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QualityScaler - image/video AI upscaler app

License: MIT License

Python 100.00%
python amd intel nvidia directx-12 windows compression-artifact-reduction deep-learning gui-application noise-reduction

qualityscaler's Introduction



QualityScaler - image/video AI upscaler app


What is QualityScaler?

Qualityscaler is a Windows app powered by AI to enhance, upscale and de-noise photographs and videos.

Other AI projects.๐Ÿค“

Credits.

Citations. โค

How is made. ๐Ÿ› 

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

  • AI -> torch / onnxruntime-directml
  • GUI -> customtkinter
  • Image/video -> OpenCV / moviepy
  • Packaging -> nuitka

Requirements. ๐Ÿค“

  • Windows 11 / Windows 10
  • RAM >= 8Gb
  • Any Directx12 compatible GPU with >= 4GB VRAM

Features.

  • Easy to use GUI
  • Images and Videos upscale
  • Multiple AI models
  • Automatic image tiling and merging to avoid gpu VRAM limitation
  • Resize image/video before AI upscaling
  • Interpolation between the original and upscaled image/video
  • Compatible images - png, jpeg, bmp, webp, tif
  • Compatible video - mp4, wemb, gif, mkv, flv, avi, mov, qt

Next steps. ๐Ÿคซ

  • 1.X versions
    • Switch to Pytorch-directml to support all Directx12 compatible gpu (AMD, Intel, Nvidia)
    • New GUI with Windows 11 style
    • Include audio for upscaled video
    • Optimizing video frame resize and extraction speed
    • Multi GPU support (for pc with double GPU, integrated + dedicated)
    • Python 3.10 (expecting ~10% more performance)
  • 2.X versions
    • New, completely redesigned graphical interface based on @customtkinter
    • Upscaling images and videos at once (currently it is possible to upscale images or single video)
    • Upscale multiple videos at once
    • Choose upscaled video extension
    • Interpolation between the original and upscaled image/video
    • More Interpolation levels (Low, Medium, High)
    • Show the remaining time to complete video upscaling
    • Support for SRVGGNetCompact AI architecture
    • Metadata extraction and application from original file to upscaled file (via exiftool)
    • Support for SAFMN AI architecture
  • 3.X versions
    • New AI engine powered by onnxruntime-directml (https://pypi.org/project/onnxruntime-directml/)
    • Python 3.11 (~10% performance improvements)
    • Display images/videos upscaled resolution in the GUI
    • FFMPEG 7 (latest release)
    • Video multi-threading AI upscale
    • Python 3.12
    • Video upscaling pause and restart

Some Example.

Videos

original

BSRGANx4.mp4

Images

test

ORIGINAL

Bsrgan x4

Bsrgan x4 (2)

Bsrgan x4 (3)

Bsrgan x4

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