OAD
ITK
OAD | ITK | |
---|---|---|
1 | 7 | |
118 | 1,342 | |
1.7% | 0.5% | |
6.1 | 9.8 | |
15 days ago | 1 day ago | |
Jupyter Notebook | C++ | |
GNU General Public License v3.0 only | 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.
OAD
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Anyone know of any microscope that has an API that I can buy. Or in other words, one that I can programmatically control via coding?
All motorised microscopes can be controlled by the software provided/sold by the manufacturer (eg ZEN for ZEISS, NIS for Nikon, LAS for Leica etc). ZEISS also offers interfaces to control the microscope using your own code (eg in Python or MATLAB): https://github.com/zeiss-microscopy/OAD
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.
What are some alternatives?
VevestaX - 2 Lines of code to track ML experiments + EDA + check into Github
OpenCV - Open Source Computer Vision Library
oemer - End-to-end Optical Music Recognition (OMR) system. Transcribe phone-taken music sheet image into MusicXML, which can be edited and converted to MIDI.
VTK - Mirror of Visualization Toolkit repository
PUMA - 3D Printed Microscope
GDCM - Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm
BioImager - A .NET microscopy imaging application based on Bio library. Supports various microscopes by using imported libraries & GUI automation. Supports XInput game controllers to move stage, take images, run ImageJ macros on images or Bio C# scripts.
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
CImg - The CImg Library is a small and open-source C++ toolkit for image processing
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
libvips - A fast image processing library with low memory needs.
VIGRA - a generic C++ library for image analysis