def setHomographies(self, display = False):
'''
gets the best homography for all the images that are a part of the panorama
'''
for j in range(len(self.panImages) - 1):
imageOne = self.panImages[j].getNpImg()
imageTwo = self.panImages[j+1].getNpImg()
#Displays the image info if display is true
if display == True:
imgutil.imageInfo(imageOne, "One")
imgutil.imageInfo(imageTwo, "Two")
imageOne = self.panImages[j].getImg()
imageTwo = self.panImages[j+1].getImg()
#points from the second image are being warped to the first
homography = self.automaticFeatures.getBestHomography(imageOne, imageTwo)
self.removeSquares()
self.homographies.append(homography)
self.panImages[j + 1].setHomography(homography)
count = 0
span = 20
t0 = time.time()
key = None
# run a loop until the escape key is pressed
while key != 27:
# grab a frame from the camera
flag, frame = cam.read()
# modify the image
cy, cx = frame.shape[0]/2, frame.shape[1]/2
frame=frame.astype(numpy.int32)
frame[cy-100:cy+100, cx-100:cx+100, 2] *= 1.5
frame[frame>255]=255
frame=frame.astype(numpy.uint8)
# display the frame in a window
cv2.imshow("camera", frame)
# show image info and frame rate
count += 1
if count % span == 0:
t1 = time.time()
fps = span / (t1 - t0)
message = "{0:4} ({1:8.3f} fps)".format(count, fps)
imgutil.imageInfo(frame, message)
t0 = t1
key = cv2.waitKey(10)
# The new version of OpenCV (2.3.1) uses the cv2 package
import cv2
import imgutil
# open a connection to a usb-connected camera, e.g webcam
cam = cv2.VideoCapture(0)
# open a video file
# cam = cv2.VideoCapture("countdown.avi")
# run a loop until the escape key is pressed
while cv2.waitKey(20) != 27:
# grab a frame from the camera
flag, frame = cam.read()
# display the frame in a window
cv2.imshow("camera", frame)
imgutil.imageInfo(frame, "info")