simple_bev
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A Simple Baseline for BEV Perception
Firstly i think the motivation of this paper is very insightful and the conclusion is solid enough, thanks the authors for your effort. I'm curious about the "**randomize reference cam...
hi, Adam W. did you encounter single card training is normal, but there is nan with multiple cards 
Hello aharley, first thanks for your great work. I'm trying to reproduce the code, but I'm running into problems, the CPU memory keeps growing during training, I'm wondering if this...
You will also need to download [nuScenes](https://www.nuscenes.org/) and its dependencies. For a beginner, it is difficult to me. if it is convenient for you, please give me a detailed procedure....
Hello, I have a question in https://github.com/aharley/simple_bev/blob/main/utils/vox.py#L333, why z_pixB is zeros_like x? Why isn't z at different heights during sampling?
According to the read.me, I have comply the seconed requirements.txt which including fire and so on. whether the second file requirements.txt is needed.
Hi, thank you for the nice work and for sharing your code! I believe that your implementation of BEVFormer has a small bug: https://github.com/aharley/simple_bev/blob/be46f0ef71960c233341852f3d9bc3677558ab6d/nets/bevformernet.py#L296 It looks like the values for...
Thanks for your great work. When i read the code, i meet a question in the line 145 of "train_nuscenes.py". `xyz_cam0 = utils.geom.apply_4x4(cams_T_velo[:,0], xyz_velo0)` "cams_T_velo[:,0]" means the "camera0 to world"...
Hello, I want to know why need to calculate xyz_camB in [thisline](https://github.com/aharley/simple_bev/blob/be46f0ef71960c233341852f3d9bc3677558ab6d/utils/vox.py#L306) and what is z after that line? And another is why the vertical dimension is Y instead of...
In the paper, little information is given on how to perform bilinear sampling during 2D-BEV transfer, anyone can explain it more detailedly?