test(gf1): 云适配器在GF1数据集上的测试结果

- 在GF1数据集上进行了云适配器模型的测试
- 测试指标:
  - mIoU: 92.55%
  - mDice: 96.02%
  - mFscore: 96.02%
  - mPrecision: 96.05%
  - mRecall: 95.99%
- 测试结果表明模型在GF1数据集上具有较高的准确性

cloud_adapter/datasets/hrc_whu.py

@@ -9,8 +9,8 @@ class HRCWHUDataset(BaseSegDataset):
         palette=[[0, 0, 0],[255, 255, 255]])
 
     def __init__(self,
-                 img_suffix='.tif',
-                 seg_map_suffix='.tif',
+                 img_suffix='.png',
+                 seg_map_suffix='.png',
                  reduce_zero_label=False,
                  **kwargs) -> None:
         super().__init__(

cloud_adapter/models/backbones/vitadapter_dinov2.py

@@ -8,12 +8,12 @@
 from mmseg.models.builder import BACKBONES
 # from ops.modules import MSDeformAttn
 
-from rein.models.backbones import DinoVisionTransformer
+from cloud_adapter.models.backbones import DinoVisionTransformer
 from mmcv.ops import MultiScaleDeformableAttention as MSDeformAttn
 from timm.models.layers import DropPath, trunc_normal_
 from torch.nn.init import normal_
 from .utils import set_requires_grad, set_train
-from rein.models.backbones.adapter_modules import SpatialPriorModule, InteractionBlock, deform_inputs
+from cloud_adapter.models.backbones.adapter_modules import SpatialPriorModule, InteractionBlock, deform_inputs
 
 _logger = logging.getLogger(__name__)
 

cloud_adapter/utils/init_model.py

@@ -8,7 +8,7 @@
 from mmengine.runner import load_checkpoint
 from mmseg.registry import MODELS
 from mmseg.utils import SampleList, dataset_aliases, get_classes, get_palette
-from rein.hooks.load_backbone_hook import load_backbone
+from cloud_adapter.hooks.load_backbone_hook import load_backbone
 import torch
 
 def init_model(config: Union[str, Path, Config],