This repository contains a Python script that uses dlib and OpenCV for facial detection in images. Once a face is detected, it identifies and visualizes 68 facial landmarks. These landmarks represent various key points on a face, such as the corners of the eyes, the tip of the nose, etc.

Features:

• Detect faces in images and videos.
• Mark 68 facial landmarks on detected faces.
• Visual display of facial landmarks on the original image.

Perfect for applications in facial recognition, emotion detection, and other advanced computer vision tasks.

.
├── Readme.md
├── landmarkImagem.py
├── landmarkVideo.py

This project requires the following libraries:

• OpenCV
• Dlib
• imutils
• Matplotlib

Through the two scripts presented, it becomes clear how accessible and effective the construction of a facial landmark detection system is. With the right tools and libraries, it's possible to demystify its complexity and implement it in a simplified manner.

This ability to identify and mark specific points on the face opens doors to a range of applications, from facial recognition to deeper analyses of expressions and emotions. By mastering these scripts, we can venture into new horizons in computer vision and further explore the potentialities of facial detection.

e-mail: [email protected]

This project is licensed under the MIT License.