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Model training method, human body recognition method, device, equipment and storage medium

A technology for human body recognition and model training, applied in the computer field, can solve problems such as low detection accuracy, and achieve the effect of improving detection accuracy

Active Publication Date: 2020-07-28
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, in the prior art, the detection accuracy of the human body area or human body part area in the image is low

Method used

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  • Model training method, human body recognition method, device, equipment and storage medium
  • Model training method, human body recognition method, device, equipment and storage medium
  • Model training method, human body recognition method, device, equipment and storage medium

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Embodiment Construction

[0034] The exemplary embodiments will be described in detail here, and examples thereof are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. Rather, they are only examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0035] The model training method provided by the present invention aims to solve the above technical problems of the prior art.

[0036] The technical solution of the present invention and how the technical solution of the present application solves the above technical problems will be described in detail below with specific embodiments. The following specific embodiments can be co...

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Abstract

Embodiments of the present invention provide a model training method, a human body recognition method, a device, a device, and a storage medium. The method includes: acquiring a sample image for training a human body recognition model; when the sample image is sequentially processed by the plurality of first convolutional layers, according to the first feature map output by each first convolutional layer, determine the The second feature map corresponding to each first convolutional layer; according to the second feature map corresponding to each first convolutional layer, and the branch derived from each first convolutional layer is related to the second The preset frame corresponding to the second convolutional layer connected by the loss layer detects the human body area or human body part area in the sample image; according to the detected human body area or human body part area, and the marked human body area or human body area in the sample image The human body part area is used to determine the parameters of the human body recognition model. The embodiment of the present invention improves the detection accuracy of the human body region or the human body part region.

Description

Technical field [0001] The embodiments of the present invention relate to the field of computer technology, in particular to a model training method, a human body recognition method, device, equipment, and storage medium. Background technique [0002] In the prior art, a video or image shot by a shooting device may include a human body, and sometimes it is necessary to determine the human body area or the human body part area in the image. [0003] However, in the prior art, the detection accuracy of the human body area or the human body part area in the image is low. Summary of the invention [0004] The embodiments of the present invention provide a model training method, a human body recognition method, a device, a device, and a storage medium, so as to improve the detection accuracy of a human body area or a human body part area. [0005] In the first aspect, an embodiment of the present invention provides a model training method, including: [0006] Obtain sample images for train...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/10G06V10/40G06F18/253
Inventor 李旭斌王健亢乐刘泽宇迟至真张成月文石磊包英泽陈明裕丁二锐刘霄孙昊
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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