bacpipe.model_pipelines.feature_extractors.batdetect2_dets_avg

Functions

get_mean_detection_features(results, features)

Classes

`Model`([segment_duration, ...])
`ModelBaseClass`(sr, segment_length, model_name)
`partial`	partial(func, args, *keywords) - new function with partial application of the given arguments and keywords.

class bacpipe.model_pipelines.feature_extractors.batdetect2_dets_avg.Model(segment_duration=1, detection_threshold=0.3, top_k_detections=None, **kwargs)[source]

Bases: ModelBaseClass

preprocess(audio)[source]

bacpipe.model_pipelines.feature_extractors.batdetect2_dets_avg.get_mean_detection_features(results, features, top_k=None)[source]

Return type:: tuple[Tensor, Tensor]