install.sh

#!/bin/bash

# Local variables
PROJECT_NAME=spt
PYTHON=3.8
TORCH=2.2.0
CUDA_SUPPORTED=(11.8 12.1)


# Recover the project's directory from the position of the install.sh
# script and move there. Not doing so would install some dependencies in
# the wrong place

# HERE=`dirname $0`
# HERE=`realpath $HERE`
HERE=`pwd`
cd $HERE


# Installation of Superpoint Transformer in a conda environment
echo "_____________________________________________"
echo
echo "         🧩 Superpoint Transformer 🤖        "
echo "                  Installer                  "
echo
echo "_____________________________________________"
echo
echo
echo "⭐ Searching for installed CUDA"
echo
# Recover the CUDA version using nvcc
CUDA_VERSION=`nvcc --version | grep release | sed 's/.* release //' | sed 's/, .*//'`
CUDA_MAJOR=`echo ${CUDA_VERSION} | sed 's/\..*//'`
CUDA_MINOR=`echo ${CUDA_VERSION} | sed 's/.*\.//'`

# If CUDA version not supported, print error and exit
if [[ ! " ${CUDA_SUPPORTED[*]} " =~ " ${CUDA_VERSION} " ]]
then
    echo "Found CUDA ${CUDA_VERSION} installed, which is not among the supported versions: "`echo ${CUDA_SUPPORTED[*]}`
    echo "Please update CUDA to one of the supported versions."
    exit 1
fi

echo
echo
echo "⭐ Searching for installed conda"
echo
# Recover the path to conda on your machine
# First search the default '~/miniconda3' and '~/anaconda3' paths. If
# those do not exist, ask for user input
# CONDA_DIR=`realpath ~/miniconda3`
CONDA_DIR='/opt/conda'
# if (test -z $CONDA_DIR) || [ ! -d $CONDA_DIR ]
# then
#   CONDA_DIR=`realpath ~/anaconda3`
# fi

# while (test -z $CONDA_DIR) || [ ! -d $CONDA_DIR ]
# do
#     echo "Could not find conda at: "$CONDA_DIR
#     read -p "Please provide your conda install directory: " CONDA_DIR
#     CONDA_DIR=`realpath $CONDA_DIR`
# done

echo "Using conda conda found at: ${CONDA_DIR}/etc/profile.d/conda.sh"
source ${CONDA_DIR}/etc/profile.d/conda.sh

echo
echo
echo "⭐ Creating conda environment '${PROJECT_NAME}'"
echo
# Create deep_view_aggregation environment from yml
conda create --name ${PROJECT_NAME} python=${PYTHON} -y

# Activate the env
source ${CONDA_DIR}/etc/profile.d/conda.sh  
conda activate ${PROJECT_NAME}

echo
echo
echo "⭐ Installing conda and pip dependencies"
echo
conda install pip nb_conda_kernels -y
pip install matplotlib
pip install plotly==5.9.0
pip install "jupyterlab>=3" "ipywidgets>=7.6" jupyter-dash
pip install "notebook>=5.3" "ipywidgets>=7.5"
pip install ipykernel
pip3 install torch==${TORCH} torchvision --index-url https://download.pytorch.org/whl/cu${CUDA_MAJOR}${CUDA_MINOR}
pip install torchmetrics==0.11.4
pip install pyg_lib torch_scatter torch_cluster -f https://data.pyg.org/whl/torch-${TORCH}+cu${CUDA_MAJOR}${CUDA_MINOR}.html
pip install torch_geometric==2.3.0
pip install plyfile
pip install h5py
pip install colorhash
pip install seaborn
pip install numba
pip install pytorch-lightning
pip install pyrootutils
pip install hydra-core --upgrade
pip install hydra-colorlog
pip install hydra-submitit-launcher
pip install rich
pip install torch_tb_profiler
pip install wandb
pip install open3d
pip install gdown
pip install ipyfilechooser
pip install laspy
pip install mlflow
pip install azureml-core==1.56.0
pip install azureml-dataset-runtime==1.56.0
pip install azureml-defaults==1.56.0.post1
pip install azure-ml==0.0.1
pip install azure-ml-component==0.9.18.post2
pip install azureml-mlflow==1.56.0
pip install azureml-contrib-services==1.56.0
pip install azureml-contrib-services==1.56.0
pip install azureml-automl-common-tools==1.56.0
pip install torch-tb-profiler~=0.4.0
pip install azureml-inference-server-http
pip install inference-schema
pip install MarkupSafe==2.1.2
pip install regex
pip install pybind11
pip install urllib3>=1.26.18
pip install cryptography>=42.0.5
pip install aiohttp>=3.8.5
pip install idna>=3.7



echo
echo
echo "⭐ Installing FRNN"
echo
git clone --recursive https://github.com/lxxue/FRNN.git src/dependencies/FRNN

# install a prefix_sum routine first
cd src/dependencies/FRNN/external/prefix_sum
python setup.py install

# install FRNN
cd ../../ # back to the {FRNN} directory
python setup.py install
cd ../../../

echo
echo
echo "⭐ Installing Point Geometric Features"
echo
# Install libstdcxx-ng in the conda environment, to make sure pgeof
# finds its dependencies:
# https://github.com/drprojects/superpoint_transformer/issues/102
# This is a linux-only fix:
# https://stackoverflow.com/a/68845839
conda install -c conda-forge libstdcxx-ng -y
pip install git+https://github.com/drprojects/point_geometric_features.git

echo
echo
echo "⭐ Installing Parallel Cut-Pursuit"
echo
# Clone parallel-cut-pursuit and grid-graph repos
git clone https://gitlab.com/1a7r0ch3/parallel-cut-pursuit.git src/dependencies/parallel_cut_pursuit
git clone https://gitlab.com/1a7r0ch3/grid-graph.git src/dependencies/grid_graph

# Compile the projects
python scripts/setup_dependencies.py build_ext

echo
echo
echo "🚀 Successfully installed SPT"