Skip to content

Latest commit

 

History

History
50 lines (40 loc) · 1.47 KB

README.md

File metadata and controls

50 lines (40 loc) · 1.47 KB

VSR (Video Super Resolution )

Easy use of good super resolution algorithms, now only EDVR from BasicSR can be used, No mater how big the input is, it can process, so I'm going to release it now even it's still not compelete.

Colab Demo: Notebooks

Table of Contents

  1. Citation
  2. Requirements and Dependencies
  3. Installation
  4. Inferencing

Citation

Requirements and Dependencies

  • NVIDIA GPU + CUDA (We test with: V100, P100, P4, T4, K80)
  • Ubuntu (We test with Ubuntu = 18.04.5 LTS)
  • FFmpeg
  • CUDA (We test with CUDA = 10.1)
  • cuDNN (Optional)
  • Python >= 3.7 (Recommend to use Anaconda or Miniconda)
  • PyTorch >= 1.3

Installation

  1. Install VSR 
    git clone https://github.com/iBobbyTS/VSR.git
cd VSR
python build.py
  2. Download models 
    cd BasicSR
python scripts/download_pretrained_models.py EDVR
cd ..

Easy inferencing

```
cd VSR
python run.py -i input.mp4
```

Check Other arguements in run.py.

Contact

iBobby

License

See MIT License