Pick Random Coordinates In Numpy Array Based On Condition

I have used convolution2d to generate some statistics on conditions of local patterns. To be complete, I'm working with images and the value 0.5 is my 'gray-screen', I cannot use m

Solution 1:

np.where and np.random.randint should do the trick :

#we grab the indexes of the ones
x,y = np.where(convoluted_image <=1)
#we chose one index randomly
i = np.random.randint(len(x))
random_pos = [x[i],y[i]]