我正在使用mediapipe在静态图像中找到眼睛虹膜的坐标。我有下一个代码来做这个。在结束时,我运行print('',face_landmarks),并且有所有的坐标x,y,z。如果我运行print('',mp_face_mesh.FACEMESH_IRISES),我只有Iris点的索引,如next:
({(475,476),(477,474),(469,470),(472,469),(471,472),(474,475),(476,477),(470,471)})
如何获得坐标而不是每个虹膜点的索引?
from multiprocessing import connection
import cv2
import mediapipe as mp
import sys
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
mp_face_mesh = mp.solutions.face_mesh
IMAGE_FILES = [("pic1.jpg")]
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)
results = face_mesh.process(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
if not results.multi_face_landmarks:
continue
annotated_image = image.copy()
for face_landmarks in results.multi_face_landmarks:
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())
mp_face_mesh发布于 2022-11-22 10:13:22
从0到467为人脸标志,468 ~ 477为虹膜标志。假设索引468和473是左、右虹膜中心点。你可以得到他们的3D坐标
(lm_left_iris.x, lm_left_iris.y, lm_left_iris.z) = face_landmarks.landmark[468]
(lm_right_iris.x, lm_right_iris.y, lm_right_iris.z) = face_landmarks.landmark[473]https://stackoverflow.com/questions/72891538
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