# SRCNN-REPRODUCTION

**Repository Path**: xxuffei/SRCNN-REPRODUCTION

## Basic Information

- **Project Name**: SRCNN-REPRODUCTION
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-02-03
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README




### The directory structure:
````
.
├── datasets
|   └── Train
|   └── Test
|       ├── Set5
|       └── Set14
|── configs.py
|── networks.py
|── train.py
|── utils.py
└── README.md
        
````

### training

1. place the datasets(training:91 images, testing: Set5 and Set14) to datastes directory \
2. running ultis.py to generate the traning dataset(h5 file)
3. running train.py to start training
*the dataset could be obtained from this url(http://mmlab.ie.cuhk.edu.hk/projects/SRCNN/SRCNN_train.zip)*

The iteration was set to 400,000,000.
In the papper "Learning a Deep Convolutional Network for Image Super-Resolution, in Proceedings of European Conference on Computer Vision
the iteration was set 10 1,200,000,000


this version exsist some problems which lead to bad psnr \
to be continue...