Target detection method and device, computer equipment, storage medium and program product

A target detection and target frame technology, applied in the fields of image processing, computer vision, and artificial intelligence, can solve the problems of low target detection accuracy and applicability, and achieve the effect of improving robustness and accuracy.

Pending Publication Date: 2022-04-12
TENCENT TECH (SHENZHEN) CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a target detection method, device, computer equipment, storage medium and program product, which can solve the problems of low accuracy and applicability of target detection in related technologies

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
  • Target detection method and device, computer equipment, storage medium and program product
  • Target detection method and device, computer equipment, storage medium and program product
  • Target detection method and device, computer equipment, storage medium and program product

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Embodiments of the present application are described below with reference to the drawings in the present application. It should be understood that the implementation manner described below in conjunction with the accompanying drawings is an exemplary description for explaining the technical solutions of the embodiments of the present application, and does not limit the technical solutions of the embodiments of the present application.

[0029] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the terms "comprising" and "comprising" used in the embodiments of the present application mean that the corresponding features can be implemented as the presented features, information, data, steps, operations, elements and / or components, but do not exclude The realization is other features, information, data, steps, operations, elemen...

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 provides a target detection method and device, computer equipment, a storage medium and a program product, and relates to the technical fields of computer vision, image processing, artificial intelligence and the like. The method comprises the following steps: segmenting a to-be-detected image to obtain at least two slices, and extracting pixel point features and pixel point context features of each slice through a feature extraction layer to obtain at least two feature maps; detecting the feature map to obtain defect information of the slices; the feature extraction layer comprises a target network layer used for performing pixel point feature extraction on the slices, through the target network layer, down-sampling operation is omitted when the pixel point features of the slices are directly extracted, detail features of an original image are reserved, and even if small targets in a small area range are detected, the small targets can be accurately detected; moreover, a feature extraction layer is also designed to extract pixel point features and pixel point context features, so that the robustness of detection of targets of different sizes is improved, and the accuracy of target detection is further improved.

Description

technical field [0001] The present application relates to technical fields such as computer vision, image processing, and artificial intelligence. The present application relates to a target detection method, device, computer equipment, storage medium, and program product. Background technique [0002] With the development of science and technology, the application of computer vision technology in industrial scenes is increasing. For example, in modern industrial manufacturing, mechanical parts, electronic components and other products produced by industrial assembly lines inevitably have defects. Therefore, in the quality control process, product images are usually used for object detection to identify product defects. [0003] In related technologies, the process of target detection may include: inputting an image of a product into a neural network for detection, so as to output the positions of possible defects in the image. However, usually the neural network cannot sa...

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): G06V10/40G06V10/764G06V10/80G06V10/82G06K9/62G06T7/11G06T7/136G06N3/04G06N3/08
Inventor 刘文龙
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products