Yinhao Li

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You can run `bev_depth_lss_r50_256x704_128x128_20e_cbgs_2key_da_ema.py` directly.

Yes, it is deleted, in v0.2.0, it is not needed any more.

Hi! I hope this can help you. https://stackoverflow.com/questions/71961436/pytorch-lightning-resuming-from-checkpoint-with-new-data

Hi! We have provided multi-frame exps, please refer to https://github.com/Megvii-BaseDetection/BEVDepth/blob/main/exps/bev_depth_lss_r50_256x704_128x128_20e_cbgs_2key_da_ema.py. To reproduce the results in paper, you need to change the backbone to Vovnet and the image resolution to 640...

Yes, On the leaderboard, we use vovnet and 640x1600 resolution.

It is not available for now.

Right now, supporting waymo dataset is not on our TODO list. There are many codebases you can refer to like mmdetection3d and OpenPCDet, both of them have a good support...

You can use the depth prediction result generated by depth net to get the results.

This should work, but in my experimence, this may result in performance drop, since gt are not filtered based on the cameras you use.