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Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".

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According to the requirements in the paper, under the conditions of batch_size = 8 and epochs = 150, the result trained in the train.py file is very poor. There is...

Hello, I encountered the issue shown in the image below while reproducing your work. I used the data you provided, but it seems that the model cannot complete the training...

pt模型下,在YOLOv5中加了rcsosa模块后比原始yolov5精度高、速度快; 但转成tensorrt后,速度比原始yolov5慢很多,请问是什么原因?

首先非常感谢您的工作!在您的论文中提到在RCS-YOLO、RepVGG-CSP的消融实验,想请问一下是否是在相同的位置采用BottleneckCSPC、RCS-OSA两个模块进行实验对比?如果是我认为的这样,BottleneckCSPC仅比C3模块多一个conv1x1,那在YOLOv5中,采用RCS-OSA替换C3模块应该也可以提升模型的检测性能。请问您是否做过RCS-OSA有效性的验证实验?该模块是否能提升检测速度?

Thanks to the authors for the interesting work and for sharing your code. I'd love to reproduce the results presented at MICCAI23. However, I couldn't find `best.pt` following the link...

I can execute test.py after training, but I get an error when executing detect.py ![微信图片_20230831110256](https://github.com/mkang315/RCS-YOLO/assets/78398783/0d7e87df-64c3-4899-8f99-b3b7442c1275)

There is a eror: "cannot import models.VovShuffleRep". Could you update the codes and add it?

Dear blogger, after training an epoch, there is an error, what is the reason and how to solve it?