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f"https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/{filename}" + response = requests.get(url) + response.raise_for_status() # Check if the request was successful + with open(filename, 'wb') as f: + f.write(response.content) + +def capture_and_grayscale(): + filename = 'haarcascade_frontalface_default.xml' + + if not os.path.isfile(filename): + print(f"{filename} not found, downloading...") + download_haarcascade(filename) + + # Load the cascade for face detection + face_cascade = cv2.CascadeClassifier(filename) + + # Connect to the webcam + cap = cv2.VideoCapture(0) + + # Check if the webcam is opened correctly + if not cap.isOpened(): + raise IOError("Cannot open webcam") + + while True: + # Read the current frame from the webcam + ret, frame = cap.read() + + if not ret: + break + + # Convert the image to grayscale + gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) + + # Detect faces + faces = face_cascade.detectMultiScale(gray, 1.1, 4) + + # Convert grayscale image back to BGR + gray_bgr = cv2.cvtColor(gray, cv2.COLOR_GRAY2BGR) + + # Replace the grayscale face area with the original colored face + for (x, y, w, h) in faces: + gray_bgr[y:y+h, x:x+w] = frame[y:y+h, x:x+w] + cv2.rectangle(gray_bgr, (x, y), (x+w, y+h), (0, 255, 0), 2) + + # Display the image + cv2.imshow('Input', gray_bgr) + + # Break the loop if 'q' is pressed + if cv2.waitKey(1) & 0xFF == ord('q'): + break + + # Release the VideoCapture object + cap.release() + + # Destroy all windows + cv2.destroyAllWindows() + +if __name__ == '__main__': + capture_and_grayscale()