Dynamic Zoom - Real-time Video Resolution Enhancement

Dive into the advanced super-resolution technology of Dynamic Zoom, a real-time video enhancement system designed for digital media.

Links

• Website: https://dynamic-zoom.github.io/home/
• Repository: https://github.com/Dynamic-Zoom/Dynamic-Zoom

Usage

• Ensure Conda (Miniconda/Anaconda) is installed on your system. (Official Conda website for installation guide)
• Run conda env create -f environment.yml to install necessary packages.
• Activate your new Conda environment using conda activate dynamic-zoom. (Check for appropriate PyTorch version installation to enable GPU acceleration)
• Run python run.py --help to check Command line arguments
• Example run: python run.py --input "data/input.mp4" --output "output/output.mp4"

Command line arguments explanation

Argument	Description	Supported values
-h, --help	Show help message and exit
-r, --roi	Define size of your ROI window	2 (space separated) numbers: H W
--input	Relative File path of the input file
--output	Relative File path of the output file
-m, --model_name	Select upscaling model (default = bicubic++)	"bicubic++" "srgan2x" "srgan4x"
--fps	Fps of output file (default = 24)
-v, --verbosity	Select output verbosity (default = 0)	0 = only pipeline stage logs(default) 1 = per frame logs 2 = detailed logs

Supported Models

1. Bicubic++ - by Aselsan Research group: https://github.com/aselsan-research-imaging-team/bicubic-plusplus
2. Swift-SRGAN - by Koushik Sivarama Krishnan, Karthik Sivarama Krishnan: https://github.com/Koushik0901/Swift-SRGAN