Powerful and efficient Computer Vision Annotation Tool (CVAT)
- Install docker
sudo apt-get update
sudo apt-get --no-install-recommends install -y \
apt-transport-https \
ca-certificates \
curl \
gnupg-agent \
software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository \
"deb [arch=amd64] https://download.docker.com/linux/ubuntu \
$(lsb_release -cs) \
stable"
sudo apt-get update
sudo apt-get --no-install-recommends install -y docker-ce docker-ce-cli containerd.io- Perform post-installation steps to run docker without root permissions.
sudo groupadd docker
sudo usermod -aG docker $USER- Install docker-compose (1.19.0 or newer).
sudo apt-get --no-install-recommends install -y python3-pip python3-setuptools
sudo python3 -m pip install setuptools docker-compose- Install s3fs-fuse
sudo apt install s3fs- Get AWS credentials and replace ACCESS_KEY_ID and SECRET_ACCESS_KEY in the following command
echo ACCESS_KEY_ID:SECRET_ACCESS_KEY > ${HOME}/.passwd-s3fs
chmod 600 ${HOME}/.passwd-s3fs- Mount S3 path. Replace with your bucket name/
mkdir /home/ubuntu/cloud-mount
s3fs <bucket-name> /home/ubuntu/cloud-mount -o allow_other -o passwd_file=${HOME}/.passwd-s3fs- Clone CVAT source code from the GitHub repository.
sudo apt-get --no-install-recommends install -y git
git clone -b dt-v2.1.0 https://github.com/detecttechnologies/cvat.git
cd cvat- To access CVAT over a network or through a different system, export CVAT_HOST environment variable. Replace your-ip-address
export CVAT_HOST=your-ip-address- Export Cloud Mount path
export CVAT_MOUNT=/home/ubuntu/cloud-mount- Build and run docker containers
docker-compose -f docker-compose.yml -f docker-compose.dev.yml -f docker-compose.override.yml up --build -d- Ignore if upgrading, Create superuser
docker exec -it cvat bash -ic 'python3 ~/manage.py createsuperuser'