Identify faces in input images and match them to known individuals in an image set.
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Updated
Nov 13, 2024 - Python
Identify faces in input images and match them to known individuals in an image set.
A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
A lightweight python implementation of face alignment with MTCNN landmarks using tensorflow-lite runtime
yolov8 face detection with landmark
Face recognition and identity verification using deep learning
This project is aimed at developing a deep learning system that can detect and recognize people who look identical to Bollywood actors. It will use facial features as the basis of comparison for detecting similar features between two people. This system could be used in various applications such as security systems, entertainment platforms, etc.
A repository for KLEOS 2.0
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
yolov7 face detection with landmark
Attendance Using Face Recognisation
A computational explanation for face-learning behaviors by using deep artificial neural networks
Facial Recognition Program for detecting faces in a video-stream using a custom folder of faces.
FaceRecognition with MTCNN using ArcFace
基于MTCNN和MobileFaceNet实现的人脸识别,提供三种预测方式,满足各种需求 。
Generate thumbnails of detected faces in images using Python. This package leverages the MTCNN (Multi-Task Cascaded Convolutional Neural Network) for accurate face detection and OpenCV for image processing.
Pre-processing custom dataset videos for Deepfake Detection
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