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use lerp in ema #11442

Merged
merged 1 commit into from
Feb 1, 2024
Merged

use lerp in ema #11442

merged 1 commit into from
Feb 1, 2024

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RangiLyu
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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

Please describe the motivation of this PR and the goal you want to achieve through this PR.

Modification

Please briefly describe what modification is made in this PR.

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

  1. Pre-commit or other linting tools are used to fix the potential lint issues.
  2. The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
  3. If the modification has potential influence on downstream projects, this PR should be tested with downstream projects, like MMDet or MMPreTrain.
  4. The documentation has been modified accordingly, like docstring or example tutorials.

@RangiLyu RangiLyu changed the base branch from main to dev-3.x January 30, 2024 06:20
@hhaAndroid hhaAndroid merged commit 498295a into open-mmlab:dev-3.x Feb 1, 2024
8 of 10 checks passed
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>
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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2 participants