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normal_point是从哪里来的? #1
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将Train_Model.py里的识别视频换成正常姿态的视频,保存文件名改成normal_point.csv,识别完后会保存文件,是这样来的
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zijian ***@***.***> 于2023年11月24日(周五) 晚上7:51写道:
你好,我看了一下您的代码,发现fall_point是从视频提取,那normal_point是怎么来的呢?也没有相关的代码生成normal_point.csv.
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大佬你好 请问这个模型训练是怎么训练的 是分一个跌倒和一个正常的视频 然后来训练呢 这个能不能搞成通过摄像头实时进行跌倒检测 |
提取出来csv一块训练的,分类嘛这不是。然后摄像头也支持的。就通过摄像头提取画面,帧输入模型进行判断即可。我主页有个项目fall_detection可以参考一下 |
正常的姿态视频还需要自己找吗 |
需要,训练模型的输入需要正常姿态关键点数据集和跌倒姿态关键点数据集。
张潞
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发送时间: 2024年5月22日(星期三) 下午4:54
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主题: Re: [Code-Deer/KNN-Fall-Detection] normal_point是从哪里来的? (Issue #1)
正常的姿态视频还需要自己找吗
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你好,我看了一下您的代码,发现fall_point是从视频提取,那normal_point是怎么来的呢?也没有相关的代码生成normal_point.csv.
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