Are the face alignement landmark result same as dlib?

[lucasjinreal]

Just wonder is these code are same result?

import face_alignment
# import dlib

class Croper:
    def __init__(self, path_of_lm):
        # download model from: http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2
        # self.predictor = dlib.shape_predictor(path_of_lm)
        self.fa = face_alignment.FaceAlignment(face_alignment.LandmarksType.TWO_D, flip_input=False)

    # def get_landmark(self, img_np):
    #     """get landmark with dlib
    #     :return: np.array shape=(68, 2)
    #     """
    #     detector = dlib.get_frontal_face_detector()
    #     dets = detector(img_np, 1)
    #     #     print("Number of faces detected: {}".format(len(dets)))
    #     #     for k, d in enumerate(dets):
    #     if len(dets) == 0:
    #         return None
    #     d = dets[0]
    #     # Get the landmarks/parts for the face in box d.
    #     shape = self.predictor(img_np, d)
    #     #         print("Part 0: {}, Part 1: {} ...".format(shape.part(0), shape.part(1)))
    #     t = list(shape.parts())
    #     a = []
    #     for tt in t:
    #         a.append([tt.x, tt.y])
    #     lm = np.array(a)
    #     # lm is a shape=(68,2) np.array
    #     return lm

    def get_landmark(self, img_np):
        """get landmark with dlib
        :return: np.array shape=(68, 2)
        """
        lm = self.fa.get_landmarks(img_np)
        lm = np.array(lm)[0]
        print(lm)
        print(lm.shape)
        # lm is a shape=(68,2) np.array
        return lm

I wanna replace dlib with face_alignement, does their behaviour are same?