Convolutions using OpenCV

convolutions.py

import cv2
import numpy as np
from matplotlib import pyplot as plt

image = cv2.imread("building.jpg")
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

horizontal_edges = cv2.filter2D(image, -1, np.array([
    [-1, -2, -1], 
    [ 0,  0,  0], 
    [ 1,  2,  1]
]))

vertical_edges = cv2.filter2D(image, -1, np.array([
    [-1, 0, 1], 
    [-2, 0, 2], 
    [-1, 0, 1]
]))

f, axs = plt.subplots(1, 3, figsize=(20, 20))

plt.subplot(1, 3, 1), plt.imshow(image)
plt.subplot(1, 3, 2), plt.imshow(horizontal_edges)
plt.subplot(1, 3, 3), plt.imshow(vertical_edges)

plt.setp(plt.gcf().get_axes(), xticks=[], yticks=[])