Cloudina Notebook 9 issue: TypeError when trying to process detections of a longer movie

[Bergylta]

🐛 Bug

A clear and concise description of what the bug is.

To Reproduce (REQUIRED)

Input: Path:/data/album/kso/More_testing/Testing_GU_ross01_v4/annotations.csv

dets_df = pp.process_detections(
    project=pp.project,
    db_connection=pp.db_connection,
    csv_paths=pp.csv_paths,
    annotations_csv_path=mlp.eval_dir,
    model_registry=mlp.registry,
    model=model.value,
    team_name=mlp.team_name,
    project_name=mlp.project_name,
)

Output:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[20], line 1
----> 1 dets_df = pp.process_detections(
      2     project=pp.project,
      3     db_connection=pp.db_connection,
      4     csv_paths=pp.csv_paths,
      5     annotations_csv_path=mlp.eval_dir,
      6     model_registry=mlp.registry,
      7     model=model.value,
      8     team_name=mlp.team_name,
      9     project_name=mlp.project_name,
     10 )

File ~/kso/kso_utils/project.py:1122, in ProjectProcessor.process_detections(self, project, db_connection, csv_paths, annotations_csv_path, model_registry, model, project_name, team_name)
   1119 out_list = []
   1120 for movie_path in self.selected_movies_paths:
   1121     out_list.append(
-> 1122         yolo_utils.process_detections(
   1123             project=project,
   1124             db_connection=db_connection,
   1125             csv_paths=csv_paths,
   1126             annotations_csv_path=annotations_csv_path,
   1127             model_registry=model_registry,
   1128             selected_movies_id=self.selected_movies_ids,
   1129             model=model,
   1130             project_name=project_name,
   1131             team_name=team_name,
   1132             source_movies=movie_path,
   1133         )
   1134     )
   1135 df_concat = pd.concat(out_list, axis=1)
   1136 return df_concat

File ~/kso/kso_utils/yolo_utils.py:2009, in process_detections(project, db_connection, csv_paths, annotations_csv_path, model_registry, selected_movies_id, model, project_name, team_name, source_movies)
   1992 """
   1993 > This function computes the given statistics over the detections obtained by a model on different footages for the species of interest,
   1994 and saves the results in different csv files.
   (...)
   2005 :param source_movies: A string with the path to the movies where the model ran inferences from
   2006 """
   2008 # Read the annotations.csv file
-> 2009 df = pd.read_csv(Path(annotations_csv_path, "annotations.csv"))
   2011 # Check if the DataFrame is not empty
   2012 if df.empty:

File /opt/tljh/user/lib/python3.10/pathlib.py:960, in Path.__new__(cls, *args, **kwargs)
    958 if cls is Path:
    959     cls = WindowsPath if os.name == 'nt' else PosixPath
--> 960 self = cls._from_parts(args)
    961 if not self._flavour.is_supported:
    962     raise NotImplementedError("cannot instantiate %r on your system"
    963                               % (cls.__name__,))

File /opt/tljh/user/lib/python3.10/pathlib.py:594, in PurePath._from_parts(cls, args)
    589 @classmethod
    590 def _from_parts(cls, args):
    591     # We need to call _parse_args on the instance, so as to get the
    592     # right flavour.
    593     self = object.__new__(cls)
--> 594     drv, root, parts = self._parse_args(args)
    595     self._drv = drv
    596     self._root = root

File /opt/tljh/user/lib/python3.10/pathlib.py:578, in PurePath._parse_args(cls, args)
    576     parts += a._parts
    577 else:
--> 578     a = os.fspath(a)
    579     if isinstance(a, str):
    580         # Force-cast str subclasses to str (issue #21127)
    581         parts.append(str(a))

TypeError: expected str, bytes or os.PathLike object, not FileChooser

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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[jannesgg]

mlp.eval_dir.selected for manual fix