How we built an easy-to-use image segmentation tool

Introduction

Training an image segmentation model on new images can be daunting, especially when you need to label your own data. To make this task easier and faster, we built a user-friendly tool that lets you build this entire process in a single Jupyter notebook. In the sections below, we will show you how our tool lets you:

  1. Manually label your own images
  2. Build an effective segmentation model through transfer learning
  3. Visualize the model and its results
  4. Share your project as a Docker image

The main benefits of this tool are that it is easy-to-useall in one platform, and well-integrated with existing data science workflows. Through interactive widgets and command prompts, we built a user-friendly way to label images and train the model. On top of that, everything can run in a single Jupyter notebook, making it quick and easy to spin up a model, without much overhead. Lastly, by working in a Python environment and using standard libraries like Tensorflow and Matplotlib, this tool can be well-integrated into existing data science workflows, making it ideal for uses like scientific research.

For instance, in microbiology, it can be very useful to segment microscopy images of cells. However, tracking cells over time can easily result in the need to segment hundreds of images, which can be very difficult to do manually. In this article, we will use microscopy images of yeast cells as our dataset and show how we built our tool to differentiate between the background, mother cells, and daughter cells.

1. Labelling

There are many existing tools to create labelled masks for images, including LabelmeImageJ, and even the graphics editor GIMP. While these are all great tools, they can’t be integrated within a Jupyter notebook, making them harder to use with many existing workflows. Fortunately, Jupyter Widgets make it easy for us to make interactive components and connect them with the rest of our Python code.

To create training masks in the notebook, we have two problems to solve:

  1. Select parts of an image with a mouse
  2. Easily switch between images and select the class to label

To solve the first problem, we used the Matplotlib widget backend and the built-in LassoSelector. The LassoSelector handles drawing a line to show what you are selecting, but we need a little bit of custom code to draw the masks as an overlay:

Class to manage a Lasso Selector for Matplotlib in a Jupyter notebook

For the second problem, we added nice looking buttons and other controls using ipywidgets:

Image for post

We combined these elements (along with improvements like scroll to zoom) to make a single labelling controller object. Now we can take microscopy images of yeast and segment the mother cells and daughter cells:

Demo of lasso selection image labeler

You can check out the full object, which lets you scroll to zoom, right click to pan, and select multiple classes here.

Now we can label a small number of images in the notebook, save them into the correct folder structure, and start to train CNN!

2. Model Training

The Model

U-net is a convolutional neural network that was initially designed to segment biomedical images but has been successful for many other types of images. It builds upon existing convolutional networks to work better with very few training images and make more precise segmentations. It is a state-of-the-art model that is also easy to implement using the [segmentation_models](https://github.com/qubvel/segmentation_models) library.

#jupyter-notebook #visualization #transfer-learning #unet #image-segmentation #deep learning

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Buddha Community

How we built an easy-to-use image segmentation tool

I am Developer

1597469369

Crop and Resize Image Before Upload In Laravel Using with jQuery Copper JS

Crop and resize image size before upload in laravel using jquery copper js. In this post, i will show you how to crop and resize image size in laravel using jQuery copper js in laravel.

This laravel crop image before upload using cropper js looks like:

laravel crop image before upload

Laravel Crop Image Before Uploading using Cropper js Tutorial

Laravel crop image before upload tutorial, follow the following steps and learn how to use cropper js to crop image before uploading in laravel app:

  • Step 1: Install New Laravel App
  • Step 2: Add Database Details
  • Step 3: Create Migration & Model
  • Step 4: Add Route
  • Step 5: Create Controller By Artisan
  • Step 6: Create Blade View
  • Step 7: Make Upload Directory
  • Step 8: Start Development Server

Read More => https://www.tutsmake.com/laravel-crop-image-before-upload-using-jquery-copper-js/

Live Demo Laravel Crop image Before Upload.

#laravel crop image before upload, #laravel crop and resize image using cropper.js #ajax image upload and crop with jquery and laravel #crop and upload image ajax jquery laravel #crop image while uploading with jquery laravel #image crop and upload using jquery with laravel ajax

How we built an easy-to-use image segmentation tool

Introduction

Training an image segmentation model on new images can be daunting, especially when you need to label your own data. To make this task easier and faster, we built a user-friendly tool that lets you build this entire process in a single Jupyter notebook. In the sections below, we will show you how our tool lets you:

  1. Manually label your own images
  2. Build an effective segmentation model through transfer learning
  3. Visualize the model and its results
  4. Share your project as a Docker image

The main benefits of this tool are that it is easy-to-useall in one platform, and well-integrated with existing data science workflows. Through interactive widgets and command prompts, we built a user-friendly way to label images and train the model. On top of that, everything can run in a single Jupyter notebook, making it quick and easy to spin up a model, without much overhead. Lastly, by working in a Python environment and using standard libraries like Tensorflow and Matplotlib, this tool can be well-integrated into existing data science workflows, making it ideal for uses like scientific research.

For instance, in microbiology, it can be very useful to segment microscopy images of cells. However, tracking cells over time can easily result in the need to segment hundreds of images, which can be very difficult to do manually. In this article, we will use microscopy images of yeast cells as our dataset and show how we built our tool to differentiate between the background, mother cells, and daughter cells.

1. Labelling

There are many existing tools to create labelled masks for images, including LabelmeImageJ, and even the graphics editor GIMP. While these are all great tools, they can’t be integrated within a Jupyter notebook, making them harder to use with many existing workflows. Fortunately, Jupyter Widgets make it easy for us to make interactive components and connect them with the rest of our Python code.

To create training masks in the notebook, we have two problems to solve:

  1. Select parts of an image with a mouse
  2. Easily switch between images and select the class to label

To solve the first problem, we used the Matplotlib widget backend and the built-in LassoSelector. The LassoSelector handles drawing a line to show what you are selecting, but we need a little bit of custom code to draw the masks as an overlay:

Class to manage a Lasso Selector for Matplotlib in a Jupyter notebook

For the second problem, we added nice looking buttons and other controls using ipywidgets:

Image for post

We combined these elements (along with improvements like scroll to zoom) to make a single labelling controller object. Now we can take microscopy images of yeast and segment the mother cells and daughter cells:

Demo of lasso selection image labeler

You can check out the full object, which lets you scroll to zoom, right click to pan, and select multiple classes here.

Now we can label a small number of images in the notebook, save them into the correct folder structure, and start to train CNN!

2. Model Training

The Model

U-net is a convolutional neural network that was initially designed to segment biomedical images but has been successful for many other types of images. It builds upon existing convolutional networks to work better with very few training images and make more precise segmentations. It is a state-of-the-art model that is also easy to implement using the [segmentation_models](https://github.com/qubvel/segmentation_models) library.

#jupyter-notebook #visualization #transfer-learning #unet #image-segmentation #deep learning

Why Use WordPress? What Can You Do With WordPress?

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.

Read 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

Sunny  Kunde

Sunny Kunde

1597848060

Top 12 Most Used Tools By Developers In 2020

rameworks and libraries can be said as the fundamental building blocks when developers build software or applications. These tools help in opting out the repetitive tasks as well as reduce the amount of code that the developers need to write for a particular software.

Recently, the Stack Overflow Developer Survey 2020 surveyed nearly 65,000 developers, where they voted their go-to tools and libraries. Here, we list down the top 12 frameworks and libraries from the survey that are most used by developers around the globe in 2020.

(The libraries are listed according to their number of Stars in GitHub)

1| TensorFlow

**GitHub Stars: **147k

Rank: 5

**About: **Originally developed by researchers of Google Brain team, TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art research in ML. It allows developers to easily build and deploy ML-powered applications.

Know more here.

2| Flutter

**GitHub Stars: **98.3k

**Rank: **9

About: Created by Google, Flutter is a free and open-source software development kit (SDK) which enables fast user experiences for mobile, web and desktop from a single codebase. The SDK works with existing code and is used by developers and organisations around the world.


#opinions #developer tools #frameworks #java tools #libraries #most used tools by developers #python tools

50+ Useful DevOps Tools

The article comprises both very well established tools for those who are new to the DevOps methodology.

What Is DevOps?

The DevOps methodology, a software and team management approach defined by the portmanteau of Development and Operations, was first coined in 2009 and has since become a buzzword concept in the IT field.

DevOps has come to mean many things to each individual who uses the term as DevOps is not a singularly defined standard, software, or process but more of a culture. Gartner defines DevOps as:

“DevOps represents a change in IT culture, focusing on rapid IT service delivery through the adoption of agile, lean practices in the context of a system-oriented approach. DevOps emphasizes people (and culture), and seeks to improve collaboration between operations and development teams. DevOps implementations utilize technology — especially automation tools that can leverage an increasingly programmable and dynamic infrastructure from a life cycle perspective.”

As you can see from the above definition, DevOps is a multi-faceted approach to the Software Development Life Cycle (SDLC), but its main underlying strength is how it leverages technology and software to streamline this process. So with the right approach to DevOps, notably adopting its philosophies of co-operation and implementing the right tools, your business can increase deployment frequency by a factor of 30 and lead times by a factor of 8000 over traditional methods, according to a CapGemini survey.

The Right Tools for the Job

This list is designed to be as comprehensive as possible. The article comprises both very well established tools for those who are new to the DevOps methodology and those tools that are more recent releases to the market — either way, there is bound to be a tool on here that can be an asset for you and your business. For those who already live and breathe DevOps, we hope you find something that will assist you in your growing enterprise.

With such a litany of tools to choose from, there is no “right” answer to what tools you should adopt. No single tool will cover all your needs and will be deployed across a variety of development and Operational teams, so let’s break down what you need to consider before choosing what tool might work for you.

  • Plan and collaborate: Before you even begin the SDLC, your business needs to have a cohesive idea of what tools they’ll need to implement across your teams. There are even DevOps tools that can assist you with this first crucial step.
  • Build: Here you want tools that create identically provisioned environments. The last you need is to hear “But it works for me on my computer”
  • Automation: This has quickly become a given in DevOps, but automation will always drastically increase production over manual methods.
  • Continuous Integration: Tools need to provide constant and immediate feedback, several times a day but not all integrations are implemented equally, will the tool you select be right for the job?
  • Deployment: Deployments need to be kept predictable, smooth, and reliable with minimal risks, automation will also play a big part in this process.

With all that in mind, I hope this selection of tools will aid you as your business continues to expand into the DevOps lifestyle.

Tools Categories List:

Infrastructure As Code

Continuous Integration and Delivery

Development Automation

Usability Testing

Database and Big Data

Monitoring

Testing

Security

Helpful CLI Tools

Development

Visualization

Infrastructure As Code

#AWSCloudFormation

1. AWS CloudFormation

AWS CloudFormation is an absolute must if you are currently working, or planning to work, in the AWS Cloud. CloudFormation allows you to model your AWS infrastructure and provision all your AWS resources swiftly and easily. All of this is done within a JSON or YAML template file and the service comes with a variety of automation features ensuring your deployments will be predictable, reliable, and manageable.

Link: https://aws.amazon.com/cloudformation/

2. Azure Resource Manager

Azure Resource Manager (ARM) is Microsoft’s answer to an all-encompassing IAC tool. With its ARM templates, described within JSON files, Azure Resource Manager will provision your infrastructure, handle dependencies, and declare multiple resources via a single template.

Link: https://azure.microsoft.com/en-us/features/resource-manager/

#Google Cloud Deployment Manager

3. Google Cloud Deployment Manager

Much like the tools mentioned above, Google Cloud Deployment Manager is Google’s IAC tool for the Google Cloud Platform. This tool utilizes YAML for its config files and JINJA2 or PYTHON for its templates. Some of its notable features are synchronistic deployment and ‘preview’, allowing you an overhead view of changes before they are committed.

Link: https://cloud.google.com/deployment-manager/

4. Terraform

Terraform is brought to you by HashiCorp, the makers of Vault and Nomad. Terraform is vastly different from the above-mentioned tools in that it is not restricted to a specific cloud environment, this comes with increased benefits for tackling complex distributed applications without being tied to a single platform. And much like Google Cloud Deployment Manager, Terraform also has a preview feature.

Link: https://www.terraform.io/

#Chef

5. Chef

Chef is an ideal choice for those who favor CI/CD. At its heart, Chef utilizes self-described recipes, templates, and cookbooks; a collection of ready-made templates. Cookbooks allow for consistent configuration even as your infrastructure rapidly scales. All of this is wrapped up in a beautiful Ruby-based DSL pie.

Link: https://www.chef.io/products/chef-infra/

#Ansible

#tools #devops #devops 2020 #tech tools #tool selection #tool comparison