import cv2

# Load the Haar cascade classifier for face detection
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

# Load the image
img_path = 'path/to/your/cat/image.jpg'  # Replace with the path to your cat image
img = cv2.imread(img_path)

if img is None:
    print(f"Error: Could not load image at {img_path}")
    exit()

# Convert the image to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Detect faces in the image
faces = face_cascade.detectMultiScale(gray, 1.1, 4)

# Draw rectangles around the detected faces
for (x, y, w, h) in faces:
    cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)

# Display the image with detected faces
cv2.imshow('Cat Face Detection', img)
cv2.waitKey(0)
cv2.destroyAllWindows()