Visualization
pyannote.core.Segment
, pyannote.core.Timeline
,
pyannote.core.Annotation
and pyannote.core.SlidingWindowFeature
instances can be directly visualized in notebooks.
You will however need to install pyannote.core
’s additional dependencies
for notebook representations (namely, matplotlib):
pip install pyannote.core[notebook]
Segments
In [1]: from pyannote.core import Segment
In [2]: segment = Segment(start=5, end=15)
....: segment
(Source code
, png
, hires.png
, pdf
)

Timelines
In [25]: from pyannote.core import Timeline, Segment
In [26]: timeline = Timeline()
....: timeline.add(Segment(1, 5))
....: timeline.add(Segment(6, 8))
....: timeline.add(Segment(12, 18))
....: timeline.add(Segment(7, 20))
....: timeline
(Source code
, png
, hires.png
, pdf
)

Annotations
In [1]: from pyannote.core import Annotation, Segment
In [6]: annotation = Annotation()
...: annotation[Segment(1, 5)] = 'Carol'
...: annotation[Segment(6, 8)] = 'Bob'
...: annotation[Segment(12, 18)] = 'Carol'
...: annotation[Segment(7, 20)] = 'Alice'
...: annotation
(Source code
, png
, hires.png
, pdf
)
