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LaRa: Latents and Rays for Multi-Camera Bird’s-Eye-View Semantic Segmentation
I'm sorry to bother you again. It really a good work and the code is pretty well-organized. I'm a beginner in the field of automatic driving and I have some questions .
How does the data should be organized? I fit the data look like the following,but i dou't know whether it is right?
/datasets/
├─ nuscenes/
│ ├─ v1.0-trainval/
│ ├─ samples/
└─ maps/
├─ basemap/
├─ expansion/
├─ prediction/
└─ XXXX.png/
(i want to train the model only using samples data )
I want to know how to change the visibility threshold in the code? I read the "configs" carefully but not find it
How to valid the model and visualize the result?
I would appreciate it if you could reply me .Thank you very much.
Hello!Thanks for your good work ! could you please explain what GPU you used to train models, and how long does it take?
requirements.yaml specify :
which got me pytorch-lighting 2.0.6 installed, which is not compatible with your code. Using :
made it work.
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