Image Inpainting Back-End

This repository is modified from Xyfuture/hpc_backbone for easier and faster deployment and test:

• Change the backend framework to Flask
• Delete Redis Message Queue

Note: "Using Flask in this way is by far the easiest way to start serving your PyTorch models, but it will not work for a use case with high performance requirements." DEPLOYING PYTORCH IN PYTHON VIA A REST API WITH FLASK

Related Deep Learning Models：

• LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
  • Code for this paper: https://github.com/saic-mdal/lama

• DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better, ICCV 2019
  • Code for this paper: https://github.com/VITA-Group/DeblurGANv2

How to run this project

Step 1

Download model weight to models/big_lama/weight/ and models/deblur_gan/weight/

• Lama
• DebulrGANv2

Step 2

Install dependencies：

pip install -r requirements.txt

Step 3

Start server

python app.py