SIoU(Scale-Invariant IOU)是一种改进的IOU计算方法,它考虑了不同尺度和长宽比的目标。在目标检测任务中,不同尺度和长宽比的目标具有不同的难度。传统的IOU计算方法可能会忽略这些差异,导致模型在处理不同大小和形状的目标时表现不佳。通过引入尺度不变性,SIoU能够更好地评估预测框与真实框之间的重叠程度,提高目标...
二、 代码实践| YOLOv8 改进 Wise-IoU 结构 改进核心代码 在ultralytics文件夹下面,新增一个 Wise-IoU.py文件,增加以下代码 defbbox_iou(box1,box2,xywh=True,GIoU=False,DIoU=False,CIoU=False,WIoU=False,eps=1e-7):核心代码及剩下改进修改的代码部分 详细代码见以下链接: https://yoloair.blog.csdn....
YOLOV7改进-添加EIoU,SIoU,AlphaIoU,FocalEIoU,Wise-IoU 在YoloV7中添加EIoU,SIoU,AlphaIoU,FocalEIoU,Wise-IoU. yolov7中box_iou其默认用的是CIoU,其中代码还带有GIoU,DIoU, AlphaIoU,文件路径:utils/general.py,函数名为:bbox_iou 重磅!!! YOLO模型改进集合指南-CSDN def bbox_iou(box1, box2, x1...
Keywords: Object detection YOLOv7 PConv SE attention Wise-IoU 1. Introduction As an important task in computer vision, object detection is widely used in face recognition, pedestrian detection, vehicle recognition, and other fields. However, due to the limitation of computing resources and real-tim...
i have successfully trained and exported the frozen graph for the model. I have also done the inference from the .ckpt and .pb file achieving 5 FPS in jetson nano. I need this to be faster in real time so need these steps to achieve that. ...
Experimental results on the HRSID and SAR-Ship-Dataset demonstrate that our approach significantly improves detection performance over the original YOLOv5 algorithm and other existing methods.doi:10.3390/rs16224128Zhongjun YuMultidisciplinary Digital Publishing InstituteRemote Sensing...