顏色的HSV上下限如下表：
import cv2 as cv
import numpy as np
cap = cv.VideoCapture(0)
lower_color = np.array([0, 43, 46])
upper_color = np.array([10, 255, 255])
while cap.isOpened():
# 讀取幀
_, frame = cap.read()
# 轉換顏色空間 BGR 到 HSV
hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV)
# 設置HSV的閾值使得只取某色
mask = cv.inRange(hsv, lower_color, upper_color)
# 將掩膜和圖像逐像素相加
res = cv.bitwise_and(frame, frame, mask=mask)
# cv.imshow('frame', frame)
cv.imshow('mask', mask)
cv.imshow('res', res)
if cv.waitKey(1) == ord("q"):
break
cv.destroyAllWindows()
結果如下：
import cv2 as cv
import numpy as np
cap = cv.VideoCapture(0)
lower_red = np.array([0, 43, 46])
upper_red = np.array([10, 255, 255])
lower_blue = np.array([100, 43, 46])
upper_blue = np.array([124, 255, 255])
while cap.isOpened():
_, frame = cap.read()
hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV)
mask1 = cv.inRange(hsv, lower_red, upper_red)
mask2 = cv.inRange(hsv, lower_blue, upper_blue)
mask = mask1 + mask2
res = cv.bitwise_and(frame, frame, mask=mask)
# cv.imshow('frame', frame)
cv.imshow('mask', mask)
cv.imshow('res', res)
if cv.waitKey(1) == ord("q"):
break
cv.destroyAllWindows()
【1】OpenCV中HSV顏色模型及顏色分量范圍
到此這篇關于Opencv對象追蹤的示例代碼的文章就介紹到這了,更多相關Opencv 對象追蹤內容請搜索腳本之家以前的文章或繼續瀏覽下面的相關文章希望大家以后多多支持腳本之家！
