# This repository contains CARLA 0.9.10 and later. To install previous CARLA versions, change to a previous version of the docs using the pannel in the bottom right part of the window
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.
To install CARLA versions prior to 0.9.10, change to a previous version of the documentation using the pannel in the bottom right corner of the window, and follow the old instructions.
<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">
This repository contains different versions of CARLA. You will find options to download the __current release__ with all the most recent fixes and features, __previous releases__ and a __nightly build__ with all the developmental fixes and features (this is the most unstable version of CARLA).
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.
For every release there are other packages containing additional assets and maps, such as __Additional_Maps_0.9.9.2__ for CARLA 0.9.9.2, which contains __Town06__, __Town07__, and __Town10__. These are stored separatedly to reduce the size of the build, so they can only be run after these packages are imported.
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).
