zhulf0804 / PointPillars

A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
MIT License
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关于eval结果与mmdet3d官方结果对比问题 #44

Open hehualin-tut opened 1 year ago

hehualin-tut commented 1 year ago

作者您这个工程很容易理解也很容易复现,但是我还是有个问题,我看了下最新的pillars的评估结果,发现mmdet3d精度是要略微高一些的,我看了下不同的地方大概在以下几点: 1.学习率设置,官方是0.001,这个工程是0.00025,我相信这是您调试出来的较好的lr。 2.在pillar_encoder里,目前官方代码好像是不再用offset去代替原始绝对坐标了。我不太清楚目前到低使用哪个效果较好。 3.数据增强方面,不管是sample_group还是db_filter您应该是在原始的基础上又进行了调整,不知道我的猜想是否正确。 4.分布式训练所带来的提升,这一点我无法肯定,因为我没有那么多显卡去验证。 最后我再问下,您使用的坐标系最后是激光雷达坐标系吗?

gopalkumr commented 1 year ago

Hi, @hehualin-tut I need help in setting up the environment and running the pre-trained inferences, It would be grateful if you can help me. If possible I would love to have a little conversation with you, your any contact information like, Email, or social media link would be grateful.

hehualin-tut commented 1 year ago

Hi, @hehualin-tut I need help in setting up the environment and running the pre-trained inferences, It would be grateful if you can help me. If possible I would love to have a little conversation with you, your any contact information like, Email, or social media link would be grateful.

you could send your issue to hhlin@stud.tjut.edu.cn