MediaPipe-Pose-Estimation

简介

Detect and track human face, hand, and torso in real‑time images and video streams.
The MediaPipe Pose Landmark Detector is a machine learning pipeline that predicts bounding boxes and pose skeletons of the face, hands, and torso in an image.

效果视频

规格与下载

技术细节

Input resolution:256x256
Number of parameters (PoseDetector):815K
Model size (PoseDetector) (float):3.14 MB
Number of parameters (PoseLandmarkDetector):3.36M
Model size (PoseLandmarkDetector) (float):12.9 MB

应用领域

Accessibility
Augmented Reality
ARVR

授权信息

Source Model: APACHE-2.0
Deployable Model: AI-HUB-MODELS-LICENSE