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junjie18 / CMT

[ICCV 2023] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
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Result without lidar #93

Open BeMuCa opened 6 months ago

BeMuCa commented 6 months ago

Hey @junjie18 , How did you do inference without the LiDAR data? Can you give me hints on how to reproduce it? I tried with empy lidar files, but i get a error. RuntimeError: CUDA error: invalid configuration argument

thanks!

junjie18 commented 6 months ago

@BeMuCa Add dict(type='ModalMask3D', mode='test', mask_modal='points') in the validation pipeline. https://github.com/junjie18/CMT/issues/10

dingmiaomiao commented 3 months ago

Thanks for your work! In paper, bevfusion can get 0.40 with mask-modal strategy when LiDAR sensor missing. But I added "ModalMask3D" to bevfusion and trained with mask-modal strategy, the result only is 0.25. Can you provide more technology details or point out my some error operations?