Command-Line Options

The scenic command supports a variety of options. Run scenic -h for a full list with short descriptions; we elaborate on some of the most important options below.

General Scenario Control

-m <model>, --model <model>

Specify the world model to use for the scenario, overriding any model statement in the scenario. The argument must be the fully-qualified name of a Scenic module found on your PYTHONPATH (it does not necessarily need to be built into Scenic).

-p <param> <value>, --param <param> <value>

Specify the value of a global parameter. This assignment overrides any param statements in the scenario. If the given value can be interpreted as an int or float, it is; otherwise it is kept as a string.

Dynamic Simulations

-S, --simulate

Run dynamic simulations from scenes instead of plotting scene diagrams. This option will only work for scenarios which specify a simulator, which is done automatically by the world models for the simulator interfaces that support dynamic scenarios, e.g. scenic.simulators.carla.model and scenic.simulators.lgsvl.model. If your scenario is written for an abstract domain, like, you will need to use the --model option to specify the specific model for the simulator you want to use.

--time <steps>

Maximum number of time steps to run each simulation (the default is infinity). Simulations may end earlier if termination criteria defined in the scenario are met.

--count <number>

Number of successful simulations to run (i.e., not counting rejected simulations). The default is to run forever.


-v <verbosity>, --verbosity <verbosity>

Set the verbosity level, from 0 to 3 (default 1):


Nothing is printed except error messages and warnings (to stderr). Warnings can be suppressed using the PYTHONWARNINGS environment variable.


The main steps of compilation and scene generation are indicated, with timing statistics.


Additionally, details on which modules are being compiled and the reasons for any scene/simulation rejections are printed.


Additionally, the actions taken by each agent at each time step of a dynamic simulation are printed.