SITE_PACKAGES = '/Users/daniel/.virtualenvs/lesson_2/lib/python3.7/site-packages'
MODEL_PATH = '/Users/daniel/PycharmProjects/lessons/lesson_2/data/shape_predictor_68_face_landmarks.dat'
OP_SRC_NAME = 'videodevin1'
OP_TABLE_NAME = 'table1'
import sys
sys.path.append(SITE_PACKAGES)
import cv2
import dlib

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


def onValueChange(channel, sampleIndex, val, prev):
    tiffile = op(OP_SRC_NAME).save()
    im = cv2.imread(tiffile, -1)

    grayFrame = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)

    faces = detector(grayFrame)
    t = op(OP_TABLE_NAME)
    for face in faces:
        landmarks = predictor(grayFrame, face)
        for n in range(0, 68):
            t[n, 0] = landmarks.part(n).x
            t[n, 1] = landmarks.part(n).y

    return