README.md
April 7, 2025 ยท View on GitHub
To download Rain13K training and testing data, run
python download_data.py --data train-test
Training
Please modify MB-TaylorFormer-L.yml first.
To train MB-TaylorFormerV2, run
sh /train.sh Dehazing/Options/MB-TaylorFormer-L.yml
Testing
Download test datasets (Test100, Rain100H, Rain100L, Test1200, Test2800), run
python download_data.py --data test
Run the following command to quick test:
CUDA_VISIBLE_DEVICES=X python Deraining/test.py --input_dir [Input path] --result_dir [Result path] --weights [Model weighting path]
For example:
CUDA_VISIBLE_DEVICES=0 python Deraining/test.py --input_dir './Deraining/datasets/Rain13K/test/rain/' --result_dir './Rain13K_result' --weights './Draining/pretrained_models/DerainV2-L.pth'
To reproduce PSNR/SSIM scores of Table 1, run
evaluate_PSNR_SSIM.m