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train-val size #26
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1.这个代表的是进入检测网络的尺寸大小,train-val是一样的 这样可以理解吗?如果您还有什么问题的话欢迎随时提问。 |
你好,我看了你的源码,但是我的代码能力很有限 |
我之前用你的代码训练自己的数据集,train大小设置为640,test也设置为640,没用你的sp分支,训练的时候,发现没啥问题,但我不知道,我这个用法对不对 |
还有个问题,train-val是一样的, 也就是说我每个epoch之后,用验证集验证一下map50-95,这两个数据集的输入网络的图片大小是一样的吗 |
这样设置之后跑的就不是SuperYOLO了 |
没有downsample |
嗯 是的 |
这样跑也是可以的是吧?我把P3,p4,p5,打开了,这样就变成了一个支持输入两种模态数据的 带有MF模块的yolov5了是吧 |
@icey-zhang |
As far as I know, the size 640 is a set of the training strategy. Why should be to set the size of 640? In my experiment, the dataset of VEDAI provides the two-size dataset in 512 and 1024, so I complete my whole experiment in size of 512, and 1024 is used to complete the SuperYOLO branch. I think if you set it to 640, it is also SuperYOLO.
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1、这个train-val size代表train跟Val的大小是一样的吗?
1、你好,您在论文中提到训练的图片分辨率是1024,而测试的时候是512,,训练的时候图片要下采样为512,那么测试的时候图片输入大小是512,经过网络,那不也是变成了原来的1/2,变成256了吗?
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