Update app.py

app.py

@@ -60,39 +60,39 @@ if file_name is not None:
 
     # Checking if faces are detected
     if len(encodesCurFrame) > 0:
-        # Assuming that encodeListknown is defined and populated in your code
         for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
-            # Get the top-left and bottom-right coordinates of the face
-            top, right, bottom, left = faceLoc
-            
-            # Draw a rectangle around the face
-            cv2.rectangle(image, (left*4, top*4), (right*4, bottom*4), (0, 255, 0), 2)
-            
-            # Assuming that classnames is defined and populated in your code
+            # Assuming that encodeListknown is defined and populated in your code
             matches = face_recognition.compare_faces(encodeListknown, encodeFace)
             faceDis = face_recognition.face_distance(encodeListknown, encodeFace)
             
             # Initialize name as Unknown
             name = "Unknown"
-            
+        
             # Check if there's a match with known faces
             if True in matches:
                 matchIndex = np.argmin(faceDis)
                 name = classnames[matchIndex].upper()
-            
-            # Draw text label with the recognized name above the rectangle
-            cv2.putText(image, name, (left*4, top*4 - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
+                
+            # Append recognized name to the list
+            recognized_names.append(name)
+        
+            # Draw rectangle around the face
+            y1, x2, y2, x1 = faceLoc
+            y1, x2, y2, x1 = (y1 * 4), (x2 * 4), (y2 * 4) ,(x1 * 4)
+            image = image.copy()
+            cv2.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), 2)
+            cv2.putText(image, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
             
             # Store attendance in SQLite database
             add_attendance(name)
-        
+            
         # Display the image with recognized faces
         st.image(image, use_column_width=True, output_format="PNG")
 
-
         # Display recognized names
         st.write("Recognized Names:")
         for i, name in enumerate(recognized_names):
             st.write(f"Face {i+1}: {name}")
     else:
         st.warning("No faces detected in the image. Face recognition failed.")
+