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An OpenCV based facial recognition system to detect multiple faces in a live feed from a webcam.

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iyashwantsaini/multiple-face-detection

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multiple-face-detection

An OpenCV based facial recognition system to detect multiple faces in a live feed from a webcam or an image.

OpenCV

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.

Numpy

NumPy is the fundamental package for scientific computing with Python. It contains among other things:

  1. a powerful N-dimensional array object
  2. sophisticated (broadcasting) functions
  3. tools for integrating C/C++ and Fortran code
  4. useful linear algebra, Fourier transform, and random number capabilities Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

Requirements

OpenCV , Numpy

Running code

  1. install OpenCV , Numpy
  2. run the script using following command : python file_name_here.py
  3. press ENTER to exit the app.

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An OpenCV based facial recognition system to detect multiple faces in a live feed from a webcam.

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