Computer Vision : Eye detection, Eye Blink detection, Face detection, Smile detection, Mouth detection, hand detection, Finger track by opencv in python.
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Updated
May 26, 2024 - Python
Computer Vision : Eye detection, Eye Blink detection, Face detection, Smile detection, Mouth detection, hand detection, Finger track by opencv in python.
Bu kod, web kameranızdan gerçek zamanlı olarak yüz, göz ve gülümseme algılama gerçekleştirir. OpenCV kütüphanesini kullanır ve Haar cascade sınıflandırıcılarına dayanır.
Real-time smile detection using Haar cascades
Smile recognizer AI.
This is a Python script that utilizes OpenCV to detect faces, eyes, and smiles in a webcam feed. It applies Haar cascades to detect these features and draws rectangles around them in real-time.
Smile detection using OpenCV Python. With this project we can detect live Smiling face with OpenCV
Smile detection using OpenCV + Eye detection
Some fun projects like snake game, Tic Tac Toe, stop watch etc.
Face--Smile-and-Eye-Detection-in-OpenCV | Menu Driven Python Program that can: 1) Detect Realtime Face, Smile and Eyes 2) Read Local Image and Detect Face and Eyes
Projects from online course on Image Processing from Great Learning Academy
this was me and Mohammad Kammel project for bio-metric course, this project aims at recognising people based on their smile, we created a dataset for this project by ourself
A Python program using Open CV to detect smiles on faces in video feed.
Face detection and replace stikers with face, eye and lip - Face align with eyes
smile detection using OpenCV, haarcascade
A Computer Vision project made in python with the help of opencv-python to detect smiles
This is a simple python script that takes a selfie when it detects a smile.
Real-time smile and eye detection app detect smile and eyes separately in a single frame implemented haar cascade algorithm using the python language and importing opencv library.
Face, Eye & Smile Detection using OpenCV & Python
In this project, you will know how to build a smiles detection system in an easy way
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