[Feature] Add annotation conversion tool from Labelbee to COCO #1306
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ly015
changed the title
Codecov ReportAll modified and coverable lines are covered by tests ✅ 📢 Thoughts on this report? Let us know! |
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| def main(): | ||
| parser = argparse.ArgumentParser() | ||
| parser.add_argument('--input-file', type=str, default='/home/wanghao/Work/labelbee_json_2_MMPose_COCO_json/', help='输入labelbee json的根路径') |
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Please make the default path anonymous.
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| if __name__=='__main__': | ||
| main() |
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This PR has some linting problems. Please follow
https://github.com/open-mmlab/mmpose/blob/master/.github/CONTRIBUTING.md to setup pre-commit.
| import argparse | ||
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| ''' | ||
| 将 labelbee多步标注 后的关键点数据进行标签转化，转至mmpose模型需要的coco格式。 数据集先划分好。 |
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@ly015 Do we need an English version of the docstring?
| "id":1, | ||
| "name":"Attribution-NonCommercial-ShareAlike License"}] | ||
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| anno_info["categories"] = [{"supercategory":"person", |
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It seems that only COCO 17-kpt body pose definition is supported. The generality is a little bit concerning.
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Hi @wanghao-007！We are grateful for your efforts in helping improve this open-source project during your personal time. |
Motivation
Modification
BC-breaking (Optional)
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Checklist
Before PR:
After PR: