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README
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███████╗██╗ ██╗███╗ ███╗
██╔════╝██║ ██║████╗ ████║
█████╗ ██║ ██║██╔████╔██║
██╔══╝ ╚██╗ ██╔╝██║╚██╔╝██║
███████╗ ╚████╔╝ ██║ ╚═╝ ██║
╚══════╝ ╚═══╝ ╚═╝ ╚═╝
DESCRIPTION
Eulerian Video Magnification for colors and motions magnification
USAGE
python evm.py [-h] --video_path VIDEO_PATH [--level LEVEL] [--alpha ALPHA]
[--lambda_cutoff LAMBDA_CUTOFF] [--low_omega LOW_OMEGA]
[--high_omega HIGH_OMEGA] --saving_path SAVING_PATH
[--mode {gaussian,laplacian}] [--attenuation ATTENUATION]
arguments:
--video_path VIDEO_PATH, -v VIDEO_PATH
Path to the video to be used
--level LEVEL, -l LEVEL
Number of level of the Gaussian/Laplacian Pyramid
--alpha ALPHA, -a ALPHA
Amplification factor
--lambda_cutoff LAMBDA_CUTOFF, -lc LAMBDA_CUTOFF
λ cutoff for Laplacian EVM
--low_omega LOW_OMEGA, -lo LOW_OMEGA
Minimum allowed frequency
--high_omega HIGH_OMEGA, -ho HIGH_OMEGA
Maximum allowed frequency
--saving_path SAVING_PATH, -s SAVING_PATH
Saving path of the magnified video (.avi extension necessary)
--mode {gaussian,laplacian}, -m {gaussian,laplacian}
Type of pyramids to use (gaussian or laplacian)
--attenuation ATTENUATION, -at ATTENUATION
Attenuation factor for I and Q channel post filtering
REFERENCES
Eulerian Video Magnification for Revealing Subtle Changes in the World (https://people.csail.mit.edu/mrub/evm/)
CONTRIBUTORS
Hussem Ben Belgacem