Model training method, human body identification method, device and apparatus, 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: 2018-12-11
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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[0003] However, in the prior art, the detection accuracy of the human body area or human body part area in the image is low
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[0034] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.
[0035] The model training method provided by the present invention aims to solve the above technical problems in 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 may be combi...
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The embodiment of the invention provides a model training method, a human body identification method, device and apparatus and a storage medium. The method comprises the following steps: acquiring a sample image for training a human body recognition model; determining a second feature map corresponding to each first convolution layer according to a first feature map output from each first convolution layer when the sample image is processed by the plurality of first convolution layers sequentially; detecting a human body region or a human body part region in the sample image according to a second characteristic map corresponding to each first convolution layer and a preset frame corresponding to a second convolution layer connected to the second loss layer in a branch of each first convolution layer; determining the parameters of the human body recognition model according to the detected human body region or human body part region and the human body region or human body part region labeled in the sample image. The embodiment of the invention improves the detection accuracy of the human body area or the human body part area.
Description
technical field [0001] The embodiments of the present invention relate to the field of computer technology, and in particular to a model training method, a human body recognition method, a device, a device, and a storage medium. Background technique [0002] In the prior art, a human body may be included in a video or an image captured by a shooting device, and sometimes it is necessary to determine a human body area or a human body part area in the image. [0003] However, in the prior art, the detection accuracy of the human body region or human body part region in the image is relatively low. Contents of the invention [0004] 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 region or a human body part region. [0005] In a first aspect, an embodiment of the present invention provides a model training method, including:...
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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