Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Object analysis method and device and storage medium

An object analysis and target object technology, applied in the computer field, can solve the problem that the target detection algorithm cannot achieve speed and accuracy, and improve at the same time, and achieve the effect of improving the sensitivity of identifying targets of different scales, improving the accuracy, and speeding up the inference time.

Active Publication Date: 2021-07-23
SUZHOU KEDA TECH
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides an object analysis method, device and storage medium, which can solve the problem that the existing target detection algorithm cannot achieve simultaneous improvement of speed and accuracy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Object analysis method and device and storage medium
  • Object analysis method and device and storage medium
  • Object analysis method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The specific implementation manners of the present application will be further described in detail below in conjunction with the drawings and embodiments. The following examples are used to illustrate the present application, but not to limit the scope of the present application.

[0049] First, some terms involved in this application are introduced.

[0050] Center-based detection network (CenterNet): is an end-to-end object detector. Object detection requires the detection of the smallest rectangular box containing an object. Traditional object detectors usually list and classify a large number of candidate boxes. And CenterNet locates the target to be detected to a point, that is, the center point of the detection rectangle. In other words, in CenterNet, each center point corresponds to the position of a target, and there is no need to judge the overlapping of rectangular boxes. The speed and efficiency of target detection are higher than those of traditional targ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an object analysis method and device and a storage medium, and belongs to the technical field of computers. The method comprises the steps: acquiring a target image; inputting the target image into a pre-trained image recognition model to obtain an object analysis result of the target image, wherein the object analysis result includes target object position information, target object key point information and target object attribute information; therefore, the problem that an existing target detection algorithm cannot realize simultaneous improvement of speed and accuracy can be solved. Information contained in the obtained feature layer is richer and more comprehensive by using a fusion mode, and the detection accuracy is improved while the sensitivity of identifying targets of different scales is improved; the reasoning time of the fusion part of the feature layer can be shortened by using the depth separable convolution; by integrating the attribute analysis function, one model has three functions of target detection, key point prediction and attribute output at the same time, the video memory occupancy rate of the three functions is reduced, and the running speed of the model in the system is also improved.

Description

【Technical field】 [0001] The present application relates to an object analysis method, device and storage medium, belonging to the technical field of computers. 【Background technique】 [0002] With the development of artificial intelligence technology, more and more target detection algorithms have emerged. Such as anchor-free series algorithms, etc. [0003] The anchor-free series algorithm avoids the preset of the anchor box, reduces a lot of related calculations, and significantly improves its memory usage and speed. Moreover, there is no presetting of the anchor frame, and the prediction frame returns the target position within the entire feature map range, which is suitable for the detection of target objects of various shapes and sizes. [0004] However, the existing target detection algorithm will reduce the accuracy of the algorithm while improving the speed of the algorithm, resulting in the problem of inaccurate target detection results. 【Content of invention】 ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214
Inventor 丁鑫肖潇付马孟祥昊
Owner SUZHOU KEDA TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com