acquifer-napari


Nameacquifer-napari JSON
Version 0.0.2 PyPI version JSON
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SummaryLoader plugin for napari, to load Acquifer Imaging Machine datasets in napari, using dask for efficient lazy data-loading.
upload_time2024-02-27 11:18:26
maintainer
docs_urlNone
authorLaurent Thomas
requires_python>=3.7
licenseGPL-3.0-only
keywords
VCS
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requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # acquifer-napari

The acquifer-napari plugin allows loading IM04 dataset directory, as multi-dimensional images in napari.  
Sliders for well, channel, time and Z are automatically rendered when there are more than 1 coordinates along the dimension.  
The plugin uses Dask-Image for efficient data-loading "on request" similar to the VirtualStack in ImageJ.  

## Installation
Via the napari plugin manager : acquifer-napari.
Or with pip : `pip install acquifer-napari`.

Use `pip install -e .` to install in developement mode, so any change in the source code is directly reflected.  
Use `npe2 list` to check that the plugin is correctly installed and visible by napari.  
For instance here, the package defines 1 command, which is a reader.  
One could have more commands, which would be implement other types.   
This should output something like following 
┌──────────────────────────────┬─────────┬──────┬───────────────────────────────────────────────────────────┐
│ Name                         │ Version │ Npe2 │ Contributions                                             │
├──────────────────────────────┼─────────┼──────┼───────────────────────────────────────────────────────────┤
│ acquifer-napari              │ 0.0.1   │ ✅   │ commands (1), readers (1)

The plugin should be installed in an environment with napari installed.  
Napari can be started with the `napari`command in a command prompt with a system wide python installation.  
Once installed, napari can be opened in a IPython interactive session with

```python
>> import napari
>> napari.Viewer()
```

## Configurations
The file `napari.yaml` in `acquifer_napari_plugin` defines what functions of the python package are visible to napari.  
The top level `name` field must be the same than the python package name defined in `setup.cfg`.
It first define a set of commands, which have a custom `id`, and a `python_name`, which is the actual location of the function in the python package (or module).  
Then the napari.yaml has optional subsections `readers`, `writers`, `widget`, to reference some of the commands previously defined, to notify napari that they implemente those standard functions.  
For instance I first define a command myReader pointing to myPackage.myReader, and I reference that command using the id it in the section readers  
See https://napari.org/stable/plugins/first_plugin.html#add-a-napari-yaml-manifest  


## Issues
If you encounter any problems, please [file an issue](https://github.com/Luxendo/acquifer-napari/issues) along with a detailed description.

            

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    "description": "# acquifer-napari\r\n\r\nThe acquifer-napari plugin allows loading IM04 dataset directory, as multi-dimensional images in napari.  \r\nSliders for well, channel, time and Z are automatically rendered when there are more than 1 coordinates along the dimension.  \r\nThe plugin uses Dask-Image for efficient data-loading \"on request\" similar to the VirtualStack in ImageJ.  \r\n\r\n## Installation\r\nVia the napari plugin manager : acquifer-napari.\r\nOr with pip : `pip install acquifer-napari`.\r\n\r\nUse `pip install -e .` to install in developement mode, so any change in the source code is directly reflected.  \r\nUse `npe2 list` to check that the plugin is correctly installed and visible by napari.  \r\nFor instance here, the package defines 1 command, which is a reader.  \r\nOne could have more commands, which would be implement other types.   \r\nThis should output something like following \r\n\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510\r\n\u2502 Name                         \u2502 Version \u2502 Npe2 \u2502 Contributions                                             \u2502\r\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\r\n\u2502 acquifer-napari              \u2502 0.0.1   \u2502 \u2705   \u2502 commands (1), readers (1)\r\n\r\nThe plugin should be installed in an environment with napari installed.  \r\nNapari can be started with the `napari`command in a command prompt with a system wide python installation.  \r\nOnce installed, napari can be opened in a IPython interactive session with\r\n\r\n```python\r\n>> import napari\r\n>> napari.Viewer()\r\n```\r\n\r\n## Configurations\r\nThe file `napari.yaml` in `acquifer_napari_plugin` defines what functions of the python package are visible to napari.  \r\nThe top level `name` field must be the same than the python package name defined in `setup.cfg`.\r\nIt first define a set of commands, which have a custom `id`, and a `python_name`, which is the actual location of the function in the python package (or module).  \r\nThen the napari.yaml has optional subsections `readers`, `writers`, `widget`, to reference some of the commands previously defined, to notify napari that they implemente those standard functions.  \r\nFor instance I first define a command myReader pointing to myPackage.myReader, and I reference that command using the id it in the section readers  \r\nSee https://napari.org/stable/plugins/first_plugin.html#add-a-napari-yaml-manifest  \r\n\r\n\r\n## Issues\r\nIf you encounter any problems, please [file an issue](https://github.com/Luxendo/acquifer-napari/issues) along with a detailed description.\r\n",
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