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Animal recognition model training method, device and equipment and storage medium

A technology for identifying models and training methods, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of low precision of key point extraction and noise influence, and achieve the effect of improving precision and accuracy

Pending Publication Date: 2020-10-27
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The key point detection method in the related art determines the position of the corresponding key point according to the image feature by identifying the image feature in the image. However, this method of key point extraction based on the image feature is easily affected by the noise in the image. The extraction accuracy of key points is not high

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  • Animal recognition model training method, device and equipment and storage medium
  • Animal recognition model training method, device and equipment and storage medium
  • Animal recognition model training method, device and equipment and storage medium

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Embodiment Construction

[0031] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0032] figure 1 A schematic flow chart of a training method for an animal recognition model provided in the embodiment of the present application, as shown in figure 1 As shown, the method includes:

[0033] Step 101, acquiring an animal sample image, wherein the animal sample image includes a plurality of labeled key points.

[0034] The animal recognition model ...

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Abstract

The invention provides an animal recognition model training method, device and equipment and a storage medium, and relates to the field of artificial intelligence in the technical field of image processing and deep learning, and the method comprises the steps of obtaining an animal sample image which comprises a plurality of marking key points; inputting the animal sample image into an animal identification model to generate a plurality of sample key points; generating a plurality of sample connecting lines according to the plurality of sample key points, and generating a plurality of labelingconnecting lines according to the plurality of labeling key points; generating a first loss value according to the plurality of sample connecting lines and the plurality of label connecting lines; and training the animal identification model according to the first loss value. According to the invention, the accuracy of key point detection can be improved, and the reliability of key point-based application is further improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence in the technical field of image processing and deep learning, and in particular to a training method, device, equipment and storage medium for an animal recognition model. Background technique [0002] With the advancement of image processing technology, scene applications such as the construction of 3D models based on the detection of key points in 2D images are becoming more and more common. Among them, the accuracy of key point extraction will directly affect the prospect of scene applications. [0003] The key point detection method in the related art determines the position of the corresponding key point according to the image feature by identifying the image feature in the image. However, this method of key point extraction based on the image feature is easily affected by the noise in the image. The extraction accuracy of key points is not high. Contents of the in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/214
Inventor 杨少雄赵晨
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD