This will be the fourth time I am giving this talk about my work on the Raspberry Pi. I last gave it at the Google Developers ML Summit and it was recording and that was kind of odd. We will see if this one is a little better with some audience feedback.
Since I had some extra time I was able to implement TensorFlow Lite on the Raspberry Pi. I went to the TF Quickstart [Link] page and since I had already converted the Keras model into a tflite model I only needed the interpreter. This allowed me to not have to have the full TF install*.
*I still used the Keras preprocessing and decoding methods that came with the MobileNetV2 model. I probably should have not done that but at this point I don’t think it matters as much. Maybe in the future I will do ONLY TF Lite.
Original Blog Series: Here
Code: Main, MobileNetV2Base, and PiCameraManager