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View Code? Open in Web Editor NEWEulerian Video Magnification for colors and motions magnification
Home Page: https://hbenbel.github.io/blog/evm
License: MIT License
Eulerian Video Magnification for colors and motions magnification
Home Page: https://hbenbel.github.io/blog/evm
License: MIT License
███████╗██╗ ██╗███╗ ███╗ ██╔════╝██║ ██║████╗ ████║ █████╗ ██║ ██║██╔████╔██║ ██╔══╝ ╚██╗ ██╔╝██║╚██╔╝██║ ███████╗ ╚████╔╝ ██║ ╚═╝ ██║ ╚══════╝ ╚═══╝ ╚═╝ ╚═╝ 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
Hello Sir,
Hope you are doing good, Can you please update evm.py with comments and examples.
I tried running this on a 45 second video and it's returning a video that's less than one second long.
evm.py: error: the following arguments are required: --saving_path/-s
[--lambda_cutoff: command not found
[--high_omega: command not found
[--mode: command not found
i can't seem to run it after running the usage, any help is greatly appreciated
Everything works up until the final part and I keep getting this issue:
numpy.core._exceptions._ArrayMemoryError: Unable to allocate 12.0 GiB for an array with shape (3, 720, 1280, 292) and data type complex 128
Any help?
Thanks!
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