Open Anji-Builds opened 1 month ago
PandaSet sequences already has camera and lidar poses provided, so no pre-processing is required.
You can see how the camera poses are parsed here: https://github.com/georghess/neurad-studio/blob/main/nerfstudio/data/dataparsers/pandaset_dataparser.py#L173
@JulienStanguennec-Leddartech Are both camera and lidar poses necessary or just Camera would poses be sufficient? ie. can I omit all the parts that take in lidar values and would it still work?
Hi, did you try this? We have not developed or tested a camera-only version of neurad, but hopefully it can be achieved with minimal code modifications
How is the poses estimated for training in neurad method?
As far as I have understood, generally preprocessing is required for custom datasets in nerfstudio. How is it that we skip
ns-process-data
step and directly proceed topython nerfstudio/scripts/train.py neurad pandaset-data
?I have noticed it is also similar for the unisim training suggestion in the repo. What makes us directly skip the preprocessing step?
If someone could guide me it would be really helpful for me to understand the working.