I am new to Pytorch and I am following the transfer learning tutorial to build my own classifier. One thing I would like to know is how do I change the input range of resnet? Right now it is just taking images of size (224,224), but I would like it to work on images of size (512,512).
What is the best way to achieve this? Is it better to create my own network? And in specific, what layers do I need to change in order to make the network work?
I am a college undergrad using Pytorch to do my research, but I am new to deep learning and I just know some basic facts about resnet. If the input size is not possible change unless I modify the entire network, let me know!