2.2.0

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 #3815
• Refactor classification OTXModels by @harimkang in #3808
• Refactor OTXAnomaly by @ashwinvaidya17 in #3811
• Fix build docs by @harimkang in #3823
• Refactoring ConvModule by removing act_cfg by @sungchul2 in #3809
• Update cache directory for loading pretrained weights (Semantic Segmentation) by @kprokofi in #3828
• Update fuzzing by @yunchu in #3829
• Update pip update config to exclude base dependencies by @yunchu in #3814
• Update head and h-label format for hierarchical label classification by @sooahleex in #3810
• Add Semi-SL MeanTeacher for semantic segmentation by @kprokofi in #3801
• Support configurable input size by @eunwoosh in #3788
• Update the default path of downloaded pretrained weights from pytorchcv by @sungchul2 in #3837
• Bump the pip-others group across 1 directory with 12 updates by @dependabot in #3839
• Refactor Semantic Segmentation models by @kprokofi in #3840
• [Hotfix] Update pytorchcv version by @sungchul2 in #3853
• Refactoring visual prompting by @sungchul2 in #3789
• Update docs: Remove DataModuleConfig by @harimkang in #3841
• Fix visual prompting dataset for empty nonzero mask by @sungchul2 in #3854
• Refactor Classifier & Head by @harimkang in #3830
• Refactoring ConvModule by removing norm_cfg by @sungchul2 in #3816
• Update CODEOWNERS by @vinnamkim in #3852
• Kp/fix e2e tests by @kprokofi in #3849
• Update MAPI by @sovrasov in #3825
• Refactor MaskRCNN rotated detection by @eugene123tw in #3858
• Refactor keypoint detection task by @wonjuleee in #3861
• Fix Classification explain forward issue by @harimkang in #3867
• Fix e2e code error by @chuneuny-emily in #3871
• Add documentation about configurable input size by @eunwoosh in #3870
• Fix zero-shot e2e by @sungchul2 in #3876
• Fix DeiT for multi-label classification by @harimkang in #3881
• Fix Semi-SL for ViT accuracy drop by @harimkang in #3883
• Update docs for 2.2 by @harimkang in #3884
• Fix mean and scale for segmentation task by @kprokofi in #3885
• Update MAPI in 2.2 by @sovrasov in #3889
• Improve Semi-SL for LiteHRNet (small-medium case) by @kprokofi in #3891
• Improve h-cls for eff models by @sooahleex in #3893
• Fix maskrcnn swin nncf acc drop by @eugene123tw in #3900
• Add keypoint detection recipe for single object cases by @wonjuleee in #3903
• Improve acc drop of efficientnetv2 for h-label cls by @sooahleex in #3907
• Fix pretrained weight cached dir for timm by @harimkang in #3909
• Fix keypoint detection single obj recipe by @wonjuleee in #3915
• Fix cached dir for timm & hugging-face by @harimkang in #3914
• Fix wrong template id mapping for anomaly by @yunchu in #3916
• Update script to allow setting otx version using env. variable by @yunchu in #3913
• Fix Datamodule creation for OV in AutoConfigurator by @harimkang in #3920
• Update tpp file for 2.2.0 by @yunchu in #3921
• Fix names for ignored scope [HOT-FIX, 2.2.0] by @kprokofi in #3924
• Fix classification rt_info by @sovrasov in #3922
• Update label info by @ashwinvaidya17 in #3925
• Fix binary classification metric task by @harimkang in #3928
• Improve MaskRCNN SwinT NNCF by @eugene123tw in #3929
• Fix get_item for Chained Tasks in Classification by @harimkang in #3931
• Correct Keyerror for h-label cls in label_groups for dm_label_categories using label's id/key by @sooahleex in #3932
• Remove datumaro attribute id from tiling, add subset names by @eugene123tw in #3933
• Fix soft predictions for Semantic Segmentation by @kprokofi in #3934
• Update STFPM config by @ashwinvaidya17 in #3935
• Add missing pretrained weights when creating a docker image by @harimkang in #3938
• Change default option 'full' to 'base' in otx install by @harimkang in #3937
• Fix auto adapt batch size in Converter by @harimkang in #3939
• Fix hpo converter by @eunwoosh in #3940
• Fix tiling XAI out of range by @eugene123tw in #3943
• 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
• Update for 2.2.0rc1 by @yunchu in #3956
• 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
• Fix config converter for tiling by @eugene123tw in #3973
• Update for 2.2.0rc3 by @yunchu in #3975
• Change sematic segmentation to consider bbox only annotations. by @eunwoosh in #3996
• 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
• Update for release 2.2.0rc5 by @yunchu in #4015
• Prevent using too low confidence thresholds in detection by @sovrasov in #4018
• Update for release 2.2.0rc6 by @yunchu in #4027
• Update pre-merge workflow by @yunchu in #4032
• Update HPO interface by @eunwoosh in #4035
• Enable keypoint detection training through config conversion by @wonjuleee in #4034
• Update for release 2.2.0rc7 by @yunchu in #4036
• Fix multilabel_accuracy of MixedHLabelAccuracy by @harimkang in #4042
• Update for release 2.2.0rc8 by @yunchu in #4043
• Fix wrong indices setting in HLabelInfo by @harimkang in #4044
• Add legacy template LiteHRNet_18 template by @kprokofi in #4049
• Model templates: rename model_status value 'DISCONTINUED' to 'OBSOLETE' by @leoll2 in #4051
• Enable export of feature vectors for semantic segmentation task by @kprokofi in #4055
• Upgrade MAPI in 2.2 by @sovrasov in #4052
• Update MRCNN model export to include feature vector and saliency map by @harimkang in #4056
• Fix applying model's hparams when loading model from checkpoint by @sungchul2 in #4057
• Update anomaly transforms by @ashwinvaidya17 in #4059
• Bump onnx to 1.17.0 to omit CVE-2024-5187 by @yunchu in #4063
• Fix incorrect all_groups order configuration in HLabelInfo by @harimkang in #4067
• Fix wrong model name in converter & template by @harimkang in #4082
• RTMDet Inst Seg Explain Mode for 2.2 by @eugene123tw in #4083
• Fix rtdetr recipes by @sungchul2 in #4079
• Enable adaptive_bs with Efficientnet-V2-L model template by @harimkang in #4085
• Add Keypoint Detection legacy template by @kprokofi in #4094
• Revert the old workaround for detection confidence threshold by @sovrasov in #4096
• OTX RC 2.2 version up by @sovrasov in #4099
• Add dummy XAI to RTDETR (export mode) & disable strong aug by @eugene123tw in #4106
• Fix task chain for Det -> Cls / Seg by @kprokofi in #4105
• Disable tiling classifier toggle in configurable parameters by @sovrasov in #4107
• Update keypoint detection template by @kprokofi in #4114
• Minor update of the Changelog for the releases/2.2 branch by @kprokofi in #4116
• Version up for 2.2 release by @sovrasov in #4120

New Contributors

• @sooahleex made their first contribution in #3810

Full Changelog: 2.1.0...2.2.0