Add pinning dependencies #2916
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Add pinning dependencies #2916
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## develop #2916 +/- ##
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* Update base.txt updated dependency version of datumaro * Update __init__.py update version string * Update requirements.txt * Temporarily skip visual prompting openvino integration test (#2323) * Fix import dm.DatasetSubset (#2324) Signed-off-by: Kim, Vinnam <[email protected]> * Fix semantic segmentation soft prediction dtype (#2322) * Fix semantic segmentation soft prediction dtype * relax ref sal vals check --------- Co-authored-by: Songki Choi <[email protected]> * Contrain yapf verison lesser than 0.40.0 (#2328) contrain_yapf_version * Fix detection e2e tests (#2327) Fix for detection * Mergeback: Label addtion/deletion 1.2.4 --> 1.4.0 (#2326) * Make black happy * Fix conflicts * Merge-back: add test datasets and edit the test code * Make black happy * Fix mis-merge * Make balck happy * Fix typo * Fix typoi --------- Co-authored-by: Songki Choi <[email protected]> * Bump datumaro up to 1.4.0rc2 (#2332) bump datumaro up to 1.4.0rc2 * Tiling Doc for releases 1.4.0 (#2333) * Add tiling documentation * Bump otx version to 1.4.0rc2 (#2341) * OTX deploy for visual prompting task (#2311) * Enable `otx deploy` * (WIP) integration test * Docstring * Update args for create_model * Manually set image embedding layout * Enable to use model api for preprocessing - `fit_to_window` doesn't work expectedly, so newly implemented `VisualPromptingOpenvinoAdapter` to use new resize function * Remove skipped test * Updated * Update unit tests on model wrappers * Update * Update configuration * Fix not to patch pretrained path * pylint & update model api version in docstring --------- Co-authored-by: Wonju Lee <[email protected]> * Bump albumentations version in anomaly requirements (#2350) increment albumentations version * Update action detection (#2346) * Remove skip mark for PTQ test of action detection * Update action detection documentation * Fix e2e (#2348) * Change classification dataset from dummy to toy * Revert test changes * Change label name for multilabel dataset * Revert e2e test changes * Change ov test cases' threshold * Add parent's label * Update ModelAPI in 1.4 release (#2347) * Upgrade model API * Update otx in exportable code * Fix unit tests * Fix black * Fix detection inference * Fix det tiling * Fix mypy * Fix demo * Fix visualizer in demo * Fix black * Add OTX optimize for visual prompting task (#2318) * Initial commit * Update block * (WIP) otx optimize * Fix * WIP * Update configs & exported outputs * Remove unused modules for torch * Add unit tests * pre-commit * Update CHANGELOG * Update detection docs (#2335) * Update detection docs * Revert template id changes * Fix wrong template id * Update docs/source/guide/explanation/algorithms/object_detection/object_detection.rst Co-authored-by: Eunwoo Shin <[email protected]> * Update docs/source/guide/explanation/algorithms/object_detection/object_detection.rst Co-authored-by: Eunwoo Shin <[email protected]> --------- Co-authored-by: Eunwoo Shin <[email protected]> * Add visual prompting documentation (#2354) * (WIP) write docs * Add visual prompting documentation * Update CHANGELOG --------- Co-authored-by: sungchul.kim <sungchul@ikvensx010> * Remove custom modelapi patch in visual prompting (#2359) * Remove custom modelapi patch * Update test * Fix graph metric order and label issues (#2356) * Fix graph metric going backward issue * Add license notice * Fix pre-commit issue * Add rename items & logic for metric --------- Signed-off-by: Songki Choi <[email protected]> * Update multi-label document and conversion script (#2358) Update docs, label convert script * Update third party programs (#2365) * Make anomaly task compatible with older albumentations versions (#2363) * fix transforms export in metadata * wrap transform dict * add todo for updating to_dict call * Fixing detection saliency map for one class case (#2368) * fix softmax * fix validity tests * Add e2e test for visual prompting (#2360) * (WIP) otx optimize * pre-commit * (WIP) set e2e * Remove nncf config * Add visual prompting requirement * Add visual prompting in tox * Add visual prompting in setup.py * Fix typo * Delete unused configuration.yaml * Edit test_name * Add to limit activation range * Update from `vp` to `visprompt` * Fix about no returning the first label * pre-commit * (WIP) otx optimize * pre-commit * (WIP) set e2e * Remove nncf config * Add visual prompting requirement * Add visual prompting in tox * Add visual prompting in setup.py * Fix typo * pre-commit * Add actions * Update tests/e2e/cli/visual_prompting/test_visual_prompting.py Co-authored-by: Jaeguk Hyun <[email protected]> * Skip PTQ e2e test * Change task name * Remove skipped tc --------- Co-authored-by: Jaeguk Hyun <[email protected]> * Fix e2e (#2366) * Change e2e reference name * Update openvino eval threshold for multiclass classification * Change comment message * Fix tiling e2e tests --------- Co-authored-by: GalyaZalesskaya <[email protected]> * Add Dino head unit tests (#2344) Recover DINO head unit tests * Update for release 1.4.0rc2 (#2370) * update for release 1.4.0rc2 * Add skip mark for unstable unit tests --------- Co-authored-by: jaegukhyun <[email protected]> * Fix NNCF training on CPU (#2373) * Align label order between Geti and OTX (#2369) * align label order * align with pre-commit * update CHANGELOG.md * deal with edge case * update type hint * Remove CenterCrop from Classification test pipeline and editing missing docs link (#2375) * Fix missing link for docs and removing centercrop for classification data pipeline * Revert the test threshold * Fix H-label classification (#2377) * Fix h-labelissue * Update unit tests * Make black happy * Fix unittests * Make black happy * Fix update heades information func * Update the logic: consider the loss per batch * Update for release 1.4 (#2380) * updated for 1.4.0rc3 * update changelog & release note * bump datumaro version up --------- Co-authored-by: Songki Choi <[email protected]> * Switch to PTQ for sseg (#2374) * Switch to PTQ for sseg * Update log messages * Fix invalid import structures in otx.api (#2383) Update tiler.py * Update for 1.4.0rc4 (#2385) update for release 1.4.0rc4 * [release 1.4.0] XAI: Return saliency maps for Mask RCNN IR async infer (#2395) * Return saliency maps for openvino async infer * add workaround to fix yapf importing error --------- Co-authored-by: eunwoosh <[email protected]> * Update for release 1.4.0 (#2399) update version string Co-authored-by: Sungman Cho <[email protected]> * Fix broken links in documentation (#2405) * fix docs links to datumaro's docs * fix docs links to otx's docs * bump version to 1.4.1 * Update exportable code README (#2411) * Updated for release 1.4.1 (#2412) updated for release 1.4.1 * Add workaround for the incorrect meta info M-RCNN (used for XAI) (#2437) Add workaround for the incorrect mata info * Add model category attributes to model template (#2439) Add model category attributes to model template * Add model category & status fields in model template * Add is_default_for_task attr to model template * Update model templates with category attrs * Add integration tests for model templates consistency * Fix license & doc string * Fix typo * Refactor test cases * Refactor common tests by generator --------- Signed-off-by: Songki Choi <[email protected]> * Update for 1.4.2rc1 (#2441) update for release 1.4.2rc1 * Fix label list order for h-label classification (#2440) * Fix label list for h-label cls * Fix unit tests * Modified fq numbers for lite HRNET (#2445) modified fq numbers for lite HRNET * Update PTQ ignored scope for hrnet 18 mod2 (#2449) Update ptq ignored scope for hrnet 18 mod2 * Fix OpenVINO inference for legacy models (#2450) * bug fix for legacy openvino models * Add tests * Specific exceptions --------- * Update for 1.4.2rc2 (#2455) update for release 1.4.2rc2 * Prevent zero-sized saliency map in tiling if tile size is too big (#2452) * Prevent zero-sized saliency map in tiling if tile size is too big * Prevent zero-sized saliency in tiling (PyTorch) * Add unit tests for Tiler merge features methods --------- Co-authored-by: Galina <[email protected]> * Update pot fq reference number (#2456) update pot fq reference number to 15 * Bump datumaro version to 1.5.0rc0 (#2470) bump datumaro version to 1.5.0rc0 * Set tox version constraint (#2472) set tox version constraint - tox-dev/tox#3110 * Bug fix for albumentations (#2467) * bug fix for legacy openvino models * Address albumentation issue --------- Co-authored-by: Ashwin Vaidya <[email protected]> * update for release 1.4.2rc3 * Add a dummy hierarchical config required by MAPI (#2483) * bump version to 1.4.2rc4 * Bump datumaro version (#2502) * bump datumaro version * remove deprecated/reomved attribute usage of the datumaro * Upgrade nncf version for 1.4 release (#2459) * Upgrade nncf version * Fix nncf interface warning * Set the exact nncf version * Update FQ refs after NNCF upgrade * Use NNCF from pypi * Update version for release 1.4.2rc5 (#2507) update version for release 1.4.2rc5 * Update for 1.4.2 (#2514) update for release 1.4.2 * create branch release/1.5.0 * Delete mem cache handler after training is done (#2535) release mem cache handler after training is done * Fix bug that auto batch size doesn't consider distributed training (#2533) * consider distributed training while searching batch size * update unit test * reveret gpu memory upper bound * fix typo * change allocated to reserved * add unit test for distributed training * align with pre-commit * Apply fix progress hook to release 1.5.0 (#2539) * Fix hook's ordering issue. AdaptiveRepeatHook changes the runner.max_iters before the ProgressHook * Change the expression * Fix typo * Fix multi-label, h-label issue * Fix auto_bs issue * Apply suggestions from code review Co-authored-by: Eunwoo Shin <[email protected]> * Reflecting reviews * Refactor the name of get_data_cfg * Revert adaptive hook sampler init * Refactor the function name: get_data_cfg -> get_subset_data_cfg * Fix unit test errors * Remove adding AdaptiveRepeatDataHook for autobs * Remove unused import * Fix detection and segmentation case in Geti scenario --------- Co-authored-by: Eunwoo Shin <[email protected]> * Re introduce adaptive scheduling for training (#2541) * Re-introduce adaptive patience for training * Revert unit tests * Update for release 1.4.3rc1 (#2542) * Mirror Anomaly ModelAPI changes (#2531) * Migrate anomaly exportable code to modelAPI (#2432) * Fix license in PR template * Migrate to modelAPI * Remove color conversion in streamer * Remove reverse_input_channels * Add float * Remove test as metadata is no longer used * Remove metadata from load method * remove anomalib openvino inferencer * fix signature * Support logacy OpenVINO model * Transform image * add configs * Re-introduce adaptive training (#2543) * Re-introduce adaptive patience for training * Revert unit tests * Fix auto input size mismatch in eval & export (#2530) * Fix auto input size mismatch in eval & export * Re-enable E2E tests for Issue#2518 * Add input size check in export testing * Format float numbers in log * Fix NNCF export shape mismatch * Fix saliency map issue * Disable auto input size if tiling enabled --------- Signed-off-by: Songki Choi <[email protected]> * Update ref. fq number for anomaly e2e2 (#2547) * Skip e2e det tests by issue2548 (#2550) * Add skip to chained TC for issue #2548 (#2552) * Update for release 1.4.3 (#2551) * Update MAPI for 1.5 release (#2555) Upgrade MAPI to v 0.1.6 (#2529) * Upgrade MAPI * Update exp code demo commit * Fix MAPI imports * Update ModelAPI configuration (#2564) * Update MAPI rt infor for detection * Upadte export info for cls, det and seg * Update unit tests * Disable QAT for SegNexts (#2565) * Disable NNCF QAT for SegNext * Del obsolete pot configs * Move NNCF skip marks to test commands to avoid duplication * Add Anomaly modelAPI changes to releases/1.4.0 (#2563) * bug fix for legacy openvino models * Apply otx anomaly 1.5 changes * Fix tests * Fix compression config * fix modelAPI imports * update integration tests * Edit config types * Update keys in deployed model --------- Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Kim, Sungchul <[email protected]> * Fix the CustomNonLinearClsHead when the batch_size is set to 1 (#2571) Fix bn1d issue Co-authored-by: sungmanc <[email protected]> * Update ModelAPI configuration (#2564 from 1.4) (#2568) Update ModelAPI configuration (#2564) * Update MAPI rt infor for detection * Upadte export info for cls, det and seg * Update unit tests * Update for 1.4.4rc1 (#2572) * Hotfix DatasetEntity.get_combined_subset function loop (#2577) Fix get_combined_subset function * Revert default input size to `Default` due to YOLOX perf regression (#2580) Signed-off-by: Songki Choi <[email protected]> * Fix for the degradation issue of the classification task (#2585) * Revert to sync with 1.4.0 * Remove repeat data * Convert to the RGB value * Fix color conversion logic * Fix precommit * Bump datumaro version to 1.5.1rc3 (#2587) * Add label ids to anomaly OpenVINO model xml (#2590) * Add label ids to model xml --------- * Fix DeiT-Tiny model regression during class incremental training (#2594) * enable IBloss for DeiT-Tiny * update changelog * add docstring * Add label ids to model xml in release 1.5 (#2591) Add label ids to model xml * Fix DeiT-Tiny regression test for release/1.4.0 (#2595) * Fix DeiT regression test * update changelog * temp * Fix mmcls bug not wrapping model in DataParallel on CPUs (#2601) Wrap multi-label and h-label classification models by MMDataParallel in case of CPU training. --------- Signed-off-by: Songki Choi <[email protected]> * Fix h-label loss normalization issue w/ exclusive label group of singe label (#2604) * Fix h-label loss normalization issue w/ exclusive label group with signle label * Fix non-linear version --------- Signed-off-by: Songki Choi <[email protected]> * Boost up Image numpy accessing speed through PIL (#2586) * boost up numpy accessing speed through PIL * update CHANGELOG * resolve precommit error * resolve precommit error * add fallback logic with PIL open * use convert instead of draft * Add missing import pathlib for cls e2e testing (#2610) * Fix division by zero in class incremental learning for classification (#2606) * Add empty label to reproduce zero-division error Signed-off-by: Songki Choi <[email protected]> * Fix minor typo Signed-off-by: Songki Choi <[email protected]> * Fix empty label 4 -> 3 Signed-off-by: Songki Choi <[email protected]> * Prevent division by zero Signed-off-by: Songki Choi <[email protected]> * Update license Signed-off-by: Songki Choi <[email protected]> * Update CHANGELOG.md Signed-off-by: Songki Choi <[email protected]> * Fix inefficient sampling Signed-off-by: Songki Choi <[email protected]> * Revert indexing Signed-off-by: Songki Choi <[email protected]> * Fix minor typo Signed-off-by: Songki Choi <[email protected]> --------- Signed-off-by: Songki Choi <[email protected]> * Unify logger usage (#2612) * unify logger * align with pre-commit * unify anomaly logger to otx * change logger file path * align with pre-commit * change logger file path in missing file * configure logger after ConfigManager is initialized * configure logger when ConfigManager instance is initialized * update unit test code * move config_logger to each cli file * align with pre-commit * change part still using mmcv logger * Fix XAI algorithm for Detection (#2609) * Impove saliency maps algorithm for Detection * Remove extra changes * Update unit tests * Changes for 1 class * Fix pre-commit * Update CHANGELOG * Tighten dependency constraint only adapting latest patches (#2607) * tighten dependency constratint only adapting latest patches * adjust scikit-image version w.r.t python version * adjust tensorboard version w.r.t python version * remove version specifier for scikit-image * Add metadata to optimized model (#2618) * bug fix for legacy openvino models * Add metadata to optimized model * Revert formatting changes --------- Co-authored-by: Ashwin Vaidya <[email protected]> * modify omegaconf version constraint * [release 1.5.0] Fix XAI algorithm for Detection (#2617) Update detection XAI algorithm * Update dependency constraint (#2622) * Update tpp (#2621) * Fix h-label bug of missing parent labels in output (#2626) * Fix h-label bug of missing parent labels in output * Fix h-label test data label schema * Update CHANGELOG.md --------- Signed-off-by: Songki Choi <[email protected]> * Update publish workflow (#2625) update publish workflow to push whl to internal pypi * bump datumaro version to ~=1.5.0 * fixed mistake while mergeing back 1.4.4 * modifiy readme * remove openvino model wrapper class * remove openvino model wrapper tests * [release 1.5.0] DeiT: enable tests + add ViTFeatureVectorHook (#2630) Add ViT feature vector hook * Fix docs broken link to datatumaro_h-label Signed-off-by: Songki Choi <[email protected]> * Fix wrong label settings for non-anomaly task ModelAPIs Signed-off-by: Songki Choi <[email protected]> * Update publish workflow for tag checking (#2632) * Update e2e tests for XAI Detection (#2634) Fix e2e XAI ref value * Disable QAT for newly added models (#2636) * Update release note and readme (#2637) * update release note and readme * remove package upload step on internal publish wf * update release note and, changelog, and readme * update version string to 1.6.0dev * fix datumaro version to 1.6.0rc0 * Mergeback 1.5.0 to develop (#2642) * Update publish workflow for tag checking (#2632) * Update e2e tests for XAI Detection (#2634) * Disable QAT for newly added models (#2636) * Update release note and readme (#2637) * remove package upload step on internal publish wf * update release note and, changelog, and readme * update version string to 1.6.0dev --------- Co-authored-by: Galina Zalesskaya <[email protected]> Co-authored-by: Jaeguk Hyun <[email protected]> * Revert "Mergeback 1.5.0 to develop" (#2645) Revert "Mergeback 1.5.0 to develop (#2642)" This reverts commit 2f67686. * Add a tool to help conduct experiments (#2651) * implement run and experiment * implement experiment result aggregator * refactor experiment.py * refactor run.py * get export model speed * add var collumn * refactor experiment.py * refine a way to update argument in cmd * refine resource tracker * support anomaly on research framework * refine code aggregating exp result * bugfix * make other task available * eval task save avg_time_per_images as result * Add new argument to track CPU&GPU utilization and memory usage (#2500) * add argument to track resource usage * fix bug * fix a bug in a multi gpu case * use total cpu usage * add unit test * add mark to unit test * cover edge case * add pynvml in requirement * align with pre-commit * add license comment * update changelog * refine argument help * align with pre-commit * add version to requirement and raise an error if not supported values are given * apply new resource tracker format * refactor run.py * support optimize in research framework * cover edge case * Handle a case where fail cases exist * make argparse raise error rather than exit if problem exist * revert tensorboard aggregator * bugfix * save failed cases as yaml file * deal with integer in variables * add epoch to metric * use latest log.json file * align with otx logging method * move experiment.py from cli to tools * refactor experiment.py * merge otx run feature into experiment.py * move set_arguments_to_cmd definition into experiment.py * refactor experiment.py * bugfix * minor bugfix * use otx.cli instead of each otx entry * add feature to parse single workspace * add comments * fix bugs * align with pre-commit * revert parser argument * align with pre-commit * Make `max_num_detections` configurable (#2647) * Make max_num_detections configurable * Fix RCNN case with integration test * Apply max_num_detections to train_cfg, too --------- Signed-off-by: Songki Choi <[email protected]> * Revert inference batch size to 1 for instance segmentation (#2648) Signed-off-by: Songki Choi <[email protected]> * Fix CPU training issue on non-CUDA system (#2655) Fix bug that auto adaptive batch size raises an error if CUDA isn't available (#2410) --------- Co-authored-by: Sungman Cho <[email protected]> Co-authored-by: Eunwoo Shin <[email protected]> * Remove unnecessary log while building a model (#2658) * revert logger in otx/algorithms/detection/adapters/mmdet/utils/builder.py * revert logger in otx/algorithms/classification/adapters/mmcls/utils/builder.py * make change more readable * Fix a minor bug of experiment.py (#2662) fix bug * Not check avg_time_per_image during test (#2665) * ignore avg_time_per_image during test * do not call stdev when length of array is less than 2 * ignore avg_time_per_image during regerssion test * Update docs for enabling sphinx.ext.autosummary (#2654) * fix some errors/warnings on docs source * enable sphinx-autosummary for API reference documentation * Update Makefile * update sphinx configuration * Update PTQ docs (#2672) * Replace POT -> PTQ * Fixes from comments * Update regression tests for develop (#2652) * Update regression tests (#2556) * update reg tests * update test suit * update regression criteria --------- Co-authored-by: Eunwoo Shin <[email protected]> * Exclude py37 target config for cibuildwheel (#2673) * Add `--dryrun` option to tools/experiment.py (#2674) * Fix variable override bug * Add --dryrun option to see experiment list --------- Signed-off-by: Songki Choi <[email protected]> * Update OTX explain CLI arguments (#2671) * Change int8 to uint8 to XAI tests * Add probabilities for CLI demo * Rename arguments for explain * Fix pre-commit * Remove extra changes * Fix integration tests * Fix integration "explain_all_classes" test for OV * Fix e2e tests for explain (#2681) * Add README.md for experiment.py (#2688) * write draft readme * refine readme * align with pre-commit * Fix typo in reg test cmd (#2691) * Select more proper model weight file according to commands run just before (#2696) * consider more complex case when prepare eval and optimize * update readme * align with pre-commit * add comment * Add visual prompting zero-shot learning (`learn` & `infer`) (#2616) * Add algobackend & temp configs * Update config * WIP * Fix to enable `algo_backend` * (WIP) Update dataset * (WIP) Update configs * (WIP) Update tasks * (WIP) Update models * Enable `learn` task through otx.train * (WIP) enable `infer` (TODO : normalize points) * Fix when `state_dict` is None * Enable `ZeroShotInferenceCallback` * Enable otx infer * Enable to independently use processor * Revert max_steps * Change `postprocess_masks` to `staticmethod` * Add `PromptGetter` & Enable `learn` and `infer` * precommit * Fix args * Fix typo * Change `id` to `id_` * Fix import * Fix args * precommit * (WIP) Add unit tests * Fix * Add unit tests * Fix * Add integration tests * precommit * Update CHANGELOG.md * Update docstring and type annotations * Fix * precommit * Fix unused args * precommit * Fix * Fix unsupported dtype in ov graph constant converter (#2676) * Fix unsupported dtype in ov graph constant converter * Fix more ov-graph related unit tests * Skip failure TC with adding issue number ref. (#2717) * Fix visual prompting e2e test (#2719) Skip zero-shot e2e * Remove duplicated variable combination in experiment.py (#2713) * Enhance detection & instance segmentation experiment (#2710) * Compute precision and recall along with f-measure * Log performance * Accept ellipse annotation from datumaro format * Fix dataset adapter condition for det/iset * Insert garbage collection btw experiments * Upgrade NNCF & OpenVINO (#2656) * Upgrade OV MAPI and NNCF version * Update demo requirements * Update changelog * Update datumaro * Add rust installation * Update NNCF configs for IS models * Update more fqs * Exclude nncf from upgrade * Revert "Update NNCF configs for IS models" This reverts commit 7c8db8c. * Revert "Update more fqs" This reverts commit 5b91c32. * Revert "Exclude nncf from upgrade" This reverts commit 8926c51. * Update FQs * Revert "Revert "Update NNCF configs for IS models"" This reverts commit f904c0c. * Disable explain for NNCF detection task * Update FQs for anomaly * Update cls FQs * Update datumaro * Update exportable code requirements * Add unit test to cover the changes * Fix multilabel classification class index (#2736) Fix multilabel cls * Refine parsing final score of training in experiment.py (#2738) refine val parser * Make mean teacher algorithm consider distributed training (#2729) * make mean_teacher consider distributed training * align with pre-commit * re-enable test case * move tensor not to cuda but current device * apply comment * Add visual prompting zero-shot learning (`export`, IR inference) (#2706) * Add algobackend & temp configs * Update config * WIP * Fix to enable `algo_backend` * (WIP) Update dataset * (WIP) Update configs * (WIP) Update tasks * (WIP) Update models * Enable `learn` task through otx.train * (WIP) enable `infer` (TODO : normalize points) * Fix when `state_dict` is None * Enable `ZeroShotInferenceCallback` * Enable otx infer * Enable to independently use processor * Revert max_steps * Change `postprocess_masks` to `staticmethod` * Add `PromptGetter` & Enable `learn` and `infer` * precommit * Fix args * Fix typo * Change `id` to `id_` * Fix import * Fix args * precommit * (WIP) Add unit tests * Fix * Add unit tests * Fix * Add integration tests * precommit * Update CHANGELOG.md * Update docstring and type annotations * Fix * precommit * Reuse SAM modules for `export` & Add dataset * Fix * Enable `export` * Convert fp32 * Update logic & tests * Fix & Add prompt getter in `model_adapter_keys` * Initial `Inferencer`, `Task`, and `Model` * Fix to use original mask decoder during inference * Remove internal loop in `PromptGetter` * Update IO * (WIP) Add unit tests for export * Update `PromptGetter` to use only tensor ops * Fix issue about `original_size` disappear in onnx graph * (WIP) Add export unit test * Update * Fix typo * Update * Fix unexpected IF & Update inputs to avoid issues which OV on CPU doesn't support dynamic operations * Enable `PromptGetter` to handle #labels itself * Add ov inferencer * Fix overflow during casting dtype & duplicated cast * Fix * Add unit&integration tests * pre-commit * Fix original vpms * Fix intg & e2e tests * Change mo CLI to API * precommit * Remove blocks * Update CHANGELOG.md * Avoid repeatedly assigning constant tensors/arrays * Fix typo * Automate performance benchmark (#2742) * Add parameterized perf test template * Split acccuracy / perf tests * Automate speed test setting * Add benchmark summary fixture * Add multi/h-label tests * Add detection tests * Add instance segmentationt tests * Add tiling tests * Add semantic segmenation tests * Add anomaly test * Update tools/expreiment.py (#2751) * have constant exp directory name * support to parse dynamic eval output * align with pre-commit * fix minor unit test bug * Add performance benchmark github action workflow (#2762) * Split accuracy & speed benchmark github workflows (#2763) * Fix a bug that error is raised when train set size is greater than minimumof batch size in HPO by exactly 1 (#2760) deal with HPO edge case * Fix a bug that a process tracking resource usage doesn't exit when main process raises an error (#2765) * termiate a process tracking resource usage if main process raises an error * call stop() only if ExitStack is None * Skip large datasets for iSeg perf benchmark (#2766) * Support multiple experiments in single recipe for tools/experiment.py (#2757) * implement draft version * update logging failed cases * align with pre-commit * add doc string * Update README file * fix bugs: single command, failed case output * exclude first epoch from calculating iter time * fix weird name used when there is no variables * align with pre-commit * initialize iter_time and data_time at first * Enable perf benchmark result logging to mlflow server (#2768) * Bump datumaro version to 1.6.0rc1 (#2784) * bump datumaro version to 1.6.0rc1 * remove rust toolchain installation step from workflows * Update perf logging (#2785) * Update perf logging workflow to get branch+sha from gh context (#2791) * update perf logging workflow to get branch+sha from gh context * skip logging when tracking server uri is not configured * Add visual prompting zero-shot learning (optimize, documentation, bug fixes) (#2753) * Fix to resize bbox * (WIP) Add post-checking between masks with different labels * Fix to use the first mask in the first loop * Add post-checking between masks with different labels * pre-commit * Add optimize task * pre-commit * Add e2e * Update documentation * Update CHANGELOG * Check performance benchmark result with reference (#2821) * Average 'Small' (/1 /2 /3) dataset benchmark results * Load perf result with indexing * Add speed ref check for all tasks * Add accuracy ref check for all tasks * Mergeback releases/1.5.0 to develop (#2830) * Update MAPI version (#2730) * Update dependency for exportable code (#2732) * Filter invalid polygon shapes (#2795) --------- Co-authored-by: Vladislav Sovrasov <[email protected]> Co-authored-by: Eugene Liu <[email protected]> * Create OSSF scorecard workflow (#2831) * Fix ossf/scorecard-action version (#2832) * Update scorecard.yml * Update perf benchmark reference (#2843) * Set default wf permission to read-all (#2882) * Remedy token permission issue (#2888) * remedy token-permission issues - part2 * removed dispatch event from scorecard wf * Add progress callback interface to HPO (#2889) * add progress callback as HPO argument * deal with edge case * Restrict configurable parameters to avoid unreasonable cost for SaaS trial (#2891) * Reduce max value of POT samples to 1k * Reduce max value of num_iters to 1k * Fix pre-commit * Fix more token-permission issues - part3 (#2893) * Resolve pinned-dependency issues on publish_internal workflow (#2907) * Forward unittest workloads to AWS (#2887) * Resolve pinned dependency issues on workflows (#2909) * Fix pinned-dependency issues - part2 (#2911) * Add pinning dependencies (#2916) * Update pip install cmd to use hashes (#2919) * Fix HPO progress callback bug (#2908) fix minor bug * Fix pinned-dependencies issues (#2929) * Remove unused test files (#2930) * Update weekly workflow to run perf tests (#2920) * update weekly workflow to run perf tests * Fix missing fixture in perf test * update input to perf tests for weekly --------- Co-authored-by: Songki Choi <[email protected]> * Adjust permission of documentation workflows from pages to contents for writing (#2933) * remove unused import --------- Signed-off-by: Kim, Vinnam <[email protected]> Signed-off-by: Songki Choi <[email protected]> Co-authored-by: Yunchu Lee <[email protected]> Co-authored-by: Kim, Sungchul <[email protected]> Co-authored-by: Vinnam Kim <[email protected]> Co-authored-by: Evgeny Tsykunov <[email protected]> Co-authored-by: Songki Choi <[email protected]> Co-authored-by: Eunwoo Shin <[email protected]> Co-authored-by: Jaeguk Hyun <[email protected]> Co-authored-by: Sungman Cho <[email protected]> Co-authored-by: Eugene Liu <[email protected]> Co-authored-by: Wonju Lee <[email protected]> Co-authored-by: Dick Ameln <[email protected]> Co-authored-by: Vladislav Sovrasov <[email protected]> Co-authored-by: sungchul.kim <sungchul@ikvensx010> Co-authored-by: GalyaZalesskaya <[email protected]> Co-authored-by: Harim Kang <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: sungmanc <[email protected]>
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