LLNL / ADAPT

Adaptive Thresholds for Feature Extraction

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Copyright (c) 2015, Lawrence Livermore National Security, LLC
Produced at the Lawrence Livermore National Laboratory
Written by Peer-Timo Bremer bremer5@llnl.gov
LLNL-CODE-665196
All rights reserved.

This file is part of ADAPT. For details, see
https://github.com/scalability-llnl/ADAPT. Please also read the
additional BSD notice below. Redistribution and use in source and
binary forms, with or without modification, are permitted provided
that the following conditions are met:

- Redistributions of source code must retain the above copyright
   notice, this list of conditions and the disclaimer below.

- Redistributions in binary form must reproduce the above copyright
   notice, this list of conditions and the disclaimer (as noted below) in
   the documentation and/or other materials provided with the
   distribution.

- Neither the name of the LLNS/LLNL nor the names of its contributors
   may be used to endorse or promote products derived from this software
   without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL LAWRENCE
LIVERMORE NATIONAL SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING  IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Additional BSD Notice 

1. This notice is required to be provided under our contract with the
U.S. Department of Energy (DOE). This work was produced at Lawrence
Livermore National Laboratory under Contract No. DE-AC52-07NA27344
with the DOE. 

2. Neither the United States Government nor Lawrence Livermore
National Security, LLC nor any of their employees, makes any warranty,
express or implied, or assumes any liability or responsibility for the
accuracy, completeness, or usefulness of any information, apparatus,
product, or process disclosed, or represents that its use would not
infringe privately-owned rights. 

3. Also, reference herein to any specific commercial products,
process, or services by trade name, trademark, manufacturer or
otherwise does not necessarily constitute or imply its endorsement,
recommendation, or favoring by the United States Government or
Lawrence Livermore National Security, LLC. The views and opinions of
authors expressed herein do not necessarily state or reflect those of
the United States Government or Lawrence Livermore National Security,
LLC, and shall not be used for advertising or product endorsement
purposes.



Compile: 

Create a binary build directory, i.e.

> mkdir build
> cd build

Use CMAKE with version >= 2.8 to create the make files

> cmake <path-to-source> [-DCMAKE_INSTALL_PREFIX=<Destination-path>]

Build the tool

> make install

To run the tests supplied with the distribution 

> adaptive_threshold --i jicf_Q_400x350x200.raw --dim 400 350 200 --o jicf_Q_400x350x200_rel.raw --metric Relevance --threshold 10

and process the resulting file with any available analysis package





About

Adaptive Thresholds for Feature Extraction


Languages

Language:C++ 86.5%Language:CMake 7.0%Language:C 6.5%