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banesullivan
banesullivan commented Jul 26, 2019

Feature request: allow passing custom made Matplotlib colormaps

import matplotlib.pyplot as plt
cmap = plt.cm.get_cmap("viridis", 5)

then pass that colormap to the Viewer

(the goal isn't necessarily catecorical colormaps... this is just a simple example. A user might want to make a custom normalized map that are far more complex)

Here, we will be showcasing our seminar series “CPP for Image Processing and Machine Learning” including presentations and code examples. There are image processing and machine learning libraries out there which use C++ as a base and have become industry standards (ITK for medical imaging, OpenCV for computer vision and machine learning, Eigen for linear algebra, Shogun for machine learning). The documentation provided with these packages, though extensive, assume a certain level of experience with C++. Our tutorials are intended for those people who have basic understanding of medical image processing and machine learning but who are just starting to get their toes wet with C++ (and possibly have prior experience with Python or MATLAB). Here we will be focusing on how someone with a good theoretical background in image processing and machine learning can quickly prototype algorithms using CPP and extend them to create meaningful software packages.

  • Updated May 30, 2020
  • C++
jhlegarreta
jhlegarreta commented Feb 18, 2017

Whenever a paper is mentioned, including the corresponding reference (i.e. full bibliography cite and/or link) would be nice.
See for example, the block
* \brief Wavelet based on paper VOW: Variance-Optimal Wavelets for Steerable Pyramid (P.Pad et al 2014).
in itkVowIsotropicWavelet.h.

On the other hand, formulas must follow Doxygen rules [1]. There are a few examples in ITK, such as

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