.
├── generator.py					# Generator Network
├── discriminator.py					# Discriminator network
├── run_test.bash					# Bash File (runs the test, Check contents for args to be passed
├── run_train.bash					# Bash File (runs the train, Check contents for args to be passed)
├── data_loader.py					# Image data loader
├── context_encoder.py					# Train Module
├── context_encoder_test.py				# Test module needs checkpoint as input
├── random_crop						# Train on random crops
│   ├── generator.py
│   ├── data_loader.py
│   ├── discriminator.py
│   ├── context_encoder.py
│   └── random_crop_epoch_results			# Results of random crops on train (around 4000 epochs)
├── paris_epoch_results_gifs				# Gifs from progress of epochs
│   └── split_images					# split-images obtained from image_spliter.py
├── paris_eval_results					# Obained results on eval data
├── paris_eval						# paris data eval set (get data from Pathak)
├── mid_eval_submissions				# submission folder for mid eval (project) 
│   └── images						# Random crop on CIFAR10
├── paris_train						# train images needs to be here (get data from Pathak)
├── log							# Logs
├── cat_dataset_results					# Results on Cat Dataset
├── final_eval_submission				# submission folder for final eval (project)
├── misc
│   ├── image_splitter.py				# batch image spliter
│   ├── gifmaker.py					# gif maker
│   └── run_help					# misc
├── run.md						# describes how to run the code
├── check_points					# checkpoint saved
├── README.md						# Readme
└── paris_epoch_results					# Epcoh wise one batch results