Question when running detection_perf.py

[wjp0408]

I just use train set as "trainval set" + val set as "test set".
And when I run detection_perf.py,I got this output:

It's weird that APs of 店，路，车 are all 0.0 %.
So it's means that there're some error heppened?
Or these characters didn't appear in the val set?
Or the other reasons... ?
Thanks for your help. ：）

[yuantailing]

We use train+val to generate cates.json. Our trained models use this order to map character catetory into ID (i.e., the #class output by CNN).
If you are using trained model, you should generate cates.json using train+val, and then test performance on val.
e.g., If the model outputs ID=4, it means '店' according to cates.json. But if you generate cate.json using trainset only, you may translate 'ID=4' into another character catetory, not '店'.

[wjp0408]

Thanks for your reply !
And I think I got the correct result with your help :

Thanks.

[peppapeppapeppapeppa]

Thanks for your reply !
And I think I got the correct result with your help :

您好 我想问下您是怎么解决这个问题的，我也遇到了这个问题 非常期待您的回答 谢谢