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Diffstat (limited to 'tensorflow/docs_src/mobile/tflite/demo_android.md')
| -rw-r--r-- | tensorflow/docs_src/mobile/tflite/demo_android.md | 23 |
1 files changed, 11 insertions, 12 deletions
diff --git a/tensorflow/docs_src/mobile/tflite/demo_android.md b/tensorflow/docs_src/mobile/tflite/demo_android.md index 1980fdeb66..fdf0bcf3c1 100644 --- a/tensorflow/docs_src/mobile/tflite/demo_android.md +++ b/tensorflow/docs_src/mobile/tflite/demo_android.md @@ -44,23 +44,22 @@ app: Android Studio project. * Install all the Gradle extensions it requests. -To get a model, either: - -* Download the quantized [Mobilenet TensorFlow Lite model](https://storage.googleapis.com/download.tensorflow.org/models/tflite/mobilenet_v1_224_android_quant_2017_11_08.zip) - and unzip and copy `mobilenet_quant_v1_224.tflite` to the assets directory: - `tensorflow/contrib/lite/java/demo/app/src/main/assets/`. -* Or, download the floating point [Inception-v3 model](https://storage.googleapis.com/download.tensorflow.org/models/tflite/inception_v3_slim_2016_android_2017_11_10.zip) - and unzip and copy `inceptionv3_non_slim_2015.tflite` to the assets - directory. Change the chosen classifier in - [Camera2BasicFragment.java](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/lite/java/demo/app/src/main/java/com/example/android/tflitecamerademo/Camera2BasicFragment.java)<br> - from: `classifier = new ImageClassifierQuantizedMobileNet(getActivity());`<br> - to: `classifier = new ImageClassifierFloatInception(getActivity());`. +Now you can build and run the demo app. -Now you can build and run the demo app. +The build process downloads the quantized [Mobilenet TensorFlow Lite model](https://storage.googleapis.com/download.tensorflow.org/models/tflite/mobilenet_v1_224_android_quant_2017_11_08.zip), and unzips it into the assets directory: `tensorflow/contrib/lite/java/demo/app/src/main/assets/`. Some additional details are available on the [TF Lite Android App page](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/java/demo/README.md). +### Using other models + +To use a different model: +* Download the floating point [Inception-v3 model](https://storage.googleapis.com/download.tensorflow.org/models/tflite/inception_v3_slim_2016_android_2017_11_10.zip). +* Unzip and copy `inceptionv3_non_slim_2015.tflite` to the assets directory. +* Change the chosen classifier in [Camera2BasicFragment.java](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/lite/java/demo/app/src/main/java/com/example/android/tflitecamerademo/Camera2BasicFragment.java)<br> + from: `classifier = new ImageClassifierQuantizedMobileNet(getActivity());`<br> + to: `classifier = new ImageClassifierFloatInception(getActivity());`. + ## Build TensorFlow Lite and the demo app from source |