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Motion energy features from video

Home Page: https://gallantlab.github.io/pymoten/

License: BSD 2-Clause "Simplified" License

Python 100.00%
neuroscience computer-vision gabor-filters video-features spatiotemporal-energy-model

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pymoten's Issues

online motion-energy computation

It should be feasible to have a running buffer of image luminance values and compute the motion-energy features using that buffer only.

advantages:
removes memory errors due to loading a large number of images.
allows for some sort of real-time-ish use (except at the edges)

disadvantages:
?

generic backend

abstract away numpy/torch to allow for cpu/gpu agnostic code.

check rendering of examples on website

Example: [https://gallantlab.github.io/pymoten/auto_examples/introduction/demo_show_filters.html#sphx-glr-auto-examples-introduction-demo-show-filters-py](Visualizing the motion energy filters)

  • the first image doesn't show anything
  • there's an extra output at the end due to setting ticks

BTW this example is really cool

CI not working

The options are fixing travis setup or switching to github workflows

docstrings

in approximate order of simplicity

  • utils
  • viz, colorspace
  • pyramids done
  • io
  • core: needs minor updates to be consistent with refactor done

static filters

fix phase offset parameter handing to allow static quadrature-pairs

How to compute direction of the moving object from motion energy features?

Hello,

This is the first time I am using this library and learning about motion energy as a topic, so I would like to apologize for the very naive question. I would like to use this library to compute direction of motion for a moving object in a given video. Can you tell me to do it using this library?

Thanks a lot

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