ITK
itk-wasm
Our great sponsors
ITK | itk-wasm | |
---|---|---|
7 | 5 | |
1,339 | 177 | |
1.7% | 2.8% | |
9.8 | 9.8 | |
about 23 hours ago | 5 days ago | |
C++ | Python | |
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.
itk-wasm
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How to Debug WebAssembly Pipelines in Your Web Browser
This is an example to demonstrate browser-based debugging of C++-generated WebAssembly. For more information, please see the target="_blank" href="https://wasm.itk.org/examples/debugging.html">associated documentation.
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How to Debug WASI Pipelines with ITK-Wasm
Effective debugging results in effective programming; itk-wasm makes effective debugging of WebAssembly possible. In this tutorial, adapted from the itk-wasm documentation, we walk through how to debug a C++ data processing pipeline with the mature, native binary debugging tools that are comfortable for developers. This is a fully featured way to ensure the base correctness of a processing pipeline. Next, we will walk through an interactive debugging experience for WASI WebAssembly. With itk-wasm, we can debug the same source code in either context with an interactive debugger. We also have a convenvient way to pass data from our local filesystem into a WebAssembly (Wasm) processing pipeline.
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Create Elegant C++ Spatial Processing Pipelines in WebAssembly
In this post, adapted from itk-wasm's documentation, we provide a C++ Wasm processing pipeline tutorial that demonstrates how we can write elegant processing pipelines in C++ via itk-wasm's CLI11 command line parser, which provides a rich feature set with a simple and intuitive interface. At the end of this tutorial, you will have built and executed C++ code to Wasm for standalone execution on the command line and in the browser.
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Hello Wasm World!
While we recommend following along step-by-step, the complete example can also be found in the examples/ directory of the project repository.
What are some alternatives?
OpenCV - Open Source Computer Vision Library
AlvaAR - World tracking for WebAR. A Javascript library for Augmented Reality to run SLAM in the browser.
VTK - Mirror of Visualization Toolkit repository
website - WebAssembly website
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)
dockcross - Cross compiling toolchains in Docker images
CImg - The CImg Library is a small and open-source C++ toolkit for image processing
wasi-sdk - WASI-enabled WebAssembly C/C++ toolchain
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
lldb-mi - LLDB's machine interface driver