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[CodeCamp2023-340] New Version of config Adapting MobileNet Algorithm #1774
[CodeCamp2023-340] New Version of config Adapting MobileNet Algorithm #1774
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Hi @DE009, We'd like to express our appreciation for your valuable contributions to the mmpretrain. Your efforts have significantly aided in enhancing the project's quality. If you're on WeChat, we'd also love for you to join our community there. Just add our assistant using the WeChat ID: openmmlabwx. When sending the friend request, remember to include the remark "mmsig + Github ID". Thanks again for your awesome contribution, and we're excited to have you as part of our community! |
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please remove the folder _base_/models/mobilenet_v3
, but only keep one file to set model config like mobilenet_v3_small.py
, and the training configs of mobile net v3 all inherit from this mobilenet_v3_small.py
file
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you can refer to mmpretrain/configs/vision_transformer
, to find some examples
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removed the folder _base_/models/mobilenet_v3
add base model config file mobilenet_v3_small.py
in _base_/models/
modified all training configs of mobile net v3 in folder mmpretrain/configs/mobilenet_v3/
to inheri the base model config mobilenet_v3_small.py
please update these base file and training configs in |
Codecov ReportPatch coverage is
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…s of mobile net v3 inherit from the base model config
* [CodeCamp2023-584]Support DINO self-supervised learning in project (#1756) * feat: impelemt DINO * chore: delete debug code * chore: impplement pre-commit * fix: fix imported package * chore: pre-commit check * [CodeCamp2023-340] New Version of config Adapting MobileNet Algorithm (#1774) * add new config adapting MobileNetV2,V3 * add base model config for mobile net v3, modified all training configs of mobile net v3 inherit from the base model config * removed directory _base_/models/mobilenet_v3 * [Feature] Implement of Zero-Shot CLIP Classifier (#1737) * zero-shot CLIP * modify zero-shot clip config * add in1k_sub_prompt(8 prompts) for improvement * add some annotations doc * clip base class & clip_zs sub-class * some modifications of details after review * convert into and use mmpretrain-vit * modify names of some files and directories * ram init commit * [Fix] Fix pipeline bug in image retrieval inferencer * [CodeCamp2023-341] 多模态数据集文档补充-COCO Retrieval * Update OFA to compat with latest huggingface. * Update train.py to compat with new config * Bump version to v1.1.0 * Update __init__.py --------- Co-authored-by: LALBJ <[email protected]> Co-authored-by: DE009 <[email protected]> Co-authored-by: mzr1996 <[email protected]> Co-authored-by: 飞飞 <[email protected]>
New Version of config Adapting MobileNet Algorithm, based on open-mmlab/OpenMMLabCamp#340
Motivation
MMEngine has introduced a novel configuration mechanism, utilizing which we will perform configuration file adaptation.
Modification
Add 3 config python files in mmpretrain/configs/base/datasets/
Add 2 config python files in mmpretrain/configs/base/models/
Add 2 config python files in mmpretrain/configs/base/schedules/
Add 1 config python files in mmpretrain/configs/mobilenet_v2/
Add 5 config python files in mmpretrain/configs/mobilenet_v3/
Remove folder mmpretrain/configs/base/models/mobilenet_v3/
Checklist
Before PR:
After PR: