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

Age	Commit message (Collapse)	Author
2021-01-12	Some type hint fixes	Jordan Gong

2021-01-12	Typo correct in evaluate function	Jordan Gong

2021-01-11	Add evaluation script, code review and fix some bugs	Jordan Gong
	1. Add new `train_all` method for one shot calling 2. Print time used in 1k iterations 3. Correct label dimension in predict function 4. Transpose distance matrix for convenient indexing 5. Sort dictionary before generate signature 6. Extract visible CUDA setting function
2021-01-11	Implement evaluator	Jordan Gong

2021-01-10	Make predict function transform samples different conditions in a single shot	Jordan Gong

2021-01-09	Add prototype predict function	Jordan Gong

2021-01-07	Train different models in different conditions	Jordan Gong

2021-01-07	Add typical training script and some bug fixes	Jordan Gong
	1. Resolve deprecated scheduler stepping issue 2. Make losses in the same scale(replace mean with sum in separate triplet loss, enlarge pose similarity loss 10x) 3. Add ReLU when compute distance in triplet loss 4. Remove classes except Model from `models` package init
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
2021-01-06	Add CUDA support	Jordan Gong

2021-01-06	Add TensorBoard support	Jordan Gong

2021-01-05	Implement checkpoint mechanism	Jordan Gong

2021-01-05	Change and improve weight initialization	Jordan Gong
	1. Change initial weights for Conv layers 2. Find a way to init last fc in init_weights
2021-01-03	Separate last fc matrix from weight init function	Jordan Gong
	Recursive apply will override other parameters too
2021-01-03	Implement weight initialization	Jordan Gong

2021-01-03	Update hyperparameter configuration, implement prototype fit function	Jordan Gong

2020-12-29	Correct batch splitter	Jordan Gong
	We can disentangle features from different subjects, but cannot do it at different temporal orders
2020-12-27	Implement some parts of main model structure	Jordan Gong
	1. Configuration parsers 2. Model signature generator
2020-12-27	Adopt type hinting generics in standard collections (PEP 585)	Jordan Gong

2020-12-26	Implement batch splitter to split sampled data	Jordan Gong
	Disentanglement cannot be processed on different subjects at the same time, we need to load `pr` subjects one by one. The batch splitter will return a pr-length list of tuples (with 2 dicts containing k-length lists of labels, conditions, view and k-length tensor of clip data, representing condition 1 and condition 2 respectively).