Update app.py

app.py

@@ -559,7 +559,7 @@ class VideoProcessor(VideoProcessorBase):
                         
                         # Draw box (skip if tracking is enabled, as tracker will draw boxes)
                         if not self.enable_tracking:
-                        cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
+                            cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
                         
                         # Add label with confidence
                         label_text = f"{label}: {int(confidence * 100)}%"
@@ -584,11 +584,11 @@ class VideoProcessor(VideoProcessorBase):
                     
                     # Draw detected faces (skip if tracking is enabled)
                     if not self.enable_tracking:
-                    for face in faces:
-                        x, y, w, h = face["box"]
-                        
-                        # Draw box
-                        cv2.rectangle(img, (x, y), (x + w, y + h), (0, 0, 255), 2)
+                        for face in faces:
+                            x, y, w, h = face["box"]
+                            
+                            # Draw box
+                            cv2.rectangle(img, (x, y), (x + w, y + h), (0, 0, 255), 2)
                 except Exception as e:
                     cv2.putText(img, f"Face Detection Error: {str(e)[:30]}", 
                                (10, 120), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 255), 2)
@@ -2221,13 +2221,12 @@ def main():
                                                 if "faces" in detection_stats:
                                                     st.metric("Faces Detected", detection_stats["faces"])
                                     
-                                    # List with counts
                                     st.markdown("##### Top Objects")
-                                    for obj, count in list(sorted_objects.items())[:10]:
-                                        st.markdown(f"- **{obj}**: {count} occurrences")
-                                else:
-                                    st.info("No objects detected in the video.")
-                                
+                                    if sorted_objects:  # Check if there are any sorted objects
+                                        for obj, count in list(sorted_objects.items())[:10]:
+                                            st.markdown(f"- **{obj}**: {count} occurrences")
+                                    else:
+                                        st.info("No objects detected in the video.")
                                 with tab2:
                                     st.markdown("#### 🔄 Motion Analysis")