INNER CODE UNIT · Python
sm
lucasb-eyer/pydensecrf · pydensecrf/utils.py:76
sm = scale * sm + (1 - scale) * uniform
if clip is not None:
sm = np.clip(sm, clip, 1.0)
return -np.log(sm).reshape([num_cls, -1]).astype(np.float32)
def softmax_to_unary(sm, GT_PROB=1):
"""Deprecated, use `unary_from_softmax` instead."""
warning("pydensecrf.softmax_to_unary is deprecated, use unary_from_softmax instead.")
scale = None if GT_PROB == 1 else GT_PROB
return unary_from_softmax(sm, scale, clip=None)
def create_pairwise_gaussian(sdims, shape):
"""
Util function that create pairwise gaussian potentials. This works for all
image dimensions. For the 2D case does the same as
`DenseCRF2D.addPairwiseGaussian`.