PyTorch code for our paper" DLEN: Deep Laplacian Enhancement Networks for Low-Light Images "
- python==3.7.5
- torch==1.7.1
- torchvision==0.8.2
- timm==0.2.4
- matplotlib==3.4.3
- tensorboard==2.5.0
- numpy==1.19.5
- scipy==1.7.1
- opencv-python==4.2.0.34
cd DLEN
pip install -r ./requirements.txt
Download the datasets and pretrained models first. Please prepare the basic folder structure as follows.
/DLEN
/src # config files for datasets and PSNR and SSIM code
/models # python files for DLEN
/pretrained_models # folder for pretrained models
requirements.txt
README.md
For the evaluation on LOL-v1 and LOL-v2, you should change input_dir (Input image directory) with your datasets path on the test.py
# put datasets and pretrained model in the corresponding directory
cd DLEN
python test.py
The source code for training our DLEN will be available after the publication of the paper.