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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.

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

Next steps.

  • New GUI with Windows 11 style
  • Include audio for upscaled video
  • Update libraries
    • 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.

Original