https://github.com/dros1986/content-preserving-tone-adjustment-for-image-enhancement

Image Enhancement Competition - NTIRE19 - CVPR19
https://github.com/dros1986/content-preserving-tone-adjustment-for-image-enhancement

cvpr cvpr19 enhancement image-enhancement ntire-2019 ntire19

Last synced: 6 months ago
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Image Enhancement Competition - NTIRE19 - CVPR19

• Host: GitHub
• URL: https://github.com/dros1986/content-preserving-tone-adjustment-for-image-enhancement
• Owner: dros1986
• Created: 2019-03-19T16:21:24.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-04-09T12:20:23.000Z (over 6 years ago)
• Last Synced: 2025-04-15T00:09:08.864Z (6 months ago)
• Topics: cvpr, cvpr19, enhancement, image-enhancement, ntire-2019, ntire19
• Language: Python
• Homepage:
• Size: 2.14 MB
• Stars: 40
• Watchers: 4
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

          
# NTIRE 2019 - Image Enhancement Challenge

## Inference

1 - Change the directory that must be enhanced in the file: "_enh\_pwise\_single\_filt\_7\_wd\_0.0_" at the key "_dataset_ → _params_ → _regen_ → _input_dir_"

2 - Run the code with the command:

```sh

python Trainer.py --json ./json/enh_pwise_single_filt_7_wd_0.0.json --regen

```

3 - Enhanced images will be in the folder: "_./checkpoints/enh_pwise_single_filt_7_wd_0.0/regen_"

Input

Output