import cv2

# Membaca citra
picturePath = 'images/face/Billie Eilish/Billie Eilish_20.jpg'
oripic = cv2.imread(picturePath)
pic2gray = cv2.cvtColor(oripic, cv2.COLOR_BGR2GRAY)

# Muat pre-trained Haar Cascade untuk deteksi wajah
faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

# Deteksi wajah pada gambar
detectFace = faceCascade.detectMultiScale(pic2gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))

# Salin gambar asli untuk ditandai
annotatedPic = oripic.copy()

for i, (x, y, w, h) in enumerate(detectFace, 1):
    # Pemotongan (Cropping) wajah
    croppedFace = oripic[y:y + h, x:x + w]

    # Tampilkan gambar wajah yang terpotong
    cv2.imshow(f'Cropped Face {i}', croppedFace)

# Tampilkan gambar asli dan gambar yang sudah ditandai
cv2.imshow('Original Image', oripic)
cv2.imshow('Detected Faces', annotatedPic)
cv2.waitKey(0)
cv2.destroyAllWindows()