Key Features • How To Use • Credits • Related • License

• Fully trained AI with templates and assets for your own use.
• Templates for extracting training data from.
• Administrative scripts for training the AI, testing the model accuracy etc.

To use Railguard:

• Source Code
  • Clone this repository via the Command Line with git clone https://github.com/ameasere/Railguard.
  • Install Python <3.10 for your OS/Architecture, and add to your PATH.
  • Install Anaconda and set up a development environment.
  • Install Python in Anaconda, preferably 3.9.
  • Install the project requirements via the requirements.txt file, make sure you have the GPU version of Tensorflow in Anaconda.

  Any issues with installation, consult this video.

  • Execute the main.py file via the Command Line with python main.py, or using an IDE.
    • We highly recommend PyCharm, that is how we developed Railguard!

Note As of the last README commit/update, Python 3.10+ is not supported. This is because Tensorflow GPU support was dropped after this version. Versions below 3.10 are tested and verified to work; the older you pick, the less likely however.

Please keep in mind that this software is entirely open-source, meaning everything you see was developed for free with no financial incentive, investment or gain and was entirely done during personal time.

This software uses the following open-source packages:

• Python
• Tensorflow
• Keras
• Qt
• SCR
• Emojis are taken from here

With a huge thanks to:

• Wanderson Pimenta
• Zeno Rocha

GPL-3

Developer @ameasere  ·  Operations Director @ SCR @GameZotto