Collect, train and predict with a Tensorflow Machine Learning Model
The Project contains a subfolder for each step
- photo_collector to take images separated per label
- model_trainer to build train and validate a tensorflow based on images collected from photo_collector
- live_prediction uses the model created in model_trainer to show the prediction live from the webcam
- edge_live_prediction same as live_prediction but for edge devices (Raspberry Pi) and in Headless mode