Comments (14)
wzzheng
commented on July 29, 2024
2
Yes.
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huang-yh
commented on July 29, 2024
2
What's the difference between [nuscenes-noIgnore.yaml] and nuscenes.yaml ? Hope for detailed explanation. Thanks!! @wzzheng
The nuscenes-noIgnore.yaml assigns voxels without any annotation an "empty" label, and is used for 3D semantic occupancy prediction. The nuscenes.yaml does not have the "empty" class and simply ignores voxels without annotation when calculating losses, and thus is used for the lidar segmentation task.
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scuizhibin
commented on July 29, 2024
1
大佬，代码更新了吗？
…---Original---
From: "Wenzhao ***@***.***>
Date: Wed, Feb 8, 2023 16:30 PM
To: ***@***.***>;
Cc: ***@***.******@***.***>;
Subject: Re: [wzzheng/TPVFormer] Question about the label (Issue #3)
Yes.
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wzzheng
commented on July 29, 2024
1
We use the sparse lidar segmentation labels to train the network. The trained model can generalize them to other areas in the scene.
Hi, congratulations on your awesome work! Out of curiosity, have you ever experimented with accumulating lidar scans to generate denser labels for training purposes?
Yes. Actually, we plan to release a paper doing this recently. Stay tuned!
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wzzheng
commented on July 29, 2024
We use the sparse lidar segmentation labels to train the network.
The trained model can generalize them to other areas in the scene.
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scuizhibin
commented on July 29, 2024
Is the code open source on weekends？
…---Original---
From: "Wenzhao ***@***.***>
Date: Wed, Feb 8, 2023 16:21 PM
To: ***@***.***>;
Cc: ***@***.******@***.***>;
Subject: Re: [wzzheng/TPVFormer] Question about the label (Issue #3)
We use the sparse lidar segmentation labels to train the network.
The trained model can generalize them to other areas in the scene.
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wzzheng
commented on July 29, 2024
更新了！
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scuizhibin
commented on July 29, 2024
大佬 抱大腿
…---Original---
From: "Wenzhao ***@***.***>
Date: Sun, Feb 12, 2023 21:50 PM
To: ***@***.***>;
Cc: ***@***.******@***.***>;
Subject: Re: [wzzheng/TPVFormer] Question about the label (Issue #3)
更新了！
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FrontierBreaker
commented on July 29, 2024
What's the difference between [nuscenes-noIgnore.yaml] and nuscenes.yaml ? Hope for detailed explanation. Thanks!! @wzzheng
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scuizhibin
commented on July 29, 2024
怎么制作生成训练的标签？是nuscenes自带的吗？
…---Original---
From: ***@***.***>
Date: Tue, Feb 14, 2023 18:07 PM
To: ***@***.***>;
Cc: ***@***.******@***.***>;
Subject: Re: [wzzheng/TPVFormer] Question about the label (Issue #3)
What's the difference between [nuscenes-noIgnore.yaml] and nuscenes.yaml ? Hope for detailed explanation. Thanks!! @wzzheng
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wzzheng
commented on July 29, 2024
怎么制作生成训练的标签？是nuscenes自带的吗？
…
---Original--- From: @.> Date: Tue, Feb 14, 2023 18:07 PM To: @.>; Cc: @.@.>; Subject: Re: [wzzheng/TPVFormer] Question about the label (Issue #3) What's the difference between [nuscenes-noIgnore.yaml] and nuscenes.yaml ? Hope for detailed explanation. Thanks!! @wzzheng — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
是的，Panoptic nuScenes有这个标签
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FrontierBreaker
commented on July 29, 2024
got it, thanks!
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anhquancao
commented on July 29, 2024
We use the sparse lidar segmentation labels to train the network. The trained model can generalize them to other areas in the scene.
Hi, congratulations on your awesome work! Out of curiosity, have you ever experimented with accumulating lidar scans to generate denser labels for training purposes?
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anhquancao
commented on July 29, 2024
Thank you for the information!
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Related Issues (20)
- Question about 3D OCC task training
- Minimum computer configuration for inference stage？ HOT 1
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