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installation.md

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Advanced Installation

We provide step-by-step instructions to install our devkit.

Download

Download the truckscenes-devkit to your home directory.

Install Python

The devkit is tested for Python 3.8 - 3.11 (recommended Python 3.8).

Ubuntu

sudo apt update
sudo apt install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update
sudo apt install python3.8
sudo apt install python3.8-dev

Windows
Install python: https://www.python.org/downloads/

Mac OS
Install python: https://www.python.org/downloads/

Setup a virtual environment

For setting up a virtual environment we use venv.

Install venv

sudo apt-get install python3-venv

Create the virtual environment named venv

python3 -m venv venv

Activate the virtual environment

If you are inside the virtual environment, your shell prompt should look like: (venv) user@computer:~$
If that is not the case, you can enable the virtual environment using:

source venv/bin/activate

To deactivate the virtual environment, use:

deactivate

Setup PYTHONPATH

Add the src directory to your PYTHONPATH environmental variable:

export PYTHONPATH="${PYTHONPATH}:$HOME/truckscenes-devkit/src"

Install required packages

To install the required packages, run the following command in your favorite virtual environment:

pip install -r requirements.txt

Note: The requirements file is internally divided into base requirements (base) and additional requirements (tutorial, visu).

If you want to install these additional requirements, please run:

pip install -r setup/requirements/requirements_<>.txt

Setup environment variable

Finally, if you want to run the unit tests you need to point the devkit to the truckscenes folder on your disk.
Set the TRUCKSCENES environment variable to point to your data folder:

export TRUCKSCENES="/data/man-truckscenes"

Setup Matplotlib backend

When using Matplotlib, it is generally recommended to define the backend used for rendering:

  1. Under Ubuntu the default backend Agg results in any plot not being rendered by default. This does not apply inside Jupyter notebooks.
  2. Under MacOSX a call to plt.plot() may fail with the following error (see here for more details): 
    libc++abi.dylib: terminating with uncaught exception of type NSException

To set the backend, add the following to your ~/.matplotlib/matplotlibrc file, which needs to be created if it does not exist yet:

backend: TKAgg

Verify install

To verify your environment run python -m unittest in the test folder.

That's it you should be good to go!


Copied and adapted from nuscenes-devkit