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github.com/XLearning-SCU/2022-CVPR-DART
/ types & classes
Types & classes
24 in github.com/XLearning-SCU/2022-CVPR-DART
⨍
Functions
92
◇
Types & classes
24
↓ 7 callers
Class
ChannelRandomErasing
Randomly selects a rectangle region in an image and erases its pixels. 'Random Erasing Data Augmentation' by Zhong et al. See https
ChannelAug.py:95
↓ 7 callers
Class
embed_net
model.py:145
↓ 6 callers
Class
TestData
data_loader.py:361
↓ 5 callers
Class
AverageMeter
Computes and stores the average and current value
utils.py:102
↓ 5 callers
Class
ResNet
resnet.py:95
↓ 4 callers
Class
Non_local
model.py:16
↓ 3 callers
Class
ChannelAdapGray
Adaptive selects a channel or two channels. Args: probability: The probability that the Random Erasing operation will be performed.
ChannelAug.py:51
↓ 3 callers
Class
RegDBData
data_loader.py:194
↓ 3 callers
Class
SYSUData
data_loader.py:47
↓ 2 callers
Class
AllSampler
utils.py:218
↓ 2 callers
Class
ChannelExchange
Adaptive selects a channel or two channels. Args: probability: The probability that the Random Erasing operation will be performed.
data_loader.py:10
↓ 2 callers
Class
IdentitySampler
Sample person identities evenly in each batch. Args: train_color_label, train_thermal_label: labels of two modalities
utils.py:63
↓ 1 callers
Class
Normalize
model.py:6
↓ 1 callers
Class
RobustTripletLoss_final
loss.py:164
↓ 1 callers
Class
TripletLoss_ADP
Weighted Regularized Triplet'.
loss.py:64
↓ 1 callers
Class
TripletLoss_WRT
Weighted Regularized Triplet'.
loss.py:29
↓ 1 callers
Class
base_resnet
model.py:127
↓ 1 callers
Class
thermal_module
model.py:110
↓ 1 callers
Class
visible_module
model.py:93
Class
BasicBlock
resnet.py:24
Class
Bottleneck
resnet.py:56
Class
ChannelAdap
Adaptive selects a channel or two channels. Args: probability: The probability that the Random Erasing operation will be performed.
ChannelAug.py:12
Class
KLDivLoss
loss.py:119
Class
Logger
Write console output to external text file. Code imported from https://github.com/Cysu/open-reid/blob/master/reid/utils/logging.py.
utils.py:128