Face detection and re-identifaction of people from a videostream
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Updated
Oct 18, 2019 - Python
Face detection and re-identifaction of people from a videostream
Detect multiple faces using mtcnn and align each face using a modified version of the HOG face alignment class.
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.
Repositories Collections on face detection and alignment with mtcnn
Face recognition toolkit.
Deep Learning framework for mask detection
Facial Recognition Program for detecting faces in a video-stream using a custom folder of faces.
MTCNN로 얼굴을 탐지하고 OpenCV로 얼굴을 인식해 실시간 모자이크 시스템을 구축한다.
Face recognition using one shot learning.
Reconocimiento facial con deep learning y python.
Mtcnn->思维导图->开发步骤->成品->效果图
This is FUTURE 2.0! Now even a single picture of your face can predict your BMI without knowing your height & weight. Not even a single face, multiple faces can be deteced in a single pisture to predict the AGE, SEX & BMI of all the visible faces on that picture. Isn't that futuristic?
adversarial patch train by I-FGSM to attack on MTCNN face detection system
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