* disable using pip extra requirement installation * loose numpy * waymo * waymo version * add numpy hint * restore * Add to note * add hint
78 lines
3.0 KiB
ReStructuredText
78 lines
3.0 KiB
ReStructuredText
.. _install:
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########################
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Installation
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########################
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1. Conda Environment
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~~~~~~~~~~~~~~~~~~~~~~~~
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The ScenarioNet repo contains tools for converting scenarios and building database from various data sources.
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We recommend to create a new conda environment and install Python>=3.8,<=3.9::
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conda create -n scenarionet python==3.9
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conda activate scenarionet
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2. Make a New Folder (Optional)
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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In addition, the operations in ScenarioNet are executed as Python module ``python -m``, and thus we have to make sure
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the working directory contains NO folders named ``metadrive`` or ``scenarionet``.
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Therefore, we strongly recommend creating a new folder under your routine working directory.
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For example, supposing you prefer working at ``/home/lee``,
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it would be greate to have a new folder ``mdsn`` created under this path.
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And the ``git clone`` and package installation should happen in this new directory.
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As a result, the directory tree should look like this::
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/home/lee/
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├──mdsn
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├──metadrive
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├──scenarionet
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├──...
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In this way, you can freely run the dataset operations at any places other than ``/home/lee/mdsn``.
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Now, let's move to this new directory for further installation with ``cd mdsn``.
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.. note::
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This step is optional. One can still ``git clone`` and ``pip install`` the following two packages at any places.
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If any ``python -m scenarionet.[command]`` fails to run, please check if there is a folder called `metadrive`
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or `scenarionet` contained in the current directory. If so, please switch to a new directory to avoid this issue.
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3. Install MetaDrive
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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The simulation part is maintained in `MetaDrive <https://github.com/metadriverse/metadrive>`_ repo, and let's install MetaDrive first.
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The installation of MetaDrive on different platforms is straightforward and easy!
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We recommend to install in the following ways::
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# Method 1 (Recommend, latest version, source code exposed)
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git clone git@github.com:metadriverse/metadrive.git
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cd metadrive
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pip install -e.
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# Method 2 (Stable version, source code hidden)
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pip install "metadrive-simulator>=0.4.1.1"
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To check whether MetaDrive is successfully installed, please run::
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python -m metadrive.examples.profile_metadrive
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.. note:: Please do not run the above command at a directory that has a sub-folder called :code:`./metadrive`.
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4. Install ScenarioNet
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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For ScenarioNet, we only provide Github installation::
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git clone git@github.com:metadriverse/scenarionet.git
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cd scenarionet
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pip install -e .
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.. note::
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If you don't wanna access the source code, you can install these two packages with
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``pip install git+https://github.com/metadriverse/scenarionet.git``
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and ``pip install git+https://github.com/metadriverse/metadrive.git``.
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Though it is more straightforward, one has to install additional requirements, like development
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toolkits, manually.
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