bbox annotation format? about r-centernet HOT 3 OPEN

Dear @ZeroE04 ,
Thank you for sharing your work.
I am not clear about the bbox annotation of your dataset. I guess it is in xc, yc, w, h, ang, but I do not know how w, h are measured, parallel to the image coordinates or from the cv2.minAreaRect?

R-CenterNet/dataset.py

Line 221 in 828184b

def coco_box_to_bbox(box):

For my dataset

     rect = cv2.minAreaRect(hull)
     xc, yc = rect[0][0], rect[0][1]
     w, h = rect[1][0], rect[1][1]
     angle = rect[2]
     angle = ange_to_0_180(angle)
     rbbox = [xc, yc, w, h, angle]

So, with my bbox annotation, I do not have to use the coco_box_to_bbox function right?
Thank for your time.

I'm very sorry to hear from you so late.
For the concept of w and h, please refer to the original project of CenterNet:
https://github.com/xingyizhou/centernet

and, i am push the labelGenerator of this work, you can have a look, good luck for you!

from r-centernet.

这个和opencv版本有关，不同版本的opencv角度定义不一样，需要注意
https://blog.csdn.net/LEILEI18A/article/details/115006688

from r-centernet.

这个和opencv版本有关，不同版本的opencv角度定义不一样，需要注意
https://blog.csdn.net/LEILEI18A/article/details/115006688

请问博主知道怎样从minAreaRect函数标记的box转换到Rcenternet可用的box

from r-centernet.