Hi,
I am wondering what is the maximum image size I can use with a pretrained torchvision fasterrcnn_resnet50_fpn. At the moment I am working with images of shape (3, 1300, 1300). I can’t afford the image to be downsampled as I would lose critical resolution, but if needed I can generate smaller images (they are artificial data). I found the max_size 22 argument in the FasterRCNN function definition with default value set to 1333; and this argument is probably passed to GeneralizedRCNNTransform 7 at some point. So I’m assuming there is no downsampling taking place up to that value (1333), but I would like to be sure.
Thanks,
Loïc