Open namasang1 opened 3 years ago
I am poor at English. I think the large scale is better than little. BUT it can cause training crash.Because of memory may overflow.
there's no substitute for experimenting yourself - try it and see - I think you might see some small improvement with a larger size
I have a question about the YOLOv4-large.
In the paper, YOLOv4-large models are trained with scaled input image size
so, when i train in these models, should the input image size be large scale (ex 896x896 or 1280x1280) ? Or these models can be resize input image to large input size even if my data size 640x640. because i used custom data which is 640x640 size.
thank you