Hello,
l have a dataset following this format [batch, channel, width, height]= [10000,1,256,256]
to train resnet l need to have 3 channels.
My question is how to transform my data with 1 channel to 3 channels
[10000,1,256,256]
to [10000,3,256,256]
?
Thank you
You can use .expand
for this:
a = torch.randn(10, 1, 256, 256)
a = a.expand(-1, 3, -1, -1)
Note that this will repeat the channel dimension.
1 Like
thank you. This is what lām looking for
SimonW
(Simon Wang)
4
Well, you are probably better off changing the first conv block parameters if you are only going to train on 1 channel data.
dhpollack
(David Pollack)
5
you can also do:
nn.Conv2d(1, 3, 1)(input)