OpenCV4【3】- GUI特性:轨迹栏作为调色板
作者:互联网
操作步骤:
1. cv2.createTrackbar 创建 rgb 轨迹栏
2. cv2.getTrackbarPos 获取 轨迹栏位置
3. 给图片着色
import numpy as np import cv2 as cv def nothing(x): pass # 创建一个黑色的图像,一个窗口 img = np.zeros((300, 512, 3), np.uint8) cv.namedWindow('image') # 创建颜色变化的轨迹栏 cv.createTrackbar('R', 'image', 0, 255, nothing) cv.createTrackbar('G', 'image', 0, 255, nothing) cv.createTrackbar('B', 'image', 0, 255, nothing) # 为 ON/OFF 功能创建开关 switch = '0 : OFF \n1 : ON' cv.createTrackbar(switch, 'image', 0, 1, nothing) while(1): cv.imshow('image', img) k = cv.waitKey(1) & 0xFF if k == 27: break # 得到四条轨迹的当前位置 r = cv.getTrackbarPos('R', 'image') g = cv.getTrackbarPos('G', 'image') b = cv.getTrackbarPos('B', 'image') s = cv.getTrackbarPos(switch, 'image') if s == 0: img[:] = 0 else: img[:] = [b, g, r] # print(img) cv.destroyAllWindows()
参考资料:
https://blog.csdn.net/qq_18995069/article/details/83050060 【Python+OpenCV入门学习】七、轨迹条操作
https://blog.csdn.net/qq_40755643/article/details/84887729 OpenCV-Python-(7)-Trackbar轨迹栏目
https://www.jb51.net/article/182241.htm Python Opencv 通过轨迹(跟踪)栏实现更改整张图像的背景颜色
标签:createTrackbar,轨迹,img,GUI,调色板,cv,OpenCV4,getTrackbarPos,image 来源: https://www.cnblogs.com/yanshw/p/15346338.html