FaceDetection_Operations.py

import cv2
import numpy as np
from os import listdir
from os.path import isfile, join

data_path = 'C:/Users/Usama Zuberi/Desktop/Face Detection/CaptureFaces/'
onlyfiles = [f for f in listdir(data_path) if isfile(join(data_path, f))]

Training_Data, Labels =[], []

for i, files in enumerate(onlyfiles):
    image_path = data_path + onlyfiles[i]
    images = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
    Training_Data.append(np.asarray(images, dtype=np.uint8))
    Labels.append(i)

Labels = np.asarray(Labels, dtype=np.int32)

model = cv2.face.LBPHFaceRecognizer_create()

model.train(np.asarray(Training_Data), np.asarray(Labels))
print("Your Model Training Completed")

face_classifier = cv2.CascadeClassifier('C:/Users/Usama Zuberi/AppData/Local/Programs/Python/Python37-32/Lib/site-packages/cv2/data/haarcascade_frontalface_default.xml')

def face_detector(img, size=0.5):
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_classifier.detectMultiScale(gray, 1.3, 5)

    if faces is():
        return img, []

    #region of interest
    for(x,y,w,h) in faces:
        cv2.rectangle(img, (x,y), (x+w, y+h), (0, 255, 255), 2)
        roi = img[y: y+h, x: x+w]
        roi = cv2.resize(roi, (200, 200))

    return img, roi

cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    image, face = face_detector(frame)

    try:
        face = cv2.cvtColor(face, cv2.COLOR_BGR2GRAY)
        result = model.predict(face)

        if result[1] < 500:
            confidence = int((1-(result[1])/300)*100)
            display_string = 'User Confidence:' + str(confidence) + '%'
            cv2.putText(image, display_string, (110, 120), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 0), 2)

        if confidence > 77:
            cv2.putText(image, "Unlocked", (250, 420), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 2)
            cv2.imshow('Face Cropper', image)

        else:
            cv2.putText(image, "Locked", (250, 420), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 0, 0), 2)
            cv2.imshow('Face Cropper', image)

    except:
        cv2.putText(image, "Face Not Found", (200, 420), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 2)
        cv2.imshow('Face Cropper', image)
        pass

    if cv2.waitKey(1)==13:
        break

cap.release()
cv2.destroyAllWindows()