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haarcascade-frontalface

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This project aim to a build system which helps in the detection of cataract and it's type with the use of Machine Learning and OpenCv algorithms with the accuracy of 96 percent.

  • Updated May 26, 2021
  • Jupyter Notebook

Human face identification has been a testing issue in the regions of picture preparing and patter acknowledgment. Another human face location calculation by crude Haar course calculation joined with the refreshed changes are to be examined.First, pictures of individuals are handled by a crude Haar course classifier, almost without wrong human fa…

  • Updated May 15, 2019
  • Python

Fun face filters with Python OpencCV. It uses Haar Casade Classifier, Dlib Face Detection Landmarks and the Mediapipe features to detect mainly faces positions, eye positions, and nose positions and use hands as a virtual mouse. It uses this information to overlay different accessories on the faces.

  • Updated Nov 16, 2022
  • Python

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