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实现色彩分割基本步骤
其原理同静态图像色彩分割一致:OpenCV + Python 实现静态图像色彩分割
Code:
#--coding: utf-8--
import cv2 as cv
import numpy as np
def color_seperate():
capture = cv.VideoCapture('/home/pi/Desktop/绿裤子.mp4') #导入视频
while True:
ret, frame = capture.read() #获取每一帧图像信息
hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV) #将BGR 转化为HSV
lower_hsv = np.array([25, 30, 30]) #设定目标颜色上下限
upper_hsv = np.array([77, 255, 46])
mask = cv.inRange(hsv, lowerb=lower_hsv, upperb=upper_hsv) #开始分割绿色
dst = cv.bitwise_and(frame, frame, mask=mask) #实际是提取前两个frame 的“与”结果,然后输出mask 为1的部分
cv.imshow('video', frame)
cv.imshow('result', dst)
c = cv.waitKey(40)
if cv.waitKey(50) & 0xFF == ord('q'):
break
color_seperate()
cv.waitKey(0)
cv.destoryAllWindows()
结果: