Comments (8)
I found that increasing size / padding the input fixed this error for me.
from efficientnet-pytorch-3d.
我发现增加大小/填充输入为我修复了这个错误。
Hello, can you tell me in detail how to change it to your own input shape? thank you very much.
from efficientnet-pytorch-3d.
I think it has to be at least 2**n (n >= 5), otherwise it will not have enough image space to perform the convolution, etc.
from efficientnet-pytorch-3d.
from efficientnet-pytorch-3d.
Say, change from Conv3D(kernel_size=(3, 3, 3))
to Conv3D(kernel_size=(1, 3, 3))
will probably work for your case.
from efficientnet-pytorch-3d.
from efficientnet-pytorch-3d.
its not working at all .
i changed all kernel size from (3,3,3) to (1,,3,3) but i am getting error
from efficientnet-pytorch-3d.
Please see my issue posted here : #16
I am having a similar issue but I am very lost. Please help !! This EfficientNet is perfect but im just stuck on the input shape.
from efficientnet-pytorch-3d.
Related Issues (15)
- how to use batch size 8 ,as I think its fixed 32 in this model... HOT 1
- How to set the network input size HOT 2
- .from_pretrained for 3d inputs HOT 1
- RuntimeError: expected scalar type Double but found Float
- Input shape dimensions = C x T x H x W ? HOT 2
- Is the .from_name() method loads the pretrained weights? HOT 1
- Unbound `oz` in Conv3dDynamicSamePadding HOT 1
- Can this model be modified with Unet3D?
- Feature request: "include_top=True/False" to allow customization of final layers HOT 2
- How to train from scratch used myself dataset? HOT 2
- Same outputs after model.eval() HOT 6
- UnboundLocalError: local variable 'oz' referenced before assignment HOT 1
- How to freeze layer in this model!! HOT 3
- pre-trained weights for 3D models HOT 2
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