Identify and visualize face landmarks in images
Detect if an image shows a live person
3D Passive Face Liveness Detection (Face Anti-Spoofing)
Replace faces in videos with new ones
Find and highlight face landmarks in images
Swap faces in a video using an image
Detect and visualize facial landmarks from a live video feed
3D Passive Face Liveness Detection (Face Anti-Spoofing)
Block out underage faces in real-time video
Identify faces in uploaded images
Distinguish between cat and dog faces
Classify beauty in images using a YOLO model
Analyze and compare faces for attributes and liveness
Mediapipe Face Mesh is a machine learning framework developed by Google that allows users to identify and visualize face landmarks in images and video streams. It is part of the MediaPipe framework, which provides a cross-platform, customizable, and extensible way to build machine learning pipelines for various applications. The Face Mesh solution is particularly designed for facial feature detection, enabling applications such as facial analysis, AR effects, and more.
pip install mediapipe
What platforms does MediaPipe Face Mesh support?
Does MediaPipe Face Mesh require a GPU for processing?
How many facial landmarks does MediaPipe Face Mesh detect?