Video Super-Resolution Application

Video Super Resolution application using Reactjs + Django. In this project, I use EDVR model which is trained by my own datasets. You are allowed using any other SR models.

Requirements

• Python 3
• Pytorch >= 1.1
• NVIDIA GPU + CUDA
• Deformable Convolution. We use mmdetection's dcn implementation. Please first compile it.

cd ./recognition/SRModels/EDVR/models/archs/dcn
python setup.py develop

• Python packages: pip install numpy opencv-python pyyaml
• Django 3
• DjangoRestFramework
• MySQL connection (can use any other database, remember to config it in Django).
• React >= 16.8
• Running yarn install to install the dependencies (you could use NPM).

To-dos

• Implement video player.
• Implement Cropping tool for video.
• Implement extracting frames from Cropping tool.
• Implement API for generating SR images from video.
• User login.
• Upload videos.
• Landing pages.
• Using GraphQL.
• Further more features.

Preview

Projects model

Citation

@InProceedings{wang2019edvr,
  author    = {Wang, Xintao and Chan, Kelvin C.K. and Yu, Ke and Dong, Chao and Loy, Chen Change},
  title     = {EDVR: Video restoration with enhanced deformable convolutional networks},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  month     = {June},
  year      = {2019},
}