the classes num in dataset doesn't correspond to the parameter (bbox_head) "num_classes" in config file. Could you explain it :)

[Xiloy]

for example, i find you use "wordname_15" dataset, the num classes of this dataset is 15, but in your config file, the parameter “num_classes" is 16. The values ​​of these two numbers always seem to differ by 1...

[LiWentomng]

In the previous vesion of mmdetection (v1.x), the background class is included in the config file, i.e, "num_classes=15+1".

[Xiloy]

thanks! But I still have a problem that I haven't figured out yet. When i train the model, it prints infromation as I want to confirm (1) what is the difference between loss_rbox and loss_spatial (2)Why should we need to set loss_#_init and loss#_refine or what's their use thank you again!

[LiWentomng]

@Chenanxinyi (1) Loss_rbox is designed for points learning as the main term, loss_spatial is designed for the outlier point as the penalty item. (2) This is coase-to-fine framwork, the refine stage will further be better based on the init stage.