
Security News
Open Source CAI Framework Handles Pen Testing Tasks up to 3,600× Faster Than Humans
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.
pip install happy_face
from happy_face.happy_face import HappyFace
tiger_woods = HappyFace(known_person_path_file= '/Users/Desktop/tiger.png',
unknown_images_path_file = '/Users/Desktop/unknown_pictures',
known_name= 'Tiger Woods')
tiger_woods.display_known_im() #Will display the image
tiger_woods.detects_known_face() #Will detect the face of (in this case) Tiger Woods
tiger_woods.detects_unknown_faces() #Will detect all the faces provided of the unknown people
tiger_woods.recognize_faces() -- # Will recognize either the person is tiger woods or a stranger
from happy_face.happy_face import HappyFace
# Instantiate a variable to HappyFace and provide YOUR path file to the image and folder
tiger_woods = HappyFace(known_person_path_file='/Users/Desktop/tiger.png',
unknown_images_path_file='/Users/Desktop/unknown_pictures',
known_name='Tiger Woods')
# Execute
tiger_woods.recognize_faces()
FAQs
Recognize and detect faces in an extremely easy way
We found that happy-face demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.
Security News
Deno 2.4 brings back bundling, improves dependency updates and telemetry, and makes the runtime more practical for real-world JavaScript projects.
Security News
CVEForecast.org uses machine learning to project a record-breaking surge in vulnerability disclosures in 2025.