from src import detect_faces
from PIL import Image
import cv2

prefix = './images/'
imageName = 'flap_profile.jpg'

with Image.open(prefix+imageName) as image:
    bounding_boxes, landmarks = detect_faces(image)
    imageCV = cv2.imread(prefix+imageName)
    for (k, bounding_box) in enumerate(bounding_boxes):
	bounding_box = [int(i) for i in bounding_box]
	print bounding_box
        new_image = imageCV[bounding_box[1]:bounding_box[3]+1, bounding_box[0]:bounding_box[2]+1]
	cv2.imshow("b4 resize", new_image)
        new_image = cv2.resize(new_image, (96,96))
	cv2.imshow("after resize", new_image)
        cv2.imwrite(prefix + imageName[:-4] + '-{0:04}'.format(k) + '.jpg', new_image)
	cv2.waitKey(0)