kleinhe
init
c3d0293
import cv2
import mediapipe as mp
from mediapipe import solutions
from mediapipe.framework.formats import landmark_pb2
import numpy as np
def draw_mediapipe_landmarks(rgb_image: object, face_landmarks_list: object) -> object:
annotated_image = np.copy(rgb_image)
# Loop through the detected faces to visualize.
for idx in range(len(face_landmarks_list)):
face_landmarks = face_landmarks_list[idx]
# Draw the face landmarks.
face_landmarks_proto = landmark_pb2.NormalizedLandmarkList()
face_landmarks_proto.landmark.extend([
landmark_pb2.NormalizedLandmark(x=landmark.x, y=landmark.y, z=landmark.z) for landmark in face_landmarks
])
# print(len(mp.solutions.face_mesh.FACEMESH_TESSELATION))
# exit()
solutions.drawing_utils.draw_landmarks(
image=annotated_image,
landmark_list=face_landmarks_proto,
connections=mp.solutions.face_mesh.FACEMESH_TESSELATION,
# connections=FACEMESH_NOSE,
landmark_drawing_spec=None,
connection_drawing_spec=mp.solutions.drawing_styles.get_default_face_mesh_tesselation_style()
)
solutions.drawing_utils.draw_landmarks(
image=annotated_image,
landmark_list=face_landmarks_proto,
connections=mp.solutions.face_mesh.FACEMESH_CONTOURS,
landmark_drawing_spec=None,
connection_drawing_spec=mp.solutions.drawing_styles.get_default_face_mesh_contours_style())
solutions.drawing_utils.draw_landmarks(
image=annotated_image,
landmark_list=face_landmarks_proto,
connections=mp.solutions.face_mesh.FACEMESH_IRISES,
landmark_drawing_spec=None,
connection_drawing_spec=mp.solutions.drawing_styles.get_default_face_mesh_iris_connections_style())
return annotated_image
def draw_landmarks(canvas, landmarks, eps=1e-4, fill=(0, 0, 0), thickness=-1):
h, w, c = canvas.shape
for lmk in landmarks:
x, y = lmk
x = int(x * w)
y = int(y * h)
if eps < x <= w and eps < y <= h:
cv2.circle(canvas, (x, y), 3, fill, thickness=thickness)
return canvas