train-val size

[zhangshoulong]

train-val size

[icey-zhang]

1.这个代表的是进入检测网络的尺寸大小，train-val是一样的
2.训练时使用1024下采为512的图作为目标检测网络的输入，1024的原始图像是作为超分网络的标签用于超分网络的训练。测试的时候输入512的图，不会经过下采操作，直接输入目标检测网络。

这样可以理解吗？如果您还有什么问题的话欢迎随时提问。

[zhangshoulong]

你好，我看了你的源码，但是我的代码能力很有限
没有看到在哪的代码中体现出来测试的时候512的图没有经过下采样

[zhangshoulong]

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

[zhangshoulong]

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

[icey-zhang]

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

这样设置之后跑的就不是SuperYOLO了

[icey-zhang]

你好，我看了你的源码，但是我的代码能力很有限
没有看到在哪的代码中体现出来测试的时候512的图没有经过下采样

没有downsample

[icey-zhang]

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

嗯 是的

[zhangshoulong]

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

[PrisonMike-Guy]

I used your code to train my own data set, the size of the brain is set at 640, and the test is also set at 640. When you train, you find that there is no problem, but I don’t know. My usage is right.

After this setting, it’s not SuperYOLO.

@icey-zhang
Could you elaborate/explain why it is not SuperYOLO when using an image size of 640? The technique should still work also with different image size right?

[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.

I used your code to train my own data set, the size of the brain is set at 640, and the test is also set at 640. When you train, you find that there is no problem, but I don’t know. My usage is right.

After this setting, it’s not SuperYOLO.

@icey-zhang Could you elaborate/explain why it is not SuperYOLO when using an image size of 640? The technique should still work also with different image size right?