IMLCV.implementations.tensorflow package

IMLCV.implementations.tensorflow package#

Submodules#

IMLCV.implementations.tensorflow.CV module#

IMLCV.implementations.tensorflow.CvDiscovery module#

class IMLCV.implementations.tensorflow.CvDiscovery.TranformerUMAP(*, outdim, descriptor=None, pre_scale=True, post_scale=True, decoder=False, nunits=256, nlayers=3, parametric=True, densmap=False, n_neighbors=20)#

Bases: Transformer

decoder: bool = False#
densmap: bool = False#
n_neighbors: int = 20#
nlayers: int = 3#
nunits: int = 256#
parametric: bool = True#
replace(**updates)#

Returns a new object replacing the specified fields with new values.

class IMLCV.implementations.tensorflow.CvDiscovery.hkFunBase(*, kwargs=<factory>, static_kwargs=<factory>, fwd_params, fwd_kwargs, bwd_params=None, bwd_kwargs=None)#

Bases: CvFunBase

bwd_kwargs: dict | None = None#
bwd_params: dict | None = None#
fwd_kwargs: dict#
fwd_params: dict#
replace(**updates)#

Returns a new object replacing the specified fields with new values.

IMLCV.implementations.tensorflow.CvDiscovery.umap_encoder(x, nlayers, nunits, outdim)#
IMLCV.implementations.tensorflow.CvDiscovery.umap_function(x, nl, c, enc)#

Module contents#

Contents