GnuPlot might be a bit more popular than ITK. We know about 5 links to it since March 2021 and only 4 links to ITK. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The itkImage.h header is ITK's standard n-dimensional image data structure. - Source: dev.to / over 1 year ago
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. - Source: dev.to / over 1 year ago
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,... - Source: dev.to / over 1 year ago
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... Source: almost 2 years ago
To some extent it extends the concept of tasks which only can be reasonably executed after the completion of other ones (though results of branches eventually may join each other) and offers an additional assisting birds' eye visual of projects. So far, I'm aware about the documentation on worg interfacing org-taskjuggler and taskjuggler, as well as a video tutorial interfacing gnuplot instead. Source: about 1 year ago
Gnuplot is a program to plot diagrams. The Commands issued to use it don't change regardless if it is used in Linux/Windows/MacOS and it comes with less dependencies than a Spread sheet, or a statistics program. This is why I started to Become comfortable with it, and venture out some of its features. Here, "conditional plot" referred to "the diagram only displays a Thing/uses a pixel if the value in the table... Source: about 1 year ago
Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)? Source: about 1 year ago
There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, ...) exported as an illustration in the usual formats (.pdf/.png), or... Source: over 1 year ago
Have you looked at the graphing capabilities of Octave or Gnuplot? Gnuplot in particular has a lot of options, and a GUI for those who want it. Source: over 1 year ago
OpenCV - OpenCV is the world's biggest computer vision library
Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
Mahotas - Mahotas is a computer vision and image processing library for Python.
GeoGebra - GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching.
SciPy - SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.