#导入工具包
from collections import OrderedDict
import numpy as np
import argparse
import dlib
import cv2
#https://ibug.doc.ic.ac.uk/resources/facial-point-annotations/
#http://dlib.net/files/
# 参数
ap = argparse.ArgumentParser()
ap.add_argument("-p", "--shape-predictor", required=True,
help="path to facial landmark predictor")
ap.add_argument("-i", "--image", required=True,
help="path to input image")
args = vars(ap.parse_args())
FACIAL_LANDMARKS_68_IDXS = OrderedDict([
("mouth", (48, 68)),
("right_eyebrow", (17, 22)),
("left_eyebrow", (22, 27)),
("right_eye", (36, 42)),
("left_eye", (42, 48)),
("nose", (27, 36)),
("jaw", (0, 17))
])
FACIAL_LANDMARKS_5_IDXS = OrderedDict([
("right_eye", (2, 3)),
("left_eye", (0, 1)),
("nose", (4))
])
def shape_to_np(shape, dtype="int"):
# 创建68*2
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