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Refined Image Inpainting

Authors: Lynn Duan, Lei Pan, Jenna Zhang, Jayleen Zhou


sitemap inside the working folder

├── README.md ├── app.py ├── server/ ├── torch_deform_conv/ ├── predict.py ├── <model_file> ├── models.py ├── layers.py └── utils.html └── static/ ├── dist/ ├── script/ ├── index.jsx └── main.jsx ├── style/ └── main.css └── index.html


How to run this demo locally

  • in the project root folder, run python app.py in Terminal
  • url: localhost:5000

To compile front-end

  • change directory into the static folder, run npm run dev in Terminal
  • url: localhost:8080
  • remember to clear browser cache

How to test front-end framework

  • change directory into the static folder, run npm install and then npm run watch in Terminal


Approaches

  • Front-end: using ReactJS to render the front-end buttons, jQuery to handle AJAX communications
  • Back-end: using Python in Flask framework to serve as the back-end server.

Attribution

Otenim/GLCIC-PyTorch oeway/pytorch-deform-conv

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Image inpainting with GAN and Deformable ConvNet

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