I change the input size of images to 360*640, and then re-train the model. But the model dose not converge. I have checked the part of data augmentation and there is no problem. Also, I check multibox_loss.py and don't find any setting about input size.
Intuitively, such change may not lead the problem of convergence. So is there something i missing or else? thanks very much.
I change the input size of images to 360*640, and then re-train the model. But the model dose not converge. I have checked the part of data augmentation and there is no problem. Also, I check multibox_loss.py and don't find any setting about input size. Intuitively, such change may not lead the problem of convergence. So is there something i missing or else? thanks very much.