Wilford  Pagac

Wilford Pagac

1608879892

Detecting Pneumonia using CNNs in TensorFlow

It’s insane how you can detect pneumonia in images using deep learning models, saving an individual’s life. According to the World Health Organization, pneumonia kills around 2 million children under the age of 5 years and is repeatedly estimated as the single leading cause of child mortality. This means that pneumonia kills more children than HIV, malaria, and measles combined.

Additionally, the World Health Organization states that 95 % of childhood pneumonia occurs in developing countries, more specifically in the regions of Southeast Asia and Africa. What causes pneumonia? Bacterial and viral pathogens are the leading causes.

Bacterial and viral pneumonia are treated in different manners. In terms of bacterial pneumonia, urgent care is necessary along with antibiotic treatment, in contrast to viral pneumonia which is treated through supportive care.

Thus, accurate and prompt diagnosis of pneumonia is important, and by building a CNN, we are able to analyze chest x-rays to detect pneumonia.

#machine-learning #deep-learning #tensorflow #artificial-intelligence #developer

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Buddha Community

Detecting Pneumonia using CNNs in TensorFlow

TensorFlow Lite Object Detection using Raspberry Pi and Pi Camera

I have not created the Object Detection model, I have just merely cloned Google’s Tensor Flow Lite model and followed their Raspberry Pi Tutorial which they talked about in the Readme! You don’t need to use this article if you understand everything from the Readme. I merely talk about what I did!

Prerequisites:

  • I have used a Raspberry Pi 3 Model B and PI Camera Board (3D printed a case for camera board). **I had this connected before starting and did not include this in the 90 minutes **(plenty of YouTube videos showing how to do this depending on what Pi model you have. I used a video like this a while ago!)

  • I have used my Apple Macbook which is Linux at heart and so is the Raspberry Pi. By using Apple you don’t need to install any applications to interact with the Raspberry Pi, but on Windows you do (I will explain where to go in the article if you use windows)

#raspberry-pi #object-detection #raspberry-pi-camera #tensorflow-lite #tensorflow #tensorflow lite object detection using raspberry pi and pi camera

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

A Demo Code Of Training and Testing using Tensorflow

ProbFace, arxiv

This is a demo code of training and testing [ProbFace] using Tensorflow. ProbFace is a reliable Probabilistic Face Embeddging (PFE) method. The representation of each face will be an Guassian distribution parametrized by (mu, sigma), where mu is the original embedding and sigma is the learned uncertainty. Experiments show that ProbFace could

  • improve the robustness of PFE.
  • simplify the calculation of the multal likelihood score (MLS).
  • improve the recognition performance on the risk-controlled scenarios.

#machine learning #tensorflow #testing #a demo code of training and testing using tensorflow #a demo code of training #testing using tensorflow

Rusty  Shanahan

Rusty Shanahan

1598292120

Traffic Sign Detection Using YOLOv2 and Tensorflow 2

Deep learning has revolutionized the realm of computer vision. Neural Networks are widely used in almost all of the cutting-edge tech such as Tesla’s auto-pilot feature. They perform too well that there are times they lead to ethical issues and conflicts. Well, we won’t be diving into those today. Let’s focus on a sub-category of computer vision called “Detection”.

What does one mean by detecting an object? When we see an object, we can exactly point where it is and determine what it is with ease. For computers though, the task is not so simple. This has been an active area of research for years and continues to be so today. In the past decade, with the advent of (rather the resurgence) of deep learning we were able to achieve good results to an extent that it has been possible to use it real-time scenarios.

Here we will be using German Traffic Sign Detection Benchmark(GTSDB) Dataset.


Overview

There are several Neural Network architectures for detection:-

  • R-CNN family of architectures
  • Single Shot Detectors
  • YOLO — You Only Look Once

We will today be seeing the implementation of YOLOv2(A variant of the original YOLO architecture) without going into much details as to how it works.

YOLO came on the computer vision scene with the seminal 2015 paper by Joseph Redmon et al. “You Only Look Once: Unified, Real-Time Object Detection,” and immediately got a lot of attention by fellow computer vision researchers. Here is a TED talk by University of Washington researcher Redmon in 2017 highlighting the state of the art in computer vision.

#tensorflow #gtsdb #yolov2 #object-detection #tensorflow

Dominic  Feeney

Dominic Feeney

1624432032

A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi

TensorFlow-Object-Detection-on-the-Raspberry-Pi

Update 10/13/19: Setting up the TensorFlow Object Detection API on the Pi is much easier now! Two major updates: 1) TensorFlow can be installed simply using “pip3 install tensorflow”. 2) The protobuf compiler (protoc) can be installed using "sudo apt-get protobuf-compiler. I have updated Step 3 and Step 4 to reflect these changes.

Bonus: I made a Pet Detector program (Pet_detector.py) that sends me a text when it detects when my cat wants to be let outside! It runs on the Raspberry Pi and uses the TensorFlow Object Detection API. You can use the code as an example for your own object detection applications. More info is available at the bottom of this readme.

Introduction

This guide provides step-by-step instructions for how to set up TensorFlow’s Object Detection API on the Raspberry Pi. By following the steps in this guide, you will be able to use your Raspberry Pi to perform object detection on live video feeds from a Picamera or USB webcam. Combine this guide with my tutorial on how to train your own neural network to identify specific objects, and you use your Pi for unique detection applications such as:

Here’s a YouTube video I made that walks through this guide!

The guide walks through the following steps:

  1. Update the Raspberry Pi
  2. Install TensorFlow
  3. Install OpenCV
  4. Compile and install Protobuf
  5. Set up TensorFlow directory structure and the PYTHONPATH variable
  6. Detect objects!
  7. Bonus: Pet detector!

The repository also includes the Object_detection_picamera.py script, which is a Python script that loads an object detection model in TensorFlow and uses it to detect objects in a Picamera video feed. The guide was written for TensorFlow v1.8.0 on a Raspberry Pi Model 3B running Raspbian Stretch v9. It will likely work for newer versions of TensorFlow.

#tensorflow #raspberrypi #hardware #api #set up tensorflow's object detection api #a tutorial showing how to set up tensorflow's object detection api on the raspberry pi