# Robocon Ball Detection and Decision Making
This project is designed to detect balls and make decisions based on their positions in the context of a Robocon competition.
## Table of Contents
- [Introduction](#introduction)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [License](https://github.com/mariswarycharan/Robocon_24_version/blob/main/LICENSE)
## Introduction
Robocon Ball Detection and Decision Making is a Python project that utilizes computer vision techniques to detect balls and analyze their positions. The main goal is to aid in decision-making processes, especially in scenarios such as Robocon competitions where precise understanding of the game environment is crucial.
## Features
- Ball detection using YOLO (You Only Look Once) object detection model.
- Decision-making algorithm based on the positions of detected balls and predefined rules.
- Visualization of detected balls and decision outcomes.
## Installation
To use this project, follow these steps:
1. Clone the repository to your local machine:
```bash
git clone https://github.com/mariswarycharan/Robocon_24_version.git
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Run the project:
```bash
from Robocon_24 import decision_maker
import cv2
image = cv2.imread(r'sample.jpg')
final_decision, result_image = decision_maker(image)
print(final_decision)
cv2.imshow('Result',result_image)
cv2.waitKey(0)
cv2.destroyAllWindows()
```
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"description": "# Robocon Ball Detection and Decision Making\r\n\r\nThis project is designed to detect balls and make decisions based on their positions in the context of a Robocon competition.\r\n\r\n## Table of Contents\r\n- [Introduction](#introduction)\r\n- [Features](#features)\r\n- [Installation](#installation)\r\n- [Usage](#usage)\r\n- [License](https://github.com/mariswarycharan/Robocon_24_version/blob/main/LICENSE)\r\n\r\n## Introduction\r\n\r\nRobocon Ball Detection and Decision Making is a Python project that utilizes computer vision techniques to detect balls and analyze their positions. The main goal is to aid in decision-making processes, especially in scenarios such as Robocon competitions where precise understanding of the game environment is crucial.\r\n\r\n## Features\r\n\r\n- Ball detection using YOLO (You Only Look Once) object detection model.\r\n- Decision-making algorithm based on the positions of detected balls and predefined rules.\r\n- Visualization of detected balls and decision outcomes.\r\n\r\n## Installation\r\n\r\nTo use this project, follow these steps:\r\n\r\n1. Clone the repository to your local machine:\r\n\r\n ```bash\r\n git clone https://github.com/mariswarycharan/Robocon_24_version.git\r\n ```\r\n\r\n2. Install the required dependencies:\r\n\r\n ```bash\r\n pip install -r requirements.txt\r\n ```\r\n\r\n3. Run the project:\r\n\r\n ```bash\r\n from Robocon_24 import decision_maker\r\n import cv2\r\n\r\n image = cv2.imread(r'sample.jpg')\r\n\r\n final_decision, result_image = decision_maker(image)\r\n\r\n print(final_decision)\r\n\r\n cv2.imshow('Result',result_image)\r\n cv2.waitKey(0)\r\n cv2.destroyAllWindows()\r\n ```\r\n\r\n",
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