Installing on Raspberry Pi 2+ Raspberry Pi 2+ installation instructions Installing on FreeBSD pkg install graphics/py-face_recognition Installing on Windows While Windows isn't officially supported, helpful users have posted instructions on how to install this library: Windows 10 installation guide (dlib + face_recognition) Installing a pre-configured Virtual Machine image Download the pre-configured VM image (for VMware Player or VirtualBox). There is current a bug in the CUDA libraries on the Jetson Nano that will cause this library to fail silently if you don't follow the instructions in the article to comment out a line in dlib and recompile it. Installing on an Nvidia Jetson Nano board Jetson Nano installation instructions Please follow the instructions in the article carefully. If you are having trouble with installation, you can also try out a pre-configured VM. This also provides a simple face_recognition command line tool that lets you do face recognition on a folder of images from the command line! import face_recognition image = face_recognition.load_image_file("your_file.jpg") face_locations = face_recognition.face_locations(image) Installation Requirements Python 3.3+ or Python 2.7 macOS or Linux (Windows not officially supported, but might work) Installation Options: Installing on Mac or Linux First, make sure you have dlib already installed with Python bindings: How to install dlib from source on macOS or Ubuntu Then, install this module from pypi using pip3 (or pip2 for Python 2): pip3 install face_recognition Alternatively, you can try this library with Docker, see this section.
The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.
Built using dlib's state-of-the-art face recognition built with deep learning. GitHub - gujralsanyam22/FACE-RECOGNITION: Recognize and manipulate faces from Python or from the command line with the world's simplest face recognIition library.