homcv 0.1.dev0

Computes homological properties of imagess.

HomCV: Homotopical Computer Vision

HomCV is a Python library deploying homotopy theoretic methods to computer vision.

Installation

Use the package manager pip to install HomCV.

pip install homcv

Examples

import homcv
from skimage.color import rgb2gray
import matplotlib.image as mpimg


disk_image = mpimg.imread('pic_of_disk.png')
circle_image = mpimg.imread('pic_of_circle.png')
figure_eight_image = mpimg.imread('pic_of_figure_eight.png')
two_circles_image = mpimg.imread('pic_of_two_circles.png')

disk_gs_image = rgb2gray(disk_image)
circle_gs_image = rgb2gray(circle_image)
figure_eight_gs_image = rgb2gray(figure_eight_image)
two_circles_gs_image = rgb2gray(two_circles_image)

bn = betti_numbers()

bn.compute_betti_numbers(disk_gs_image, level = 0.5) 
# returns [1, 0]
bn.compute_betti_numbers(circle_gs_image, level = 0.5) 
# returns [1, 1]
bn.compute_betti_numbers(figure_eight_gs_image, level = 0.5) 
# returns [1, 2]
bn.compute_betti_numbers(two_circles_gs_image, level = 0.5) 
# returns [2, 2]

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT