2.6.0

What's Changed

• Update demo requirements by @sovrasov in #4421
• Cleanup Geti task templates for anomaly task by @rajeshgangireddy in #4420
• Restore Engine by @ashwinvaidya17 in #4430
• [Cherry-pick from release/2.5] Refactor benchmark script logic (#4435) by @eugene123tw in #4442
• Provide workarounds for the XPU training by @kprokofi in #4441
• DEIM-DFine by @eugene123tw in #4446
• Update pandas requirement from <2.3 to <2.4 by @dependabot[bot] in #4427
• Bump the github-actions-dependency group with 10 updates by @dependabot[bot] in #4428
• Bump the github-actions-dependency group with 2 updates by @dependabot[bot] in #4478
• Add DoRA support for ViT classification model. by @gyuilLim in #4466
• Bump tj-actions/changed-files from 4662f28b04a04c9b3c760178bc00690771ba6fe1 to a0370f61698fcac830a08949da9fdf96ea0f3ab7 in the github-actions-dependency group by @dependabot[bot] in #4481
• Update Python version requirements and workflows to support Python 3.11 and 3.12 by @eugene123tw in #4479
• Minor updates in docs by @sovrasov in #4482
• Bump github/codeql-action from 3.29.3 to 3.29.4 in the github-actions-dependency group by @dependabot[bot] in #4483
• Disable tox auto upgrade by @sovrasov in #4484
• Bump tj-actions/changed-files from a0370f61698fcac830a08949da9fdf96ea0f3ab7 to db8d0bfea5a44e51abd5dc1454386c668ae901f9 in the github-actions-dependency group by @dependabot[bot] in #4491
• Update tox uv installer by @eugene123tw in #4503
• Add support for transforming masks and polygons in RandomAffine by @eugene123tw in #4472
• Bump the github-actions-dependency group across 1 directory with 3 updates by @dependabot[bot] in #4507
• Enable PEFT support for h-label & multi-label classification by @gyuilLim in #4509
• Merge release 2.5 branch to develop by @kprokofi in #4501
• Geti tune: fix precommit and CI workflows by @leoll2 in #4571
• Use FastAPI DI instead of Singleton pattern for services by @itallix in #4574
• apply copyright header to all .py, .ts, .tsx and .js files by @leoll2 in #4578
• Merge geti-tune to develop by @leoll2 in #4581
• Fix compatibility with old anomaly models by @kprokofi in #4584
• Add DEIM manifests + Upgrade torch by @kprokofi in #4580
• Add npm script to update api spec by @jpggvilaca in #4583
• Disable WebRTC temporarily by @jpggvilaca in #4585
• refactor: Use toast from @geti/ui by @dwesolow in #4588
• Update GH worker version by @ivanzati in #4523
• Cleanup the house by @jpggvilaca in #4591
• Bump slab from 0.4.10 to 0.4.11 in /ui/src-tauri by @dependabot[bot] in #4582
• More cleanup by @jpggvilaca in #4592
• Support output to webhook by @itallix in #4598
• Add edit bounding box tool & friends by @jpggvilaca in #4593
• 4564 - pipeline list components by @camiloHimura in #4586
• Update landing page (creation) & rename pipeline by @jpggvilaca in #4601
• WebRTC improvements by @jpggvilaca in #4603
• Add models and labels routes by @jpggvilaca in #4604
• Add documentation for PEFT (LoRA & DoRA) by @gyuilLim in #4596
• Add input source modal by @jpggvilaca in #4615
• 4558 - error handling by @camiloHimura in #4600
• Fix pre_merge action by @ivanzati in #4609
• Add legacy templates for DEIM model by @kprokofi in #4608
• Move OTX code to lib folder by @warrkan in #4614
• Replace fastrtc with aiortc-based WebRTC implementation by @itallix in #4610
• Configurable augmentations for OD, IS, KP, SemSeg tasks by @kprokofi in #4577
• Resolve merge conflict by @kprokofi in #4623
• Fix issues during shutdown by @itallix in #4622
• Update CODEOWNERS by @leoll2 in #4635
• 4613 - render annotations - p1 by @camiloHimura in #4621
• Cleanup & improve create-project page by @jpggvilaca in #4628
• Add missing zoom provider by @jpggvilaca in #4634
• GHA hardening and bugfixes by @leoll2 in #4636
• Enable mypy pre-commit hook for geti-tune backend by @warrkan in #4633
• Create unified Docker image by @warrkan in #4631
• chore: Enable React 19 by @dwesolow in #4632
• Add model latency endpoint by @A-Artemis in #4599
• Add React Compiler to Geti Tune by @jpggvilaca in #4638
• Prep before moving SAM tool by @jpggvilaca in #4640
• Add "smart tools" package by @jpggvilaca in #4645
• Add UI team to ui CODEOWNERS by @jpggvilaca in #4646
• chore(ci): enable Renovate by @AlexanderBarabanov in #4642
• fix(deps): update dependency pillow to v11.3.0 [security] by @oep-renovate[bot] in #4652
• Fix GHA labeler by @leoll2 in #4641
• Add tool selection bar by @jpggvilaca in #4655
• 4545: Create skeleton of dataset endpoints by @warrkan in #4651
• Fix Deim recipes by @kprokofi in #4657
• Fix Deim recipe to be able to run bs search by @kprokofi in #4664
• Fix input size configuration during validation for DFine model by @kprokofi in #4666
• Fix RandomAffine and RTDetr training with IoURandomCrop by @kprokofi in #4718
• Fix loading checkpoint after 1st round of training for DFine-X model by @kprokofi in #4738
• Fix keypoint annotation filter logic by @eugene123tw in #4685
• Run unit test on self-hosted runners by @kprokofi in #4791
• Update setuptools by @kprokofi in #4766
• Fix training on CPU by @kprokofi in #4788
• Fix OOM bug on XPU by @kprokofi in http...

2.5.0

What's Changed

• 🧹Refactor Classification Entity by @ashwinvaidya17 in #4239
• Refactor OTX Models by @kprokofi in #4241
• Update dev version and changelog by @kprokofi in #4281
• Promote/demote detection models by @Daankrol in #4278
• 🗑️ Remove unused transforms by @ashwinvaidya17 in #4269
• Promote DinoV2 as "Accuracy" template by @kprokofi in #4287
• Bump the pip-others group across 1 directory with 5 updates by @dependabot[bot] in #4292
• Delete Visual Prompting Task by @kprokofi in #4291
• Fix DataInputParams Serialization by @kprokofi in #4293
• Refactor Data Entity (SSeg, KP) by @kprokofi in #4282
• Hot Fix Classification by @kprokofi in #4297
• Enable TV MaskRCNN for Geti by @eugene123tw in #4296
• Align KP Detection Validation with Model API by @kprokofi in #4300
• Update Documentation by @kprokofi in #4294
• 🧹 Minor cleanup by @ashwinvaidya17 in #4299
• Promote/Demote Inst Seg Algo by @eugene123tw in #4301
• Reduce Integration Test Scope by @eugene123tw in #4303
• Improve PR comment event trigger by @eugene123tw in #4307
• Update permissions in PR comment trigger workflow by @eugene123tw in #4309
• Update PR comment trigger by @eugene123tw in #4312
• Add workflow step to update PR description with run link and status by @eugene123tw in #4314
• Enhance PR comment trigger to include last commit message and workflow result by @eugene123tw in #4316
• Refactor PR comment trigger by @eugene123tw in #4318
• Support linear classifier fine-tuning for classification models by @gyuilLim in #4298
• 🧹 Refactor detection entity by @ashwinvaidya17 in #4322
• Update integration test commands to include run-category-only flag options by @eugene123tw in #4325
• Bump rich from 13.9.4 to 14.0.0 by @dependabot[bot] in #4324
• Fix integration test commands run-category-only flag by @eugene123tw in #4329
• updated repo with mobilenet_v4 by @GauravSRC in #4321
• Update documentation and references to Open-Edge Platform by @eugene123tw in #4331
• 🧹 Refactor Instance Segmentation Entity by @ashwinvaidya17 in #4327
• 🧹 Refactor Anomaly Entities by @ashwinvaidya17 in #4328
• Add a contribution guide by @sovrasov in #4335
• Bug Fix : Convert labels for multi-label Classification into LongTensor before one_hot encoding by @rajeshgangireddy in #4336
• Bump OV and NNCF to 2025.1 by @sovrasov in #4334
• 📝 Improve Geti Integration and Streamline Pre-Merge Tests by @eugene123tw in #4330
• 🧹 Refactor PR comment trigger workflow to improve repository checkout steps by @eugene123tw in #4342
• 📝 Enhance PR comment trigger workflow to fetch PR info dynamically before checkout by @eugene123tw in #4344
• Revert "updated repo with mobilenet_v4" by @ashwinvaidya17 in #4345
• 🧹 Update CI workflow to use Ubuntu 24.04 for Code Quality and Unit Tests by @eugene123tw in #4350
• 🧹 Remove unnecessary blank line in PR comment trigger workflow by @eugene123tw in #4351
• 🧹 Update workflows and configuration to use 'uv' for package installation by @eugene123tw in #4354
• Improve pytest command flags in CI workflow test env by @eugene123tw in #4352
• Update benchmark datasets for classification and segmentation by @rajeshgangireddy in #4349
• Update Readme by @kprokofi in #4348
• Enhance installation instructions for uv by @eugene123tw in #4358
• Update dependency by @eugene123tw in #4357
• Fix missing mAP score reporting for instance segmentation. by @eugene123tw in #4364
• Bump torch to 2.7 by @sovrasov in #4361
• Add bechmark datasets for anomaly task. by @djdameln in #4366
• ✨ Upgrade setup python action in pre-merge check by @ashwinvaidya17 in #4371
• 🗑️ Remove traces of visual prompting by @rajeshgangireddy in #4370
• Add a reference to MAPI by @sovrasov in #4373
• Fix degradation in detection/inst-seg by @eugene123tw in #4372
• Fix OTX Installation by @kprokofi in #4285
• ✨ Upgrade Ubuntu version for documentation workflows to 24.04 by @eugene123tw in #4375
• Fix input_size type check to accept list in OTXDataModule by @eugene123tw in #4380
• 🗑️ Remove CLI integration tests by @eugene123tw in #4378
• Fix CodeQL findings in pr_comment_trigger.yaml by @kprokofi in #4390
• Enhance benchmark and run scripts with job retry logic and failed job handling by @eugene123tw in #4381
• Fix in pr_comment_trigger.yaml by @AlexanderBarabanov in #4393
• Update benchmark datasets for Detection and Instance Segmentation by @Daankrol in #4365
• Fix anomaly benchmark by @eugene123tw in #4395
• Disable weight computation in self-attention for TransformerDecoderLayer by @eugene123tw in #4398
• 🧹 Update CODEOWNERS by @ashwinvaidya17 in #4404
• Disable weight computation in TransformerEncoderLayer by @eugene123tw in #4399
• 🧹 Refactor base train and test recipe by @ashwinvaidya17 in #4369
• Add model arch name to exported model metadata by @sovrasov in #4407
• Allow on_*_batch_end callbacks to access outputs from validation and test steps by @itrushkin in #4384
• Remove image caching during training to reduce complexity and RAM consumption by @kprokofi in #4401
• Improve dinov2 accuracy in classification tasks. by @gyuilLim in #4411
• Refactor benchmark logic by @eugene123tw in #4400
• Update module docstrings for consistency across various files by @eugene123tw in #4417
• Use cuda 12.8 by @ashwinvaidya17 in #4409
• ✨ Merge Feature-v3 to develop by @ashwinvaidya17 in https://github.com/...

2.4.6

What's Changed

• Fix label info dispatching by @kprokofi in #4443
• Prepare for 2.4.6 release by @kprokofi in #4444

Full Changelog: 2.4.5...2.4.6

2.4.5

What's Changed

• 🐞 Fix UFlow by @ashwinvaidya17 in #4431
• Fix loading/saving checkpoints in OTX by @kprokofi in #4433
• Fix otx load checkpoint by @ashwinvaidya17 in #4438

Full Changelog: 2.4.4...2.4.5

2.4.4

[2.4.4]

Bug fixes

• Fix torch.load() to be able to load all OTX custom snapshots
  (#4392)

Full Changelog: 2.4.3...2.4.4

2.4.3

Enhancements

• Bump torch to 2.7.0

2.4.2

What's Changed

Bug fixes

• Fix specific torchmetrics dependency to 1.6.0

2.4.1

What's Changed

Bug fixes

• Update Datumaro from 1.10.0rc0 to 1.10.0

2.4.0

What's Changed

New features

• Add DETR XAI Explain Mode
  (#4184)
• Add UFlow anomaly detection algorithm
  (#4251)

Enhancements

• Bump inference dependencies
  (#4243)
• Bump ModelAPI to 0.2.5.2
  (#4275)

Bug fixes

• Fix KP Detection performance
  (#4270)
• Fix auto batch size with tiling
  (#4233)
• Fix exportable code for tiling
  (#4234)
• Don't filter empty label from kp arrow
  (#4229)
• Fix description for auto batch size
  (#4274)

Removed

• Remove HPO
  (#4196)
• Remove Action Classification
  (#4202)
• Remove Diffusion task
  (#4206)
• Remove 3D Object Detection task
  (#4208)
• Remove Zero Shot Visual Prompting
  (#4209)
• Remove Semi-SL algorithm, unlabeled dataset, MMCV transforms
  (#4227)
• Remove MaskDino, YOLOV9, HuggingFace wrappers, OTX install, mmcv tools
  (#4247)

Full Changelog: 2.3.0...2.4.0

2.3.0

What's Changed

New features

Turn on/off classification augmentations (#4039)
Turn on/off detection and instance segmentation augmentations (#4066)
Add GPU memory monitor hook (#4118)
Add YOLOv9 model for Object Detection (#3917, #4026)
Add OV inference for keypoint detection (#3970)
Add tiling for semantic segmentation (#3954)
Add D-Fine Detection Algorithm (#4142)

Enhancements

Update visual prompting pipeline for multi-label zero-shot learning support (#3993)
Update to work torch compile in detection (#4003)
Refactor MaskDINO (#4006)
Fix MaskRCNN/RTMDet-Inst/MaskRCNNTV Explain Mode (#4053)
Reduce tiling unittests resource consumption (#4073)
Upgrade OpenVINO to 2024.5 and NNCF to 2.14.0 (#4123)
Upgrade OV, MAPI, and NNCF dependencies (#3967)
Instance Segmentation Model refactoring (#3865)
Bump torch and lightning to 2.4.0 versions (#3843)
Add mAP metric to evaluate multilabel classification (#3985)
Bump OV to 2024.6, update empty label handling (#4162)
Bump MAPI to 0.2.5.1 (#4211)
Revert FMetric computation (PR: 4130) (#4210)

Bug fixes

Fix MaskDINO recipe (#4080)
Fix a wrong HPO log (#3972)
Update model name in rotated detection recipes (#4028)
Fix SupCon flag (#4076)
Add h-cls label info normalization (#4173)
Fix arrow support for semantic segmentation task (#4172)
Fix backward compatibility issues in model checkpoint loading (#4199)
Fix label info on loading checkpoint (#4200)
Revert h-cls head to linear one (#4221)

Full Changelog: 2.2.2...2.3.0