Finding Tiny Faces in PyTorch
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Updated
May 27, 2024 - Python
Finding Tiny Faces in PyTorch
The Facial Recognition and Detection Application provides both image and live camera facial recognition and detection. In image mode, it identifies faces, eyes, and smiles within loaded images. In live camera mode, it continuously captures real-time video and performs facial recognition, eye detection, and smile detection,
Detect faces on Steam store/library banners.
Image recognition app which can recognize human faces in a picture using machine learning API.
Repositório do projeto apresentado no vídeo "Live de Python e OpenCV - Detecção e Reconhecimento de Faces" do canal Universo Discreto
This GitHub repository contains an implementation of a face detection algorithm using MTCNN (Multi-Task Cascaded Convolutional Networks). MTCNN is a state-of-the-art deep learning-based face detection algorithm that is able to accurately detect faces even in challenging environments, such as low light, occlusions, and various angles.
A simple real-time face detection with face-api.js
Smart 🐉Dragon🐉 which will detect face on image. Give it a try😮
API for face_detection_app project
Serverless web app for streaming browser webcam feed to Amazon Kinesis Video Streams and Rekognition Video. See our post on the AWS Machine Learning Blog: https://aws.amazon.com/blogs/machine-learning/building-automatic-analysis-of-body-language-to-gauge-attention-and-engagement-using-amazon-kinesis-video-streams-and-amazon-ai-services
FACE DETECTION AND ATTENDENC-- Face detection is a computer vision problem that involves finding faces in photos. It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier
Server less face recognition app built with face-api.js and React
Tiny Python program to capture the image and video, and detect faces (in real time) powered by OpenCV.
The purpose of this Android app is to utilize the Microsoft Face API to not only detect individual faces in an image, but also for each face provide information such as emotions, the estimated age, gender, and more. Possible applications for this app are at amusement parks, classrooms, and residential homes.
This is a more faster and efficient and updated face authentication system.
An Open Source VTuber Software for Awesome Streamer
Website for face detection from image (using HOG + SVM framework)
A demo app for various Firebase ML-Kit vision functionalities 🕵️♀️
Python kullanarak OpenCV ile yüz ve göz tanıma işlemlerini yapma
Here I am trying to build a motion detector and Face Detection Application , Do check might be interesting
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