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File Date Author Commit
 docs 2016-10-18 Igor dos Santos Montagner (PhD | hirata) Igor dos Santos Montagner (PhD | hirata) [238311] Code examples in the documentation.
 site 2015-06-02 Igor Montagner Igor Montagner [d0251d] Site update.
 test 2017-07-31 Igor Montagner Igor Montagner [2f1910] fix wrong imports
 tools 2017-07-20 Igor Montagner Igor Montagner [0f444b] Add tool to convert saved operators to new modu...
 trios 2017-07-31 Igor Montagner Igor Montagner [a33497] Add accuracy and negative predictive value to ...
 .gitignore 2016-04-29 Igor Montagner Igor Montagner [8774e3] Repo organization.
 .gitmodules 2015-06-02 Igor Montagner Igor Montagner [1830a3] Site update
 AUTHORS 2017-05-18 igor igor [106ec2] LICENSE and AUTHORS files.
 LICENSE 2017-05-18 igor igor [106ec2] LICENSE and AUTHORS files.
 MANIFEST.in 2016-10-02 IGor IGor [c1ac18] Fixes for PYPI.
 README.md 2017-05-18 igor igor [07a183] README with simple message about TRIOS and docs.
 requirements.txt 2017-04-06 Igor Igor [5675dd] Change Nystrom to a Numba based version.
 setup.py 2017-07-31 Igor Montagner Igor Montagner [eb3ca1] fix path in setup.py

Read Me

TRIOSlib

TRIOSlib is a library that contains implementations of state-of-the-art methods in Image Operator Learning. It has been used, in its many incarnations, in many research papers over the last 15 years. The current version (2.0) has had many parts rewritten and was redesigned to be flexible and to allow users to combine and extend each of its parts.

TRIOSlib can be installed using pip and the conda package/virtual environment manager.

Documentation: http://trioslib.sourceforge.net/