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Hi, I was recently working on DER and found that Annotation shows inconsistency between plot and legend when tensors are used. For example,
from pyannote.core import Annotation, Segment import torch import numpy as np annotation = Annotation() for i in range(10): annotation[Segment(i, i + 1)] = torch.tensor(0) annotation
Executing the above code would produce the following output
However assigning int 0 rather tensor produces the accurate plot,
int
tensor
If only numpy data is being handled properly, there is no exception generated when tensors are used.
The text was updated successfully, but these errors were encountered:
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Hi, I was recently working on DER and found that Annotation shows inconsistency between plot and legend when tensors are used.
For example,
Executing the above code would produce the following output
However assigning
int
0 rathertensor
produces the accurate plot,If only numpy data is being handled properly, there is no exception generated when tensors are used.
The text was updated successfully, but these errors were encountered: