Detect and track human body poses 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 poses in an image.
SC8380
推理时间： 964 μs
内存占用： 0 MB
NPU使用： 138 NPU
Input resolution:256x256
Number of parameters (MediaPipePoseDetector):815K
Model size (MediaPipePoseDetector):3.14 MB
Number of parameters (MediaPipePoseLandmarkDetector):3.37M
Model size (MediaPipePoseLandmarkDetector):12.9 MB
Accessibility
Augmented Reality
ARVR
SC8380
Source Model: APACHE-2.0
Deployable Model: AI Model Hub License