I am clueless on what to use in -u option an -v option in docker run. Also, pull Nerfstudio image and shows up in docker images list but not docker container ls list.

[robogo-pj]

go this so far

docker run --gpus all \ # Give the container access to nvidia GPU (required).
-u $(id -u) \ # To prevent abusing of root privilege, please use custom user privilege to start.
-v ~/gaithersburg/data/nerfstudio/data:/workspace/ \ # Mount a folder from the local machine into the container to be able to process them (required).
-v /home/pj/.cache/:/home/user/.cache/ \ # Mount cache folder to avoid re-downloading of models everytime (recommended).
-p 5001:5001 \ # Map port from local machine to docker container (required to access the web interface/UI).
--rm \ # Remove container after it is closed (recommended).
-it \ # Start container in interactive mode.
--shm-size=12gb \ # Increase memory assigned to container to avoid memory limitations, default is 64 MB (recommended).
ghcr.io/nerfstudio-project/nerfstudio:latest

what goes in -u and first -v workspace. /home/pj/gaithersburg/nerfstudio/data containes /nerfstudio/poster, nerfstudio/testout and dockerfile.

Also pulled docker nerfstudion. it apears in docker images but not docker container ls. also Since I attempted to setup nerfstudio with conda enviornment, I think none of the directoried above will work for me bevcause ˆthought everything needed would be in the docker container.

Any help is appreciated just looking to do a demo on a portio of a street scape. I eventual want to buiold a 3D digital twin of the city of Gaithersburg, md similar to Google 3D street view project and https://arxiv.org/abs/2406.16289

We are proposing to use a 3D digital twin simulator to first analyze then use neuroevolution to converge on optimal crash mitigation counter measures to reduce roadway serious injuries and deaths.

We will use rtk GPS and 5 mm TOF range finders (distance to curbs) to register the images positions fed to NERF processing workflow. Anyone interested in this project please contact me 301 916-5722