gait-recognition.git - Unnamed repository; edit this file 'description' to name the repository.

Age	Commit message (Collapse)	Author
2021-03-03	Add L2 penalty to global	Jordan Gong

2021-03-01	New scheduler and new config	Jordan Gong

2021-02-28	Implement sum of loss default in [1]	Jordan Gong
	[1]A. Hermans, L. Beyer, and B. Leibe, “In defense of the triplet loss for person re-identification,” arXiv preprint arXiv:1703.07737, 2017.
2021-02-28	Modify default parameters	Jordan Gong
	1. Change ReLU to Leaky ReLU in decoder 2. Add 8-scale-pyramid in HPM
2021-02-27	Implement Batch Hard triplet loss and soft margin	Jordan Gong

2021-02-26	Update default config	Jordan Gong

2021-02-21	Remove FConv blocks	Jordan Gong

2021-02-18	Implement adjustable input size and change some default configs	Jordan Gong

2021-02-10	Implement new sampling technique mentioned in GaitPart[1]	Jordan Gong
	[1]C. Fan et al., “GaitPart: Temporal Part-Based Model for Gait Recognition,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 14225–14233.
2021-02-08	Code refactoring, modifications and new features	Jordan Gong
	1. Decode features outside of auto-encoder 2. Turn off HPM 1x1 conv by default 3. Change canonical feature map size from `feature_channels * 8 x 4 x 2` to `feature_channels * 2 x 16 x 8` 4. Use mean of canonical embeddings instead of mean of static features 5. Calculate static and dynamic loss separately 6. Calculate mean of parts in triplet loss instead of sum of parts 7. Add switch to log disentangled images 8. Change default configuration
2021-01-23	Add late start support for non-disentangling parts	Jordan Gong

2021-01-21	Bug fixes	Jordan Gong
	1. Turn off autograd while decoding canonical and pose features 2. Change default batch size to (4, 8)
2021-01-14	Enable optimizer fine tuning	Jordan Gong

2021-01-13	Update config file and convert int to str when joining	Jordan Gong

2021-01-13	Add multiple checkpoints for different model and set default config value	Jordan Gong

2021-01-12	Some changes in hyperparameter config	Jordan Gong
	1. Separate hyperparameter configs in model, optimizer and scheduler 2. Add more tunable hyperparameters in optimizer and scheduler
2021-01-07	Change device config and add enable multi-GPU computing	Jordan Gong
	1. Add `disable_acc` switch for disabling accelerator. When it is off, system will automatically choosing accelerator. 2. Enable multi-GPU training using torch.nn.DataParallel
2021-01-03	Update hyperparameter configuration, implement prototype fit function	Jordan Gong

2020-12-27	Change default dataset directory	Jordan Gong

2020-12-27	Make naming scheme consistent	Jordan Gong
	Use `dir` instead of `path`
2020-12-26	Add config file and corresponding type hint	Jordan Gong