1,
(255, 255, 255),
1,
)
cv2.putText(
frame, str(confidence), (x - 2, y + h + 15), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1
)
else:
cv2.putText(frame, "Unbekannt", (x, y - 5), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (255, 255, 255), 1)
else:
cv2.putText(frame, "Unbekannt", (x, y - 5), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (255, 255, 255), 1)
# Wenn die Person nah genug ist
if h > 250:
eyes = face.detect_eyes(face.crop(image, x, y, w, h))
for i in range(0, len(eyes)):
x, y, w, h = eyes[i]
cv2.rectangle(
frame, (x + x_face, y + y_face - 30), (x + x_face + w + 10, y + y_face + h - 40), (94, 255, 0)
)
cv2.putText(
frame,
"Auge " + str(i),
(x + x_face, y + y_face - 5),
cv2.FONT_HERSHEY_SIMPLEX,
0.5,
(255, 255, 255),
1,
)
print(label_str)
# face rectable
cv2.rectangle(frame, (x, y), (x + w, y + h), 255)
# height
cv2.putText(frame, str(int(h)), (x + w, y + h + 15),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
# label user
cv2.putText(frame, label_str, (x - 3, y - 8),
cv2.FONT_HERSHEY_SIMPLEX, 1.5, (255, 255, 255), 1)
# confidence
cv2.putText(frame, str(int(confidence)), (x - 2, y + h + 15),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
if h > 250:
# If person is close enough, mark the eyes
eyes = face.detect_eyes(face.crop(image, x, y, w, h))
for i in range(0, len(eyes)):
x, y, w, h = eyes[i]
cv2.rectangle(frame, (x + x_face, y + y_face - 30),
(x + x_face + w + 10, y + y_face + h - 40),
(94, 255, 0))
cv2.putText(frame, "Eye " + str(i),
(x + x_face, y + y_face - 5),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255),
1)
if ('DISPLAY' in os.environ):
# Display Image
cv2.imshow('Facial recognition', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break