+        new AdapterView.OnItemClickListener() {
+          @Override
+          public void onItemClick(AdapterView<?> parent, View view, int position, long id) {
+            updateActiveModel();
+          }
+        });
+    deviceView.setItemChecked(0, true);
+
+    modelView.setChoiceMode(ListView.CHOICE_MODE_SINGLE);
+    ArrayAdapter<String> modelAdapter =
+        new ArrayAdapter<>(
+            getContext(), R.layout.listview_row, R.id.listview_row_text, modelStrings);
+    modelView.setAdapter(modelAdapter);
+    modelView.setItemChecked(defaultModelIndex, true);
+    modelView.setOnItemClickListener(
+        new AdapterView.OnItemClickListener() {
+          @Override
+          public void onItemClick(AdapterView<?> parent, View view, int position, long id) {
+            updateActiveModel();
+          }
+        });
+
+    np = (NumberPicker) view.findViewById(R.id.np);
+    np.setMinValue(1);
+    np.setMaxValue(10);
+    np.setWrapSelectorWheel(true);
+    np.setOnValueChangedListener(
+        new NumberPicker.OnValueChangeListener() {
+          @Override
+          public void onValueChange(NumberPicker picker, int oldVal, int newVal) {
+            updateActiveModel();
+          }
+        });
+
+    // Start initial model.
+  }
+
+  /** Load the model and labels. */
+  @Override
+  public void onActivityCreated(Bundle savedInstanceState) {
+    super.onActivityCreated(savedInstanceState);
+    startBackgroundThread();
+  }
+
+  @Override
+  public void onResume() {
+    super.onResume();
+    startBackgroundThread();
+
+    // When the screen is turned off and turned back on, the SurfaceTexture is already
+    // available, and "onSurfaceTextureAvailable" will not be called. In that case, we can open
+    // a camera and start preview from here (otherwise, we wait until the surface is ready in
+    // the SurfaceTextureListener).
+    if (textureView.isAvailable()) {
+      openCamera(textureView.getWidth(), textureView.getHeight());
+    } else {
+      textureView.setSurfaceTextureListener(surfaceTextureListener);
+    }
+  }
+
+  @Override
+  public void onPause() {
+    closeCamera();
+    stopBackgroundThread();
+    super.onPause();
+  }
+
+  @Override
+  public void onDestroy() {
+    if (classifier != null) {
+      classifier.close();
+    }
+    super.onDestroy();
+  }
+
+  /**
+   * Sets up member variables related to camera.
+   *
+   * @param width The width of available size for camera preview
+   * @param height The height of available size for camera preview
+   */
+  private void setUpCameraOutputs(int width, int height) {
+    Activity activity = getActivity();
+    CameraManager manager = (CameraManager) activity.getSystemService(Context.CAMERA_SERVICE);
+    try {
+      for (String cameraId : manager.getCameraIdList()) {
+        CameraCharacteristics characteristics = manager.getCameraCharacteristics(cameraId);
+
+        // We don't use a front facing camera in this sample.
+        Integer facing = characteristics.get(CameraCharacteristics.LENS_FACING);
+        if (facing != null && facing == CameraCharacteristics.LENS_FACING_FRONT) {
+          continue;
+        }
+
+        StreamConfigurationMap map =
+            characteristics.get(CameraCharacteristics.SCALER_STREAM_CONFIGURATION_MAP);
+        if (map == null) {
+          continue;
+        }
+
+        // // For still image captures, we use the largest available size.
+        Size largest =
+            Collections.max(
+                Arrays.asList(map.getOutputSizes(ImageFormat.JPEG)), new CompareSizesByArea());
+        imageReader =
+            ImageReader.newInstance(
+                largest.getWidth(), largest.getHeight(), ImageFormat.JPEG, /*maxImages*/ 2);
+
+        // Find out if we need to swap dimension to get the preview size relative to sensor
+        // coordinate.
+        int displayRotation = activity.getWindowManager().getDefaultDisplay().getRotation();
+        // noinspection ConstantConditions
+        /* Orientation of the camera sensor */
+        int sensorOrientation = characteristics.get(CameraCharacteristics.SENSOR_ORIENTATION);
+        boolean swappedDimensions = false;
+        switch (displayRotation) {
+          case Surface.ROTATION_0:
+          case Surface.ROTATION_180:
+            if (sensorOrientation == 90 || sensorOrientation == 270) {
+              swappedDimensions = true;
+            }
+            break;
+          case Surface.ROTATION_90:
+          case Surface.ROTATION_270:
+            if (sensorOrientation == 0 || sensorOrientation == 180) {
+              swappedDimensions = true;
+            }
+            break;
+          default:
+            Log.e(TAG, "Display rotation is invalid: " + displayRotation);
+        }
+
+        Point displaySize = new Point();
+        activity.getWindowManager().getDefaultDisplay().getSize(displaySize);
+        int rotatedPreviewWidth = width;
+        int rotatedPreviewHeight = height;
+        int maxPreviewWidth = displaySize.x;
+        int maxPreviewHeight = displaySize.y;
+
+        if (swappedDimensions) {
+          rotatedPreviewWidth = height;
+          rotatedPreviewHeight = width;
+          maxPreviewWidth = displaySize.y;
+          maxPreviewHeight = displaySize.x;
+        }
+
+        if (maxPreviewWidth > MAX_PREVIEW_WIDTH) {
+          maxPreviewWidth = MAX_PREVIEW_WIDTH;
+        }
+
+        if (maxPreviewHeight > MAX_PREVIEW_HEIGHT) {
+          maxPreviewHeight = MAX_PREVIEW_HEIGHT;
+        }
+
+        previewSize =
+            chooseOptimalSize(
+                map.getOutputSizes(SurfaceTexture.class),
+                rotatedPreviewWidth,
+                rotatedPreviewHeight,
+                maxPreviewWidth,
+                maxPreviewHeight,
+                largest);
+
+        // We fit the aspect ratio of TextureView to the size of preview we picked.
+        int orientation = getResources().getConfiguration().orientation;
+        if (orientation == Configuration.ORIENTATION_LANDSCAPE) {
+          textureView.setAspectRatio(previewSize.getWidth(), previewSize.getHeight());
+        } else {
+          textureView.setAspectRatio(previewSize.getHeight(), previewSize.getWidth());
+        }
+
+        this.cameraId = cameraId;
+        return;
+      }
+    } catch (CameraAccessException e) {
+      Log.e(TAG, "Failed to access Camera", e);
+    } catch (NullPointerException e) {
+      // Currently an NPE is thrown when the Camera2API is used but not supported on the
+      // device this code runs.
+      ErrorDialog.newInstance(getString(R.string.camera_error))
+          .show(getChildFragmentManager(), FRAGMENT_DIALOG);
+    }
+  }
+
+  private String[] getRequiredPermissions() {
+    Activity activity = getActivity();
+    try {
+      PackageInfo info =
+          activity
+              .getPackageManager()
+              .getPackageInfo(activity.getPackageName(), PackageManager.GET_PERMISSIONS);
+      String[] ps = info.requestedPermissions;
+      if (ps != null && ps.length > 0) {
+        return ps;
+      } else {
+        return new String[0];
+      }
+    } catch (Exception e) {
+      return new String[0];
+    }
+  }
+
+  /** Opens the camera specified by {@link Camera2BasicFragment#cameraId}. */
+  private void openCamera(int width, int height) {
+    if (!checkedPermissions && !allPermissionsGranted()) {
+      FragmentCompat.requestPermissions(this, getRequiredPermissions(), PERMISSIONS_REQUEST_CODE);
+      return;
+    } else {
+      checkedPermissions = true;
+    }
+    setUpCameraOutputs(width, height);
+    configureTransform(width, height);
+    Activity activity = getActivity();
+    CameraManager manager = (CameraManager) activity.getSystemService(Context.CAMERA_SERVICE);
+    try {
+      if (!cameraOpenCloseLock.tryAcquire(2500, TimeUnit.MILLISECONDS)) {
+        throw new RuntimeException("Time out waiting to lock camera opening.");
+      }
+      manager.openCamera(cameraId, stateCallback, backgroundHandler);
+    } catch (CameraAccessException e) {
+      Log.e(TAG, "Failed to open Camera", e);
+    } catch (InterruptedException e) {
+      throw new RuntimeException("Interrupted while trying to lock camera opening.", e);
+    }
+  }
+
+  private boolean allPermissionsGranted() {
+    for (String permission : getRequiredPermissions()) {
+      if (getActivity().checkPermission(permission, Process.myPid(), Process.myUid())
+          != PackageManager.PERMISSION_GRANTED) {
+        return false;
+      }
+    }
+    return true;
+  }
+
+  @Override
+  public void onRequestPermissionsResult(
+      int requestCode, @NonNull String[] permissions, @NonNull int[] grantResults) {
+    super.onRequestPermissionsResult(requestCode, permissions, grantResults);
+  }
+
+  /** Closes the current {@link CameraDevice}. */
+  private void closeCamera() {
+    try {
+      cameraOpenCloseLock.acquire();
+      if (null != captureSession) {
+        captureSession.close();
+        captureSession = null;
+      }
+      if (null != cameraDevice) {
+        cameraDevice.close();
+        cameraDevice = null;
+      }
+      if (null != imageReader) {
+        imageReader.close();
+        imageReader = null;
+      }
+    } catch (InterruptedException e) {
+      throw new RuntimeException("Interrupted while trying to lock camera closing.", e);
+    } finally {
+      cameraOpenCloseLock.release();
+    }
+  }
+
+  /** Starts a background thread and its {@link Handler}. */
+  private void startBackgroundThread() {
+    backgroundThread = new HandlerThread(HANDLE_THREAD_NAME);
+    backgroundThread.start();
+    backgroundHandler = new Handler(backgroundThread.getLooper());
+    // Start the classification train & load an initial model.
+    synchronized (lock) {
+      runClassifier = true;
+    }
+    backgroundHandler.post(periodicClassify);
+    updateActiveModel();
+  }
+
+  /** Stops the background thread and its {@link Handler}. */
+  private void stopBackgroundThread() {
+    backgroundThread.quitSafely();
+    try {
+      backgroundThread.join();
+      backgroundThread = null;
+      backgroundHandler = null;
+      synchronized (lock) {
+        runClassifier = false;
+      }
+    } catch (InterruptedException e) {
+      Log.e(TAG, "Interrupted when stopping background thread", e);
+    }
+  }
+
+  /** Takes photos and classify them periodically. */
+  private Runnable periodicClassify =
+      new Runnable() {
+        @Override
+        public void run() {
+          synchronized (lock) {
+            if (runClassifier) {
+              classifyFrame();
+            }
+          }
+          backgroundHandler.post(periodicClassify);
+        }
+      };
+
+  /** Creates a new {@link CameraCaptureSession} for camera preview. */
+  private void createCameraPreviewSession() {
+    try {
+      SurfaceTexture texture = textureView.getSurfaceTexture();
+      assert texture != null;
+
+      // We configure the size of default buffer to be the size of camera preview we want.
+      texture.setDefaultBufferSize(previewSize.getWidth(), previewSize.getHeight());
+
+      // This is the output Surface we need to start preview.
+      Surface surface = new Surface(texture);
+
+      // We set up a CaptureRequest.Builder with the output Surface.
+      previewRequestBuilder = cameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW);
+      previewRequestBuilder.addTarget(surface);
+
+      // Here, we create a CameraCaptureSession for camera preview.
+      cameraDevice.createCaptureSession(
+          Arrays.asList(surface),
+          new CameraCaptureSession.StateCallback() {
+
+            @Override
+            public void onConfigured(@NonNull CameraCaptureSession cameraCaptureSession) {
+              // The camera is already closed
+              if (null == cameraDevice) {
+                return;
+              }
+
+              // When the session is ready, we start displaying the preview.
+              captureSession = cameraCaptureSession;
+              try {
+                // Auto focus should be continuous for camera preview.
+                previewRequestBuilder.set(
+                    CaptureRequest.CONTROL_AF_MODE,
+                    CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE);
+
+                // Finally, we start displaying the camera preview.
+                previewRequest = previewRequestBuilder.build();
+                captureSession.setRepeatingRequest(
+                    previewRequest, captureCallback, backgroundHandler);
+              } catch (CameraAccessException e) {
+                Log.e(TAG, "Failed to set up config to capture Camera", e);
+              }
+            }
+
+            @Override
+            public void onConfigureFailed(@NonNull CameraCaptureSession cameraCaptureSession) {
+              showToast("Failed");
+            }
+          },
+          null);
+    } catch (CameraAccessException e) {
+      Log.e(TAG, "Failed to preview Camera", e);
+    }
+  }
+
+  /**
+   * Configures the necessary {@link android.graphics.Matrix} transformation to `textureView`. This
+   * method should be called after the camera preview size is determined in setUpCameraOutputs and
+   * also the size of `textureView` is fixed.
+   *
+   * @param viewWidth The width of `textureView`
+   * @param viewHeight The height of `textureView`
+   */
+  private void configureTransform(int viewWidth, int viewHeight) {
+    Activity activity = getActivity();
+    if (null == textureView || null == previewSize || null == activity) {
+      return;
+    }
+    int rotation = activity.getWindowManager().getDefaultDisplay().getRotation();
+    Matrix matrix = new Matrix();
+    RectF viewRect = new RectF(0, 0, viewWidth, viewHeight);
+    RectF bufferRect = new RectF(0, 0, previewSize.getHeight(), previewSize.getWidth());
+    float centerX = viewRect.centerX();
+    float centerY = viewRect.centerY();
+    if (Surface.ROTATION_90 == rotation || Surface.ROTATION_270 == rotation) {
+      bufferRect.offset(centerX - bufferRect.centerX(), centerY - bufferRect.centerY());
+      matrix.setRectToRect(viewRect, bufferRect, Matrix.ScaleToFit.FILL);
+      float scale =
+          Math.max(
+              (float) viewHeight / previewSize.getHeight(),
+              (float) viewWidth / previewSize.getWidth());
+      matrix.postScale(scale, scale, centerX, centerY);
+      matrix.postRotate(90 * (rotation - 2), centerX, centerY);
+    } else if (Surface.ROTATION_180 == rotation) {
+      matrix.postRotate(180, centerX, centerY);
+    }
+    textureView.setTransform(matrix);
+  }
+
+  /** Classifies a frame from the preview stream. */
+  private void classifyFrame() {
+    if (classifier == null || getActivity() == null || cameraDevice == null) {
+      // It's important to not call showToast every frame, or else the app will starve and
+      // hang. updateActiveModel() already puts an error message up with showToast.
+      // showToast("Uninitialized Classifier or invalid context.");
+      return;
+    }
+    SpannableStringBuilder textToShow = new SpannableStringBuilder();
+    Bitmap bitmap = textureView.getBitmap(classifier.getImageSizeX(), classifier.getImageSizeY());
+    classifier.classifyFrame(bitmap, textToShow);
+    bitmap.recycle();
+    showToast(textToShow);
+  }
+
+  /** Compares two {@code Size}s based on their areas. */
+  private static class CompareSizesByArea implements Comparator<Size> {
+
+    @Override
+    public int compare(Size lhs, Size rhs) {
+      // We cast here to ensure the multiplications won't overflow
+      return Long.signum(
+          (long) lhs.getWidth() * lhs.getHeight() - (long) rhs.getWidth() * rhs.getHeight());
+    }
+  }
+
+  /** Shows an error message dialog. */
+  public static class ErrorDialog extends DialogFragment {
+
+    private static final String ARG_MESSAGE = "message";
+
+    public static ErrorDialog newInstance(String message) {
+      ErrorDialog dialog = new ErrorDialog();
+      Bundle args = new Bundle();
+      args.putString(ARG_MESSAGE, message);
+      dialog.setArguments(args);
+      return dialog;
+    }
+
+    @Override
+    public Dialog onCreateDialog(Bundle savedInstanceState) {
+      final Activity activity = getActivity();
+      return new AlertDialog.Builder(activity)
+          .setMessage(getArguments().getString(ARG_MESSAGE))
+          .setPositiveButton(
+              android.R.string.ok,
+              new DialogInterface.OnClickListener() {
+                @Override
+                public void onClick(DialogInterface dialogInterface, int i) {
+                  activity.finish();
+                }
+              })
+          .create();
+    }
+  }
+}

tensorflow/lite/java/demo/app/src/main/java/com/example/android/tflitecamerademo/CameraActivity.java

@@ -0,0 +1,35 @@
+/* Copyright 2017 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 com.example.android.tflitecamerademo;
+
+import android.app.Activity;
+import android.os.Bundle;
+
+/** Main {@code Activity} class for the Camera app. */
+public class CameraActivity extends Activity {
+
+  @Override
+  protected void onCreate(Bundle savedInstanceState) {
+    super.onCreate(savedInstanceState);
+    setContentView(R.layout.activity_camera);
+    if (null == savedInstanceState) {
+      getFragmentManager()
+          .beginTransaction()
+          .replace(R.id.container, Camera2BasicFragment.newInstance())
+          .commit();
+    }
+  }
+}

tensorflow/lite/java/demo/app/src/main/java/com/example/android/tflitecamerademo/ImageClassifier.java

@@ -0,0 +1,373 @@
+/* Copyright 2017 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 com.example.android.tflitecamerademo;
+
+import android.app.Activity;
+import android.content.res.AssetFileDescriptor;
+import android.graphics.Bitmap;
+import android.os.SystemClock;
+import android.text.SpannableString;
+import android.text.SpannableStringBuilder;
+import android.text.style.ForegroundColorSpan;
+import android.text.style.RelativeSizeSpan;
+import android.util.Log;
+import java.io.BufferedReader;
+import java.io.FileInputStream;
+import java.io.IOException;
+import java.io.InputStreamReader;
+import java.nio.ByteBuffer;
+import java.nio.ByteOrder;
+import java.nio.MappedByteBuffer;
+import java.nio.channels.FileChannel;
+import java.util.AbstractMap;
+import java.util.ArrayList;
+import java.util.Comparator;
+import java.util.List;
+import java.util.Map;
+import java.util.PriorityQueue;
+import org.tensorflow.lite.Interpreter;
+import org.tensorflow.lite.gpu.GpuDelegate;
+import org.tensorflow.lite.nnapi.NnApiDelegate;
+
+/**
+ * Classifies images with Tensorflow Lite.
+ */
+public abstract class ImageClassifier {
+  // Display preferences
+  private static final float GOOD_PROB_THRESHOLD = 0.3f;
+  private static final int SMALL_COLOR = 0xffddaa88;
+
+  /** Tag for the {@link Log}. */
+  private static final String TAG = "TfLiteCameraDemo";
+
+  /** Number of results to show in the UI. */
+  private static final int RESULTS_TO_SHOW = 3;
+
+  /** Dimensions of inputs. */
+  private static final int DIM_BATCH_SIZE = 1;
+
+  private static final int DIM_PIXEL_SIZE = 3;
+
+  /** Preallocated buffers for storing image data in. */
+  private int[] intValues = new int[getImageSizeX() * getImageSizeY()];
+
+  /** Options for configuring the Interpreter. */
+  private final Interpreter.Options tfliteOptions = new Interpreter.Options();
+
+  /** The loaded TensorFlow Lite model. */
+  private MappedByteBuffer tfliteModel;
+
+  /** An instance of the driver class to run model inference with Tensorflow Lite. */
+  protected Interpreter tflite;
+
+  /** Labels corresponding to the output of the vision model. */
+  private List<String> labelList;
+
+  /** A ByteBuffer to hold image data, to be feed into Tensorflow Lite as inputs. */
+  protected ByteBuffer imgData = null;
+
+  /** multi-stage low pass filter * */
+  private float[][] filterLabelProbArray = null;
+
+  private static final int FILTER_STAGES = 3;
+  private static final float FILTER_FACTOR = 0.4f;
+
+  private PriorityQueue<Map.Entry<String, Float>> sortedLabels =
+      new PriorityQueue<>(
+          RESULTS_TO_SHOW,
+          new Comparator<Map.Entry<String, Float>>() {
+            @Override
+            public int compare(Map.Entry<String, Float> o1, Map.Entry<String, Float> o2) {
+              return (o1.getValue()).compareTo(o2.getValue());
+            }
+          });
+
+  /** holds a gpu delegate */
+  GpuDelegate gpuDelegate = null;
+  /** holds an nnapi delegate */
+  NnApiDelegate nnapiDelegate = null;
+
+  /** Initializes an {@code ImageClassifier}. */
+  ImageClassifier(Activity activity) throws IOException {
+    tfliteModel = loadModelFile(activity);
+    tflite = new Interpreter(tfliteModel, tfliteOptions);
+    labelList = loadLabelList(activity);
+    imgData =
+        ByteBuffer.allocateDirect(
+            DIM_BATCH_SIZE
+                * getImageSizeX()
+                * getImageSizeY()
+                * DIM_PIXEL_SIZE
+                * getNumBytesPerChannel());
+    imgData.order(ByteOrder.nativeOrder());
+    filterLabelProbArray = new float[FILTER_STAGES][getNumLabels()];
+    Log.d(TAG, "Created a Tensorflow Lite Image Classifier.");
+  }
+
+  /** Classifies a frame from the preview stream. */
+  void classifyFrame(Bitmap bitmap, SpannableStringBuilder builder) {
+    if (tflite == null) {
+      Log.e(TAG, "Image classifier has not been initialized; Skipped.");
+      builder.append(new SpannableString("Uninitialized Classifier."));
+    }
+    convertBitmapToByteBuffer(bitmap);
+    // Here's where the magic happens!!!
+    long startTime = SystemClock.uptimeMillis();
+    runInference();
+    long endTime = SystemClock.uptimeMillis();
+    Log.d(TAG, "Timecost to run model inference: " + Long.toString(endTime - startTime));
+
+    // Smooth the results across frames.
+    applyFilter();
+
+    // Print the results.
+    printTopKLabels(builder);
+    long duration = endTime - startTime;
+    SpannableString span = new SpannableString(duration + " ms");
+    span.setSpan(new ForegroundColorSpan(android.graphics.Color.LTGRAY), 0, span.length(), 0);
+    builder.append(span);
+  }
+
+  void applyFilter() {
+    int numLabels = getNumLabels();
+
+    // Low pass filter `labelProbArray` into the first stage of the filter.
+    for (int j = 0; j < numLabels; ++j) {
+      filterLabelProbArray[0][j] +=
+          FILTER_FACTOR * (getProbability(j) - filterLabelProbArray[0][j]);
+    }
+    // Low pass filter each stage into the next.
+    for (int i = 1; i < FILTER_STAGES; ++i) {
+      for (int j = 0; j < numLabels; ++j) {
+        filterLabelProbArray[i][j] +=
+            FILTER_FACTOR * (filterLabelProbArray[i - 1][j] - filterLabelProbArray[i][j]);
+      }
+    }
+
+    // Copy the last stage filter output back to `labelProbArray`.
+    for (int j = 0; j < numLabels; ++j) {
+      setProbability(j, filterLabelProbArray[FILTER_STAGES - 1][j]);
+    }
+  }
+
+  private void recreateInterpreter() {
+    if (tflite != null) {
+      tflite.close();
+      tflite = new Interpreter(tfliteModel, tfliteOptions);
+    }
+  }
+
+  public void useGpu() {
+    if (gpuDelegate == null) {
+      GpuDelegate.Options options = new GpuDelegate.Options();
+      options.setQuantizedModelsAllowed(true);
+
+      gpuDelegate = new GpuDelegate(options);
+      tfliteOptions.addDelegate(gpuDelegate);
+      recreateInterpreter();
+    }
+  }
+
+  public void useCPU() {
+    recreateInterpreter();
+  }
+
+  public void useNNAPI() {
+    nnapiDelegate = new NnApiDelegate();
+    tfliteOptions.addDelegate(nnapiDelegate);
+    recreateInterpreter();
+  }
+
+  public void setNumThreads(int numThreads) {
+    tfliteOptions.setNumThreads(numThreads);
+    recreateInterpreter();
+  }
+
+  /** Closes tflite to release resources. */
+  public void close() {
+    tflite.close();
+    tflite = null;
+    if (gpuDelegate != null) {
+      gpuDelegate.close();
+      gpuDelegate = null;
+    }
+    if (nnapiDelegate != null) {
+      nnapiDelegate.close();
+      nnapiDelegate = null;
+    }
+    tfliteModel = null;
+  }
+
+  /** Reads label list from Assets. */
+  private List<String> loadLabelList(Activity activity) throws IOException {
+    List<String> labelList = new ArrayList<String>();
+    BufferedReader reader =
+        new BufferedReader(new InputStreamReader(activity.getAssets().open(getLabelPath())));
+    String line;
+    while ((line = reader.readLine()) != null) {
+      labelList.add(line);
+    }
+    reader.close();
+    return labelList;
+  }
+
+  /** Memory-map the model file in Assets. */
+  private MappedByteBuffer loadModelFile(Activity activity) throws IOException {
+    AssetFileDescriptor fileDescriptor = activity.getAssets().openFd(getModelPath());
+    FileInputStream inputStream = new FileInputStream(fileDescriptor.getFileDescriptor());
+    FileChannel fileChannel = inputStream.getChannel();
+    long startOffset = fileDescriptor.getStartOffset();
+    long declaredLength = fileDescriptor.getDeclaredLength();
+    return fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLength);
+  }
+
+  /** Writes Image data into a {@code ByteBuffer}. */
+  private void convertBitmapToByteBuffer(Bitmap bitmap) {
+    if (imgData == null) {
+      return;
+    }
+    imgData.rewind();
+    bitmap.getPixels(intValues, 0, bitmap.getWidth(), 0, 0, bitmap.getWidth(), bitmap.getHeight());
+    // Convert the image to floating point.
+    int pixel = 0;
+    long startTime = SystemClock.uptimeMillis();
+    for (int i = 0; i < getImageSizeX(); ++i) {
+      for (int j = 0; j < getImageSizeY(); ++j) {
+        final int val = intValues[pixel++];
+        addPixelValue(val);
+      }
+    }
+    long endTime = SystemClock.uptimeMillis();
+    Log.d(TAG, "Timecost to put values into ByteBuffer: " + Long.toString(endTime - startTime));
+  }
+
+  /** Prints top-K labels, to be shown in UI as the results. */
+  private void printTopKLabels(SpannableStringBuilder builder) {
+    for (int i = 0; i < getNumLabels(); ++i) {
+      sortedLabels.add(
+          new AbstractMap.SimpleEntry<>(labelList.get(i), getNormalizedProbability(i)));
+      if (sortedLabels.size() > RESULTS_TO_SHOW) {
+        sortedLabels.poll();
+      }
+    }
+
+    final int size = sortedLabels.size();
+    for (int i = 0; i < size; i++) {
+      Map.Entry<String, Float> label = sortedLabels.poll();
+      SpannableString span =
+          new SpannableString(String.format("%s: %4.2f\n", label.getKey(), label.getValue()));
+      int color;
+      // Make it white when probability larger than threshold.
+      if (label.getValue() > GOOD_PROB_THRESHOLD) {
+        color = android.graphics.Color.WHITE;
+      } else {
+        color = SMALL_COLOR;
+      }
+      // Make first item bigger.
+      if (i == size - 1) {
+        float sizeScale = (i == size - 1) ? 1.25f : 0.8f;
+        span.setSpan(new RelativeSizeSpan(sizeScale), 0, span.length(), 0);
+      }
+      span.setSpan(new ForegroundColorSpan(color), 0, span.length(), 0);
+      builder.insert(0, span);
+    }
+  }
+
+  /**
+   * Get the name of the model file stored in Assets.
+   *
+   * @return
+   */
+  protected abstract String getModelPath();
+
+  /**
+   * Get the name of the label file stored in Assets.
+   *
+   * @return
+   */
+  protected abstract String getLabelPath();
+
+  /**
+   * Get the image size along the x axis.
+   *
+   * @return
+   */
+  protected abstract int getImageSizeX();
+
+  /**
+   * Get the image size along the y axis.
+   *
+   * @return
+   */
+  protected abstract int getImageSizeY();
+
+  /**
+   * Get the number of bytes that is used to store a single color channel value.
+   *
+   * @return
+   */
+  protected abstract int getNumBytesPerChannel();
+
+  /**
+   * Add pixelValue to byteBuffer.
+   *
+   * @param pixelValue
+   */
+  protected abstract void addPixelValue(int pixelValue);
+
+  /**
+   * Read the probability value for the specified label This is either the original value as it was
+   * read from the net's output or the updated value after the filter was applied.
+   *
+   * @param labelIndex
+   * @return
+   */
+  protected abstract float getProbability(int labelIndex);
+
+  /**
+   * Set the probability value for the specified label.
+   *
+   * @param labelIndex
+   * @param value
+   */
+  protected abstract void setProbability(int labelIndex, Number value);
+
+  /**
+   * Get the normalized probability value for the specified label. This is the final value as it
+   * will be shown to the user.
+   *
+   * @return
+   */
+  protected abstract float getNormalizedProbability(int labelIndex);
+
+  /**
+   * Run inference using the prepared input in {@link #imgData}. Afterwards, the result will be
+   * provided by getProbability().
+   *
+   * <p>This additional method is necessary, because we don't have a common base for different
+   * primitive data types.
+   */
+  protected abstract void runInference();
+
+  /**
+   * Get the total number of labels.
+   *
+   * @return
+   */
+  protected int getNumLabels() {
+    return labelList.size();
+  }
+}

tensorflow/lite/java/demo/app/src/main/java/com/example/android/tflitecamerademo/ImageClassifierFloatInception.java

@@ -0,0 +1,105 @@
+/* Copyright 2017 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 com.example.android.tflitecamerademo;
+
+import android.app.Activity;
+
+import java.io.IOException;
+
+/**
+ * This classifier works with the Inception-v3 slim model.
+ * It applies floating point inference rather than using a quantized model.
+ */
+public class ImageClassifierFloatInception extends ImageClassifier {
+
+  /**
+   * The inception net requires additional normalization of the used input.
+   */
+  private static final int IMAGE_MEAN = 128;
+  private static final float IMAGE_STD = 128.0f;
+
+  /**
+   * An array to hold inference results, to be feed into Tensorflow Lite as outputs.
+   * This isn't part of the super class, because we need a primitive array here.
+   */
+  private float[][] labelProbArray = null;
+
+  /**
+   * Initializes an {@code ImageClassifier}.
+   *
+   * @param activity
+   */
+  ImageClassifierFloatInception(Activity activity) throws IOException {
+    super(activity);
+    labelProbArray = new float[1][getNumLabels()];
+  }
+
+  @Override
+  protected String getModelPath() {
+    // you can download this file from
+    // https://storage.googleapis.com/download.tensorflow.org/models/tflite/inception_v3_slim_2016_android_2017_11_10.zip
+    return "inceptionv3_slim_2016.tflite";
+  }
+
+  @Override
+  protected String getLabelPath() {
+    return "labels_imagenet_slim.txt";
+  }
+
+  @Override
+  protected int getImageSizeX() {
+    return 299;
+  }
+
+  @Override
+  protected int getImageSizeY() {
+    return 299;
+  }
+
+  @Override
+  protected int getNumBytesPerChannel() {
+    // a 32bit float value requires 4 bytes
+    return 4;
+  }
+
+  @Override
+  protected void addPixelValue(int pixelValue) {
+    imgData.putFloat((((pixelValue >> 16) & 0xFF) - IMAGE_MEAN) / IMAGE_STD);
+    imgData.putFloat((((pixelValue >> 8) & 0xFF) - IMAGE_MEAN) / IMAGE_STD);
+    imgData.putFloat(((pixelValue & 0xFF) - IMAGE_MEAN) / IMAGE_STD);
+  }
+
+  @Override
+  protected float getProbability(int labelIndex) {
+    return labelProbArray[0][labelIndex];
+  }
+
+  @Override
+  protected void setProbability(int labelIndex, Number value) {
+    labelProbArray[0][labelIndex] = value.floatValue();
+  }
+
+  @Override
+  protected float getNormalizedProbability(int labelIndex) {
+    // TODO the following value isn't in [0,1] yet, but may be greater. Why?
+    return getProbability(labelIndex);
+  }
+
+  @Override
+  protected void runInference() {
+    tflite.run(imgData, labelProbArray);
+  }
+}

tensorflow/lite/java/demo/app/src/main/java/com/example/android/tflitecamerademo/ImageClassifierFloatMobileNet.java

@@ -0,0 +1,99 @@
+/* Copyright 2018 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 com.example.android.tflitecamerademo;
+
+import android.app.Activity;
+import java.io.IOException;
+
+/** This classifier works with the float MobileNet model. */
+public class ImageClassifierFloatMobileNet extends ImageClassifier {
+
+  /** The mobile net requires additional normalization of the used input. */
+  private static final float IMAGE_MEAN = 127.5f;
+
+  private static final float IMAGE_STD = 127.5f;
+
+  /**
+   * An array to hold inference results, to be feed into Tensorflow Lite as outputs. This isn't part
+   * of the super class, because we need a primitive array here.
+   */
+  private float[][] labelProbArray = null;
+
+  /**
+   * Initializes an {@code ImageClassifierFloatMobileNet}.
+   *
+   * @param activity
+   */
+  ImageClassifierFloatMobileNet(Activity activity) throws IOException {
+    super(activity);
+    labelProbArray = new float[1][getNumLabels()];
+  }
+
+  @Override
+  protected String getModelPath() {
+    // you can download this file from
+    // see build.gradle for where to obtain this file. It should be auto
+    // downloaded into assets.
+    return "mobilenet_v1_1.0_224.tflite";
+  }
+
+  @Override
+  protected String getLabelPath() {
+    return "labels_mobilenet_quant_v1_224.txt";
+  }
+
+  @Override
+  protected int getImageSizeX() {
+    return 224;
+  }
+
+  @Override
+  protected int getImageSizeY() {
+    return 224;
+  }
+
+  @Override
+  protected int getNumBytesPerChannel() {
+    return 4; // Float.SIZE / Byte.SIZE;
+  }
+
+  @Override
+  protected void addPixelValue(int pixelValue) {
+    imgData.putFloat((((pixelValue >> 16) & 0xFF) - IMAGE_MEAN) / IMAGE_STD);
+    imgData.putFloat((((pixelValue >> 8) & 0xFF) - IMAGE_MEAN) / IMAGE_STD);
+    imgData.putFloat(((pixelValue & 0xFF) - IMAGE_MEAN) / IMAGE_STD);
+  }
+
+  @Override
+  protected float getProbability(int labelIndex) {
+    return labelProbArray[0][labelIndex];
+  }
+
+  @Override
+  protected void setProbability(int labelIndex, Number value) {
+    labelProbArray[0][labelIndex] = value.floatValue();
+  }
+
+  @Override
+  protected float getNormalizedProbability(int labelIndex) {
+    return labelProbArray[0][labelIndex];
+  }
+
+  @Override
+  protected void runInference() {
+    tflite.run(imgData, labelProbArray);
+  }
+}

tensorflow/lite/java/demo/app/src/main/java/com/example/android/tflitecamerademo/ImageClassifierQuantizedMobileNet.java

@@ -0,0 +1,97 @@
+/* Copyright 2017 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 com.example.android.tflitecamerademo;
+
+import android.app.Activity;
+import java.io.IOException;
+
+/**
+ * This classifier works with the quantized MobileNet model.
+ */
+public class ImageClassifierQuantizedMobileNet extends ImageClassifier {
+
+  /**
+   * An array to hold inference results, to be feed into Tensorflow Lite as outputs.
+   * This isn't part of the super class, because we need a primitive array here.
+   */
+  private byte[][] labelProbArray = null;
+
+  /**
+   * Initializes an {@code ImageClassifier}.
+   *
+   * @param activity
+   */
+  ImageClassifierQuantizedMobileNet(Activity activity) throws IOException {
+    super(activity);
+    labelProbArray = new byte[1][getNumLabels()];
+  }
+
+  @Override
+  protected String getModelPath() {
+    // you can download this file from
+    // see build.gradle for where to obtain this file. It should be auto
+    // downloaded into assets.
+    return "mobilenet_v1_1.0_224_quant.tflite";
+  }
+
+  @Override
+  protected String getLabelPath() {
+    return "labels_mobilenet_quant_v1_224.txt";
+  }
+
+  @Override
+  protected int getImageSizeX() {
+    return 224;
+  }
+
+  @Override
+  protected int getImageSizeY() {
+    return 224;
+  }
+
+  @Override
+  protected int getNumBytesPerChannel() {
+    // the quantized model uses a single byte only
+    return 1;
+  }
+
+  @Override
+  protected void addPixelValue(int pixelValue) {
+    imgData.put((byte) ((pixelValue >> 16) & 0xFF));
+    imgData.put((byte) ((pixelValue >> 8) & 0xFF));
+    imgData.put((byte) (pixelValue & 0xFF));
+  }
+
+  @Override
+  protected float getProbability(int labelIndex) {
+    return labelProbArray[0][labelIndex];
+  }
+
+  @Override
+  protected void setProbability(int labelIndex, Number value) {
+    labelProbArray[0][labelIndex] = value.byteValue();
+  }
+
+  @Override
+  protected float getNormalizedProbability(int labelIndex) {
+    return (labelProbArray[0][labelIndex] & 0xff) / 255.0f;
+  }
+
+  @Override
+  protected void runInference() {
+    tflite.run(imgData, labelProbArray);
+  }
+}

tensorflow/lite/java/demo/app/src/main/res/drawable/item_selector.xml

@@ -0,0 +1,11 @@
+<?xml version="1.0" encoding="utf-8"?>
+<selector xmlns:android="http://schemas.android.com/apk/res/android">
+
+    <!-- pressed -->
+    <item android:drawable="@color/selection_highlight" android:state_pressed="true" />
+    <!-- focused -->
+    <item android:drawable="@color/selection_focus" android:state_activated="true" />
+    <!-- default -->
+    <item android:drawable="@color/item_normal" />
+
+</selector>

tensorflow/lite/java/demo/app/src/main/res/layout-land/fragment_camera2_basic.xml

@@ -0,0 +1,118 @@
+<?xml version="1.0" encoding="utf-8"?><!--
+ Copyright 2014 The Android Open Source Project
+
+ 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.
+-->
+
+<LinearLayout
+    xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:tools="http://schemas.android.com/tools" android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:background="#bb7700"
+    android:orientation="horizontal">
+
+    <com.example.android.tflitecamerademo.AutoFitTextureView
+      android:id="@+id/texture"
+      android:layout_width="0dp"
+      android:layout_height="match_parent"
+      android:layout_weight=".8"/>
+
+    <LinearLayout
+      android:layout_width="0dp"
+      android:layout_height="match_parent"
+      android:layout_weight=".2"
+      android:orientation="vertical">
+
+        <ImageView
+            android:id="@+id/logoview"
+            android:layout_width="wrap_content"
+            android:layout_height="47dp"
+            android:scaleType="centerInside"
+            android:src="@drawable/logo"/>
+
+        <TextView
+            android:id="@+id/text"
+            android:layout_width="match_parent"
+            android:layout_height="160dp"
+            android:paddingTop="20dp"
+            android:textColor="#FFF"
+            android:textSize="20sp"
+            android:textStyle="bold"/>
+        <LinearLayout
+            android:id="@+id/modelLayout"
+            android:layout_width="match_parent"
+            android:layout_height="150dp"
+            android:orientation="vertical">
+
+            <TextView
+                android:id="@+id/textView"
+                android:layout_width="match_parent"
+                android:layout_height="20dp"
+                android:text="@string/modelLabel"
+                android:textAlignment="center"
+                android:textColor="@android:color/white"/>
+
+            <ListView
+                android:id="@+id/model"
+                android:layout_width="match_parent"
+                android:layout_height="wrap_content">
+
+            </ListView>
+        </LinearLayout>
+        <LinearLayout
+            android:id="@+id/deviceLayout"
+            android:layout_width="match_parent"
+            android:layout_height="150dp"
+            android:orientation="vertical">
+
+            <TextView
+                android:id="@+id/textView2"
+                android:layout_width="match_parent"
+                android:layout_height="20dp"
+                android:text="@string/deviceLabel"
+                android:textAlignment="center"
+                android:textColor="@android:color/white"/>
+
+            <ListView
+                android:id="@+id/device"
+                android:layout_width="match_parent"
+                android:layout_height="wrap_content"/>
+
+        </LinearLayout>
+
+        <LinearLayout
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+        >
+
+            <TextView
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:gravity="center"
+                android:text="Threads"
+                android:textAlignment="center"
+                android:textColor="@android:color/white"/>
+
+            <NumberPicker
+                android:id="@+id/np"
+                android:layout_width="match_parent"
+                android:layout_height="wrap_content"
+                android:layout_marginLeft="10dp"
+                android:theme="@style/AppTheme.Picker"
+                android:visibility="visible"/>
+
+        </LinearLayout>
+
+    </LinearLayout>
+</LinearLayout>
+

tensorflow/lite/java/demo/app/src/main/res/layout-v26/fragment_camera2_basic.xml

@@ -0,0 +1,140 @@
+<?xml version="1.0" encoding="utf-8"?><!--
+ Copyright 2014 The Android Open Source Project
+
+ 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.
+-->
+<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:app="http://schemas.android.com/apk/res-auto"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:background="#bb7700">
+
+    <com.example.android.tflitecamerademo.AutoFitTextureView
+        android:id="@+id/texture"
+        android:layout_width="match_parent"
+        android:layout_height="match_parent"
+        android:layout_weight="1" />
+
+    <LinearLayout
+        android:layout_width="wrap_content"
+        android:layout_height="wrap_content"
+        android:layout_above="@+id/bottom_info_view"
+        android:layout_alignParentEnd="false"
+        android:layout_alignParentStart="true"
+        android:layout_alignParentTop="false"
+        android:background="#bb7700"
+        android:orientation="vertical"
+        android:weightSum="100">
+
+        <ImageView
+            android:id="@+id/logoview2"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_weight="30"
+            android:scaleType="fitStart"
+            android:src="@drawable/logo" />
+
+        <TextView
+            android:id="@+id/text"
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:layout_alignParentBottom="true"
+            android:layout_alignParentEnd="true"
+            android:layout_alignParentRight="true"
+            android:layout_weight="30"
+            android:textColor="#FFF"
+            android:textSize="20sp"
+            android:textStyle="bold" />
+
+    </LinearLayout>
+
+    <LinearLayout
+        android:id="@+id/bottom_info_view"
+        android:layout_width="match_parent"
+        android:layout_height="200dp"
+
+        android:layout_alignParentBottom="true"
+        android:layout_marginBottom="10dp"
+        android:background="#513400"
+        android:orientation="horizontal">
+
+        <LinearLayout
+            android:layout_width="wrap_content"
+            android:layout_height="match_parent"
+            android:orientation="vertical">
+
+            <TextView
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:gravity="center"
+                android:text="Threads"
+                android:textAlignment="center"
+                android:textColor="@android:color/white" />
+
+            <NumberPicker
+                android:id="@+id/np"
+                android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+                android:layout_marginLeft="10dp"
+                android:theme="@style/AppTheme.Picker"
+                android:visibility="visible" />
+
+        </LinearLayout>
+
+        <LinearLayout
+            android:id="@+id/modelLayout"
+            android:layout_width="150dp"
+            android:layout_height="match_parent"
+            android:orientation="vertical">
+
+            <TextView
+                android:id="@+id/textView"
+                android:layout_width="match_parent"
+                android:layout_height="20dp"
+                android:text="@string/modelLabel"
+                android:textAlignment="center"
+                android:textColor="@android:color/white" />
+
+            <ListView
+                android:id="@+id/model"
+                android:layout_width="match_parent"
+                android:layout_height="180dp">
+
+            </ListView>
+        </LinearLayout>
+
+        <LinearLayout
+            android:id="@+id/deviceLayout"
+            android:layout_width="140dp"
+            android:layout_height="match_parent"
+            android:orientation="vertical">
+
+            <TextView
+                android:id="@+id/textView2"
+                android:layout_width="match_parent"
+                android:layout_height="20dp"
+                android:text="@string/deviceLabel"
+                android:textAlignment="center"
+                android:textColor="@android:color/white" />
+
+            <ListView
+                android:id="@+id/device"
+                android:layout_width="match_parent"
+                android:layout_height="180dp" />
+
+        </LinearLayout>
+
+    </LinearLayout>
+
+
+</RelativeLayout>

tensorflow/lite/java/demo/app/src/main/res/layout/activity_camera.xml

@@ -0,0 +1,22 @@
+<?xml version="1.0" encoding="utf-8"?><!--
+ Copyright 2014 The Android Open Source Project
+
+ 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.
+-->
+<FrameLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:tools="http://schemas.android.com/tools"
+    android:id="@+id/container"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:background="#000"
+    tools:context="com.example.android.tflitecamerademo.CameraActivity" />

tensorflow/lite/java/demo/app/src/main/res/layout/fragment_camera2_basic.xml

@@ -0,0 +1,138 @@
+<?xml version="1.0" encoding="utf-8"?><!--
+ Copyright 2014 The Android Open Source Project
+
+ 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.
+-->
+<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:app="http://schemas.android.com/apk/res-auto"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:background="#bb7700">
+
+    <com.example.android.tflitecamerademo.AutoFitTextureView
+        android:id="@+id/texture"
+        android:layout_width="match_parent"
+        android:layout_height="match_parent"
+        android:layout_weight="1" />
+
+    <LinearLayout
+        android:layout_width="wrap_content"
+        android:layout_height="wrap_content"
+        android:layout_above="@+id/bottom_info_view"
+        android:layout_alignParentEnd="false"
+        android:layout_alignParentStart="true"
+        android:layout_alignParentTop="false"
+        android:background="#bb7700"
+        android:orientation="vertical"
+        android:weightSum="100">
+
+        <ImageView
+            android:id="@+id/logoview2"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_weight="30"
+            android:scaleType="fitStart"
+            android:src="@drawable/logo" />
+
+        <TextView
+            android:id="@+id/text"
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:layout_alignParentBottom="true"
+            android:layout_alignParentEnd="true"
+            android:layout_alignParentRight="true"
+            android:layout_weight="30"
+            android:textColor="#FFF"
+            android:textSize="20sp"
+            android:textStyle="bold" />
+
+    </LinearLayout>
+
+    <LinearLayout
+        android:id="@+id/bottom_info_view"
+        android:layout_width="match_parent"
+        android:layout_height="200dp"
+
+        android:layout_alignParentBottom="true"
+        android:layout_marginBottom="10dp"
+        android:background="#513400"
+        android:orientation="horizontal">
+
+      <LinearLayout
+            android:layout_width="wrap_content"
+            android:layout_height="match_parent"
+            android:orientation="vertical">
+
+        <TextView
+            android:layout_width="wrap_content"
+                android:layout_height="wrap_content"
+            android:gravity="center"
+                android:text="Threads"
+            android:textAlignment="center"
+            android:textColor="@android:color/white" />
+
+        <NumberPicker
+            android:id="@+id/np"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_marginLeft="10dp"
+            android:theme="@style/AppTheme.Picker"
+            android:visibility="visible" />
+
+        </LinearLayout>
+
+        <LinearLayout
+            android:id="@+id/modelLayout"
+            android:layout_width="150dp"
+            android:layout_height="match_parent"
+            android:orientation="vertical">
+
+            <TextView
+                android:id="@+id/textView"
+                android:layout_width="match_parent"
+                android:layout_height="20dp"
+                android:text="@string/modelLabel"
+                android:textAlignment="center"
+                android:textColor="@android:color/white" />
+
+            <ListView
+                android:id="@+id/model"
+                android:layout_width="match_parent"
+                android:layout_height="180dp">
+
+            </ListView>
+        </LinearLayout>
+
+        <LinearLayout
+            android:id="@+id/deviceLayout"
+            android:layout_width="140dp"
+            android:layout_height="match_parent"
+            android:orientation="vertical">
+
+            <TextView
+                android:id="@+id/textView2"
+                android:layout_width="match_parent"
+                android:layout_height="20dp"
+                android:text="@string/deviceLabel"
+                android:textAlignment="center"
+                android:textColor="@android:color/white" />
+
+            <ListView
+                android:id="@+id/device"
+                android:layout_width="match_parent"
+                android:layout_height="180dp" />
+
+        </LinearLayout>
+
+    </LinearLayout>
+</RelativeLayout>

tensorflow/lite/java/demo/app/src/main/res/layout/listview_row.xml

@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="utf-8"?>
+<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent">
+
+
+    <TextView
+        android:id="@+id/listview_row_text"
+        android:layout_width="match_parent"
+        android:layout_height="match_parent"
+        android:layout_marginRight="2dp"
+        android:background="@drawable/item_selector"
+        android:padding="10dp"
+        android:textSize="18sp"
+        android:textStyle="bold" />
+
+</LinearLayout>

tensorflow/lite/java/demo/app/src/main/res/values-sw600dp/template-dimens.xml

@@ -0,0 +1,24 @@
+<!--
+  Copyright 2013 The Android Open Source Project
+
+  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.
+  -->
+
+<resources>
+
+    <!-- Semantic definitions -->
+
+    <dimen name="horizontal_page_margin">@dimen/margin_huge</dimen>
+    <dimen name="vertical_page_margin">@dimen/margin_medium</dimen>
+
+</resources>

tensorflow/lite/java/demo/app/src/main/res/values-sw600dp/template-styles.xml

@@ -0,0 +1,25 @@
+<!--
+  Copyright 2013 The Android Open Source Project
+
+  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.
+  -->
+
+<resources>
+
+    <style name="Widget.SampleMessage">
+        <item name="android:textAppearance">?android:textAppearanceLarge</item>
+        <item name="android:lineSpacingMultiplier">1.2</item>
+        <item name="android:shadowDy">-6.5</item>
+    </style>
+
+</resources>

tensorflow/lite/java/demo/app/src/main/res/values-v11/template-styles.xml

@@ -0,0 +1,22 @@
+<!--
+  Copyright 2013 The Android Open Source Project
+
+  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.
+  -->
+
+<resources>
+
+    <!-- Activity themes -->
+    <style name="Theme.Base" parent="android:Theme.Holo.Light" />
+
+</resources>

tensorflow/lite/java/demo/app/src/main/res/values-v21/base-colors.xml

@@ -0,0 +1,21 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!--
+ Copyright 2013 The Android Open Source Project
+
+ 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.
+-->
+
+<resources>
+
+
+</resources>

tensorflow/lite/java/demo/app/src/main/res/values-v21/base-template-styles.xml

@@ -0,0 +1,24 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!--
+ Copyright 2013 The Android Open Source Project
+
+ 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.
+-->
+
+<resources>
+
+    <!-- Activity themes -->
+    <style name="Theme.Base" parent="android:Theme.Material.Light">
+    </style>
+
+</resources>

tensorflow/lite/java/demo/app/src/main/res/values/base-strings.xml

@@ -0,0 +1,31 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!--
+ Copyright 2013 The Android Open Source Project
+
+ 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.
+-->
+
+<resources>
+    <string name="app_name">TfLite Camera Demo</string>
+    <string name="intro_message">
+        <![CDATA[
+
+
+            This sample demonstrates the basic use of TfLite API. Check the source code to see how
+            you can use TfLite for efficient, on-device inference with trained TensorFlow models.
+
+
+        ]]>
+    </string>
+    <string name="threads">Threads:</string>
+</resources>

tensorflow/lite/java/demo/app/src/main/res/values/colors.xml

@@ -0,0 +1,22 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!--
+ Copyright 2015 The Android Open Source Project
+
+ 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.
+-->
+<resources>
+    <color name="control_background">#cc4285f4</color>
+    <color name="selection_highlight">#aaaaaa</color>
+    <color name="selection_focus">#eeaa55</color>
+    <color name="item_normal">#eeeeee</color>
+</resources>

tensorflow/lite/java/demo/app/src/main/res/values/strings.xml

@@ -0,0 +1,33 @@
+<?xml version="1.0" encoding="utf-8"?><!--
+ Copyright 2014 The Android Open Source Project
+
+ 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.
+-->
+<resources>
+    <string name="picture">Picture</string>
+    <string name="description_info">Info</string>
+    <string name="request_permission">This sample needs camera permission.</string>
+    <string name="camera_error">This device doesn\'t support Camera2 API.</string>
+    <string name="toggle_turn_on">NN:On</string>
+    <string name="toggle_turn_off">NN:Off</string>
+    <string name="toggle">Use NNAPI</string>
+    <string name="tflite">tflite</string>
+    <string name="nnapi">NNAPI</string>
+    <string name="gpu">GPU</string>
+    <string name="cpu">CPU</string>
+    <string name="modelLabel">Model</string>
+    <string name="deviceLabel">Device</string>
+    <string name="mobilenetV1Quant">mobilenet v1 quant</string>
+    <string name="mobilenetV1Float">mobilenet v1 float</string>
+
+</resources>

tensorflow/lite/java/demo/app/src/main/res/values/styles.xml

@@ -0,0 +1,23 @@
+<?xml version="1.0" encoding="utf-8"?><!--
+ Copyright 2014 The Android Open Source Project
+
+ 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.
+-->
+<resources>
+  <style name="MaterialTheme" parent="android:Theme.Material.Light.NoActionBar.Fullscreen" />
+   <style name="AppTheme.Picker" parent="android:Theme.Material.Light.NoActionBar.Fullscreen" >
+    <item name="android:textColorPrimary">@android:color/white</item>
+
+</style>
+
+</resources>

tensorflow/lite/java/demo/app/src/main/res/values/template-dimens.xml

@@ -0,0 +1,32 @@
+<!--
+  Copyright 2013 The Android Open Source Project
+
+  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.
+  -->
+
+<resources>
+
+    <!-- Define standard dimensions to comply with Holo-style grids and rhythm. -->
+
+    <dimen name="margin_tiny">4dp</dimen>
+    <dimen name="margin_small">8dp</dimen>
+    <dimen name="margin_medium">16dp</dimen>
+    <dimen name="margin_large">32dp</dimen>
+    <dimen name="margin_huge">64dp</dimen>
+
+    <!-- Semantic definitions -->
+
+    <dimen name="horizontal_page_margin">@dimen/margin_medium</dimen>
+    <dimen name="vertical_page_margin">@dimen/margin_medium</dimen>
+
+</resources>

tensorflow/lite/java/demo/app/src/main/res/values/template-styles.xml

@@ -0,0 +1,42 @@
+<!--
+  Copyright 2013 The Android Open Source Project
+
+  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.
+  -->
+
+<resources>
+
+    <!-- Activity themes -->
+
+    <style name="Theme.Base" parent="android:Theme.Light" />
+
+    <style name="Theme.Sample" parent="Theme.Base" />
+
+    <style name="AppTheme" parent="Theme.Sample" />
+    <!-- Widget styling -->
+
+    <style name="Widget" />
+
+    <style name="Widget.SampleMessage">
+        <item name="android:textAppearance">?android:textAppearanceMedium</item>
+        <item name="android:lineSpacingMultiplier">1.1</item>
+    </style>
+
+    <style name="Widget.SampleMessageTile">
+        <item name="android:background">@drawable/tile</item>
+        <item name="android:shadowColor">#7F000000</item>
+        <item name="android:shadowDy">-3.5</item>
+        <item name="android:shadowRadius">2</item>
+    </style>
+
+</resources>