CodeCamp #101: Support MMDetection 3.x RTMDet model deployment on RV1126#1551
Merged
lvhan028 merged 11 commits intoopen-mmlab:dev-1.xfrom Jan 6, 2023
Merged
CodeCamp #101: Support MMDetection 3.x RTMDet model deployment on RV1126#1551lvhan028 merged 11 commits intoopen-mmlab:dev-1.xfrom
lvhan028 merged 11 commits intoopen-mmlab:dev-1.xfrom
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AllentDan
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Dec 20, 2022
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May fix the lint error. If you are using vscode, may install clang-format plugin and set property.json like following:
"editor.formatOnSave": true,
"clang-format.fallbackStyle": "Google",
"clang-format.language.cuda.fallbackStyle": "Google",
"clang-format.language.cuda.style": "Google",
"clang-format.language.cpp.enable": true,
"[cpp]": {
"editor.defaultFormatter": "xaver.clang-format",
"editor.wordBasedSuggestions": false,
"editor.suggest.insertMode": "replace",
"editor.semanticHighlighting.enabled": true
},
"clang-format.executable": "/home/linuxbrew/.linuxbrew/bin/clang-format",
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AllentDan
reviewed
Jan 3, 2023
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No problem🫡. |
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Mentor @lvhan028 😁. |
lvhan028
pushed a commit
that referenced
this pull request
Mar 1, 2023
…126 (#1551) * * partition rtmdet * * add rtmdet deploy config * * add rtmdet deploy config * * modify rtmdet pipline anchor_generator's info dump * support rtmdet infer in sdk * fix a bug * * fix a bug in csrc/mmdeploy/preprocess/transform/normalize.cpp * * fix a bug * * update docs * * fix lint * * update several urls in docs
ewernn
pushed a commit
to ewernn/mmdeploy
that referenced
this pull request
Nov 17, 2025
…ent on RV1126 (open-mmlab#1551) * * partition rtmdet * * add rtmdet deploy config * * add rtmdet deploy config * * modify rtmdet pipline anchor_generator's info dump * support rtmdet infer in sdk * fix a bug * * fix a bug in csrc/mmdeploy/preprocess/transform/normalize.cpp * * fix a bug * * update docs * * fix lint * * update several urls in docs
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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 receiving feedbacks. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.
Motivation
Support MMDetection 3.x RTMDet model deployment on RV1126.
Modification
BC-breaking (Optional)
Does the modification introduce changes that break the backward-compatibility of the downstream repositories?
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)
Checklist