MediaPipe能够提供脸部多个点的x,y,z点,使其能够生成一个脸部网格。但是,输出只是x,y,z点。有没有办法知道这些点中的哪些是嘴唇的点?
import cv2
import mediapipe as mp
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
mp_face_mesh = mp.solutions.face_mesh
# For static images:
IMAGE_FILES = []
drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1)
with mp_face_mesh.FaceMesh(
static_image_mode=True,
max_num_faces=1,
refine_landmarks=True,
min_detection_confidence=0.5) as face_mesh:
for idx, file in enumerate(IMAGE_FILES):
image = cv2.imread(file)
# Convert the BGR image to RGB before processing.
results = face_mesh.process(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
# Print and draw face mesh landmarks on the image.
if not results.multi_face_landmarks:
continue
annotated_image = image.copy()
for face_landmarks in results.multi_face_landmarks:
print('face_landmarks:', face_landmarks)
mp_drawing.draw_landmarks(
image=annotated_image,
landmark_list=face_landmarks,
connections=mp_face_mesh.FACEMESH_TESSELATION,
landmark_drawing_spec=None,
connection_drawing_spec=mp_drawing_styles
.get_default_face_mesh_tesselation_style())
mp_drawing.draw_landmarks(
image=annotated_image,
landmark_list=face_landmarks,
connections=mp_face_mesh.FACEMESH_CONTOURS,
landmark_drawing_spec=None,
connection_drawing_spec=mp_drawing_styles
.get_default_face_mesh_contours_style())
mp_drawing.draw_landmarks(
image=annotated_image,
landmark_list=face_landmarks,
connections=mp_face_mesh.FACEMESH_IRISES,
landmark_drawing_spec=None,
connection_drawing_spec=mp_drawing_styles
.get_default_face_mesh_iris_connections_style())
cv2.imwrite('/tmp/annotated_image' + str(idx) + '.png', annotated_image)
输出:
landmark {
x: 0.5328186750411987
y: 0.3934963345527649
z: -0.008206618018448353
}
landmark {
x: 0.5807108879089355
y: 0.3586674928665161
z: 0.017649170011281967
}
landmark {
x: 0.5844370126724243
y: 0.3515523076057434
z: 0.01841720938682556
}
...and more such points
1条答案
按热度按时间093gszye1#
确保导入matplotlib
import matplotlib.pyplot as plt
。脸部的点与图中的点相匹配。您需要下载图片并放大才能看到数字。