Netspresso-trainer

New Features:

- Add a gpu option in `train_with_config` (only single-GPU supported) by `deepkyu` in [PR 219](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/219)
- Support augmentation for classification task: cutmix, mixup by `illian01` in [PR 221](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/221)
- Add model: MixNet by `illian01` in [PR 229](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/229)
- Add `model.name` to get the exact nickname of the model by `deepkyu` in [PR 243](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/243/)
- Add transforms: RandomErasing and TrivialAugmentationWide by `illian01` in [PR 246](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/246)

Bug Fixes:

- Fix PIDNet model dataclass task field by `illian01` in [PR 220](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/220)
- Fix default criterion value of classification `illian01` in [PR 238](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/238)
- Fix model access of 2-stage detection pipeline to compat with distributed environment by `illian` in [PR 239](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/239)

Breaking Changes:

- Enable dataset augmentation customizing by `illian01` in [PR 201](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/201)
- Add postprocessor module by `illian01` in [PR 223](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/223)
- Equalize the model backbone configuration format by `illian01` in [PR 228](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/228)
- Separate FPN and PAFPN as neck module by `illian01` in [PR 234](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/234)
- Auto-download pretrained checkpoint from AWS S3 by `deepkyu` in [PR 244](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/244)

Other Changes:

- Update ruff rule (`W`) by `deepkyu` in [PR 218](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/218)
- Integrate classification loss modules by `illian01` in [PR 226](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/226)

New Features:

- Add YOLOX model by `illian01` in [PR 195](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/195), [PR 212](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/212)
- Fix Faster R-CNN detection head to compat with PyNP compressor by `illian01` in [PR 184](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/184), [PR 194](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/194), [PR 204](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/204)
- Support multi-GPU training with `netspresso-train` entrypoint by `deepkyu`, `illian01` and `Only-bottle` in [PR 213](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/213)

Bug Fixes:

- Remove fx training flag in entry point by `illian01` in [PR 188](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/188)
- Fix bounding box coordinates computing error on random flip augmentation by `illian01` in [PR 211](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/211)

Breaking Changes:

- Release NetsPresso Trainer colab tutorial `illian01` in [PR 191](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/191)
- Support training with python-level config by `deepkyu` in [PR 205](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/205)

Other Changes:

- Refactoring models/op module by `illian01` in [PR 189](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/189), [PR 190](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/190)
- Parameterize activation function of BasicBlock and Bottleneck by `illian01` in [PR193](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/193)
- Modify MobileNetV3 to stage format and remove forward hook by `illian01` in [PR 199](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/199)
- Substitute MACs counter with `fvcore` library to sync with NetsPresso by `deepkyu` and `Only-bottle` in [PR 202](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/202)
- Enable to compute metric with all training samples by `illian01` in [PR 210](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/210)

New Features:

- Add MobileNetV3 by `illian01` in [PR 173](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/173)
- Handling for fp16 fx model by `illian01` in [PR 175](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/175)
- Deploy Gradio simulators to Hugging Face Space by `deepkyu` in [PR 181](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/181)

Bug Fixes:

No changes to highlight.

Breaking Changes:

No changes to highlight.

Other Changes:

- Removed `model_name` check in `create_transform_segmentation` function by `illian01` in [Pr 176](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/176)
- Combine entry point to `train.py` by `illian01` in [Pr 180](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/180)

New Features:

No changes to highlight.

Bug Fixes:

- ⚠️ Fix pypi package import by `deepkyu` in [PR 169](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/169)

Breaking Changes:

No changes to highlight.

Other Changes:

No changes to highlight.

New Features:

- Support RGB segmentation map and class with label value by `deepkyu` in [PR 163](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/163)

Bug Fixes:

- Fix import error for `Sequence` by `illian01` in [PR 155](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/155)
- Add last epoch validation and delete save_converted_model by `illian01` in [PR 157](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/157)

Breaking Changes:

No changes to highlight.

Other Changes:

- Add onnx save in best model saving step of graph model training by `illian01` in [PR 160](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/160).
- Update to keep community standards by `illian01` in [PR 162](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/162)
- Update a lot of contents in docs (but not finished...) by `deepkyu` in [PR 165](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/165)
- Add github workflow for pypi packaging by `deepkyu` in [PR 166](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/166)

Notice: there are some changes in maintaining the repository and we transferred the original `private` repository to the public(planned) location. Some PR links may be expired because those links are based on the previous version of repository. Hope you understand.
This change is applied at [PR 151](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/151)

New Features:

- Update the model configuration to handle the architecture by `deepkyu` in [PR 130](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/130)

Bug Fixes:

- Add `tensorboard` in requirements.txt by `illian01` in [PR 134](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/134)
- Fix typo in `scripts/example_train.sh` by `illian01` in [PR 137](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/137)
- Initialize loss and metric at same time with optimizer and lr schedulers by `deepkyu` in [PR 138](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/138)
- Hotfix the error which shows 0 for validation loss and metrics by fixing the variable name by `deepkyu` in [PR 140](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/140)
- Add missing field, `save_optimizer_state`, in `logging.yaml` by `illian01` in [PR 149](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/149)
- Hotfix for pythonic config name (classification loss) by `deepkyu` in [PR 242](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/242)

Breaking Changes:

- Add checkpoint saving while training, resume training with the checkpoint, save the training summary with Params and MACs by `deepkyu` in [PR 135](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/135)
- Change parsing argument for FX model retraining and resuming training to model configuration by `deepkyu` in [PR 135](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/135)
- Apply ruff linter and add workflow for ruff checking by `deepkyu` in [PR 143](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/143)

Other Changes:

- Add PyNetsPresso tab in documentation page by `deepkyu` in [PR 128](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/128)
- Fix issue template and default assignee per issue type by `deepkyu` in [PR 144](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/144)