Aiming at the problem of low surface defect detection accuracy of industrial products, an object detection method based on simplified spatial pyramid pooling fast(Sim SPPF) hybrid pooling improved you only look once v...Aiming at the problem of low surface defect detection accuracy of industrial products, an object detection method based on simplified spatial pyramid pooling fast(Sim SPPF) hybrid pooling improved you only look once version 5s(YOLOV5s) model is proposed. The algorithm introduces channel attention(CA) module, simplified SPPF feature vector pyramid and efficient intersection over union(EIOU) loss function. Feature vector pyramids fuse high-dimensional and low-dimensional features, which makes semantic information richer. The CA mechanism performs maximum pooling and average pooling operations on the feature map. Hybrid pooling comprehensively improves detection computing efficiency and accurate deployment ability. The results show that the improved YOLOV5s model is better than the original YOLOV5s model. The average test accuracy(mAP) can reach 91.8%, which can be increased by 17.4%, and the detection speed can reach 108 FPS, which can be increased by 18 FPS. The improved model is practicable, and the overall performance is better than other conventional models.展开更多
为了解决传统YOLOv5目标检测算法在检测小目标时存在检测精度不高和漏检的问题,提出一种基于改进YOLOv5的小目标检测方法。首先,为了使Anchor Box能更好地适应小目标,在K-means聚类过程中,使用IOU(Interp Over Union)替换原始使用的欧...为了解决传统YOLOv5目标检测算法在检测小目标时存在检测精度不高和漏检的问题,提出一种基于改进YOLOv5的小目标检测方法。首先,为了使Anchor Box能更好地适应小目标,在K-means聚类过程中,使用IOU(Interp Over Union)替换原始使用的欧几里得距离公式,重新定义Anchor Box和Ground Truth之间的距离;其次,在空间金字塔池化(Spatial Pyarmid Pooling,SPP)上增加一个池化核大小为3×3的最大池化,提高对小目标的检测精度;最后,制作一个包含多种小型目标的数据集以验证算法性能。实验结果表明:改进YOLOv5算法的验证平均精度(mean Average Precision,mAP)达到76.92%,与经典YOLOv5算法相比提升了3.56个百分点,检测效果有所提升且能检测出漏检目标。展开更多
With the appearance of Internet promotes GIS on both technical aspect and applied aspect,traditional GIS encounters huge blocks on Internet platform. In the field of computer ,Distributed Computing technology has seen...With the appearance of Internet promotes GIS on both technical aspect and applied aspect,traditional GIS encounters huge blocks on Internet platform. In the field of computer ,Distributed Computing technology has seen fast progress with three industrial standards. And on GIS field,openGIS Consortium has drawn a series of specifications,which,combining with the three standards,provides enterprise GIS application with foundamental facilities. The authors firstly illustrate the architectures with three models-thin clent,medium client and thick client,then present a mixed model which transfers both vector and raster data between client side and server side with the advantage of high interactivity in clinet and medium data transfer. Afterward,the authors give two enterprise schema based on two standards :COM+and EJB. Finally,the authors list some key technologies which will affect the future WebGIS-openGIS,XML, Windows. net, CORBA, EJB,etc.展开更多
基金supported by the Tianjin Postgraduate Research Innovation Project (No.2022SKY286)the National Science and the National Key Research and Development Program (No.2022YFF0706000)。
文摘Aiming at the problem of low surface defect detection accuracy of industrial products, an object detection method based on simplified spatial pyramid pooling fast(Sim SPPF) hybrid pooling improved you only look once version 5s(YOLOV5s) model is proposed. The algorithm introduces channel attention(CA) module, simplified SPPF feature vector pyramid and efficient intersection over union(EIOU) loss function. Feature vector pyramids fuse high-dimensional and low-dimensional features, which makes semantic information richer. The CA mechanism performs maximum pooling and average pooling operations on the feature map. Hybrid pooling comprehensively improves detection computing efficiency and accurate deployment ability. The results show that the improved YOLOV5s model is better than the original YOLOV5s model. The average test accuracy(mAP) can reach 91.8%, which can be increased by 17.4%, and the detection speed can reach 108 FPS, which can be increased by 18 FPS. The improved model is practicable, and the overall performance is better than other conventional models.
文摘为了解决传统YOLOv5目标检测算法在检测小目标时存在检测精度不高和漏检的问题,提出一种基于改进YOLOv5的小目标检测方法。首先,为了使Anchor Box能更好地适应小目标,在K-means聚类过程中,使用IOU(Interp Over Union)替换原始使用的欧几里得距离公式,重新定义Anchor Box和Ground Truth之间的距离;其次,在空间金字塔池化(Spatial Pyarmid Pooling,SPP)上增加一个池化核大小为3×3的最大池化,提高对小目标的检测精度;最后,制作一个包含多种小型目标的数据集以验证算法性能。实验结果表明:改进YOLOv5算法的验证平均精度(mean Average Precision,mAP)达到76.92%,与经典YOLOv5算法相比提升了3.56个百分点,检测效果有所提升且能检测出漏检目标。
文摘With the appearance of Internet promotes GIS on both technical aspect and applied aspect,traditional GIS encounters huge blocks on Internet platform. In the field of computer ,Distributed Computing technology has seen fast progress with three industrial standards. And on GIS field,openGIS Consortium has drawn a series of specifications,which,combining with the three standards,provides enterprise GIS application with foundamental facilities. The authors firstly illustrate the architectures with three models-thin clent,medium client and thick client,then present a mixed model which transfers both vector and raster data between client side and server side with the advantage of high interactivity in clinet and medium data transfer. Afterward,the authors give two enterprise schema based on two standards :COM+and EJB. Finally,the authors list some key technologies which will affect the future WebGIS-openGIS,XML, Windows. net, CORBA, EJB,etc.
