Scikit-image

from skimage.draw import line

img = np.zeros((10, 10), dtype=np.uint8)

rows_ix, columns_ix = line(2, 3, 6, 7)

img[rows_ix, columns_ix] = 1

from skimage.measure import label

label(arr, connectivity=1) # up, down, left and right check

labelled_img = label(img == 0)

labels, counts = np.unique(labelled_img, return_counts=True)

from skimage.morphology import skeletonize, thin

from skimage.util import invert

 from skimage.feature import peak_local_max