Opencv(Python版)-5 提取视频中彩色对象

拍摄视频的每一帧，从BGR转换为HSV颜色空间，将HSV图像阈值为一系列蓝色，现在单独提取蓝色对象。

提取蓝色对象

以下是详细的代码：

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

while(1):

    # Take each frame
    _, frame = cap.read()

	#高斯模糊，去除噪音
	frame = cv2.GaussianBlur(frame, (3, 3), 0)
	
    # Convert BGR to HSV
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

    # define range of blue color in HSV
    lower_blue = np.array([30,100,100])
    upper_blue = np.array([130,255,255])

    # Threshold the HSV image to get only blue colors
    mask = cv2.inRange(hsv, lower_blue, upper_blue)

    # Bitwise-AND mask and original image
    res = cv2.bitwise_and(frame,frame, mask= mask)

    cv2.imshow('frame',frame)
    cv2.imshow('mask',mask)
    cv2.imshow('res',res)
    k = cv2.waitKey(5) & 0xFF
    if k == 27:
        break

cv2.destroyAllWindows()

如何找到要跟踪的HSV值？

green = np.uint8([[[0,255,0 ]]])
hsv_green = cv2.cvtColor(green,cv2.COLOR_BGR2HSV)
print(hsv_green)

输出为：[[[ 60 255 255]]]，将RGB格式转换为hsv，输出它的值就可以了。