MOD_FaceRecognition

Brought to you by: phreak87

Downloads: 0 This Week

Last Update: 2014-04-22

Get an email when there's a new version of MOD_FaceRecognition

Face Detection and Recognition over Commandline. simply move the detected Faces into the folder 'faces' and Faceregocgnition will show the name in a Commandline Window.
Using Blob-Detection for better CPU-load.
FaceDetection uses Eigen, Fisher and LBPHF.
Part of EVAGui2 Project

Project Activity

See All Activity >

Follow MOD_FaceRecognition

MOD_FaceRecognition Web Site

Other Useful Business Software

MongoDB Atlas runs apps anywhere Icon

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Rate This Project

Login To Rate This Project

User Reviews

Be the first to post a review of MOD_FaceRecognition!

Additional Project Details

Registered

2014-04-22

Report inappropriate content

Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.

Create free account

Recommended Projects

SNFaceCrop, face detection and cropping
SNFaceCrop, face detection and cropping software
Facetrak Facial recognition
This program broken The program is a real-time face detection application built using OpenCV and Tkinter. It allows you to detect faces using your webcam and displays the video feed with rectangles drawn around the detected faces. When you run the program, a GUI window will appear. The window has a title "Real-time Face Detection" and a description below it. The description guides you to adjust the settings and click the "Start" button to begin face detection. The settings section provides two adjustable parameters: Scale Factor: It is represented by a slider. You can modify the scale factor by moving the slider. The scale factor controls the size of the image pyramid used for face detection. Higher values increase the chance of detecting smaller faces. Min Neighbors: It is also represented by a slider. You can adjust the minimum number of neighboring rectangles required for a region to be considered as a face. Higher values increase reliability but may miss some faces.
Face Recognition
World's simplest facial recognition api for Python & the command line
MediaPipe Face Detection
Detect faces in an image
SFD
S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017