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I want to know your environment #3

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Gironote opened this issue Oct 1, 2020 · 9 comments
Closed

I want to know your environment #3

Gironote opened this issue Oct 1, 2020 · 9 comments

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@Gironote
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Gironote commented Oct 1, 2020

Thank you for sharing the code.
I want to know your development environment. ( ubuntu, cuda, cudnn, python version, tensroflow etc..)

@TixiaoShan
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@Jihun-Kim-kmu
The environment is
Ubuntu 16.04
Cuda 10.0
CUDNN 7.6.2
Python 2
Tensorflow 1.13

@Gironote
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Gironote commented Oct 2, 2020

@TixiaoShan
Thank you for your answer.
In addition, is it possible to apply data obtained from vlp-16 lidar in the real world?
If possible, can I get the pcd file converted from 16 to 64?

@TixiaoShan
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@Jihun-Kim-kmu
Yes, you can train a network for "VLP-64" and test it using VLP-16. We showed some results in the paper.
Sorry I don't have more files to share. I lost the experimental files since I changed the job. The bags shared here is from a very early backup.

@Gironote
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Gironote commented Oct 2, 2020

@TixiaoShan
If I train for vlp 64, can I get it in the form of pcd or npy by output?

@TixiaoShan
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@Jihun-Kim-kmu
Yes, there is a script provided here that can convert the output to PCL point cloud.

@Gironote
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Gironote commented Oct 2, 2020

Thank you again.

@Gironote Gironote closed this as completed Oct 2, 2020
@Gironote
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Gironote commented Oct 5, 2020

@TixiaoShan
sorry I have one more question. If i want to train for vlp-16 to vlp-64.
Do I need both vlp16, vlp64 data(for training) obtained at the same time?

@TixiaoShan
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@Jihun-Kim-kmu
You just need the VLP-64 data when gathering. VLP-16 data can be extracted from VLP-64 data - extract 16 channels from 64 channels.

@Gironote
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@TixiaoShan
I have a question about data.py
If I run data.py, I understood it as extracting npy of 16 channels from carla_ouster_range_image.npy.
But i can't get extarcted 16 channels npy.
image
If the command is wrong, can you give me the command?

@TixiaoShan TixiaoShan pinned this issue Dec 17, 2021
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