epos-ai-picking-tools (0.6.3)
Published 2024-07-22 10:06:56 +02:00 by h.siejkowski
Installation
pip install --index-url About this package
P and S Waves Detection with Deep Learning
P and S Waves Detection with Deep Learning
Installation
pip install --extra-index-url https://epos-apps.grid.cyfronet.pl/api/packages/epos-ai/pypi/simple epos_ai_picking_tools
Generalized Phase Detection (GPD) Model
Documentation
Usage: gpd_tool [OPTIONS] COMMAND [ARGS]...
Options:
--help Show this message and exit.
Commands:
citation Prints citation of the model
list-pretrained Show pretrained model names
pick Detect phases in streams
version Prints version
Pick
Usage: gpd_tool pick [OPTIONS] [STREAM_FILE_NAMES]...
Detect phases in streams
Options:
-w, --weights TEXT for possible options see output of 'list-pretrained'
[default: original]
-o, --output PATH directory to store results [default: .]
-s, --stride INTEGER stride in samples for point prediction models
[default: 10]
-tp, --threshold-p FLOAT detection threshold for the P phase [default: 0.75]
-ts, --threshold-s FLOAT detection threshold for the S phase [default: 0.75]
--help Show this message and exit.
Citation
Ross, Z. E., Meier, M.-A., Hauksson, E., & Heaton, T. H. (2018). Generalized Seismic Phase Detection with Deep Learning. ArXiv:1805.01075 [Physics]. https://arxiv.org/abs/1805.01075
PhaseNet
Documentation
Usage: phasenet_tool [OPTIONS] COMMAND [ARGS]...
Options:
--help Show this message and exit.
Commands:
citation Prints citation of the model
extras Downloads extra model weights from EPOS AI Platform
list-pretrained Show pretrained model names
pick Detect phases in streams
version Prints version
Pick
Usage: phasenet_tool pick [OPTIONS] [STREAM_FILE_NAMES]...
Detect phases in streams
Options:
-w, --weights TEXT for possible options see output of 'list-pretrained'
[default: original]
-o, --output PATH directory to store results [default: .]
-tp, --threshold-p FLOAT detection threshold for the P phase [default: 0.3]
-ts, --threshold-s FLOAT detection threshold for the S phase [default: 0.3]
-b, --blinding TUPLE number of prediction samples to discard on each side
of each window prediction [default: 0, 0]
--help Show this message and exit.
Citation
Zhu, W., & Beroza, G. C. (2019). PhaseNet: a deep-neural-network-based seismic arrival-time picking method. Geophysical Journal International, 216(1), 261-273. https://doi.org/10.1093/gji/ggy423
Requirements
Requires Python: >=3.7