calc_lfwa

if len(sys.argv) != 3:
    print(
        "Give the path to the trained shape predictor model as the first "
        "argument and then the directory containing the facial images.\n"
        "For example, if you are in the python_examples folder then "
        "execute this program by running:\n"
        "    ./face_landmark_detection.py shape_predictor_68_face_landmarks.dat ../examples/faces\n"
        "You can download a trained facial shape predictor from:\n"
        "    http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2")
    exit()

import sys
import os
import dlib
import glob
import matplotlib.pyplot as plt
from skimage import io
predictor_path = sys.argv[1]
faces_folder_path = sys.argv[2]

detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(predictor_path)

i=0;

for f in glob.glob(os.path.join(faces_folder_path, "*.jpg")):
	print("Processing file: {}".format(f))
    img = io.imread(f)

    dets = detector(img, 1)
    print("Number of faces detected: {}".format(len(dets)))
    for k, d in enumerate(dets):
        print("Detection {}: Left: {} Top: {} Right: {} Bottom: {}".format(
            k, d.left(), d.top(), d.right(), d.bottom()))
        # Get the landmarks/parts for the face in box d.
        shape = predictor(img, d)
	
	# left eye = 36, 39    ; right eye = 42,45 ; nose tip = 33 ;   mouth left = 48;  mouth right = 54;
	left_eye_left_x = left_eye_left_x + shape.part(36).x
	left_eye_left_y = left_eye_left_y + shape.part(36).y
	left_eye_right_x = left_eye_left_y + shape.part(39).x
	left_eye_right_y = left_eye_right_y + shape.part(39).y
	right_eye_left_x = right_eye_left_x + shape.part(39).x
	right_eye_left_y = right_eye_left_y + shape.part(39).y
	right_eye_right_x = right_eye_right_x + shape.part(45).x
	right_eye_right_y = right_eye_right_y + shape.part(45).y
	nose_tip_x = nose_tip_x + shape.part(33).x
	nose_tip_y = nose_tip_y + shape.part(33).y
	mouth_left_x = mouth_left_x + shape.part(48).x
	mouth_left_y = mouth_left_y + shape.part(48).y
	mouth_right_x = mouth_left_y + shape.part(54).x
	mouth_right_y = mouth_right_y + shape.part(54).y
	# for i in range(37,38):
	    # print dir(shape.part(i))
	    # plt.plot(shape.part(i).x, shape.part(i).y, 'o')
        #print("Part 0: {}, Part 1: {}, Part 3: {} ...".format(shape.part(0),                                                  shape.part(1), shape.part(2)))
        # Draw the face landmarks on the screen.
        #win.add_overlay(shape)
    # plt.show()
    #win.add_overlay(dets)
    # dlib.hit_enter_to_continue()

print("left eye position: ", left_eye_left_x/1000,",", left_eye_left_y/1000, " ", left_eye_right_x/1000, ",", left_eye_right_y/1000,
		"right eye position: ", right_eye_left_x/1000, ",", right_eye_left_y/1000, " ", right_eye_right_x/1000, ",", right_eye_right_y/1000, " \n", 
		"nose tip", nose_tip_x/1000, ",", nose_tip_y/1000, " \n"
		"mouth:", mouth_left_x/1000, ",", mouth_left_y/1000," ", mouth_right_x/1000,",", mouth_right_y/1000);