opencv基础操作02

day2
# 
# 提取图像透视转换
# img=cv2.imread("F:/google/fktest.jpg")
# cv2.imshow("Init",img)
# width,height=250,250
# waitdots=np.float32([[308,319],[366,300],[381,345],[437,321]])
# resultd=np.float32([[0,0],[width,0],[0,height],[width,height]])
# martix=cv2.getPerspectiveTransform(waitdots,resultd)
# imgout=cv2.warpPerspective(img,martix,(width,height))
# cv2.imshow("out2",imgout)
# cv2.waitKey(0)
# 
# 图像堆叠
# imgHor=np.hstack((img,img))
# imgVer=np.vstack((img,img))
# cv2.imshow("1",imgHor)
# cv2.imshow("2",imgVer)
# cv2.waitKey(0)
# 
# 色彩提取
# def emptyFun():
#     pass
# cv2.namedWindow("TrackBars")
# cv2.resizeWindow("TrackBars",640,240)
# cv2.createTrackbar("Hue Min","TrackBars",0,179,emptyFun)
# cv2.createTrackbar("Hue Max","TrackBars",179,179,emptyFun)
# cv2.createTrackbar("Sat Min","TrackBars",0,255,emptyFun)
# cv2.createTrackbar("Sat Max","TrackBars",255,255,emptyFun)
# cv2.createTrackbar("Val Min","TrackBars",0,255,emptyFun)
# cv2.createTrackbar("Val Max","TrackBars",255,255,emptyFun)
# while True:
#     img = cv2.imread("F:/google/qc.jpg")
#     imgHSV=cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
#     h_min=cv2.getTrackbarPos("Hue Min","TrackBars")
#     h_max=cv2.getTrackbarPos("Hue Max","TrackBars")
#     s_min=cv2.getTrackbarPos("Sat Min","TrackBars")
#     s_max=cv2.getTrackbarPos("Sat Max","TrackBars")
#     v_min=cv2.getTrackbarPos("Val Min","TrackBars")
#     v_max=cv2.getTrackbarPos("Val Max","TrackBars")
# 
#     print(h_min,h_max,s_min,s_max,v_min,v_max)
#     low=np.array([h_min,s_min,v_min])
#     high = np.array([h_max, s_max, v_max])
#     mask=cv2.inRange(imgHSV,low,high)
#     imgRes=cv2.bitwise_and(img,img,mask=mask)
#     cv2.imshow("0",img)
#     cv2.imshow("1",imgHSV)
#     cv2.imshow("2", mask)
#     cv2.imshow("3", imgRes)
#     cv2.waitKey(1)
# 
# until 7522