multi_class_nms1(multi_bboxes, multi_scores, ......) num_classes = 81 ,but 81 ！= multi_bboxes.shape[1]

[xcaizewu]

Hello, thank you for opening up your code

I am trying to port your code to mmdetection==2.3.0, I have a few questions：
1）When I trained the model, loss convergence was normal, but recall and AP were very low

What part of the transplant was wrong with me

2）The method multi_class_nms1(multi_bboxes, multi_scores, ......）

max_per_img= 125. Arguably, multi_bboxes.shape[1]=len(multi_scores)=125. But

multi_scores = 81, and
for I in range(1, num_classes): multi_bboxes.shape[1]=125, It's not a complete cycle

[JialeCao001]

@xcaizewu Thanks for your interest. I upload a new version using mmdetection v2.1.0. I think that the difference between v2.1.0 and v2.3.0 is not much. You can refer to this code or move the related files to your project. The link is https://github.com/JialeCao001/D2Det-mmdet2.1.

[xcaizewu]

@xcaizewu Thanks for your interest. I upload a new version using mmdetection v2.1.0. I think that the difference between v2.1.0 and v2.3.0 is not much. You can refer to this code or move the related files to your project. The link is https://github.com/JialeCao001/D2Det-mmdet2.1.

Thank you very much！ @JialeCao001