yolov5_obb
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yolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测
The prediction of an Image using OpenCV DNN with python detect.py works very well. SInce I have little to no experience with C++ and I intent to use it in...
How can I improve the orientation regression performance on a custom dataset? I get high training and validation scores (600 epochs) **HBBmAP.5** > 90% **precision&recall** ~95% **val/theta_loss** ~0.18 But sometimes...
用了作者给的超参数和yolov5官方的预训练权重,yolov5n最多只能到72.2。想问下大家跑到73.3的精度了吗?看了作者的结果文件,hpy参数除了batchsize我的是8其他的没发现不一样的,求大佬指教下。到底是哪里有问题。对了我没有test直接看的val结果最多72.2。是不是要去把结果融合下?还是其他的? 下载玩作者的这个代码只把数据及位置改了,还有预训练权重位置。batchsize的原因吗???
您好,我用这个代码训练自己的数据集,总样本数量为116张,100张训练,16张测试。但是模型一直震荡无法收敛,识别效果也不好,会有多个框出现。能否指点一下?下面是我的数据集,标签以及测试结果。    
Hello @hukaixuan19970627! I hope you're doing well! I'm the author of [YOLOv8](https://github.com/ultralytics/ultralytics) and founder of Ultralytics. I've been following your work on the YOLOv5 OBB implementation and am genuinely impressed...
只在NMS那里找了merge,不清楚是不是需要删这里。而且在第一步载入图像时,显示train: WARNING: data1/train/images/img_99.jpg: ignoring corrupt image/label: list index out of range,是因为文件名不对吗,还是因为没有切割图像呢。 
CSL
博主你好,请问怎么关掉CSL呢,想做一个用CSL和不用的对比
Is anyone encoutering this problem here ? it was working fine yesterday, but i tried to use --cache today and it did not work and i tried to run without...
error: command 'cl.exe' failed: None
Traceback (most recent call last): File "E:/WYH/yolov5_obb-master/train.py", line 635, in main(opt) File "E:/WYH/yolov5_obb-master/train.py", line 530, in main train(opt.hyp, opt, device, callbacks) File "E:/WYH/yolov5_obb-master/train.py", line 373, in train compute_loss=compute_loss) File "D:\Anaconda\envs\dx\lib\site-packages\torch\autograd\grad_mode.py",...