This project serves as a demonstration of my coding skills. I had an idea of making a simulation of the evolution process, but making a computer learn just image classification would not be as excited as making it learn to play the Dino game. I wanted it to be able to play an actual game in the browser, not a custom self-made game copy.
To decide whether to jump or run, it takes the screenshot, crop it, applies a couple of converts on it, and gives it to a pre-trained Neural Network.
It learns the patterns by looking at premade pictures and setting the score to each NN from the population, then it takes the best from them and creates a new population-based on the weights of an old one, and mutates them a bit, and does it all over again. After a couple of epochs, when you are satisfied with the results of the current NN, you stop the training, and then you free to use that NN to make it play the Dino game.
The project is provided with a pre-trained model which you could you right now to make it play the Dino game.
-
Python -
PIL (Python Imaging Library) -
Pandas -
Numpy -
Tensorflow -
Selenium -
Pynput
To start using that project on your machine, you need to have a Python 3.7+, download the repository and run the command below to install all required dependencies to then use it.
pip install -r requirements.txt
Run SimulateRun.py and watch it plays.
MIT License
Copyright (c) 2021 Didechkin Oleg
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
- Upwork - Didechkin Oleg
- Fiverr - Didechkin Oleg
- LinkedIn - Didechkin Oleg
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent