aniass / Face-Detection

Face detction using OpenCV

Face Detection

General info

In this project used OpenCV library to detect face, eyes and smile in an image. The OpenCV library has two pre-trained face detection classifiers and this task was used Harr Classifier.

Project includes:

• Detection face, eyes and smile in an image - Face_eye_smile_detection.ipynb
• Detection faces in an image - Face_Detection.ipynb
• Python script with face detection model - face.py
• models, images - images and models used in the project.

Technologies

Project is created with:

• Python 3.6
• libraries: OpenCV, numpy, matplotlib.

Running the project:

To run this project install locally packages:

pip install opencv

Next download the notebook and models/"haarcascade_frontalface_default.xml" to your system and run the script:

face.py

To run Face_Detection.ipynb and Face_eye_smile_detection.ipynb files use Jupyter Notebook or Google Colab.