Release 2.2.0rc7

What's Changed

• Update pre-merge workflow by @yunchu in #4032
• Update HPO interface by @eunwoosh in #4035

Full Changelog: 2.2.0rc6...2.2.0rc7

2.2.0rc6

What's Changed

• Prevent using too low confidence thresholds in detection by @sovrasov in #4018
• Update for release 2.2.0rc6 by @yunchu in #4027

Full Changelog: 2.2.0rc5...2.2.0rc6

Release 2.2.0rc5

What's Changed

• Relieve memory usage criteria on batch size 2 during adaptive_bs by @eunwoosh in #4009
• Remove background label from RT Info for segmentation task by @kprokofi in #4011
• Fix num_trials calculation on dataset length less than num_class by @harimkang in #4014
• Fix out_features in HierarchicalCBAMClsHead by @harimkang in #4016
• Fix empty anno by @eugene123tw in #4010

Full Changelog: 2.2.0rc4...2.2.0rc5

Release 2.2.0rc4

What's Changed

• Change sematic segmentation to consider bbox only annotations. by @eunwoosh in #3996

Full Changelog: 2.2.0rc3...2.2.0rc4

Release 2.2.0rc3

What's Changed

• Fix config converter for tiling by @eugene123tw in #3973
• Update for 2.2.0rc3 by @yunchu in #3975

Full Changelog: 2.2.0rc2...2.2.0rc3

Release 2.2.0rc2

What's Changed

• Include Geti arrow dataset subset names by @eugene123tw in #3962
• Include full image with anno in case there's no tile in tile dataset by @eugene123tw in #3964
• Add type checker in converter for callable functions (optimizer, scheduler) by @harimkang in #3968
• Update for 2.2.0rc2 by @yunchu in #3969

Full Changelog: 2.2.0rc1...2.2.0rc2

Release 2.2.0rc1

What's Changed

• enable model export by @ashwinvaidya17 in #3952
• Move templates from OTX1.X to OTX2.X by @kprokofi in #3951
• Add missing tile recipes and various tile recipe changes by @eugene123tw in #3942
• Support ImageFromBytes by @ashwinvaidya17 in #3948
• Change categories mapping logic by @kprokofi in #3946

Full Changelog: 2.2.0rc0...2.2.0rc1

Release 2.2.0rc0

What's Changed

• [hotfix] Update for fix workflow issues by @yunchu in #3673
• Disable integration test in pr-merge workflow by @yunchu in #3674
• Align integration test to exportable code interface update by @eunwoosh in #3675
• Merge Back Hot-Fix into develop by @harimkang in #3682
• Bump aquasecurity/trivy-action from 0.22.0 to 0.23.0 by @dependabot in #3660
• Bump actions/upload-artifact from 4.3.2 to 4.3.3 by @dependabot in #3661
• Bump openpyxl from 3.1.2 to 3.1.4 by @dependabot in #3665
• Fix segmentation fault on VPM PTQ to develop by @sungchul2 in #3690
• Mergeback 2.1.0rc0 to develop by @yunchu in #3694
• Add Multi-Label & H-label Classification with torchvision models by @harimkang in #3697
• Remove DataModuleConfig for the reduced config structure by @wonjuleee in #3688
• Fix torchvision CLS recipes by @wonjuleee in #3705
• Use model_api action classification model wrapper class by @eunwoosh in #3610
• Improve polygon utils by @wonjuleee in #3707
• Refactor Visual Prompting OV model to use MAPI by @sovrasov in #3638
• Fix multi batch testing for visual prompting by @sungchul2 in #3695
• Fix load_reference_info for zero-shot learning by @sungchul2 in #3709
• Fix a wrong action classification transform_fn for PTQ by @eunwoosh in #3713
• Mergeback 2.1.0rc0 to develop 2nd by @yunchu in #3718
• Add HuggingFace Model Wrapper for Multi-Class Classification by @harimkang in #3710
• Move intg tests to merge-check wf and run on a10g by @yunchu in #3711
• Recipe refinement (det, iseg, r-det, sseg, vpm, zsl) by @sungchul2 in #3712
• Reimplementation of ViT for classification by @wonjuleee in #3719
• Remove merge_group event by @yunchu in #3731
• Fix Combined Dataloader & unlabeled warmup loss to work correctly in Semi-SL case by @harimkang in #3723
• Update semantic segmentation transforms to use OTX's instead of torchvision by @sungchul2 in #3724
• Mergeback 2.1.0 to develop by @yunchu in #3730
• Update vpm data pipeline by @sungchul2 in #3725
• Update trivy scanning job by @yunchu in #3733
• Fix detection integration test by @sungchul2 in #3734
• Disable mixed preicision to NMS on CPU by @eunwoosh in #3727
• Enable integration test at pre-merge workflow by @yunchu in #3732
• Add groups setting to create single PR for each group by @yunchu in #3735
• Add LoRA option for VisionTransformer by @wonjuleee in #3729
• Remove optimizer in stfpm recipe by @eunwoosh in #3743
• Change run-on target to aws ci for e2e by @yunchu in #3745
• Add '--test-only' flag in perf test by @eunwoosh in #3746
• Add HuggingFace Model Wrapper for Detection by @harimkang in #3747
• Add HuggingFace Model Wrapper for Semantic-Segmentation by @harimkang in #3749
• Support dinov2 models (small, base, large, giant) from VisionTransformer backbone by @wonjuleee in #3744
• Update daily.yaml by @yunchu in #3751
• Enable to override data configurations by @sungchul2 in #3748
• Change warning to DEBUG_MODE in mem_cache by @harimkang in #3757
• Enable to use input_size at transforms in recipe by @eunwoosh in #3759
• Update recipes using $(input_size) by @sungchul2 in #3763
• Update tutorials/advanced/configuration.rst by @sungchul2 in #3765
• Add RT-DETR for Object Detection by @kprokofi in #3741
• Enable torch.complile to work with classification by @harimkang in #3758
• Update Documentation by @harimkang in #3768
• Bump actions/upload-artifact from 4.3.3 to 4.3.4 by @dependabot in #3717
• Bump ossf/scorecard-action from 2.3.3 to 2.4.0 by @dependabot in #3772
• Remove typ for torch upper version by @harimkang in #3775
• Enable to use polygon and bitmap mask as reference mask for zero-shot learning by @sungchul2 in #3769
• Add task overriding for ConfigConverter by @harimkang in #3774
• Bump ipython from 8.23.0 to 8.26.0 by @dependabot in #3701
• Bump github/codeql-action from 3.25.10 to 3.25.15 by @dependabot in #3773
• Refine recipes for anomaly tasks by @harimkang in #3777
• Refine recipes for classification by @harimkang in #3776
• Add num_devices in Engine for multi-gpu training by @harimkang in #3778
• Bump actions/setup-python from 5.1.0 to 5.1.1 by @dependabot in #3739
• Bump mlflow from 2.14.0 to 2.15.0 by @dependabot in #3771
• Upgrade NNCF and OV versions by @sovrasov in #3646
• Improve yolox-tiny tile recipe by @eugene123tw in #3767
• Introduce OTXTrainType by @harimkang in #3779
• Add otx micro benchmark by @sovrasov in #3762
• Remove mm compatible modules by @sungchul2 in #3780
• Update 'otx benchmark' print outputs & cli print outputs by @harimkang in #3782
• Enable direct export of ViTs by @sovrasov in #3736
• Bump torch version to 2.2.2 by @yunchu in #3786
• Update dependabot config by @yunchu in #3785
• Mergeback 2.1.0 to develop by @yunchu in #3787
• Refactoring base module (ConvModule) by @sungchul2 in #3783
• Change deterministic value to False as default in action classification perf test by @eunwoosh in #3799
• Update dependabot group config for pip by @yunchu in #3798
• Add keypoint detection task with RTMPose by @wonjuleee in #3781
• Bump lightning version to 2.3.3 by @yunchu in #3796
• Bump psutil from 5.9.8 to 6.0.0 by @dependabot in #3807
• Bump the github-actions-dependency group across 1 directory with 3 updates by @dependabot in #3804
• Hot-Fix hang issue in integration test by @harimkang in https://github.com/op...

1.6.5

What's Changed

Bug fixes

• Fix labels names in hierarchical config (#3879)
• Fix Learning Rate and Loss Handling in Tile Classifier MaskRCNN EfficientNet (#3873)
• Pad tile to image size (512 x 512) (#3887)
• Don't apply labels normalization on training (#3886)
• Disable Tile Classifier in Rotated Detection (#3894)
• Enhance Memory Cache Handler with Complex Unique Keys (#3897)

Full Changelog: 1.6.4...1.6.5

Release 1.6.4

What's Changed

Bug fixes

• Pad input image to square when tiling (#3844)
• Fix confusion matrix calculation (#3857)

Full Changelog: 1.6.3...1.6.4