This is my prototype app intended to turn an old android smartphone into a security camera with AI person and object detection. If you navigate to lite/examples/object_detection/android this is an Android Studio project that you can run on a physical Android phone running a minimum SDK of 24. Currently all that's been done is hijacking the output of the existing tensorflow model and creating a toast popup whenever the model detects a person object, along with a frame counting threshold to avoid false positives. In the future this can be used to distinguish the beginning and end of an event of interest to save to a file.
- Community examples
- Course materials for the Deep Learning class on Udacity
If you are looking to learn TensorFlow, don't miss the core TensorFlow documentation which is largely runnable code. Those notebooks can be opened in Colab from tensorflow.org.
This is the TensorFlow example repo. It has several classes of material:
- Showcase examples and documentation for our fantastic TensorFlow Community
- Provide examples mentioned on TensorFlow.org
- Publish material supporting official TensorFlow courses
- Publish supporting material for the TensorFlow Blog and TensorFlow YouTube Channel
We welcome community contributions, see CONTRIBUTING.md and, for style help, Writing TensorFlow documentation guide.
To file an issue, use the tracker in the tensorflow/tensorflow repo.