A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
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Updated
Jun 4, 2024 - Python
A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
This project is an attendance system that uses face detection technology to track and record attendance. It is designed to provide a more efficient and accurate method of attendance tracking, reducing the need for manual input and minimizing errors.
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
Facial Recognition Program for detecting faces in a video-stream using a custom folder of faces.
A Gradio-based web application that detects whether an image is a deepfake. The application uses a pre-trained InceptionResnetV1 model from the facenet_pytorch library for face recognition, and pytorch-grad-cam for visual explainability.
FaceRecognition with MTCNN using ArcFace
AI based security system!
A lightweight python implementation of face alignment with MTCNN landmarks using tensorflow-lite runtime
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 。
Utilizing the DeepFace Library, informed by a dataset of 4M images across 4K identities curated by Facebook researchers, My 'Two Faces✌🏻' project gauges facial similarity with precision.
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
yolov7 face detection with landmark
yolov8 face detection with landmark
Image classification using machine learning
DeepFake Detection for Face images
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