TF_Rover

Deep Learning Autonomous Vehicle Control with Tensorflow

RoverCollect

Collect dataset with rover and save as H5py

Convert frame stacks into hyperspectral format

Train GPU deep learning network and save weights

Evaluate model on video data

Real-time neural network control

Name		Name	Last commit message	Last commit date
Latest commit History 345 Commits
rover		rover
Arduino_for_Traffic_Light_MPCR.ino		Arduino_for_Traffic_Light_MPCR.ino
Controller.py		Controller.py
Data.py		Data.py
FlopCount.py		FlopCount.py
ModelTrain.py		ModelTrain.py
NetworkSwitch.py		NetworkSwitch.py
Pygame_UI.py		Pygame_UI.py
README.md		README.md
RoverCollect.py		RoverCollect.py
RoverRun.py		RoverRun.py
RoverSimple.py		RoverSimple.py
RoverTrack.ipynb		RoverTrack.ipynb
SparseCodingRover.ipynb		SparseCodingRover.ipynb
SparseCodingRoverFrames.ipynb		SparseCodingRoverFrames.ipynb
get_model_vars.py		get_model_vars.py
group_conv.py		group_conv.py
main.py		main.py
pixel_importance.py		pixel_importance.py
viz_weights.py		viz_weights.py