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line 311: code fix suggestion for webcam input

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existing code results in error:

AttributeError: __enter__
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
This commit is contained in:
Pranav Srivastava 2021-02-28 03:18:43 +01:00 committed by GitHub
parent a92cff7a60
commit a6fef0becb
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1 changed files with 13 additions and 15 deletions
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docs/solutions/face_mesh.md
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@ -308,15 +308,13 @@ with mp_face_mesh.FaceMesh(
# For webcam input: # For webcam input:
drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1) drawing_spec = mp_drawing.DrawingSpec(thickness=1, circle_radius=1)
cap = cv2.VideoCapture(0) cap = cv2.VideoCapture(0)
with mp_face_mesh.FaceMesh( face_mesh = mp_face_mesh.FaceMesh(min_detection_confidence=0.5, min_tracking_confidence=0.5)
min_detection_confidence=0.5, while cap.isOpened():
min_tracking_confidence=0.5) as face_mesh:
while cap.isOpened():
success, image = cap.read() success, image = cap.read()
if not success: if not success:
print("Ignoring empty camera frame.") print("Ignoring empty camera frame.")
# If loading a video, use 'break' instead of 'continue'. # If loading a video, use 'break' instead of 'continue'.
continue continue
# Flip the image horizontally for a later selfie-view display, and convert # Flip the image horizontally for a later selfie-view display, and convert
# the BGR image to RGB. # the BGR image to RGB.
@ -330,16 +328,16 @@ with mp_face_mesh.FaceMesh(
image.flags.writeable = True image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
if results.multi_face_landmarks: if results.multi_face_landmarks:
for face_landmarks in results.multi_face_landmarks: for face_landmarks in results.multi_face_landmarks:
mp_drawing.draw_landmarks( mp_drawing.draw_landmarks(
image=image, image=image,
landmark_list=face_landmarks, landmark_list=face_landmarks,
connections=mp_face_mesh.FACE_CONNECTIONS, connections=mp_face_mesh.FACE_CONNECTIONS,
landmark_drawing_spec=drawing_spec, landmark_drawing_spec=drawing_spec,
connection_drawing_spec=drawing_spec) connection_drawing_spec=drawing_spec)
cv2.imshow('MediaPipe FaceMesh', image) cv2.imshow('MediaPipe FaceMesh', image)
if cv2.waitKey(5) & 0xFF == 27: if cv2.waitKey(5) & 0xFF == 27:
break break
cap.release() cap.release()
``` ```