2025-07-31 23:29 🐛

app.py

@@ -803,8 +803,8 @@ with gr.Blocks(css=css, theme=gr.themes.Soft(), title="ZIP Crowd Counting") as d
         - **📊 Sampling Zero Map**: Shows areas where people could be present but happen not to appear in the current image. These zeros are modeled by (1-π) * exp(-λ), where the expected count λ is near zero.
         - **🎯 Complete Zero Map**: A combined visualization of zero probabilities, capturing both structural and sampling zeros. This map reflects overall non-crowd likelihood per region.
         
-        **🎯 Hotspots:**
-        - **📈 Lambda Map**: Highlights areas with high expected crowd density. Each value represents the expected number of people in that region, modeled by the Poisson intensity (λ). This map focuses on *how many* people are likely to be present, assuming people could appear there.
+        **🔥 Hotspots:**
+        - **📈 Lambda Map**: Highlights areas with high expected crowd density. Each value represents the expected number of people in that region, modeled by the Poisson intensity (λ). This map focuses on *how many* people are likely to be present, **WITHOUT** assuming people could appear there. ⚠️ Lambda Map **NEEDS** to be combined with Structural Zero Map by (1-π) * λ to produce the final density map.
         """)
     
     # 添加技术信息