This project is the output of a graduate-level course on computer vision and machine learning. The aim being to take image input data and process it into instructions for a "Pi Car" (a RaspberryPi powered automous vehicle).
-numpy (1.11.1)
-pandas (0.23.4)
-tensorflow-gpu (1.1.0) --non gpu tensorflow should still work fine
-tflearn (0.3.2)
-Training a network: modify any relevant input in the main function of control.py
-Optional: change directory to image data in train.py
-Running Trained Network: run net_tester.py (give path to network and path to image file)