2025-07-31 22:39 🚀

app.py

@@ -716,21 +716,23 @@ with gr.Blocks(css=css, theme=gr.themes.Soft(), title="ZIP Crowd Counting") as d
             with gr.Group():
                 gr.Markdown("### 📊 Main Results")
                 output_den_map = gr.Image(label="🎯 Predicted Density Map", type="pil")
-                output_lambda_map = gr.Image(label="📈 Lambda Map", type="pil")
                 output_text = gr.Textbox(
                     label="👥 Predicted Count",
                     info="Total number of people detected"
                 )
-        
+            
         with gr.Column(scale=1):
             with gr.Group():
-                gr.Markdown("### 🔍 Zero Analysis")
+                gr.Markdown("### 🔥 Hotspots")
+                output_lambda_map = gr.Image(label="📈 Lambda Map", type="pil")
+    
+    # Zero Analysis section - 横向排列的三个图像
+    with gr.Row():
+        with gr.Group():
+            gr.Markdown("### 🔍 Zero Analysis")
+            with gr.Row():
                 output_structural_zero_map = gr.Image(label="🏗️ Structural Zero Map", type="pil")
                 output_sampling_zero_map = gr.Image(label="📊 Sampling Zero Map", type="pil")
-        
-        with gr.Column(scale=1):
-            with gr.Group():
-                gr.Markdown("### 📈 Combined Analysis")
                 output_complete_zero_map = gr.Image(label="🎯 Complete Zero Map", type="pil")
 
     # 当模型变化时，自动更新模型
@@ -769,7 +771,7 @@ with gr.Blocks(css=css, theme=gr.themes.Soft(), title="ZIP Crowd Counting") as d
         gr.Markdown("**Click on any example below to test the model:**")
         gr.Examples(
             examples=[
-                ["example1.jpg"], ["example2.jpg"], # ["example3.jpg"], ["example4.jpg"],
+                ["example1.jpg"], ["example2.jpg"], ["example3.jpg"], ["example4.jpg"],
                 ["example5.jpg"], ["example6.jpg"], ["example7.jpg"], ["example8.jpg"],
                 ["example9.jpg"], ["example10.jpg"], ["example11.jpg"], ["example12.jpg"]
             ],
@@ -790,11 +792,17 @@ with gr.Blocks(css=css, theme=gr.themes.Soft(), title="ZIP Crowd Counting") as d
         
         ### Understanding the Outputs:
         
+        **📊 Main Results:**
         - **🎯 Density Map**: Shows where people are located with color intensity
-        - **📈 Lambda Map**: Represents the expected count per pixel
-        - **🏗️ Structural Zero Map**: Areas where people cannot exist (buildings, sky)
-        - **📊 Sampling Zero Map**: Areas where people could be but aren't
-        - **🎯 Complete Zero Map**: Combined zero probability map
+        - **� Predicted Count**: Total number of people detected in the image
+        
+        **🔍 Zero Analysis:**
+        - **🏗️ Structural Zero Map**: Areas where people cannot exist (buildings, sky, walls)
+        - **📊 Sampling Zero Map**: Areas where people could be but aren't currently present
+        - **🎯 Complete Zero Map**: Combined zero probability map showing all non-crowd areas
+        
+        **🎯 Hotspots:**
+        - **📈 Lambda Map**: Highlights crowd density hotspots and expected count per pixel
         """)
     
     # 添加技术信息