项目作者： opteroncx

项目描述：
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

高级语言： Python

项目主页：

项目地址: git://github.com/opteroncx/SESR.git

创建时间： 2018-01-17T12:16:49Z
项目社区：https://github.com/opteroncx/SESR
开源协议：
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SESR

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks (To appear in ICPR 2018)

https://arxiv.org/abs/1801.10319

Quality for scale x4

Trained on div2k, r=4

DataSet/Method	PSNR/SSIM
Set5	32.05/ 0.897
Set14	28.54/ 0.789
BSD100	27.51/ 0.743
Urban100	25.83/ 0.785

Compare with other methods

Requirement

Python 2.7
Pytorch 0.2.0
opencv-python
numpy

Train

python train.py --cuda

Evaluate

python test.py --cuda

Do Super resolution on your own images

python test.py --cuda --mode sr --testdir path_to_your_image

Reference

https://github.com/twtygqyy/pytorch-LapSRN
https://github.com/jiny2001/dcscn-super-resolution
https://github.com/jmiller656/EDSR-Tensorflow

https://github.com/grevutiu-gabriel/python-ssim/blob/master/python-ssim.py

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