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[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

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I was in maptrv2 and when I was trying to run the training code, it seems that the code is still looking for the annotation files 'nuscenes_infos_temporal_{train,val}.pkl' which is generated...

When trying to test, > $./tools/dist_test_map.sh ./projects/configs/maptr/maptr_tiny_r50_24e_t4.py ./ckpts/maptr_tiny_r50_24e_t4.pth 1 The error below appeared. Does the following mean that mmdet3d is not installed properly? ``` File "/home/user/DATA_LOCAL2/MapTR/mmdetection3d/mmdet3d/ops/bev_pool/bev_pool.py", line 3, in from...

When I use the code will generate nuscenes_map_infos_temporal_{train,val}.pkl, which contain local vectorized map annotations. I meet an error ("networkx.exception.NodeNotFound: target node [(15.0, 2.355), (15.0, -2.636), (4.167, -30.0), (-15.0, 15.813), (0.284,...

Will you release the MapTRv2 C+L config? We refer the MapTR C+L config and MapTRv2 C config to get a MapTRv2 C+L config. But the evaluation results are not good....

environment: Ubuntu 18.04 torch 1.9.1+cuda111 torchaudio 0.9.1 torchvision 0.10.1+cuda111 error: ``` (maptr) yanjiaxing@pept3:~/baidu/baidu/personal-code/BevModels/mmdetection3d$ python setup.py develop running develop /home/yanjiaxing/anaconda3/envs/maptr/lib/python3.8/site-packages/setuptools/command/easy_install.py:156: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other...

Why does MapTRv2 only have BEVEncoder based on bevpool? Have you tried BEVEncoder based on GKT

google-auth 2.23.1 google-auth-oauthlib 1.0.0 matplotlib 3.4.0 matplotlib-inline 0.1.6 networkx 2.2 numpy 1.19.5 nuscenes-devkit 1.1.6 pandas 1.4.4 Pillow 8.3.2 scikit-image 0.19.3 scikit-learn 1.3.1 scipy 1.10.1 urllib3 2.0.5 This is the version...

how long will it cost if I train the MapTRv2 with 8 RTX3090 from scratch?

how to train and evaluate maptr or maptrv2 on a single gpu as all the code use torch.distributed ??

hi , thanks for your great work! I want to increase the range, [-15.0, -30.0, -2.0, 60.0, 30.0, 2.0], I modified "MapTRNMSFreeCoder" and point_cloud_range, but the result is not very...