Closed x2ss closed 1 week ago
Sorry for the late reply.
You could find how we modified vq-bet for NuScenes driving task in the last page of Appendix (https://arxiv.org/pdf/2403.03181) and also, we downloaded and used pre-processed data from GPT-Driver (https://github.com/PointsCoder/GPT-Driver)
Thank you!
Sorry for the late reply.
You could find how we modified vq-bet for NuScenes driving task in the last page of Appendix (https://arxiv.org/pdf/2403.03181) and also, we downloaded and used pre-processed data from GPT-Driver (https://github.com/PointsCoder/GPT-Driver)
Thank you!
Thank you for your response.
I wonder if there is any code related to the NuScenes Driving Dataset on this Repository?
Thank you and best regards!
There's no some code for NuScenes Driving Dataset, but the only modification I did on GPT-Driver pre-processed data is reordering the objects in the order of distance from the agent, and extracting current pose / future traj / adding one-hot object class.
I modified gpt-driver/prompt_message.py, gpt-driver/create_data.py, and gpt-driver/create_data_uniad.py
Thank you Seungjae.
There's no some code for NuScenes Driving Dataset, but the only modification I did on GPT-Driver pre-processed data is reordering the objects in the order of distance from the agent, and extracting current pose / future traj / adding one-hot object class.
I modified gpt-driver/prompt_message.py, gpt-driver/create_data.py, and gpt-driver/create_data_uniad.py
Thank you Seungjae.
Thanks for your kind replay, it helps a lot.
Hi!
Thank you for sharing this excellent work.
I'm interested in using the NuScenes driving dataset, but I can't locate any guides.
Could you please give me some advice?
Thank you and best regards!