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vggm not usable
See original GitHub issueHi,
currently vggm is not an usable architecture even though it is already implemented. Could you please fix it?
Thank you!
Issue Analytics
- State:
- Created 5 years ago
- Comments:6 (2 by maintainers)
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@noovd Did you ensure that the input image is in [0,255] range before you apply normalization?
I use the following code transformations = transforms.Compose([ transforms.Scale(224), transforms.ToTensor(), transforms.Lambda(lambda x: x.mul(255)) ]) and then subtract the mean value
In my case I am able to fine-tune the model without any issue. Hope this help solve your problem.
Hi, I have another question. Since input of original VGGM 224x224. But in your code, the input size is 221x221. Does it influence the performance. Meanwhile, I wonder the provided pretrained model is converted from which model?