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[CVPR'23 Best Paper Award] Planning-oriented Autonomous Driving

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I use the script 'uni_dist_train.sh' and try to train the stage1(track and map) model, but I encounter the error of 'OUT OF MEMORY'. I use four 3090 GPUs, the total...

For some reasons, the process fail when I run ./tools/uniad_dist_eval.sh ./projects/configs/stage2_e2e/base_e2e.py ./ckpts/uniad_base_e2e.pth 1 It fail when it is trying to evaluate on class bus, giving me a TypeError: can only...

I have followed the instruction written in docs/INSTALL.md. "step a ~ f" were processed successfully, except that I use cuda 11.3 and conduct "step b" with following command: ```shell conda...

help wanted

Great work, congratulations on receiving the best paper award! I have a question about the reference point update strategy. ``` velo = output_coords[-1, 0, :, -2:] # [num_query, 3] if...

question

Thank you for your awesome work! I would like to take some pictures to test the model. Besides six images taken from cam_front_left, cam_front, cam_front_right, cam_back_right, cam_back, cam_back_left, what else...

Exception has occurred: RuntimeError cusolver error: CUSOLVER_STATUS_INTERNAL_ERROR, when calling `cusolverDnCreate(handle)` File "/workspaces/UniAD-main/projects/mmdet3d_plugin/uniad/detectors/uniad_track.py", line 270, in velo_update g2l_r = torch.linalg.inv(l2g_r2).type(torch.float) File "/workspaces/UniAD-main/projects/mmdet3d_plugin/uniad/detectors/uniad_track.py", line 643, in _forward_single_frame_inference ref_pts = self.velo_update( File "/workspaces/UniAD-main/projects/mmdet3d_plugin/uniad/detectors/uniad_track.py",...

fixed

Thanks for your work! It seems that the scene_level_offset_embed is used to represent the tranj. position, thus when the rotation transform is performed, which coordinate system is it in? Meanwhile,...

Hello, While training stage to network, im seeing the following error. Is anyone seeing the same error? Traceback (most recent call last): File "./tools/train.py", line 256, in main() File "./tools/train.py",...

Thank your for your work. when I read the code and the paper, I find out that there is some differences between the figure 5 in the paper with the...

Can I use single_gpu_test in the test.py file to generate result.pkl? I tried, but the GPU RAM usage will exceed 48G, unlike custom_multi_gpu_test which will be controlled at around 8G...