Python Opencv轨迹栏作为调色板对摄像头进行BGR取色

代码如下：

#BGR调试
import cv2 as cv
import numpy as np
def nothing(x):
    pass
cap = cv.VideoCapture(0)
img = np.zeros((300,512,3), np.uint8)
cv.namedWindow('image')

cv.createTrackbar('B_L','image',0,255,nothing)
cv.createTrackbar('B_H','image',0,255,nothing)
cv.createTrackbar('G_L','image',0,255,nothing)
cv.createTrackbar('G_H','image',0,255,nothing)
cv.createTrackbar('R_L','image',0,255,nothing)
cv.createTrackbar('R_H','image',0,255,nothing)

while(1):
    # 读取帧
    _, frame = cap.read()
    B_L = cv.getTrackbarPos('B_L','image')
    B_H = cv.getTrackbarPos('B_H','image')
    G_L = cv.getTrackbarPos('G_L','image')
    G_H = cv.getTrackbarPos('G_H','image')
    R_L = cv.getTrackbarPos('R_L','image')
    R_H = cv.getTrackbarPos('R_H','image')

    

    lower_ = np.array([B_L,G_L,R_L])
    upper_ = np.array([B_H,G_H,R_H])
    # 设置BGR的阈值使得只取该范围内颜色
    mask = cv.inRange(frame, lower_, upper_)
    # 将掩膜和图像逐像素相加
    res = cv.bitwise_and(frame,frame, mask= mask)
    cv.imshow('frame',frame)
    cv.imshow('mask',mask)
    cv.imshow('image',res)
    k = cv.waitKey(5) & 0xFF
    if k == 27:
        break
cv.destroyAllWindows()

注意：opencv捕获图像为BGR，与原始RGB有不同，注意甄别

内容来自山东科技大学2019级物联网机器视觉1组