Update main.py

Author: Mmabiaa

Python_Begginer_Projects/Intermediate/Face Dention Program/main.py

@@ -1,35 +1,30 @@
-import cv2
-
-# Load the pre-trained Haar cascade for face detection
-face_cascade = cv2.CascadeClassifier(r'Intermediate\Face Dention Program\haarcascade_frontalface_default.xml')
-
-# Read the input image (use raw string for path)
-image_path = r'image.jpg'
-
-# Check if the image exists and is loaded properly
-image = cv2.imread(image_path)
-if image is None:
-    print("Error: Could not open or find the image.")
-    exit()
-
-# Convert the image to grayscale
-gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
-
-# Detect faces in the image
-faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)
-
-# Draw rectangles around the faces
-for (x, y, w, h) in faces:
-    cv2.rectangle(image, (x, y), (x + w, y + h), (255, 0, 0), 2)
-
-# Display the result
-cv2.imshow('Face Detection', image)
-
-# Wait for a key press to close the window
-cv2.waitKey(0)
-
-# Save the result
-cv2.imwrite('Face_detected.jpg', image)
-
-# Close any open OpenCV windows
-cv2.destroyAllWindows()
+import cv2
+
+# Load the pre-trained Haar Cascade classifier for face detection
+face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+
+# Start video capture from the webcam
+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
+
+    # Detect faces in the image
+    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)
+
+    # Draw rectangles around detected faces
+    for (x, y, w, h) in faces:
+        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
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+# Release the capture and close windows
+video_capture.release()
+cv2.destroyAllWindows()