How to save the plot as a jpg and predicted rttms as a file for each test file?

[sucv]

Dear author, I have a question about how to save the plot and prediction when I called the code snippet below. Seems that I cannot find any example from the ipynb tutorials. Thanks in advance!

    for file in dataset.test():
        # apply pretrained pipeline
        file["pretrained pipeline"] = pretrained_pipeline(file)

        # evaluate its performance
        metric(file["annotation"], file["pretrained pipeline"], uem=file["annotated"])

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[hbredin]

There is no easy way to save plots. You would have to dive into pyannote.core code.

Saving Annotation instances to RTTM file can be done with Annotation.write_rttm

[Approximetal]

There is no easy way to save plots. You would have to dive into pyannote.core code.

Saving Annotation instances to RTTM file can be done with Annotation.write_rttm

Sometimes different speakers seem to be plotted with the same color, how can I change that?

[alephpi]

well I think saving plot is really a necessary functionality. if we can export the annotation object as a matplotlib plot, it will also be easier to modify the plots.

[stale[bot]]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.