MVIG-SJTU/AlphaPose

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

8596 stars · 2027 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

AlphaPose is an open-source real-time multi-person full-body pose estimation and tracking system built on PyTorch. It detects human keypoints (including face, hand, and foot) in images and videos and tracks poses across frames with its PoseFlow online tracker.

Use cases

• estimate human pose keypoints in images and videos
• track multiple people's skeletons across video frames in real time
• detect whole-body keypoints including face, hands, and feet
• analyze human motion for fitness or sports applications
• build gesture or human-computer interaction systems
• run pose estimation on crowded scenes with occlusion

When to choose

• you need accurate multi-person 2D pose estimation with pretrained models
• you need real-time pose tracking in video on GPU hardware
• you need whole-body keypoints (body, face, hands, feet) in one system

When to avoid

• you need 3D pose estimation as the primary feature (only limited HybrIK support)
• you need a CPU-only lightweight solution
• you need a maintained library with frequent updates and broad community support

Facets

library · maturity maintenance

computer-vision image-processing video-processing machine-learning deep-learning computer-vision image-processing machine-learning artificial-intelligence windows python pose-estimation pose-tracking keypoint-detection human-pose multi-person pytorch realtime whole-body skeleton-tracking poseflow video linux gpu

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markdown · JSON · MCP: product_card(name="MVIG-SJTU/AlphaPose")