This folder contains an example application utilizing TensorFlow for Android devices.
Inference is done using the TensorFlow Android Inference Interface, which may be built separately if you want a standalone library to drop into your existing application. Object tracking and YUV -> RGB conversion is handled by libtensorflow_demo.so.
A device running Android 5.0 (API 21) or higher is required to run the application due to the use of the camera2 API, although the native libraries themselves can run on API >= 14 devices.
- TF Classify: Uses the Google Inception model to classify camera frames in real-time, displaying the top results in an overlay on the camera image.
- TF Detect: Demonstrates a model based on Scalable Object Detection using Deep Neural Networks to localize and track people in the camera preview in real-time.
- TF Stylize: Uses a model based on [A Learned Representation For Artistic Style] (https://arxiv.org/abs/1610.07629) to restyle the camera preview image to that of a number of different artists.
