Hi,
I see here (https://pytorch.org/docs/stable/torchvision/models.html#classification 16) that the imagenet pretrained models expect image height and width dimensions to be “at least 224”. What does that mean? Can we pass in images smaller or larger?
Were the models trained on Imagenet images that were resized to 224x224 first? If that were the case, would we not force the images we pass in to also be 224x224? So
This poses another question - the Imagenet images are of different resolutions and it appears that 256x256 is a common size to use. Why then were the Pytorch models trained on 224x224?
Thank you for helping me understand this better.