如何获取图像中像素的x，y（坐标）数组

import cv2
import numpy as np


img = cv2.imread("sample.jpg")
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)

# Create an array with HSV between 110,50,50 and 130,255,255
array = cv2.inRange(hsv, np.array([110,50,50]), np.array([130,255,255]))

np.nonzero(array)
# (array([ 1,  1,  1,  2, 12, 13, 15, 15, 15, 18, 19]),
#  array([13, 14, 18, 22, 21,  1, 20, 22, 23,  1, 30]))

这意味着像素 (1, 13)、(1, 14)、(1, 18)、(2, 22) 等位于我们给定的值之间。如果您希望它们已经配对：

np.transpose(np.nonzero(array))
# array([[ 1, 13],
#        [ 1, 14],
#        ...
#        [18,  1],
#        [19, 30]])