Term project repo for Deep Learning course at Universite de Montreal, see the course webpage for full description.
The dataset is a a downsampled 64x64 version of MSCOCO, available here
To get the data ready, simply run setup:
chmod +x setup # make sure `setup` is executable
bash setupThe setup script will create the data directory and download and extract images to data/inpainting. You should have the following structure in data/:
├── examples.py
├── inpainting
│ ├── dict_key_imgID_value_caps_train_and_valid.pkl
│ ├── train2014
│ ├── val2014
│ └── worddict.pkl
├── inpainting.tar.bz2
└── TO_READ.txt