How to use OpenCV with GPU on Colab?

**OpenCV’s ‘Deep Neural Network’ (dnn) **module is a convenient tool for computer vision, it is very easy to apply some techniques such as Yolo and OpenPose. However, the major drawback of OpenCV was the lack of GPU support, resulting in slow inference. Luckily since OpenCV 4.2, NVIDIA GPU/CUDA is supported.

It still required some works to use GPU, you can check Pyimagesearch’s article here, they demonstrate how to set up a Ubuntu machine.

If you do not have a machine with GPU like me, you can consider using Google Colab, which is a free service with powerful NVIDIA GPU. It is also a lot easier to set up, most of the requirements are already satisfied. In this article, I will share how I set up the Colab environment for OpenCV’s dnn with GPU in just a few lines of code. You can also check here, I made slight changes based on the answer.

The code to assign the dnnto GPU is simple:

import cv2
net = cv2.dnn.readNetFromCaffe(protoFile, weightsFile)
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_CUDA)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CUDA)

However, if you run this cell directly on Colab, you will see this error:

Image for post

#computer-vision #programming #deep-learning #data-science #opencv

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How to use OpenCV with GPU on Colab?

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.

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#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

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🔥 Unboxing: Innosilicon G32-500W ⛏⚒ G32-1800W | A10 ETHMaster

Order Now : https://antminerfarm.com/product-category/innosilicon/
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#gpu mining os #gpu mining on mac #gaming on mining gpu #gpu mining september 2019 #testing used mining gpu

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Helene Ward

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How to Run YOLOR Object Detection in COLAB Using FREE CLOUD GPU

In this YOLOR Object Detection Tutorial, You will get YOLOR working in Google Colab using a FREE GPU, on Images and Video. YOLOR stands for (You Only Learn One Representation) and is better and faster than YOLOv4, YOLOv5 etc.


#colab #opencv #python 

Python Imread(): Different Ways to Load an Image using The OpenCV.imread() Method

In this tutorial, we will learn how to use imread() method of OpenCV-Python in detail and different ways to load an image using imread() method.

Table of Contents

What is Python imread()?

Importing OpenCV to use Python imread()

Syntax of the Python imread() method

Image formats supported by Python imread() method

#python modules #opencv-python #python imread() #opencv.imread() #python imread(): different ways to load an image using the opencv.imread() method #load an image

How to use OpenCV with GPU on Colab?

**OpenCV’s ‘Deep Neural Network’ (dnn) **module is a convenient tool for computer vision, it is very easy to apply some techniques such as Yolo and OpenPose. However, the major drawback of OpenCV was the lack of GPU support, resulting in slow inference. Luckily since OpenCV 4.2, NVIDIA GPU/CUDA is supported.

It still required some works to use GPU, you can check Pyimagesearch’s article here, they demonstrate how to set up a Ubuntu machine.

If you do not have a machine with GPU like me, you can consider using Google Colab, which is a free service with powerful NVIDIA GPU. It is also a lot easier to set up, most of the requirements are already satisfied. In this article, I will share how I set up the Colab environment for OpenCV’s dnn with GPU in just a few lines of code. You can also check here, I made slight changes based on the answer.

The code to assign the dnnto GPU is simple:

import cv2
net = cv2.dnn.readNetFromCaffe(protoFile, weightsFile)
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_CUDA)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CUDA)

However, if you run this cell directly on Colab, you will see this error:

Image for post

#computer-vision #programming #deep-learning #data-science #opencv