Our work proposes an adaptive learning attention network (LANet) to solve the problem of color casts and low illumination in underwater images.

1. Download the code
2. run Python train.py --input_images-path ./data/trainA/ --label_images_path ./data/trainB/ 
3. Find checkpoint in the "./checkpoints/" folder
The training data includes input data and label data. input data are in the "./data/trainA" folder, label data are in the "./data/trainB" folder

1. pre-trained models in the "./checkpoints/" folder
2. Put your testing images in the "./data/test/" folder 
3. run Python test.py --test_pth ./data/test/ --snapshot_pth ./checkpoints/model_epoch_40.pk
4. Find the result in "./results" folder