feat(metric): add detection, precision, and recall diarization metrics #1808
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hbredin
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antoinelaurent
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Dec 11, 2024
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benniekiss
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config as dict feat(metric): add detection, precision, and recall diarization metrics (pyannote#1808) fix: ensure round number of frames fix: update pipeline parameters in separation tutorial (pyannote#1829) setup: update torch_audiomentations, pyannote.database, pyannote.metrics and typer dependencies BREAKING: fix `cache_dir` support, rename `use_auth_token` to `token`, and other changes feat: add segmentation error rate (pyannote#1836) doc: improve HF-related docstring feat: add CLI to apply (and benchmark) pretrained pipelines binarize annotation optimizations pass checkpoint as a dict Squashed commit of the following: commit 2ccac02 Author: benniekiss <63211101+benniekiss@users.noreply.github.com> Date: Wed Jan 29 17:48:15 2025 -0500 pass checkpoint as a dict Squashed commit of the following: commit 0f3b2fe Author: benniekiss <63211101+benniekiss@users.noreply.github.com> Date: Wed Jan 29 17:58:10 2025 -0500 dont rename tracks when generating annotation * let the user decide how to rename tracks, if necessary * reduces a costly step for long audios commit 649c060 Author: benniekiss <63211101+benniekiss@users.noreply.github.com> Date: Wed Sep 11 10:31:20 2024 -0400 conditionally use optimized method pass checkpoint as a dict cleanup
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