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A simple implementation of facial features (face, eyes & nose) recognition application using OpenCV library.

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Computer_Vision_Face_Landmarks_Detection

A simple implementation of facial features (face, eyes & nose) recognition application using OpenCV library.

Getting Started

These instructions will get you a with creating a virtual environment. The files for operating system related environments are in folder called virtual_env_files.

Steps To Create a Virtual Environment

A step by step series of examples that tell you how to get a development env running

Go to the virtual_env_files folder, and type the following command in your terminal.

If you are using mac use the below command

conda env create -f virtual_environment_mac.yml

If you are using windows use the below command

conda env create -f virtual_environment_windows.yml

If you are using mac use the below command

conda env create -f virtual_environment_linux.yml

It will take some time to create and install all the virtual environment related packages & libraries.

Run the project

To run the project, all you have to do is select the facial_features_recognition.py file, and run it.

Author

Sehul Viras

Portfolio

Initial work - https://github.com/Seh83

Blogs & Publications

Medium Blog - https://medium.com/@sehulviras

Publications - https://medium.com/i-a

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A simple implementation of facial features (face, eyes & nose) recognition application using OpenCV library.

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