nuScenes Dataset

[aselimc]

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]

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]

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]

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]

20221107_153449.log
Here is one training log.

[aselimc]

I suppose memory:14956 refers to 14.956 GB ?

[xizaoqu]

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]

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]

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

[xizaoqu]

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]

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]

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]

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]

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]

Hi @aselimc,

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

Thank you

[xizaoqu]

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