Pet behavior detection method and device, electronic equipment and storage medium
A detection method and pet technology, applied in the fields of electronic equipment and storage media, devices, and pet behavior detection methods, can solve the problems of understanding pet behavior habits, pets not being well cared for, and unable to help users, etc.
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Embodiment 1
[0074] figure 1 It is a schematic diagram of a pet behavior detection process provided by an embodiment of the present invention. The process includes the following steps:
[0075] S101: Acquire each first image from the surveillance video at a preset frame rate.
[0076] The pet behavior detection method provided in the embodiments of the present invention is applied to electronic devices, which include PCs, tablet computers and other devices, and the electronic devices may also be video surveillance devices. The video surveillance device is used to collect the surveillance video of the pet. If the electronic device is a video surveillance device, after the video surveillance device collects the surveillance video of the pet, it obtains each first image from the surveillance video according to a preset frame rate. If the electronic device is a PC, tablet computer, etc., after the video surveillance device collects the pet's surveillance video, it sends the surveillance video to th...
Embodiment 2
[0085] In order to make it easier and more accurate to determine the position information of the pet sub-image in each first image, on the basis of the above-mentioned embodiment, in the embodiment of the present invention, said determining the pet sub-image in each first image The location information includes:
[0086] Each of the first images is input into a pre-trained target detection model, and the position information of the pet sub-image in each of the first images is determined based on the target detection model.
[0087] The electronic device stores a pre-trained target detection model, and the function of the target detection model is to perform related processing on the input image and output the position information of the pet sub-image in the image.
[0088] There may be multiple pets in the first image. In order to detect the behavior of each pet, in the embodiment of the present invention, when the number of pets contained in each first image is at least two, the Th...
Embodiment 3
[0097] In order to make determining the pet's posture information in each pet sub-image more convenient and accurate, on the basis of the foregoing embodiments, in the embodiment of the present invention, determining the pet's posture information in each pet sub-image includes:
[0098] Each pet sub-image is input into a pre-trained posture detection model, and the posture information of the pet in each pet sub-image is determined based on the posture detection model.
[0099] The electronic device stores a pre-trained posture detection model, and the role of the posture detection model is to perform related processing on the input image and output the posture information of the pet in the image.
[0100] The training process of the pose detection model includes:
[0101] For each pet sample image in the second sample set, the pet sample image and the second annotation image corresponding to the pet sample image are input to the pose detection model, and the pose detection model is tra...
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