bob.learn.pytorch
0.0.3
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Python API
bob.learn.pytorch
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Index
Index
A
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B
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C
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D
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F
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L
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M
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N
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R
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S
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T
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U
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V
A
avgpool (bob.learn.pytorch.architectures.CASIANet attribute)
(bob.learn.pytorch.architectures.CNN8 attribute)
B
batch_size (bob.learn.pytorch.trainers.CNNTrainer attribute)
bob.learn.pytorch.architectures (module)
bob.learn.pytorch.datasets (module)
bob.learn.pytorch.scripts (module)
bob.learn.pytorch.trainers (module)
C
CasiaDataset (class in bob.learn.pytorch.datasets)
CASIANet (class in bob.learn.pytorch.architectures)
CasiaWebFaceDataset (class in bob.learn.pytorch.datasets)
classifier (bob.learn.pytorch.architectures.CASIANet attribute)
(bob.learn.pytorch.architectures.CNN8 attribute)
CNN8 (class in bob.learn.pytorch.architectures)
CNNTrainer (class in bob.learn.pytorch.trainers)
ConcatDataset (class in bob.learn.pytorch.datasets)
conv (bob.learn.pytorch.architectures.CASIANet attribute)
(bob.learn.pytorch.architectures.CNN8 attribute)
D
drop_rate (bob.learn.pytorch.architectures.CASIANet attribute)
(bob.learn.pytorch.architectures.CNN8 attribute)
F
FaceCropper (class in bob.learn.pytorch.datasets)
forward() (bob.learn.pytorch.architectures.CASIANet method)
(bob.learn.pytorch.architectures.CNN8 method)
L
load_model() (bob.learn.pytorch.trainers.CNNTrainer method)
M
map_labels() (in module bob.learn.pytorch.datasets)
N
network (bob.learn.pytorch.trainers.CNNTrainer attribute)
Normalize (class in bob.learn.pytorch.datasets)
num_classes (bob.learn.pytorch.architectures.CASIANet attribute)
(bob.learn.pytorch.architectures.CNN8 attribute)
R
Resize (class in bob.learn.pytorch.datasets)
RollChannels (class in bob.learn.pytorch.datasets)
S
save_model() (bob.learn.pytorch.trainers.CNNTrainer method)
T
ToTensor (class in bob.learn.pytorch.datasets)
train() (bob.learn.pytorch.trainers.CNNTrainer method)
U
use_gpu (bob.learn.pytorch.trainers.CNNTrainer attribute)
V
verbosity_level (bob.learn.pytorch.trainers.CNNTrainer attribute)