deeplabcut.create_pretrained_project(
    "ellie",
    "ellie",
    ["/Users/elliekogan/Desktop/drive-download-20250217T155450Z-001/videos"],
    model= "superanimal_topviewmouse",
    working_directory= "/Users/elliekogan/Desktop/drive-download-20250217T155450Z-001",
    copy_videos= True,
    videotype= ".avi",
    analyzevideo= True,
    filtered= True,
    createlabeledvideo= True,
    trainFraction= None
)


---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
Cell In[11], line 1
----> 1 deeplabcut.create_pretrained_project(
      2     "ellie",
      3     "ellie",
      4     ["/Users/elliekogan/Desktop/drive-download-20250217T155450Z-001/videos"],
      5     model= "superanimal_topviewmouse",
      6     working_directory= "/Users/elliekogan/Desktop/drive-download-20250217T155450Z-001",
      7     copy_videos= True,
      8     videotype= ".avi",
      9     analyzevideo= True,
     10     filtered= True,
     11     createlabeledvideo= True,
     12     trainFraction= None
     13 )

File ~/miniconda3/envs/DEEPLABCUT/lib/python3.10/site-packages/deeplabcut/create_project/modelzoo.py:306, in create_pretrained_project(project, experimenter, videos, model, working_directory, copy_videos, videotype, analyzevideo, filtered, createlabeledvideo, trainFraction)
    304 if analyzevideo == True:
    305     print("Analyzing video...")
--> 306     deeplabcut.analyze_videos(cfg, [video_dir], videotype, save_as_csv=True)
    308 if createlabeledvideo == True:
    309     if filtered:

File ~/miniconda3/envs/DEEPLABCUT/lib/python3.10/site-packages/deeplabcut/compat.py:836, in analyze_videos(config, videos, videotype, shuffle, trainingsetindex, gputouse, save_as_csv, in_random_order, destfolder, batchsize, cropping, TFGPUinference, dynamic, modelprefix, robust_nframes, allow_growth, use_shelve, auto_track, n_tracks, calibrate, identity_only, use_openvino, engine, **torch_kwargs)
    627 """Makes prediction based on a trained network.
    628 
    629 The index of the trained network is specified by parameters in the config file
   (...)
    833     )
    834 """
    835 if engine is None:
--> 836     engine = get_shuffle_engine(
    837         _load_config(config),
    838         trainingsetindex=trainingsetindex,
    839         shuffle=shuffle,
    840         modelprefix=modelprefix,
    841     )
    843 if engine == Engine.TF:
    844     from deeplabcut.pose_estimation_tensorflow import analyze_videos

File ~/miniconda3/envs/DEEPLABCUT/lib/python3.10/site-packages/deeplabcut/generate_training_dataset/metadata.py:406, in get_shuffle_engine(cfg, trainingsetindex, shuffle, modelprefix)
    391 """
    392 Args:
    393     cfg: the config for the DeepLabCut project
   (...)
    403     doesn't exist
    404 """
    405 if not TrainingDatasetMetadata.path(cfg).exists():
--> 406     metadata = TrainingDatasetMetadata.create(cfg)
    407     metadata.save()
    409 metadata = TrainingDatasetMetadata.load(cfg)

File ~/miniconda3/envs/DEEPLABCUT/lib/python3.10/site-packages/deeplabcut/generate_training_dataset/metadata.py:293, in TrainingDatasetMetadata.create(config)
    290     cfg = config
    292 trainset_path = TrainingDatasetMetadata.path(cfg).parent
--> 293 shuffle_docs = [
    294     f
    295     for f in trainset_path.iterdir()
    296     if re.match(r"Documentation_data-.+shuffle[0-9]+\.pickle", f.name)
    297 ]
    299 prefix = cfg["Task"] + cfg["date"]
    300 shuffles = []

File ~/miniconda3/envs/DEEPLABCUT/lib/python3.10/site-packages/deeplabcut/generate_training_dataset/metadata.py:293, in <listcomp>(.0)
    290     cfg = config
    292 trainset_path = TrainingDatasetMetadata.path(cfg).parent
--> 293 shuffle_docs = [
    294     f
    295     for f in trainset_path.iterdir()
    296     if re.match(r"Documentation_data-.+shuffle[0-9]+\.pickle", f.name)
    297 ]
    299 prefix = cfg["Task"] + cfg["date"]
    300 shuffles = []

File ~/miniconda3/envs/DEEPLABCUT/lib/python3.10/pathlib.py:1017, in Path.iterdir(self)
   1013 def iterdir(self):
   1014     """Iterate over the files in this directory.  Does not yield any
   1015     result for the special paths '.' and '..'.
   1016     """
-> 1017     for name in self._accessor.listdir(self):
   1018         if name in {'.', '..'}:
   1019             # Yielding a path object for these makes little sense
   1020             continue

FileNotFoundError: [Errno 2] No such file or directory: '/Users/elliekogan/Desktop/drive-download-20250217T155450Z-001/ellie-ellie-2025-02-17/training-datasets/iteration-0/UnaugmentedDataSet_ellieFeb17'