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
