xmin = int(arguments['<xmin>'])
ymin = int(arguments['<ymin>'])
xmax = int(arguments['<xmax>'])
ymax = int(arguments['<ymax>'])
x = xmax-xmin
y = ymax-ymin
cap = cv.CaptureFromFile(video)
score = {}
c_frame = -1
maxIntensity = 255.0
phi = 1
theta = 1
contours = cv2.imread(logo)
hist_logo = tools.calcul_hist(contours, x*4, y*4, None)
contours2 = cv2.imread(logo2)
hist_logo2 = tools.calcul_hist(contours2, x*4, y*4, None)
while(c_frame<(cv.GetCaptureProperty(cap, cv.CV_CAP_PROP_FRAME_COUNT)-1)):
frame = cv.QueryFrame(cap)
c_frame += 1
if frame:
frame = frame[ymin:ymax, xmin:xmax]
frame_a = np.asarray(frame)
frame_a = cv2.resize(frame_a, (0,0), fx=4, fy=4)
if cv.WaitKey(1) & 0xFF == ord('q'):
break
newImage0 = (maxIntensity/phi)*(frame_a/(maxIntensity/theta))**2
newImage0 = array(newImage0,dtype=uint8)