def testHomographies(self):
ilog = None # pv.ImageLog()
flow = pv.OpticalFlow()
video = pv.Video(TAZ_VIDEO)
i = 0
prev_frame = None
for frame in video:
flow.update(frame)
flow.annotateFrame(frame)
if ilog != None:
print("Processing Frame:", i)
if hasattr(frame, 'to_prev'):
prev_im = frame.to_prev(frame)
ilog(prev_im, 'back', format='jpg')
if prev_frame != None:
forward_im = prev_frame.to_next(prev_frame)
ilog(forward_im, 'forward', format='jpg')
ilog(frame, "current", format='jpg')
i += 1
if i > 10: break
prev_frame = frame
if ilog != None:
ilog.show()
def testOpticalFlow(self):
ilog = None # pv.ImageLog()
flow = pv.OpticalFlow()
video = pv.Video(TAZ_VIDEO)
i = 0
for frame in video:
flow.update(frame)
flow.annotateFrame(frame)
if ilog != None:
print("Processing Frame:", i)
ilog(frame, format='jpg')
i += 1
if i > 10: break
if ilog != None:
ilog.show()
def __init__(self, imageBuffer, thresh=20, soft_thresh=False):
AbstractBGModel.__init__(self, imageBuffer, thresh, soft_thresh)
self._flow = pv.OpticalFlow()
if imageBuffer.isFull():
self._initFlow() #if a non-full buffer is given, then we
