Recognize and manipulate faces from Python or from the command line with the world’s simplest face recognition library.
Built using dlib‘s state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.
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) Get the locations and outlines of each person’s eyes, nose, mouth and chin.
import face_recognition
image = face_recognition.load_image_file("your_file.jpg")
face_landmarks_list = face_recognition.face_landmarks(image) For more information click here.
Both git fetch and git pull talk to a remote repository, but they do very different things to your…
Sometimes the change you need already exists, just on the wrong branch. A hotfix lands…
Email is still one of the most important communication channels inside modern applications. Password resets,…
Nginx is a high-performance web server and reverse proxy trusted by some of the largest…
ufw (Uncomplicated Firewall) sits on top of iptables (or nftables on newer systems) and replaces…
When you share a server with a team or investigate unexpected activity, the first question…