Face_recognizer

1.There are 2 files in this rep. one which has training and prediction functions and one with the implementation of them
2.steps to be followed 3.place all the files in the same folder and then create a folder named faces or as you wish and create a folder for each person whose image you have to train the model and place their photos inside them and update the path in face_pred.py so that images can be accessed 4.Then run the file you get a opencv window where video is displayed and name of face predicted is displayed. 5.As the model we use and the face detector have a chance of high False positives so the accuracy of the model may be low.give more images to train to increase its accuracy (40-50).