o pi(@sddlmZmZddlmZddlmZddlmZddlmZddlmZddl m Z dd l m Z dd l m Z dd l Z dd ed eede fddZ dd ed eede fddZGdddeZd S))DictOptional)Protocol) ProtocolFile)Subset) Preprocessor) Preprocessors) Annotation)Timeline)SegmentN current_fileexisting_preprocessorreturncCsn|dur |dd}n||}|durdS|dd}|dur!|Std|}|r5||vr5|j|ddS|S)aPreprocessor that crops 'annotated' according to 'duration' Returns 'annotated' unchanged if 'duration' is not available Parameters ---------- current_file : ProtocolFile Protocol file. existing_preprocessor : Preprocessor, optional When provided, this preprocessor must be used to get the initial 'annotated' instead of getting it from 'current_file["annotated"]' Returns ------- cropped_annotated : Timeline "annotated" cropped by "duration". N annotatedduration intersectionmode)getr extentcrop)r rrrr[/home/ubuntu/.local/lib/python3.10/site-packages/pyannote/database/protocol/segmentation.pycrop_annotated*s  rcCsf|dur |dd}n||}|durdS|dd}|dur!|S|r1||s1|j|ddS|S)aPreprocessor that crops 'annotation' by 'annotated' Returns 'annotation' unchanged if 'annotated' is not available Parameters ---------- current_file : ProtocolFile Protocol file. existing_preprocessor : Preprocessor, optional When provided, this preprocessor must be used to get the initial 'annotation' instead of getting it from 'current_file["annotation"]' Returns ------- cropped_annotation : Annotation "annotation" cropped by "annotated". N annotationrrr)rcovers get_timeliner)r rrrrrrcrop_annotationTs rcs@eZdZdZd deeffdd Zd dedefd d Z Z S) SegmentationProtocolaA protocol for segmentation experiments A segmentation protocol can be defined programmatically by creating a class that inherits from SegmentationProtocol and implements at least one of `train_iter`, `development_iter` and `test_iter` methods: >>> class MySegmentationProtocol(SegmentationProtocol): ... def train_iter(self) -> Iterator[Dict]: ... yield {"uri": "filename1", ... "annotation": Annotation(...), ... "annotated": Timeline(...)} ... yield {"uri": "filename2", ... "annotation": Annotation(...), ... "annotated": Timeline(...)} `{subset}_iter` should return an iterator of dictionnaries with - "uri" key (mandatory) that provides a unique file identifier (usually the filename), - "annotation" key (mandatory for train and development subsets) that provides reference segmentation as a `pyannote.core.Annotation` instance, - "annotated" key (recommended) that describes which part of the file has been annotated, as a `pyannote.core.Timeline` instance. Any part of "annotation" that lives outside of the provided "annotated" will be removed. This is also used by `pyannote.metrics` to remove un-annotated regions from its evaluation report, and by `pyannote.audio` to not consider empty un-annotated regions as non-speech. - any other key that the protocol may provide. It can then be used in Python like this: >>> protocol = MySegmentationProtocol() >>> for file in protocol.train(): ... print(file["uri"]) filename1 filename2 A segmentation protocol can also be defined using `pyannote.database` configuration file, whose (configurable) path defaults to "~/database.yml". ~~~ Content of ~/database.yml ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Protocols: MyDatabase: Segmentation: MyProtocol: train: uri: /path/to/collection.lst annotation: /path/to/reference.rttm annotated: /path/to/reference.uem any_other_key: ... # see custom loader documentation ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ where "/path/to/collection.lst" contains the list of identifiers of the files in the collection: ~~~ Content of "/path/to/collection.lst ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ filename1 filename2 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ "/path/to/reference.rttm" contains the reference segmentation using RTTM format: ~~~ Content of "/path/to/reference.rttm ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ SPEAKER filename1 1 3.168 0.800 music SPEAKER filename1 1 5.463 0.640 music SPEAKER filename1 1 5.496 0.574 speech SPEAKER filename1 1 10.454 0.499 speech SPEAKER filename2 1 2.977 0.391 noise SPEAKER filename2 1 18.705 0.964 noise SPEAKER filename2 1 22.269 0.457 music SPEAKER filename2 1 28.474 1.526 music ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ "/path/to/reference.uem" describes the annotated regions using UEM format: ~~~ Content of "/path/to/reference.uem ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ filename1 NA 0.000 30.000 filename2 NA 0.000 30.000 filename2 NA 40.000 70.000 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ It can then be used in Python like this: >>> from pyannote.database import registry >>> protocol = registry.get_protocol('MyDatabase.SpeakerDiarization.MyProtocol') >>> for file in protocol.train(): ... print(file["uri"]) filename1 filename2 N preprocessorscsT|durt}tjt|ddd|d<tjt|ddd|d<tj|ddS)Nr)rr)r!)dict functoolspartialrrrsuper__init__)selfr! __class__rrr&s    zSegmentationProtocol.__init__trainsubsetrc Csddlm}d}d}d}i}t||D]5}||}||7}|d} || 7}| D]\} } | |vrs6         + (