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This is a desktop application for the WALDO cheat detection software.
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🗃️Table of Contents
A deep learning Artificial Intelligence (A.I.) can detect the human behavioral characteristics of a user within a video game. We plan to train an A.I. to understand how humans play video games via a visual machine learning program. Once the program understands how humans play video games based on gameplay footage, we can then feed it the gameplay footage to determine if the player in the footage is receiving assistance from a 3rd party "hack" or "cheat" program.
This section should list any major frameworks/libraries used to bootstrap your project. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.
To get started with this project, you will need to read the documentation on how to start contributing to the project.
To contribute to this project, you will need to read the documentation on how to start contributing to the project. and read the global contributing guidelines.
First you will need to install the dependencies for your project. We recommend using yarn to install all dependencies.
$ yarn install
There are many was to start development with the electron application, you can either start by running the following command:
$ yarn start
# or
$ yarn dev
or you can run the following command to start the application in development mode:
$ yarn react:start
$ yarn electron:start
To run test or use format your code, you can run the following command:
$ yarn lint
$ yarn run craco test
You will need to create your own test file to run the tests, unless there is a pre-existing test file. We encourage you to write your own test file to run the tests so that your when you PR your code, you don't need to wait for other developers to run tests on your code.
To build the application for local development, you can run the following command:
$ yarn build:win
This will build the application for windows with two new directories:
dist
and build
.
In the build
directory, you will find the webpack bundle.
You will find the packaged application in the dist
directory and the unpackaged application in the dist/win-unpacked
directory.
Distributed under the MPL License. See LICENSE.md
for more information.
Twitter: @waldovision
Organisation Link: https://github.com/waldo-vision
Many thanks to the following projects for the use of their code: