iitzco/faced
🚀 😏 Near Real Time CPU Face detection using deep learning
This tool helps you automatically identify human faces in images or live video feeds. You provide an image or video, and it outputs the same visual content with clear boxes drawn around each detected face. It's ideal for anyone who needs to quickly pinpoint faces in visual media.
552 stars. No commits in the last 6 months.
Use this if you need a quick way to detect faces in images or videos, particularly in a live setting using a standard computer's processor rather than specialized hardware.
Not ideal if you require an extremely high frame rate or absolute production-grade accuracy for critical, large-scale applications.
Stars
552
Forks
146
Language
Python
License
MIT
Category
Last pushed
Dec 22, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/iitzco/faced"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
serengil/deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race)...
ishandutta0098/mukh
A comprehensive face analysis library that provides unified APIs for various face-related tasks
akshaybahadur21/Facial-Recognition-using-Facenet
A simple implementation of facial recognition using facenets for humans 🧔 🔍
tomas-gajarsky/facetorch
Python library for analysing faces using PyTorch
Astrotomic/php-deepface
A PHP adapter for the python deepface framework.