This is a multi-person 2D pose estimation network based on the EfficientHRNet approach (that follows the Associative Embedding framework). For every person in an image, the network detects a human pose: a body skeleton consisting of keypoints and connections between them. The pose may contain up to 17 keypoints: ears, eyes, nose, shoulders, elbows, wrists, hips, knees, and ankles.
|Average Precision (AP)||44.4%|
Average Precision metric described in COCO Keypoint Evaluation site.
input, shape: [1x3x288x288]. An input image in the [BxCxHxW] format , where:
The net outputs three blobs:
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