The next-generation stereo processing pipeline for sea waves 3D reconstruction.
Project description
WASSfast is the next-generation stereo processing pipeline for sea waves 3D reconstruction. It exploits the linear dispertion relation and sparse feature triangulation to resolve sea-surface elevation in quasi real-time. At present state, WASSfast can work in two operating modes:
-
Predict-Update (PU) mode. See the paper
-
Convolutional Neural Network (CNN) mode (suggested). See the paper
For the standard pipeline see http://www.dais.unive.it/wass
Note Due to TensorFlow version incompatibilities, WASSfast installed via Pypi supports CNN mode only.
How to use it
Install via pip:
python -m pip install wassfast
and run wassfast --help
for a brief description of the command-line options.
Try it with test data
- Download the test data
- Extract the test data
7z x wassfast_testdata_256.7z
. This will create a directory namedwassfast_testdata_256
- Enter the newly extracted directory:
cd wassfast_testdata_256
- Execute WASSfast:
wassfast ./input ./config256.mat ./config ./settings.cfg RLTB CNN --batchsize 16 -n 49 -r 15.0 -o output.nc
After the processing, the NetCDF file output.nc
is produced. Use Panoply to inspect the reconstructed surface.
Acknowledgements
The study was partially supported by the project of Construction of Ocean Research Stations and their Application Studies funded by the Ministry of Oceans and Fisheries, Republic of Korea.
License
Copyright (C) 2020-2023 Filippo Bergamasco
WASSfast is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
WASSfast is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
Project details
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