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INSTALL.md

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Installation Guide

To begin the installation, please follow the instructions below:

Download our repository:

git clone https://github.com/ZhangLab-DeepNeuroCogLab/CSEGG.git
cd CSEGG/

Pre-requisite

The code has been successfully tested in Ubuntu 20.04 with four GPUs (NVIDIA RTX A5000). It requires the following:

  • PyTorch = 1.10.1
  • python = 3.8.13
  • CUDA = 11.3
  • torchvision = 0.11.2
  • torchaudio = 0.10.1
  • cocoapi
  • yacs
  • matplotlib
  • GCC >= 4.9
  • OpenCV

Conda Environments

Refer to link for Anaconda installation. Alternatively, execute the following command:

#setting up conda
curl -O https://repo.anaconda.com/archive/Anaconda3-2023.03-1-Linux-x86_64.sh
bash Anaconda3-2023.03-1-Linux-x86_64.sh

After Anaconda installation, create a new conda environment using the following command:

conda create --name sggc --file spec_file.txt

Activate the conda environment:

conda activate sggc

MISC packages

Install the miscellaneous (MISC) dependencies using the following commands:

pip install -r requirements.txt

Build Project

Build the project on your local system using the following command:

python setup.py build develop

Installing Pycoco and Apex dependencies

Execute the following command to set the installation directory:

#This command sets the "INSTALL_DIR" environment variable to the current working directory, 
#simplifying the referencing of the installation directory in subsequent steps.
export INSTALL_DIR=$PWD

Install pycocotools (python version of cocoapi) using the following set of commands:

cd $INSTALL_DIR

#downloading cocoapi package
git clone https://github.com/cocodataset/cocoapi.git

cd cocoapi/PythonAPI

#install pycocotools
python setup.py build_ext install

Install apex using the following set of commands:

cd $INSTALL_DIR

#downloading apex package
git clone https://github.com/NVIDIA/apex.git

cd apex

#install apex
python setup.py install --cuda_ext --cpp_ext
cd $INSTALL_DIR

Execute the following command to unset the installation directory:

unset INSTALL_DIR