Распознавание лица

import cv2
import numpy as np
import os
 
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read('trainer/trainer.yml')
cascadePath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascadePath);
 
font = cv2.FONT_HERSHEY_SIMPLEX
 
id = 0
 
 
names = ['None', 'victor', 'artem', 'doni', 'nastya', 'madi', 'doni']
 
 
cam = cv2.VideoCapture(0)
cam.set(3, 640) # set video widht
cam.set(4, 480) # set video height
 
 
minW = 0.1 * cam.get(3)
minH = 0.1 * cam.get(4)
 
while True:
 
ret, img = cam.read()
 
 
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 
faces = faceCascade.detectMultiScale(
    gray,
    scaleFactor = 1.2,
    minNeighbors = 5,
    minSize = (int(minW), int(minH)),
    )
 
    for (x, y, w, h) in faces :
 
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
 
id, confidence = recognizer.predict(gray[y:y + h, x : x + w])
 
 
if (confidence < 100) :
    id = names[id]
    confidence = "  {0}%".format(round(100 - confidence))
else:
id = "unknown"
confidence = "  {0}%".format(round(100 - confidence))
 
cv2.putText(img, str(id), (x + 5, y - 5), font, 1, (255, 255, 255), 2)
cv2.putText(img, str(confidence), (x + 5, y + h - 5), font, 1, (255, 255, 0), 1)
 
cv2.imshow('camera', img)
 
k = cv2.waitKey(10) & 0xff # Press 'ESC' for exiting video
if k == 27:
break
 
 
print("\n [INFO] Exiting Program and cleanup stuff")
cam.release()
cv2.destroyAllWindows()