# FSRCNN

**Repository Path**: shuilandbz/FSRCNN

## Basic Information

- **Project Name**: FSRCNN
- **Description**: Unofficial PyTorch implementation of FSRCNN (Fast Super-Resolution Convolutional Neural Network)
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-12-09
- **Last Updated**: 2025-12-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# FSRCNN
Unofficial implementation of FSRCNN using PyTorch.

## Steps
1. Run `data_aug.m` to augment training set.
2. Run `generate_train.m` and `generate_test.m` to generate h5 files for data loader. 
(Note that you may need to change the path in the matlab code for different image source)
3. Run `main.py`.

## Requirement
1. python >= 3.4
2. pytorch >= 0.4
3. torchvision
4. tensorflow

## Reference
Chao Dong, Chen Change Loy, Xiaoou Tang. Accelerating the Super-Resolution Convolutional Neural Network, in Proceedings of European Conference on Computer Vision (ECCV), 2016