🐞 [Anomaly Task] Fix progress bar #1223

ashwinvaidya17 · 2022-08-24T13:16:42Z

Description

Potentially addresses the issue with progress bar

Tests

ashwinvaidya17 · 2022-08-24T13:21:57Z

run ote-test

external/anomaly/adapters/anomalib/callbacks/score_report.py

…orted

ashwinvaidya17 · 2022-08-30T07:27:11Z

run ote-test

djdameln

The changes look fine, but I don't understand how this would address the issue with the progress bar. Maybe I'm missing something, but I don't see any changes related to the actual calculation or reporting of the progress.

samet-akcay · 2022-08-31T11:38:04Z

@goodsong81 will you be able to have a look at this?

goodsong81

LGTM to me. But @yunchu could you confirm?

yunchu · 2022-09-01T01:33:56Z

AFAIK, due to the template location change, HPO will not be working properly with anomaly task at this point. so I expected that this PR (#1230) will enable HPO for the anomaly but it's still open.
@ashwinvaidya17, can you let me know how did you check that? on the BMM you've attached, HPO is not working correctly.
if this PR is for the only progress bar updating for the normal training, please ignore this comment.

samet-akcay · 2022-09-01T04:40:07Z

AFAIK, due to the template location change, HPO will not be working properly with anomaly task at this point. so I expected that this PR (#1230) will enable HPO for the anomaly but it's still open. @ashwinvaidya17, can you let me know how did you check that? on the BMM you've attached, HPO is not working correctly. if this PR is for the only progress bar updating for the normal training, please ignore this comment.

@yunchu PR 1230 addresses the HPO issue. You could check that one to see if HPO works fine

ashwinvaidya17 · 2022-09-01T07:03:19Z

@yunchu This only fixes one bug in progress reporting. As Samet said, PR #1230 fixes the HPO issue

yunchu · 2022-09-01T07:23:51Z

@samet-akcay, @ashwinvaidya17 okay, I got it. thanks for the comments.

samet-akcay · 2022-09-01T08:05:49Z

@yunchu, I see that you are the reviewer of this PR. Are you happy with the changes? If yes, I'll be merging this one.

yunchu · 2022-09-02T00:24:09Z

@samet-akcay sorry about that. I have thought that have approved from two reviewers are enough for moving forward.

samet-akcay · 2022-09-02T04:42:46Z

@samet-akcay sorry about that. I have thought that have approved from two reviewers are enough for moving forward.

It's alright. Thanks for the effort!

* Address progress issue for HPO callback * Merge hpo and progress callback as only one progress callback is supported

…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 <soobeele@intel.com> * Add @attrs decorator for base configs (#1229) Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> * 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 <songki.choi@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Vladisalv Sovrasov <sovrasov.vlad@gmail.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Songki Choi <songki.choi@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com>

* 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 <songki.choi@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com>

* 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 <songki.choi@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com> * Apply latest MPA openvinotoolkit/model_preparation_algorithm#105 Signed-off-by: Songki Choi <songki.choi@intel.com> Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: eunwoosh <eunwoo.shin@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com>

* 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 <songki.choi@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com> * Apply latest MPA openvinotoolkit/model_preparation_algorithm#105 Signed-off-by: Songki Choi <songki.choi@intel.com> Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: eunwoosh <eunwoo.shin@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com> * Resolve some flake8 issues * Fix semisl trainer import (#1471) Co-authored-by: Lee, Soobee <soobeele@intel.com> * Fixisort * Rebase and fix isort Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: Songki Choi <songki.choi@intel.com> Co-authored-by: eunwoosh <eunwoo.shin@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Ashwin Vaidya <ashwin.vaidya@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Nikita Savelyev <nikita.savelyev@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Harim Kang <harim.kang@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Emily Chun <emily.chun@intel.com> Co-authored-by: ljcornel <ludo.cornelissen@intel.com> Co-authored-by: dlyakhov <daniil.lyakhov@intel.com> Co-authored-by: kprokofi <kirill.prokofiev@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Ashwin Vaidya <ashwinitinvaidya@gmail.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com>

Address progress issue for HPO callback

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ashwinvaidya17 requested a review from samet-akcay August 24, 2022 13:16

ashwinvaidya17 requested a review from a team as a code owner August 24, 2022 13:16

github-actions bot added the ALGO Any changes in OTX Algo Tasks implementation label Aug 24, 2022

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external/anomaly/adapters/anomalib/callbacks/score_report.py Outdated Show resolved Hide resolved

ashwinvaidya17 added 2 commits August 26, 2022 13:15

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

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

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ashwinvaidya17 requested a review from djdameln August 29, 2022 09:04

Merge hpo and progress callback as only one progress callback is supp…

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samet-akcay approved these changes Aug 31, 2022

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samet-akcay requested a review from goodsong81 August 31, 2022 11:36

goodsong81 requested a review from yunchu September 1, 2022 01:05

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yunchu approved these changes Sep 2, 2022

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samet-akcay merged commit b57a3a5 into releases/v0.3.0-sc1.2 Sep 2, 2022

samet-akcay deleted the fix/ashwin/progress_bar branch September 2, 2022 04:42

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🐞 [Anomaly Task] Fix progress bar #1223

🐞 [Anomaly Task] Fix progress bar #1223

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🐞 [Anomaly Task] Fix progress bar #1223

🐞 [Anomaly Task] Fix progress bar #1223

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