extract_faces.py

import cv2
import sys

image = sys.argv[1]
image = cv2.imread(image)
gray_img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
faces = faceCascade.detectMultiScale(
        gray_img,
        scaleFactor=1.3,
        minNeighbors=3,
        minSize=(30, 30)
)
print(f"[INFO] Found {len(faces)} Faces!")

for (x,y,w,h) in faces:
    cv2.rectangle(image, (x,y), (x+w, y+h), (0,255,0), 2)
    roi_obj = image[y:y+h, x:x+w]
    print("[INFO] Objects found. Saving locally")
    cv2.imwrite(str(w) + str(h) + "_faces.jpg", roi_obj)

status = cv2.imwrite("opencv_face_detected.jpg", image)
print("[INFO] Image face_detected.jpg written to the system: ", status)


# cv2.imshow("image",image)
# cv2.waitKey(0)
# cv2.destroyAllWindows()