def colour_space_edge(self):
'''Determine spatial gradient in colour space'''
# TODO this should be done frame by frame to conserve memory
fV = np.float32(self.V)
dV_dy = pylab.vector_lengths(np.diff(fV, axis=1), axis=3)
dV_dx = pylab.vector_lengths(np.diff(fV, axis=2), axis=3)
# make the shapes compatible by discarding right and bottom edges
dV_dy = dV_dy[:,:,:-1]
dV_dx = dV_dx[:,:-1,:]
return asvideo(np.hypot(dV_dx, dV_dy))
def colour_space_edge(self):
'''Determine spatial gradient in colour space'''
# TODO this should be done frame by frame to conserve memory
fV = np.float32(self.V)
dV_dy = pylab.vector_lengths(np.diff(fV, axis=1), axis=3)
dV_dx = pylab.vector_lengths(np.diff(fV, axis=2), axis=3)
# make the shapes compatible by discarding right and bottom edges
dV_dy = dV_dy[:, :, :-1]
dV_dx = dV_dx[:, :-1, :]
return asvideo(np.hypot(dV_dx, dV_dy))
def colour_space_dt(self):
'''Determines the change for each pixel as the euclidean distance in
colourspace.'''
# TODO should this be done pixel by pixel to conserve memory
dV = np.diff(np.float32(self.V), axis=0)
dV_dt = pylab.vector_lengths(dV, axis=3)
return asvideo(np.squeeze(dV_dt))
def colour_space_dt(self):
'''Determines the change for each pixel as the euclidean distance in
colourspace.'''
# TODO should this be done pixel by pixel to conserve memory
dV = np.diff(np.float32(self.V), axis=0)
dV_dt = pylab.vector_lengths(dV, axis=3)
return asvideo(np.squeeze(dV_dt))
def ReduceToVecLengths(mcl):
"""
Calculate absoulute value of vectors stored in a list of wrapped
grib messages
Danger Will Robinson: This function has side effects on the first
element of the list!
However, if it is used as 'Reduce' function in the iterator, noone
will ever see the original element, so we don't care about side
effects.
"""
ret=mcl[0]
ret.putdata(vector_lengths(numpy.array(deepcopydatatolist(mcl)),axis=0))
return [ret]
