v1.0.3

New Features:

• Add RandomResize2 by @illian01 in PR 550
• Add confidence score on detection visualization by @hglee98 in PR 552
• Add save_best_only option for saving model by @hglee98 in PR 555, PR 567
• Add option to select best model saving criterion by @hglee98 and @illian01 in PR 557, PR 573, PR 574
• Add MultiStepLR scheduler by @hglee98 in PR 559
• Add class-wise metric analysis option by @illian01 in PR 568
• Add ReLU6 by @hglee98 in PR 566
• Add TFLite model evaluation feature by @hglee98 in PR 563
• Add YOLO-Fastest-v2 by @hglee98 in PR 548
• Add tabulating step for metric standard outputs by @illian01 in PR 570

Bug Fixes:

• Fix keyword error of segmentation training by @illian01 in PR 551
• Fix typo when saving optimizer state_dict by @hglee98 in PR 553
• Fix not initialized save_dtype error by @hglee98 in PR 565
• Fix mAP error in case of certain classes object is not in the dataset @hglee98 in PR 571, PR 572

Breaking Changes:

• Massive refactoring metric modules and add flexible metric selecting option by @illian01 in PR 564

Other Changes:

No changes to highlight.

v1.0.2

New Features:

• Add no_weight_decay and overwrite option in optimizer config by @illian01 in PR 534
• Fuse reparameterable layers before save by @hglee98 in PR 531
• Add ONNX model evaluation feature by @illian01 in PR 539
• Add ONNX export tool by @illian01 in PR 541
• Add VOC 2012 dataset auto-downloader by @illian01 in PR 546

Bug Fixes:

• Fix bug in RandomCrop and segmentation dataset getitem by @illian01 in PR 535
• Handle unexpected error during training rt-detr by @hglee98 in PR 530
• Fix no 'deploy' attribute error in fx model train phase by @illian01 in PR 543
• Fix bugs of PIDNet forward and saving by @illian01 in PR 544

Breaking Changes:

• Remove fx_model_path in model configuration and parsing model format by file extensions by @illian01 in PR 538

Other Changes:

• Document updates by @illian01 in PR 533
• Delete install command for the optional requirements from Dockerfile by @hglee98 in PR 532

v1.0.1

New Features:

• Add RT-DETR by @illian01 and @hglee98 in PR 490, PR 491, PR 494, PR 498, PR 500, PR 507, PR 501
• Add Objects365 dataset auto downloader by @hglee98 in PR 482
• Add ResNet model parameters to support various form by @illian01 in PR 497, PR 523
• Add RandomIoUCrop, RandomZoomOut augmentation by @hglee98 in PR 504
• Add MobileNetV4 backbone by @illian01 and hglee98 in PR 516, PR 520, PR 526
• Add gradient clipping feature by hglee98 in PR 506
• Enabled to control ToTensor and Normalization through config file by @illian01 in PR 522
• Enable to set onnx opset version through config file by @illian01 in PR 525

Bug Fixes:

• Fix handling error in case of error occured in first epoch by @illian01 in PR 493
• Fix error in FLOPs computation by @illian01 in PR 499

Breaking Changes:

No changes to highlight.

Other Changes:

• Update pi 4b deployment benchmark by @illian01 in PR 492
• Clamp bbox for detection dataset loading by @hglee98 in PR 503
• Combine requirements and requirements-optional by @illian01 in PR 517

v1.0.1.b1

Checkpointing release for integrating PyNetsPresso

Release note would be included in v1.0.1

v1.0.1.b0

Checkpointing release for integrating PyNetsPresso

Release note would be included in v1.0.1

v1.0.0

New Features:

• Add YOLOX-nano and YOLOX-tiny by @hglee98 in PR 467
• Separate postprocessor configuration hierarchy by @hglee98 in PR 470
• Add YOLO-Fastest by @hglee98 in PR 471
• Write detailed status on training_summary by @illian01 in PR 487

Bug Fixes:

No changes to highlight.

Breaking Changes:

No changes to highlight.

Other Changes:

• Change attention bias interpolate method by @illian01 in PR 468
• Fix ViT token number in positional encoding for torch.fx compile step by @illian01 in PR 475
• Remove output typing of PIDNet by @illian01 in PR 477
• Update documentation by @illian01 in PR 483, PR 485

v0.2.2

New Features:

• Update Benchmarks & Checkpoints (docs) and weights files to fully usable by @illian01 in PR 446, PR 447, PR 456, PR 461
• Add TFLite runtime code example by @illian01 in PR 449

Bug Fixes:

• Fix best_epoch init error in TrainingSummary in case of training resume by @illian01 in PR 448
• Fix segmentation metric logic bug by @illian01 in PR 455, PR 460

Breaking Changes:

No changes to highlight.

Other Changes:

• Refactoring: remove thop, replace MACs with FLOPs by @illian01 in PR 444
• Add copyright for entire project by @illian01 in PR 451
• Modify ImageSaver to receive various resolution at once @illian01 in PR 458

v0.2.1

New Features:

• Add dataset validation step and refactoring data modules by @illian01 in PR 417, PR 419
• Add various dataset examples including automatic open dataset format converter by @illian01 in PR 430
• Allow using text file path for the id_mapping field by @illian01 in PR 432, PR 435

Bug Fixes:

• Fix test directory check line by @illian01 in PR 428
• Fix Dockerfile installation commandline @cbpark-nota in PR 434

Breaking Changes:

No changes to highlight.

Other Changes:

• Save training summary at every end of epochs by @illian01 in PR 420
• Refacotring: rename postprocessors/register.py to registry.py by @aychun in PR 424
• Add example configuration set by @illian01 in PR 438
• Documentation: fix simple use config file path by @cbpark-nota in PR 437

v0.2.0

New Features:

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

Bug Fixes:

• Fix output_root_dir from fixed string to config value by @illian01 in PR 323
• Gather predicted results before compute metric and fix additional distributed evaluation inaccurate error by @illian01 in PR 346, PR 356
• Fix detection score return by @illian01 in PR 373
• Fix memory leak from onnx export by @illian01 in PR 386, PR 394
• Refactoring metric modules and fix inaccurate metric bug by @illian01 in PR 402

Breaking Changes:

• Simplify augmentation configuration hierarchy by @illian01 in PR 322
• Add pose estimation task and RTMPose model by @illian01 in PR 357, PR 366
• Remove pythonic config and move training initialization functions to trainer_main.py by @illian01 in PR 371
• Unify gradio demo in one page by @deepkyu in PR 408

Other Changes:

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

v0.1.2

v0.1.2

Bug Fixes:

• Remove union of int and list by @illian01 in PR 317