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nuScenes Dataset #7

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aselimc opened this issue Mar 1, 2024 · 19 comments
Open

nuScenes Dataset #7

aselimc opened this issue Mar 1, 2024 · 19 comments

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@aselimc
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aselimc commented Mar 1, 2024

Hello,

Although in #4, this was discussed, I'd like to ask once more about any plans to release nuScenes code instructions?

Furthermore, can you please share more details about the GPU memory requirement (I've seen you have used 8xA100 but do you use all 80gb memory of A100s) and time (in hours/days) to train for nuScenes?

Best

@xizaoqu
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xizaoqu commented Mar 4, 2024

Hi. thanks for your interest in our methods. Since I'm busy with other topics and not able to catch up upgradation of mmdet3d, I will try to release the nuscenes codebase with the old version of mmdet3d this month.

@aselimc
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aselimc commented Mar 4, 2024

Hi, thanks for the answer and I'm glad you'll be sharing nuScenes codebase. And can you share details about the train time and GPU memory?

@xizaoqu
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xizaoqu commented Mar 4, 2024

Hi, thanks for the answer and I'm glad you'll be sharing nuScenes codebase. And can you share details about the train time and GPU memory?

It takes ~15 minutes to train one epoch on the 8 GPU * 4 batch size setting. I find that the PQ increases slowly even more than 100 epochs. So I keep training for about 200 epochs before the PQ is more than 75, which takes around 2 days. But I'm not sure about the exact memory for now. Need to check later.

@xizaoqu
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xizaoqu commented Mar 4, 2024

20221107_153449.log
Here is one training log.

@aselimc
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aselimc commented Mar 4, 2024

I suppose memory:14956 refers to 14.956 GB ?

@xizaoqu
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xizaoqu commented Mar 4, 2024

I suppose memory:14956 refers to 14.956 GB ?

I don't know what it represents, but it can not be 15GB Cuda memory.

@xizaoqu
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xizaoqu commented Apr 1, 2024

Hello,

Although in #4, this was discussed, I'd like to ask once more about any plans to release nuScenes code instructions?

Furthermore, can you please share more details about the GPU memory requirement (I've seen you have used 8xA100 but do you use all 80gb memory of A100s) and time (in hours/days) to train for nuScenes?

Best

Hi, the NuScenes codebase is released, feel free to try it out.

@aselimc
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aselimc commented Apr 2, 2024

Thank you for the release? Do you also plan to share the config file related to nuScenes ?

@xizaoqu
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xizaoqu commented Apr 2, 2024

Thank you for the release? Do you also plan to share the config file related to nuScenes ?

Please checkout the nuscene_oldversion_det3d branch.

@aselimc
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aselimc commented Apr 3, 2024

Thank you so much for releasing the codebase. I'm training it now using your config, I won't close this issue until I confirm the results.

@xizaoqu
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xizaoqu commented Apr 3, 2024

Thank you so much for releasing the codebase. I'm training it now using your config, I won't close this issue until I confirm the results.

You may also try to train it based on pretrained semantic models like https://github.com/cardwing/Codes-for-PVKD. It helps to stabilize the results.

@RONINGOD
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RONINGOD commented Apr 23, 2024

Thank you for the release? Do you also plan to share the config file related to nuScenes ?

Please checkout the nuscene_oldversion_det3d branch.
@xizaoqu I have a question: is the mask_hungarian_assigner the same as the new version of mmdet used in the main branch and Semantickitti?

@hphnngcquan
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Hi @xizaoqu

Why the PQ results from the pretrained model (75.1%) is little bit smaller than the results reported in the paper (75.9%)?

Thank you

@hphnngcquan
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Hi @aselimc,

Have you trained the nuscenes code?
Can you please share with me your train log from the first epoch?

Thank you

@xizaoqu
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xizaoqu commented Jun 27, 2024

Have you trained the nuscenes code? Can you please share with me your train log from the first epoch?

Hi, it is the full log from the first epoch (note: we use pretrained semantic segmentation models from https://github.com/cardwing/Codes-for-PVKD for initialization).

20221106_001005.log

@xizaoqu
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xizaoqu commented Jun 27, 2024

Hi @xizaoqu

Why the PQ results from the pretrained model (75.1%) is little bit smaller than the results reported in the paper (75.9%)?

We have trained a new model implemented the new version of mmdet3d, but accidentally deleted by the cluster server. So maybe I do not have time to recover it.

@xizaoqu
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xizaoqu commented Jun 27, 2024

Thank you for the release? Do you also plan to share the config file related to nuScenes ?

Please checkout the nuscene_oldversion_det3d branch.
@xizaoqu I have a question: is the mask_hungarian_assigner the same as the new version of mmdet used in the main branch and Semantickitti?

Hi, maybe you can directly compare the file. I'm not sure if the new version has any change.

@hphnngcquan
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thank you very much @xizaoqu

@hphnngcquan
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Have you trained the nuscenes code? Can you please share with me your train log from the first epoch?

Hi, it is the full log from the first epoch (note: we use pretrained semantic segmentation models from https://github.com/cardwing/Codes-for-PVKD for initialization).

20221106_001005.log

Hi @xizaoqu ,
As i reckon, this is the log from the previous version of code got deleted in cluster server. There are some parameters i do not see in the current code

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