Detection-Contours

This repository, developed by António Pedro Silva Matos, focuses on contour detection using Python and OpenCV. The goal is to provide a unified platform to explore, test, and compare the performance of various contour detection algorithms across different datasets and scenarios

Summary

1. Introduction
2. Overview
3. Functionalities
4. Configuration
5. Requirements
6. Configuration
7. Preperation
   • Download
   • Installation
8. Contribution
9. License

Introduction

This repository focuses on contour detection using Python and OpenCV. It provides tools and implementations for detecting and outlining contours in images and video streams.

Overview

The goal is to offer a unified platform to explore, test, and compare the performance of various contour detection algorithms across different datasets and scenarios.

Functionalities

• Implementation and comparison of different contour detection algorithms.

• Real-time contour detection from camera feeds.

• Pre-processing techniques including thresholding, edge detection, and morphological operations.

• Visualization of detected contours on images and video frames.

Configuration

No specific configuration is required beyond standard Python and OpenCV installation.

Requirements

• Python 3.x

• OpenCV (cv2)

• Numpy

Preparation

Download

  git clone https://github.com/AntonioPedro07/Detection-Contours.git
  cd Detection-Contours

Instalation

  python -m venv venv
  source venv/bin/activate # On Windows, use "venv\Scripts\activate"
  pip install -r requirements.txt

Contribution

Feel free to open issues and submit pull requests. Contributions are welcome!

License

Detection-Contours itself is released under the MIT License (refer to the LICENSE file for details).