ITK
starter-workflows
ITK | starter-workflows | |
---|---|---|
7 | 262 | |
1,342 | 8,449 | |
0.7% | 1.2% | |
9.8 | 8.6 | |
2 days ago | about 19 hours ago | |
C++ | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
starter-workflows
- Say Goodbye to Manual Deployments: Automate Your EC2 Autoscaling with CodeDeploy and GitHub Actions
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Level Up Your Projects with GitHub Actions & CI/CD
GitHub, as one of the leading web-based Git repository hosting service, provides a powerful suite of CI/CD tools in the form of GitHub Actions. These are directly integrated into the platform which empowers developers to increase the speed, efficiency and reliability of delivering products. In this brief article, we will take a look at what CI/CD is, why we should use it, as well as some of its applications in my projects.
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How to Manage Terraform with GitHub Actions
GitHub Actions is a modern CI/CD tool integrated natively on GitHub. Itenables the rapid automation of build, test, deployment, and other custom workflows on GitHub with no need for external tools.
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Kubernetes CI/CD Pipelines
GitHub Actions is GitHub's CI/CD solution. You can use it to run automated tasks each time you change your code. Although the platform lacks a built-in Kubernetes integration, third-party plugins such as Azure's Deploy to Kubernetes Cluster action can automate deployments and manage different rollout strategies.
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Most Useful CI/CD Tools for DevOps
GitHub Actions is a feature-rich CI/CD platform embedded within GitHub, enabling developers to automate, customize, and execute software development workflows directly in their repositories. An Action inside GitHub Actions is a discrete unit of automation that performs a specific task within a workflow. All the Actions are reusable, and there are many to choose from. You can even create your own reusable ones.
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Awesome GitHub Action Workflows
actions/starter-workflows
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Laravel code-quality tools
The real power of using PHP code-quality tools is when it’s added to your continuous integration process, which means it automatically checks the code every time someone makes a push or pull request to your project repo. In this section, we'll be looking at how to do just that. GitHub actions is available for free so we'll use it for demo purposes. Note that there are some limits to private repos, so set your test repo to public if you can.
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Elevate Your GitHub README Game
You can even automate the running of this script — hence the directory name automation — to happen every time the data changes, using GitHub Actions.
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GitHub Status Checks and Branch Protection Made Easy
# Based on https://github.com/actions/starter-workflows/blob/main/ci/node.js.yml name: CI on: pull_request: branches: - main jobs: ci: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - uses: actions/setup-node@v2 with: node-version: lts/* cache: 'npm' - run: npm ci - run: npm run build --if-present - run: npm test
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GitHub Actions for Perl Development
You might remember that I’ve been taking an interest in GitHub Actions for the last year or so (I even wrote a book on the subject). And at the Perl Conference in Toronto last summer I gave a talk called “GitHub Actions for Perl Development” (here are the slides and the video).
What are some alternatives?
OpenCV - Open Source Computer Vision Library
argocd-image-updater - Automatic container image update for Argo CD
VTK - Mirror of Visualization Toolkit repository
CppCon2020 - Slides and other materials from CppCon 2020
GDCM - Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm
NewPipe - A libre lightweight streaming front-end for Android.
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
react-native-dotenv - Load react native environment variables using import statements for multiple env files.
CImg - The CImg Library is a small and open-source C++ toolkit for image processing
nnn - n³ The unorthodox terminal file manager
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
Real_Time_Image_Animation - The Project is real time application in opencv using first order model