- python cnn files for drone obstacles avoidance.
- files include training cnn (avcNet folder) and files for running cnn on rpi3 (rpi3 folder)
- example cnn trained binary files (hdf5 - pb) included in rpi3 folder
- different interference methods added: OpenVINO (Intel), DNN-OpenCV, tensorflow, keras.
- on rpi3 DNN-OpenCV: 6 fps, DNN-MYRIAD (NCS1): 20 fps using OpenCV version 4.1.0
- a simple python obstacle avoidance script is included
- Wiki: brief project description describing 2 approaches for cnn development
- donkeycar folder added containing the modified/added files making ArduPilot Rover-copter compatible with donkeycar
- Wiki ros paragraph added for ArduCopter sitl simulations
- autoencoder folder added
