Hi @varun19299, can we use 1281283 patch to train and 102420483 image to test ?
When I use 1281283 patch to train a new model and inference a image with 102420483, I found the result is not correct. But if I split the image into multiple 1281283 path to inference, the result seems much better.
How can I change your code to overcome the problem?
waiting for your help!
Yes, this is something we talk about in our paper. Our architecture is designed to directly train on 2MP images, which attains superior results, especially on POLED measurements.
Hi @varun19299, can we use 1281283 patch to train and 102420483 image to test ? When I use 1281283 patch to train a new model and inference a image with 102420483, I found the result is not correct. But if I split the image into multiple 1281283 path to inference, the result seems much better. How can I change your code to overcome the problem? waiting for your help!