Darknet YOLO image size

Question

I am trying to train custom object classifier in Darknet YOLO v2 https://pjreddie.com/darknet/yolo/

I gathered a dataset for images most of them are 6000 x 4000 px and s

Answer 1

You do not need to resize the images, you can directly change the values in darknet.cfg file.

1. When you open darknet.cfg (yolo-darknet.cfg) file, you can all
   hyper-parameters and their values.
2. As showed in your cfg file images dimensions are (416,416)->(weight,height), you can change the values, so that darknet will automatically resize the images before training.
3. Since the images have high dimensions, you can adjust batch and sub-division values (lower the values 32,16,8 . it has to be multiples of 2), so that darknet will not crash (memory allocation error)