TrackTech
This project is part of the 2021 spring bachelor final project of the Bachelor of Computer Science at Utrecht University. The team did this project at a request from ATOE, a part of the Dutch National Police. The team that worked on the project consists of eleven students from the Bachelor of Computer Science and Bachelor of Game Technology. This project has been done for educational purposes. All code is open-source, and proper credit is given to respective parties.
Pylint
We use Pylint for python code quality assurance.
Installation
Input following command terminal:
pip install pylint
GPU support
Updating/Installing drivers
Update the GPU drivers and restart the system for changes to take effect. Optionally, use a different driver listed after running ubuntu-drivers devices
sudo apt install nvidia-driver-460
sudo reboot
Installing the container toolkit
Add the distribution, update the package manager, install NVIDIA for Docker, and restart Docker for changes to take effect. For more information, look at the install guide
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
&& curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
&& curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt update
sudo apt install -y nvidia-docker2
sudo systemctl restart docker
Acquire the GPU ID
According to this read the GPU UUID like GPU-a1b2c3d (just the first part) from
nvidia-smi -a
Add the resource
Add the GPU UUID from the last step to the Docker engine configuration file typically at /etc/docker/daemon.json. Create the file if it does not exist yet.
{
"runtimes": {
"nvidia": {
"path": "/usr/bin/nvidia-container-runtime",
"runtimeArgs": []
}
},
"default-runtime": "nvidia",
"node-generic-resources": ["gpu=GPU-a1b2c3d"]
}
Run
The Pylint linting should be run from the root with a specified Python module (subsystem). The command is as follows:
pylint <Subsystem> --rcfile=.pylintrc --reports=n
<Sub system> is the Python module to run. Pylint needs an __init__.py file in the root to parse all folders to lint. This run must be one of the subsystems since the root does not contain an __init__.py file.
--rcfile is the linting specification used by Pylint.
--reports sets whether the full report should be displayed or not. Our recommendation would be n since this only displays linting errors/warnings, and the eventual score.
Ignoring folders from linting
Some folders should be excluded from linting. This could be for multiple reasons like, the symlinked algorithms in the CameraProcessor folder, the Python virtual environment folder, etc. Add folder name to ignore= in .pylintrc.
