Face recognition with Python

An easy way to get into AI with facial recognition and Google Home integration!!

Jun 27, 2021

•

4646 views

•

1 respects

•

face recognition

Components and supplies

Google Home

Webcam, Logitech® HD Pro

Apps and platforms

VS Code

Python 64 bit

Visual Studio 2015

Project description

Code

Face recognition code

python

1import smtplib
2from email.message import EmailMessage
3import face_recognition
4import  cv2
5import pickle
6import pychromecast
7import http.server
8import multiprocessing
9
10train_encodings  = []
11Names = []
12scale_factor = 0.25
13
14cast = pychromecast.Chromecast("  *Your Google home's local IP address* ")
15cast.wait()
16print(cast.name)
17mc  = cast.media_controller
18speak = True
19mail = True
20nameOld = ''
21
22def  caster(url):
23    global speak 
24    if speak == True: 
25        mc.play_media(url,  'audio/mp3')
26        mc.block_until_active()
27        mc.pause()
28        mc.play()
29        speak = False
30
31def email_alert(subject, body, to):
32    global mail
33    if mail == True:
34        msg = EmailMessage()
35        msg.set_content(body)
36        msg['subject'] = subject
37        msg['to'] = to
38        
39        user  = " *Your email ID* "
40        msg['from'] = user
41        password = " *Your  Google account's double authentication password* "
42
43        server = smtplib.SMTP('smtp.gmail.com',587)
44        server.starttls()
45        server.login(user,password)
46        with  open(r'login.jpg', 'rb') as f:
47            image_data = f.read()
48            image_name  = f.name
49            image_type = image_name.split(".")[1]
50        msg.add_attachment(image_data,  maintype='image', subtype=image_type, filename=image_name)
51
52        server.send_message(msg)
53        server.quit()
54        mail = False
55
56def web_server():
57    httpd  = http.server.HTTPServer(server_address=('',8000),RequestHandlerClass=http.server.SimpleHTTPRequestHandler)
58    httpd.serve_forever(poll_interval=0.5)
59
60with open ('train.pkl','rb') as  f:
61    Names = pickle.load(f)
62    train_encodings = pickle.load(f)
63
64print(Names)
65
66cam  = cv2.VideoCapture(0)
67font = cv2.FONT_HERSHEY_SIMPLEX
68
69while __name__ ==  '__main__':
70    p = multiprocessing.Process(target=web_server, args=())
71    p.daemon  = True
72    p.start()
73
74    r,img = cam.read()
75    img_small = cv2.resize(img,(0,0),fx  = scale_factor,fy = scale_factor)
76    img_rgb = cv2.cvtColor(img_small,cv2.COLOR_BGR2RGB)
77    face_positions = face_recognition.face_locations(img_rgb,model = 'cnn')
78
79    if not face_positions:
80        continue
81
82    all_encodings = face_recognition.face_encodings(img_rgb,face_positions)
83
84    for (top,right,bottom,left),face_encoding in zip(face_positions,all_encodings):
85        name = "Unknown person"
86        matches = face_recognition.compare_faces(train_encodings,face_encoding)
87        if True in matches:
88            image_index = matches.index(True)
89            name = Names[image_index]
90            email = "Log in by: "+name
91            url = "http:// *Your computer's local IP address* :8000/"+name+".mp3"
92            print(url)
93            if name != nameOld:
94                speak  = True
95            nameOld = name
96            caster(url)
97            top  = int(top//scale_factor)
98            left = int(left//scale_factor)
99            bottom  = int(bottom//scale_factor)
100            right = int(right//scale_factor)
101            cv2.rectangle(img,(top,left),(bottom,right),(0,255,0),2)
102            cv2.putText(img,name,(left,top),font,0.75,(0,255,0),thickness=2)
103    
104
105    cv2.imwrite("login.jpg",img)
106    email_alert("Update",email,"  *To email address* ")

import smtplib
from email.message import EmailMessage
import face_recognition
import  cv2
import pickle
import pychromecast
import http.server
import multiprocessing

train_encodings  = []
Names = []
scale_factor = 0.25

cast = pychromecast.Chromecast("  *Your Google home's local IP address* ")
cast.wait()
print(cast.name)
mc  = cast.media_controller
speak = True
mail = True
nameOld = ''

def  caster(url):
    global speak 
    if speak == True: 
        mc.play_media(url,  'audio/mp3')
        mc.block_until_active()
        mc.pause()
        mc.play()
        speak = False

def email_alert(subject, body, to):
    global mail
    if mail == True:
        msg = EmailMessage()
        msg.set_content(body)
        msg['subject'] = subject
        msg['to'] = to
        
        user  = " *Your email ID* "
        msg['from'] = user
        password = " *Your  Google account's double authentication password* "

        server = smtplib.SMTP('smtp.gmail.com',587)
        server.starttls()
        server.login(user,password)
        with  open(r'login.jpg', 'rb') as f:
            image_data = f.read()
            image_name  = f.name
            image_type = image_name.split(".")[1]
        msg.add_attachment(image_data,  maintype='image', subtype=image_type, filename=image_name)

        server.send_message(msg)
        server.quit()
        mail = False

def web_server():
    httpd  = http.server.HTTPServer(server_address=('',8000),RequestHandlerClass=http.server.SimpleHTTPRequestHandler)
    httpd.serve_forever(poll_interval=0.5)

with open ('train.pkl','rb') as  f:
    Names = pickle.load(f)
    train_encodings = pickle.load(f)

print(Names)

cam  = cv2.VideoCapture(0)
font = cv2.FONT_HERSHEY_SIMPLEX

while __name__ ==  '__main__':
    p = multiprocessing.Process(target=web_server, args=())
    p.daemon  = True
    p.start()

    r,img = cam.read()
    img_small = cv2.resize(img,(0,0),fx  = scale_factor,fy = scale_factor)
    img_rgb = cv2.cvtColor(img_small,cv2.COLOR_BGR2RGB)
    face_positions = face_recognition.face_locations(img_rgb,model = 'cnn')

    if not face_positions:
        continue

    all_encodings = face_recognition.face_encodings(img_rgb,face_positions)

    for (top,right,bottom,left),face_encoding in zip(face_positions,all_encodings):
        name = "Unknown person"
        matches = face_recognition.compare_faces(train_encodings,face_encoding)
        if True in matches:
            image_index = matches.index(True)
            name = Names[image_index]
            email = "Log in by: "+name
            url = "http:// *Your computer's local IP address* :8000/"+name+".mp3"
            print(url)
            if name != nameOld:
                speak  = True
            nameOld = name
            caster(url)
            top  = int(top//scale_factor)
            left = int(left//scale_factor)
            bottom  = int(bottom//scale_factor)
            right = int(right//scale_factor)
            cv2.rectangle(img,(top,left),(bottom,right),(0,255,0),2)
            cv2.putText(img,name,(left,top),font,0.75,(0,255,0),thickness=2)
    

    cv2.imwrite("login.jpg",img)
    email_alert("Update",email,"  *To email address* ")

Save data of faces

python

1import pickle
2import face_recognition
3import os
4import pickle
5import  gtts
6
7from face_recognition.api import face_locations
8
9training_encodings  = []
10Names = []
11image_dir =  r" *Your directory of known images* "
12
13for  root, dirs, files in os.walk(image_dir):
14    for file in files:
15        path  = os.path.join(root,file)
16        name = os.path.splitext(file)[0]
17        person  = face_recognition.load_image_file(path)
18        encoding = face_recognition.face_encodings(person)[0]
19        training_encodings.append(encoding)
20        Names.append(name)
21        print(name)
22        print(encoding)
23
24for name in Names:
25    msg = name+"is at the  door"
26    tts = gtts.gTTS(msg,lang="en",tld = "co.uk")
27    url = name+".mp3"
28    tts.save(url)
29
30with open('train.pkl','wb') as f:
31    pickle.dump(Names,f)
32    pickle.dump(training_encodings,f)

import pickle
import face_recognition
import os
import pickle
import  gtts

from face_recognition.api import face_locations

training_encodings  = []
Names = []
image_dir =  r" *Your directory of known images* "

for  root, dirs, files in os.walk(image_dir):
    for file in files:
        path  = os.path.join(root,file)
        name = os.path.splitext(file)[0]
        person  = face_recognition.load_image_file(path)
        encoding = face_recognition.face_encodings(person)[0]
        training_encodings.append(encoding)
        Names.append(name)
        print(name)
        print(encoding)

for name in Names:
    msg = name+"is at the  door"
    tts = gtts.gTTS(msg,lang="en",tld = "co.uk")
    url = name+".mp3"
    tts.save(url)

with open('train.pkl','wb') as f:
    pickle.dump(Names,f)
    pickle.dump(training_encodings,f)

Face recognition code

python

1import smtplib
2from email.message import EmailMessage
3import face_recognition
4import   cv2
5import pickle
6import pychromecast
7import http.server
8import multiprocessing
9
10train_encodings   = []
11Names = []
12scale_factor = 0.25
13
14cast = pychromecast.Chromecast("   *Your Google home's local IP address* ")
15cast.wait()
16print(cast.name)
17mc   = cast.media_controller
18speak = True
19mail = True
20nameOld = ''
21
22def   caster(url):
23    global speak 
24    if speak == True: 
25        mc.play_media(url,   'audio/mp3')
26        mc.block_until_active()
27        mc.pause()
28        mc.play()
29         speak = False
30
31def email_alert(subject, body, to):
32    global mail
33     if mail == True:
34        msg = EmailMessage()
35        msg.set_content(body)
36         msg['subject'] = subject
37        msg['to'] = to
38        
39        user   = " *Your email ID* "
40        msg['from'] = user
41        password = " *Your   Google account's double authentication password* "
42
43        server = smtplib.SMTP('smtp.gmail.com',587)
44         server.starttls()
45        server.login(user,password)
46        with   open(r'login.jpg', 'rb') as f:
47            image_data = f.read()
48            image_name   = f.name
49            image_type = image_name.split(".")[1]
50        msg.add_attachment(image_data,   maintype='image', subtype=image_type, filename=image_name)
51
52        server.send_message(msg)
53         server.quit()
54        mail = False
55
56def web_server():
57    httpd   = http.server.HTTPServer(server_address=('',8000),RequestHandlerClass=http.server.SimpleHTTPRequestHandler)
58     httpd.serve_forever(poll_interval=0.5)
59
60with open ('train.pkl','rb') as   f:
61    Names = pickle.load(f)
62    train_encodings = pickle.load(f)
63
64print(Names)
65
66cam   = cv2.VideoCapture(0)
67font = cv2.FONT_HERSHEY_SIMPLEX
68
69while __name__ ==   '__main__':
70    p = multiprocessing.Process(target=web_server, args=())
71    p.daemon   = True
72    p.start()
73
74    r,img = cam.read()
75    img_small = cv2.resize(img,(0,0),fx   = scale_factor,fy = scale_factor)
76    img_rgb = cv2.cvtColor(img_small,cv2.COLOR_BGR2RGB)
77     face_positions = face_recognition.face_locations(img_rgb,model = 'cnn')
78
79     if not face_positions:
80        continue
81
82    all_encodings = face_recognition.face_encodings(img_rgb,face_positions)
83
84     for (top,right,bottom,left),face_encoding in zip(face_positions,all_encodings):
85         name = "Unknown person"
86        matches = face_recognition.compare_faces(train_encodings,face_encoding)
87         if True in matches:
88            image_index = matches.index(True)
89             name = Names[image_index]
90            email = "Log in by: "+name
91             url = "http:// *Your computer's local IP address* :8000/"+name+".mp3"
92             print(url)
93            if name != nameOld:
94                speak   = True
95            nameOld = name
96            caster(url)
97            top   = int(top//scale_factor)
98            left = int(left//scale_factor)
99            bottom   = int(bottom//scale_factor)
100            right = int(right//scale_factor)
101             cv2.rectangle(img,(top,left),(bottom,right),(0,255,0),2)
102            cv2.putText(img,name,(left,top),font,0.75,(0,255,0),thickness=2)
103     
104
105    cv2.imwrite("login.jpg",img)
106    email_alert("Update",email,"   *To email address* ")

import smtplib
from email.message import EmailMessage
import face_recognition
import   cv2
import pickle
import pychromecast
import http.server
import multiprocessing

train_encodings   = []
Names = []
scale_factor = 0.25

cast = pychromecast.Chromecast("   *Your Google home's local IP address* ")
cast.wait()
print(cast.name)
mc   = cast.media_controller
speak = True
mail = True
nameOld = ''

def   caster(url):
    global speak 
    if speak == True: 
        mc.play_media(url,   'audio/mp3')
        mc.block_until_active()
        mc.pause()
        mc.play()
         speak = False

def email_alert(subject, body, to):
    global mail
     if mail == True:
        msg = EmailMessage()
        msg.set_content(body)
         msg['subject'] = subject
        msg['to'] = to
        
        user   = " *Your email ID* "
        msg['from'] = user
        password = " *Your   Google account's double authentication password* "

        server = smtplib.SMTP('smtp.gmail.com',587)
         server.starttls()
        server.login(user,password)
        with   open(r'login.jpg', 'rb') as f:
            image_data = f.read()
            image_name   = f.name
            image_type = image_name.split(".")[1]
        msg.add_attachment(image_data,   maintype='image', subtype=image_type, filename=image_name)

        server.send_message(msg)
         server.quit()
        mail = False

def web_server():
    httpd   = http.server.HTTPServer(server_address=('',8000),RequestHandlerClass=http.server.SimpleHTTPRequestHandler)
     httpd.serve_forever(poll_interval=0.5)

with open ('train.pkl','rb') as   f:
    Names = pickle.load(f)
    train_encodings = pickle.load(f)

print(Names)

cam   = cv2.VideoCapture(0)
font = cv2.FONT_HERSHEY_SIMPLEX

while __name__ ==   '__main__':
    p = multiprocessing.Process(target=web_server, args=())
    p.daemon   = True
    p.start()

    r,img = cam.read()
    img_small = cv2.resize(img,(0,0),fx   = scale_factor,fy = scale_factor)
    img_rgb = cv2.cvtColor(img_small,cv2.COLOR_BGR2RGB)
     face_positions = face_recognition.face_locations(img_rgb,model = 'cnn')

     if not face_positions:
        continue

    all_encodings = face_recognition.face_encodings(img_rgb,face_positions)

     for (top,right,bottom,left),face_encoding in zip(face_positions,all_encodings):
         name = "Unknown person"
        matches = face_recognition.compare_faces(train_encodings,face_encoding)
         if True in matches:
            image_index = matches.index(True)
             name = Names[image_index]
            email = "Log in by: "+name
             url = "http:// *Your computer's local IP address* :8000/"+name+".mp3"
             print(url)
            if name != nameOld:
                speak   = True
            nameOld = name
            caster(url)
            top   = int(top//scale_factor)
            left = int(left//scale_factor)
            bottom   = int(bottom//scale_factor)
            right = int(right//scale_factor)
             cv2.rectangle(img,(top,left),(bottom,right),(0,255,0),2)
            cv2.putText(img,name,(left,top),font,0.75,(0,255,0),thickness=2)
     

    cv2.imwrite("login.jpg",img)
    email_alert("Update",email,"   *To email address* ")

Comments

Only logged in users can leave comments

aman_a_shastry

0 Followers

•

0 Projects

Intro

Trademarks & CopyrightsWhistleblowingDigital Services ActTerms of ServicePrivacy PolicySecurityCookie Settings

Report content