Qiang.F
Qiang.F
> Thanks for your attentions. m/l/x will come soon. 请问出来了吗?
是的,在我自己的数据集上比yolov5也低了8-10个点
可以参考这个,他还写了教程[https://github.com/hpc203/nanodet-opncv-dnn-cpp-python](url)
I've had the same problem, but I've solved it and it might inspire you. I resize the size of the picture during training, so in get _ iou(), get _...
应该不是,除了Attention这个类,还有下边Block中的deforward()中的第一行,Attention中我好像没发现有Residual connect,如果加上Block才是完整的EMSA,还有这个EMSA(v1)和CMT中的LMSHA结构非常像,那个图画得更容易理解一些, 如有不对,请指出。
Hello, I didn't understand this place either, also when computing the loss function, it doesn't seem to follow Eq. 10. It would be appreciated if you could tell me about...