Face Detection Application using Python and Artificial Vision

Introduction

This application uses Python and Artificial Vision to detect faces in video. It utilizes the OpenCV library for image processing and the Haar Cascade classifier for detection.

Usage

1. Run the script
2. Select an image file
3. The application will display the image with bounding boxes around any detected faces

Requirements

• Python 3
• OpenCV
• Face_recognition
• Numpy
• OS

Installation

Local 0. conda env create -n FaceFind --file environment.yml

1. Clone or download the repository
2. Install the required libraries by running pip install -r requirements.txt
3. Run the script with python main.py Remoto Implementamos una politica de CD CI con git-action para hacer el deploy y llo automatizamos para lanzarlo en railway

Conclusion

This application demonstrates the capabilities of Python and Artificial Vision in detecting faces in images. It can be used as a starting point for more advanced projects in computer vision and image processing.

The Team:

Víctor & Christian

#Presentación: https://www.canva.com/design/DAFZ4M4KXsA/QHx7cAqsHhQH5omOHq_SEw/view?utm_content=DAFZ4M4KXsA&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton

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