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videoTester.py
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videoTester.py
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# -*- coding: utf-8 -*-
"""
Created on Mon Apr 13 17:45:15 2020
@author: Arpit
"""
import cv2
import os
import numpy as np
import face_reg as fr
face_recognizer = cv2.face.LBPHFaceRecognizer_create()
face_recognizer.read(r'C:\Users\Arpit\Desktop\face_reg\trainingData.yml')
cap = cv2.VideoCapture(0)
name = {0: "priyanka", 1: "kangana"}
while True:
ret,test_img = cap.read()
faces_detected, gray_img = fr.faceDetection(test_img)
for (x,y,w,h) in faces_detected:
cv2.rectangle(test_img, (x,y),(x+w,y+h),(255,0,0),thickness = 1)
resized_img = cv2.resize(test_img,(500,300))
cv2.imshow('face detection', resized_img)
cv2.waitKey(0)
for face in faces_detected:
(x,y,w,h) = face
roi_gray = gray_img[y:y+h, x:x+w]
label, confidence = face_recognizer.predict(roi_gray)
print("confidence:", confidence)
print("label:", label)
fr.draw_rect(test_img, face)
predicted_name = name[label]
if confidence < 60:
fr.put_text(test_img, predicted_name,x,y)
resized_img = cv2.resize(test_img, (1000,700))
cv2.imshow("face", resized_img)
if(cv2.waitKey(10) == ord('q')):
break;
cap.release()
cv2.destroyAllWindows