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QualityScaler - image/video AI upscaler app

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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.

How to use QualityScaler?

movie_max_vp9.webm

Other AI projects.πŸ€“

Credits.

Citations. ❀

How is made. πŸ› 

QualityScaler is completely written in Python, from backend to frontend.

Make it work by yourself. πŸ‘¨β€πŸ’»

Prerequisites.

Getting started.

  • Download the project on your PC (Green button Code > Download ZIP)
  • Extract the project from the .zip
  • Extract the AI models files in /AI-onnx folder
  • Extract FFMPEG.exe in /Assets folder
  • Open the project with VSCode (Drag&Drop the project directory on VSCode)
  • Click on QualityScaler.py from left bar (VSCode will ask to install Python plugins)
  • Install dependencies. In VSCode there is the "Terminal" panel, click there and execute the command "pip install -r requirements.txt"
  • Close VSCode and re-open it (this will refresh all the dependecies installed)
  • Click on the "Play button" in the upper right corner of VSCode

Requirements. πŸ€“

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

Features.

  • Elegant and easy to use GUI
  • Image and Video upscale
  • Multiple GPUs support
  • Compatible images - jpg, png, tif, bmp, webp, heic
  • Compatible video - mp4, wemb, mkv, flv, gif, avi, mov, mpg, qt, 3gp
  • Automatic image tilling to avoid gpu VRAM limitation
  • Resize image/video before upscaling
  • Interpolation beetween original file and upscaled file
  • Video upscaling STOP&RESUME
  • PRIVACY FOCUSED - no internet connection required / everything is on your PC

Next steps. 🀫

  • 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)
  • 3.X versions
    • New AI engine powered by onnxruntime-directml (https://github.com/microsoft/onnxruntime))
    • Python 3.11 (performance improvements)
    • Python 3.12 (performance improvements)
    • Display images/videos upscaled resolution in the GUI
    • Updated FFMPEG to version 7.x (latest release)
    • Saving user settings (AI model, GPU, CPU etc.)
    • Video AI multi-threading upscale
    • Video upscaling STOP&RESUME
  • 4.X version
    • Hardware accelerated video encoding (nvenc / amf / qsv)
    • More video extensions (.mp4 / .mkv / .avi / .mov)
    • Output resolution scaling
    • Video AI multi-threading improvements

Some Example.

Videos

original

BSRGANx4.mp4

Images

test

ORIGINAL

Bsrgan x4

Bsrgan x4 (2)

Bsrgan x4 (3)

Bsrgan x4