ITK
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ITK | website | |
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7 | 35 | |
1,337 | 269 | |
1.6% | 0.4% | |
9.8 | 7.5 | |
about 9 hours ago | 10 days ago | |
C++ | CSS | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ITK
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Create Elegant C++ Spatial Processing Pipelines in WebAssembly
The itkImage.h header is ITK's standard n-dimensional image data structure.
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Welcome and guide first-time contributors with a GitHub Action
In this post, we review how the Insight Toolkit (ITK) leverages the first-interaction GitHub Action to communicate our appreciation of the efforts of first-time contributors, establish norms for behavior, and provide civil pointers on where to find more information.
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How to raise the quality of scientific Jupyter notebooks
Jupyter has emerged as a fundamental component in artificial intelligence (AI) solution development and scientific inquiry. Jupyter notebooks are prevelant in modern education, commercial applications, and academic research. The Insight Toolkit (ITK) is an open source, cross-platform toolkit for N-dimensional processing, segmentation, and registration used to obtain quantitative insights from medical, biomicroscopy, material science, and geoscience images. The ITK community highly values scientific reproducibility and software sustainability. As a result, advanced computational methods in the toolkit have a dramatically larger impact because they can be reproducibly applied in derived research or commercial applications.
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Holy shit, it really seems to be working!
It also depends heavily on the toolchain. One of the first successful toolkits used to circumvent image-based security measures was ITK, originally a toolkit for medical image processing. That's not even using AI (at least back then). Here you build "piplines" by lego'ing together functions like building blocks, there are rules to it, but the sleek interface design make it very versatile. It was a nightmare to devise ways to counteract, since the crucial processing steps could easily be switched around as long as the linear algebra made sense. And when you have a toolchain excelling in fourier-space based analysis and interaction, the linear algebra makes sense in a lot of different orders of doing steps.
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Ask HN: What is a cool technology to learn?
Yeah, Prolog is pretty cool!
Another technology I found interesting too learn is ITK (https://itk.org/). You need a different mindset using ITK than other image processing libraries.
Lisp is cool as well.
And fully homomorphic encryption.
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Give me a starting nudge: microscopy image processing in python
VTK is a powerful visualization package, but it's more for working with 3D FEM/CFD data. There are lots of things in there though, so it may be useful. The sister project Paraview is an application which can be used to work with data interactively. Both have great Python support. There is also ITK which is focused on with image data, like medical scans - never used it, though.
website
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WASM Instructions
Also note that that webpage can be somewhat out of date; for instance, see here for some recent edits to it (e.g. features Node had implemented that were marked as unavailable): https://github.com/WebAssembly/website/commits/main/
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Revisiting WASM for F#
I would also say that IF blazor worked on a browser plugin like silverlight did, today that's not the case it is built on the webassembly standard which and it is being adopted in the browsers which means once it gets on the web, it is unlikely to ever go out again. Even if Microsoft themselves leave Blazor today, it can still work, the burden of creating a fork and keeping blazor alive will certainly be big but someone will be able to do that, just like the open silver folks revived silverlight via wasm tech without any particular Microsoft involvement.
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Introducing Persisted Copilot Chats - Integrated AI Across your Workflow
Moreover, Tsavo and Rutvik also highlighted some ongoing and upcoming improvements in Dart, such as the isomorphic capability, compiling to WebAssembly, and how it has allowed us to communicate with JavaScript code effectively.
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Cloudflare Workers using Go
WebAssemblyOpen external link (abbreviated as “Wasm”) is a binary format that many languages can be compiled to. This allows you to write Workers using programming language beyond JavaScript, such as Rust, C, C++, Go and more.
- BunJS : La star montante du monde JavaScript
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Server side Javascript in WebAssembly
In this post, we'll write a server-side Javascript function and then build it into a WebAssembly binary using the open source Spin tool. Our code will be less than a dozen lines long in total, so this is a concise introduction to WebAssembly and serverless functions that won't require you to spend a lot of time figuring out a code sample.
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WebAssembly with Go: Taking Web Apps to the Next Level
You might've noticed the increasing chatter around WebAssembly (WASM) in the dev community. Its potential is vast, and we've found it invaluable in enhancing our open source project!
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WebAssembly: Building GUI for C++ libraries with Embind
WebAssembly.org: nice collection of resouces.
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WASM: Big Deal or Little Deal?
It's a meh deal.
They should've stuck with "this is crossplatform bytecode for the web", and it would've flourished there. Instead, now it's "designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications." [1]
Servers! Applications! Tigers! Lions! Oh my!
And it's not particularly good, or effective, or performant at any of those.
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The state of modern Web development and perspectives on improvements
Today, the idea of optional code-on-demand execution in Web sites, in most cases, is violated. W3C introduced Web Components to extend HTML tags but made it entirely dependable on JavaScript. All modern Client-Side libraries, like React.JS, Angular, Vue.JS, are built with JavaScript. Sun Microsystems introduced Java Applets based on JVM. Adobe presented Macromedia Flash with a browser extension. Microsft made it possible to run reduced .NET applications in a browser with the Silverlight extension and recently introduced Blazor, which compiles C# code to WebAssembly and executes it on the client side.
What are some alternatives?
OpenCV - Open Source Computer Vision Library
leptos - Build fast web applications with Rust.
VTK - Mirror of Visualization Toolkit repository
itk-wasm - High performance spatial analysis in a web browser, Node.js, and across programming languages and hardware architectures
GDCM - Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm
emsdk - Emscripten SDK
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
CLI11 - CLI11 is a command line parser for C++11 and beyond that provides a rich feature set with a simple and intuitive interface.
CImg - The CImg Library is a small and open-source C++ toolkit for image processing
wordpress-playground - Run WordPress in the browser via WebAssembly PHP
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
Vcpkg - C++ Library Manager for Windows, Linux, and MacOS