HUST

[Oriented R-CNN](https://github.com/open-mmlab/mmrotate/blob/main/configs/oriented_rcnn/README.md)，[S2A-Net](https://github.com/open-mmlab/mmrotate/blob/main/configs/s2anet/README.md) for mmrotate tensorrt, please!

> The data preparation is almost the same as MMDetection. You can refer [custom.py](https://github.com/jbwang1997/OBBDetection/blob/master/mmdet/datasets/custom.py) for the data structure. > > But, you need to pay attention to some details. >...

> > > The data preparation is almost the same as MMDetection. You can refer [custom.py](https://github.com/jbwang1997/OBBDetection/blob/master/mmdet/datasets/custom.py) for the data structure. > > > But, you need to pay attention to...

> > > > The data preparation is almost the same as MMDetection. You can refer [custom.py](https://github.com/jbwang1997/OBBDetection/blob/master/mmdet/datasets/custom.py) for the data structure. > > > > But, you need to pay...

> > > > > > The data preparation is almost the same as MMDetection. You can refer [custom.py](https://github.com/jbwang1997/OBBDetection/blob/master/mmdet/datasets/custom.py) for the data structure. > > > > > > But,...

> 参考MMDet的文档 [doc](https://github.com/open-mmlab/mmdetection/blob/master/docs/faq.md), 可以试试在config文件中增加`find_unused_parameters = True` 感谢您的回复，我尝试添加了```find_unused_parameters = True```，但是训练速度会变慢（MMDet的文档也写了：but this will slow down the training speed），请问有其他方法吗

> @hust-lidelong 这个是因为or_pooling中定义了一组可学习的参数，但是没有使用，我在最新的commit中将这组参数注解了，现在应该可以直接分布式训练了。 现在可以分布式训练了，给您点赞

I met the same problem.too Can you tell more details about how to solve this problem ? Thanks @anandkoirala @TheMikeyR

I met the same problem.too. RuntimeError: The size of tensor a (191) must match the size of tensor b (192) at non-singleton dimension 2

Another problem: CustomDatasetDataLoader dataset [SingleImageDataset] was created /home/linux/anaconda3/lib/python3.6/site-packages/torchvision-0.2.0-py3.6.egg/torchvision/transforms/transforms.py:156: UserWarning: The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead. How do I solve this? Thanks!