The library is used to detect posture of the human body. It is
represented by a array of 17 joint points. Joint points are arranged in the
following
order.
0: 'nose', 1: 'left_eye', 2: 'right_eye', 3: 'left_ear', 4: 'right_ear',
5: 'left_shoulder', 6: 'right_shoulder', 7: 'left_elbow', 8: 'right_elbow',
9: 'left_wrist', 10 : 'right_wrist', 11: 'left_hip', 12: 'right_hip',
13: 'left_knee', 14: 'right_knee', 15: 'left_ankle', 16: 'right_ankle'This network can only detect for one person and the input of this network is 192x192.
Note: Use a square picture for input. To detect
pictures with other size ratios, use a network with the same input size
ratio.
The following table lists the Movenet detection models supported by the Vitis AI Library.
| No | Model Name | Framework |
|---|---|---|
| 1 | movenet_ntd_pt | PyTorch |