I have an image and I am applying a mask on the image. I want to choose radomly points that belong to this mask. Is there a way of doing this?
from scipy import misc import numpy as np image = misc.face()[:,:,2] mask = image> image.max()*0.9 image = image*mask from skimage.morphology import local_maxima lm = local_maxima(image)
How do I get a random configuration of 10 points from lm ? I have found this workaround
x,y = local_maxima(lm,indices=True) coords = [(x[np.random.randint(low=0, high=len(x))],y[np.random.randint(low=0, high=len(x))]) for _ in range(10)]
Is there a better way of doing this?