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import cv2
import itertools
import numpy as np
import mediapipe as mp


class FaceMesh():
    def __init__(self):
        self.mpFaceDetection = mp.solutions.face_detection
        self.face_detection = self.mpFaceDetection.FaceDetection(
            model_selection=0, min_detection_confidence=0.5)
        self.mpDraw = mp.solutions.drawing_utils
        self.mpFaceMesh = mp.solutions.face_mesh
        self.faceMeshImages = self.mpFaceMesh.FaceMesh(
            static_image_mode=True, max_num_faces=2, min_detection_confidence=0.5)
        self.faceMeshVideos = self.mpFaceMesh.FaceMesh(
            static_image_mode=False, max_num_faces=1, min_detection_confidence=0.5, min_tracking_confidence=0.3)
        self.mpDrawStyles = mp.solutions.drawing_styles

    def detectFacialLandmarks(self, image, face_mesh):
        results = face_mesh.process(image[:, :, ::-1])
        output_image = image[:, :, ::-1].copy()
        if results.multi_face_landmarks:
            for face_landmarks in results.multi_face_landmarks:
                self.mpDraw.draw_landmarks(image=output_image, landmark_list=face_landmarks, connections=self.mpFaceMesh.FACEMESH_TESSELATION,
                                           landmark_drawing_spec=None, connection_drawing_spec=self.mpDrawStyles. get_default_face_mesh_tesselation_style())
                self.mpDraw.draw_landmarks(image=output_image, landmark_list=face_landmarks, connections=self.mpFaceMesh.FACEMESH_CONTOURS,
                                           landmark_drawing_spec=None, connection_drawing_spec=self.mpDrawStyles. get_default_face_mesh_contours_style())
        return np.ascontiguousarray(output_image[:, :, ::-1], dtype=np.uint8), results