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Hi,thanks for your great work!when i want to train your model,i meet this problem,can you help me ?looking forward to your reply.
InternalError (see above for traceback): Blas xGEMM launch failed : a…
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hello @QingyongHu
what the value of ```batch-size``` and ```N``` when training SemanticKITTI ?
in the ```3.4. Implementation``` of your paper, it said used the fixed ```N ~= 1e6```, but the nu…
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For the multiple scan experiment in the SemanticKITTI paper, was the Darknet53Seg network also trained over the combined dataset (5-scans combined), or was it only evaluated over the 5-scan combined d…
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Hi,
Thanks for making this state of the art algorithm readily available!
When experimenting with your code, I noticed that you provide in your config file image mean and standard deviation param…
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We are currently running our competition of the DFC 2020 on your platform.
Here is the link to our competition: https://competitions.codalab.org/competitions/22289
The status of several submission…
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In the squeezesegV2.py class, I can see that the binary mask has not been used as an input channel. However, in the squeezesegV2 paper, the authors have claimed that using this binary mask to indicate…
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sorry,when i train it,it occurs such a mistake
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Hi, all,
According to Section 4 - Experiement in paper "SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences", could you clarify "single scan result" and "multiple scan resu…
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Name: SenmanticKITTI
Path: /data3/SenmanticKITTI
Size: 80G
Official homepage: http://semantic-kitti.org/dataset.html
Description: A Dataset for Semantic Scene Understanding using LiDAR Sequences
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