Hi there,
Currently, I have a well-trained segmentation model on GTA5. I’d like to further fine-tune this trained model on a self-defined cropped gta5 image. Now I have two choices:
- crop the original image and input a small-sized cropped version into the network.
- keep the image as original size and replace all non-crop regions with 0 (non-cropped region will be labeled as 255).
I was just wondering if these two operations have significantly different performance.
Thank you!