TensorFlow Lite在Android实现图像分类的例子+tensorflow-lite-0.1.7.aar

# TF Lite Android App ## Building in Android Studio with TensorFlow Lite AAR from JCenter. The build.gradle is configured to use TensorFlow Lite's nightly build. If you see a build error related to compatibility with Tensorflow Lite's Java API (example: method X is undefined for type Interpreter), there has likely been a backwards compatible change to the API. You will need to pull new app code that's compatible with the nightly build and may need to first wait a few days for our external and internal code to merge. ## Building from Source with Bazel 1. Follow the [Bazel steps for the TF Demo App](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android#bazel): 1. [Install Bazel and Android Prerequisites](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android#install-bazel-and-android-prerequisites). It's easiest with Android Studio. - You'll need at least SDK version 23. - Make sure to install the latest version of Bazel. Some distributions ship with Bazel 0.5.4, which is too old. - Bazel requires Android Build Tools `26.0.1` or higher. - **Bazel is incompatible with NDK revisions 15 and above,** with revision 16 being a compile-breaking change. [Download an older version manually instead of using the SDK Manager.](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android#install-bazel-and-android-prerequisites) - You also need to install the Android Support Repository, available through Android Studio under `Android SDK Manager -> SDK Tools -> Android Support Repository`. 2. [Edit your `WORKSPACE`](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android#edit-workspace) to add SDK and NDK targets. NOTE: As long as you have the SDK and NDK installed, the `./configure` script will create these rules for you. Answer "Yes" when the script asks to automatically configure the `./WORKSPACE`. - Make sure the `api_level` in `WORKSPACE` is set to an SDK version that you have installed. - By default, Android Studio will install the SDK to `~/Android/Sdk` and the NDK to `~/Android/Sdk/ndk-bundle` (but the NDK should be a manual download until Bazel supports NDK 16. See bullet points under (1)). 2. Build the app with Bazel. The demo needs C++11: ```shell bazel build -c opt --cxxopt='--std=c++11' \ //tensorflow/contrib/lite/java/demo/app/src/main:TfLiteCameraDemo ``` 3. Install the demo on a [debug-enabled device](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android#install): ```shell adb install bazel-bin/tensorflow/contrib/lite/java/demo/app/src/main/TfLiteCameraDemo.apk ```