最近我用H2RBox跑DOTA数据集,请问我已经得到了提供给DOTA官网测试的压缩文件,我怎样能用这些检测结果去生成原本DOTA的标注样式。
Recently I've been running DOTA dataset with H2RBox, please I've got the zip file provided to the official DOTA website for testing, how can I use these test results to generate the original DOTA annotation style.
Prerequisite
Task
I'm using the official example scripts/configs for the officially supported tasks/models/datasets.
Branch
1.x branch https://github.com/open-mmlab/mmrotate/tree/1.x
Environment
sys.platform: linux Python: 3.8.10 (default, Jun 4 2021, 15:09:15) [GCC 7.5.0] CUDA available: False MUSA available: False numpy_random_seed: 2147483648 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.8.1+cu111 PyTorch compiling details: PyTorch built with:
TorchVision: 0.9.1+cu111 OpenCV: 4.10.0 MMEngine: 0.10.4 MMRotate: 1.0.0rc1+3ff004e
Reproduces the problem - code sample
None
Reproduces the problem - command or script
None
Reproduces the problem - error message
None
Additional information
最近我用H2RBox跑DOTA数据集,请问我已经得到了提供给DOTA官网测试的压缩文件,我怎样能用这些检测结果去生成原本DOTA的标注样式。 Recently I've been running DOTA dataset with H2RBox, please I've got the zip file provided to the official DOTA website for testing, how can I use these test results to generate the original DOTA annotation style.