Image/Video deeplearning upscaler app for Windows (OpenCV)

Credits.

ESPCN (https://arxiv.org/pdf/1609.05158.pdf)

FSRCNN (https://arxiv.org/pdf/1608.00367.pdf)

LapSRN (https://arxiv.org/pdf/1710.01992.pdf)

How is made.

NiceScaler is completely written in Python, from backend to frontend. External packages are:

• [ ] AI -> OpenCV
• [ ] GUI -> Tkinter / Tkdnd / Sv_ttk / Win32mica
• [ ] Image/video -> OpenCV / Moviepy
• [ ] Packaging -> Pyinstaller

Requirements

• [ ] Windows 11 / Windows 10
• [ ] RAM >= 8Gb
• [ ] OpenCL compatible gpu
• [ ] CPU

Features.

• [x] Easy to use GUI
• [x] Image/list of images upscale
• [x] Video upscale
• [x] Drag&drop files [image/multiple images/video]
• [x] Different upscale factors:
  • [x] x2 - 500x500px -> 1000x1000px
  • [x] x4 - 500x500px -> 2000x2000px
• [x] Cpu and Gpu backend
• [x] Compatible images - png, jpeg, bmp, webp, tif
• [x] Compatible video - mp4, wemb, gif, mkv, flv, avi, mov, qt

Next steps.

• [x] New GUI with Windows 11 style
• [x] Include audio for upscaled video
• [ ] Update libraries
  • [x] Python 3.10 (expecting ~10% more performance)
  • [ ] Python 3.11 (expecting ~30% more performance, now in beta)

Known bugs.

• [ ] GPU upscaling does not work correctly with some gpus (use CPU instead)
• [ ] When running NiceScaler as Administrator, drag&drop is not working

Example.