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874 B
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Model config reference
ModelConfig defines the model stack used for training or fresh model
construction.
Defined in batdetect2.models.
Top-level fields
samplerate- expected input sample rate.
architecture- backbone network settings.
preprocess- spectrogram preprocessing settings.
postprocess- decoding and output filtering settings.
What this config controls
Use ModelConfig when you want to change things like:
- the backbone architecture,
- the spectrogram settings used by the model,
- postprocessing settings stored with the model.
Example files live under example_data/configs/, including
example_data/configs/model.yaml.
Related pages
- Preprocessing config:
{doc}
../data/preprocessing-config - Postprocess config:
{doc}
../data/postprocess-config - Train command reference:
{doc}
../../cli/train