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#

face-detection-using-opencv

Here are 80 public repositories matching this topic...

Software Engineering course project, Smart Attendance System using Face Recognition and OpenCV

  • UpdatedOct 6, 2021
  • Python
AIML-Pupil-DetectionFace-Detection-Project

A modern solution that leverages computer vision technology to automate and streamline the process of recording attendance.

  • UpdatedDec 11, 2023
  • Jupyter Notebook
realtime-face-anti-spoofing

Realtime Face Anti Spoofing with Face Detector based on Deep Learning using Tensorflow/Keras and OpenCV

  • UpdatedMar 7, 2022
  • Python

It can detect a Cat😺 Faces from image or video using OpenCV

  • UpdatedSep 8, 2020
  • Python

Notes about Computer vision and implementation of image-processing, face-detection, face-recognition, and character optical recognition applications.

  • UpdatedSep 5, 2022
  • Python

frontal face and profile detection implementation using OpenCV haar cascades files

  • UpdatedJun 23, 2020
  • Python

This project has face detection and real time recording native library loaded for use not need install openCv manager

  • UpdatedJan 25, 2021
  • Java
Facial_Expression_Detection

An implementation of the Pix2Pix generative adversarial network on anime faces and their edges.

  • UpdatedAug 2, 2021
  • Python

A Webapp that can detect face and count it from WebCam and Image.

  • UpdatedJul 12, 2021
  • Python

Human Face Detection in Excessive Dark Image using Python and OpenCV

  • UpdatedMay 23, 2021
  • Python

This is a Python 3 based project to perform fast & accurate face detection with OpenCV face detection to videos, video streams, and webcams using a pre-trained deep learning face detector model shipped with the library.

  • UpdatedJan 31, 2019
  • Python

A gentle introduction to training your first emotion detection system using the PyTorch Deep Learning library

  • UpdatedJun 24, 2022
  • Python

An emotion-based music recommendation system is a music recommendation system that uses machine learning algorithms to analyze the emotional content of songs and match them to the listener's emotional state in order to make personalized recommendations.

  • UpdatedJan 8, 2023
  • HTML

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