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I have solved a problem by following these steps: Download the dair-v2x(cooperative-vehicle-infrastructure )dataset and the new annotation data as mentioned in the github homepage of where2comm Organize your dataset file...

Hi, thanks for your great work! I want to reproduce this model on the Coperception-UAVs dataset. How can I get the yaml and build_dataset.py?

Happy rabbit year! Can you please explain why we need reset the communication mask to ones **with a stride of 2** in the following line (https://github.com/MediaBrain-SJTU/Where2comm/blob/5ea31dcc4e102fc45a3dfcc5bff0339ee06543ac/opencood/models/comm_modules/where2comm.py#L71)? I cannot find anything...

x_fuse.append(self.fuse_modules[i](neighbor_feature)) if you use Transformer as the fusion model. You need to input four parameters, so why just one neighbor_feature ?

I have already reproudced your result in DAIR-V2X and received expected results. However, in your paper you claimed to use both camera and LiDAR as input, while in this repository...

Hi, thanks for sharing the code for your excellent work. In the current README, it seems that the dataset support does not include the OPV2V dataset, can you provide more...