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Super-resolution Convolutional Neural Network for image upscaling

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SRCNN

Super-resolution Convolutional Neural Network for image upscaling.

Based on Image Super-Resolution Using Deep Convolutional Networks.

The model is trained with 1500 images from unsplash using Python and Tensorflow.

The web app is built with:

Online demo

To try the online demo, go to this page.

To host the Demo, clone the demo, build the app and serve the dist folder

npm i

npm run build

To use the development server, you need a browser with WebWorker module support

Training

To train the model with your own data and settings use this Notebook.

Credit

This project is created by

License

This project is licensed under the MIT license.

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