OpenCV based Face recognition software. Based on Coding Blocks webinar on Machine Learning.
This is a Face Recognition project which is based on Python 2.7. It uses the fundamentals of Machine Learning specifically the kNN Algorithm along with resources from OpenCV.
Python 2.7
OpenCV(For mac,kindly use the conda/brew installer for installing OpenCV.)
conda install -c menpo opencv1.Run record_faces.py on the command line or a python kernal.The script will open a camera window.Stand in front of the camera until recording of the face is completed.
2.The default file where the features are stored is face_01.npy. You can change the file name if you want to store information of many persons.
3.Open the face_recognition.py file and edit your name in the dictionary value corresponding to the number in which your face was stored i.e. for face_01,add your name to '0' value in the names dictionary.
4.Run the face_recognition.py file!
This project is based on the Machine Learning Webinar hosted by Coding Blocks.
This repository is developed by Manan Manwani.