A face mask detection using ssd with simplified Mobilenet and RFB in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
• Programed a LBPH facial recognition classifier that detects a face in an image, predicts and labels the name of the subject, and outputs the corresponding prediction confidence level • Incorporated machine learning and OpenCV in Python
Foreign language reading and translation assistant based on copy and translate.
This is a simple face recognition project using Python OpenCV, made to help some friends at work.
Face recognition for attendance system using local binary patterns algorithm.
Face Detection & Recognition Based Attendence System
1、结合opencv，利用特征提取方法（LDA LBP PCA）进行特征提取建立模型库；2、利用电脑摄像头进行拍照，每隔3秒提取一个正面照进行特征提取，然后与模型库中的样本进行余弦距离相似度计算，实现人脸匹配识别
