How To Install OpenCV On Windows? Edureka
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YouTube Link: https://youtu.be/-h4TIVO01XI ** Python Certification Training: https://www.edureka.co/python ** This Edureka video on 'How To Install OpenCV On WIndows' will help you understand how you can install OpenCV on windows along with a few applications of OpenCv module in python. Following are the topics discussed: What Is OpenCV? Applications Of OpenCV How To Install OpenCV? Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Castbox: https://castbox.fm/networks/505?country=in
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Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts,Figma basics: Creating basic responsive elements like
buttons, input elements, etc. to understand frames,
groups, layout, constraints, texts, vector, color palette,
etc.
vector, color palette,
etc.
Figma basics: Creating basic responsive elementsF
The not so short introduction to Kinect
The document provides an introduction to the Kinect sensor. It discusses Kinect hardware, including its RGB camera, IR depth sensor, and IR projector. It explains the Kinect's time-of-flight depth sensing technology. The document also discusses the OpenNI and NITE middleware for accessing Kinect sensor data. It provides code examples for retrieving depth maps and skeletal tracking data from the Kinect. Overall, the document aims to educate readers on developing applications using the Kinect by exploring its technical capabilities and available development platforms.
Opencv
This document provides an introduction and overview of OpenCV (Open Source Computer Vision Library) in Python. It discusses the history and goals of OpenCV, how to install OpenCV on Windows, Linux and Mac systems, and how to perform basic tasks like reading/opening images and video files, accessing the webcam, and applying computer vision techniques like edge detection, image filtering, and Canny edge detection on images and video. The document also mentions some common applications of OpenCV like face recognition and self-driving cars that utilize computer vision.
OpenCV
Computer vision is the study of analyzing images and videos to understand and interpret visual content. It involves developing techniques to achieve tasks like object detection and recognition. Computer vision has many applications including optical character recognition, face detection, 3D modeling, robotics, medical imaging, and self-driving cars. OpenCV is a popular open source library for computer vision that contains over 2500 optimized algorithms and supports languages like C++, Python, and Java.
بینایی ماشین
Computer vision is the study of analyzing images and videos to understand and interpret visual content. It involves developing techniques to achieve tasks like object detection and recognition. Computer vision has many applications including optical character recognition, face detection, 3D modeling, robotics, medical imaging, and self-driving cars. OpenCV is a popular open source library for computer vision that contains over 2500 optimized algorithms and supports languages like C++, Python, and Java.
Open cv
OpenCV is an open source computer vision and machine learning library that can process images and videos in real-time. It is written in C/C++ and has interfaces for Python, Ruby, and other languages. OpenCV contains over 500 functions for computer vision tasks like factory product inspection, medical imaging, and robotics. It also includes a machine learning library for tasks like pattern recognition and clustering. The goal of OpenCV is to provide a simple infrastructure for building computer vision applications quickly.
DevOps for AI Apps
DevOps for AI Applications - How to apply best practices from software engineering to the world of data science and machine learning
Cloud Computing
Software as a Service (SaaS) is a software distribution model in which applications are hosted by a vendor or service provider and made available to customers over a network, typically the Internet.
01 foundations
This document provides legal notices and disclaimers for an Intel presentation. It states that the presentation is for informational purposes only and that Intel makes no warranties. It also notes that performance can vary depending on system configuration and that sample source code is released under an Intel license agreement. Finally, it lists various trademarks.
Computer vision and Open CV
The document discusses computer vision using Python and OpenCV. It begins with an introduction to robotics and artificial intelligence vs robotics. It then covers computer vision, introducing Python and OpenCV. The rest of the document discusses digital image representation, computer vision components, OpenCV examples, and basic requirements for image processing using OpenCV.
SRV312 DevOps on AWS: Building Systems to Deliver Faster
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high quality software at a fast pace. In this session, we cover how you can begin your DevOps journey by sharing best practices and tools used by engineering teams at Amazon. We showcase how you can accelerate developer productivity by implementing continuous integration and delivery workflows. In addition, we introduce AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, and AWS X-Ray, the services inspired by Amazon's internal developer tools and DevOps practices.
Image Detection and Count Using Open Computer Vision (Opencv)
This document discusses OpenCV (Open Source Computer Vision Library) which is a library of programming functions for real-time computer vision. It introduces OpenCV and describes its features including being cross-platform, open source, and optimized for performance. It also summarizes some common computer vision and image processing algorithms available in OpenCV like smoothing, morphology, resizing, camera calibration, and optical flow calculations. Machine learning methods are also incorporated for tasks like face detection and tracking.
DevOps on AWS - Building Systems to Deliver Faster
by Nick Brandaleone, Solutions Architect AWS
Join us to learn about continuous integration, continuous delivery, and DevOps. The AWS Developer Tools have been designed based on the tools used by Amazon engineers to rapidly and reliably deliver products and features to customers. We’ll provide overviews of the services and best practices followed by a hands-on workshop to help you learn how to automate your software release processes, deploy application code, and monitor your application and infrastructure performance.
Taking AppSec to 11 - BSides Austin 2016
This document summarizes Matt Tesauro's presentation "Taking AppSec to 11" given at Bsidess Austin 2016. The presentation discusses implementing application security (AppSec) pipelines to improve workflows and optimize critical resources like AppSec personnel. Key points include automating repetitive tasks, driving consistency, increasing visibility and metrics, and reducing friction between development and AppSec teams. An AppSec pipeline provides a reusable and consistent process for security activities to follow through intake, testing, and reporting stages. The goal is to optimize people's time spent on customization and analysis rather than setup and configuration.
Red Hat Forum Benelux 2015
This document discusses OpenShift v3 and how it can help organizations accelerate development at DevOps speed. It provides an overview of Kubernetes and OpenShift's technical architecture, how OpenShift enables continuous delivery and faster cycle times from idea to production. It also summarizes benefits for developers, integrations, administration capabilities, and the OpenShift product roadmap.
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Image Detection and Count Using Open Computer Vision (Opencv)
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Register Here: https://resources.edureka.co/21-days-learning-plan-webinar/
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YouTube Link: https://youtu.be/LSM7hD6GM4M
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YouTube Link:https://youtu.be/ZHNdSKMluI0
Edureka Tableau Certification Training: https://www.edureka.co/tableau-certification-training
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Python Programming Tutorial | Edureka
YouTube Link:https://youtu.be/CVv8zhYEjUE
Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course
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YouTube Link:https://youtu.be/LvgqSMlIXFs
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YouTube Link: https://youtu.be/xHUiYEIcY_I
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Email Notifications in Jenkins | Edureka
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**DevOps Certification Courses - https://www.edureka.co/devops-certification-training **
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EA Algorithm in Machine Learning | Edureka
YouTube Link: https://youtu.be/DIADjJXrgps
** Machine Learning Certification Training: https://www.edureka.co/machine-learning-certification-training **
This Edureka PPT on 'EM Algorithm In Machine Learning' covers the EM algorithm along with the problem of latent variables in maximum likelihood and Gaussian mixture model.
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YouTube Link: https://youtu.be/0djPrlaxx_U
Edureka AWS Architect Certification Training - https://www.edureka.co/aws-certification-training
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Blue Prism Top Interview Questions | Edureka
YouTube Link: https://youtu.be/ykbRdUNIbyQ
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This PPT on Blue Prism Interview Questions will cover the Top 50 Blue Prism related questions asked in your interviews.
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YouTube Link: https://youtu.be/ge4qhkl9uKg
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YouTube Link: https://youtu.be/amlkE0g-YFU
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Check out our playlist for more videos: http://bit.ly/2taym8X
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Kubernetes Installation on Ubuntu | Edureka
YouTube Link: https://youtu.be/UWg3ORRRF60
Kubernetes Certification: https://www.edureka.co/kubernetes-certification
This Edureka PPT will help you set up a Kubernetes cluster having 1 master and 1 node. The detailed step by step instructions is demonstrated in this PPT.
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YouTube Link: https://youtu.be/GJQ36pIYbic
DevOps Training: https://www.edureka.co/devops-certification-training
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This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
A Comprehensive Guide to DeFi Development Services in 2024
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Public CyberSecurity Awareness Presentation 2024.pptx
Cyber security awareness slides for a busisness by TreeTop Security
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
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