System and method for recognizing posture of single pig body based on stacked hourglass network
A recognition method and recognition system technology, applied in the field of single pig body gesture recognition system, can solve problems such as large manpower and wrong judgment.
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Embodiment 1
[0029] As an aspect of the embodiment of the present invention, this embodiment provides a single pig body posture recognition system based on stacked hourglass network, refer to figure 1 , shows a schematic structural diagram of the single pig body posture recognition system based on the stacked hourglass network of the present invention, the system includes a data set processing module, a pig body posture estimation module based on the stacked hourglass network, and a pig body posture recognition module. Among them, the data set processing module 1 is used to establish an available pig body posture data set; the pig body posture estimation module 2 based on the stacked hourglass network is used for different selections according to the set model training parameters and model frameworks (based on different hourglass models). The connection mode between the structures and the hourglass structure participating in the connection) are used for training operations, and the trained ...
Embodiment 2
[0034] As another aspect of the embodiment of the present invention, this embodiment provides a single pig posture recognition method based on stacked hourglass network, refer to figure 2 , shows a flowchart of a single pig body posture recognition method using the stacked hourglass network-based single pig body posture recognition system of the present invention.
[0035] The first is the data preprocessing process. This step requires that the image data contains only one pig and is located in the middle of the image as far as possible, and that it is acquired through the side view angle as much as possible. The image data set is composed of image and video data obtained by manual use of SONY SELP1650 (25fps) equipment (resolution 1920×1080) and images obtained by web crawler technology. The video data needs to be divided into video frames Processing (set the unit interval to 1s) and structural similarity analysis, and manually screen the images obtained directly and throug...
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