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【AI实战营第二期】第一次作业提交08班 #95
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题目:基于RTMPose的耳朵穴位关键点检测
背景:根据中医的“倒置胎儿”学说,耳朵的穴位反映了人体全身脏器的健康,耳穴按摩可以缓解失眠多梦、内分泌失调等疾病。耳朵面积较小,但穴位密集,涉及耳舟、耳轮、三角窝、耳甲艇、对耳轮等三维轮廓,普通人难以精准定位耳朵穴位。
任务
1.Labelme标注关键点检测数据集(子豪兄已经帮你完成了)
2.划分训练集和测试集(子豪兄已经帮你完成了)
3.Labelme标注转MS COCO格式(子豪兄已经帮你完成了)
4.使用MMDetection算法库,训练RTMDet耳朵目标检测算法,提交测试集评估指标
5.使用MMPose算法库,训练RTMPose耳朵关键点检测算法,提交测试集评估指标
6.用自己耳朵的图像预测,将预测结果发到群里
7.用自己耳朵的视频预测,将预测结果发到群里
需提交的测试集评估指标(不能低于baseline指标的50%)
目标检测Baseline模型(RTMDet-tiny)
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关键点检测Baseline模型(RTMPose-s)
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数据集
耳朵穴位关键点检测数据集,MS COCO格式,划分好了训练集和测试集,并写好了样例config配置文件
链接: https://pan.baidu.com/s/1swTLpArj7XEDXW4d0lo7Mg 提取码: 741p
标注人:张子豪、田文博
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提交方式
请将作业内容上传到你自己的github仓库,并把对应的链接回复在评论区
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