face_extract.py

import cv2
import sys




def extract(face):
    imagePath = face

    image = cv2.imread(imagePath)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=1.3,
        minNeighbors=3,
        minSize=(30, 30)
    )

    # print("[INFO] Found {0} Faces.".format(len(faces)))

    for (x, y, w, h) in faces:
        cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
        roi_color = image[y:y + h, x:x + w]
      
        name = str(w)+str(h)+'_faces.jpg'
        cv2.imwrite(str(w) + str(h) + '_faces.jpg', roi_color)
    return name
# status = cv2.imwrite('faces_detected.jpg', image)
# print("[INFO] Image faces_detected.jpg written to filesystem: ", status)