To run the Partial Cube Detector,

1) Use genfsm to make PartialCubeDetection.py
2) Run simple_cli
3) Run runfsm('PartialCubeDetection')

Presentation is saved in Presentation folder


Code for training & testing model is saved in DeepLearning Folder
I did not add common_dataset images due to size of the folder.
If you are planning to do the training, please import common_dataset, then save to FinalProject/DeepLearning/common_dataset directory.


This code is set to run using the GPU. If you have to run the program by CPU, then change the device = torch.device('cuda:0') to device = torch.device('cpu') at testing.py.

Address of the webpage that illustrates my work is https://jakeshin45.github.io/Projects/CogRob.html