robot-learning-freiburg / batch3dmot Goto Github PK View Code? Open in Web Editor NEW 31.0 4.0 2.0 13.62 MB 3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. http://batch3dmot.cs.uni-freiburg.de License: GNU General Public License v3.0 Python 100.00% graphneuralnetwork 3d-mot tracking kitti nuscenes robotics centerpoint megvii graph-neural-networks computer-vision Introduction ยท People ยท Discuss
chunk_size_lidar, lidar_batch_idx Hello, Does the value of "chunk_size_lidar" and "lidar_batch_idx" set by myself ? And how much is better? @martinbchnr
Could not find some .py files Thank you very much for your outstanding work! I could not find some codes in the project such as:
Results on nuScenes validation split Hi! Thank you for sharing your work! I think it is very inspiring and interesting. Could you please share your tracking result (i.e. the .json file) on the nuScenes validation split? It would be very appreciated! Many thanks and best regards
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