s2anet icon indicating copy to clipboard operation
s2anet copied to clipboard

Official code of the paper "Align Deep Features for Oriented Object Detection"

Results 47 s2anet issues
Sort by recently updated
recently updated
newest added

I trained the model on dota, but when I try to test it it throws this error. Traceback (most recent call last): File "tools/test.py", line 236, in main() File "tools/test.py",...

使用单卡训练DOTA数据集的一部分,训练完后的保存的模型大小,与作者提供的模型大小不一致。

请问一下,把dota1.0换成Dota1.5之后需要更改哪些配置?为什么我用dota1.5时最后container crane的txt文件显示为空?是数据集的问题,还是因为我的代码没有改全?

Excuse me, have you ever train s2anet on UCAS_AOD dataset? I have problems aligning the accuracy in [UCAS_AOD_Benchmark](https://github.com/ming71/UCAS-AOD-benchmark) which you mentioned in another issue. And my model have a low...

Hello, thanks for the great work. In the RotationInvariantPooling module, a convolution + batchnorm is being initialized but seemingly not used later on. Is this for testing purposes? Can both...

when running python setup.py develop in pytorch1.9 version using docker, with environment as python==3.8, torch==1.9.0 and cudatoolkit==11.0, there exist error: /opt/conda/envs/s2anet/compiler_compat/ld: cannot find -lc10_cuda /opt/conda/envs/s2anet/compiler_compat/ld: cannot find -ltorch_cuda collect2: error:...

我在处理dota1.5数据集的时侯,出现了如下错误,请问一下我该如何解决?谢谢 File "/home/speech/cipan/s2anet/DOTA_devkit/convert_dota_to_mmdet.py", line 66, in convert_dota_to_mmdet bboxes, labels, bboxes_ignore, labels_ignore = parse_ann_info(label_path, img_name) File "/home/speech/cipan/s2anet/DOTA_devkit/convert_dota_to_mmdet.py", line 32, in parse_ann_info labels.append(label_ids[class_name]) KeyError: 'container-crane'

请问对于dota数据集训练s2anet来说,一般训练12个epoch就够了么?还是说需要训练上百甚至几百个epoch。实际上我在训练自己的遥感数据集时,loss在epoch=120、200时,loss大概能从0.08降到0.06左右,但是mAP相差不多,甚至更低了,请问一般应该如何选择训练epoch数呢? 另外,请问对于类别分布不均的情况,有的几千有的只有几十个,可以使用什么方法解决呢?谢谢!

一直卡在下面的部分,显存只占用600m ![image](https://user-images.githubusercontent.com/34886368/119591504-4ebe2780-be09-11eb-8850-5947d110e52b.png) 强制中断后的错误如下 ![image](https://user-images.githubusercontent.com/34886368/119591584-744b3100-be09-11eb-80d9-9df09c3e43be.png)