Question

我看到的例子是predict（）返回（id，置信度），但是当我用cv2和python3尝试时，我收到错误TypeError: 'int' object is not iterable

recognizer = cv2.face.createLBPHFaceRecognizer()
recognizer.load('trained.yml')

# This throws the error
name_id, confidence = recognizer.predict(frame) 
# This runs
name_id = recognizer.predict(frame)

还有其他方式可以获得信心吗？

Answer 1

prediction = model.predict(face_resize)
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 3)
print prediction

if prediction[1]>50 and prediction[1]<85:
cv2.putText(frame,
  '%s - %.0f' % (names[prediction[0]],prediction[1]),
  (x-10, y-10), cv2.FONT_HERSHEY_PLAIN,1,(0, 255, 0))                   
else:
cv2.putText(frame,
  'Unknown',
  (x-10, y-10), cv2.FONT_HERSHEY_PLAIN,1,(0, 0, 255))

如何使用opencv3 LBPHFaceRecognizer和python3获得信心

1 个答案: