SMARTS includes a visualizer called Envision that runs on a process separate from the main simulation process. To manage these processes we use supervisord (available as a pip dependency). Supervisord knows what processes to run by reading a supervisord.conf file. Instead of running python random_example/run.py directly, simply call,
The supervisord.conf file contains,
# [program:smarts] # command=python random_example/run.py # ... # [program:envision_server] # command=scl envision start -s ./dataset_public -p 8081 # ...
Feel free to change the above commands as necessary (the first to specify the command to run for SMARTS, and the latter to adjust location of the scenarios to use so that Envision can load them).
To see the front-end visualization visit http://localhost:8081/ in your browser. Select the simulator instance in the top left dropdown. If you are using SMARTS on a remote machine you will need to port forward 8081.
We also have built-in support for Visdom so you can see the image-based observation outputs in real-time. Start the visdom server before running your scenario and open the server URL in your browser http://localhost:8097.
# install visdom pip install visdom # start the server visdom
In your run.py script, enable visdom with,
env = gym.make( "smarts.env:hiway-v0", # env entry name ... visdom=True, # whether or not to enable visdom visualization (see Appendix). ... )