Repository for the super resolution service on the SingularityNET.

This service uses convolutional neural networks to increase the resolution of an image by reconstructing rather than simply resizing it. It can upscale images by a factor of 2, 4 or 8.

This repository was forked from fperazzi/proSR. The original code is written in Python 3 (using Pytorch) and has been integrated into the SingularityNET using Python 3.6.

Refer to:

• The User's Guide: for information about how to use this code as a SingularityNET service;
• The Original Repository: for up-to-date information on FPerazzi implementation of this code.
• SingularityNET Wiki: for information and tutorials on how to use the SingularityNET and its services.

Please read our guidelines before submitting an issue. If your issue is a bug, please use the bug template pre-populated here. For feature requests and queries you can use this template.

• Ramon Durães - Maintainer - SingularityNET

This project is licensed under the MIT License. The original repository is licensed under the GNU General Public License. See the LICENSE file for details.