基于深度学习的驾驶员分心驾驶行为(疲劳+危险行为)预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测
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Updated
Jul 5, 2021 - Python
基于深度学习的驾驶员分心驾驶行为(疲劳+危险行为)预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测
Automated face warping tool.
Real-time facial landmarks detection / 摄像头人脸检测并进行特征点标定
The Pupil Detection AI ML program is used to get the co-ordinates of eyes and detect the pupil region. It only works with human face images.
Sift based face recognition
A drowsiness monitoring system for drivers.
Apply face stabilization with Python
Transform eyes into special Naruto forms using Dlib
Repositório do projeto apresentado no vídeo "Live de Python e OpenCV - Detecção e Reconhecimento de Faces" do canal Universo Discreto
A tool utilize augmented reality (AR) application which allows user to try on lipstick virtually on their static image, along with lipstick recommendation system bases on costumer preference post trial.
Face Blur using haar cascade classifier and dlib.
A repository for learning virtual characters synchronizing technique
This project allows to extract and align faces from an image. Those output images could be used as input for any machine learning algorithm that learn how to recognize faces.
A tool to detect and replace the human face in photo/video with a comic face. You can branch it to a Zoom session.
Welcome to our drowsiness detection project using Python and the powerful dlib library! 😴 This repository hosts a user-friendly implementation to detect drowsiness in real-time using your computer's webcam. Our easy-to-understand Python code utilizes the dlib library's advanced facial landmark detection to monitor facial cues and alert users when
A hackathon project that dynamically detects the engagement level of students based on eye aspect ratio (EAR).
A system for altering facial expressions in images using a Variational Autoencoder
A service that processes images to align detected faces, and return the aligned face as a base64-encoded string.
Face Landmarks Detection and Extraction with Dlib, OpenCV, and Python.
This repository will provide you source code and comparison of face detection with different Modules, like, performance, fps, accuracy etc., with complete Video, with having each video different project with it.
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