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This repository is developed by @penguin1214 and @Paper99.

Our super-resolution framework is built on BasicSR / EDSR-Pytorch / RCAN and tested on Ubuntu 14.04/16.04 environment (Python3.6, PyTorch 0.4.0, CUDA9.0/8.0, cuDNN7/5.1) with NVIDIA GPUs

Requirements

  • Python 3.6
  • Pytorch 0.4.0

Optional

  • TensorFlow (for better logging)

Usage

You should download some SR datasets firstly, for example:

  • training datasets: DIV2K (800 images for train, 100 images for validation/test). It can be downloaded from official site; (If you just want to test our SR framework, you can download debug dataset from here)
  • testing datasets: Set5, Set14, Urban100, B100, Manga109; (The download link is provided by @yulunzhang)

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A general framework for super-resolution tasks.

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  • Python 87.8%
  • MATLAB 12.2%