Face_recongize

# -*- coding: utf-8 -*-
"""
Created on Sun Apr  5 01:55:37 2020

@author: USER
"""
import serial
import time
import face_recognition
import cv2

# Get a reference to webcam #0 (the default one)
video_capture = cv2.VideoCapture(0)

# Initialize some variables
face_locations = []
counter = 0
send=serial.Serial('COM4',115200)
time.sleep(5)
send.write(b'mac join abp')

while True:
    # Grab a single frame of video
    ret, frame = video_capture.read()

    # Resize frame of video to 1/4 size for faster face detection processing
    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

    # Find all the faces and face encodings in the current frame of video
    face_locations = face_recognition.face_locations(small_frame, model="cnn")

    if(len(face_locations) >= 1):
        print("I found {} face(s) in this photograph.".format(len(face_locations)))

        #while True:
        time.sleep(5)
        send.write(b'mac tx ucnf 2 024945121225')
    else:
        print("Nothing here")
    # Display the results

    cv2.imshow('Video', small_frame)

    # Hit 'q' on the keyboard to quit!
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release handle to the webcam
video_capture.release()
cv2.destroyAllWindows()