napari plugin fails to save labels

[mikeumo]

Is there an existing issue for this?

• I have searched the existing issues

Operating System

MacOS 26.5

DeepLabCut version

3.0.0
(upgraded from 3.0.0rc13)

What engine are you using?

pytorch

DeepLabCut mode

multi animal

Device type

M5 Max

Bug description 🐛

When I label a frame and then try to save the layer I get no notification in the state bar and the terminal gives this output:

DEBUG:napari_deeplabcut.core.io:Resolved multianimalproject=True from config at /Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting/config.yaml
DEBUG:napari_deeplabcut.core.io:FINAL WRITE first columns=[('Umorin', 'mouse_1', 'nose', 'x'), ('Umorin', 'mouse_1', 'nose', 'y'), ('Umorin', 'mouse_1', 'lower_jaw', 'x'), ('Umorin', 'mouse_1', 'lower_jaw', 'y'), ('Umorin', 'mouse_1', 'left_eye', 'x'), ('Umorin', 'mouse_1', 'left_eye', 'y'), ('Umorin', 'mouse_1', 'right_eye', 'x'), ('Umorin', 'mouse_1', 'right_eye', 'y'), ('Umorin', 'mouse_1', 'left_ear', 'x'), ('Umorin', 'mouse_1', 'left_ear', 'y')]
DEBUG:napari_deeplabcut.core.io:FINAL WRITE bodyparts unique=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
DEBUG:napari_deeplabcut.core.io:FINAL WRITE columns nlevels: 4
DEBUG:napari_deeplabcut.core.io:FINAL WRITE columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.io:FINAL WRITE individuals values: ['mouse_1', 'mouse_2']
Traceback (most recent call last):
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/_widgets.py", line 313, in
lambda: self._save_layers_dialog(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/_widgets.py", line 1217, in _save_layers_dialog
outcome = self._save_workflow.save_layers(selected=selected)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/ui/ui_dialogs/save.py", line 174, in save_layers
return self._save_single_points_layer(layer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/ui/ui_dialogs/save.py", line 302, in _save_single_points_layer
self.viewer.layers.save("dlc.h5", selected=True, plugin="napari-deeplabcut")
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/components/layerlist.py", line 543, in save
return save_layers(path, layers, plugin=plugin, _writer=_writer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/plugins/io.py", line 244, in save_layers
_written, writer_name = _write_single_layer_with_plugins(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/plugins/io.py", line 475, in _write_single_layer_with_plugins
raise ValueError(
ValueError: There is no registered plugin named 'napari-deeplabcut'.
Plugins capable of writing layer._type_string layers are: set()

Steps To Reproduce

I have a separate dlc3 environment with python = 3.12

I install the later DLC3 (the issue was present in rc13 as well
run DLC3
label a keypoint
try to save with Command-S

Relevant log output

see above, the full terminal output:

(dlc3) mike@MacBook-Pro-4 ~ % python -m deeplabcut         
Starting GUI...
WARNING:root:Could not read shuffle metadata for trainingsetindex=0, shuffle=1: Could not find a shuffle with train_fraction=0.95 and index=1. Known shuffles (fraction, index): none.. Falling back to detecting the engine from model folders.
_pythonToCppCopy: Cannot copy-convert 0x100f59ae8 (NoneType) to C++.
WARNING:root:Could not read shuffle metadata for trainingsetindex=0, shuffle=1: Could not find a shuffle with train_fraction=0.95 and index=1. Known shuffles (fraction, index): none.. Falling back to detecting the engine from model folders.
_pythonToCppCopy: Cannot copy-convert 0x100f59ae8 (NoneType) to C++.
INFO:deeplabcut.gui:Use all bodyparts
DEBUG:napari_deeplabcut.ui.plots.trajectory:Loading trajectory plot DataFrame from layer: None
DEBUG:napari_deeplabcut.ui.plots.trajectory:Loading trajectory plot DataFrame from layer: None
DEBUG:napari_deeplabcut.core.layer_lifecycle.manager:Lifecycle manager adopting existing layers count=0
DEBUG:napari_deeplabcut.core.layer_lifecycle.manager:Lifecycle manager processing insert layer='images' type=Image index=0
DEBUG:napari_deeplabcut.core.layer_lifecycle.manager:Setup image layer='images' index=0 reorder=True paths_count=200 root='/Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting/labeled-data/test_2_mice_run_2_part_002' context_changed=True
DEBUG:napari_deeplabcut.ui.plots.trajectory:Loading trajectory plot DataFrame from layer: None
DEBUG:napari_deeplabcut.ui.plots.trajectory:Loading trajectory plot DataFrame from layer: None
DEBUG:napari_deeplabcut.core.layer_lifecycle.manager:Lifecycle manager processing insert layer='CollectedData_Umorin' type=Points index=1
DEBUG:napari_deeplabcut.core.keypoints:Requested 24 colors from a listed palette of length 12; cycling palette.
DEBUG:napari_deeplabcut._widgets:Setup points layer='CollectedData_Umorin' metadata_keys=['colormap_name', 'config_colormap', 'face_color_cycles', 'header', 'kind', 'paths', 'project', 'root']
DEBUG:napari_deeplabcut.core.layer_lifecycle.manager:Wire points layer='CollectedData_Umorin' existing_store=True project=/Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting root=/Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting/labeled-data/test_2_mice_run_2_part_002 len_paths=200
DEBUG:napari_deeplabcut.core.layer_lifecycle.manager:Setup points layer='CollectedData_Umorin' allow_merge=True metadata_keys=['colormap_name', 'config_colormap', 'face_color_cycles', 'header', 'kind', 'paths', 'project', 'root']
DEBUG:napari_deeplabcut.core.layer_lifecycle.manager:Remap start layer='CollectedData_Umorin' old_paths_len=200 new_paths_len=200 data_shape=(0, 3) frame_min=None frame_max=None
DEBUG:napari_deeplabcut.core.remap:Remap mapping stats: depth=3 old=200 new=200 mapped=200 identity=200 overlap=200
DEBUG:napari_deeplabcut.core.layer_lifecycle.manager:Remap result layer='CollectedData_Umorin' changed=False mapped_count=200 depth=3 message=Path keys already aligned; no remap needed. warnings=()
DEBUG:napari_deeplabcut.core.layer_lifecycle.manager:Remap accepted-noop for CollectedData_Umorin (depth=3, mapped=200): Path keys already aligned; no remap needed.
DEBUG:napari_deeplabcut.ui.plots.trajectory:Loading trajectory plot DataFrame from layer: None
DEBUG:napari_deeplabcut.ui.color_scheme_display:Skipping unavailable Points event 'shown' for layer='CollectedData_Umorin'
DEBUG:napari_deeplabcut.ui.plots.trajectory:Loading trajectory plot DataFrame from layer: None
DEBUG:napari_deeplabcut.ui.plots.trajectory:Loading trajectory plot DataFrame from layer: None
DEBUG:napari_deeplabcut.ui.plots.trajectory:Loading trajectory plot DataFrame from layer: None
DEBUG:napari_deeplabcut.core.keypoints:Requested 24 colors from a listed palette of length 12; cycling palette.
DEBUG:napari_deeplabcut.core.keypoints:Requested 24 colors from a listed palette of length 12; cycling palette.
DEBUG:napari_deeplabcut.ui.color_scheme_display:Updating color scheme display with 1 entries
DEBUG:napari_deeplabcut.core.keypoints:Requested 24 colors from a listed palette of length 12; cycling palette.
DEBUG:napari_deeplabcut.core.metadata:Raw header type=<class 'dict'>
DEBUG:napari_deeplabcut.core.metadata:Raw header has columns=False
DEBUG:napari_deeplabcut.core.metadata:columns type=<class 'NoneType'>
DEBUG:napari_deeplabcut._widgets:About to save. io.kind=None save_target=None
DEBUG:napari_deeplabcut.core.metadata:Raw header type=<class 'dict'>
DEBUG:napari_deeplabcut.core.metadata:Raw header has columns=False
DEBUG:napari_deeplabcut.core.metadata:columns type=<class 'NoneType'>
DEBUG:napari_deeplabcut.core.dataframes:Before reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:After reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.metadata:Raw header type=<class 'dict'>
DEBUG:napari_deeplabcut.core.metadata:Raw header has columns=False
DEBUG:napari_deeplabcut.core.metadata:columns type=<class 'NoneType'>
DEBUG:napari_deeplabcut.core.metadata:Raw header type=<class 'dict'>
DEBUG:napari_deeplabcut.core.metadata:Raw header has columns=False
DEBUG:napari_deeplabcut.core.metadata:columns type=<class 'NoneType'>
DEBUG:napari_deeplabcut.core.io:HEADER nlevels: 4
DEBUG:napari_deeplabcut.core.io:HEADER names: ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.io:WRITE header bodyparts=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
DEBUG:napari_deeplabcut.core.io:WRITE props labels unique=['nose']
DEBUG:napari_deeplabcut.core.dataframes:Before reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:After reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.io:DF_NEW columns nlevels: 4
DEBUG:napari_deeplabcut.core.io:DF_NEW columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.io:DF_NEW finite count: 2
DEBUG:napari_deeplabcut.core.metadata:Raw header type=<class 'dict'>
DEBUG:napari_deeplabcut.core.metadata:Raw header has columns=False
DEBUG:napari_deeplabcut.core.metadata:columns type=<class 'NoneType'>
DEBUG:napari_deeplabcut.core.io:Resolved multianimalproject=True from config at /Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting/config.yaml
DEBUG:napari_deeplabcut.core.io:FINAL WRITE first columns=[('Umorin', 'mouse_1', 'nose', 'x'), ('Umorin', 'mouse_1', 'nose', 'y'), ('Umorin', 'mouse_1', 'lower_jaw', 'x'), ('Umorin', 'mouse_1', 'lower_jaw', 'y'), ('Umorin', 'mouse_1', 'left_eye', 'x'), ('Umorin', 'mouse_1', 'left_eye', 'y'), ('Umorin', 'mouse_1', 'right_eye', 'x'), ('Umorin', 'mouse_1', 'right_eye', 'y'), ('Umorin', 'mouse_1', 'left_ear', 'x'), ('Umorin', 'mouse_1', 'left_ear', 'y')]
DEBUG:napari_deeplabcut.core.io:FINAL WRITE bodyparts unique=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
DEBUG:napari_deeplabcut.core.io:FINAL WRITE columns nlevels: 4
DEBUG:napari_deeplabcut.core.io:FINAL WRITE columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.io:FINAL WRITE individuals values: ['mouse_1', 'mouse_2']
Traceback (most recent call last):
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/_widgets.py", line 313, in <lambda>
    lambda: self._save_layers_dialog(
            ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/_widgets.py", line 1217, in _save_layers_dialog
    outcome = self._save_workflow.save_layers(selected=selected)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/ui/ui_dialogs/save.py", line 174, in save_layers
    return self._save_single_points_layer(layer)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/ui/ui_dialogs/save.py", line 302, in _save_single_points_layer
    self.viewer.layers.save("__dlc__.h5", selected=True, plugin="napari-deeplabcut")
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/components/layerlist.py", line 543, in save
    return save_layers(path, layers, plugin=plugin, _writer=_writer)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/plugins/io.py", line 244, in save_layers
    _written, writer_name = _write_single_layer_with_plugins(
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/plugins/io.py", line 475, in _write_single_layer_with_plugins
    raise ValueError(
ValueError: There is no registered plugin named 'napari-deeplabcut'.
Plugins capable of writing layer._type_string layers are: set()
DEBUG:napari_deeplabcut.core.metadata:Raw header type=<class 'dict'>
DEBUG:napari_deeplabcut.core.metadata:Raw header has columns=False
DEBUG:napari_deeplabcut.core.metadata:columns type=<class 'NoneType'>
DEBUG:napari_deeplabcut._widgets:About to save. io.kind=None save_target=None
DEBUG:napari_deeplabcut.core.metadata:Raw header type=<class 'dict'>
DEBUG:napari_deeplabcut.core.metadata:Raw header has columns=False
DEBUG:napari_deeplabcut.core.metadata:columns type=<class 'NoneType'>
DEBUG:napari_deeplabcut.core.dataframes:Before reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:After reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.metadata:Raw header type=<class 'dict'>
DEBUG:napari_deeplabcut.core.metadata:Raw header has columns=False
DEBUG:napari_deeplabcut.core.metadata:columns type=<class 'NoneType'>
DEBUG:napari_deeplabcut.core.metadata:Raw header type=<class 'dict'>
DEBUG:napari_deeplabcut.core.metadata:Raw header has columns=False
DEBUG:napari_deeplabcut.core.metadata:columns type=<class 'NoneType'>
DEBUG:napari_deeplabcut.core.io:HEADER nlevels: 4
DEBUG:napari_deeplabcut.core.io:HEADER names: ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.io:WRITE header bodyparts=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
DEBUG:napari_deeplabcut.core.io:WRITE props labels unique=['nose']
DEBUG:napari_deeplabcut.core.dataframes:Before reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:After reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.dataframes:header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.io:DF_NEW columns nlevels: 4
DEBUG:napari_deeplabcut.core.io:DF_NEW columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.io:DF_NEW finite count: 2
DEBUG:napari_deeplabcut.core.metadata:Raw header type=<class 'dict'>
DEBUG:napari_deeplabcut.core.metadata:Raw header has columns=False
DEBUG:napari_deeplabcut.core.metadata:columns type=<class 'NoneType'>
DEBUG:napari_deeplabcut.core.io:Resolved multianimalproject=True from config at /Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting/config.yaml
DEBUG:napari_deeplabcut.core.io:FINAL WRITE first columns=[('Umorin', 'mouse_1', 'nose', 'x'), ('Umorin', 'mouse_1', 'nose', 'y'), ('Umorin', 'mouse_1', 'lower_jaw', 'x'), ('Umorin', 'mouse_1', 'lower_jaw', 'y'), ('Umorin', 'mouse_1', 'left_eye', 'x'), ('Umorin', 'mouse_1', 'left_eye', 'y'), ('Umorin', 'mouse_1', 'right_eye', 'x'), ('Umorin', 'mouse_1', 'right_eye', 'y'), ('Umorin', 'mouse_1', 'left_ear', 'x'), ('Umorin', 'mouse_1', 'left_ear', 'y')]
DEBUG:napari_deeplabcut.core.io:FINAL WRITE bodyparts unique=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
DEBUG:napari_deeplabcut.core.io:FINAL WRITE columns nlevels: 4
DEBUG:napari_deeplabcut.core.io:FINAL WRITE columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.io:FINAL WRITE individuals values: ['mouse_1', 'mouse_2']
Traceback (most recent call last):
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/_widgets.py", line 313, in <lambda>
    lambda: self._save_layers_dialog(
            ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/_widgets.py", line 1217, in _save_layers_dialog
    outcome = self._save_workflow.save_layers(selected=selected)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/ui/ui_dialogs/save.py", line 174, in save_layers
    return self._save_single_points_layer(layer)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/ui/ui_dialogs/save.py", line 302, in _save_single_points_layer
    self.viewer.layers.save("__dlc__.h5", selected=True, plugin="napari-deeplabcut")
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/components/layerlist.py", line 543, in save
    return save_layers(path, layers, plugin=plugin, _writer=_writer)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/plugins/io.py", line 244, in save_layers
    _written, writer_name = _write_single_layer_with_plugins(
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/plugins/io.py", line 475, in _write_single_layer_with_plugins
    raise ValueError(
ValueError: There is no registered plugin named 'napari-deeplabcut'.
Plugins capable of writing layer._type_string layers are: set()

Anything else?

No response

Code of Conduct

• I agree to follow this project's Code of Conduct

[mikeumo]

FYI: I have deleted and completely reinstalled the conda environment and the DLC, but the problem still persists

[C-Achard]

Hello @mikeumo, thanks for the report.

This looks like a manifest parsing issue, the writer contribution of the plugin is not being recognized.

If possible, could you check the following:

• Which npe2 version is in your environment ?
  • 0.8.2 is the latest, and I can confirm the issue does not occur there, both from the PyPi install and locally, perhaps worth checking if this solves the issue
• After opening the Keypoint controls widget at least once (Plugins > napari-deeplabcut > Keypoint controls), can you use the Help > Generate napari-dlc log menu to quickly get other relevant library versions?
  • No need to provide the log again, what you included above is already very helpful

I will check now whether this is a problem on npe2 0.8.1, as I see it is the latest version on conda. This could explain why it fails even on a fully rebuilt env, I will let you know.

Best,
Cyril

[C-Achard]

0.8.1 and 0.7.9 also seem to work, and napari 0.6.6 requires npe2 >= 0.7.9, which makes a version mismatch with npe2 less likely.
However, I do not see another explanation for the traceback, so knowing which version you have would be extremely helpful

[mikeumo]

here is the npe2 version:

(dlc3) mike@MacBook-Pro-4 MiceTesting % conda list | grep npe
npe2 0.8.2 pypi_0 pypi
(dlc3) mike@MacBook-Pro-4 MiceTesting % pip list | grep npe
npe2 0.8.2

[mikeumo]

I downgraded npe2 with

pip install npe2==0.8.1

I get same error when trying to save from napari:

DEBUG:napari_deeplabcut.core.io:FINAL WRITE first columns=[('Umorin', 'mouse_1', 'nose', 'x'), ('Umorin', 'mouse_1', 'nose', 'y'), ('Umorin', 'mouse_1', 'lower_jaw', 'x'), ('Umorin', 'mouse_1', 'lower_jaw', 'y'), ('Umorin', 'mouse_1', 'left_eye', 'x'), ('Umorin', 'mouse_1', 'left_eye', 'y'), ('Umorin', 'mouse_1', 'right_eye', 'x'), ('Umorin', 'mouse_1', 'right_eye', 'y'), ('Umorin', 'mouse_1', 'left_ear', 'x'), ('Umorin', 'mouse_1', 'left_ear', 'y')]
DEBUG:napari_deeplabcut.core.io:FINAL WRITE bodyparts unique=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
DEBUG:napari_deeplabcut.core.io:FINAL WRITE columns nlevels: 4
DEBUG:napari_deeplabcut.core.io:FINAL WRITE columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
DEBUG:napari_deeplabcut.core.io:FINAL WRITE individuals values: ['mouse_1', 'mouse_2']
Traceback (most recent call last):
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/_widgets.py", line 313, in
lambda: self._save_layers_dialog(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/_widgets.py", line 1217, in _save_layers_dialog
outcome = self._save_workflow.save_layers(selected=selected)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/ui/ui_dialogs/save.py", line 174, in save_layers
return self._save_single_points_layer(layer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/ui/ui_dialogs/save.py", line 302, in _save_single_points_layer
self.viewer.layers.save("dlc.h5", selected=True, plugin="napari-deeplabcut")
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/components/layerlist.py", line 543, in save
return save_layers(path, layers, plugin=plugin, _writer=_writer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/plugins/io.py", line 244, in save_layers
_written, writer_name = _write_single_layer_with_plugins(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari/plugins/io.py", line 475, in _write_single_layer_with_plugins
raise ValueError(
ValueError: There is no registered plugin named 'napari-deeplabcut'.
Plugins capable of writing layer._type_string layers are: set()

[mikeumo]

here is the full napari-dlc log:

Environment

• python: 3.12.13 | packaged by conda-forge | (main, Mar 5 2026, 17:06:14) [Clang 19.1.7 ]
• platform: macOS-26.5-arm64-arm-64bit
• napari-deeplabcut: 0.3.1.0
• napari: 0.6.6
• qtpy: 2.4.3
• PySide6: 6.11.1
• PyQt6: not-installed
• shiboken6: 6.11.1
• numpy: 1.26.4
• pydantic: 2.13.4
• plugin_module_path: /Users/mike/miniconda3/envs/dlc3/lib/python3.12/site-packages/napari_deeplabcut/init.py

Viewer

• n_layers: 2
• active_layer: CollectedData_Umorin

Layers

• [1] name='images', type=Image, visible=True
  • data_shape: (200, 1024, 1280, 3)
  • metadata_keys: ['dlc', 'paths', 'project', 'root']
  • property_keys: []
  • project: BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting
  • root: labeled-data/test_2_mice_run_2_part_002
  • paths_count: 200
  • has_header: False
  • has_tables: False
  • has_save_target: False
• [2] name='CollectedData_Umorin', type=Points, visible=True
  • data_shape: (1, 3)
  • metadata_keys: ['colormap_name', 'config_colormap', 'face_color_cycles', 'header', 'kind', 'name', 'paths', 'project', 'root', 'shape']
  • property_keys: ['id', 'label', 'likelihood', 'valid']
  • project: BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting
  • root: labeled-data/test_2_mice_run_2_part_002
  • paths_count: 200
  • has_header: True
  • has_tables: False
  • has_save_target: False

Recent plugin logs

02:31:12.722 | DEBUG    | napari_deeplabcut.ui.plots.trajectory | Loading trajectory plot DataFrame from layer: None
02:31:12.829 | DEBUG    | napari_deeplabcut.ui.plots.trajectory | Loading trajectory plot DataFrame from layer: None
02:31:12.872 | DEBUG    | napari_deeplabcut.core.layer_lifecycle.manager | Lifecycle manager adopting existing layers count=0
02:31:13.100 | DEBUG    | napari_deeplabcut.core.layer_lifecycle.manager | Lifecycle manager processing insert layer='images' type=Image index=0
02:31:13.101 | DEBUG    | napari_deeplabcut.core.layer_lifecycle.manager | Setup image layer='images' index=0 reorder=True paths_count=200 root='/Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting/labeled-data/test_2_mice_run_2_part_002' context_changed=True
02:31:13.101 | DEBUG    | napari_deeplabcut.ui.plots.trajectory | Loading trajectory plot DataFrame from layer: None
02:31:13.127 | DEBUG    | napari_deeplabcut.ui.plots.trajectory | Loading trajectory plot DataFrame from layer: None
02:31:13.271 | DEBUG    | napari_deeplabcut.core.layer_lifecycle.manager | Lifecycle manager processing insert layer='CollectedData_Umorin' type=Points index=1
02:31:13.282 | DEBUG    | napari_deeplabcut.core.keypoints | Requested 24 colors from a listed palette of length 12; cycling palette.
02:31:13.285 | DEBUG    | napari_deeplabcut._widgets | Setup points layer='CollectedData_Umorin' metadata_keys=['colormap_name', 'config_colormap', 'face_color_cycles', 'header', 'kind', 'paths', 'project', 'root']
02:31:13.285 | DEBUG    | napari_deeplabcut.core.layer_lifecycle.manager | Wire points layer='CollectedData_Umorin' existing_store=True project=/Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting root=/Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting/labeled-data/test_2_mice_run_2_part_002 len_paths=200
02:31:13.285 | DEBUG    | napari_deeplabcut.core.layer_lifecycle.manager | Setup points layer='CollectedData_Umorin' allow_merge=True metadata_keys=['colormap_name', 'config_colormap', 'face_color_cycles', 'header', 'kind', 'paths', 'project', 'root']
02:31:13.285 | DEBUG    | napari_deeplabcut.core.layer_lifecycle.manager | Remap start layer='CollectedData_Umorin' old_paths_len=200 new_paths_len=200 data_shape=(0, 3) frame_min=None frame_max=None
02:31:13.286 | DEBUG    | napari_deeplabcut.core.remap | Remap mapping stats: depth=3 old=200 new=200 mapped=200 identity=200 overlap=200
02:31:13.286 | DEBUG    | napari_deeplabcut.core.layer_lifecycle.manager | Remap result layer='CollectedData_Umorin' changed=False mapped_count=200 depth=3 message=Path keys already aligned; no remap needed. warnings=()
02:31:13.286 | DEBUG    | napari_deeplabcut.core.layer_lifecycle.manager | Remap accepted-noop for CollectedData_Umorin (depth=3, mapped=200): Path keys already aligned; no remap needed.
02:31:13.286 | DEBUG    | napari_deeplabcut.ui.plots.trajectory | Loading trajectory plot DataFrame from layer: None
02:31:13.289 | DEBUG    | napari_deeplabcut.ui.color_scheme_display | Skipping unavailable Points event 'shown' for layer='CollectedData_Umorin'
02:31:13.350 | DEBUG    | napari_deeplabcut.ui.plots.trajectory | Loading trajectory plot DataFrame from layer: None
02:31:13.358 | DEBUG    | napari_deeplabcut.ui.plots.trajectory | Loading trajectory plot DataFrame from layer: None
02:31:13.363 | DEBUG    | napari_deeplabcut.ui.plots.trajectory | Loading trajectory plot DataFrame from layer: None
02:31:13.397 | DEBUG    | napari_deeplabcut.core.keypoints | Requested 24 colors from a listed palette of length 12; cycling palette.
02:31:21.721 | DEBUG    | napari_deeplabcut.core.keypoints | Requested 24 colors from a listed palette of length 12; cycling palette.
02:31:21.721 | DEBUG    | napari_deeplabcut.ui.color_scheme_display | Updating color scheme display with 1 entries
02:31:21.723 | DEBUG    | napari_deeplabcut.core.keypoints | Requested 24 colors from a listed palette of length 12; cycling palette.
02:31:27.549 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:31:27.549 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:31:27.549 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:31:27.549 | DEBUG    | napari_deeplabcut._widgets | About to save. io.kind=None save_target=None
02:31:27.550 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:31:27.550 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:31:27.550 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:31:27.567 | DEBUG    | napari_deeplabcut.core.dataframes | Before reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:31:27.567 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:31:27.567 | DEBUG    | napari_deeplabcut.core.dataframes | After reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:31:27.568 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:31:27.569 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:31:27.569 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:31:27.569 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:31:27.571 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:31:27.571 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:31:27.571 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:31:27.571 | DEBUG    | napari_deeplabcut.core.io | HEADER nlevels: 4
02:31:27.572 | DEBUG    | napari_deeplabcut.core.io | HEADER names: ['scorer', 'individuals', 'bodyparts', 'coords']
02:31:27.572 | DEBUG    | napari_deeplabcut.core.io | WRITE header bodyparts=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
02:31:27.572 | DEBUG    | napari_deeplabcut.core.io | WRITE props labels unique=['nose']
02:31:27.574 | DEBUG    | napari_deeplabcut.core.dataframes | Before reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:31:27.574 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:31:27.574 | DEBUG    | napari_deeplabcut.core.dataframes | After reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:31:27.575 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:31:27.576 | DEBUG    | napari_deeplabcut.core.io | DF_NEW columns nlevels: 4
02:31:27.576 | DEBUG    | napari_deeplabcut.core.io | DF_NEW columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
02:31:27.576 | DEBUG    | napari_deeplabcut.core.io | DF_NEW finite count: 2
02:31:27.576 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:31:27.576 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:31:27.576 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:31:27.579 | DEBUG    | napari_deeplabcut.core.io | Resolved multianimalproject=True from config at /Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting/config.yaml
02:31:27.580 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE first columns=[('Umorin', 'mouse_1', 'nose', 'x'), ('Umorin', 'mouse_1', 'nose', 'y'), ('Umorin', 'mouse_1', 'lower_jaw', 'x'), ('Umorin', 'mouse_1', 'lower_jaw', 'y'), ('Umorin', 'mouse_1', 'left_eye', 'x'), ('Umorin', 'mouse_1', 'left_eye', 'y'), ('Umorin', 'mouse_1', 'right_eye', 'x'), ('Umorin', 'mouse_1', 'right_eye', 'y'), ('Umorin', 'mouse_1', 'left_ear', 'x'), ('Umorin', 'mouse_1', 'left_ear', 'y')]
02:31:27.580 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE bodyparts unique=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
02:31:27.580 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE columns nlevels: 4
02:31:27.580 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
02:31:27.580 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE individuals values: ['mouse_1', 'mouse_2']
02:37:54.694 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:37:54.694 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:37:54.694 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:37:54.694 | DEBUG    | napari_deeplabcut._widgets | About to save. io.kind=None save_target=None
02:37:54.696 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:37:54.696 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:37:54.696 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:37:54.703 | DEBUG    | napari_deeplabcut.core.dataframes | Before reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:54.703 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:54.704 | DEBUG    | napari_deeplabcut.core.dataframes | After reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:54.705 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:54.706 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:37:54.706 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:37:54.706 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:37:54.709 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:37:54.709 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:37:54.709 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:37:54.709 | DEBUG    | napari_deeplabcut.core.io | HEADER nlevels: 4
02:37:54.710 | DEBUG    | napari_deeplabcut.core.io | HEADER names: ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:54.710 | DEBUG    | napari_deeplabcut.core.io | WRITE header bodyparts=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
02:37:54.710 | DEBUG    | napari_deeplabcut.core.io | WRITE props labels unique=['nose']
02:37:54.714 | DEBUG    | napari_deeplabcut.core.dataframes | Before reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:54.714 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:54.714 | DEBUG    | napari_deeplabcut.core.dataframes | After reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:54.715 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:54.716 | DEBUG    | napari_deeplabcut.core.io | DF_NEW columns nlevels: 4
02:37:54.716 | DEBUG    | napari_deeplabcut.core.io | DF_NEW columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:54.716 | DEBUG    | napari_deeplabcut.core.io | DF_NEW finite count: 2
02:37:54.716 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:37:54.716 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:37:54.716 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:37:54.720 | DEBUG    | napari_deeplabcut.core.io | Resolved multianimalproject=True from config at /Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting/config.yaml
02:37:54.721 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE first columns=[('Umorin', 'mouse_1', 'nose', 'x'), ('Umorin', 'mouse_1', 'nose', 'y'), ('Umorin', 'mouse_1', 'lower_jaw', 'x'), ('Umorin', 'mouse_1', 'lower_jaw', 'y'), ('Umorin', 'mouse_1', 'left_eye', 'x'), ('Umorin', 'mouse_1', 'left_eye', 'y'), ('Umorin', 'mouse_1', 'right_eye', 'x'), ('Umorin', 'mouse_1', 'right_eye', 'y'), ('Umorin', 'mouse_1', 'left_ear', 'x'), ('Umorin', 'mouse_1', 'left_ear', 'y')]
02:37:54.721 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE bodyparts unique=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
02:37:54.721 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE columns nlevels: 4
02:37:54.721 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:54.721 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE individuals values: ['mouse_1', 'mouse_2']
02:37:57.978 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:37:57.978 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:37:57.978 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:37:57.978 | DEBUG    | napari_deeplabcut._widgets | About to save. io.kind=None save_target=None
02:37:57.979 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:37:57.979 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:37:57.979 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:37:57.986 | DEBUG    | napari_deeplabcut.core.dataframes | Before reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:57.986 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:57.987 | DEBUG    | napari_deeplabcut.core.dataframes | After reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:57.988 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:57.989 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:37:57.989 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:37:57.989 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:37:57.991 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:37:57.991 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:37:57.991 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:37:57.992 | DEBUG    | napari_deeplabcut.core.io | HEADER nlevels: 4
02:37:57.992 | DEBUG    | napari_deeplabcut.core.io | HEADER names: ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:57.993 | DEBUG    | napari_deeplabcut.core.io | WRITE header bodyparts=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
02:37:57.993 | DEBUG    | napari_deeplabcut.core.io | WRITE props labels unique=['nose']
02:37:57.996 | DEBUG    | napari_deeplabcut.core.dataframes | Before reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:57.996 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:57.997 | DEBUG    | napari_deeplabcut.core.dataframes | After reindex: cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:57.998 | DEBUG    | napari_deeplabcut.core.dataframes | header cols nlevels 4, names ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:57.998 | DEBUG    | napari_deeplabcut.core.io | DF_NEW columns nlevels: 4
02:37:57.999 | DEBUG    | napari_deeplabcut.core.io | DF_NEW columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:57.999 | DEBUG    | napari_deeplabcut.core.io | DF_NEW finite count: 2
02:37:57.999 | DEBUG    | napari_deeplabcut.core.metadata | Raw header type=<class 'dict'>
02:37:57.999 | DEBUG    | napari_deeplabcut.core.metadata | Raw header has columns=False
02:37:57.999 | DEBUG    | napari_deeplabcut.core.metadata | columns type=<class 'NoneType'>
02:37:58.003 | DEBUG    | napari_deeplabcut.core.io | Resolved multianimalproject=True from config at /Users/mike/Library/CloudStorage/Dropbox/Research Projects/BMS -- Umorin -- 2023 Winter -- AI for Pain Detection/MiceTesting/config.yaml
02:37:58.003 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE first columns=[('Umorin', 'mouse_1', 'nose', 'x'), ('Umorin', 'mouse_1', 'nose', 'y'), ('Umorin', 'mouse_1', 'lower_jaw', 'x'), ('Umorin', 'mouse_1', 'lower_jaw', 'y'), ('Umorin', 'mouse_1', 'left_eye', 'x'), ('Umorin', 'mouse_1', 'left_eye', 'y'), ('Umorin', 'mouse_1', 'right_eye', 'x'), ('Umorin', 'mouse_1', 'right_eye', 'y'), ('Umorin', 'mouse_1', 'left_ear', 'x'), ('Umorin', 'mouse_1', 'left_ear', 'y')]
02:37:58.004 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE bodyparts unique=['nose', 'lower_jaw', 'left_eye', 'right_eye', 'left_ear', 'right_ear', 'head_top', 'head_back', 'neck_lower', 'back_mid', 'back_lower', 'tail_base', 'tail_prox_third', 'tail_mid', 'tail_dist_third', 'tail_tip', 'left_elbow', 'left_paw', 'right_elbow', 'right_paw', 'left_knee', 'left_heel', 'right_knee', 'right_heel']
02:37:58.004 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE columns nlevels: 4
02:37:58.004 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE columns names: ['scorer', 'individuals', 'bodyparts', 'coords']
02:37:58.004 | DEBUG    | napari_deeplabcut.core.io | FINAL WRITE individuals values: ['mouse_1', 'mouse_2']

[mikeumo]

Also, as I try to save (Command-S) the napari/DLC creates a temporary 2KB file (CollectedData_Umorin.h5.tmp, I add only one point to save) in the relevant folder under 'labeled-data'. Then I get the error message above.
Also, I downgraded to npe2 == 0.7.9 but the same problem/error message remains
FYI

[C-Achard]

Thanks a lot @mikeumo, then most likely the issue is that the write is failing late, when we call to_hdf, and because the writer returns empty napari considers it to be unsuitable.

I'm working on a PR; I will share as soon as possible.

[C-Achard]

Actually, seeing the Dropbox path, it could be that the sync is attempting to upload the file, which makes the tmp file rename fail.
Could you confirm quickly whether this occurs outside of Dropbox?