Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining
The testing code of Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining.
Citation
@article{li2018non-locally,
title={Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining},
author={Li, Guanbin and He, Xiang and Zhang, Wei and Chang, Huiyou and Dong, Le and Lin, Liang},
journal={acm multimedia},
year={2018}
}
Visualization
Environment
- python 3.6
- pytorch 0.4.0
Download Link (here)
- Four testing sets.
- De-rained results.
- Four model weights.
Running Steps
- Download four testing sets (Rain100L, Rain100H, DDN, DID-MDN).
- Choose the type of dataset in config.py.
data_type_list = ['Rain100L', 'Rain100H', 'DDN', 'DID'] data_type = data_type_list[2] - Run test.py.
python test.py