update info

app.py

@@ -8,27 +8,29 @@ def create_demo():
 
 **Performance Metrics:**
 - **88% mAP\\@0.5** detection accuracy
-- **92% pixel-level** segmentation accuracy  
+- **75.6% Dice Score** segmentation accuracy  
 - **35+ FPS** real-time processing
-- **YOLOv8 + U-Net** dual architecture
+- **YOLOv8 + U-Net** dual architecture with intelligent stabilization
 
 ### 🏥 Clinical Capabilities
-- Real-time polyp detection and localization
-- Precise boundary segmentation with pixel-level accuracy
-- Quantitative size measurement for clinical decision support
+- Real-time polyp detection and localization with smooth tracking
+- Precise boundary segmentation with fluid heatmap visualization
+- Intelligent measurement system with anti-fluctuation technology
+- Automated size classification and risk assessment
 - Optimized for endoscopy workflow integration
 
 ### 🎯 Technical Highlights
 - **Multi-modal AI**: Combined object detection and segmentation
 - **Clinical-grade performance**: Sub-second processing times
-- **Automated measurement**: Size, area, and morphometric analysis
+- **Intelligent measurement**: Size, area, and morphometric analysis with temporal stabilization
+- **Adaptive visualization**: Real-time heatmaps that adjust to camera movement
 - **Real-time inference**: GPU-accelerated deployment ready
 
 ---
 
 ## 🎥 Live System Demonstration
 
-**Real-time EndoSight AI in action** - showcasing automated polyp detection, segmentation, and measurement analysis on endoscopy footage.
+**Real-time EndoSight AI in action** - showcasing automated polyp detection, intelligent segmentation, stabilized measurement analysis, and clinical classification on endoscopy footage.
 """
     
     footer = """
@@ -49,7 +51,7 @@ def create_demo():
 ### 📞 Professional Contact
 
 **Technical Lead**: Daniel Cavadia  
-**Email**: dan.cavadia@gmail.com  
+**Email**: [dan.cavadia@gmail.com](mailto:dan.cavadia@gmail.com)  
 
 ---
 
@@ -64,16 +66,20 @@ def create_demo():
         # Simple video display (no fancy features in older version)
         video = gr.Video(
             value="demo_video.mp4",
-            label="EndoSight AI Real-time Detection & Segmentation"
+            label="EndoSight AI Real-time Detection & Segmentation with Intelligent Measurements"
         )
         
         gr.Markdown("""
 ### 🔍 What You're Seeing:
-- **Blue bounding boxes**: Real-time polyp detection
-- **Colored masks**: Precise segmentation boundaries  
-- **Measurement overlays**: Automated size calculations
-- **Processing metrics**: FPS and accuracy indicators
-- **Multi-polyp detection**: Simultaneous analysis capability
+- **Cyan bounding boxes**: Real-time polyp detection with smooth tracking
+- **Fluid heatmaps**: Dynamic segmentation visualization that adapts to movement
+- **Bottom-left panels**: Stabilized measurement displays with clinical classifications
+- **Size categories**: Diminutive (<5mm), Small (5-9mm), Large (≥10mm) classifications
+- **Risk assessment**: Low/Moderate/High risk indicators based on polyp size
+- **Measurement accuracy**: Diameter and area calculations with error margins
+- **Anti-fluctuation**: Intelligent system prevents measurement swings during camera movement
+- **Processing metrics**: Real-time FPS and confidence indicators
+- **Multi-polyp detection**: Simultaneous analysis capability with unique tracking IDs
 """)
         
         gr.Markdown(footer)