How to Build a Facial Recognition System with PyTorch

Face recognition using few shot learning | AI

In this video, we are going to build a Facial Recognition System with PyTorch.

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Facial recognition model in Pytorch

Baseline submission using Facenet

This notebook demonstrates how to use the facenet-pytorch package to build a rudimentary deepfake detector without training any models. It also demonstrates a method for (1) loading all video frames, (2) finding all faces, and (3) calculating face embeddings at over 30 frames per second (or greater than 1 video per 10 seconds).

The following steps are performed:

1. Create pretrained facial detection (MTCNN) and recognition (Inception Resnet) models.
   • See the following kernel for a strided implementation of MTCNN that is able to process all frames in each video: https://www.kaggle.com/timesler/facenet-pytorch-mtcnn-process-every-frame
   • See the following kernel for a performance comparison for different face detection implementations: https://www.kaggle.com/timesler/comparison-of-face-detection-packages
2. For each test video, calculate face feature vectors for ALL faces in each video.
3. Calculate the distance from each face to the centroid for its video.
4. Use these distances as your means of discrimination.

For (much) better results, finetune the resnet to the fake/real binary classification task instead - this is just a baseline. Alternatively, I'm sure there is much more interesting things that can be done with the feature vectors.

Install dependencies

# Install facenet-pytorch
!pip install /kaggle/input/facenet-pytorch-vggface2/facenet_pytorch-2.2.7-py3-none-any.whl

from facenet_pytorch.models.inception_resnet_v1 import get_torch_home
torch_home = get_torch_home()

# Copy model checkpoints to torch cache so they are loaded automatically by the package
!mkdir -p $torch_home/checkpoints/
!cp /kaggle/input/facenet-pytorch-vggface2/20180402-114759-vggface2-logits.pth $torch_home/checkpoints/vggface2_DG3kwML46X.pt
!cp /kaggle/input/facenet-pytorch-vggface2/20180402-114759-vggface2-features.pth $torch_home/checkpoints/vggface2_G5aNV2VSMn.pt

Processing /kaggle/input/facenet-pytorch-vggface2/facenet_pytorch-2.2.7-py3-none-any.whl
Requirement already satisfied: requests in /opt/conda/lib/python3.6/site-packages (from facenet-pytorch==2.2.7) (2.22.0)
Requirement already satisfied: numpy in /opt/conda/lib/python3.6/site-packages (from facenet-pytorch==2.2.7) (1.17.4)
Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/conda/lib/python3.6/site-packages (from requests->facenet-pytorch==2.2.7) (3.0.4)
Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.6/site-packages (from requests->facenet-pytorch==2.2.7) (2019.9.11)
Requirement already satisfied: idna<2.9,>=2.5 in /opt/conda/lib/python3.6/site-packages (from requests->facenet-pytorch==2.2.7) (2.8)
Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/lib/python3.6/site-packages (from requests->facenet-pytorch==2.2.7) (1.24.2)
Installing collected packages: facenet-pytorch
Successfully installed facenet-pytorch-2.2.7

Imports

import os
import glob
import time
import torch
import cv2
from PIL import Image
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from tqdm.notebook import tqdm

# See github.com/timesler/facenet-pytorch:
from facenet_pytorch import MTCNN, InceptionResnetV1, extract_face

device = 'cuda:0' if torch.cuda.is_available() else 'cpu'
print(f'Running on device: {device}')

Running on device: cuda:0

Create MTCNN and Inception Resnet models

Both models are pretrained. The Inception Resnet weights will be downloaded the first time it is instantiated; after that, they will be loaded from the torch cache.

# Load face detector
mtcnn = MTCNN(margin=14, keep_all=True, factor=0.5, device=device).eval()

# Load facial recognition model
resnet = InceptionResnetV1(pretrained='vggface2', device=device).eval()

Process test videos

After defining a few helper functions, this code loops through all videos and passes all frames from each through the face detector followed by facenet. Finally, we calculate the distance from the centroid to the extracted feature for each face.

class DetectionPipeline:
    """Pipeline class for detecting faces in the frames of a video file."""
    
    def __init__(self, detector, n_frames=None, batch_size=60, resize=None):
        """Constructor for DetectionPipeline class.
        
        Keyword Arguments:
            n_frames {int} -- Total number of frames to load. These will be evenly spaced
                throughout the video. If not specified (i.e., None), all frames will be loaded.
                (default: {None})
            batch_size {int} -- Batch size to use with MTCNN face detector. (default: {32})
            resize {float} -- Fraction by which to resize frames from original prior to face
                detection. A value less than 1 results in downsampling and a value greater than
                1 result in upsampling. (default: {None})
        """
        self.detector = detector
        self.n_frames = n_frames
        self.batch_size = batch_size
        self.resize = resize
    
    def __call__(self, filename):
        """Load frames from an MP4 video and detect faces.

        Arguments:
            filename {str} -- Path to video.
        """
        # Create video reader and find length
        v_cap = cv2.VideoCapture(filename)
        v_len = int(v_cap.get(cv2.CAP_PROP_FRAME_COUNT))

        # Pick 'n_frames' evenly spaced frames to sample
        if self.n_frames is None:
            sample = np.arange(0, v_len)
        else:
            sample = np.linspace(0, v_len - 1, self.n_frames).astype(int)

        # Loop through frames
        faces = []
        frames = []
        for j in range(v_len):
            success = v_cap.grab()
            if j in sample:
                # Load frame
                success, frame = v_cap.retrieve()
                if not success:
                    continue
                frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
                frame = Image.fromarray(frame)
                
                # Resize frame to desired size
                if self.resize is not None:
                    frame = frame.resize([int(d * self.resize) for d in frame.size])
                frames.append(frame)

                # When batch is full, detect faces and reset frame list
                if len(frames) % self.batch_size == 0 or j == sample[-1]:
                    faces.extend(self.detector(frames))
                    frames = []

        v_cap.release()

        return faces    


def process_faces(faces, resnet):
    # Filter out frames without faces
    faces = [f for f in faces if f is not None]
    faces = torch.cat(faces).to(device)

    # Generate facial feature vectors using a pretrained model
    embeddings = resnet(faces)

    # Calculate centroid for video and distance of each face's feature vector from centroid
    centroid = embeddings.mean(dim=0)
    x = (embeddings - centroid).norm(dim=1).cpu().numpy()
    
    return x

# Define face detection pipeline
detection_pipeline = DetectionPipeline(detector=mtcnn, batch_size=60, resize=0.25)

# Get all test videos
filenames = glob.glob('/kaggle/input/deepfake-detection-challenge/test_videos/*.mp4')

X = []
start = time.time()
n_processed = 0
with torch.no_grad():
    for i, filename in tqdm(enumerate(filenames), total=len(filenames)):
        try:
            # Load frames and find faces
            faces = detection_pipeline(filename)
            
            # Calculate embeddings
            X.append(process_faces(faces, resnet))

        except KeyboardInterrupt:
            print('\nStopped.')
            break

        except Exception as e:
            print(e)
            X.append(None)
        
        n_processed += len(faces)
        print(f'Frames per second (load+detect+embed): {n_processed / (time.time() - start):6.3}\r', end='')

Frames per second (load+detect+embed):   48.7

Predict classes

The below weights were selected by following the same process as above for the train sample videos and then using a logistic regression model to fit to the labels. Note that, intuitively, this is not a very good approach as it does nothing to take into account the progression of feature vectors throughout a video, just combines them together using the weights below. This step is provided as a placeholder only; it should be replaced with a more thoughtful mapping from a sequence of feature vectors to a single prediction.

bias = -0.2942
weight = 0.68235746

submission = []
for filename, x_i in zip(filenames, X):
    if x_i is not None:
        prob = 1 / (1 + np.exp(-(bias + (weight * x_i).mean())))
    else:
        prob = 0.5
    submission.append([os.path.basename(filename), prob])

Build submission

submission = pd.DataFrame(submission, columns=['filename', 'label'])
submission.sort_values('filename').to_csv('submission.csv', index=False)

plt.hist(submission.label, 20)
plt.show()

 

#ai #pytorch #python 

What is GEEK

Buddha Community

System Databases in SQL Server

Introduction

In SSMS, we many of may noticed System Databases under the Database Folder. But how many of us knows its purpose?. In this article lets discuss about the System Databases in SQL Server.

System Database

Fig. 1 System Databases

There are five system databases, these databases are created while installing SQL Server.

• Master
• Model
• MSDB
• Tempdb
• Resource

Master

• This database contains all the System level Information in SQL Server. The Information in form of Meta data.
• Because of this master database, we are able to access the SQL Server (On premise SQL Server)

Model

• This database is used as a template for new databases.
• Whenever a new database is created, initially a copy of model database is what created as new database.

MSDB

• This database is where a service called SQL Server Agent stores its data.
• SQL server Agent is in charge of automation, which includes entities such as jobs, schedules, and alerts.

TempDB

• The Tempdb is where SQL Server stores temporary data such as work tables, sort space, row versioning information and etc.
• User can create their own version of temporary tables and those are stored in Tempdb.
• But this database is destroyed and recreated every time when we restart the instance of SQL Server.

Resource

• The resource database is a hidden, read only database that holds the definitions of all system objects.
• When we query system object in a database, they appear to reside in the sys schema of the local database, but in actually their definitions reside in the resource db.

#sql server #master system database #model system database #msdb system database #sql server system databases #ssms #system database #system databases in sql server #tempdb system database

Fuse with the radical technology using the Face Recognition Employee Attendance Software

We are witnessing a lot of impacts in the world because of the COVID-19 pandemic. There is not much we could do to compensate for all the losses at once. But it can eventually be overcome. And the reason for this hope is ‘technology’.

Everything is just at an arm’s reach with the technology and it’s been proven time-to-time to us. One such thing that makes people still and stare for a moment is the Face Recognition Employee Attendance Software.

Face recognition is one of the most advanced technologies that is being implemented in the corporate industry now.

The software is mainly responsible for marking the attendance of the employees without them having to touch the screen.

Since ‘touch’ has become the most dangerous word in recent months, the system helps people to get away from it.

This software is also known as Contactless Attendance System that follows a highly hygiene scanning. Let’s look at the workflow:

• The employee would stand in front of the device camera and the facial features get analysed. *
• The features are then compared with the database containing the faces of all the employees. The user details are retrieved from the database.*
• The user will be scanned to ensure that he/she has a mask and once they put the mask on, the system scans the face again.*
• The social distancing guidelines are examined by scanning the area around the user. *
• Once the criterias are matched, the attendance of the user is marked.

Working models of the software:
The software works in two different models such as:

Tab-based model:
The tablet having this software solution, will have to scan their faces at the entry points. They will wait for the system to confirm the checklist like detecting face masks and social distancing.

Mobile-based model:
The mobile-based model is safer, since it involves logging in with the WiFi server and login to the accounts. After matching the criteria, attendance would be marked.

On a concluding note, Employee contactless attendance software is the future. So, make the most out of it by contacting our team right now!

#face recognition attendance software #face recognition employee software #face recognition employee attendance software #face recognition based attendance software #contactless facial recognition attendance system

Can This AI Filter Protect Identities From Facial Recognition System?

Facial recognition technology has been a matter of grave concern since long, as much as to that, major tech giants like Microsoft, Amazon, IBM as well as Google have earlier this year, banned selling their FRT to police authorities. Additionally, Clearview AI’s groundbreaking facial recognition app that scrapped billions of images of people without consent made the matter even worse for the public.

In fact, the whole concept of companies using social media images of people without their permission to train their FRT algorithms can turn out to be troublesome for the general public’s identity and personal privacy. And thus, to protect human identities from companies who can misuse them, researchers from the computer science department of the University of Chicago, proposed an AI system to fool these facial recognition systems.

Termed as Fawkes — named after the British soldier Guy Fawkes Night, this AI system has been designed to help users to safeguard their images and selfies with a filter from against these unfavored facial recognition models. This filter, as the researchers called it “cloak,” adds an invisible pixel-level change on the photos that cannot be seen with human eyes, but can deceive these FRTs.

#opinions #ai filter #facial recognition #facial recognition india

5Kw Solar System in Brisbane

1 August 2020, Sunny Sky solarannounced you to launch a residential solar power system in Queensland, Australia. There are different sizes of houses with different energy requirements so one solar power system cannot fulfill every type of electricity need.

Whether energy need is low or higher they have announced a wide range of solar power system in Brisbane that includes 5KW solar panel system, 6Kw solar panel system, 10Kw solar panel system, and many more so that everyone can enjoy the benefits of solar energy.

Residential Solar Power System needs to be flexible because of the changing requirement of energy. As we know our energy needs hikes up in the summers more than winters because we use air conditioners, refrigerators (also used in winters but less than summers), fans. In winter we drop down these usages so the energy needs to go up and down according to the weather changing.

Some households have a high energy need, some have low, and mostly have the normal or average of high and low. Sunny Sky Solar offers expert’s advice to all the customers on call or personally because it is important to analyze the energy need, budget, location, and many other things before buying a solar power system for your home sweet home.

Their professionals analyze all these things and suggest you the best residential solar power system in Brisbane to reduce the energy costs and clean the environment as solar energy is green & clean energy.

At this time of announcing the residential solar panel system, the representative of Sunny Sky Solar has talked about some advantages of a residential solar power system. He said “get update yourself by the time is important because the latest technology will save you lots of money and time. The solar power system is the best technology in this era that can give you lots of benefits. Don’t get upset with the initial cost because after installing a solar power system at your house it will repay you the initial cost in two to three years. So, you are going to invest in a great deal if you are purchasing a solar panel system in Brisbane.”

He also added “Residential solar power system can save your pocket from getting loose every month for heavy electricity bills. You will earn money by producing solar energy and feeding your power supply grid as government, and mostly all the power suppliers give benefits to producing solar energy. You can easily earn money by feeding the power grid with your excess produced solar energy. You will use solar energy and save the excess by feeding the power grid this way.”

Sunny Sky Solar offering an efficient range of residential and commercial solar power system that includes 5KW solar panel system, 6.6Kw solar panel system, 10Kw solar panel system, and there are many more that you can select according to your energy needs and budget.
They provide expert assistance that will help you in choosing the best solar system for your house. Their experienced professionals work under the guidance of experts who ensures the perfections and safety at the time of installing and after the installation.

Installing a solar power system at your place will be more convenient with them because they work under the expert’s supervision that makes them perfect and faster. They ensure safety first at the time of installing because at that time family members are around the installing site and accidents can happen.

They also ensure the quality of products they used in installing and other solar products. If the products will be durable and efficient, the system will produce more electricity with higher efficiency for a longer period.
The main thing that matters while installing a solar power system at a residence is the roof situation, Sunny Sky Solar doesn’t work for doing business only. They first check the place or analyze from your information that your location is safe for installing a solar power system or not. If the find any problem they will suggest repairing it first because if you will put the solar power system at a less secure place and the solar system’s weight can damage it then repairing that place first should your main priority.
This shows their loyalty and caring behavior towards the customers.

#solar panel system #solar panel system in brisbane #5kw solar panel system #5kw solar panel system #10kw solar panel system #10kw solar panel system in brisbane

Secret Email System Review - Recommended or Not?

Matt Bacak’s secret email system is one of the most successful products in the WarriorPlus marketplace in recent memory. My secret email system review will not try to hard sell you on the product – I mean, it’s pretty cheap, so if you’re going to buy it, you’re going to buy it. Instead, I’ll concentrate on explaining the benefits of email marketing and how to get the most out of Matt’s system.

Nowadays, digital marketing is essential for every business. But what is the best strategy? There are many different points of view, but one thing is certain: emails are essential. Email marketing is one of the most efficient and cost-effective ways to promote a business online, and it is simple and inexpensive to get started. The most important thing is to understand your audience and deliver content and offers that are truly relevant to them.

The PDF Download of an Honest Secret Email System Review
The front-end product
What Matt Bacak is selling, which has been promoted by such capable affiliates as Curt Maly, is a PDF ebook that you can download immediately after purchasing. However, there are a number of bonuses included to sweeten the deal. You get access to Mr. Bacak’s private Facebook group, and instead of a simple PDF download, you get a massive zip file full of useful files and videos.
Now that we know what we’re up against, let’s get into this secret email system review!

What is Included in the Secret Email System Download?
Here is a list of everything you get inside the zip file sold at the front end of the Secret Email System:

Matt Bacak’s 3x Formula Calculator (plus a video explaining how to use it)
1000 email swipe files in text format (swipe files or “swipes” are like templates you can repurpose in a variety of ways).
A 1.5-hour video session

Free access to Matt’s high-converting leadpages lead generation template
A massive book of swipe files (in PDF format)
A copy of Matt’s book, Secrets of the Internet Millionaire Mind,
A video tutorial on how to select “irresistible offers” from affiliate marketplaces.

The PDF version of The Secret Email System
The Checklist for the Secret Email System PDF
Text files containing instructions for joining the Facebook group and other bonuses
Matt was charging less than $6 for all of that value last time I checked. He is demonstrating his many years of experience in internet marketing by creating an irresistible offer that people will want to buy and affiliates will want to promote. As a result, the Secret Email System has sold more copies on Warrior Plus than any other product in recent memory.

Examine everything included in the secret email system
Who is Matt Bacak, and why should I listen to him?
Many consider Matt Bacak to be an internet marketing legend, and email marketing is his primary focus. My first encounter with Matt came in the form of some Facebook ads he ran. Matt explained who he was in the video ad (which featured a little guy dancing in the background) and invited me to visit his blog, which I did. He demonstrated a thorough understanding of online business, so it’s no surprise that he put together the ultimate email marketing package.
headshot of Matt Bacak

Overall, Matt’s ad was one of the strangest Facebook ads I’ve ever seen. It was also one of the most effective and memorable. I didn’t buy whatever Matt was selling that day, but I read his blog and remembered his name and who he was. When I saw Curt Maly running ads for Matt Bacak’s Secret Email System months later, it made a big difference.

When I saw that the price was under $6 and that the bonuses were included, I knew I had to buy the product. I didn’t buy it right away because I was too busy, but it stayed in the back of my mind until I had the opportunity to do so.
If it isn’t obvious, I’ll explain: the reason you should listen to Matt Bacak is that he knows how to get inside people’s heads and stay there, both as a marketer and as a public figure.

Is the Secret Email System Training of Good Quality?
At first glance, the training does not appear to be groundbreaking, but this is because the creator is unconcerned about flashy packaging. You literally get a zip file full of stuff that most people would put on a membership website. I can see how this would irritate some people who are used to flashy ClickFunnels and Kajabi courses.

If that describes you, you’re missing out. Matt’s training isn’t flashy, but it describes a solid system that most businesses can implement in some way. As the name implies, it all revolves around building a list and emailing it on a regular basis. Did I ruin the surprise?
Front end offer and upsells from a secret email system
Bonuses from the Secret Email System (and a Bonus From Me)
I’ve already outlined everything you get in the zip file that serves as the funnel’s front-end offer. Everything else, other than the Secret Email System PDF itself, is considered a bonus, and the total value could easily be in the hundreds of dollars.

That’s why purchasing this product was such a no-brainer for me. I already knew how to write good marketing emails, but I really wanted to look inside Matt’s system.
In addition to everything else, you’ll get lifetime access to Matt’s private Facebook community. He answers questions from people here on a daily basis, and it can be a great place to learn.

The truth is that you get so much value and stuff from purchasing this product that adding another bonus is almost pointless. But I’m a bonus machine, so be prepared.
In 2020, I published my first book on email marketing, How to Build Your First Money Making Email List. You’re already getting a lot of reading material, but if you purchase Matt’s product through my link, I’ll add it to the stack. Most of the books I write sell for $27, so this just adds to the ridiculous valuation of this sub-six-dollar product.
Bonuses Bonuses for Matt Bacak’s Secret Email System
Will This Product Really Help You Make Money Online?

It all depends on whether or not you use the secret email system. According to multiple sources, Matt Bacak is in charge of millions of dollars in sales for both himself and his clients. And the best thing about this guy is that he’s upfront and honest, and he puts his money where his mouth is. What I mean is that he doesn’t hold anything back in the books he writes. That is another reason he has amassed such a large and devoted fan base.

Finally, if your business can profit from email marketing or if you want to use email marketing to become an influential public figure, I believe this ebook can assist you. It helped me improve my understanding of the business side of being an affiliate marketer and is far more valuable than the price tag. This product will be especially useful if you want to get started in affiliate marketing with a small investment.

matt bacak’s business model
Going Beyond My Review – Secret Email System
The book itself goes beyond email marketing, but I don’t want to give too much away. Instead, I’ll go over some of the finer points of lead generation quickly so you can get started building your email list as soon as possible.

Now, I’m guessing that roughly 90% of people reading this review are affiliate marketers or are interested in affiliate marketing. As a result, I’m going to focus on lead generation strategies used by many successful affiliates. If you want to learn more about my favorite affiliate marketing strategies, click on that link to read my in-depth guide.

The Most Effective Methods for Building an Email List
Here’s a rundown of some of the best (and quickest) ways to build an email list. First, you’ll need a way to collect emails, and it must be a high-converting method. My favorite lead generation tools are:
ConvertBox (on-site messaging software/advanced popup builder)
ConversioBot (website chatbot platform)

You may have noticed that the majority of them are chatbots. Chatbots, on the other hand, are one of the best ways to not only capture an email address, but also to obtain additional customer information and even directly sell products.
The following are the most effective ways to drive traffic to these tools:
Facebook ads (particularly effective when paired with ConvertBox)
Google Ads and YouTube Ads (a killer combination with ConvertBox or Conversiobot)

Influencer Marketing
Facebook organic marketing
Search Engine Optimization
Secret Email System sales page Matt Bacak

If you can master even one of those traffic methods and use it to drive people to a high-converting optin or sales funnel, you’ll be well on your way to creating a recurring income.
Whether or not you choose to purchase this product through my link, I wish you the best of luck with your online business. If you do purchase the system, I hope to see you in the Facebook community! Please feel free to contact me via message or email at any time.

And if you do get the ebook through my link, please let me know so I can send you a copy of my book as a bonus!

Frequently Asked Questions (FAQs) About The Secret Email System
Here are some frequently asked product-related questions.
Is the secret email system bonus worth it?

In my opinion, the front end product and the majority of the bonuses are worth the price. I would have paid more just to gain access to Matt’s Facebook group!
What are the benefits of a hidden email system?
The main benefit is that you will learn one of the highest ROI business practices (email marketing) from someone who has built a seven-figure online business.

What do you call email marketing?
Email marketing is an important component of digital marketing for many businesses. Email marketing software is frequently referred to as an autoresponder, but a good email marketing platform will have more functionality.

Is this a legitimate way to make money online?
My secret email system review says it’s a great way to make money online as long as your online business uses marketing emails. It does require a list, but Matt teaches several methods for creating one.

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