segmentation_array.py

def extremeValues(mask):
    element_x = [] 
    element_y = []

    for coord in mask:
        element_x.append(coord[0])
        element_y.append(coord[1])

    # (minX, maxX, minY, maxY)
    return (min(element_x), max(element_x), min(element_y), max(element_y))

def areaOfInterest(extremeValues, image):
    minX = int(extremeValues[0])
    maxX = int(extremeValues[1])
    minY = int(extremeValues[2])
    maxY = int(extremeValues[3])
    print(type(minY))

    area = [[image[i, a] for a in range(minY, maxY + 1)]  for i in range(minX, maxX + 1)]
    
    return area

def print_array(array):
    for i in range(len(array)):
        for j in range(len(array[0])):
            print(array[i][j], end = " ")
        print()

Acho que area = [[ imagem[i, a] for a in range(minY, maxY + 1)] for i in range(minX, maxX + 1)], sendo que imagem é a imagem original, que vc pode passar como parâmetro.

good idea!

ready! 🚀