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Thank you for your anwer

Is there any case where the confidence distance <0?

Is there any case where the confidence distance <0?

Thank you. This is all I need

I am using OpenCV on python to identify faces. A quick tool to help me deploy it is OpenCV's LBPHFaceRecognizer. However, I am wondering about the following parameters. When I use

recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read('ckpt_face/trainer.yml')
id, confidence_face = recognizer.predict(face)

id will help me know who this face is among the trained faces. but confidence_face is not the corresponding face recognition rate. How do I know the face recognition rate? How much confidence_face do you choose in a range? Thank you everyone for your help

How to calculate face recognition rate and choose threshold when using LBPHFaceRecognizer in OpenCV I am using OpenCV on

How to calculate face recognition rate and choose threshold when using LBPHFaceRecognizer in OpenCV I am using OpenCV on

How to calculate face recognition rate and choose threshold when using LBPHFaceRecognizer in OpenCV I am using OpenCV on

Thanks you! How to you know if eyes closed in 3 seconds

I think "eyes = eyesCascade.detectMultiScale(roi_gray)" will detect eyes area And " twoeyes = twoeyesCascade.detectMultiScale(roi_gray)" will detect two eyes. When I see eyes area but don't see two eyes that's when detect closed eyes.

You can suggest a few alternatives feasible.

This is a program to detect eyes closed. But i want after eyes closed 3 seconds, it will print "Warning" in terminal.

      for (x, y, w, h) in faces:
            cv2.rectangle(image, (x, y), (x + w, y + h), (255, 255, 0), 2)

            roi_gray = gray[y:y+h, x:x+w]
            roi_color = image[y:y+h, x:x+w]
            eyes = eyesCascade.detectMultiScale(roi_gray)
            if eyes is not():
                for (ex,ey,ew,eh) in eyes:
                    cv2.rectangle(roi_color,(ex -10 ,ey - 10),(ex+ew + 10,ey+eh + 10),(0,255,0),2)
                    twoeyes = twoeyesCascade.detectMultiScale(roi_gray)
                    checkyeys = 0
                    if twoeyes is not():
                        for (exx,eyy,eww,ehh) in twoeyes:
                            checkyeys = 0
                            led.write(1)
                            cv2.rectangle(roi_color,(exx-5 ,eyy -5  ),(exx+eww -5,eyy+ehh -5 ),(0,0, 255),2)
                    else:
                        #when eyes close
                        print "------------------------------------"