This is the Linux app named Face Recognition to run in Linux online whose latest release can be downloaded as v1.2.2.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Face Recognition to run in Linux online
DESCRIPTION
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning.Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. It could even do real-time face recognition and blur faces on videos when used with other Python libraries.
Features
- Finding faces in an image (directly or via deep learning)
- Finding faces in a large number of images w/ GPU (through deep learning)
- Blurring all the faces in a live video from your webcam (OpenCV installation required)
- Identifying specific facial features in an image
- Digital make-up application
- Locating and recognizing unknown faces in a picture based on previous pictures of people already known
- Locating persons in a photo and drawing boxes around each
- Face comparison through numeric face distance instead of just True/False matches
- Recognizing faces in a live video from your webcam - Simple / Slow Version or Fast Version (OpenCV installation required)
- Face recognition in a video file, and writing out a new video file (OpenCV installation required)
- Face recognition on a Raspberry Pi w/ camera
- Running a web service to identify faces via HTTP (Flask installation required)
- Recognizing faces with a K-nearest neighbors classifier
- Training multiple images per person, and then recognizing those faces through an SVM
Programming Language
Python
This is an application that can also be fetched from https://sourceforge.net/projects/face-recognition.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
