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Fix for ssd #2197
Fix for ssd #2197
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Signed-off-by: Songki Choi <songki.choi@intel.com>
…notoolkit#2199) * auto adapt consider cls incremental case * align with pre-commit * update changelog
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Impressive!
BTW, how about changing the target of this PR to 1.3.1? @jaegukhyun , @goodsong81 . This is Huge improvements so introducing to external release is a good option for us |
I'm OK for 1.3.1, but it's up to @jaegukhyun as the experiments were based on the develop branch, right? |
@goodsong81 @sungmanc I changed base to 1.3.1 |
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* Fix e2e (#2179) * Fix iseg e2e (#2173) * Fix det e2e (#2176) * Update noisy label det docs for detection task (#2183) * Fix iseg e2e (#2173) * Fix det e2e (#2176) * Add supcon seg for regression (#2177) * Fix iseg e2e (#2173) * Fix det e2e (#2176) * Update regression test config (#2186) * Fix for anomaly regression test (#2188) * Fix iseg regression (#2190) * Set path to save pseudo masks into workspace (#2185) * Temporary fix override_configs bug (#2187) * Fix iseg e2e (#2173) * Fix det e2e (#2176) * Cleaned up skip/xfail TCs on the classification e2e tests (#2196) * Added csv output to export dependencies (#2178) * Fix typo and enlarge the threshold for KPI tests (#2198) * bugfix: auto adapt batch size doesn't work with cls incr case (#2199) * Fix for ssd (#2197) * Turn off persistent worker if num_worker is zero in classification task (#2208) * Update test cases of common_semantic_segmentation_dataset (#2210) * Optimize counting train & inference speed and memory consumption (#2172) * Do not skip full img tile classifier + Fix Sequencial Export Issue (#2174) * Add warning message to tiling parameter (#2193) * Change the way to pad for instance-segmentation * Hotfix: use 0 confidence threshold when computing best threshold based on F1 * Fix possible bw issue in exportable code (#2212) * Fix ellipse load (#2214) * Fix GT vs prediction order mismatch due to different sorting result (#2216) * Return raw anomaly maps as metadata (#2217) * Fix merge error, revert to pymongo w/o version spec --------- Signed-off-by: Songki Choi <songki.choi@intel.com> Signed-off-by: Kim, Vinnam <vinnam.kim@intel.com> Co-authored-by: Jaeguk Hyun <jaeguk.hyun@intel.com> Co-authored-by: Vinnam Kim <vinnam.kim@intel.com> Co-authored-by: Sungman Cho <sungman.cho@intel.com> Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com> Co-authored-by: Kim, Sungchul <sungchul.kim@intel.com> Co-authored-by: Yunchu Lee <yunchu.lee@intel.com> Co-authored-by: Jihwan Eom <jihwan.eom@intel.com> Co-authored-by: Eugene Liu <eugene.liu@intel.com> Co-authored-by: sungmanc <sungmanc@intel.com> Co-authored-by: Vladislav Sovrasov <sovrasov.vlad@gmail.com> Co-authored-by: Dick Ameln <dick.ameln@intel.com>
Summary
This PR is for recovering SSD performance in various datasets.
This PR recovered anchor clustering algorithm and reverted model's loss from FocalLoss to CrossEntropyLoss.
General experiments summary is below
How to test
Checklist
License
Feel free to contact the maintainers if that's a concern.