DeepJanus
replication package submitted to ICST2020. The repository contains three main elements: (1) the experimental data in xls format, (2) the folder DeepJanus-BeamNG and (3) the folder DeepJanus-MNIST
BeamNG
Tested on a machine featuring an i9 processor, 32 GB of RAM, and an Nvidia 2080 TI GPU with 11GB of memory and a Windows OS. Python version 3.6.5 64-bit.
Requirements
Most of the requirements have been collected in the requirements.txt file. Execute the following command
pip install -r requirements.txt
Moreover, DeepJanus requires the installation of the BeamNG.research simulator. Please refer to
https://beamng.gmbh/research/
Running DeepJanus.BeamNG
To set up the configuration, modify the files core/config.py and self-driving/beamng_config.py.
To run DeepJanus, launch self-driving/main_beamng.py
MNIST
Tested on a machine featuring an i7 processor, 16 GB of RAM, an Nvidia GeForce 940MX GPU with 2GB of memory and an Ubuntu OS.
Requirements
Potrace on Python, please refer to
https://pypi.org/project/pypotrace/
Running DeepJanus.MNIST
To set up the configuration, modify the file properties.py.
To run DeepJanus, launch main.py