The quick start installation uses a pre-packaged version of CARLA. The content is comprised in a boundle that can run automatically with no build installation needed. The API can be accesseded fully but advanced customization and development options are unavailable.
The requirements are simpler than those for the build installation.
* __Server side.__ A 4GB minimum GPU will be needed to run a highly realistic environment. A dedicated GPU is highly advised for machine learning.
* __Client side.__ [Python](https://www.python.org/downloads/) is necessary to access the API via command line. Also, a good internet connection and two TCP ports (2000 and 2001 by default).
* __System requirements.__ Any 64-bits OS should run CARLA. However, since release 0.9.9, __CARLA cannot run in 16.04 Linux systems with default compilers__. These should be upgraded to work with CARLA.
* __Other requirements.__ Two Python modules: [Pygame](https://pypi.org/project/pygame/) to create graphics directly with Python, and [Numpy](https://pypi.org/project/numpy/) for great calculus.
<ahref="https://github.com/carla-simulator/carla/blob/master/Docs/download.md"target="_blank"class="btn btn-neutral"title="Go to the latest CARLA release">
The repository contains the different versions of the simulator available. _Development_ and _stable_ sections list the packages for the different official releases. The later the version the more experimental it is. The _nightly build_ is the current development version as today and so, the most unstable.
There may be many files per release. The package is a compressed file named as __CARLA_version.number__. Other elements such as __Town06_0.9.5.tar.gz__ are additional maps.
Download and extract the release file. It contains a precompiled version of the simulator, the Python API module and some scripts to be used as examples.
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## Import additional assets
Additional assets are distributed in CARLA under a compressed package file. For instance, some releases come with [__additional maps__](https://github.com/carla-simulator/carla/blob/master/Docs/download.md) as mentioned previously. In order to use them in CARLA, download and move the package to the _Import_ folder, and run the following script to extract them.
A window containing a view over the city will pop up. This is the _spectator view_. To fly around the city use the mouse and `WASD` keys (while clicking). The server simulator is now running and waiting for a client to connect and interact with the world.
Now it is time to start running scripts. The following example will spawn some life into the city:
*`-carla-rpc-port=N` Listen for client connections at port `N`. Streaming port is set to `N+1` by default.
*`-carla-streaming-port=N` Specify the port for sensor data streaming. Use 0 to get a random unused port. The second port will be automatically set to `N+1`.
*`-quality-level={Low,Epic}` Change graphics quality level. Find out more in [rendering options](adv_rendering_options.md).
* __[Full list of UE4 command-line arguments][ue4clilink].__ There is a lot of options provided by UE. However, not all of these will be available in CARLA.
The packaged version requires no updates. The content is bundled and thus, tied to a specific version of CARLA. Everytime there is a release, the repository will be updated. To run this latest or any other version, delete the previous and install the one desired.
Thus concludes the quick start installation process. In case any unexpected error or issue occurs, the [CARLA forum](https://forum.carla.org/) is open to everybody. There is an _Installation issues_ category to post this kind of problems and doubts.
So far, CARLA should be operative in the desired system. Terminals will be used to contact the server via script, interact with the simulation and retrieve data. To do so, it is essential to understand the core concepts in CARLA. Read the __First steps__ section to learn on those. Additionally, all the information about the Python API regarding classes and its methods can be accessed in the [Python API reference](python_api.md).
