gzehua / ai-tfl-xvii

基于TensorFlow lite的图像识别系统（Android实现）

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:

2. 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.
   • You also need to install the Android Support Repository, available through Android Studio under Android SDK Manager -> SDK Tools -> Android Support Repository.

3. Edit your 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)).

4. Build the app with Bazel. The demo needs C++11:

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:

adb install bazel-bin/tensorflow/contrib/lite/java/demo/app/src/main/TfLiteCameraDemo.apk