[OTE][Releases] Align saliency map media creation over tasks #1447
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run ote-test |
goodsong81
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Dec 16, 2022
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http://validationreports.sclab.intel.com:8006/reports/build_number_report?test_session_build_number=pr-ote-test-844&environment=iotg-dev-workstation-08 |
Sure, I will fix it. Thank you! |
goodsong81
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Dec 20, 2022
* Change submodule to develop (#1410) * Send full dataset to POT optimization function (#1379) & Convert NaN to num to make visible in geti UI (#1413) Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> * Add active score evaluation to the classification task Add probs vector metadata Add probs vector metadata to openvino classificaiton task Add classification type logging Fix code checks Fix black in det config * [release/0.4.0][OTX] Enabling GPU execution for exported code (#1416) * add device parameter to enable exportable demo inference on GPU * add indent and remove duplications * [OTE][Release][XAI] Detection fix two stage bbox_head error (#1414) * fix two stage bbox_head error * two-path for saliency map exporting * fix pylint * two-stage detector exception for simple test * fix assertion err in the detection saliency map * update tiler: handle memory and saliency map dimension issues * revert to original assertion * commit head change to develop * submodule head develop * submodule heading to releases/OTE_0.4.0 * fix code checker * add import with flake8 exception Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> * 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) * add rotated bb det * update OTE SDK Model Container * update OTE SDK commit * code check update * Fix if statement * change commit number Co-authored-by: Kang, Harim <harim.kang@intel.com> * [OTE][Releases v0.4.0][XAI] Hot-fix for Detection fix two stage error (#1433) * Handle two stage detector in the inferrer.py * third party programs update * Update changelog * Align saliency map media instantiation over tasks (#1447) * change submodule * [releases/v0.4.0-geti1.1.0] Update changelog for rc3 (#1450) * Update changelog * Update changelog for rc3 * Update MPA commit Signed-off-by: Songki Choi <songki.choi@intel.com> Signed-off-by: Songki Choi <songki.choi@intel.com> Co-authored-by: Soobee Lee <soobee.lee@intel.com> Co-authored-by: Alexander Dokuchaev <alexander.dokuchaev@intel.com> Co-authored-by: Lee, Soobee <soobeele@intel.com> Co-authored-by: Vladislav Sovrasov <vladislav.sovrasov@intel.com> Co-authored-by: Prokofiev Kirill <kirill.prokofiev@intel.com> Co-authored-by: Galina Zalesskaya <galina.zalesskaya@intel.com> Co-authored-by: dongkwan-kim <dongkwan.kim@intel.com> Co-authored-by: Evgeny Tsykunov <e.tsykunov@gmail.com> Co-authored-by: Daniil Lyakhov <daniil.lyakhov@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: Kang, Harim <harim.kang@intel.com> Co-authored-by: Emily <emily.chun@intel.com>
goodsong81
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Dec 28, 2022
* 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>
sungmanc
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Dec 28, 2022
* 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>
sungmanc
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Dec 29, 2022
* 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>
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Dec 30, 2022
* 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>
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Not sure if it is still possible to merge it to be used by Geti1.1, but this PR would make the life of the Geti UI team much easier.
Changes are approved by the Geti UI team.
Update relates to the
ResultMediaEntityinstance creation.Single saliency map per image case
nameattributelabel. It makes no sense to use label because saliency map created per image, not per label or per classMultiple saliency maps per image case
label.nameasnameLabelEntityinstance aslabelThe same logic aligned among cls, det, anomaly, seg.