This library is used to detect posture of the human body. This library includes a neural network which can mark 14 key points of the human body (you can use our SSD detection library). The input is a picture that is detected by the pedestrian detection neural network. The output is a structure containing coordinates of each point .
The following image shows the result of pose detection.
Figure 1. Pose Detection Example
The following table shows the pose detection model supported by the AI Library.
| No | Model Name | Framework |
|---|---|---|
| 1 | sp_net | Caffe |
Note: If the input
image is arbitrary and the user does not know the exact location of the person, we must
perform the SSD detection first. See the test_jpeg_posedetect_with_ssd.cpp file. If the input picture is the
picture of the person who has been cut out, you can only perform pose detection. See the
test_jpeg_posedetect.cpp file.