Eulerian Video Magnification
Amplify tiny movements in video.
Based on the amazing research done at MIT: http://people.csail.mit.edu/mrub/vidmag/
Warning from the author: This code is not in a working state. I'm slowly adding testing to identify whats wrong, but this project is very low priority. Pull-requests welcome!
- Install OpenCV
pip install eulerian-magnification
docker build -t eulerian . docker run -it eulerian /bin/bash
- Python 3.5, untested on Python 2.7.
- OpenCV 3+.
- numpy, scipy, matplotlib
On windows you can download the needed python dependencies here. Make sure you install the MKL version of numpy as the scipy binary depends on it.
This technique works best with videos that have very little motion. Pre-processing a video through a stabilization algorithm may help. Some excellent videos sources can be found here: http://people.csail.mit.edu/mrub/vidmag/
Once you've downloaded the video simply run::
import eulerian_magnification as em vid, fps = em.load_video_float(source_path) em.eulerian_magnification(vid, fps, freq_min=50.0 / 60.0, freq_max=1.0, amplification=50, pyramid_levels=3 )
freq_max specify the frequency in hertz that will be amplified.
amplification specifies how much that signal will be amplified.
It can take a while to find the best parameters for a specific video. To help with that there is the show_frequencies function::
import eulerian_magnification as em vid, fps = em.load_video_float(source_path) em.show_frequencies(vid, fps)
This will show a graph of the average value of the video as well as a graph of the signal strength at various frequencies.
- Butterworth and IIR filters
- Optimized memory usage to allow processing of larger files
When I process the video it looks all weird - alternating from bright to dark - what am I doing wrong?
Most likely the video you're trying to process just has too much movement. Try running it through a video stabilizer. Even with stabilization, it can be hard to find the correct frequency and amplification parameters that isolate the hidden motion you're trying to display.
Additionally, some videos are better suited to motion amplification using a laplacian pyramid.
Windows: IndexError: tuple index out of range
On windows with OpenCv2 it may be necessary to add C:\OpenCV2.3\build\x86\vc10\bin to the system path for videos to load properly. Make sure you adjust the path to the actual location of your opencv library.
Push to Pypi
git tag 0.22 git push --tags python setup.py sdist twine upload dist/* rm dist -r
Bryce Drennan firstname.lastname@example.org