Detect multiple faces using mtcnn and align each face using a modified version of the HOG face alignment class.
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Updated
Jul 31, 2022 - Jupyter Notebook
Detect multiple faces using mtcnn and align each face using a modified version of the HOG face alignment class.
MTCNN로 얼굴을 탐지하고 OpenCV로 얼굴을 인식해 실시간 모자이크 시스템을 구축한다.
Face recognition using one shot learning.
Reconocimiento facial con deep learning y python.
Face recognition toolkit.
Deep Learning framework for mask detection
DeepFake Detection for Face images
Facial Recognition Program for detecting faces in a video-stream using a custom folder of faces.
This is the implementation of my BSc project. A software that can group pictures based on the identity of the people in them.
Face detection web application. This application allows multiple users simultaneously to upload images for face detection performed by MTCNN model. The system outputs the predicted faces by sending JSON message from the server to the client with bounding boxes coordinates. Operations are asynchronous without the need to reload the webpage.
Go package for computer vision using OpenCV 3+ and beyond.
MTCNN face detection and alignment tools
This is a simple python program to detect human face with MTCNN and CV
Implemented multiple face detection algorithms to accurately count and save recognized faces in a designated folder, enhancing detection accuracy. Integrated ShuffleNet and MTCNN successfully. Developed intelligent graphics for project analysis in Excel. Implemented facial recognition using PCA and Eigenfaces for dataset matching.
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