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[Feature] Add optional score threshold option to coco_error_analysis.py #11117
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hhaAndroid
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open-mmlab:dev-3.x
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guyleaf:guyleaf/enchance-coco-error-analysis
Nov 7, 2023
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[Feature] Add optional score threshold option to coco_error_analysis.py #11117
hhaAndroid
merged 3 commits into
open-mmlab:dev-3.x
from
guyleaf:guyleaf/enchance-coco-error-analysis
Nov 7, 2023
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@guyleaf Please fix the lint |
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Done. |
hhaAndroid
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yumion
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yumion
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ChuaHanChong
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* Fix docstring for dimension of targets argument (open-mmlab#11058) * Fix Grounding DINO nan when class tokens exceeds 256 (open-mmlab#11066) * Fix broken links in README.md (open-mmlab#11060) * Fixed the issue where the directory level of the youtubevis2coco… (open-mmlab#11086) * Fixed the issue where type and by_epoch in loop_cfg exist simult… (open-mmlab#11085) * Support ODinW and evaluate (open-mmlab#11105) * [MMSIG#357] Add new configs for panoptic_fpn (open-mmlab#11109) * [Feature] Add optional score threshold option to coco_error_analysis.py (open-mmlab#11117) * Support LVIS chunked evaluation and image chunked inference of GLIP (open-mmlab#11136) * Replace partially weighted download links with OpenXLab for the Faster-RCNN (open-mmlab#11173) * add odinw configs and evaluation results of GLIP(open-mmlab#11175) * Add GroundingDINO on ODinW results, and support caption prompt of GroundingDINO (open-mmlab#11187) * MMGroundingDINO-A replicable and more comprehensive GroundingDINO (open-mmlab#11295) Co-authored-by: Cycyes <92714336+Cycyes@users.noreply.github.com> * finetune MM-GDINO on ov_coco and ov_lvis (open-mmlab#11304) * [Feature] Add RTMDet Swin / ConvNeXt (open-mmlab#11259) * Fix bug in `convert_coco_format` (open-mmlab#11251) * Fix CO-DETR load_from url in config (open-mmlab#11220) * Update README and refine of MM-GDINO (open-mmlab#11298) * Fixed mask shape after Albu postprocess (open-mmlab#11280) * update English version of md (open-mmlab#11336) * Fix one of the CO-DETR config files (open-mmlab#11325) * replace '.jpg' instead of 'jpg' to guarantee replacing file ending (open-mmlab#11340) * Bump version to 3.3.0 (open-mmlab#11338) * [Bug Fix] video_demo bug fixed for issue#11353 (open-mmlab#11451) * use `lerp` in ema (open-mmlab#11442) * fix:grounding_pretrain_text_trans_negative_label (open-mmlab#11404) * Release MM-GroundingDINO SwinB and SwinL Weights (open-mmlab#11458) --------- Co-authored-by: Mathias Réus <93187038+AwePhD@users.noreply.github.com> Co-authored-by: Jinhyung Park <jinhyun1@andrew.cmu.edu> Co-authored-by: Aaron Sun <aaronzs@users.noreply.github.com> Co-authored-by: LRJKD <101466907+LRJKD@users.noreply.github.com> Co-authored-by: Haian Huang(深度眸) <1286304229@qq.com> Co-authored-by: Lei Lei <18294546+Crescent-Saturn@users.noreply.github.com> Co-authored-by: Leaf Ying <43506966+guyleaf@users.noreply.github.com> Co-authored-by: key <30455795+keyhsw@users.noreply.github.com> Co-authored-by: Cycyes <92714336+Cycyes@users.noreply.github.com> Co-authored-by: Shilin Xu <xsl.cmd@gmail.com> Co-authored-by: takuoko <to78314910@gmail.com> Co-authored-by: Jaewoo Choi <130287161+honeybadger78@users.noreply.github.com> Co-authored-by: Lintch <44701395+returnL@users.noreply.github.com> Co-authored-by: ilcopione <109541948+ilcopione@users.noreply.github.com> Co-authored-by: Adnan Mujagic <adnanmujagic@outlook.com> Co-authored-by: R-Fehler <36566250+R-Fehler@users.noreply.github.com> Co-authored-by: Jun0922 <89365607+Jun0922@users.noreply.github.com> Co-authored-by: RangiLyu <lyuchqi@gmail.com> Co-authored-by: Chen Qibo <69334887+Baboom-l@users.noreply.github.com>
ChuaHanChong
added a commit
to Porolis-Technologies/AI_mmdetection
that referenced
this pull request
Nov 15, 2024
* Fix docstring for dimension of targets argument (open-mmlab#11058) * Fix Grounding DINO nan when class tokens exceeds 256 (open-mmlab#11066) * Fix broken links in README.md (open-mmlab#11060) * Fixed the issue where the directory level of the youtubevis2coco… (open-mmlab#11086) * Fixed the issue where type and by_epoch in loop_cfg exist simult… (open-mmlab#11085) * Support ODinW and evaluate (open-mmlab#11105) * [MMSIG#357] Add new configs for panoptic_fpn (open-mmlab#11109) * [Feature] Add optional score threshold option to coco_error_analysis.py (open-mmlab#11117) * Support LVIS chunked evaluation and image chunked inference of GLIP (open-mmlab#11136) * Replace partially weighted download links with OpenXLab for the Faster-RCNN (open-mmlab#11173) * add odinw configs and evaluation results of GLIP(open-mmlab#11175) * Add GroundingDINO on ODinW results, and support caption prompt of GroundingDINO (open-mmlab#11187) * MMGroundingDINO-A replicable and more comprehensive GroundingDINO (open-mmlab#11295) Co-authored-by: Cycyes <92714336+Cycyes@users.noreply.github.com> * finetune MM-GDINO on ov_coco and ov_lvis (open-mmlab#11304) * [Feature] Add RTMDet Swin / ConvNeXt (open-mmlab#11259) * Fix bug in `convert_coco_format` (open-mmlab#11251) * Fix CO-DETR load_from url in config (open-mmlab#11220) * Update README and refine of MM-GDINO (open-mmlab#11298) * Fixed mask shape after Albu postprocess (open-mmlab#11280) * update English version of md (open-mmlab#11336) * Fix one of the CO-DETR config files (open-mmlab#11325) * replace '.jpg' instead of 'jpg' to guarantee replacing file ending (open-mmlab#11340) * Bump version to 3.3.0 (open-mmlab#11338) * [Bug Fix] video_demo bug fixed for issue#11353 (open-mmlab#11451) * use `lerp` in ema (open-mmlab#11442) * fix:grounding_pretrain_text_trans_negative_label (open-mmlab#11404) * Release MM-GroundingDINO SwinB and SwinL Weights (open-mmlab#11458) --------- Co-authored-by: Mathias Réus <93187038+AwePhD@users.noreply.github.com> Co-authored-by: Jinhyung Park <jinhyun1@andrew.cmu.edu> Co-authored-by: Aaron Sun <aaronzs@users.noreply.github.com> Co-authored-by: LRJKD <101466907+LRJKD@users.noreply.github.com> Co-authored-by: Haian Huang(深度眸) <1286304229@qq.com> Co-authored-by: Lei Lei <18294546+Crescent-Saturn@users.noreply.github.com> Co-authored-by: Leaf Ying <43506966+guyleaf@users.noreply.github.com> Co-authored-by: key <30455795+keyhsw@users.noreply.github.com> Co-authored-by: Cycyes <92714336+Cycyes@users.noreply.github.com> Co-authored-by: Shilin Xu <xsl.cmd@gmail.com> Co-authored-by: takuoko <to78314910@gmail.com> Co-authored-by: Jaewoo Choi <130287161+honeybadger78@users.noreply.github.com> Co-authored-by: Lintch <44701395+returnL@users.noreply.github.com> Co-authored-by: ilcopione <109541948+ilcopione@users.noreply.github.com> Co-authored-by: Adnan Mujagic <adnanmujagic@outlook.com> Co-authored-by: R-Fehler <36566250+R-Fehler@users.noreply.github.com> Co-authored-by: Jun0922 <89365607+Jun0922@users.noreply.github.com> Co-authored-by: RangiLyu <lyuchqi@gmail.com> Co-authored-by: Chen Qibo <69334887+Baboom-l@users.noreply.github.com>
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Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.
Motivation
In some models, e.g., DETR, it does not support filtering score after prediction.
By adding score threshold option, we could filter the detection bboxes in flexible way.
It is also a common case to visualize the actual performance in dataset.
For example, positive bbox with low confident score will affect the AP and AR going higher.
Modification
BC-breaking (Optional)
Does the modification introduce changes that break the backward-compatibility of the downstream repos?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.
Use cases (Optional)
If this PR introduces a new feature, it is better to list some use cases here, and update the documentation.
Checklist