Tut 9: Aggregation of detections in plot detections custom footage issue on cloudina

[Bergylta]

🐛 Bug

When running custom footage through tutorial 9, the aggregation to plot the detections does not work

To Reproduce (REQUIRED)

Input: Custom footage

Output:

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
Cell In[15], line 1
----> 1 t_utils.plot_processed_detections(
      2     df=dets_df,
      3     thres=10,  # number of seconds for thresholding in interval
      4     int_length=10,  # length in seconds of interval for filtering
      5 )

File ~/kso/kso_utils/tutorials_utils.py:1705, in plot_processed_detections(df, thres, int_length)
   1701 interval = pd.Grouper(key="seconds_since_reference", freq=str(int_length) + "S")
   1703 # Group by species and minute, calculate the count
   1704 max_count_per_species = (
-> 1705     df.groupby(["movie_id", "commonName", interval])["max_n"].max().reset_index()
   1706 )
   1708 # Enable plotting of matplotlib
   1709 try:

File ~/.local/lib/python3.10/site-packages/pandas/core/frame.py:7714, in DataFrame.groupby(self, by, axis, level, as_index, sort, group_keys, squeeze, observed, dropna)
   7709 axis = self._get_axis_number(axis)
   7711 # https://github.com/python/mypy/issues/7642
   7712 # error: Argument "squeeze" to "DataFrameGroupBy" has incompatible type
   7713 # "Union[bool, NoDefault]"; expected "bool"
-> 7714 return DataFrameGroupBy(
   7715     obj=self,
   7716     keys=by,
   7717     axis=axis,
   7718     level=level,
   7719     as_index=as_index,
   7720     sort=sort,
   7721     group_keys=group_keys,
   7722     squeeze=squeeze,  # type: ignore[arg-type]
   7723     observed=observed,
   7724     dropna=dropna,
   7725 )

File ~/.local/lib/python3.10/site-packages/pandas/core/groupby/groupby.py:882, in GroupBy.__init__(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, squeeze, observed, mutated, dropna)
    879 if grouper is None:
    880     from pandas.core.groupby.grouper import get_grouper
--> 882     grouper, exclusions, obj = get_grouper(
    883         obj,
    884         keys,
    885         axis=axis,
    886         level=level,
    887         sort=sort,
    888         observed=observed,
    889         mutated=self.mutated,
    890         dropna=self.dropna,
    891     )
    893 self.obj = obj
    894 self.axis = obj._get_axis_number(axis)

File ~/.local/lib/python3.10/site-packages/pandas/core/groupby/grouper.py:882, in get_grouper(obj, key, axis, level, sort, observed, mutated, validate, dropna)
    880         in_axis, level, gpr = False, gpr, None
    881     else:
--> 882         raise KeyError(gpr)
    883 elif isinstance(gpr, Grouper) and gpr.key is not None:
    884     # Add key to exclusions
    885     exclusions.add(gpr.key)

KeyError: 'commonName'

Expected behavior

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Environment

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• OS: [e.g. Ubuntu]
• GPU [e.g. 2080 Ti]

Additional context

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[victor-wildlife]

@Bergylta what is the custom footage you are trying to run (e.g. is this a folder in SNIC I can try with on my end)?

[Bergylta]

@victor-wildlife , i think it should be the GARV_01.mp4, which on cloudina lies in the concat gobies 1 folder. That being said, i am too getting the artifact download error right now.