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GPD
===

Overview
--------

``gpd`` provides a lightweight earthquake picking adapter with the same waveform-to-pick interface used across the PyHazards earthquake benchmarks.

At a Glance
-----------

.. grid:: 1 2 4 4
   :gutter: 2
   :class-container: catalog-grid

   .. grid-item-card:: Hazard Family
      :class-card: catalog-stat-card

      .. container:: catalog-stat-value

         Earthquake

      .. container:: catalog-stat-note

         Public catalog grouping used for this model.

   .. grid-item-card:: Maturity
      :class-card: catalog-stat-card

      .. container:: catalog-stat-value

         Implemented

      .. container:: catalog-stat-note

         Catalog maturity label used on the index page.

   .. grid-item-card:: Tasks
      :class-card: catalog-stat-card

      .. container:: catalog-stat-value

         1

      .. container:: catalog-stat-note

         Phase Picking

   .. grid-item-card:: Benchmark Family
      :class-card: catalog-stat-card

      .. container:: catalog-stat-value

         :doc:`Earthquake Benchmark </benchmarks/earthquake_benchmark>`

      .. container:: catalog-stat-note

         Primary benchmark-family link used for compatible evaluation coverage.


Description
-----------

``gpd`` provides a lightweight earthquake picking adapter with the same waveform-to-pick interface used across the PyHazards earthquake benchmarks.

This adapter is intended as a reproducible low-cost baseline rather than an exact port of every original training detail.

Benchmark Compatibility
-----------------------

**Primary benchmark family:** :doc:`Earthquake Benchmark </benchmarks/earthquake_benchmark>`

**Mapped benchmark ecosystems:** :doc:`pick-benchmark </benchmarks/pick_benchmark>`

External References
-------------------

**Paper:** `Generalized Seismic Phase Detection with Deep Learning <https://doi.org/10.1785/0120180080>`_ | **Repo:** `Repository <https://github.com/interseismic/generalized-phase-detection>`__

Registry Name
-------------

Primary entrypoint: ``gpd``

Supported Tasks
---------------

- Phase Picking

Programmatic Use
----------------

.. code-block:: python

   import torch
   from pyhazards.models import build_model

   model = build_model(name="gpd", task="regression", in_channels=3)
   picks = model(torch.randn(4, 3, 256))
   print(picks.shape)

Notes
-----

- The adapter keeps a simple two-output pick interface for shared evaluation.