Update main.py

Author: Mmabiaa

Python_Begginer_Projects/Intermediate/Face Dention Program/main.py

@@ -1,30 +1,45 @@
 import cv2
+import os
 
-# Load the pre-trained Haar Cascade classifier for face detection
-face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+# Check if the XML file exists in the specified path
+if not os.path.isfile(r'C:\Users\dell\OneDrive\Documents\Programming\Python\Python_Begginer_Projects\Intermediate\Face Dention Program\haarcascade_frontalface_default.xml'):
+    print("XML file not found!")
+else:
+    print("XML file found!")
 
-# Start video capture from the webcam
+# Load the pre-trained Haar cascade for face detection
+face_cascade = cv2.CascadeClassifier(r'C:\Users\dell\OneDrive\Documents\Programming\Python\Python_Begginer_Projects\Intermediate\Face Dention Program\haarcascade_frontalface_default.xml')
+
+# Check if the cascade is loaded properly
+if face_cascade.empty():
+    raise IOError("Unable to load the cascade classifier xml file")
+
+# Initialize video capture from webcam (camera 0)
 video_capture = cv2.VideoCapture(0)
 
 while True:
-    # Capture frame-by-frame
     ret, frame = video_capture.read()
-    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)  # Convert to grayscale
+    if not ret:
+        print("Failed to capture frame")
+        break
+    
+    # Convert the frame to grayscale
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
 
     # Detect faces in the image
     faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)
 
-    # Draw rectangles around detected faces
+    # Draw rectangles around the faces
     for (x, y, w, h) in faces:
-        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)
+        cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
 
     # Display the resulting frame
     cv2.imshow('Video', frame)
 
-    # Break the loop on 'q' key press
+    # Break the loop when the 'q' key is pressed
     if cv2.waitKey(1) & 0xFF == ord('q'):
         break
 
-# Release the capture and close windows
+# Release the video capture object and close any OpenCV windows
 video_capture.release()
 cv2.destroyAllWindows()