How to find a shape inside a 2D Numpy array while having an outline?

Question

Python

I have a shape contour - cnt, I need to find it inside a two-dimensional array, I have a target_index variable, it is used to find the required zone, but I need to find the cnt contour zone in it.

import numpy as np

x = np.linspace(0,1000, int(1000/50))
y = np.linspace(0,1000, int(1000/50))
X,Y = np.meshgrid(x,y)

source =  np.column_stack([X.ravel(), Y.ravel()]).astype(int)
destination = source.copy()

#cnt = 

# Need to use cnt here
target_index = np.where(np.logical_and(destination[:,1]==789,destination[:,0]>=421))

destination[target_index]
scope = destination[target_index] 
scope[:,0] = scope[:,0] + 10
destination[target_index] = scope
destination[target_index]

Answer 1

A suitable solution is probably contained in the scikit-image library. In any case, the library solution will work faster than any implemented by means of the language itself.