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gait-recognition.git
data_parallel
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disentangling_only_py3.7
disentangling_only_py3.8
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Author
2021-04-10
Calculate pose similarity loss and canonical consistency loss of each part af...
Jordan Gong
2021-04-08
Ignore notebooks
Jordan Gong
2021-04-08
Add stop step for scheduler
Jordan Gong
2021-04-07
Revert cross-reconstruction loss factor and make image log steps adjustable
Jordan Gong
2021-04-06
Turn off gradient when decoding images
Jordan Gong
2021-04-06
Network modification
Jordan Gong
2021-04-03
Revert "Normalize triplet losses"
Jordan Gong
2021-03-27
Normalize triplet losses
Jordan Gong
2021-03-25
Bug fixes and refactoring
Jordan Gong
2021-03-23
Fix indexing bugs in validation dataset selector
Jordan Gong
2021-03-22
Add embedding visualization and validate on testing set
Jordan Gong
2021-03-16
Set *_iter as *_iters in default
Jordan Gong
2021-03-15
Remove redundant wrapper given by dataloader
Jordan Gong
2021-03-15
Fix redundant gallery_dataset_meta assignment
Jordan Gong
2021-03-15
Support transforming on training datasets
Jordan Gong
2021-03-14
Bug fix when transforming and new config
Jordan Gong
2021-03-14
Fix unbalanced datasets
Jordan Gong
2021-03-12
Fix a typo when record none-zero counts
Jordan Gong
2021-03-12
Make evaluate method static
Jordan Gong
2021-03-12
Code refactoring
Jordan Gong
2021-03-10
Bug fixes
Jordan Gong
2021-03-08
Bump up package version
Jordan Gong
2021-03-05
Bump up torch version
Jordan Gong
2021-03-04
Replace detach with no_grad in evaluation
Jordan Gong
2021-03-04
Set seed for reproducibility
Jordan Gong
2021-03-03
Add L2 penalty to global
Jordan Gong
2021-03-02
Record learning rate every step
Jordan Gong
2021-03-02
Fix bugs in new scheduler
Jordan Gong
2021-03-01
New scheduler and new config
Jordan Gong
2021-03-01
Change flat distance calculation method
Jordan Gong
2021-03-01
Move pairs variable to local
Jordan Gong
2021-03-01
Remove identical sample in Batch All case
Jordan Gong
2021-02-28
Implement sum of loss default in [1]
Jordan Gong
2021-02-28
Log n-ile embedding distance and norm
Jordan Gong
2021-02-28
Modify default parameters
Jordan Gong
2021-02-28
Bump up version for tqdm
Jordan Gong
2021-02-27
Implement Batch Hard triplet loss and soft margin
Jordan Gong
2021-02-26
Update default config
Jordan Gong
2021-02-26
Fix predict function
Jordan Gong
2021-02-21
Remove FConv blocks
Jordan Gong
2021-02-20
Separate triplet loss from model
Jordan Gong
2021-02-19
Allow evaluate unfinished model
Jordan Gong
2021-02-19
Bump up tqdm version
Jordan Gong
2021-02-18
Implement adjustable input size and change some default configs
Jordan Gong
2021-02-18
Remove 1x1 conv layers when not used
Jordan Gong
2021-02-18
Decode mean appearance feature
Jordan Gong
2021-02-18
Decode mean appearance feature
Jordan Gong
2021-02-17
Fix type hints and add constrains to height and width
Jordan Gong
2021-02-17
Add new preprocess script
Jordan Gong
2021-02-16
Split transform and evaluate method
Jordan Gong
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