How to train with my own dataset?

[knwng]

Hi, thanks for sharing this excellent project. I've successfully trained it on VOC dataset and got pretty good result and speed, but when I try to train it using my own dataset(with only 1 class). It always get 0 mAP and nan loss as testing.
I've already change the num_class in detect_loss layer and associated params in reg_reshape and the last conv layer and I've pre-proccessed my input data(reshape and subtract mean value).
What confuse me is the meaning of the other params in detect_loss layer like coord_scale, noobject_scale...Should I change them for new dataset? If so, how should I calculate them? Thanks in advance!

[Harick1]

@knwng I use the default parameters in the original paper. To change the hyper parameters and adapt it to your own dataset, please refer to the original paper.