jarvislabs_nerfstudio_setup.sh

#!/bin/env bash
 
cp -r /home/.ssh /root/
#cp -r /home/.conda_envs/nerfstudio /opt/conda/envs/
cp -r /home/.conda_envs/snerg3.8 /opt/conda/envs/
#(
#  cd /home/nerfstudio
#  git pull
#)

## end
export DEBIAN_FRONTEND=noninteractive
apt-get update
#apt-get -y upgrade
apt-get -y install ffmpeg

#conda create --name nerfstudio -y python=3.8
#conda init bash
#. ./.bashrc 
conda activate snerg3.8

#python -m pip install --upgrade pip setuptools opencv-python-headless
# pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 --extra-index-url https://download.pytorch.org/whl/cu118
#pip install ninja git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch

#git clone git@github.com:misza222/nerfstudio.git

#cd nerfstudio
#pip install -e .
#ns-install-cli
#pip install -e .[dev]
#pip install -e .[docs]

# ns-train nerfacto --data data/nerfstudio/poster --viewer.websocket-port 7010

## forward port 7010 on remote to localhost 7010
## !!! run on local machine!!!
# ssh -f -N -L 7010:localhost:7010 -p 8967 root@ssha.jarvislabs.ai

## when running nerfstudio, specify --viewer.websocket-port 7010

## new kernel for conda env
## https://jarvislabs.ai/docs/env/#start-a-new-kernel-from-jupyterlab
# conda activate envname
# jupyter kernelspec remove -y python3.8
# python -m ipykernel install --user --name=python3.8

## VSCode
#new target for debugging
#python extension