ValueError: Input and output must have the same number of spatial dimensions, but got input with with spatial dimensions of [256, 256] and output size of torch.Size([1, 256, 256, 3]). Please provide input tensor in (N, C, d1, d2, ...,dK) format and output size in (o1, o2, ...,oK) format.

[zdw9915]

ValueError: Input and output must have the same number of spatial dimensions, but got input with with spatial dimensions of [256, 256] and output size of torch.Size([1, 256, 256, 3]). Please provide input tensor in (N, C, d1, d2, ...,dK) format and output size in (o1, o2, ...,oK) format.

[AllesOderNicht]

我遇到了相同的问题

[YourHarbour]

我遇到了相同的问题

有解决吗
我也遇到了这个问题

[PriscillaPio]

It worked for me after I changed the shape of label from (256, 256, 3) to (256, 256). Make sure to save the labels in grayscale when you crop them

[zdw9915]

I seem to have found a workaround, changing the bit depth of the label to 8

[zdw9915]

It worked for me after I changed the shape of label from (256, 256, 3) to (256, 256). Make sure to save the labels in grayscale when you crop them

Thank you very much

[khawlaAlaoui]

I seem to have found a workaround, changing the bit depth of the label to 8

Can you please tell me why and how ?

[yclqwq]

It worked for me after I changed the shape of label from (256, 256, 3) to (256, 256). Make sure to save the labels in grayscale when you crop them

Thank you very much

您好，您只是改了这一个地方就跑代码了吗，可以给我一些指导或者给我您的数据集吗（DISFN）我的邮件是：[[email protected]]