python opencv实现 12色相环、24色相环（基于RGB空间和基于HSV空间实现）

opencv中HSV的值范围是：H 0-180；S 0-255； V 0-255

import cv2
from PIL import Image
import numpy as npdef fetch_img(img, first_list, color_value_list, width, height):r,g,b = color_value_listsec_list = [0, width, 2*width]third_value_list = [0, 1, 2]img[first_list[0]:first_list[1], sec_list[0]:sec_list[1], third_value_list[0]] = np.full((height, width),b)img[first_list[0]:first_list[1], sec_list[0]:sec_list[1], third_value_list[1]] = np.full((height, width),g)img[first_list[0]:first_list[1], sec_list[0]:sec_list[1], third_value_list[2]] = np.full((height, width),r)img[first_list[0]:first_list[1], sec_list[1]:sec_list[2], third_value_list[0]] = np.full((height, width),255 - b)img[first_list[0]:first_list[1], sec_list[1]:sec_list[2], third_value_list[1]] = np.full((height, width),255 - g)img[first_list[0]:first_list[1], sec_list[1]:sec_list[2], third_value_list[2]] = np.full((height, width),255 - r)return imgdef fetch_img2(img, first_list, color_value_list, width, height):h,s,v = color_value_list# print("%d\t%d"%(h, 90+h if h<90 else h-90 ))#opencv中色相环是顺时针的，和网上图片一样sec_list = [0, width, 2*width]third_value_list = [0, 1, 2]img[first_list[0]:first_list[1], sec_list[0]:sec_list[1], third_value_list[0]] = np.full((height, width),h)img[first_list[0]:first_list[1], sec_list[0]:sec_list[1], third_value_list[1]] = np.full((height, width),s)img[first_list[0]:first_list[1], sec_list[0]:sec_list[1], third_value_list[2]] = np.full((height, width),v)img[first_list[0]:first_list[1], sec_list[1]:sec_list[2], third_value_list[0]] = np.full((height, width),90+h if h<360 else h-90)img[first_list[0]:first_list[1], sec_list[1]:sec_list[2], third_value_list[1]] = np.full((height, width),s)img[first_list[0]:first_list[1], sec_list[1]:sec_list[2], third_value_list[2]] = np.full((height, width),v)return imgdef generate_chart():width = 100height = 50#RGB模型下画12色相环color_num = 12background = np.zeros((color_num*height,2*width,3))color_dict = {"red":[255,0,0],"orange":[255,128,0],"yellow":[255, 255, 0],"yellowgreen":[128, 255, 0],"green":[0, 255, 0],"cyan_green":[0, 255, 128],"cyan":[0, 255, 255],"indigo":[0,128,255],"blue":[0, 0, 255],"purple":[128, 0, 255],"magenta":[255, 0, 255],"purple_red":[255, 0, 128]}color_list = ['red', 'orange', 'yellow', 'yellowgreen', 'green', 'cyan_green', 'cyan', 'indigo', 'blue', 'purple', 'magenta', 'purple_red']pos_list = range(0,(color_num+1)*height,height)for num in range(len(color_list)):color = color_list[num]color_value_list = color_dict[color]pos_value = [pos_list[num],pos_list[num+1]]background = fetch_img(background, pos_value, color_value_list,width, height)cv2.imwrite("12.jpg", background)# cv2.imshow("src_12",background)#RGB模式下画24色相环color_num = 24background = np.zeros((color_num*height,2*width,3))color_dict = {"red":[255,0,0],"red_orange":[255,64,0],"orange":[255,128,0],"orange_yellow":[255, 192, 0],"yellow":[255, 255, 0],"yellowyellowgreen":[192, 255, 0],"yellowgreen":[128, 255, 0],"yellowgreengreen":[64, 255, 0],"green":[0, 255, 0],"green_cyan_green":[0, 255, 64],"cyan_green":[0, 255, 128],"cyan_green_cyan":[0, 255, 192],"cyan":[0, 255, 255],"cyan_indigo":[0,192,255],"indigo":[0,128,255],"indigo_blue":[0, 64, 255],"blue":[0, 0, 255],"blue_purple":[64, 0, 255],"purple":[128, 0, 255],"purple_magenta":[192, 0, 255],"magenta":[255, 0, 255],"magenta_purple_red":[255, 0, 192],"purple_red":[255, 0, 128],"purple_red_red":[255,0,64]}color_list = ['red', "red_orange",'orange',"orange_yellow",'yellow', "yellowyellowgreen",'yellowgreen',"yellowgreengreen",'green', "green_cyan_green",'cyan_green',"cyan_green_cyan",'cyan', 'cyan_indigo','indigo','indigo_blue', 'blue', 'blue_purple','purple', 'purple_magenta','magenta','magenta_purple_red', 'purple_red',"purple_red_red"]pos_list = range(0,(color_num+1)*height,height)for num in range(len(color_list)):color = color_list[num]color_value_list = color_dict[color]pos_value = [pos_list[num],pos_list[num+1]]background = fetch_img(background, pos_value, color_value_list,width, height)cv2.imwrite("24.jpg", background)#HSV模式下画12色相环color_num = 12background = np.zeros((color_num * height, 2 * width, 3))# color_dict = {"red": [0, 255, 255], "orange": [30, 255, 255], "yellow": [60, 255, 255],"yellowgreen": [90, 255, 255], "green": [120, 255, 255], "cyan_green": [150, 255, 255],"cyan": [180, 255, 255], "indigo": [210, 255, 255], "blue": [240, 255, 255],"purple": [270, 255, 255], "magenta": [300, 255, 255], "purple_red": [330, 255, 255]}color_dict = {"red": [0, 255, 255], "orange": [15, 255, 255], "yellow": [30, 255, 255],"yellowgreen": [45, 255, 255], "green": [60, 255, 255], "cyan_green": [75, 255, 255],"cyan": [90, 255, 255], "indigo": [105, 255, 255], "blue": [120, 255, 255],"purple": [135, 255, 255], "magenta": [150, 255, 255], "purple_red": [165, 255, 255]}color_list = ['red', 'orange', 'yellow', 'yellowgreen', 'green', 'cyan_green', 'cyan', 'indigo', 'blue', 'purple','magenta', 'purple_red']pos_list = range(0, (color_num + 1) * height, height)background = cv2.cvtColor(np.uint8(background), cv2.COLOR_BGR2HSV)for num in range(len(color_list)):color = color_list[num]color_value_list = color_dict[color]pos_value = [pos_list[num],pos_list[num+1]]background = fetch_img2(background, pos_value, color_value_list,width, height)background = cv2.cvtColor(background, cv2.COLOR_HSV2BGR)cv2.imwrite("12_hsv.jpg",background)def process():generate_chart()if __name__ == "__main__":process()

12色相环_rgb模式下 12色相环_hsv模式下 24色相环_rgb模式下和下图对比效果是一样的

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python opencv实现 12色相环、24色相环（基于RGB空间和基于HSV空间实现）

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