Merge back OTX2.2RC12 to OTX2.3 #4071

kprokofi · 2024-10-25T17:56:53Z

Summary

How to test

Checklist

I have added unit tests to cover my changes.
I have added integration tests to cover my changes.
I have ran e2e tests and there is no issues.
I have added the description of my changes into CHANGELOG in my target branch (e.g., CHANGELOG in develop).
I have updated the documentation in my target branch accordingly (e.g., documentation in develop).
I have linked related issues.

License

I submit my code changes under the same Apache License that covers the project.
Feel free to contact the maintainers if that's a concern.
I have updated the license header for each file (see an example below).

# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

Fix bug

* 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 docs about configurable input size * update api usecase and fix bug

Fix

Remove init_args

Update docs

fix mean and scale

* Bump MAPI * Update exportable code requirements

* change drop pixels value * go safe, change only tested models * minor

* Update step size for eff v2 * Update effb0 recipe

update maskrcnn swimt model type to transformer

* add rtmpose_tiny for single obj * add rtmpose_tiny for single obj * modify test subset name * fix unit test * update recipe with reset

* Add warmup_iters for effv2 * Update max_epochs

* Fix pretrained_weight for timm * Fix unit-test

* add rtmpose_tiny for single obj * modify test subset name * fix unit test * property for pck

* Fix cached dir * Pretrained weight download unit-test * Fix pre-commit

Fix datamodule for ov

fix names for ignored scope

* Restore output_raw_scores for classificaiton * Add uts * Fix linter

add label info to init Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>

* Fix binary classification * Add unit-tests

* ignore heads and disable smooth quant * add activations_range_estimator_params * update changelog

* Fix Task Chain * Add multi-label case as well * Add multi-label case as well2 * Add H-label case

…ies 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

* 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>

* Fix all_labels * Update CHAGELOG * label_groups change

codecov · 2024-10-25T18:21:38Z

Codecov Report

Attention: Patch coverage is 67.18750% with 42 lines in your changes missing coverage. Please review.

Please upload report for BASE (releases/2.3.0@6672653). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
src/otx/core/model/segmentation.py	30.43%	16 Missing ⚠️
src/otx/engine/engine.py	73.91%	6 Missing ⚠️
src/otx/algo/common/utils/bbox_overlaps.py	69.23%	4 Missing ⚠️
..._segmentation/utils/structures/mask/mask_target.py	33.33%	4 Missing ⚠️
src/otx/algo/segmentation/huggingface_model.py	0.00%	3 Missing ⚠️
src/otx/algo/segmentation/segmentors/base_model.py	57.14%	3 Missing ⚠️
...algo/instance_segmentation/segmentors/two_stage.py	66.66%	2 Missing ⚠️
src/otx/engine/adaptive_bs/bs_search_algo.py	80.00%	2 Missing ⚠️
src/otx/core/metrics/accuracy.py	85.71%	1 Missing ⚠️
src/otx/engine/hpo/hpo_api.py	93.33%	1 Missing ⚠️

Additional details and impacted files

@@                Coverage Diff                @@
##             releases/2.3.0    #4071   +/-   ##
=================================================
  Coverage                  ?   80.29%           
=================================================
  Files                     ?      307           
  Lines                     ?    30457           
  Branches                  ?        0           
=================================================
  Hits                      ?    24454           
  Misses                    ?     6003           
  Partials                  ?        0

Flag	Coverage Δ
py310	`80.26% <67.18%> (?)`
py311	`79.87% <67.18%> (?)`

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

* 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> --------- Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com> Co-authored-by: Emily <emily.chun@intel.com> Co-authored-by: Prokofiev Kirill <kirill.prokofiev@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: 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>

* 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>

yunchu and others added 30 commits August 20, 2024 09:16

update for releases 2.2.0rc0

d1bd1d5

Fix Classification explain forward issue (#3867)

c16f985

Fix bug

Fix e2e code error (#3871)

cba5120

* 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)

b807c9d

* add docs about configurable input size * update api usecase and fix bug

Fix zero-shot e2e (#3876)

2835aba

Fix

Fix DeiT for multi-label classification (#3881)

ccf2d50

Remove init_args

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

e577b6a

Remove init_args

Update docs for 2.2 (#3884)

d1dd2b0

Update docs

Fix mean and scale for segmentation task (#3885)

c17a923

fix mean and scale

Update MAPI in 2.2 (#3889)

d72feeb

* Bump MAPI * Update exportable code requirements

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

00ed3a0

* change drop pixels value * go safe, change only tested models * minor

Improve h-cls for eff models (#3893)

2c6b4de

* Update step size for eff v2 * Update effb0 recipe

Fix maskrcnn swin nncf acc drop (#3900)

0dc7a29

update maskrcnn swimt model type to transformer

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

0d6799c

* 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)

8115b52

* Add warmup_iters for effv2 * Update max_epochs

Fix pretrained weight cached dir for timm (#3909)

4c8555e

* Fix pretrained_weight for timm * Fix unit-test

Fix keypoint detection single obj recipe (#3915)

52221e3

* add rtmpose_tiny for single obj * modify test subset name * fix unit test * property for pck

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

9265c59

* Fix cached dir * Pretrained weight download unit-test * Fix pre-commit

Fix wrong template id mapping for anomaly (#3916)

5170736

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

f611cc1

Fix Datamodule creation for OV in AutoConfigurator (#3920)

425a479

Fix datamodule for ov

Update tpp file for 2.2.0 (#3921)

7f1c7da

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

51d1adf

fix names for ignored scope

Fix classification rt_info (#3922)

2bcf1b2

* Restore output_raw_scores for classificaiton * Add uts * Fix linter

Update label info (#3925)

112b2b2

add label info to init Signed-off-by: Ashwin Vaidya <ashwinnitinvaidya@gmail.com>

Fix binary classification metric task (#3928)

929132d

* Fix binary classification * Add unit-tests

Improve MaskRCNN SwinT NNCF (#3929)

706f99b

* ignore heads and disable smooth quant * add activations_range_estimator_params * update changelog

Fix get_item for Chained Tasks in Classification (#3931)

53a7d9a

* 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_categor…

c3749e3

…ies 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)

98a9cac

* remove datumaro attribute id from tiling * add subset names

sungchul2 and others added 5 commits October 23, 2024 17:39

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

d85f5da

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

8bba44c

Fix incorrect all_groups order configuration in HLabelInfo (#4067)

a2d2c81

* Fix all_labels * Update CHAGELOG * label_groups change

merge releases/2.3.0

49ce322

kprokofi requested review from samet-akcay, harimkang, eugene123tw, chuneuny-emily, sovrasov, sungchul2, GalyaZalesskaya, negvet, goodsong81, yunchu, wonjuleee and eunwoosh as code owners October 25, 2024 17:56

github-actions bot added DEPENDENCY Any changes in any dependencies (new dep or its version) should be produced via Change Request on PM TEST Any changes in tests BUILD DOC Improvements or additions to documentation OTX 2.0 labels Oct 25, 2024

fix conflicts

ecb3c01

harimkang approved these changes Oct 28, 2024

View reviewed changes

sungchul2 approved these changes Oct 28, 2024

View reviewed changes

harimkang merged commit 41c1d38 into releases/2.3.0 Oct 28, 2024
22 checks passed

harimkang deleted the kp/merge_back_rc10 branch October 28, 2024 04:14

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Merge back OTX2.2RC12 to OTX2.3 #4071

Merge back OTX2.2RC12 to OTX2.3 #4071

kprokofi commented Oct 25, 2024

codecov bot commented Oct 25, 2024 •

edited

Loading

Merge back OTX2.2RC12 to OTX2.3 #4071

Merge back OTX2.2RC12 to OTX2.3 #4071

Conversation

kprokofi commented Oct 25, 2024

Summary

How to test

Checklist

License

codecov bot commented Oct 25, 2024 • edited Loading

Codecov Report

codecov bot commented Oct 25, 2024 •

edited

Loading