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This is an alpha version of the Max-tree toolbox.
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rmsouza01/iamxt
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================================== iamxt: Max-tree Toolbox ================================== BSD 2-Clause License Copyright (c) 2016, Roberto Souza and collaborators All rights reserved. **Important update** ————————————————————— A simpler version of iamxt is now available at: https://github.com/rmsouza01/siamxt We recommend using it. It has the same syntax and the same features as iamxt (except for the drawing functions). Its main advantage is that it is much simpler to install. It only depends on NumPy. Also, it has a docker available: https://hub.docker.com/r/marianapbento/siamxt-1.0/ Description ----------- This is an alpha version of the Max-tree toolbox. The toolbox was implemented in Python and the critical functions were implemented in C++ with the parallel loops optimized using OpenMP and wrapped in Python using SWIG. We have a different max-tree structure that is more suitable for array processing, and allows a fast development of new methods with a reasonable processing time. Our main goal in providing this toolbox is to spread the max-tree data structure further among the scientific community, investigate it further, and develop new tools that may be applied to solve real signal, image processing, and pattern recognition problems. This toolbox works for both 2D and 3D images of type uint8 and uint16. Authors --------- Roberto Souza - roberto.medeiros.souza@gmail.com Letícia Rittner - lrittner@gmail.com Rubens Machado - rubens.campos.machado@gmail.com Roberto Lotufo - robertoalotufo@gmail.com Requirements ------------ This toolbox requires OpenMP, SWIG, OpenCV, NumPy, gvgen, and dot for rendering graphs. In fact, you only need gvgen and dot if you intend to draw graphs. Documentation ------------- The documentation of this toolbox is available at: http://adessowiki.fee.unicamp.br/adesso/wiki/iamxt/view/ Install ------- Download the zip file, unzip it, go to the toolbox folder and type on terminal: sudo python setup.py install Observations --------------- This is the first time that I try to wrap some code for distribution, therefore you'll proabably need to make a few modifications on the drawing functions to have it working on your machine, specially if you are not using Linux (ubuntu). If you have experience in making distributions and you have tips on how to make them more portable, I'll gladly listen to them! Contact --------- If you have any doubts, questions or suggestions to improve this toolbox, please contact me at: roberto.medeiros.souza@gmail.com
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