13 assess birdnet buow classes #70
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one script to convert the birdnet results for buowset into a reusable pkl for the other script who will be able to assess against the ground truth
now have a script that aligns the birdnet result along with the buowset labels in one dataframe so we can easily compare the 2 with the next function i have to add. the data prep is done just need to add in the function to compare the results
obtained a confusion matrix for birdnet on buowset. super high precision, super low accuracy. doesnt seem to get false positives but has mannyyyy false negatives. need to add docstrings and a way to put these metrics of birdnet on cometml
this code allows you to obtain the performance metrics for birdnet against a ground truth dataset (specifically buowset) as a binary model, and also allows you to specify a certain vocalization class to isolate the performance metrics for. it also allows you to post these results to comet
there were some pylint and flake8 errors. This could be turned into something in the whoot package itself but maybe should happen as a refactor after merging to dev because this branch is behind dev and doesn't have the __init__ stuff.
Sean1572
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Aug 13, 2025
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Still need to finsh review
Sean1572
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Oct 17, 2025
| row_lower['MANUAL ID*'] = row['MANUAL ID*'].str.lower() | ||
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| if row_lower['MANUAL ID*'] == 'cluck': | ||
| chunks_df.loc[start_chunk:end_chunk, 'Label'] = '0' |
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Is this intended? This is going to assign multiple rows to a given label
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script to compare specifically how birdnet well does on different buowset versions