Train and eval on the OpenOccupancy benchmark

Rorisis / Co-Occ

[IEEE RA-L] Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction

https://ieeexplore.ieee.org/document/10517470

Apache License 2.0

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Train and eval on the OpenOccupancy benchmark #5

Open HR-zju opened 2 months ago

HR-zju commented 2 months ago

Hello Rorisis, First and foremost, thank you for your incredible work and dedication to this project. I am currently attempting to use Co-Occ to train on the OpenOccupancy benchmark. However, I am having difficulty finding a reference config file to guide me through this process. Could you kindly provide a reference config file or point me to any documentation that might assist me in setting this up correctly? @Rorisis

Rorisis commented 2 months ago

Thanks for your question. We have uploaded the config for the openoccupancy benchmark and the model weights in the readme.