There are 3 repositories under dlib-face-detection topic.
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
Attendance Management system using face recognition.
Real-time facial landmarks detection / 摄像头人脸检测并进行特征点标定
Face detection and recognition using golang
A Face Recognition Attendance System based on facial recognition built using Dlib library, OpenCV and Flask.
Dlib/dlib compiled from source for Python 3.9
SoftwarePilot is an open source software suite to support aerial systems. SoftwarePilot allows users to connect consumer DJI drones to programmable Java routines that include access to computer vision and deep learning software packages like OpenCV, DLIB, and Tensorflow.
HoloLens With DlibFaceLandmarkDetector Example (Support for Hololens1 and Hololens2)
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.
Simple web-service for swaping faces on photos with crowds of people, using opencv and dlib
Obtain the camera image with aforge.net and detect the face with dlibdotnet
Facial Mask Overlay with OpenCV Dlib
Sift based face recognition
영상처리AI를 활용한 외적 군기 디텍팅 솔루션
Apply face stabilization with Python
A drowsiness monitoring system for drivers.
Transform eyes into special Naruto forms using Dlib
Lip color swap with Dlib and hair color swap using a pre-trained convolutional network.
Build automation for the dlib project
Driver drowsiness is one of the causes of traffic accidents. According to the statistics; highway road crashes hold 11.09% of the total number of accidents. There are several reasons of drowsy driving such as: a lack of quality of sleep, may be overnight driving or having sleep disorders e.g. sleep apnea. However; all people should know that: People can not fight against to sleep. Using Image Processing and both classical and new-brand Machine Learning techniques, we are trying to know beforehand the driver's drowsiness and warning him/her with an alert before any crash happened.
Repositório do projeto apresentado no vídeo "Live de Python e OpenCV - Detecção e Reconhecimento de Faces" do canal Universo Discreto
Using OpenCV and dlib to swap the faces of two people
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 repository for learning virtual characters synchronizing technique
A tool to detect and replace the human face in photo/video with a comic face. You can branch it to a Zoom session.
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.
A hackathon project that dynamically detects the engagement level of students based on eye aspect ratio (EAR).
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 Face Recognition Attendance System based on facial recognition built using Dlib library, OpenCV and Flask.
An IOT cum Android based project to ensure the safety of car drivers by detecting drowsiness, detecting accident notifying all the nearby hospitals and gps tracking where owners can track their car even after being stolen through their app.
Rate Faces based on Golden Ratio
A service that processes images to align detected faces, and return the aligned face as a base64-encoded string.