官網opencv練習題 最簡單的多物體分離技術

題目來源：https://docs.opencv.org/4.1.0/df/d9d/tutorial_py_colorspaces.html    最底部

題目：

1. Try to find a way to extract more than one colored objects, for eg, extract red, blue, green objects simultaneously.

非常簡單 多物體同時分離 就是把多個物體的掩膜矩陣相加

import cv2 as cv 
import numpy as np 

cap = cv.VideoCapture(0)

while(1):
	_,frame = cap.read()

	hsv = cv.cvtColor(frame,cv.COLOR_BGR2HSV)

	lower_blue = np.array([110,50,50])
	upper_blue = np.array([130,255,255])
	lower_green = np.array([0,50,50])
	upper_green = np.array([20,255,255])

	mask1 = cv.inRange(hsv,lower_blue,upper_blue)
	mask2 = cv.inRange(hsv,lower_green,upper_green)
	mask = mask2 + mask1
	res = cv.bitwise_and(frame,frame,mask=mask)

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

cv.destroyAllWindows()

 代碼有不懂的地方請查看類似代碼的官方代碼註釋

地址：https://docs.opencv.org/4.1.0/df/d9d/tutorial_py_colorspaces.html

 截圖如下：