face detection machine learning

 #https://www.datacamp.com/community/tutorials/machine-learning-models-api-python

trained datasetsfor face detection

#https://github.com/opencv/opencv/blob/master/data/haarcascades/haarcascade_frontalface_default.xml

import cv2

trained_face_data=cv2.CascadeClassifier("face_detection.xml")

capture = cv2.VideoCapture(0)

while(capture.isOpened()):

    ret,frame= capture.read()

    if ret == True:

        cv2.imshow("video",frame)

        # Display the resulting frame

        faces  = trained_face_data.detectMultiScale(frame)

        cv2.imshow('car detector machine',frame)

        for (x,y,w,h) in faces:

            cv2.rectangle(frame, (x,y),(x+w,y+h), (0,0,255),2)

        # Break the loop

    else:

        break

        if cv2.waitKey(1) & 0xFF ==ord("s"):

            break

capture.release()

cv2.destroyAllWindows()

print("code completed")