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hi,非常棒的工作!
我想得到每帧pcd点云每个点的分割结果,读过代码决定在ic分离misses之后,将余下的点当做hits来处理,最后将misses和hits统一转为xyz的格式进行保存,不过后来发现类型转换实在是有点让人眩晕orz
想请问下这种处理方法是正确的吗,以及有什么更好的建议吗
The text was updated successfully, but these errors were encountered:
尝试了一种更简单的办法,在处理完当前帧后,把当前cloud扔回map进行seenFree的判别,平均运行时间多了40ms左右,但代码改动量较少
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Hi 谢谢认可
读过代码决定在ic分离misses之后,将余下的点当做hits来处理,最后将misses和hits统一转为xyz的格式进行保存,不过后来发现类型转换实在是有点让人眩晕orz
完全理解,更好的建议就是你第二条提出的(至少我在我的新工作中是这样识别的:https://github.com/KTH-RPL/SeFlow; 这里面我对单帧的分割结果进行保存,作为prior 到自监督学习用
平均运行时间多了40ms左右,但代码改动量较少
运行时间我记得纯C++的话 好像是会多一点,但是我不太记得清是否有到40ms;代码的话 如果你不想改,可以直接使用Python API我上面提到的repo 这个script:https://github.com/KTH-RPL/SeFlow/blob/main/process.py
这是一个迟到的回复 非常感谢张博耐心的解答,感谢整个Benchmark,解决了非常多脏活累活blabla 祝你科研顺利,生活开心! ^_^
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hi,非常棒的工作!
我想得到每帧pcd点云每个点的分割结果,读过代码决定在ic分离misses之后,将余下的点当做hits来处理,最后将misses和hits统一转为xyz的格式进行保存,不过后来发现类型转换实在是有点让人眩晕orz
想请问下这种处理方法是正确的吗,以及有什么更好的建议吗
The text was updated successfully, but these errors were encountered: