import cv2
import mediapipe as mp

def get_face_landmarks(image, draw=False, static_image_mode=True):

    # Read the input image
    image_input_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

    face_mesh = mp.solutions.face_mesh.FaceMesh(static_image_mode=static_image_mode,
                                                max_num_faces=1,
                                                min_detection_confidence=0.5)
    image_rows, image_cols, _ = image.shape
    results = face_mesh.process(image_input_rgb)

    image_landmarks = []

    if results.multi_face_landmarks:

        if draw:

            mp_drawing = mp.solutions.drawing_utils
            mp_drawing_styles = mp.solutions.drawing_styles
            drawing_spec = mp_drawing.DrawingSpec(thickness=2, circle_radius=1)

            mp_drawing.draw_landmarks(
                image=image,
                landmark_list=results.multi_face_landmarks[0],
                connections=mp.solutions.face_mesh.FACEMESH_CONTOURS,
                landmark_drawing_spec=drawing_spec,
                connection_drawing_spec=drawing_spec)

        ls_single_face = results.multi_face_landmarks[0].landmark
        xs_ = []
        ys_ = []
        zs_ = []
        for idx in ls_single_face:
            xs_.append(idx.x)
            ys_.append(idx.y)
            zs_.append(idx.z)
        for j in range(len(xs_)):
            image_landmarks.append(xs_[j] - min(xs_))
            image_landmarks.append(ys_[j] - min(ys_))
            image_landmarks.append(zs_[j] - min(zs_))

    return image_landmarks