[Anomaly Task] Revert hpo template #1230

ashwinvaidya17 · 2022-08-26T07:58:34Z

Description

Reverts anomaly configuration location for anomaly task.

Linting

Tests

BMM - https://10.211.120.64/projects/630df620d6855fe642a8c33e/models/630df65b43a94424795576e0/630dfc0243a9442479557e13

Manual testing

HPO works
NNCF POT and Training time optimization work

OTX - http://validationreports.sclab.intel.com:8006/reports/build_number_report?test_session_build_number=pr-ote-test-552&environment=iotg-dev-workstation-10

Only these tests are failing

Merge along with

https://github.com/intel-innersource/frameworks.ai.interactive-ai-workflow.sonoma-creek/pull/2720

ashwinvaidya17 · 2022-08-26T08:08:57Z

run ote-test

goodsong81 · 2022-08-26T08:41:31Z

Do you revert the config paths due to https://jira.devtools.intel.com/browse/CVS-89912?
It will be resolved by this PR: #1228

ashwinvaidya17 · 2022-08-26T08:44:11Z

Do you revert the config paths due to https://jira.devtools.intel.com/browse/CVS-89912? It will be resolved by this PR: #1228

Yeah. That's great! Fewer lines of code 🙂. I'll close this PR

samet-akcay · 2022-08-26T08:50:07Z

Wait, I think 1228 addresses the NNCF issue. This PR is for the HPO stuff right? @ashwinvaidya17

samet-akcay · 2022-08-26T08:50:22Z

Am I missing anything here?

goodsong81 · 2022-08-26T09:18:13Z

Wanted to check if this is a duplicate. We concluded that this PR is needed. In addition, we may or may not revert the change in #1228 as we are changing the path itself.

nikita-savelyevv · 2022-08-29T16:46:23Z

I've also found https://jira.devtools.intel.com/browse/CVS-90401 . This seems like a relevant PR to me. @ashwinvaidya17, is it by any chance fixed here?

Edit: after looking into it in more detail, I see that the issue above comes up because pruning is not supported for anomaly classification task, but due to wrong configuration file it is possible to run it nevertheless. As this PR merely changes the location of config files, it's not that relevant. Will create a separate one.

ashwinvaidya17 · 2022-08-30T07:07:31Z

@nikita-savelyevv https://jira.devtools.intel.com/browse/CVS-90401 this hasn't been addressed here but I can have a look as I am looking into why the nncf optimization is failing.

nikita-savelyevv · 2022-08-30T07:21:39Z

@ashwinvaidya17, thanks, if you find anything that will be great.

I suspect the issue is somewhere here

ashwinvaidya17 · 2022-08-30T12:31:10Z

@nikita-savelyevv pruning is now disabled in the UI

nikita-savelyevv · 2022-08-30T12:35:09Z

@nikita-savelyevv pruning is now disabled in the UI

Good. Have you tried uploading more than 1000 data samples? This is usually the requirement for the pruning to get enabled.

ashwinvaidya17 · 2022-08-30T14:22:17Z

@nikita-savelyevv It shows up with 1000> images 😕

nikita-savelyevv · 2022-08-30T14:28:06Z

@ashwinvaidya17 Hmm, maybe also set visible_in_ui: false for pruning_supported.

Edit: On the second thought, this probably won't help. This parameter however should be set to false anyway.

nikita-savelyevv · 2022-08-30T15:08:23Z

All in all, it was decided to leave https://jira.devtools.intel.com/browse/CVS-90401 for further investigation and possibly another PR, if the issue is on OTE side.

djdameln

In external/anomaly/configs/classification/draem folder we now have compression_config.json and compression_config copy.json, with different contents. I guess the copy is there by mistake?

external/anomaly/configs/draem/configuration.py

external/anomaly/tasks/inference.py

djdameln

Thanks!

ashwinvaidya17 · 2022-08-31T14:50:33Z

run ote-test

samet-akcay

thanks for reverting this, and sorry for the continous change :(

goodsong81

What a huge PR, but LGTM!

ashwinvaidya17 · 2022-09-01T07:05:28Z

Latest build - https://10.211.120.64/projects/631057083ab7bc8ba784abd3/models

* Move configuration.yaml and associated files to tempates folder. * Revert to old configuration format + fix save model issue * Update nncf compression_config.json path * Disable editable in pruning_supported * Remove copy * Move algorithm/configuration.py to base

…1284) * Update submodule branch (#1222) * Enhance training schedule for multi-label classification (#1212) * [CVS-88098] Remove initialize from export functions (#1226) * Train graph added (#1211) Co-authored-by: Lee, Soobee <[email protected]> * Add @attrs decorator for base configs (#1229) Signed-off-by: Songki Choi <[email protected]> Co-authored-by: Harim Kang <[email protected]> * Pretrained weight download error in MobilenetV3-large-1 of deep-object-reid in SC (#1233) * [Anomaly Task] Revert hpo template (#1230) * 🐞 [Anomaly Task] Fix progress bar (#1223) * [CVS-90555] Fix NaN value in classification (#1244) * update hpo_config.yaml (#1240) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * Turned off pruning_support visibility for anomaly models (CVS-91015) * Disabled pruning for EfficientNet-V2-S (CVS-90400) * [Anomaly Task] 🐞 Fix inference when model backbone changes (#1242) * Fix CVS-91469 sseg compatibility issue * [CVS-91472] Add pruning_supported value (#1263) * Pruning supported tweaks (#1256) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * Turned off pruning_support visibility for anomaly models (CVS-91015) * Disabled pruning for EfficientNet-V2-S (CVS-90400) * Revert "[CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)" (#1269) * [OTE-TEST] Disable obsolete test cases (#1220) * [OTE-TEST] hot-fix for MPA performance tests (#1273) * Expose early stopping hyper-parameters for all tasks (#1241) * Resolve pre-commit issues (#1272) * Remove LazyEarlyStopHook in model_multilabel.py (#1281) * Removed xfail (#1239) Signed-off-by: Songki Choi <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Jaeguk Hyun <[email protected]> Co-authored-by: Nikita Savelyev <[email protected]> Co-authored-by: Vladisalv Sovrasov <[email protected]> Co-authored-by: Jihwan Eom <[email protected]> Co-authored-by: Songki Choi <[email protected]> Co-authored-by: Soobee Lee <[email protected]> Co-authored-by: Lee, Soobee <[email protected]> Co-authored-by: Eugene Liu <[email protected]> Co-authored-by: Emily Chun <[email protected]> Co-authored-by: ljcornel <[email protected]> Co-authored-by: Eunwoo Shin <[email protected]>

* Add tiling module (#1200) * Update submodule branch (#1222) * Enhance training schedule for multi-label classification (#1212) * [CVS-88098] Remove initialize from export functions (#1226) * Train graph added (#1211) * Add @attrs decorator for base configs (#1229) * Pretrained weight download error in MobilenetV3-large-1 of deep-object-reid in SC (#1233) * [Anomaly Task] Revert hpo template (#1230) * 🐞 [Anomaly Task] Fix progress bar (#1223) * [CVS-90555] Fix NaN value in classification (#1244) * update hpo_config.yaml (#1240) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * [Anomaly Task] 🐞 Fix inference when model backbone changes (#1242) * [CVS-91472] Add pruning_supported value (#1263) * Pruning supported tweaks (#1256) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * Revert "[CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)" (#1269) * [OTE-TEST] Disable obsolete test cases (#1220) * [OTE-TEST] hot-fix for MPA performance tests (#1273) * [Anomaly Task] ✨ Upgrade anomalib (#1243) * Expose early stopping hyper-parameters for all tasks (#1241) * Resolve pre-commit issues (#1272) * Remove LazyEarlyStopHook in model_multilabel.py (#1281) * Removed xfail (#1239) * Implement IB loss for incremental learning in multi-class classification (#1289) * Edit num_workers and change MPA repo as a latest (#1314) * fix annotation bug (#1320) * Valid POT configs for small HRNet models (#1313) * Disable NNCF optimization for FP16 models (#1312) * fliter object less than 1 pixel (#1305) * Fix some tests (#1322) * [Develop] Move drop_last into MPA (#1357) * Apply changes from releases/v0.3.1-geti1.0.0 (#1337) * anomaly save_model bugfix (#1300) * upgrade networkx module version (#1303) * Forward CVS-94422 size bug fix PR to release branch (#1326) * Valid POT configs for small HRNet models (#1317) * [Release branch] Disable NNCF optimization for FP16 models (#1319) * [RELEASE] CVS-95549 - Hierarchical classification training failed without obvious reason (#1329) * Fix h-label: per-group softmax (#1332) * Fix dataset length bug in mpa task (#1338) * Fix drop_last key issue for det/set (#1340) * Hot-fix for OV inference for iseg output (#1345) * Fix nncf model export bug (#1346) * Fixed merge error (#1359) * Update evaluation iou_thr of ins-seg (#1354) * fix pre-commit test (#1366) * Fix dataset item tests (#1360) * Fix OV Inference issues (tiling tests & detection tests) (#1361) * fix black & add xfail test cases (#1367) * Update check_nncf_graph. (#1330) * [Develop] Hot-fix OV inference issue in rotated detection (#1375) * [Develop] updated documents (#1383) * [CVS-94911] Fix difference between train and validation normalization pipeline (#1310) * Update configs for padim model (#1378) * updated QUICK_START_GUIDE.md (#1397) * Change ote threshold of openvino test for cls (#1401) * Normalize top-1 metrics to [0, 1] (#1394) * Tiling deployment (#1387) * Replace current saliency map generation with Recipro-CAM for cls (#1363) * Class-wise saliency map generation for the detection task (#1402) * Change submodule to develop (#1410) * Send full dataset to POT optimization function (#1379) & Convert NaN to num to make visible in geti UI (#1413) * Add active score evaluation to the classification task * [release/0.4.0][OTX] Enabling GPU execution for exported code (#1416) * [OTE][Release][XAI] Detection fix two stage bbox_head error (#1414) * Update SDK commit for exportable code (#1423) * HRNet-x and HRNe-18--mod2 configs update (#1419) * [Release] Enable tiling oriented detection for v0.4.0/geti1.1.0 (#1427) * [OTE][Releases v0.4.0][XAI] Hot-fix for Detection fix two stage error (#1433) * Temporary MPA branch while dev->otx merge process * Update doc & install for dev->otx changes * Update ote_sdk -> otx.api * Update ote_cli -> otx.cli * Update external/mmsegmentation -> otx/algorithms/segmentation * Align saliency map media instantiation over tasks (#1447) * Update external/d-o-r -> otx/algorithms/classification * Update external/mmdetection -> otx/algorithms/detection * Update external/mpa -> otx/algorithms/* * Fix CLI test run for better error message * Numpy constraint for deprecated np.bool error * Capture stderr only * Align numpy requirement * [OTX/Anomaly] Add changes from external to otx (#1452) * Add changes from external to otx * Address PR comments * Update config files + remove backbone from base * Fix pre-merge checks * Fix pre-commit issues * Update exportable code commit * Fix indent error * Fix flake8 issue * Resolve softmax issue w/ FIXME for future work * Add tiling tests * Revert MPA branch to otx Signed-off-by: Songki Choi <[email protected]> Co-authored-by: Eugene Liu <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Jaeguk Hyun <[email protected]> Co-authored-by: Nikita Savelyev <[email protected]> Co-authored-by: Jihwan Eom <[email protected]> Co-authored-by: Harim Kang <[email protected]> Co-authored-by: Soobee Lee <[email protected]> Co-authored-by: Lee, Soobee <[email protected]> Co-authored-by: Emily Chun <[email protected]> Co-authored-by: ljcornel <[email protected]> Co-authored-by: Eunwoo Shin <[email protected]> Co-authored-by: dlyakhov <[email protected]> Co-authored-by: kprokofi <[email protected]> Co-authored-by: Sungman Cho <[email protected]> Co-authored-by: Yunchu Lee <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Alexander Dokuchaev <[email protected]> Co-authored-by: Vladislav Sovrasov <[email protected]> Co-authored-by: Evgeny Tsykunov <[email protected]> Co-authored-by: Galina Zalesskaya <[email protected]> Co-authored-by: dongkwan-kim <[email protected]>

* make logfile saved in save-model-to directory * enable train * make main process train also * bugfix * refactor multi gpu training * make all processs have same output path * prevent child process from being termated by fokred main process * refactor multigpu implementation * refactor multi gpu implementation * modify argument help sentence * add multi gpu test code * align with pre-commit test * separate multi GPU manager class * modify train cli argument 'save-logs-to' to 'output-path' * remove tray excpet during killing child process * apply output_path to all tasks * change print to logger * skip multi gpu test if number of gpu is insufficient * fix typo * multi gpu test bugfix * isort fix * test case bugfix * fix typo and change some variable name * [OTX] Apply changes in develop to feature/otx branch (#1436) * Add tiling module (#1200) * Update submodule branch (#1222) * Enhance training schedule for multi-label classification (#1212) * [CVS-88098] Remove initialize from export functions (#1226) * Train graph added (#1211) * Add @attrs decorator for base configs (#1229) * Pretrained weight download error in MobilenetV3-large-1 of deep-object-reid in SC (#1233) * [Anomaly Task] Revert hpo template (#1230) * 🐞 [Anomaly Task] Fix progress bar (#1223) * [CVS-90555] Fix NaN value in classification (#1244) * update hpo_config.yaml (#1240) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * [Anomaly Task] 🐞 Fix inference when model backbone changes (#1242) * [CVS-91472] Add pruning_supported value (#1263) * Pruning supported tweaks (#1256) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * Revert "[CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)" (#1269) * [OTE-TEST] Disable obsolete test cases (#1220) * [OTE-TEST] hot-fix for MPA performance tests (#1273) * [Anomaly Task] ✨ Upgrade anomalib (#1243) * Expose early stopping hyper-parameters for all tasks (#1241) * Resolve pre-commit issues (#1272) * Remove LazyEarlyStopHook in model_multilabel.py (#1281) * Removed xfail (#1239) * Implement IB loss for incremental learning in multi-class classification (#1289) * Edit num_workers and change MPA repo as a latest (#1314) * fix annotation bug (#1320) * Valid POT configs for small HRNet models (#1313) * Disable NNCF optimization for FP16 models (#1312) * fliter object less than 1 pixel (#1305) * Fix some tests (#1322) * [Develop] Move drop_last into MPA (#1357) * Apply changes from releases/v0.3.1-geti1.0.0 (#1337) * anomaly save_model bugfix (#1300) * upgrade networkx module version (#1303) * Forward CVS-94422 size bug fix PR to release branch (#1326) * Valid POT configs for small HRNet models (#1317) * [Release branch] Disable NNCF optimization for FP16 models (#1319) * [RELEASE] CVS-95549 - Hierarchical classification training failed without obvious reason (#1329) * Fix h-label: per-group softmax (#1332) * Fix dataset length bug in mpa task (#1338) * Fix drop_last key issue for det/set (#1340) * Hot-fix for OV inference for iseg output (#1345) * Fix nncf model export bug (#1346) * Fixed merge error (#1359) * Update evaluation iou_thr of ins-seg (#1354) * fix pre-commit test (#1366) * Fix dataset item tests (#1360) * Fix OV Inference issues (tiling tests & detection tests) (#1361) * fix black & add xfail test cases (#1367) * Update check_nncf_graph. (#1330) * [Develop] Hot-fix OV inference issue in rotated detection (#1375) * [Develop] updated documents (#1383) * [CVS-94911] Fix difference between train and validation normalization pipeline (#1310) * Update configs for padim model (#1378) * updated QUICK_START_GUIDE.md (#1397) * Change ote threshold of openvino test for cls (#1401) * Normalize top-1 metrics to [0, 1] (#1394) * Tiling deployment (#1387) * Replace current saliency map generation with Recipro-CAM for cls (#1363) * Class-wise saliency map generation for the detection task (#1402) * Change submodule to develop (#1410) * Send full dataset to POT optimization function (#1379) & Convert NaN to num to make visible in geti UI (#1413) * Add active score evaluation to the classification task * [release/0.4.0][OTX] Enabling GPU execution for exported code (#1416) * [OTE][Release][XAI] Detection fix two stage bbox_head error (#1414) * Update SDK commit for exportable code (#1423) * HRNet-x and HRNe-18--mod2 configs update (#1419) * [Release] Enable tiling oriented detection for v0.4.0/geti1.1.0 (#1427) * [OTE][Releases v0.4.0][XAI] Hot-fix for Detection fix two stage error (#1433) * Temporary MPA branch while dev->otx merge process * Update doc & install for dev->otx changes * Update ote_sdk -> otx.api * Update ote_cli -> otx.cli * Update external/mmsegmentation -> otx/algorithms/segmentation * Align saliency map media instantiation over tasks (#1447) * Update external/d-o-r -> otx/algorithms/classification * Update external/mmdetection -> otx/algorithms/detection * Update external/mpa -> otx/algorithms/* * Fix CLI test run for better error message * Numpy constraint for deprecated np.bool error * Capture stderr only * Align numpy requirement * [OTX/Anomaly] Add changes from external to otx (#1452) * Add changes from external to otx * Address PR comments * Update config files + remove backbone from base * Fix pre-merge checks * Fix pre-commit issues * Update exportable code commit * Fix indent error * Fix flake8 issue * Resolve softmax issue w/ FIXME for future work * Add tiling tests * Revert MPA branch to otx Signed-off-by: Songki Choi <[email protected]> Co-authored-by: Eugene Liu <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Jaeguk Hyun <[email protected]> Co-authored-by: Nikita Savelyev <[email protected]> Co-authored-by: Jihwan Eom <[email protected]> Co-authored-by: Harim Kang <[email protected]> Co-authored-by: Soobee Lee <[email protected]> Co-authored-by: Lee, Soobee <[email protected]> Co-authored-by: Emily Chun <[email protected]> Co-authored-by: ljcornel <[email protected]> Co-authored-by: Eunwoo Shin <[email protected]> Co-authored-by: dlyakhov <[email protected]> Co-authored-by: kprokofi <[email protected]> Co-authored-by: Sungman Cho <[email protected]> Co-authored-by: Yunchu Lee <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Alexander Dokuchaev <[email protected]> Co-authored-by: Vladislav Sovrasov <[email protected]> Co-authored-by: Evgeny Tsykunov <[email protected]> Co-authored-by: Galina Zalesskaya <[email protected]> Co-authored-by: dongkwan-kim <[email protected]> * Apply latest MPA openvinotoolkit/model_preparation_algorithm#105 Signed-off-by: Songki Choi <[email protected]> Signed-off-by: Songki Choi <[email protected]> Co-authored-by: eunwoosh <[email protected]> Co-authored-by: Eugene Liu <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Jaeguk Hyun <[email protected]> Co-authored-by: Nikita Savelyev <[email protected]> Co-authored-by: Jihwan Eom <[email protected]> Co-authored-by: Harim Kang <[email protected]> Co-authored-by: Soobee Lee <[email protected]> Co-authored-by: Lee, Soobee <[email protected]> Co-authored-by: Emily Chun <[email protected]> Co-authored-by: ljcornel <[email protected]> Co-authored-by: dlyakhov <[email protected]> Co-authored-by: kprokofi <[email protected]> Co-authored-by: Sungman Cho <[email protected]> Co-authored-by: Yunchu Lee <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Alexander Dokuchaev <[email protected]> Co-authored-by: Vladislav Sovrasov <[email protected]> Co-authored-by: Evgeny Tsykunov <[email protected]> Co-authored-by: Galina Zalesskaya <[email protected]> Co-authored-by: dongkwan-kim <[email protected]>

* Initial commit: integrate MPA intothe OTX * Update Self-SL for seg * Enable pre-commit tests by ignoring imports, remove useless requirements * Edit the requirements * Add dist folder * fix black * [OTX] Rebase latest changes for MPA merge (#1468) * make logfile saved in save-model-to directory * enable train * make main process train also * bugfix * refactor multi gpu training * make all processs have same output path * prevent child process from being termated by fokred main process * refactor multigpu implementation * refactor multi gpu implementation * modify argument help sentence * add multi gpu test code * align with pre-commit test * separate multi GPU manager class * modify train cli argument 'save-logs-to' to 'output-path' * remove tray excpet during killing child process * apply output_path to all tasks * change print to logger * skip multi gpu test if number of gpu is insufficient * fix typo * multi gpu test bugfix * isort fix * test case bugfix * fix typo and change some variable name * [OTX] Apply changes in develop to feature/otx branch (#1436) * Add tiling module (#1200) * Update submodule branch (#1222) * Enhance training schedule for multi-label classification (#1212) * [CVS-88098] Remove initialize from export functions (#1226) * Train graph added (#1211) * Add @attrs decorator for base configs (#1229) * Pretrained weight download error in MobilenetV3-large-1 of deep-object-reid in SC (#1233) * [Anomaly Task] Revert hpo template (#1230) * 🐞 [Anomaly Task] Fix progress bar (#1223) * [CVS-90555] Fix NaN value in classification (#1244) * update hpo_config.yaml (#1240) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * [Anomaly Task] 🐞 Fix inference when model backbone changes (#1242) * [CVS-91472] Add pruning_supported value (#1263) * Pruning supported tweaks (#1256) * [CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248) * Revert "[CVS-90400, CVS-91015] NNCF pruning supported tweaks (#1248)" (#1269) * [OTE-TEST] Disable obsolete test cases (#1220) * [OTE-TEST] hot-fix for MPA performance tests (#1273) * [Anomaly Task] ✨ Upgrade anomalib (#1243) * Expose early stopping hyper-parameters for all tasks (#1241) * Resolve pre-commit issues (#1272) * Remove LazyEarlyStopHook in model_multilabel.py (#1281) * Removed xfail (#1239) * Implement IB loss for incremental learning in multi-class classification (#1289) * Edit num_workers and change MPA repo as a latest (#1314) * fix annotation bug (#1320) * Valid POT configs for small HRNet models (#1313) * Disable NNCF optimization for FP16 models (#1312) * fliter object less than 1 pixel (#1305) * Fix some tests (#1322) * [Develop] Move drop_last into MPA (#1357) * Apply changes from releases/v0.3.1-geti1.0.0 (#1337) * anomaly save_model bugfix (#1300) * upgrade networkx module version (#1303) * Forward CVS-94422 size bug fix PR to release branch (#1326) * Valid POT configs for small HRNet models (#1317) * [Release branch] Disable NNCF optimization for FP16 models (#1319) * [RELEASE] CVS-95549 - Hierarchical classification training failed without obvious reason (#1329) * Fix h-label: per-group softmax (#1332) * Fix dataset length bug in mpa task (#1338) * Fix drop_last key issue for det/set (#1340) * Hot-fix for OV inference for iseg output (#1345) * Fix nncf model export bug (#1346) * Fixed merge error (#1359) * Update evaluation iou_thr of ins-seg (#1354) * fix pre-commit test (#1366) * Fix dataset item tests (#1360) * Fix OV Inference issues (tiling tests & detection tests) (#1361) * fix black & add xfail test cases (#1367) * Update check_nncf_graph. (#1330) * [Develop] Hot-fix OV inference issue in rotated detection (#1375) * [Develop] updated documents (#1383) * [CVS-94911] Fix difference between train and validation normalization pipeline (#1310) * Update configs for padim model (#1378) * updated QUICK_START_GUIDE.md (#1397) * Change ote threshold of openvino test for cls (#1401) * Normalize top-1 metrics to [0, 1] (#1394) * Tiling deployment (#1387) * Replace current saliency map generation with Recipro-CAM for cls (#1363) * Class-wise saliency map generation for the detection task (#1402) * Change submodule to develop (#1410) * Send full dataset to POT optimization function (#1379) & Convert NaN to num to make visible in geti UI (#1413) * Add active score evaluation to the classification task * [release/0.4.0][OTX] Enabling GPU execution for exported code (#1416) * [OTE][Release][XAI] Detection fix two stage bbox_head error (#1414) * Update SDK commit for exportable code (#1423) * HRNet-x and HRNe-18--mod2 configs update (#1419) * [Release] Enable tiling oriented detection for v0.4.0/geti1.1.0 (#1427) * [OTE][Releases v0.4.0][XAI] Hot-fix for Detection fix two stage error (#1433) * Temporary MPA branch while dev->otx merge process * Update doc & install for dev->otx changes * Update ote_sdk -> otx.api * Update ote_cli -> otx.cli * Update external/mmsegmentation -> otx/algorithms/segmentation * Align saliency map media instantiation over tasks (#1447) * Update external/d-o-r -> otx/algorithms/classification * Update external/mmdetection -> otx/algorithms/detection * Update external/mpa -> otx/algorithms/* * Fix CLI test run for better error message * Numpy constraint for deprecated np.bool error * Capture stderr only * Align numpy requirement * [OTX/Anomaly] Add changes from external to otx (#1452) * Add changes from external to otx * Address PR comments * Update config files + remove backbone from base * Fix pre-merge checks * Fix pre-commit issues * Update exportable code commit * Fix indent error * Fix flake8 issue * Resolve softmax issue w/ FIXME for future work * Add tiling tests * Revert MPA branch to otx Signed-off-by: Songki Choi <[email protected]> Co-authored-by: Eugene Liu <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Jaeguk Hyun <[email protected]> Co-authored-by: Nikita Savelyev <[email protected]> Co-authored-by: Jihwan Eom <[email protected]> Co-authored-by: Harim Kang <[email protected]> Co-authored-by: Soobee Lee <[email protected]> Co-authored-by: Lee, Soobee <[email protected]> Co-authored-by: Emily Chun <[email protected]> Co-authored-by: ljcornel <[email protected]> Co-authored-by: Eunwoo Shin <[email protected]> Co-authored-by: dlyakhov <[email protected]> Co-authored-by: kprokofi <[email protected]> Co-authored-by: Sungman Cho <[email protected]> Co-authored-by: Yunchu Lee <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Alexander Dokuchaev <[email protected]> Co-authored-by: Vladislav Sovrasov <[email protected]> Co-authored-by: Evgeny Tsykunov <[email protected]> Co-authored-by: Galina Zalesskaya <[email protected]> Co-authored-by: dongkwan-kim <[email protected]> * Apply latest MPA openvinotoolkit/model_preparation_algorithm#105 Signed-off-by: Songki Choi <[email protected]> Signed-off-by: Songki Choi <[email protected]> Co-authored-by: eunwoosh <[email protected]> Co-authored-by: Eugene Liu <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Jaeguk Hyun <[email protected]> Co-authored-by: Nikita Savelyev <[email protected]> Co-authored-by: Jihwan Eom <[email protected]> Co-authored-by: Harim Kang <[email protected]> Co-authored-by: Soobee Lee <[email protected]> Co-authored-by: Lee, Soobee <[email protected]> Co-authored-by: Emily Chun <[email protected]> Co-authored-by: ljcornel <[email protected]> Co-authored-by: dlyakhov <[email protected]> Co-authored-by: kprokofi <[email protected]> Co-authored-by: Sungman Cho <[email protected]> Co-authored-by: Yunchu Lee <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Alexander Dokuchaev <[email protected]> Co-authored-by: Vladislav Sovrasov <[email protected]> Co-authored-by: Evgeny Tsykunov <[email protected]> Co-authored-by: Galina Zalesskaya <[email protected]> Co-authored-by: dongkwan-kim <[email protected]> * Resolve some flake8 issues * Fix semisl trainer import (#1471) Co-authored-by: Lee, Soobee <[email protected]> * Fixisort * Rebase and fix isort Signed-off-by: Songki Choi <[email protected]> Co-authored-by: Songki Choi <[email protected]> Co-authored-by: eunwoosh <[email protected]> Co-authored-by: Eugene Liu <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Jaeguk Hyun <[email protected]> Co-authored-by: Nikita Savelyev <[email protected]> Co-authored-by: Jihwan Eom <[email protected]> Co-authored-by: Harim Kang <[email protected]> Co-authored-by: Soobee Lee <[email protected]> Co-authored-by: Lee, Soobee <[email protected]> Co-authored-by: Emily Chun <[email protected]> Co-authored-by: ljcornel <[email protected]> Co-authored-by: dlyakhov <[email protected]> Co-authored-by: kprokofi <[email protected]> Co-authored-by: Yunchu Lee <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Alexander Dokuchaev <[email protected]> Co-authored-by: Vladislav Sovrasov <[email protected]> Co-authored-by: Evgeny Tsykunov <[email protected]> Co-authored-by: Galina Zalesskaya <[email protected]> Co-authored-by: dongkwan-kim <[email protected]>

Move configuration.yaml and associated files to tempates folder.

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ashwinvaidya17 requested a review from samet-akcay August 26, 2022 07:58

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github-actions bot added the ALGO Any changes in OTX Algo Tasks implementation label Aug 26, 2022

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ashwinvaidya17 reopened this Aug 26, 2022

Revert to old configuration format + fix save model issue

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ashwinvaidya17 added 2 commits August 30, 2022 09:24

Update nncf compression_config.json path

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Disable editable in pruning_supported

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ashwinvaidya17 added 3 commits August 31, 2022 13:48

Merge branch 'releases/v0.3.0-sc1.2' into ashwin/revert_hpo_template

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Remove copy

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Move algorithm/configuration.py to base

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yunchu mentioned this pull request Sep 1, 2022

🐞 [Anomaly Task] Fix progress bar #1223

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samet-akcay merged commit daf75ac into releases/v0.3.0-sc1.2 Sep 1, 2022

samet-akcay deleted the ashwin/revert_hpo_template branch September 1, 2022 08:14

ashwinvaidya17 mentioned this pull request Feb 14, 2023

[FEATURE][Anomaly] Add region-based anomaly detection model #1684

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[Anomaly Task] Revert hpo template #1230

[Anomaly Task] Revert hpo template #1230

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[Anomaly Task] Revert hpo template #1230

[Anomaly Task] Revert hpo template #1230

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Description

Linting

Tests

Merge along with

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