Update README.md

README.md

@@ -82,6 +82,8 @@ pip install vaas
 
 ## Usage
 
+### Basic inference
+
 ```python
 from vaas.inference.pipeline import VAASPipeline
 from PIL import Image
@@ -99,7 +101,7 @@ print(result["S_H"])
 anomaly_map = result["anomaly_map"]
 ```
 
-### Output Format
+#### Output Format
 
 ```python
 {
@@ -110,6 +112,32 @@ anomaly_map = result["anomaly_map"]
 }
 ```
 
+### Inference with visual explanation
+
+VAAS can also generate a qualitative visualization combining:
+
+* Patch-level anomaly heatmaps (Px)
+* Global attention maps (Fx)
+* Final hybrid anomaly score (S_H)
+
+```python
+pipeline.visualize(
+    image="image.jpg",
+    save_path="vaas_visualization.png",
+    mode="all",        # options: "all", "px", "binary", "fx"
+    threshold=0.5,
+)
+```
+
+This will save a figure containing:
+
+* Original image
+* Patch-level anomaly overlays
+* Global attention overlays
+* A gauge-style visualization of the hybrid anomaly score
+
+![Inference with visual example](./methodology.png)
+
 ---
 
 ## Model Files