fix(app): 更新权重文件路径并调整 GPU 设备

- 将所有权重文件的扩展名从 .bin 改为 .pth
- 将 GPU 设备从 "cuda:1" 修改为 "cuda:0"
- 更新了多个卫星数据处理模块的权重文件路径

hugging_face/app.py

@@ -164,14 +164,14 @@ def get_palette(dataset_name: str) -> List[int]:
     l2a_examples = glob("example_inputs/l2a/*")
     l8_examples = glob("example_inputs/l8/*")
 
-    device = "cuda:1" if torch.cuda.is_available() else "cpu"
+    device = "cuda:0" if torch.cuda.is_available() else "cpu"
     with gr.Blocks(analytics_enabled=False, title=title,css=custom_css) as demo:
         gr.Markdown(f'# {title}')
         with gr.Tabs():
             with gr.TabItem('Google Earth'):
                 CloudAdapterGradio(
                     config_path="cloud-adapter-configs/binary_classes_256x256.py",
-                    checkpoint_path="checkpoints/cloud-adapter/hrc_whu_full_weight.bin",
+                    checkpoint_path="checkpoints/cloud-adapter/hrc_whu_full_weight.pth",
                     device=device,
                     example_inputs=hrc_whu_examples,
                     num_classes=2,
@@ -180,7 +180,7 @@ def get_palette(dataset_name: str) -> List[int]:
             with gr.TabItem('Gaofen-1'):
                 CloudAdapterGradio(
                     config_path="cloud-adapter-configs/binary_classes_256x256.py",
-                    checkpoint_path="checkpoints/cloud-adapter/gf1_full_weight.bin",
+                    checkpoint_path="checkpoints/cloud-adapter/gf1_full_weight.pth",
                     device=device,
                     example_inputs=gf1_examples,
                     num_classes=2,
@@ -189,7 +189,7 @@ def get_palette(dataset_name: str) -> List[int]:
             with gr.TabItem('Gaofen-2'):
                 CloudAdapterGradio(
                     config_path="cloud-adapter-configs/binary_classes_256x256.py",
-                    checkpoint_path="checkpoints/cloud-adapter/gf2_full_weight.bin",
+                    checkpoint_path="checkpoints/cloud-adapter/gf2_full_weight.pth",
                     device=device,
                     example_inputs=gf2_examples,
                     num_classes=2,
@@ -199,7 +199,7 @@ def get_palette(dataset_name: str) -> List[int]:
             with gr.TabItem('Sentinel-2 (L1C)'):
                 CloudAdapterGradio(
                     config_path="cloud-adapter-configs/multi_classes_512x512.py",
-                    checkpoint_path="checkpoints/cloud-adapter/l1c_full_weight.bin",
+                    checkpoint_path="checkpoints/cloud-adapter/l1c_full_weight.pth",
                     device=device,
                     example_inputs=l1c_examples,
                     num_classes=4,
@@ -208,7 +208,7 @@ def get_palette(dataset_name: str) -> List[int]:
             with gr.TabItem('Sentinel-2 (L2A)'):
                 CloudAdapterGradio(
                     config_path="cloud-adapter-configs/multi_classes_512x512.py",
-                    checkpoint_path="checkpoints/cloud-adapter/l2a_full_weight.bin",
+                    checkpoint_path="checkpoints/cloud-adapter/l2a_full_weight.pth",
                     device=device,
                     example_inputs=l2a_examples,
                     num_classes=4,
@@ -217,7 +217,7 @@ def get_palette(dataset_name: str) -> List[int]:
             with gr.TabItem('Landsat-8'):
                 CloudAdapterGradio(
                     config_path="cloud-adapter-configs/multi_classes_512x512.py",
-                    checkpoint_path="checkpoints/cloud-adapter/l8_full_weight.bin",
+                    checkpoint_path="checkpoints/cloud-adapter/l8_full_weight.pth",
                     device=device,
                     example_inputs=l8_examples,
                     num_classes=4,