bacpipe.model_pipelines.feature_extractors.perch_v2

Functions

load_model_by_name(model_config_name)

Loads the embedding model by model name.

Classes

Model([model_choice, sr, segment_length])
ModelBaseClass(sr, segment_length, model_name)

class bacpipe.model_pipelines.feature_extractors.perch_v2.Model(model_choice='perch_v2_cpu', sr=32000, segment_length=160000, **kwargs)

Bases: ModelBaseClass

classifier_predictions(embeddings)

preprocess(audio)