(Anipose) C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\DLC-ymal>cd ..

(Anipose) C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose>cd hand-demo-unfilled

(Anipose) C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled>anipose analyze
Analyzing videos...
Loading DLC 2.3.8...
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid01-camA.MOV
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid01-camB.MOV
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid01-camC.MOV
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid02-camA.MOV
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid02-camB.MOV
C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\tensorflow\python\keras\engine\base_layer_v1.py:1694: UserWarning: `layer.apply` is deprecated and will be removed in a future version. Please use `layer.__call__` method instead.
  warnings.warn('`layer.apply` is deprecated and '
100%|█████████████████████████████████████████████████████████████████████████████▊| 4386/4395 [01:32<00:00, 47.59it/s]
C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\deeplabcut\utils\auxiliaryfunctions.py:402: FutureWarning: Starting with pandas version 3.0 all arguments of to_hdf except for the argument 'path_or_buf' will be keyword-only.
  DataMachine.to_hdf(dataname, "df_with_missing", format="table", mode="w")
100%|█████████████████████████████████████████████████████████████████████████████▉| 4400/4404 [01:22<00:00, 53.15it/s]
100%|█████████████████████████████████████████████████████████████████████████████▉| 4400/4404 [01:22<00:00, 53.40it/s]
 99%|█████████████████████████████████████████████████████████████████████████████▍| 3468/3492 [01:05<00:00, 52.67it/s]
 99%|█████████████████████████████████████████████████████████████████████████████▍| 3468/3495 [01:07<00:00, 51.66it/s]
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid02-camC.MOV
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid03-camA.MOV
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid03-camB.MOV
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid03-camC.MOV
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid04-camA.MOV
C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\tensorflow\python\keras\engine\base_layer_v1.py:1694: UserWarning: `layer.apply` is deprecated and will be removed in a future version. Please use `layer.__call__` method instead.
  warnings.warn('`layer.apply` is deprecated and '
 99%|█████████████████████████████████████████████████████████████████████████████▌| 3468/3490 [01:20<00:00, 43.06it/s]
C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\deeplabcut\utils\auxiliaryfunctions.py:402: FutureWarning: Starting with pandas version 3.0 all arguments of to_hdf except for the argument 'path_or_buf' will be keyword-only.
  DataMachine.to_hdf(dataname, "df_with_missing", format="table", mode="w")
100%|█████████████████████████████████████████████████████████████████████████████▉| 4900/4905 [01:46<00:00, 45.80it/s]
100%|█████████████████████████████████████████████████████████████████████████████▉| 4900/4903 [01:38<00:00, 49.72it/s]
100%|█████████████████████████████████████████████████████████████████████████████▉| 4900/4904 [01:30<00:00, 53.93it/s]
100%|█████████████████████████████████████████████████████████████████████████████▋| 5050/5070 [01:34<00:00, 53.62it/s]
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid04-camB.MOV
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-raw\2019-08-02-vid04-camC.MOV
C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\tensorflow\python\keras\engine\base_layer_v1.py:1694: UserWarning: `layer.apply` is deprecated and will be removed in a future version. Please use `layer.__call__` method instead.
  warnings.warn('`layer.apply` is deprecated and '
100%|█████████████████████████████████████████████████████████████████████████████▋| 5050/5069 [01:35<00:00, 53.08it/s]
C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\deeplabcut\utils\auxiliaryfunctions.py:402: FutureWarning: Starting with pandas version 3.0 all arguments of to_hdf except for the argument 'path_or_buf' will be keyword-only.
  DataMachine.to_hdf(dataname, "df_with_missing", format="table", mode="w")
100%|█████████████████████████████████████████████████████████████████████████████▋| 5050/5067 [01:34<00:00, 53.60it/s]

(Anipose) C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled>anipose filter
Filtering tracked points...
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\pose-2d-filtered\2019-08-02-vid01-camA.h5
C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\anipose\filter_pose.py:204: FutureWarning: Starting with pandas version 3.0 all arguments of to_hdf except for the argument 'path_or_buf' will be keyword-only.
  dout.to_hdf(outname, 'df_with_missing', format='table', mode='w')
Traceback (most recent call last):
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\Scripts\anipose.exe\__main__.py", line 7, in <module>
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 1157, in __call__
    return self.main(*args, **kwargs)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 1078, in main
    rv = self.invoke(ctx)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 1688, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 1434, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 783, in invoke
    return __callback(*args, **kwargs)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\decorators.py", line 92, in new_func
    return ctx.invoke(f, obj, *args, **kwargs)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 783, in invoke
    return __callback(*args, **kwargs)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\anipose\anipose.py", line 147, in filter
    filter_pose_all(config)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\anipose\common.py", line 168, in fun
    return process_all(config, process_session, **args)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\anipose\common.py", line 153, in process_all
    output[past_folders] = process_session(config, path, **args)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\anipose\filter_pose.py", line 388, in process_session
    write_pose_2d(all_points[:, :, 0], metadata, outpath)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\anipose\filter_pose.py", line 204, in write_pose_2d
    dout.to_hdf(outname, 'df_with_missing', format='table', mode='w')
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\util\_decorators.py", line 333, in wrapper
    return func(*args, **kwargs)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\core\generic.py", line 2852, in to_hdf
    pytables.to_hdf(
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\io\pytables.py", line 311, in to_hdf
    f(store)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\io\pytables.py", line 293, in <lambda>
    f = lambda store: store.put(
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\io\pytables.py", line 1160, in put
    self._write_to_group(
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\io\pytables.py", line 1858, in _write_to_group
    s.write(
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\io\pytables.py", line 4397, in write
    table = self._create_axes(
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\io\pytables.py", line 4046, in _create_axes
    data_converted = _maybe_convert_for_string_atom(
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\io\pytables.py", line 5102, in _maybe_convert_for_string_atom
    raise TypeError(
TypeError: Cannot serialize the column [('DLC_resnet50_hand-demo-dlcAug5shuffle1_700000', 'base', 'x')]
because its data contents are not [string] but [floating] object dtype

(Anipose) C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled>anipose label-2d-filter
Labeling videos in 2D...
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02
C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled\2019-08-02\videos-labeled-filtered\2019-08-02-vid01-camA.mp4
Traceback (most recent call last):
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\io\pytables.py", line 1806, in _create_storer
    cls = _TABLE_MAP[tt]
KeyError: None

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\Scripts\anipose.exe\__main__.py", line 7, in <module>
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 1157, in __call__
    return self.main(*args, **kwargs)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 1078, in main
    rv = self.invoke(ctx)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 1688, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 1434, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 783, in invoke
    return __callback(*args, **kwargs)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\decorators.py", line 92, in new_func
    return ctx.invoke(f, obj, *args, **kwargs)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\click\core.py", line 783, in invoke
    return __callback(*args, **kwargs)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\anipose\anipose.py", line 252, in label_2d_filter
    label_videos_filtered_all(config)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\anipose\common.py", line 168, in fun
    return process_all(config, process_session, **args)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\anipose\common.py", line 153, in process_all
    output[past_folders] = process_session(config, path, **args)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\anipose\label_videos.py", line 161, in process_session
    visualize_labels(config, fname, vidname, out_fname)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\anipose\label_videos.py", line 64, in visualize_labels
    dlabs = pd.read_hdf(labels_fname)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\io\pytables.py", line 452, in read_hdf
    return store.select(
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\io\pytables.py", line 885, in select
    s = self._create_storer(group)
  File "C:\Users\shd-skou-circuit\Anaconda3\envs\Anipose\lib\site-packages\pandas\io\pytables.py", line 1808, in _create_storer
    raise TypeError(
TypeError: cannot properly create the storer for: [_TABLE_MAP] [group->/df_with_missing (Group) '',value-><class 'NoneType'>,format->None

(Anipose) C:\Users\shd-skou-circuit\Desktop\DATA\Sol\Anipose\hand-demo-unfilled>