Ai powered images-fullstackporto

Doug Sillars gave a presentation on using AI to optimize images for the web. He discussed how images dominate web content and common shortcuts used in image preparation like screenshots that can reduce quality. Sillars demonstrated how object detection can be used for automatic cropping, blurring, removal and alt text generation. He also showed how to train custom models for tasks like detecting sunglasses and applying filters. Throughout the talk, Sillars provided examples of optimizing images with AI and ML to simplify and improve image preparation for web delivery.

Doug Sillars discusses using AI and machine learning to simplify image preparation for the web. He covers using object detection models to automatically crop images, blur private objects, and generate alt text. Sillars also demonstrates training custom models, such as one to add sunglasses to faces. With AI, tasks like removing backgrounds, making transparent overlays, and combining elements can be automated to save time in image editing workflows.

Save 10% off ANY FITC event with discount code 'slideshare' See our upcoming events at www.fitc.ca OVERVIEW As most Android developers know, dealing with the extreme degree of fragmentation in the Android ecosystem is often challenging. Among the more difficult challenges is managing memory usage, as devices that are in the market today can have as little as 13MB of memory. Now imagine the pains that developers go through when faced with the headache of having massive bitmaps eat up memory in a millisecond. In this presentation, James Halpern will talk about the complexities of image and memory management in Android and walk you through the creation of a successful, powerful and open source image management utility. Come to this presentation to learn about techniques that will help you optimize the performance of your apps. Learn about Android’s memory limitations and the role the garbage collector plays in your app’s performance and complexity. Learn how to communicate android graphics issues to developers, and how good design can create fewer bugs. James will conclude this presentation by briefly walking you through his open sourced image management solution that gracefully handles most of these issues in a simple to use package.

This document discusses implementing deep learning on iOS using various frameworks. It provides an overview of Metal Performance Shaders (MPSCNN), Accelerate (BNNS), Core ML, and Vision. It then details the 3 step process to implement a deep learning model with MPSCNN: 1) create the model, 2) implement the network, and 3) perform inference. Examples of logo detection and increased performance are shown. Core ML and Vision provide easier implementations compared to needing Metal knowledge for MPSCNN. BNNS may be better for small networks due to reduced CPU-GPU communication costs.

This document summarizes an Android design course presented by Yonatan Levin. It discusses: 1. The history and goals of the course, which aims to teach designers and developers how to better integrate and communicate through hands-on lessons and a hackathon. 2. Logistics of the course including its schedule over multiple sessions and expectations for watching online videos between lessons. 3. Key technical concepts in Android design like using density-independent pixels (dp) to account for different screen densities, providing multiple versions of assets, and naming conventions.

The document discusses 3D scanning tools and techniques. It provides examples of 3D scanning being used to create visualizations from scanned data, like for the Radiohead "House of Cards" music video. Both expensive commercial scanners and cheaper DIY options are presented, including scanner apps that use devices like iPhone cameras and the Microsoft Kinect. The document outlines the basic workflow for 123D Catch, a free photogrammetry software. It encourages exploring the creative uses of scanned data, like 3D printing crowd sculptures.

In ELMS:LN we get into some weird stuff. It's just what we do. Well, the core team decided to put them together into a talk. This is that talk.

What's Xamarin.Android? This deck will allow you to get started fast at building C# apps with it :)

Use Free iOS App and Open Source Software to convert real-world objects to 3D houses in Perfume World website.

For more information about developing Android application for the MOTOROLA XOOM go to http://developer.motorola.com

The document provides an overview of a presentation about Google Cloud developer tools and an easier path to machine learning. It introduces the speaker and their background and experience. It then outlines the agenda which includes introductions to machine learning and Google Cloud, Google APIs, Cloud ML APIs, and other APIs to consider. It provides examples of using various Cloud ML APIs like Vision, Natural Language, and Speech for tasks like image labeling, text analysis, and speech recognition. The goal is to demonstrate how APIs powered by machine learning can help ease the burden of learning machine learning by allowing users to leverage pre-built models if they can call APIs.

A design talk geared towards designers who are new to the world of web design. I’ll cover items such as: how web design is unique from other kinds of design (such as print), how to leverage research and analytics to create data informed designs, steps to become a proficient web designer and how to choose and work with developers. If there are folks in the room using Illustrator or PSD, I'll show you how to set up Illustrator files for web design and prep files for a developer.

想用最短的時間內，透過實做，體驗 APP 的開發流程，學習最重要的基本概念嗎？【打造你的第一個iPhone APP】課程，以淺顯易懂的 storyboard 工具，教你打造小王子電子故事書 APP ，讓你第一次寫 APP 就輕鬆上手！由暢銷電腦書《 Swift程式設計入門》作者彼得潘帶領，不管你是想要和工程師溝通的更順暢的 PM、設計，或是想接觸 iOS 開發的新手，由老師親自帶著你，一步一步實際操作，幫助你更快進入iOS的世界！

Sahil Verma submitted an internship training report on Python facial emotion detection. The report introduced Freecodecamp, the internship platform, and discussed using convolutional neural networks and libraries like OpenCV, DeepFace and HaarCascade to detect faces in video streams and identify emotions by comparing faces to a training dataset. However, when testing the live emotion detection, the program crashed and was unable to handle changes in facial expressions in real-time as required for the intended demonstration. While the concepts and integration of libraries worked as expected on stored images, live video processing posed challenges that prevented a successful demonstration.

The Android L Developer Preview introduced a plethora of new APIs for developers to take advantage of, including Material Design, notifications, and new animations, to name a few. Xamarin developers can access these new APIs right now with our recently announced preliminary support in Xamarin.Android. With Google expected to release Android L fully this fall, it will be increasingly important to take advantage of these new APIs and get your app up-to-date. In the slides from our Android L and So Much More webinar on Tuesday, September 16th, Developer Evangelist James Montemagno walks through the top new and updated APIs in the release. In addition to everything new in the Android L Developer Preview, he also covers everything new in the Google Play Services, Support Libraries, Android Wear, and Android TV SDKs.

Titanium Mobile allows developers to build native mobile apps using JavaScript. It works by compiling JavaScript code into the native platform's code (Java for Android, Objective-C for iOS). This allows apps built with Titanium to have access to native device APIs and feel and function like a true native app while using a common JavaScript codebase. Titanium Studio is the IDE used for Titanium development and provides features like code completion, debugging, and building for release. Projects have a standard structure with resources, modules, and code files organized into platform-specific folders. Internationalization is supported by creating language-specific string files.

This presentation was originally presented at Drupal Camp Toronto, 2012. To view the video cast of this presentation visit http://fosterinteractive.com/blog/responsive-design-case-study -----DESCRIPTION----- responsivedesign.ca was launched in February of 2012, and it was well received. It was our first mobile-first responsive site. We built it quickly and knew it wasn’t perfect, but the game plan was to launch early and incrementally improve the site over time. It’s not even a year later we use whole new workflows, creative design methods, modules, and development tools in our responsive websites. This talk will highlight how we created the original project and what we’ve since learned regarding workflow and development including: Responsive Images Modules Creative Concept Development Device vs. Natural Breakpoints SASS / Compass + Mixins we use Dealing with IE Benchmarking ----- Originally Presented at Drupal Camp Toronto 2012 ----- http://2012.drupalcamptoronto.org/sessions/a-responsive-design-case-study-what-we-did-wrong-building-responsivedesignca-and-how-we-fix

This document discusses optimizing images for fast delivery on mobile websites. It outlines four simple image optimizations: quality, format, sizing, and lazy loading. For each optimization, it provides examples and data on current usage. Quality recommends compressing to 85% without significant quality loss. Format suggests using webp and svg where supported. Sizing involves generating responsive images at appropriate breakpoints. Lazy loading delays image loading to above the fold content. Together, these techniques can significantly improve performance without compromising quality.

The document discusses optimizing images for fast loading on mobile websites. It provides 4 simple optimizations: 1) reducing image quality, 2) using optimized formats like WebP and SVG, 3) proper sizing of images for different screen sizes, and 4) lazy loading images that are not immediately visible. The document shows how these techniques can significantly reduce image file sizes and page load times based on analyzing millions of mobile sites. It also discusses alternatives to animated GIFs like using video formats and preview images to improve performance.

This document discusses optimizing images for fast loading on mobile devices. It recommends four simple image optimizations: 1) reducing image quality to 85%, 2) using efficient formats like WebP and SVG, 3) sizing images appropriately for the viewport, and 4) lazy loading images below the fold. Data from the HTTP Archive is presented showing the prevalence and impact of these optimizations. Specific techniques like responsive images and image processing tools are also outlined.

This document provides tips for optimizing images for fast loading on mobile websites. It discusses 4 key optimizations: image quality, format, sizing, and lazy loading. For quality, it recommends reducing to 85% quality, which can significantly reduce file sizes with little quality loss. For format, it promotes webp and svg over jpeg and png. For sizing, it stresses responsive images at different breakpoints to reduce file sizes. And for lazy loading, it shows how delaying non-critical image loads can improve performance. Measurements are given for how widely these techniques have been adopted and the potential savings in load times and data usage. Tools are also listed for implementing the various optimizations.

Doug Sillars presented techniques for optimizing image performance on mobile websites. He discussed 4 key optimizations: 1) reducing image quality to 85%, 2) using efficient formats like WebP and SVG, 3) sizing images responsively, and 4) lazy loading images below the fold. Testing of millions of sites showed these techniques can reduce page load times by up to 15 seconds and data usage by up to 2.4 MB. Sillars recommended tools like ImageMagick, responsive breakpoints generator, and Cloudinary to help automate image optimizations.

This document provides best practices for optimizing video delivery and streaming on the web. It discusses how video files are large and can negatively impact page load times and user data plans. Some key recommendations include resizing videos appropriately for different screens, avoiding downloading hidden or unnecessary videos, using video streaming with a low starting bitrate for faster startup times, stripping audio from silent videos, and auditing third party video hosts for performance issues. The document emphasizes optimizing video delivery to respect mobile users' limited data plans.

The document discusses optimizing video delivery for performance and reducing data usage. It provides examples of HTML code to embed video on a webpage and control playback behavior. It also summarizes techniques for resizing and encoding videos to different formats and bitrates to reduce file sizes while maintaining quality, such as using services like Cloudinary. Optimizing factors like video size, bitrate, and delivery method can help videos start faster and reduce stalling to improve the user experience.

The document discusses building augmented reality (AR) and virtual reality (VR) experiences in the browser. It demonstrates how to create a VR art gallery using A-Frame, optimize images and 3D models for AR/VR, and add AR functionality using AR.js markers. It also covers upcoming AR capabilities using WebXR, such as hit testing. Optimizations like resizing images, format and quality adjustments, cropping, and Draco compression are recommended to reduce file sizes and loading times. The talk concludes with resources for setting up a sample AR art gallery project and suggestions for art assets to include.

The document discusses building augmented reality (AR) and virtual reality (VR) experiences in the browser. It begins with an overview of what can currently be done with AR and VR using the A-Frame framework, including examples of building VR art galleries and scenes. It then covers adding AR capabilities using AR.js by placing 3D objects with markers. The document emphasizes optimizations needed for AR and VR like reducing file sizes and optimizing image quality and format. It also discusses the potential for building AR experiences using the emerging WebXR standard. Throughout it provides links to code samples and resources.

This document provides tips for optimizing images on websites to deliver fast loading speeds while maintaining image quality. It discusses optimizing image quality, format, sizing through responsive images, and lazy loading images below the fold. Key recommendations include using JPEG format at 85% quality, responsive images through picture tags, and lazy loading images to improve page load times and reduce data usage. Tools mentioned for optimizing images include ImageMagick, SSIM, LazySizes, and Cloudinary.

This document summarizes a presentation about building augmented reality (AR) and virtual reality (VR) experiences in the browser. It discusses using the A-Frame framework to create VR galleries and scenes that can be viewed today. It also covers adding AR capabilities using AR.js by placing 3D objects using markers. The presentation provides examples of optimizing assets for AR/VR experiences, such as resizing images, compressing formats, and using services like Cloudinary. Upcoming capabilities discussed include AR hit testing using the WebXR Device API in Chrome Canary. The document aims to demonstrate that AR does not need to be processor intensive or rely on large amounts of data.

The document discusses optimizing images for fast loading on mobile websites. It outlines 4 simple image optimizations: 1) reducing image quality, 2) using optimized file formats like WebP and JPEG, 3) sizing images appropriately for the viewport, and 4) lazy loading images below the fold. The document provides examples of how each technique can significantly reduce image file sizes and page load times. Testing of real-world websites shows widespread room for improvement in mobile image optimization.

This document summarizes Doug Sillars' presentation on building augmented reality experiences in the browser. Sillars discusses using A-Frame to create VR galleries that can be viewed today in the browser. He then explains how to add AR functionality using AR.js by placing 3D objects with markers. Sillars also covers optimizing assets for AR/VR experiences by reducing file sizes and formats. Finally, he demonstrates early AR capabilities with WebXR by hitting 3D objects in a gallery on mobile.

The document discusses optimizing images for fast loading on mobile websites. It recommends four simple image optimizations: 1) reducing image quality to 85%, 2) using optimized formats like JPEG, WebP and SVG, 3) sizing images appropriately for the viewport, and 4) lazy loading images below the fold. Implementing these techniques can significantly reduce data usage and speed up page load times. The document also provides examples and tools for implementing each optimization technique.

The document discusses building augmented reality (AR) and virtual reality (VR) experiences in the browser. It introduces AR.js and A-Frame for creating AR and VR using web technologies. Examples are provided of building a VR art gallery in A-Frame and adding AR functionality using AR.js and marker-based tracking. Optimization techniques for images, 3D models, and video are covered to improve performance for AR and VR. Upcoming capabilities for AR in WebXR are previewed. The document aims to demonstrate what can be done with AR and VR today in the browser and highlights areas that will continue advancing.

This document discusses building augmented reality (AR) and virtual reality (VR) experiences in the browser. It begins with an overview of VR using the A-Frame framework to build 3D scenes and galleries. It then covers adding AR functionality using AR.js markers to place 3D objects. The document outlines various optimizations needed for media in AR/VR like reducing file sizes and formats. It also introduces using the WebXR API for AR hit testing. Throughout examples of building an AR art gallery are provided. The document concludes that AR on the web is available today and continues to improve with new APIs and optimizations.

The document provides an overview of optimisations that can be made to apps to improve performance and speed. It discusses how fast is perceived by humans, benchmarking current performance, optimising images through resizing, formatting and lazy loading, reducing payload sizes through caching and content delivery, and replacing animated GIFs with optimized video formats. The document contains tips and examples for profiling apps and making optimizations to deliver content quickly.

The document discusses building augmented reality (AR) and virtual reality (VR) experiences in the browser. It demonstrates how to create VR galleries and add art using the A-Frame framework. It also shows how to build AR experiences using AR.js that place 3D objects using markers. The document emphasizes optimizations needed for AR/VR like reducing file sizes and formats of images. It highlights upcoming capabilities like AR hit testing using WebXR. In conclusion, the document demonstrates that AR on the web is available today and does not need to be processor intensive or use large amounts of data.

1. Video files are large and consuming more mobile data. Streaming video helps reduce this by only downloading segments as needed. 2. Best practices for video include resizing files appropriately for screens, avoiding downloading hidden or duplicate videos, stripping audio from silent videos, and starting streaming at lower bitrates for faster startup. 3. Video players are not responsive by default, so using the correct attributes can optimize streaming and respect users' data plans. Third party video hosts also need performance auditing.

Doug Sillars discusses optimizing image performance on websites. He outlines 4 simple optimizations: 1) reducing image quality, 2) using optimized formats like WebP and SVG, 3) sizing images appropriately, and 4) lazy loading images below the fold. Properly implementing these techniques can significantly improve page load times and reduce data usage. Sillars also provides tips on monitoring image usage in the wild and considerations for different network conditions and user expectations.

Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states. In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing. Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.

The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.

As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models. This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. We’ll walk through: - Standard ways of running dbt (and when to utilize other methods) - How Cosmos can be used to run and visualize your dbt projects in Airflow - Common challenges and how to address them, including performance, dependency conflicts, and more - How running dbt projects in Airflow helps with cost optimization Webinar given on 9 July 2024

Password Rotation in 2024 is still Relevant

Recent advancements in the NIST-JARVIS infrastructure: JARVIS-Overview, JARVIS-DFT, AtomGPT, ALIGNN, JARVIS-Leaderboard

This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.

accommodate the strengths, weaknesses, threats and opportunities of autonomous vehicles

Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data. The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs. Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution! Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.

MuleSoft Meetup on APM and IDP

Everything that I found interesting last month about the irresponsible use of machine intelligence

The integration of programming into civil engineering is transforming the industry. We can design complex infrastructure projects and analyse large datasets. Imagine revolutionizing the way we build our cities and infrastructure, all by the power of coding. Programming skills are no longer just a bonus—they’re a game changer in this era. Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.

Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023 https://arxiv.org/abs/2307.12980

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If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights. During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to: - Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value - Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems - Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors - Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported - Look Ahead: Gain insights into where FME is headed with coordinate systems in the future Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!

This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.

In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.

This is a powerpoint that features Microsoft Teams Devices and everything that is new including updates to its software and devices for May 2024

The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries: 1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes. 2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions. 3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines. 4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors. 5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering. 6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands. 7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems. 8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering. 9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively. Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.

Support en anglais diffusé lors de l'événement 100% IA organisé dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 : - Présentation de notre plateforme IA plug and play : ses fonctionnalités avancées, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants. - REX client : Cyril Janssens, CTO d’ easybourse, partage son expérience d’utilisation de notre plateforme IA plug & play.

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