https://github.com/codewithcharan/rock-paper-scissors-project
https://github.com/codewithcharan/rock-paper-scissors-project
Last synced: about 1 year ago
JSON representation
- Host: GitHub
- URL: https://github.com/codewithcharan/rock-paper-scissors-project
- Owner: CodeWithCharan
- Created: 2023-09-18T08:54:24.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-18T19:53:51.000Z (over 2 years ago)
- Last Synced: 2025-02-08T17:44:52.616Z (over 1 year ago)
- Language: Python
- Size: 24.7 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Rock-Paper-Scissors with AI
In this project, you will play the classic game of Rock-Paper-Scissors against an AI opponent. I've created an AI model that is trained to recognize hand gestures using Keras, TensorFlow, and OpenCV. I used OpenCV to gather images and utilized a pretrained model called "SqueezeNet" using the Keras library with TensorFlow as the backend framework.
## Requirements
To run this project, you will need the following software and libraries:
- Python 3
- Keras
- TensorFlow
- OpenCV
## Setup Instructions
Follow these steps to set up and run the project:
1. Clone the repository:
```
git clone https://github.com/your-username/rock-paper-scissors.git
cd rock-paper-scissors
```
2. Download Python 3.7.0 from [here](https://www.python.org/downloads/release/python-370/). Note that you should not add Python 3.7.0 to your PATH during installation.
3. Create a virtual environment for the specific Python version:
```
virtualenv -p venv
```
4. Activate the virtual environment:
- In Command Prompt (CMD):
```
venv\Scripts\activate.bat
```
- In PowerShell:
```
venv\Scripts\Activate.ps1
```
5. Install the project dependencies:
```
pip install -r requirements.txt
```
6. Gather Images for each gesture (rock, paper, scissors, and none). In this example, we gather 200 images for each gesture. Note that this step is optional:
```
python gather_images.py rock 200
python gather_images.py paper 200
python gather_images.py scissors 200
python gather_images.py none 200
```
7. Train the model (optional):
```
python train.py
```
8. Test the model on some images(optional):
```
python test.py .jpg
```
9. Play the game against AI:
```
python play.py
```