def transform_streamels(self, streamels):
check_streamels_2D(streamels)
shape = streamels.shape
# TODO: use normal function
if not streamels_all_of_kind(streamels, ValueFormats.Discrete):
msg = 'Bits2int only supports discrete streams.'
raise UnsupportedSpec(msg)
if (np.any(streamels['lower'] != 0) or
np.any(streamels['upper'] != 1)):
msg = 'I expect only bits as input.'
raise UnsupportedSpec(msg)
nvalues, nbits = shape
max_value = int(2 ** nbits - 1)
self.codewords = self.codefunc(max_value)
self.codewords_inv = {}
for i, x in enumerate(self.codewords):
self.codewords_inv[x] = i
# print('codewords: %s' % self.codewords)
streamels2 = np.zeros(nvalues, streamel_dtype)
streamels2['kind'] = ValueFormats.Discrete
streamels2['lower'] = 0
streamels2['upper'] = 2 ** nbits - 1
streamels2['default'] = self.transform_value(streamels['default'])
return streamels2
def transform_streamels(self, streamels):
check_streamels_2D(streamels)
check_streamels_range(streamels, 0, 1)
_, W = streamels.shape
streamels2 = make_streamels_1D_float(nstreamels=W, lower=0, upper=1)
return streamels2
def transform_streamels(self, streamels):
# Check that it is a 2D float image
check_streamels_2D(streamels)
check_streamels_continuous(streamels)
self.shape_from = streamels.shape
self.vmin = np.min(streamels['lower'])
self.vmax = np.max(streamels['upper'])
return make_streamels_2D_float(self.shape_to,
lower=self.vmin, upper=self.vmax)
def transform_streamels(self, streamels):
check_streamels_2D(streamels)
check_streamels_continuous(streamels)
check_streamels_range(streamels, 0, 1)
N, _ = streamels.shape
shape2 = N,
streamels2 = np.empty(shape=shape2, dtype=streamel_dtype)
streamels2['kind'].flat[:] = ValueFormats.Continuous
streamels2['lower'].flat[:] = 0
streamels2['upper'].flat[:] = 1
streamels2['default'] = self.transform_value(streamels['default'])
return streamels2
