Finding Tiny Faces in PyTorch
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Updated
May 27, 2024 - Python
Finding Tiny Faces in PyTorch
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
A demo app for various Firebase ML-Kit vision functionalities 🕵️♀️
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.
Server less face recognition app built with face-api.js and React
It is a face recognition system using mtcnn and arcface in pytorch
Repositório do projeto apresentado no vídeo "Live de Python e OpenCV - Detecção e Reconhecimento de Faces" do canal Universo Discreto
Offloading matrix operations, face detection, and face recognition applications from a PandaBoard device (i.e. client device) to a server (i.e. server desktop computer)
Python kullanarak OpenCV ile yüz ve göz tanıma işlemlerini yapma
An Open Source VTuber Software for Awesome Streamer
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
Facial Keypoint Detection and Real-time Filtering
Face/Expression/Age detection through webcam in browser.
Face Detection Application written in C++ using OpenCV
A simple real-time face detection with face-api.js
Website for face detection from image (using HOG + SVM framework)
Face recognition app, where you will insert your photo and face will be detected.
Detect faces on Steam store/library banners.
Play different music using your expressions. Currently supported expressions are Happy and Sad. Based on face-api.js
Image recognition app which can recognize human faces in a picture using machine learning API.
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