Target recognition method and device and electronic equipment
A technology for target recognition and to-be-recognized, applied in the field of image processing, can solve problems such as complex neural network structure, inability to meet target detection, long time-consuming target recognition, etc., and achieve the effect of small amount of calculation and simple model structure
Inactive Publication Date: 2020-05-15
重庆紫光华山智安科技有限公司
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That is to say, in order to accurately identify the target in the picture or video, the existing neural network structure is usually very complex and requires a lot of calculations, which will lead to a long process of target recognition and cannot meet the needs of target detection.
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[0045] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.
[0046] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art w...
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The embodiment of the invention provides a target recognition method and device and electronic equipment, and relates to the field of image processing. The method comprises the steps of obtaining a to-be-identified image, inputting the to-be-recognized image into a pre-trained target recognition model, wherein the target identification model comprises a first detail information extraction module,a second detail information extraction module and a first YOLO identification module, extracting first-level detail information of the to-be-identified image by utilizing the first detail informationextraction module, inputting the first-level detail information into the second detail information extraction module for feature extraction to obtain second-level detail information, and inputting thesecond-level detail information into the first YOLO identification module for target identification to obtain a first identification result. Due to the fact that the first recognition result of the image to be recognized can be obtained after target recognition is conducted on the image to be recognized through the three modules, the model structure is simple, the operand is small, the recognition duration of target recognition can be shortened, and the recognition accuracy is guaranteed.
Description
technical field [0001] The present application relates to the field of image processing, in particular, to a target recognition method, device and electronic equipment. Background technique [0002] With the development of computer technology and neural network technology, more and more people use neural network models for target recognition. At present, it is usually based on a trained neural network structure to identify a target object that meets preset characteristics from a video or a picture. [0003] Due to different pictures, the recorded information is almost different. Taking the recognition of the person recorded in the picture as an example, the size of the person recorded in different pictures, the occlusion situation, the light intensity in the environment and the weather conditions are usually different. , in order to achieve the purpose of accurately identifying objects from pictures or videos, people have to use complex neural network structures to perform ...
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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/52G06V2201/07G06N3/045
Inventor 姜恒
Owner 重庆紫光华山智安科技有限公司