Update app.py

app.py

@@ -71,6 +71,8 @@ class DicomAnalyzer:
             )
             if len(normalized.shape) == 2:
                 normalized = cv2.cvtColor(normalized, cv2.COLOR_GRAY2RGB)
+            else:
+                normalized = cv2.cvtColor(normalized, cv2.COLOR_BGR2RGB)
             return normalized
         except Exception as e:
             print(f"Error normalizing image: {str(e)}")
@@ -176,6 +178,9 @@ class DicomAnalyzer:
             zoomed = cv2.resize(self.original_display, (new_width, new_height), 
                               interpolation=cv2.INTER_CUBIC)
 
+            # Convert to BGR for drawing
+            zoomed_bgr = cv2.cvtColor(zoomed, cv2.COLOR_RGB2BGR)
+
             # Draw marks with ImageJ-like yellow circle
             for x, y, diameter in self.marks:
                 # Calculate zoomed coordinates correctly
@@ -184,10 +189,10 @@ class DicomAnalyzer:
                 zoomed_diameter = int(diameter * self.zoom_factor)
                 
                 # Draw main circle - Pure yellow
-                cv2.circle(zoomed,
+                cv2.circle(zoomed_bgr,
                           (zoomed_x, zoomed_y),
                           zoomed_diameter // 2,
-                          (0, 255, 255),  # BGR: Pure yellow
+                          (255, 255, 0),  # BGR: Pure yellow
                           1,  # Thin line
                           lineType=cv2.LINE_AA)
                 
@@ -197,13 +202,16 @@ class DicomAnalyzer:
                     angle = 2 * np.pi * i / num_points
                     point_x = int(zoomed_x + (zoomed_diameter/2) * np.cos(angle))
                     point_y = int(zoomed_y + (zoomed_diameter/2) * np.sin(angle))
-                    cv2.circle(zoomed,
+                    cv2.circle(zoomed_bgr,
                               (point_x, point_y),
                               1,
-                              (0, 255, 255),  # BGR: Pure yellow
+                              (255, 255, 0),  # BGR: Pure yellow
                               -1,
                               lineType=cv2.LINE_AA)
 
+            # Convert back to RGB for display
+            zoomed = cv2.cvtColor(zoomed_bgr, cv2.COLOR_BGR2RGB)
+
             # Extract visible portion considering pan
             visible_height = min(height, new_height)
             visible_width = min(width, new_width)