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

Age	Commit message (Collapse)	Author
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

2021-03-25	Bug fixes and refactoring	Jordan Gong
	1. Correct trained model signature 2. Move `val_size` to system config
2021-03-22	Add embedding visualization and validate on testing set	Jordan Gong

2021-03-12	Code refactoring	Jordan Gong
	1. Separate FCs and triplet losses for HPM and PartNet 2. Remove FC-equivalent 1x1 conv layers in HPM 3. Support adjustable learning rate schedulers
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.
2021-02-27	Implement Batch Hard triplet loss and soft margin	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

2021-01-14	Enable optimizer fine tuning	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

2020-12-29	Encode class names to label and some access improvement	Jordan Gong
	1. Encode class names using LabelEncoder from sklearn 2. Remove unneeded class variables 3. Protect some variables from being accessed in userspace
2020-12-27	Make naming scheme consistent	Jordan Gong
	Use `dir` instead of `path`
2020-12-27	Add dataset selector to config type hint, change ClipLabels typo to ClipViews	Jordan Gong

2020-12-27	Adopt type hinting generics in standard collections (PEP 585)	Jordan Gong

2020-12-26	Add config file and corresponding type hint	Jordan Gong