import cv2 import mediapipe as mp import numpy as np from mediapipe.framework.formats import landmark_pb2 class FaceMeshVisualizer: def __init__(self, forehead_edge=False, upface_only=False, draw_eye=True, draw_head=False, draw_iris=True, draw_eyebrow=True, draw_mouse=True, draw_nose=True, draw_pupil=True ): self.mp_drawing = mp.solutions.drawing_utils mp_face_mesh = mp.solutions.face_mesh self.mp_face_mesh = mp_face_mesh self.forehead_edge = forehead_edge DrawingSpec = mp.solutions.drawing_styles.DrawingSpec f_thick = 2 f_rad = 1 right_iris_draw = DrawingSpec(color=(10, 200, 250), thickness=f_thick, circle_radius=f_rad) right_eye_draw = DrawingSpec(color=(10, 200, 180), thickness=f_thick, circle_radius=f_rad) right_eyebrow_draw = DrawingSpec(color=(10, 220, 180), thickness=f_thick, circle_radius=f_rad) left_iris_draw = DrawingSpec(color=(250, 200, 10), thickness=f_thick, circle_radius=f_rad) left_eye_draw = DrawingSpec(color=(180, 200, 10), thickness=f_thick, circle_radius=f_rad) left_eyebrow_draw = DrawingSpec(color=(180, 220, 10), thickness=f_thick, circle_radius=f_rad) head_draw = DrawingSpec(color=(10, 200, 10), thickness=f_thick, circle_radius=f_rad) nose_draw = DrawingSpec(color=(200, 200, 200), thickness=f_thick, circle_radius=f_rad) mouth_draw_obl = DrawingSpec(color=(10, 180, 20), thickness=f_thick, circle_radius=f_rad) mouth_draw_obr = DrawingSpec(color=(20, 10, 180), thickness=f_thick, circle_radius=f_rad) mouth_draw_ibl = DrawingSpec(color=(100, 100, 30), thickness=f_thick, circle_radius=f_rad) mouth_draw_ibr = DrawingSpec(color=(100, 150, 50), thickness=f_thick, circle_radius=f_rad) mouth_draw_otl = DrawingSpec(color=(20, 80, 100), thickness=f_thick, circle_radius=f_rad) mouth_draw_otr = DrawingSpec(color=(80, 100, 20), thickness=f_thick, circle_radius=f_rad) mouth_draw_itl = DrawingSpec(color=(120, 100, 200), thickness=f_thick, circle_radius=f_rad) mouth_draw_itr = DrawingSpec(color=(150 ,120, 100), thickness=f_thick, circle_radius=f_rad) FACEMESH_LIPS_OUTER_BOTTOM_LEFT = [(61,146),(146,91),(91,181),(181,84),(84,17)] FACEMESH_LIPS_OUTER_BOTTOM_RIGHT = [(17,314),(314,405),(405,321),(321,375),(375,291)] FACEMESH_LIPS_INNER_BOTTOM_LEFT = [(78,95),(95,88),(88,178),(178,87),(87,14)] FACEMESH_LIPS_INNER_BOTTOM_RIGHT = [(14,317),(317,402),(402,318),(318,324),(324,308)] FACEMESH_LIPS_OUTER_TOP_LEFT = [(61,185),(185,40),(40,39),(39,37),(37,0)] FACEMESH_LIPS_OUTER_TOP_RIGHT = [(0,267),(267,269),(269,270),(270,409),(409,291)] FACEMESH_LIPS_INNER_TOP_LEFT = [(78,191),(191,80),(80,81),(81,82),(82,13)] FACEMESH_LIPS_INNER_TOP_RIGHT = [(13,312),(312,311),(311,310),(310,415),(415,308)] FACEMESH_CUSTOM_FACE_OVAL = [(176, 149), (150, 136), (356, 454), (58, 132), (152, 148), (361, 288), (251, 389), (132, 93), (389, 356), (400, 377), (136, 172), (377, 152), (323, 361), (172, 58), (454, 323), (365, 379), (379, 378), (148, 176), (93, 234), (397, 365), (149, 150), (288, 397), (234, 127), (378, 400), (127, 162), (162, 21)] # mp_face_mesh.FACEMESH_CONTOURS has all the items we care about. face_connection_spec = {} #from IPython import embed #embed() if self.forehead_edge: for edge in mp_face_mesh.FACEMESH_FACE_OVAL: face_connection_spec[edge] = head_draw else: if draw_head: FACEMESH_CUSTOM_FACE_OVAL_sorted = sorted(FACEMESH_CUSTOM_FACE_OVAL) if upface_only: for edge in [FACEMESH_CUSTOM_FACE_OVAL_sorted[edge_idx] for edge_idx in [1,2,9,12,13,16,22,25]]: face_connection_spec[edge] = head_draw else: for edge in FACEMESH_CUSTOM_FACE_OVAL_sorted: face_connection_spec[edge] = head_draw if draw_eye: for edge in mp_face_mesh.FACEMESH_LEFT_EYE: face_connection_spec[edge] = left_eye_draw for edge in mp_face_mesh.FACEMESH_RIGHT_EYE: face_connection_spec[edge] = right_eye_draw if draw_eyebrow: for edge in mp_face_mesh.FACEMESH_LEFT_EYEBROW: face_connection_spec[edge] = left_eyebrow_draw for edge in mp_face_mesh.FACEMESH_RIGHT_EYEBROW: face_connection_spec[edge] = right_eyebrow_draw if draw_iris: for edge in mp_face_mesh.FACEMESH_LEFT_IRIS: face_connection_spec[edge] = left_iris_draw for edge in mp_face_mesh.FACEMESH_RIGHT_IRIS: face_connection_spec[edge] = right_iris_draw #for edge in mp_face_mesh.FACEMESH_RIGHT_EYEBROW: # face_connection_spec[edge] = right_eyebrow_draw # for edge in mp_face_mesh.FACEMESH_RIGHT_IRIS: # face_connection_spec[edge] = right_iris_draw # for edge in mp_face_mesh.FACEMESH_LIPS: # face_connection_spec[edge] = mouth_draw if draw_mouse: for edge in FACEMESH_LIPS_OUTER_BOTTOM_LEFT: face_connection_spec[edge] = mouth_draw_obl for edge in FACEMESH_LIPS_OUTER_BOTTOM_RIGHT: face_connection_spec[edge] = mouth_draw_obr for edge in FACEMESH_LIPS_INNER_BOTTOM_LEFT: face_connection_spec[edge] = mouth_draw_ibl for edge in FACEMESH_LIPS_INNER_BOTTOM_RIGHT: face_connection_spec[edge] = mouth_draw_ibr for edge in FACEMESH_LIPS_OUTER_TOP_LEFT: face_connection_spec[edge] = mouth_draw_otl for edge in FACEMESH_LIPS_OUTER_TOP_RIGHT: face_connection_spec[edge] = mouth_draw_otr for edge in FACEMESH_LIPS_INNER_TOP_LEFT: face_connection_spec[edge] = mouth_draw_itl for edge in FACEMESH_LIPS_INNER_TOP_RIGHT: face_connection_spec[edge] = mouth_draw_itr self.face_connection_spec = face_connection_spec self.pupil_landmark_spec = {468: right_iris_draw, 473: left_iris_draw} self.nose_landmark_spec = {4: nose_draw} self.draw_pupil = draw_pupil self.draw_nose = draw_nose def draw_points(self, image, landmark_list, drawing_spec, halfwidth: int = 2): """We have a custom function to draw the pupils because the mp.draw_landmarks method requires a parameter for all landmarks. Until our PR is merged into mediapipe, we need this separate method.""" if len(image.shape) != 3: raise ValueError("Input image must be H,W,C.") image_rows, image_cols, image_channels = image.shape if image_channels != 3: # BGR channels raise ValueError('Input image must contain three channel bgr data.') for idx, landmark in enumerate(landmark_list.landmark): if idx not in drawing_spec: continue if ( (landmark.HasField('visibility') and landmark.visibility < 0.9) or (landmark.HasField('presence') and landmark.presence < 0.5) ): continue if landmark.x >= 1.0 or landmark.x < 0 or landmark.y >= 1.0 or landmark.y < 0: continue image_x = int(image_cols * landmark.x) image_y = int(image_rows * landmark.y) draw_color = drawing_spec[idx].color image[image_y - halfwidth : image_y + halfwidth, image_x - halfwidth : image_x + halfwidth, :] = draw_color def draw_landmarks(self, image_size, keypoints, normed=False): # print('keypoints',keypoints.shape) # exit() ini_size = [512, 512] image = np.zeros([ini_size[1], ini_size[0], 3], dtype=np.uint8) if keypoints is not None: new_landmarks = landmark_pb2.NormalizedLandmarkList() for i in range(keypoints.shape[0]): landmark = new_landmarks.landmark.add() if normed: landmark.x = keypoints[i, 0] landmark.y = keypoints[i, 1] else: landmark.x = keypoints[i, 0] / image_size[0] landmark.y = keypoints[i, 1] / image_size[1] landmark.z = 1.0 self.mp_drawing.draw_landmarks( image=image, landmark_list=new_landmarks, connections=self.face_connection_spec.keys(), landmark_drawing_spec=None, connection_drawing_spec=self.face_connection_spec ) if self.draw_pupil: self.draw_points(image, new_landmarks, self.pupil_landmark_spec, 3) if self.draw_nose: self.draw_points(image, new_landmarks, self.nose_landmark_spec, 3) image = cv2.resize(image, (image_size[0], image_size[1])) return image def draw_pose(self, image_size, keypoints, normed=False): ini_size = [512, 512] image = np.zeros([ini_size[1], ini_size[0], 3], dtype=np.uint8) if keypoints is not None: new_landmarks = landmark_pb2.NormalizedLandmarkList() for i in range(keypoints.shape[0]): landmark = new_landmarks.landmark.add() if normed: landmark.x = keypoints[i, 0] landmark.y = keypoints[i, 1] else: landmark.x = keypoints[i, 0] / image_size[0] landmark.y = keypoints[i, 1] / image_size[1] landmark.z = 1.0 self.mp_drawing.draw_landmarks( image=image, landmark_list=new_landmarks, connections=self.face_connection_spec.keys(), landmark_drawing_spec=None, connection_drawing_spec=self.face_connection_spec ) # if self.draw_pupil: # self.draw_points(image, new_landmarks, self.pupil_landmark_spec, 3) # if self.draw_nose: # self.draw_points(image, new_landmarks, self.nose_landmark_spec, 3) image = cv2.resize(image, (image_size[0], image_size[1])) return image