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Types & classes22 in github.com/tim-learn/SHOT

⨍ Functions 190◇ Types & classes 22

↓ 7 callersClassImageList

object/data_list.py:33

↓ 6 callersClassImageList_idx

object/data_list.py:61

↓ 1 callersClassCrossEntropyLabelSmooth

Cross entropy loss with label smoothing regularizer. Reference: Szegedy et al. Rethinking the Inception Architecture for Computer Vision. CVPR

object/loss.py:54

↓ 1 callersClassStandardTransform

digit/data_load/vision.py:54

ClassCrossEntropyLabelSmooth

digit/loss.py:15

digit/network.py:52

digit/network.py:76

`MNIST <http://yann.lecun.com/exdb/mnist/>`_ Dataset. Args: root (string): Root directory of dataset where ``MNIST/processed/training.pt`

digit/data_load/mnist.py:14

`MNIST <http://yann.lecun.com/exdb/mnist/>`_ Dataset. Args: root (string): Root directory of dataset where ``MNIST/processed/training.pt`

digit/data_load/mnist.py:170

object/network.py:120

object/network.py:47

`SVHN <http://ufldl.stanford.edu/housenumbers/>`_ Dataset. Note: The SVHN dataset assigns the label `10` to the digit `0`. However, in this Datase

digit/data_load/svhn.py:9

`SVHN <http://ufldl.stanford.edu/housenumbers/>`_ Dataset. Note: The SVHN dataset assigns the label `10` to the digit `0`. However, in this Datase

digit/data_load/svhn.py:116

USPS Dataset. Args: root (string): Root directory of dataset where dataset file exist. train (bool, optional): If True, resampl

digit/data_load/usps.py:19

USPS Dataset. Args: root (string): Root directory of dataset where dataset file exist. train (bool, optional): If True, resampl

digit/data_load/usps.py:112

object/network.py:28

ClassVisionDataset

digit/data_load/vision.py:6

Classfeat_bottleneck

digit/network.py:23

Classfeat_bottleneck

object/network.py:75

Classfeat_classifier

digit/network.py:39

Classfeat_classifier

object/network.py:91

Classfeat_classifier_two

object/network.py:106