About the dataset

[Halleyawoo]

About the dataset

[bigmb]

I have made my png from the MRI files.
There is a .py file called 2d from 3d in the repo.
Have a look at it.

[Halleyawoo]

okay, thanks for your reply!

[Halleyawoo]

please don't close it now, maybe I 'll have some problems lately.
lol
thank you!

[bigmb]

Sure. No problem. You can even write to me on [email protected].

[Halleyawoo]

Hello！
I met a problem which says:

RuntimeError: output with shape [1, 96, 96] doesn't match the broadcast shape [3, 96, 96]

I referred to online tutorials, change the sentence :
transform = transforms.Compose([transforms.ToTensor(), transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])])

into another sentence :
transform = transforms.Compose([
transforms.ToTensor(),
transforms.Lambda(lambda x: x.repeat(3,1,1)),
transforms.Normalize(mean=(0.5, 0.5, 0.5), std=(0.5, 0.5, 0.5))
])

But it is still the same error. Could you tell me why?
Thx very much!

[bigmb]

Its probably because you are providing a 1D input to the expected 3D tensor.
try :
transform = transforms.Compose([transforms.ToTensor(), transforms.Normalize(mean=[0.5], std=[0.5])])

But what is your input to the transformation?

[bigmb]

What is the shape of the input given to datasets?
Can you share those details?

and the shape of the output of the 2d_from_3d file that you are creating?

[husheng876]

Its probably because you are providing a 1D input to the expected 3D tensor.
try :
transform = transforms.Compose([transforms.ToTensor(), transforms.Normalize(mean=[0.5], std=[0.5])])

But what is your input to the transformation?

i have tried this solution but didn't solve the problem.And my input data is RGB and mask is gray.