def getPerspective():
e1 = cv2.getTickCount()
image = cv2.imread("thread.jpg", cv2.IMREAD_COLOR)
warp = perspective(image)
cv2.imwrite('warp.jpg', warp)
cv2.imshow("Frame", warp)
e2 = cv2.getTickCount()
t = (e2 - e1) / cv2.getTickFrequency()
print t
return warp
led_off(0)
led_off(1)
#Zeitmessung zwischen den beiden Bildern
if n > 0:
time_new = int(round(time.time() * 1000))
print 'time' ,(time_new-time_old)
n = 0
else:
time_old = int(round(time.time() * 1000))
n = 5
e1 = cv2.getTickCount()
#Funktion perspective in seperatem File
#warp = img1
warp = perspective(img1)
#cv2.imwrite('warp.jpg',warp)
e2 = cv2.getTickCount()
dif = (e2-e1)/cv2.getTickFrequency()
#print 'Zeit Prespektive:' ,dif
#Canny-Filter
#edges = cv2.Canny(warp,25,75,apertureSize = 3)
edges = cv2.Canny(warp,25,100,apertureSize = 3)
#Hough-Transformation
minLineLength=150
lines = cv2.HoughLinesP(image=edges,rho=1,theta=np.pi/180, threshold=100,lines=np.array([]), minLineLength=minLineLength,maxLineGap=80)
#Zeichnet Linien im Bild und berechnet den Winkel von diesen
