Netspresso-trainer

New Features:

- Add activation and dropout layer in FC by `illian01` in [PR 325](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/325), [PR 327](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/327)
- Add function to Resize: Match longer side with input size and keep ratio by `illian01` in [PR 329](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/329)
- Add transforms: MosaicDetection by `illian01` in [PR 331](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/331), [PR 337](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/337), [PR 397](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/397)
- Add transform: HSVJitter by `illian01` in [PR 336](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/336), [PR 413](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/413)
- Add transforms: RandomResize by `illian01` in [PR 341](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/341), [PR 344](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/344), [PR 398](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/398)
- Add model EMA (Exponential Moving Average) by `illian01` in [PR 348](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/348)
- Add entry point for evaluation and inference by `illian01` in [PR 374](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/374), [PR 379](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/379), [PR 381](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/381), [PR 383](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/383)
- Add classification visulizer by `illian01` in [PR 384](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/384)
- Add dataset caching feature by `illian01` in [PR 391](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/391)
- Add mixed precision training by `illian01` in [PR 392](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/392)
- Add YOLOX l1 loss activation option by `illian01` in [PR 396](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/396)
- Add NetsPresso Trainer YOLOX pretrained weights by `illian01` in [PR 406](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/406)

Bug Fixes:

- Fix output_root_dir from fixed string to config value by `illian01` in [PR 323](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/323)
- Gather predicted results before compute metric and fix additional distributed evaluation inaccurate error by `illian01` in [PR 346](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/346), [PR 356](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/356)
- Fix detection score return by `illian01` in [PR 373](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/373)
- Fix memory leak from onnx export by `illian01` in [PR 386](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/386), [PR 394](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/394)
- Refactoring metric modules and fix inaccurate metric bug by `illian01` in [PR 402](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/402)

Breaking Changes:

- Simplify augmentation configuration hierarchy by `illian01` in [PR 322](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/322)
- Add pose estimation task and RTMPose model by `illian01` in [PR 357](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/357), [PR 366](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/366)
- Remove pythonic config and move training initialization functions to `trainer_main.py` by `illian01` in [PR 371](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/371)
- Unify gradio demo in one page by `deepkyu` in [PR 408](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/408)

Other Changes:

- Refactoring: Move custom transforms to each python module by `illian01` in [PR 332](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/332)
- Update Pad transform to receive target size of image by `illian01` in [PR 334](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/334)
- Rafactoring: Fix to make transform object in init by `illian01` in [PR 339](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/339)
- ~~Add before_epoch step which does update modules like dataloader before epoch training by `illian01` in [PR 340](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/340)~~
- Revert [PR 340](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/340) and add multiprocessing.Value to handle MosaicDetection and RandomResize by `illian01` in [PR 345](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/345)
- Enable adjust max epoch of scheduler by `illian01` in [PR 350](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/350)
- Remove github action about hugging face space demo by `illian01` in [PR 351](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/351)
- Update docs by `illian01` in [PR 355](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/355), [PR 410](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/410)
- Backbone task compatibility checking refactoring by `illian01` in [PR 361](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/361), [PR 364](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/364)
- Fix postprocessor return type as numpy.ndarray by `illian01` in [PR 365](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/365)
- Update default asignees of issue template by `illian01` in [PR 375](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/375)
- Refactoring: Remove CSV logger, change logger module input format by `illian01` in [PR 377](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/377)
- Change ClassficationDataSampler logic by `illian01` in [PR 382](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/382)
- Add YOLOX weights initialization step by `illian01` in [PR 393](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/393)
- Minor update: detection postprocessor, dataset, and padding strategy by `illian01` in [PR 395](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/395)
- Specify input size for onnx export and remove augmentation.img_size by `illian01` in [PR 399](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/399)
- Update issue and pr template by `illian01` in [PR 401](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/401)
- Add documentation auto deploy action by `illian01` in [PR 405](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/405)

New Features:

No changes to highlight.

Bug Fixes:

- Remove union of int and list by `illian01` in [PR 317](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/317)

Breaking Changes:

No changes to highlight.

Other Changes:

No changes to highlight.

New Features:

- Enable customizing inference transform by `illian01` in [PR 304](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/304)
- Add transform function: CenterCrop by `illian01` in [PR 308](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/308)

Bug Fixes:

- Fix automatic PIDNet weights download bug by `illian01` in [PR 306](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/306)
- Resize default value to list by `illian01` in [PR 315](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/315)

Breaking Changes:

No changes to highlight.

Other Changes:

- Update model caching directory and checkpoint configuration by `deepkyu` in [PR 299](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/299), [PR 312](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/312)
- Minor docs update by `illian01` in [PR 300](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/300)
- Update software development stage by `illian01` in [PR 301](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/301)
- Fix size param of Resize to receive int or list by `illian01` in [PR 310](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/310)
- Modify PIDNet conv bias, add head_list property on models by `illian01` in [PR 311](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/311)

New Features:

- Construct head by config file by `illian01` in [PR 237](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/237)
- Construct neck by config file by `illian01` in [PR 249](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/249)
- Add model: RetinaNet by `illian01` in [PR 257](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/257)
- Select `gpus` with `environment` configuration by `deepkyu` in [PR 269](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/269)
- Return logging directory path and fix training interfaces by `deepkyu` in [PR 271](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/271)
- Add transform: AutoAugment by `illian01` in [PR 281](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/281)

Bug Fixes:

- Fix attribute error on fc by `illian01` in [PR 252](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/252)
- Restore file export for stream log by `deepkyu` in [PR 255](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/255)
- Fix CSV logging, configuration error, and misused loggings by `deepkyu` in [PR 259](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/259)
- Fix minor bug in train.py by `illian01` in [PR 277](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/277)
- Fix local classification dataset loader error by `illian01` in [PR 279](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/279)
- Fix safetensors file overwriting bug by `illian01` in [PR 289](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/289)
- Fix error on full model load by `illian01` in [PR 295](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/295)

Breaking Changes:

- Provide pytorch state dict with `.safetensors` and training summary with `.json` for a better utilization by `deepkyu` in [PR 262](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/262)

Other Changes:

- Refactoring for detection models by `illian01` in [PR 260](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/260)
- Equalize logging format with `PyNetsPresso` by `deepkyu` in [PR 263](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/263)
- Refactoring for clean docs by `illian01` in [PR 265](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/265), [PR 266](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/266), [PR 272](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/272), [PR 273](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/273), [PR 274](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/274), [PR 284](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/284)
- Update docs up-to-date by `illian01` in [PR 278](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/278)
- Refactoring model building code and move TASK_MODEL_DICT by `illian01` in [PR 282](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/282)
- Add eps param on RMSprop by `illian01` in [PR 285](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/285)
- Fix weights loading logic by `illian01` in [PR 287](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/287), [PR 290](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/290)
- Change pretrained checkpoint name convention and update weight path and url by `illian01` in [PR 291](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/291)
- Move seed field to environment config by `illian01` in [PR 292](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/292)
- Move ResNet and Fc implementation code to core directory by `illian01` in [PR 294](https://github.com/Nota-NetsPresso/netspresso-trainer/pull/294)

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)