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load_model_image.py
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load_model_image.py
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import numpy as np
import cv2
import os
import faceRecognition as fr
print (fr)
test_img=cv2.imread(r'Give Path Here\2.jpg') #Give path to the image which you want to test
faces_detected,gray_img=fr.faceDetection(test_img)
print("face Detected: ",faces_detected)
face_recognizer=cv2.face.LBPHFaceRecognizer_create()
face_recognizer.read(r'Give Path Here\trainingData.yml') #Give path of where trainingData.yml is saved
name={0:"Ashish",1:"Vijay Deverakonda"} #Change names accordingly. If you want to recognize only one person then write:- name={0:"name"} thats all. Dont write for id number 1.
for face in faces_detected:
(x,y,w,h)=face
roi_gray=gray_img[y:y+h,x:x+h]
label,confidence=face_recognizer.predict(roi_gray)
print ("Confidence :",confidence)
print("label :",label)
fr.draw_rect(test_img,face)
predicted_name=name[label]
fr.put_text(test_img,predicted_name,x,y)
resized_img=cv2.resize(test_img,(1000,700))
cv2.imshow("face detection ", resized_img)
cv2.waitKey(0)
cv2.destroyAllWindows