def push(self,imgcurr):
if (self.imgprev==None):
self.imgprev=imgcurr.copy()
assert(self.imgprev.shape==imgcurr.shape)
criteria=zcv.cvTermCriteria( zcv.CV_TERMCRIT_EPS+zcv.CV_TERMCRIT_ITER,self.maxiter,self.eps)
zcv.cvCalcOpticalFlowHS( self.imgprev, imgcurr, self.use_previous, self.imgvelx, self.imgvely, self.lambdav, criteria );
self.imgprev=imgcurr.copy()
return numpy.dstack([self.imgvelx,self.imgvely])
def push(self,imgcurr):
if (not self.imgprev):
self.imgprev=imgcurr
assert(self.imgprev.shape==imgcurr.shape)
prevpyr=NumPy2XIplFast(self.imgprev)
currpyr=NumPy2XIplFast(imgcurr)
prevfeatures=NumPy2XIplFast(self.imgprev)
currfeatures=NumPy2XIplFast(imgcurr)
count=0
criteria=zcv.cvTermCriteria( zcv.CV_TERMCRIT_EPS+zcv.CV_TERMCRIT_ITER,10,1.0)
velx=NumPy2XIplFast(self.imgvel[0])
vely=NumPy2XIplFast(self.imgvel[1])
zcv.cvCalcOpticalFlowPyrLK( self.imgprev, imgcurr, self.use_previous, velx, vely, self.lambdav, criteria );
self.imgprev=imgcurr
return self.imgvel
