main

app.py

@@ -84,9 +84,9 @@ def demo_localize(image,long,lat,tile_size_meters):
 # model = torch.hub.load('pytorch/vision:v0.6.0', 'resnet18', pretrained=True).eval()
 #标题
 title = "MapLocNet"
-title="<h1 align="center"><ins>MapLocNet</ins><br>UAV Vision-based Geo-Localization<br>Using Vectorized Maps</h1>"
+# title="<h1 align="center"><ins>MapLocNet</ins><br>UAV Vision-based Geo-Localization<br>Using Vectorized Maps</h1>"
 #标题下的描述，支持md格式
-description = "OrienterNet finds the position and orientation of UAV image using OpenStreetMap. Click on one of the provided examples or upload your own UAV image!"
+description = "MapLocNet finds the position and orientation of UAV image using OpenStreetMap. Click on one of the provided examples or upload your own UAV image!"
 
 # outputs = gr.outputs.Label(num_top_classes=3)
 # outputs = gr.Plot()