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Merge Back 2.3.0 (+2.2.0.rc12) to develop (#4072)
* 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 <[email protected]> * Update src/otx/core/model/detection_3d.py Co-authored-by: Eunwoo Shin <[email protected]> * added more unit tests --------- Co-authored-by: Kim, Sungchul <[email protected]> Co-authored-by: Eunwoo Shin <[email protected]> * 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 <[email protected]> * Update test_cli.py * Update test_cli.py --------- Co-authored-by: Eunwoo Shin <[email protected]> * 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 <[email protected]> * 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 <[email protected]> * 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 <[email protected]> Co-authored-by: Kim, Sungchul <[email protected]> * 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 <[email protected]> * Support ImageFromBytes (#3948) * add image_from_bytes Signed-off-by: Ashwin Vaidya <[email protected]> * refactor code Signed-off-by: Ashwin Vaidya <[email protected]> * allow empty anomalous masks Signed-off-by: Ashwin Vaidya <[email protected]> --------- Signed-off-by: Ashwin Vaidya <[email protected]> * Change categories mapping logic (#3946) * change pre-filtering logic * Update src/otx/core/data/pre_filtering.py Co-authored-by: Eunwoo Shin <[email protected]> --------- Co-authored-by: Eunwoo Shin <[email protected]> * 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 <[email protected]> * 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 <[email protected]> * 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 <[email protected]> * Update transforms Signed-off-by: Ashwin Vaidya <[email protected]> * Update changelog Signed-off-by: Ashwin Vaidya <[email protected]> * Update __init__.py --------- Signed-off-by: Ashwin Vaidya <[email protected]> Co-authored-by: Emily Chun <[email protected]> * 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 <[email protected]> Co-authored-by: Yunchu Lee <[email protected]> Co-authored-by: Harim Kang <[email protected]> Co-authored-by: Emily Chun <[email protected]> Co-authored-by: Eunwoo Shin <[email protected]> Co-authored-by: Kim, Sungchul <[email protected]> Co-authored-by: Vladislav Sovrasov <[email protected]> Co-authored-by: Sooah Lee <[email protected]> Co-authored-by: Eugene Liu <[email protected]> Co-authored-by: Wonju Lee <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Leonardo Lai <[email protected]> --------- Signed-off-by: Ashwin Vaidya <[email protected]> Co-authored-by: Emily <[email protected]> Co-authored-by: Prokofiev Kirill <[email protected]> Co-authored-by: Kim, Sungchul <[email protected]> Co-authored-by: Eugene Liu <[email protected]> Co-authored-by: Vladislav Sovrasov <[email protected]> Co-authored-by: Eunwoo Shin <[email protected]> Co-authored-by: Yunchu Lee <[email protected]> Co-authored-by: Sooah Lee <[email protected]> Co-authored-by: Wonju Lee <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Leonardo Lai <[email protected]>
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