Merge back 2.3.0 to develop (#4095)

* Update E2E tests for OTX2.3.0 validation

* Added unit tests for 3d Object Detection, fix linter for the rest of the files. (#4008)

* added unit tests, fix linter for dataset

* fixed linter in val

* returned init back

* added exporter test

* added test for detection_3d model

* fix pylint

* fix integration tests

* fixed perf tests

* Fix empty bbox error for YOLOv9 to 2.3.0 (#4026)

* Fix empty bbox error

* Add unit test

* precommit

* Update model name in rotated_detection recipes - 2.3 (#4028)

* Update model name in rotated_detection recipes

* Add OV inference for 3d detection (#4017)

* Add OV inference for 3d detection

* Fix unit tests

* Update changelog

* Refactor dummy input

* Fix torch deprecation warning

* Update 3d det unit tests

* Fix ruff

* Fix flops counter call

* Minor updates

* Fix import

* Update CHANGELOG for #4026 (#4038)

Update changelog

* Make mAP 3D more general (#4031)

* added coco metric

* fix linter

* added ap_05

* fix perf test

* small fix

* fix some misc comments from previous PRs

* reply comments

* Move transforms from 3d object detection dataset (#4046)

* added coco metric

* fix linter

* added ap_05

* fix perf test

* small fix

* fix some misc comments from previous PRs

* move transforms from dataset. Metric not working

* test metric. still 0

* transforms work. metric is expected. Delete kitty utils

* remove unit test

* fix unit tests

* fix OV IR inference. reply comments

* minor

* fix linter

* Update src/otx/core/data/transform_libs/torchvision.py

Co-authored-by: Kim, Sungchul <sungchul.kim@intel.com>

* Update src/otx/core/model/detection_3d.py

Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com>

* added more unit tests

---------

Co-authored-by: Kim, Sungchul <sungchul.kim@intel.com>
Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com>

* Merge back OTX2.2RC12 to OTX2.3 (#4071)

* update for releases 2.2.0rc0

* Fix Classification explain forward issue (#3867)

Fix bug

* Fix e2e code error (#3871)

* Update test_cli.py

* Update tests/e2e/cli/test_cli.py

Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com>

* Update test_cli.py

* Update test_cli.py

---------

Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com>

* Add documentation about configurable input size (#3870)

* add docs about configurable input size

* update api usecase and fix bug

* Fix zero-shot e2e (#3876)

Fix

* Fix DeiT for multi-label classification (#3881)

Remove init_args

* Fix Semi-SL for ViT accuracy drop (#3883)

Remove init_args

* Update docs for 2.2 (#3884)

Update docs

* Fix mean and scale for segmentation task (#3885)

fix mean and scale

* Update MAPI in 2.2 (#3889)

* Bump MAPI

* Update exportable code requirements

* Improve Semi-SL for LiteHRNet (small-medium case) (#3891)

* change drop pixels value

* go safe, change only tested models

* minor

* Improve h-cls for eff models (#3893)

* Update step size for eff v2

* Update effb0 recipe

* Fix maskrcnn swin nncf acc drop (#3900)

update maskrcnn swimt model type to transformer

* Add keypoint detection recipe for single object cases (#3903)

* add rtmpose_tiny for single obj

* add rtmpose_tiny for single obj

* modify test subset name

* fix unit test

* update recipe with reset

* Improve acc drop of efficientnetv2 for h-label cls (#3907)

* Add warmup_iters for effv2

* Update max_epochs

* Fix pretrained weight cached dir for timm (#3909)

* Fix pretrained_weight for timm

* Fix unit-test

* Fix keypoint detection single obj recipe (#3915)

* add rtmpose_tiny for single obj

* modify test subset name

* fix unit test

* property for pck

* Fix cached dir for timm & hugging-face (#3914)

* Fix cached dir

* Pretrained weight download unit-test

* Fix pre-commit

* Fix wrong template id mapping for anomaly (#3916)

* Update script to allow setting otx version using env. variable (#3913)

* Fix Datamodule creation for OV in AutoConfigurator (#3920)

Fix datamodule for ov

* Update tpp file for 2.2.0 (#3921)

* Fix names for ignored scope [HOT-FIX, 2.2.0] (#3924)

fix names for ignored scope

* Fix classification rt_info (#3922)

* Restore output_raw_scores for classificaiton

* Add uts

* Fix linter

* Update label info (#3925)

add label info to init

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>

* Fix binary classification metric task (#3928)

* Fix binary classification

* Add unit-tests

* Improve MaskRCNN SwinT NNCF (#3929)

* ignore heads and disable smooth quant

* add activations_range_estimator_params

* update changelog

* Fix get_item for Chained Tasks in Classification (#3931)

* Fix Task Chain

* Add multi-label case as well

* Add multi-label case as well2

* Add H-label case

* Correct Keyerror for h-label cls in label_groups for dm_label_categories using label's id/key (#3932)

Modify label_groups for dm_label_categories with id/key of label

* Remove datumaro attribute id from tiling, add subset names (#3933)

* remove datumaro attribute id from tiling

* add subset names

* Fix soft predictions for Semantic Segmentation (#3934)

fix soft preds

* Update STFPM config (#3935)

* Add missing pretrained weights when creating a docker image (#3938)

* Fix pre-trained weight downloader

* Remove if condition for pretrained wiehgt download

* Change default option 'full' to 'base' in otx install (#3937)

* Change option full to base for otx install

* Fix wrong code

* Fix issue

* Fix docs

* Fix auto adapt batch size in Converter (#3939)

* Enable auto adapt batch size into converter

* Fix wrong

* Fix hpo converter (#3940)

* save best hp after hpo

* add test

* Fix tiling XAI out of range (#3943)

- Fix tile merge XAI out of range

* enable model export (#3952)

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>

* Move templates from OTX1.X to OTX2.X (#3951)

* add otx1.6 templates

* added new models

* delete entrypoints and nncf cfg

* updated some hyperparams

* fix for rtmdet_tiny

* updated converter

* Update classification templates

* Update det, r-det, vpm

* Update template.yaml

* changed warmaup value in train.yaml

---------

Co-authored-by: Kang, Harim <harim.kang@intel.com>
Co-authored-by: Kim, Sungchul <sungchul.kim@intel.com>

* Add missing tile recipes and various tile recipe changes  (#3942)

* add missing tile recipes

* Fix tiling XAI out of range (#3943)

- Fix tile merge XAI out of range

* update xai tile merge

* update rtdetr

* update tile recipes

* update rtdetr tile postprocess

* update rtdetr recipes and tile recipes

* update tile recipes

* fix rtdetr unittest

* update recipes

* refactor tile unit test

* address pr reviews

* remove unnecessary files

* update color channel

* fix image channel passing

* include tiling in cli integration test

* remove transform_bbox

---------

Co-authored-by: Vladislav Sovrasov <sovrasov.vlad@gmail.com>

* Support ImageFromBytes (#3948)

* add image_from_bytes

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>

* refactor code

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>

* allow empty anomalous masks

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>

---------

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>

* Change categories mapping logic (#3946)

* change pre-filtering logic

* Update src/otx/core/data/pre_filtering.py

Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com>

---------

Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com>

* Update for 2.2.0rc1 (#3956)

* Include Geti arrow dataset subset names (#3962)

* restrited number of output masks by tiling

* add geti subset name

* update num of max pred

* Include full image with anno in case there's no tile in tile dataset (#3964)

* include full image with anno incase there's no tile in dataset

* update test

* Add type checker in converter for callable functions (optimizer, scheduler) (#3968)

Fix converter callable functions (optimizer, scheduler)

* Update for 2.2.0rc2 (#3969)

update for 2.2.0rc2

* Fix config converter for tiling (#3973)

fix config converter for tiling

* Update for 2.2.0rc3 (#3975)

* Change sematic segmentation to consider bbox only annotations. (#3996)

* segmentation consider bbox only annotations

* add unit test

* add unit test

* update fixture

* use name attribute

* revert tox file

* update for 2.2.0rc4

---------

Co-authored-by: Yunchu Lee <yunchu.lee@intel.com>

* Relieve memory usage criteria on batch size 2 during adaptive_bs (#4009)

* release memory usage cirteria on batch size 2 during adpative_bs

* update unit test

* update unit test

* Remove background label from RT Info for segmentation task (#4011)

* remove background from rt_info

* provide another solution

* fix unit test

* Fix num_trials calculation on dataset length less than num_class (#4014)

Fix balanced sampler

* Fix out_features in HierarchicalCBAMClsHead (#4016)

Fix out_features

* Fix empty anno (#4010)

* Refactor mask_target_single function to handle unsupported ground truth mask types and provide warnings for missing ground truth masks

* Refactor bbox_overlaps function to handle unsupported ground truth mask types and provide warnings for missing ground truth masks

* Refactor export script to export multiple directories

* Refactor test_bbox_overlaps_2d to handle mismatched batch dimensions of bboxes

* Refactor bbox_overlaps function error exception

* update changelog

---------

Co-authored-by: Harim Kang <harim.kang@intel.com>

* Update for release 2.2.0rc5 (#4015)

* Prevent using too low confidence thresholds in detection (#4018)

Prevent writing too low confidence thresholds to MAPI configuration

* Update for release 2.2.0rc6 (#4027)

* Update pre-merge workflow (#4032)

* Update HPO interface (#4035)

* update hpo interface

* update unit test

* update CHANGELOG.md

* Enable keypoint detection training through config conversion (#4034)

enable keypoint det config converter

* Update for release 2.2.0rc7 (#4036)

update for release 2.2.0rc7

* Fix multilabel_accuracy of MixedHLabelAccuracy (#4042)

* Fix metric for multi-label

* Fix1

* Add CHANGELOG

* Update for release 2.2.0rc8 (#4043)

* Fix wrong indices setting in HLabelInfo (#4044)

* Fix wrong indices setting in label_info

* Add unit-test & update for releases

* Add legacy template LiteHRNet_18 template (#4049)

added legacy template

* Model templates: rename model_status value 'DISCONTINUED' to 'OBSOLETE' (#4051)

rename 'DISCONTINUED' to 'OBSOLETE' in model templates

* Enable export of feature vectors for semantic segmentation task (#4055)

* Upgrade MAPI in 2.2 (#4052)

* Update MRCNN model export to include feature vector and saliency map (#4056)

* Fix applying model's hparams when loading model from checkpoint (#4057)

* Update anomaly transforms (#4059)

* Update transforms

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>

* Update transforms

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>

* Update changelog

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>

* Update __init__.py

---------

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>
Co-authored-by: Emily Chun <emily.chun@intel.com>

* Bump onnx to 1.17.0 to omit CVE-2024-5187 (#4063)

* Fix incorrect all_groups order configuration in HLabelInfo (#4067)

* Fix all_labels

* Update CHAGELOG

* label_groups change

* fix conflicts

---------

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>
Co-authored-by: Yunchu Lee <yunchu.lee@intel.com>
Co-authored-by: Harim Kang <harim.kang@intel.com>
Co-authored-by: Emily Chun <emily.chun@intel.com>
Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com>
Co-authored-by: Kim, Sungchul <sungchul.kim@intel.com>
Co-authored-by: Vladislav Sovrasov <sovrasov.vlad@gmail.com>
Co-authored-by: Sooah Lee <sooah.lee@intel.com>
Co-authored-by: Eugene Liu <eugene.liu@intel.com>
Co-authored-by: Wonju Lee <wonju.lee@intel.com>
Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com>
Co-authored-by: Leonardo Lai <leonardo.lai@intel.com>

* Fix supcon flag in template (#4076)

* Update template

* Update CHANGELOG

* remove CI settings

* return back changes to work with torch compile

---------

Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>
Co-authored-by: Emily <emily.chun@intel.com>
Co-authored-by: Kim, Sungchul <sungchul.kim@intel.com>
Co-authored-by: Eugene Liu <eugene.liu@intel.com>
Co-authored-by: Vladislav Sovrasov <sovrasov.vlad@gmail.com>
Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com>
Co-authored-by: Yunchu Lee <yunchu.lee@intel.com>
Co-authored-by: Harim Kang <harim.kang@intel.com>
Co-authored-by: Sooah Lee <sooah.lee@intel.com>
Co-authored-by: Wonju Lee <wonju.lee@intel.com>
Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com>
Co-authored-by: Leonardo Lai <leonardo.lai@intel.com>

CHANGELOG.md

@@ -61,6 +61,8 @@ All notable changes to this project will be documented in this file.
   (<https://github.com/openvinotoolkit/training_extensions/pull/3972>)
 - Update model name in rotated detection recipes
   (<https://github.com/openvinotoolkit/training_extensions/pull/4028>)
+- Fix SupCon flag
+  (https://github.com/openvinotoolkit/training_extensions/pull/4076)
 
 ## \[2.2.0\]
 

src/otx/tools/templates/segmentation/configuration.yaml

@@ -191,7 +191,7 @@ learning_parameters:
       operator: AND
       rules: []
       type: UI_RULES
-    visible_in_ui: true
+    visible_in_ui: false
     warning: null
   auto_adapt_batch_size:
     affects_outcome_of: TRAINING