Branch
master branch https://mmrotate.readthedocs.io/en/latest/
📚 The doc issue
The model I am using is s2anet. When setting up the train_pipeline, I often encounter errors like 'KeyError: "DOTADataset: 'RandomContrast is not in the pipeline registry'"', so I want to know which data augmentation methods I can use.
torch version: 2.8.0+cu128
torch cuda version: 12.8
cudnn version: 91002
gpu available: True
gpu count: 1
gpu name: NVIDIA GeForce RTX 3060 Laptop GPU
torch version: 2.8.0+cu128
mmcv version: 1.7.2
mmrotate version: 0.3.4
numpy version: 1.26.4
Suggest a potential alternative/fix
No response
Branch
master branch https://mmrotate.readthedocs.io/en/latest/
📚 The doc issue
The model I am using is s2anet. When setting up the train_pipeline, I often encounter errors like 'KeyError: "DOTADataset: 'RandomContrast is not in the pipeline registry'"', so I want to know which data augmentation methods I can use.
torch version: 2.8.0+cu128
torch cuda version: 12.8
cudnn version: 91002
gpu available: True
gpu count: 1
gpu name: NVIDIA GeForce RTX 3060 Laptop GPU
torch version: 2.8.0+cu128
mmcv version: 1.7.2
mmrotate version: 0.3.4
numpy version: 1.26.4
Suggest a potential alternative/fix
No response