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Deep learning real-time target detection method based on embedded device

An embedded device and target detection technology, which is applied in the field of target detection to achieve the effects of improving detection accuracy, improving detection efficiency and accuracy, and improving application universality

Pending Publication Date: 2022-04-29
CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is: how to run the deep learning target detection algorithm of the complex network in real time on the embedded device

Method used

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  • Deep learning real-time target detection method based on embedded device
  • Deep learning real-time target detection method based on embedded device
  • Deep learning real-time target detection method based on embedded device

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Embodiment Construction

[0060] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are part of the present invention Examples, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0061] The embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings in the embodiments of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided. The present invention The s...

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Abstract

The invention provides a deep learning real-time target detection method based on embedded equipment. The deep learning real-time target detection method based on the embedded equipment comprises the following steps: initializing the Shijiang embedded equipment; a used embedded device is arranged; loading the offline model file on the embedded device; initializing model configuration; obtaining the memory size of input and output data, and allocating memory specified space for the input data and the output data of the embedded device; copying the image data to the embedded equipment from the CPU; issuing the reasoning task to a queue, and executing the reasoning task; and a calculation result is copied to the CPU from the embedded device. According to the method, the excellent image processing capability and the powerful computing power of the ShiWu embedded equipment are utilized, the YOLOV3 target detection algorithm is combined, the camera data are decoded in real time, the target object in the video image is detected and analyzed in real time, the detection efficiency is greatly improved, and the cost is reduced.

Description

technical field [0001] The invention relates to the technology in the field of target detection, in particular to a deep learning real-time target detection method based on an embedded device. Background technique [0002] The main task of object detection is to use image processing and other means to find out all the objects of interest in the image, and determine their categories and positions, which is one of the core issues in the field of computer vision. Object detection has always been the most challenging problem in the field of computer vision due to the different appearance, shape and posture of various objects, coupled with the interference of factors such as illumination and occlusion during imaging. [0003] In recent years, with the rapid development of deep learning technology, deep learning technology has gradually been applied in the field of target detection, and has gained huge application value. Compared with the traditional target detection algorithm, t...

Claims

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Application Information

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IPC IPC(8): G06V20/40G06V20/52G06V10/774G06V10/82G06K9/62G06F9/50G06T1/20G06N3/04G06N3/08
CPCG06F9/5016G06F9/5027G06T1/20G06N3/04G06N3/08G06F18/214Y02D10/00
Inventor 刘海涛甘彤张琦珺商国军杨利红程剑房思思任好卢安安王崇海唐亮凌虎刘正丽
Owner CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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