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Model
Use the NGC CLI to download:
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| Field | Response |
|---|---|
| Intended Application(s) & Domain(s): | Detects and creates a human body skeleton |
| Model Type: | Body Pose Detection |
| Intended Users: | Developers, data scientists, engineers, and researchers building human-centric pipelines. |
| Output: | Skeleton Graph of 18 Body Keypoints: nose, neck, right shoulder, right elbow, right wrist, left shoulder, left elbow, left wrist, right hip, right knee, right ankle, left hip, left knee, left ankle, right eye, left eye, right ear, left ear. |
| Describe how the model works: | Predicts human skeleton and specific body parts of persons identified in the image. |
| Technical Limitations: | Model may not detect skeletons well for crowded scenes, individuals of different body sizes, like small children or on those with abnormal musculoskeletal systems, individuals that are occluded, or when individuals are in low contrast lighting conditions. |
| Verified to have met prescribed NVIDIA standards: | Yes |
| Performance Metrics: | Intersection Over Union (IoU) |
| Potential Known Risks: | The model may fail to accurately localize a person's joints and joint positions. |
| Licensing: | https://creativecommons.org/licenses/by/4.0/ |