RCS-YOLO
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Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
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?
Thanks! Wonderful work!
Dear blogger, after training an epoch, there is an error, what is the reason and how to solve it?