Textile fabric defect detection model and training method and application thereof

A training method and point detection technology, applied in the field of deep learning and computer vision, can solve problems such as low accuracy, poor real-time performance, and lack of versatility, and achieve the effects of improving accuracy, fast detection speed, and improving accuracy
CN108520114AActive Publication Date: 2018-09-11HUAZHONG UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
HUAZHONG UNIV OF SCI & TECH
Publication Date
2018-09-11

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Patent Text Reader

Abstract

The invention discloses a textile fabric defect detection model and a training method and application thereof. The training method includes the steps that sample textile fabric defect images are acquired, a data set is established, and the textile fabric defect detection model is established based on YOLOv2; dimensional clustering is used before the model is trained, when the model is trained, coordinate prediction, loss value calculation and counterpropagation are directly carried out, and current network weight parameters are obtained; network weight parameters of the textile fabric defect detection model are updated through the current network weight parameters, then multiple times of network weight calculation and update are carried out through a training set, optimal network weight parameters are obtained, and accordingly the trained textile fabric defect detection model is obtained; then textile fabric images are acquired in real time, the trained textile fabric defect detectionmodel is used for detection, and defect detection results of the textile fabric images are obtained. The textile fabric defect detection model has the advantages of being high in defect accuracy, highin real-time performance and high in universality.
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Description

technical field

[0001] The invention belongs to the technical field of deep learning and computer vision, and more specifically relates to a textile defect detection model and its training method and application. Background technique

[0002] In the production and development of the world's textile industry, the quality inspection of textile fabrics has always been a very important link. However, in the traditional quality inspection of textile fabrics, due to the lack of good automatic inspection tools, most of the solutions are still judged by artificial vision. Work is prone to fatigue, and accuracy is difficult to guarantee. With the rapid increase in the production volume and production speed of textile fabrics, the artificial vision method is increasingly unsuitable for the needs of the modern textile industry. It is urgent to find an automatic, accurate and fast method for quality or defect detection. At present, the detection methods for textile defects in China in...

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
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