28 lines
787 B
Python
28 lines
787 B
Python
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import cv2
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# Load the Haar cascade classifier for face detection
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face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
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# Load the image
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img_path = 'path/to/your/cat/image.jpg' # Replace with the path to your cat image
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img = cv2.imread(img_path)
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if img is None:
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print(f"Error: Could not load image at {img_path}")
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exit()
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# Convert the image to grayscale
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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# Detect faces in the image
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faces = face_cascade.detectMultiScale(gray, 1.1, 4)
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# Draw rectangles around the detected faces
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for (x, y, w, h) in faces:
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cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
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# Display the image with detected faces
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cv2.imshow('Cat Face Detection', img)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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