python train.py     --epochs 40
                    --lr_g 0.0001
                    --batch_size 4
                    --perceptual_param 10
                    --gan_param 0.01
                    --baseroot [the path of training set, like Place365]
                    --mask_type 'free_form' [or 'single_bbox' or 'bbox']
                    --imgsize 256

if you have more than one GPU, please change following codes:
python train.py     --multi_gpu True
                    --gpu_ids [the ids of your multi-GPUs]

python test.py 	    --load_name '*.pth' (please ensure the pre-trained model is in same path)
                    --baseroot [the path of testing set]
                    --mask_type 'free_form' [or 'single_bbox' or 'bbox']
                    --imgsize 256

@inproceedings{yu2019free,
  title={Free-form image inpainting with gated convolution},
  author={Yu, Jiahui and Lin, Zhe and Yang, Jimei and Shen, Xiaohui and Lu, Xin and Huang, Thomas S},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  pages={4471--4480},
  year={2019}
}