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感谢您优秀的工作!我首先下载了您提供的预训练权重进行了验证并很好的达到了和您一样的效果,然后我尝试进行了重新训练,但是结果并未达到您给出的预训练权重一样的精度,我使用了wce_two_stage配置,设备是一张4090,batchsize为6,我的精度如下:0.6021805,使用了TTA精度提升至0.6215877,这让我有些苦恼,请问在训练的时候还有什么需要注意的吗,感谢您的回复,谢谢
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Could you please tell me where are the SemanticKITTI/dataset/sequences/instance/instance_path.pkl? Thank you for openning source.
dzp17 updated
3 months ago
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Thanks for sharing your work.
I find that you have the result of multiple scan task on SemanticKITTI. I wonder know what number you set for "n_frames" to merge multiple scans for this task.
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具体情况如下;
===init env success===
Traceback (most recent call last):
File "/home/lcy/桌面/PMF-master/tasks/pmf_eval_semantickitti/infer.py", line 369, in
exp.run()
File "/home/lcy/桌面/PMF-mast…
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What is the data_velodyne under the SemanticKITTI folder? How can I get this?
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As per the paper, I read that
`The 3D encoder is a modified SPVCNN [10] (voxel size 0.1)
with fewer parameters, whose hidden dimensions are 64 for SemanticKITTI and
128 for NuScenes to speed up the…
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Hi,
thank you for publishing the code to your very interesting paper!
Could you please kindly look at my steps that I did to try to reproduce the results in the paper? Clearly I must be doing so…
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您好呀,在Urban动态数据集上测试,这个动态点云为啥这么多呢?在只查看动态点云里程计的情况下。
![image](https://github.com/user-attachments/assets/3fbeb341-2cd1-4990-bb85-58006086d66e)
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Hello! My**** velodyne **and** labels**** data have point cloud and point cloud label files in the same format as SemanticKitti **in. bin and. label formats**. The following image shows the result of …
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I am trying to run your code using the trained weights you provided,
(btw, I am not sure what is the difference between 'semantickitti_test_65.3.pth' and 'semantickitti_val_62.6.pth', both trained …