zhgqcn / Super-Resolution-Deployment

Using Pytorch to train a SR model and then deploy it by Flask and Pyqt5.

SERVER

Using Flask and Python and Pytorch to build a server to deal with super resolution process.

technology stack

1. Learn HTML and CSS

2. Flask：https://dormousehole.readthedocs.io/en/latest/

3. Colab：https://www.cnblogs.com/zgqcn/p/11186406.html

4. flask_ngrok

Use

1. git clone this repo
2. cd ./Server
3. python predict.py

Server Demo Show

Refercence

• https://github.com/Aanisha/SuperResolution

CLIENT

Using Pyqt5 and Qt Designer to make a GUI App.

technology stack

1. Qt Designer and pyqt5
   - https://www.cnblogs.com/zgqcn/p/14396977.html
   - main function : Signal & Slot
2. request APi - Post method - Get method

Use

1. git clone this repo
2. cd ./Clinet
3. python app.py

Client Demo Show