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Facial_Features_Detection_Using_Python_Numpy_OpenCV

This project has code base for the facial features detection. Features like face, eyes and smile is detected in this program. It uses Anaconda Jupyter distribution system with Python 3, Numpy and OpenCV framework for object detection. It also uses HaarCascade algorithm developed by Viola-Jones in 2001

Pre-requisites

make sure you have installed below software on your computer

  1. Anaconda Navigator
  2. Python 3.*
  3. Numpy Framework
  4. OpenCV Framwork
  5. You need to have a WebCam installed and working on your computer

How to use the code

Simply download the jupyter notebook in this repository and open it using your JupyterLab instance inside Anaconda. This is a working code so no changes required.

About

This project has code base for the facial features detection. Features like face, eyes and smile is detected in this program. It uses Anaconda Jupyter distribution system with Python 3, Numpy and OpenCV framework for object detection. It also uses HaarCascade algorithm developed by Viola-Jones in 2001

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