How to find top_left, top_right, bottom_left, right coordinates in 2d mask where cell has specified value?

Question

I have 2D numpy array which is a mask from an image. Each cell has 0 or 1 value. So I would like to find top:left,right, bottom:left,right in an array

Answer 1

Using np.argwhere and itertools.product:

import numpy as np
from itertools import product

def corners(np_array):
    ind = np.argwhere(np_array)
    res = []
    for f1, f2 in product([min,max], repeat=2):
        res.append(f1(ind[ind[:, 0] == f2(ind[:, 0])], key=lambda x:x[1]))
    return res
corners(arr)

Output:

[array([1, 1], dtype=int64),
 array([2, 1], dtype=int64),
 array([1, 3], dtype=int64),
 array([2, 2], dtype=int64)]