This is a multi-person 2D pose estimation network (based on the OpenPose approach) with tuned MobileNet v1 as a feature extractor. It finds a human pose: body skeleton, which consists of keypoints and connections between them, for every person inside image. The pose may contain up to 18 keypoints: ears, eyes, nose, neck, shoulders, elbows, wrists, hips, knees and ankles.
|Average Precision (AP)||42.8%|
Average Precision metric described in COCO Keypoint Evaluation site.
Tested on a COCO validation subset from the original paper: Cao et al. "Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields".
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