오늘 테스트할려고 시도할 것들
오늘 연구는 테스트 위주의 연구이다.
그래서 돌려볼 코드는 다음과 같다.
1.
https://github.com/engindeniz/Cycle-Dehaze
engindeniz/Cycle-Dehaze
Contribute to engindeniz/Cycle-Dehaze development by creating an account on GitHub.
github.com
2.
https://github.com/joyeecheung/dark-channel-prior-dehazing
joyeecheung/dark-channel-prior-dehazing
Python implementation of "Single Image Haze Removal Using Dark Channel Prior" - joyeecheung/dark-channel-prior-dehazing
github.com
3.
https://github.com/thatbrguy/Dehaze-GAN
thatbrguy/Dehaze-GAN
TensorFlow code for Single Image Haze Removal using a Generative Adversarial Network - thatbrguy/Dehaze-GAN
github.com
4.
https://github.com/caibolun/DehazeNet
caibolun/DehazeNet
DehazeNet: An End-to-End System for Single Image Haze Removal - caibolun/DehazeNet
github.com
5.
https://sites.google.com/site/renwenqi888/research/dehazing/mscnndehazing
MSCNNdehazing - Wenqi Ren's Homepage
Single Image Dehazing via Multi-Scale Convolutional Neural NetworksWenqi Ren1,3, Si Liu2, Hua Zhang2, Jinshan Pan3, Xiaochun Cao1, and Ming-Hsuan Yang31Tianjin University, 2IIE, CAS, 3University of California, MercedAbstractThe performance of existing imag
sites.google.com
이 다섯개를 목표로 일단 할 것이고,
이후에 최신 코드가 있으면 테스트에 추가로 넣어보겠다.