Пример #1
0
end = 2*nx//3

kf = IteratedMSKalmanFilter(distmesh, frame, flowframe, cuda)

#Now perturb the positions a bit...
kf.state.X = kf.state.X*1.2
kf.state.refresh()

rend = kf.state.renderer
cuda = kf.state.renderer.cudagl 
kf.state.render()
state = kf.state 
nx = nx 
deltaX = -2

nF = video.shape[2]
nI = 10
count = 0

for i in range(500):
	count += 1
	print 'Frame %d' % count 
	#frame = video[:,:,i]
	#mask = (frame > 0).astype(np.uint8)
	#flowframe = flow[:,:,:,i]
	kf.predict()
	kf.state.refresh()
	kf.state.render()
	#Wait for user input:
	raw_input("Press enter to continue, ctrl-d to quit")