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Differentiable IoU of rotated bounding boxes using Pytorch

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Hello,There is a problem when using 3d-giou for regression training. When I use 3d-giou to train 3dssd on my own dataset(5 classes: car perdestrian headstock fulltrailer emptytrailer), it seems that...

![image](https://user-images.githubusercontent.com/87272337/180907108-2a31a204-a7dc-437a-bc72-b71e27f2563d.png) 我不知道错在哪里喃

大佬,我在本地运行就可以,一到服务器上,就显示这个warning: missing return statement at end of non-void function "compare_vertices",还是可以install,但是运行起来就全部是nan

Hi! Thank you @lilanxiao for your great work. I have been using your work for sometime, and it has been beneficial for my training. One problem I encountered was under...

Hi, this repo is very useful for me! But when I test for the accuracy, I find in one case the result of oriented_box_intersection_2d is wrong. box1 = [4,5,8,10,0] box2...

``` import Rotated_IoU.oriented_iou_loss as ri import torch import numpy as np import math box1 = torch.tensor([[[0.,0.,2.,2.,torch.pi/4]]]).to("cuda") iou,_,_,_ = ri.cal_iou(box1, box1) print(iou) ``` above iou value is "0." but when i...

Is it possible to apply this to YOLACT? How might i go about doing so?

我尝试在维基百科上查找了另外一种算法(叉积), 重写了此函数,是我对函数的理解有错误?或者你提供的原始的函数存在bug? 你有什么修正的建议吗? * 原始代码 ```python def box1_in_box2(corners1:torch.Tensor, corners2:torch.Tensor): a = corners2[:, :, 0:1, :] # (B, N, 1, 2) b = corners2[:, :, 1:2, :] # (B, N, 1,...

我能运行demo,但自己import oriented_iou_loss时会出现找不到包