| Age | Commit message (Expand) | Author |
|---|
| 2021-02-14 | Memory usage improvement | Jordan Gong |
| 2021-02-14 | Prepare for DataParallel | Jordan Gong |
| 2021-02-10 | Save scheduler state_dict | Jordan Gong |
| 2021-02-09 | Improve performance when disentangling | Jordan Gong |
| 2021-02-09 | Some optimizations | Jordan Gong |
| 2021-02-08 | Code refactoring, modifications and new features | Jordan Gong |
| 2021-01-23 | Remove the third term in canonical consistency loss | Jordan Gong |
| 2021-01-23 | Add late start support for non-disentangling parts | Jordan Gong |
| 2021-01-23 | Transform all frames together in evaluation | Jordan Gong |
| 2021-01-23 | Evaluation bug fixes and code review | Jordan Gong |
| 2021-01-22 | Handle unexpected restore iter | Jordan Gong |
| 2021-01-21 | Print average losses after 100 iters | Jordan Gong |
| 2021-01-21 | Bug fixes | Jordan Gong |
| 2021-01-14 | Enable optimizer fine tuning | Jordan Gong |
| 2021-01-14 | Remove DataParallel | 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 | Move the model to GPU before constructing optimizer | Jordan Gong |
| 2021-01-12 | Some changes in hyperparameter config | Jordan Gong |
| 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 |
| 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 |
| 2021-01-09 | Change auto-encoder input in evaluation | 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 |
| 2021-01-07 | Change device config and add enable multi-GPU computing | Jordan Gong |
| 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 | Implement Batch All Triplet Loss | Jordan Gong |
| 2021-01-05 | Change and improve weight initialization | Jordan Gong |
| 2021-01-03 | Separate last fc matrix from weight init function | Jordan Gong |
| 2021-01-03 | Delete dead training judge | Jordan Gong |
| 2021-01-03 | Implement weight initialization | Jordan Gong |
| 2021-01-03 | Update hyperparameter configuration, implement prototype fit function | Jordan Gong |
| 2021-01-03 | Add separate fully connected layers | Jordan Gong |
| 2021-01-02 | Separate training and evaluating | Jordan Gong |
| 2021-01-02 | Correct feature dims after disentanglement and HPM backbone removal | Jordan Gong |
| 2021-01-02 | Change type of pose similarity loss to tensor | Jordan Gong |
| 2020-12-31 | Implement some parts of RGB-GaitPart wrapper | Jordan Gong |
| 2020-12-31 | Make HPM capable of processing frames in all batches | Jordan Gong |
| 2020-12-31 | Make super class constructor revoke consistent | Jordan Gong |
| 2020-12-31 | Bug Fixes in HPM and PartNet | Jordan Gong |
| 2020-12-30 | Correct and refine PartNet | Jordan Gong |
| 2020-12-30 | Combine FPFE and TFA to PartNet | Jordan Gong |
| 2020-12-30 | Combine FPFE and TFA to GaitPart | Jordan Gong |
| 2020-12-30 | Add pooling options in HPM | Jordan Gong |
