Markov Random Field for Image Segmentation
Project description
Markov Random Field for Image Segmentation
Free software: MIT license
Documentation: https://markov-random-field.readthedocs.io.
Features
TODO
Credits
- This package borrows almost everything from this repository:
https://github.com/lucananni93/Hidden-Markov-Random-Fields/blob/master/image_segmentation/main.py
I made small QoL improvements (using scipy.signal.convolve2d instead of iterating through all the pixels to make this faster).
As a small benchmark, an image of size (14930, 20226) with 4 classes takes 20m 40.7s to run on a cluster with 20 cores and 100 GB of RAM. Likely it doesn’t require that much memory to run, however your mileage will vary.
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
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