Identify the argument-order mistake in this filter2D call.
import cv2, numpy as np kernel = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]], dtype=np.float32) out = cv2.filter2D(img, kernel, -1)
What is the bug in this convolution call?