1604165400
Traditionally food inspection has been done through human inspection a process which was tedious, expensive, destructive, and most a time wasn’t reliable given the uncountable human errors. Currently, the use of technology for food inspection has been introduced globally and has proven effective. The increased consumer awareness and quality demand in the market have created the need for quality sorting and delivery of top quality products in the market for it is a necessity not just for consumer taste but also a need for human health. Computer vision process provides an alternative for a computerized, non-destructive, cost-effective technique to accomplish the task. The process currently is applied to assessing the quality of fruits, vegetables, and eggs, and other food products. The process includes capturing, processing, and analyzing images, facilitating the objective and non-destructive assessment of the visual quality characteristic of food products.
The basics of computer vision quality check on food products.
A digital image is produced by several image sensors which include many light-sensitive digital cameras, range sensors, radar, tomographic sensors, ultrasonic cameras amongst others. Depending on the quality of the sensors used the image produced can be 2D or 3Dimage or image sequences.
Preprocessing.
This is a process used to determine whether the images contain specific data required for the process. The process includes Resampling, to assume that the image coordinates system is correct. Noise reduction to ensure that the sensor noise does not cause false information, contrast enhancement to ensure all details are detected, and scale-space representation to ensure that image structures are at a locally appropriate scale.
Feature extraction.
Specific features are extracted from the images which will help determine the quality of a product. This feature may include line edge and ridges or localized interest points such as bolds and points while more complex features may be related to motion, shape, or texture.
#machine-learning #computer-science #tensorflow #data-science
1624434020
Computer vision can be defined as a field of artificial intelligence that trains computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects and then react to what they “see.”
Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos.
In today’s world computer vision is very useful in many fields such as — :
*_ Inventory management — : _**In the case of inventory management, the applications can be in the field of security camera image analysis where a computer vision algorithm can generate a very accurate estimate of the items available in the store. Another field can be Analyzing the use of shelf space to identify suboptimal configurations.
* **Manufacturing — : **In the Field of manufacturing Computer vision can help in **predictive maintenance **of the machines.
*** Healthcare — : In the field of healthcare computer Vision can be used in medical image analysis.** Images from CT scans and X-rays are analyzed to find anomalies such as tumors or search for signs of neurological illnesses.
* **Autonomous vehicles — : **The field of computer vision plays a central role in the domain of autonomous vehicles since it allows them to perceive and understand the environment around them in order to operate correctly. One of the most exciting challenges in computer vision is object detection in images and videos. This involves locating a varying number of objects and the ability to classify them, in order to distinguish if an object is a traffic light, a car, or a person, as in the video below.
#computer-vision #opencv #mediapipe #anaconda-navigator #python #computer vision using mediapipe
1659736920
This project is based on the need for a private message system for ging / social_stream. Instead of creating our core message system heavily dependent on our development, we are trying to implement a generic and potent messaging gem.
After looking for a good gem to use we noticed the lack of messaging gems and functionality in them. Mailboxer tries to fill this void delivering a powerful and flexible message system. It supports the use of conversations with two or more participants, sending notifications to recipients (intended to be used as system notifications “Your picture has new comments”, “John Doe has updated his document”, etc.), and emailing the messageable model (if configured to do so). It has a complete implementation of a Mailbox
object for each messageable with inbox
, sentbox
and trash
.
The gem is constantly growing and improving its functionality. As it is used with our parallel development ging / social_stream we are finding and fixing bugs continously. If you want some functionality not supported yet or marked as TODO, you can create an issue to ask for it. It will be great feedback for us, and we will know what you may find useful in the gem.
Mailboxer was born from the great, but outdated, code from lpsergi / acts_as_messageable.
We are now working to make exhaustive documentation and some wiki pages in order to make it even easier to use the gem to its full potential. Please, give us some time if you find something missing or ask for it. You can also find us on the Gitter room for this repo. Join us there to talk.
Add to your Gemfile:
gem 'mailboxer'
Then run:
$ bundle install
Run install script:
$ rails g mailboxer:install
And don't forget to migrate your database:
$ rake db:migrate
You can also generate email views:
$ rails g mailboxer:views
If upgrading from 0.11.0 to 0.12.0, run the following generators:
$ rails generate mailboxer:namespacing_compatibility
$ rails generate mailboxer:install -s
Then, migrate your database:
$ rake db:migrate
We are now adding support for sending emails when a Notification or a Message is sent to one or more recipients. You should modify the mailboxer initializer (/config/initializer/mailboxer.rb) to edit these settings:
Mailboxer.setup do |config|
#Enables or disables email sending for Notifications and Messages
config.uses_emails = true
#Configures the default `from` address for the email sent for Messages and Notifications of Mailboxer
config.default_from = "no-reply@dit.upm.es"
...
end
You can change the way in which emails are delivered by specifying a custom implementation of notification and message mailers:
Mailboxer.setup do |config|
config.notification_mailer = CustomNotificationMailer
config.message_mailer = CustomMessageMailer
...
end
If you have subclassed the Mailboxer::Notification class, you can specify the mailers using a member method:
class NewDocumentNotification < Mailboxer::Notification
def mailer_class
NewDocumentNotificationMailer
end
end
class NewCommentNotification < Mailboxer::Notification
def mailer_class
NewDocumentNotificationMailer
end
end
Otherwise, the mailer class will be determined by appending 'Mailer' to the mailable class name.
Users must have an identity defined by a name
and an email
. We must ensure that Messageable models have some specific methods. These methods are:
#Returning any kind of identification you want for the model
def name
return "You should add method :name in your Messageable model"
end
#Returning the email address of the model if an email should be sent for this object (Message or Notification).
#If no mail has to be sent, return nil.
def mailboxer_email(object)
#Check if an email should be sent for that object
#if true
return "define_email@on_your.model"
#if false
#return nil
end
These names are explicit enough to avoid colliding with other methods, but as long as you need to change them you can do it by using mailboxer initializer (/config/initializer/mailboxer.rb). Just add or uncomment the following lines:
Mailboxer.setup do |config|
# ...
#Configures the methods needed by mailboxer
config.email_method = :mailboxer_email
config.name_method = :name
config.notify_method = :notify
# ...
end
You may change whatever you want or need. For example:
config.email_method = :notification_email
config.name_method = :display_name
config.notify_method = :notify_mailboxer
Will use the method notification_email(object)
instead of mailboxer_email(object)
, display_name
for name
and notify_mailboxer
for notify
.
Using default or custom method names, if your model doesn't implement them, Mailboxer will use dummy methods so as to notify you of missing methods rather than crashing.
In your model:
class User < ActiveRecord::Base
acts_as_messageable
end
You are not limited to the User model. You can use Mailboxer in any other model and use it in several different models. If you have ducks and cylons in your application and you want to exchange messages as if they were the same, just add acts_as_messageable
to each one and you will be able to send duck-duck, duck-cylon, cylon-duck and cylon-cylon messages. Of course, you can extend it for as many classes as you need.
Example:
class Duck < ActiveRecord::Base
acts_as_messageable
end
class Cylon < ActiveRecord::Base
acts_as_messageable
end
Version 0.8.0 sees Messageable#read
and Messageable#unread
renamed to mark_as_(un)read
, and Receipt#read
and Receipt#unread
to is_(un)read
. This may break existing applications, but read
is a reserved name for Active Record, and the best pratice in this case is simply avoid using it.
#alfa wants to send a message to beta
alfa.send_message(beta, "Body", "subject")
As a messageable, what you receive are receipts, which are associated with the message itself. You should retrieve your receipts for the conversation and get the message associated with them.
This is done this way because receipts save the information about the relation between messageable and the messages: is it read?, is it trashed?, etc.
#alfa gets the last conversation (chronologically, the first in the inbox)
conversation = alfa.mailbox.inbox.first
#alfa gets it receipts chronologically ordered.
receipts = conversation.receipts_for alfa
#using the receipts (i.e. in the view)
receipts.each do |receipt|
...
message = receipt.message
read = receipt.is_unread? #or message.is_unread?(alfa)
...
end
#alfa wants to reply to all in a conversation
#using a receipt
alfa.reply_to_all(receipt, "Reply body")
#using a conversation
alfa.reply_to_conversation(conversation, "Reply body")
#alfa wants to reply to the sender of a message (and ONLY the sender)
#using a receipt
alfa.reply_to_sender(receipt, "Reply body")
#delete conversations forever for one receipt (still in database)
receipt.mark_as_deleted
#you can mark conversation as deleted for one participant
conversation.mark_as_deleted participant
#Mark the object as deleted for messageable
#Object can be:
#* A Receipt
#* A Conversation
#* A Notification
#* A Message
#* An array with any of them
alfa.mark_as_deleted conversation
# get available message for specific user
conversation.messages_for(alfa)
#alfa wants to retrieve all his conversations
alfa.mailbox.conversations
#A wants to retrieve his inbox
alfa.mailbox.inbox
#A wants to retrieve his sent conversations
alfa.mailbox.sentbox
#alfa wants to retrieve his trashed conversations
alfa.mailbox.trash
You can use Kaminari to paginate the conversations as normal. Please, make sure you use the last version as mailboxer uses select('DISTINCT conversations.*')
which was not respected before Kaminari 0.12.4 according to its changelog. Working correctly on Kaminari 0.13.0.
#Paginating all conversations using :page parameter and 9 per page
conversations = alfa.mailbox.conversations.page(params[:page]).per(9)
#Paginating received conversations using :page parameter and 9 per page
conversations = alfa.mailbox.inbox.page(params[:page]).per(9)
#Paginating sent conversations using :page parameter and 9 per page
conversations = alfa.mailbox.sentbox.page(params[:page]).per(9)
#Paginating trashed conversations using :page parameter and 9 per page
conversations = alfa.mailbox.trash.page(params[:page]).per(9)
You can take a look at the full documentation for Mailboxer in rubydoc.info.
Thanks to Roman Kushnir (@RKushnir) you can test Mailboxer with this sample app.
If you need a GUI you should take a look at these links:
Author: mailboxer
Source code: https://github.com/mailboxer/mailboxer
License: MIT license
1620729846
Can you use WordPress for anything other than blogging? To your surprise, yes. WordPress is more than just a blogging tool, and it has helped thousands of websites and web applications to thrive. The use of WordPress powers around 40% of online projects, and today in our blog, we would visit some amazing uses of WordPress other than blogging.
What Is The Use Of WordPress?
WordPress is the most popular website platform in the world. It is the first choice of businesses that want to set a feature-rich and dynamic Content Management System. So, if you ask what WordPress is used for, the answer is – everything. It is a super-flexible, feature-rich and secure platform that offers everything to build unique websites and applications. Let’s start knowing them:
1. Multiple Websites Under A Single Installation
WordPress Multisite allows you to develop multiple sites from a single WordPress installation. You can download WordPress and start building websites you want to launch under a single server. Literally speaking, you can handle hundreds of sites from one single dashboard, which now needs applause.
It is a highly efficient platform that allows you to easily run several websites under the same login credentials. One of the best things about WordPress is the themes it has to offer. You can simply download them and plugin for various sites and save space on sites without losing their speed.
2. WordPress Social Network
WordPress can be used for high-end projects such as Social Media Network. If you don’t have the money and patience to hire a coder and invest months in building a feature-rich social media site, go for WordPress. It is one of the most amazing uses of WordPress. Its stunning CMS is unbeatable. And you can build sites as good as Facebook or Reddit etc. It can just make the process a lot easier.
To set up a social media network, you would have to download a WordPress Plugin called BuddyPress. It would allow you to connect a community page with ease and would provide all the necessary features of a community or social media. It has direct messaging, activity stream, user groups, extended profiles, and so much more. You just have to download and configure it.
If BuddyPress doesn’t meet all your needs, don’t give up on your dreams. You can try out WP Symposium or PeepSo. There are also several themes you can use to build a social network.
3. Create A Forum For Your Brand’s Community
Communities are very important for your business. They help you stay in constant connection with your users and consumers. And allow you to turn them into a loyal customer base. Meanwhile, there are many good technologies that can be used for building a community page – the good old WordPress is still the best.
It is the best community development technology. If you want to build your online community, you need to consider all the amazing features you get with WordPress. Plugins such as BB Press is an open-source, template-driven PHP/ MySQL forum software. It is very simple and doesn’t hamper the experience of the website.
Other tools such as wpFoRo and Asgaros Forum are equally good for creating a community blog. They are lightweight tools that are easy to manage and integrate with your WordPress site easily. However, there is only one tiny problem; you need to have some technical knowledge to build a WordPress Community blog page.
4. Shortcodes
Since we gave you a problem in the previous section, we would also give you a perfect solution for it. You might not know to code, but you have shortcodes. Shortcodes help you execute functions without having to code. It is an easy way to build an amazing website, add new features, customize plugins easily. They are short lines of code, and rather than memorizing multiple lines; you can have zero technical knowledge and start building a feature-rich website or application.
There are also plugins like Shortcoder, Shortcodes Ultimate, and the Basics available on WordPress that can be used, and you would not even have to remember the shortcodes.
5. Build Online Stores
If you still think about why to use WordPress, use it to build an online store. You can start selling your goods online and start selling. It is an affordable technology that helps you build a feature-rich eCommerce store with WordPress.
WooCommerce is an extension of WordPress and is one of the most used eCommerce solutions. WooCommerce holds a 28% share of the global market and is one of the best ways to set up an online store. It allows you to build user-friendly and professional online stores and has thousands of free and paid extensions. Moreover as an open-source platform, and you don’t have to pay for the license.
Apart from WooCommerce, there are Easy Digital Downloads, iThemes Exchange, Shopify eCommerce plugin, and so much more available.
6. Security Features
WordPress takes security very seriously. It offers tons of external solutions that help you in safeguarding your WordPress site. While there is no way to ensure 100% security, it provides regular updates with security patches and provides several plugins to help with backups, two-factor authorization, and more.
By choosing hosting providers like WP Engine, you can improve the security of the website. It helps in threat detection, manage patching and updates, and internal security audits for the customers, and so much more.
#use of wordpress #use wordpress for business website #use wordpress for website #what is use of wordpress #why use wordpress #why use wordpress to build a website
1604165400
Traditionally food inspection has been done through human inspection a process which was tedious, expensive, destructive, and most a time wasn’t reliable given the uncountable human errors. Currently, the use of technology for food inspection has been introduced globally and has proven effective. The increased consumer awareness and quality demand in the market have created the need for quality sorting and delivery of top quality products in the market for it is a necessity not just for consumer taste but also a need for human health. Computer vision process provides an alternative for a computerized, non-destructive, cost-effective technique to accomplish the task. The process currently is applied to assessing the quality of fruits, vegetables, and eggs, and other food products. The process includes capturing, processing, and analyzing images, facilitating the objective and non-destructive assessment of the visual quality characteristic of food products.
The basics of computer vision quality check on food products.
A digital image is produced by several image sensors which include many light-sensitive digital cameras, range sensors, radar, tomographic sensors, ultrasonic cameras amongst others. Depending on the quality of the sensors used the image produced can be 2D or 3Dimage or image sequences.
Preprocessing.
This is a process used to determine whether the images contain specific data required for the process. The process includes Resampling, to assume that the image coordinates system is correct. Noise reduction to ensure that the sensor noise does not cause false information, contrast enhancement to ensure all details are detected, and scale-space representation to ensure that image structures are at a locally appropriate scale.
Feature extraction.
Specific features are extracted from the images which will help determine the quality of a product. This feature may include line edge and ridges or localized interest points such as bolds and points while more complex features may be related to motion, shape, or texture.
#machine-learning #computer-science #tensorflow #data-science
1620458262
Computer Vision attempts to perform the tasks that a human brain does with the aid of human eyes. Computer Vision is a branch of Deep Learning that deals with images and videos. Computer Vision tasks can be roughly classified into two categories:
Discriminative tasks, in general, are about predicting the probability of occurrence (e.g. class of an image) given probability distribution (e.g. features of an image). Generative tasks, in general, are about generating the probability distribution (e.g. generating an image) given the probability of occurrence (e.g. class of an image) and/or other conditions.
Discriminative Computer Vision finds applications in image classification, object detection, object recognition, shape detection, pose estimation, image segmentation, etc. Generative Computer Vision finds applications in photo enhancement, image synthesis, augmentation, deepfake videos, etc.
This article aims to give a strong foundation to Computer Vision by exploring image classification tasks using Convolutional Neural Networks built with TensorFlow Keras. More importance has been given to both the coding part and the key concepts of theory and math behind each operation. Let’s start our Computer Vision journey!
Readers are expected to have a basic understanding of deep learning. This article, “Getting Started With Deep Learning Using TensorFlow Keras”, helps one grasp the fundamentals of deep learning.
#developers corner #computer vision #fashion mnist #image #image classification #keras #tensorflow #vision