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edsr_tensorflow's Introduction

Enhanced Deep Residual Networks for Single Image Super-Resolution

Requirements


python 2.7
Tensorflow 1.9.0

Usage

I have not use data augment to train this code and the PSNR on Set5 is about 37.70+ lower than the result on paper.

To use this code, you should:


1. run "train_data_generator_div2k.m" to get train data.
2. run "generate_test.m" to get test data. (This data not the final test!!!)
3. run "train.py" for training network.
4. run "get_test_EDSR.m" to get test data.
5. run "test.py" to test the model.

Update

2019-05-27

The old code use the low_image.shape to calculate the psnr.

Add a new line of code in "test.py"(91 line) to use the original_image.shape.

edsr_tensorflow's People

Contributors

nullhty avatar

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