클릭으로 HSV 색 추출

import cv2 as cv
import numpy as np

hsv = 0
lower_blue1 = 0
upper_blue1 = 0
lower_blue2 = 0
upper_blue2 = 0
lower_blue3 = 0
upper_blue3 = 0

def mouse_callback(event, x, y, flags, param):
global hsv, lower_blue1, upper_blue1, lower_blue2, upper_blue2, lower_blue3, upper_blue3

if event == cv.EVENT_LBUTTONDOWN:
print(img_color[y, x])
color = img_color[y,x]

one_pixel = np.uint8([[color]])
hsv = cv.cvtColor(one_pixel, cv.COLOR_BGR2HSV)
hsv = hsv[0][0]

# HSV 색공간에서 마우스 클릭으로 얻은 픽셀값과 유사한 픽셀값의 범위를 정합니다.
if hsv[0] < 10:
print("case1")
lower_blue1 = np.array([hsv[0] - 10 + 180, 30, 30])
upper_blue1 = np.array([180, 255, 255])
lower_blue2 = np.array([0, 30, 30])
upper_blue2 = np.array([hsv[0], 255, 255])
lower_blue3 = np.array([hsv[0], 30, 30])
upper_blue3 = np.array([hsv[0] + 10, 255, 255])
# print(i-10+180, 180, 0, i)
# print(i, i+10)

elif hsv[0] > 170:
print("case2")
lower_blue1 = np.array([hsv[0], 30, 30])
upper_blue1 = np.array([180, 255, 255])
lower_blue2 = np.array([0, 30, 30])
upper_blue2 = np.array([hsv[0] + 10 - 180, 255, 255])
lower_blue3 = np.array([hsv[0] - 10, 30, 30])
upper_blue3 = np.array([hsv[0], 255, 255])
# print(i, 180, 0, i+10-180)
# print(i-10, i)
else:
print("case3")
lower_blue1 = np.array([hsv[0], 30, 30])
upper_blue1 = np.array([hsv[0] + 10, 255, 255])
lower_blue2 = np.array([hsv[0] - 10, 30, 30])
upper_blue2 = np.array([hsv[0], 255, 255])
lower_blue3 = np.array([hsv[0] - 10, 30, 30])
upper_blue3 = np.array([hsv[0], 255, 255])
# print(i, i+10)
# print(i-10, i)

print(hsv[0])
print("@1", lower_blue1, "~", upper_blue1)
print("@2", lower_blue2, "~", upper_blue2)
print("@3", lower_blue3, "~", upper_blue3)

cv.namedWindow('img_color')
cv.setMouseCallback('img_color', mouse_callback)


while(True):
img_color = cv.imread('img/color.jpg')
height, width = img_color.shape[:2]
img_color = cv.resize(img_color, (width, height), interpolation = cv.INTER_AREA)

# 원본 이미지를 HSV 이미지로 변환한다.
img_hsv = cv.cvtColor(img_color, cv.COLOR_BGR2HSV)

# 범위 값으로 HSV 이미지에서 마스크를 생성한다.
img_mask1 = cv.inRange(img_hsv, lower_blue1, upper_blue1)
img_mask2 = cv.inRange(img_hsv, lower_blue2, upper_blue2)
img_mask3 = cv.inRange(img_hsv, lower_blue3, upper_blue3)
img_mask = img_mask1 | img_mask2 | img_mask3

# 마스크 이미지로 원본 이미지에서 범위값에 해당되는 영상 부분을 획득한다.
img_result = cv.bitwise_and(img_color, img_color, mask=img_mask)

cv.imshow('img_color', img_color)
cv.imshow('img_mask', img_mask)
cv.imshow('img_result', img_result)

if cv.waitKey(1) & 0XFF == 27:
break

cv.destroyAllWindows()