This is a application developed to process full spectrum .wav files using on machine learning techniques developed by the North American Bat Monitoring Program
- Python 3.7
- TensorFlow 2.4
- Librosa 0.8
-
brew install xz, pyenv env \ PATH="$(brew --prefix tcl-tk)/bin:$PATH" LDFLAGS="-L$(brew --prefix tcl-tk)/lib" CPPFLAGS="-I$(brew --prefix tcl-tk)/include" PKG_CONFIG_PATH="$(brew --prefix tcl-tk)/lib/pkgconfig" CFLAGS="-I$(brew --prefix tcl-tk)/include" PYTHON_CONFIGURE_OPTS="--with-tcltk-includes='-I$(brew --prefix tcl-tk)/include' --with-tcltk-libs='-L$(brew --prefix tcl-tk)/lib -ltcl8.6 -ltk8.6' --enable-framework" pyenv install 3.7.10 -
pip3 install -r requirements.txt
python3 nabat_ml_gui.py
usage: nabat_ml_cli.py [-h] [-s, --sleep SLEEP] [-p, --path PATH]
[-g, --grts GRTS] [-u, --uuid UUID] [-v, --save SAVE]
Process full spectrum acoustics.
optional arguments:
-h, --help show this help message and exit
-s, --sleep SLEEP Integer delay in seconds between checking for new files
-p, --path PATH The directory to look for .wav files.
-g, --grts GRTS The NABat GrtsId where .wav files were recorded.
-u, --uuid UUID The Gottbat detector identifier.
-v, --save SAVE Upload result to NABat.
bash build_macOS.sh
Under USGS Software Release Policy, the software codes here are considered preliminary, not released officially, and posted to this repo for informal sharing among colleagues.
This software is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The software has not received final approval by the U.S. Geological Survey (USGS). No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. The software is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the software.