diff options
| author | CoprDistGit <infra@openeuler.org> | 2023-05-18 04:59:28 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-05-18 04:59:28 +0000 |
| commit | 8788b58822dcfc9e8ff459368e432fba859c0e0b (patch) | |
| tree | 3aea3b3f201c9670191dc2d7a17dc1cf6d34822d | |
| parent | 22ce59be0d332723d069ea190492587bd1999c8d (diff) | |
automatic import of python-napari-skimage-regionprops
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-napari-skimage-regionprops.spec | 1101 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 1103 insertions, 0 deletions
@@ -0,0 +1 @@ +/napari-skimage-regionprops-0.10.0.tar.gz diff --git a/python-napari-skimage-regionprops.spec b/python-napari-skimage-regionprops.spec new file mode 100644 index 0000000..2cf69ba --- /dev/null +++ b/python-napari-skimage-regionprops.spec @@ -0,0 +1,1101 @@ +%global _empty_manifest_terminate_build 0 +Name: python-napari-skimage-regionprops +Version: 0.10.0 +Release: 1 +Summary: A regionprops table widget plugin for napari +License: BSD-3 +URL: https://github.com/haesleinhuepf/napari-skimage-regionprops +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1d/a6/cfa054ea2c2a1a5aaa8b112a385279ca1ea3682cebe958819e620dd9b8aa/napari-skimage-regionprops-0.10.0.tar.gz +BuildArch: noarch + +Requires: python3-napari-plugin-engine +Requires: python3-numpy +Requires: python3-scikit-image +Requires: python3-napari +Requires: python3-pandas +Requires: python3-napari-tools-menu +Requires: python3-napari-workflows +Requires: python3-imageio +Requires: python3-Deprecated + +%description +# napari-skimage-regionprops (nsr)
+
+
+
+[](https://github.com/haesleinhuepf/napari-skimage-regionprops/raw/master/LICENSE)
+
+[](https://pypi.org/project/napari-skimage-regionprops)
+
+[](https://python.org)
+
+[](https://github.com/haesleinhuepf/napari-skimage-regionprops/actions)
+
+[](https://codecov.io/gh/haesleinhuepf/napari-skimage-regionprops)
+
+[](https://en.wikipedia.org/wiki/Software_release_life_cycle#Alpha)
+
+[](https://napari-hub.org/plugins/napari-skimage-regionprops)
+
+
+
+
+
+A [napari] plugin for measuring properties of labeled objects based on [scikit-image]
+
+
+
+
+
+
+
+## Usage: measure region properties
+
+
+
+From the menu `Tools > Measurement > Regionprops (nsr)` you can open a dialog where you can choose an intensity image, a corresponding label image and the features you want to measure:
+
+
+
+
+
+
+
+If you want to interface with the labels and see which table row corresponds to which labeled object, use the label picker and
+
+activate the `show selected` checkbox.
+
+
+
+
+
+
+
+If you closed a table and want to reopen it, you can use the menu `Tools > Measurements > Show table (nsr)` to reopen it.
+
+You just need to select the labels layer the properties are associated with.
+
+
+
+For visualizing measurements with different grey values, as parametric images, you can double-click table headers.
+
+
+
+
+
+
+
+## Usage: measure point intensities
+
+
+
+Analogously, also the intensity and coordinates of point layers can be measured using the menu `Tools > Measurement > Measure intensity at point coordinates (nsr)`.
+
+Also these measurements can be visualized by double-clicking table headers:
+
+
+
+
+
+
+
+
+
+
+
+## Working with time-lapse and tracking data
+
+
+
+Note that tables for time-lapse data should include a column named "frame", which indicates which slice in
+
+time the given row refers to. If you want to import your own csv files for time-lapse data make sure to include this column.
+
+If you have tracking data where each column specifies measurements for a track instead of a label at a specific time point,
+
+this column must not be added.
+
+
+
+In case you have 2D time-lapse data you need to convert it into a suitable shape using the function: `Tools > Utilities > Convert 3D stack to 2D time-lapse (time-slicer)`,
+
+which can be found in the [napari time slicer](https://www.napari-hub.org/plugins/napari-time-slicer).
+
+
+
+Last but not least, make sure that in case of time-lapse data the label image has labels that are subsquently labeled per timepoint.
+
+E.g. a dataset where label 5 is missing at timepoint 4 may be visualized incorrectly.
+
+
+
+## Usage: multichannel or multi-label data
+
+
+
+If you want to relate objects from one channels to objects from another channel, you can use `Tools > Measurement tables > Object Features/Properties (scikit-image, nsr)`.
+
+This plugin module allos you to answer questions like:
+
+ - how many objects I have inside other objects?
+
+ - what is the average intensity of the objects inside other objects?
+
+For that, you need at least two labeled images in napari. You can relate objects along with their features.
+
+If intensity features are also wanted, then you also need to provide two intensity images.
+
+Below, there is a small example on how to use it.
+
+Also, take a look at [this example notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/measure_things_inside_things_plugin.ipynb).
+
+
+
+ 
+
+
+
+## Usage, programmatically
+
+
+
+You can also control the tables programmatically. See this
+
+[example notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/tables.ipynb) for details on regionprops and
+
+[this example notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/measure_points.ipynb) for details on measuring intensity at point coordinates. For creating parametric map images, see [this notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/map_measurements.ipynb).
+
+
+
+
+
+## Features
+
+The user can select categories of features for feature extraction in the user interface. These categories contain measurements from the scikit-image [regionprops list of measurements](https://scikit-image.org/docs/dev/api/skimage.measure.html#skimage.measure.regionprops) library:
+
+* size:
+
+ * area
+
+ * bbox_area
+
+ * convex_area
+
+ * equivalent_diameter
+
+* intensity:
+
+ * max_intensity
+
+ * mean_intensity
+
+ * min_intensity
+
+ * standard_deviation_intensity (`extra_properties` implementation using numpy)
+
+* perimeter:
+
+ * perimeter
+
+ * perimeter_crofton
+
+* shape
+
+ * major_axis_length
+
+ * minor_axis_length
+
+ * orientation
+
+ * solidity
+
+ * eccentricity
+
+ * extent
+
+ * feret_diameter_max
+
+ * local_centroid
+
+ * roundness as defined for 2D labels [by ImageJ](https://imagej.nih.gov/ij/docs/menus/analyze.html#set)
+
+ * circularity as defined for 2D labels [by ImageJ](https://imagej.nih.gov/ij/docs/menus/analyze.html#set)
+
+ * aspect_ratio as defined for 2D labels [by ImageJ](https://imagej.nih.gov/ij/docs/menus/analyze.html#set)
+
+* position:
+
+ * centroid
+
+ * bbox
+
+ * weighted_centroid
+
+* moments:
+
+ * moments
+
+ * moments_central
+
+ * moments_hu
+
+ * moments_normalized
+
+
+
+
+
+
+
+This [napari] plugin was generated with [Cookiecutter] using with [@napari]'s [cookiecutter-napari-plugin] template.
+
+
+
+## See also
+
+
+
+There are other napari plugins with similar functionality for extracting features:
+
+* [morphometrics](https://www.napari-hub.org/plugins/morphometrics)
+
+* [PartSeg](https://www.napari-hub.org/plugins/PartSeg)
+
+* [napari-simpleitk-image-processing](https://www.napari-hub.org/plugins/napari-simpleitk-image-processing)
+
+* [napari-cupy-image-processing](https://www.napari-hub.org/plugins/napari-cupy-image-processing)
+
+* [napari-pyclesperanto-assistant](https://www.napari-hub.org/plugins/napari-pyclesperanto-assistant)
+
+
+
+Furthermore, there are plugins for postprocessing extracted measurements
+
+* [napari-feature-classifier](https://www.napari-hub.org/plugins/napari-feature-classifier)
+
+* [napari-clusters-plotter](https://www.napari-hub.org/plugins/napari-clusters-plotter)
+
+* [napari-accelerated-pixel-and-object-classification](https://www.napari-hub.org/plugins/napari-accelerated-pixel-and-object-classification)
+
+
+
+## Installation
+
+
+
+You can install `napari-skimage-regionprops` via [pip]:
+
+
+
+ pip install napari-skimage-regionprops
+
+
+
+Or if you plan to develop it:
+
+
+
+ git clone https://github.com/haesleinhuepf/napari-skimage-regionprops
+
+ cd napari-skimage-regionprops
+
+ pip install -e .
+
+
+
+If there is an error message suggesting that git is not installed, run `conda install git`.
+
+
+
+## Contributing
+
+
+
+Contributions are very welcome. Tests can be run with [tox], please ensure
+
+the coverage at least stays the same before you submit a pull request.
+
+
+
+## License
+
+
+
+Distributed under the terms of the [BSD-3] license,
+
+"napari-skimage-regionprops" is free and open source software
+
+
+
+## Issues
+
+
+
+If you encounter any problems, please create a thread on [image.sc] along with a detailed description and tag [@haesleinhuepf].
+
+
+
+[napari]: https://github.com/napari/napari
+
+[Cookiecutter]: https://github.com/audreyr/cookiecutter
+
+[@napari]: https://github.com/napari
+
+[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
+
+[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin
+
+[image.sc]: https://image.sc
+
+[napari]: https://github.com/napari/napari
+
+[tox]: https://tox.readthedocs.io/en/latest/
+
+[pip]: https://pypi.org/project/pip/
+
+[PyPI]: https://pypi.org/
+
+[scikit-image]: https://scikit-image.org/
+
+[@haesleinhuepf]: https://twitter.com/haesleinhuepf
+
+ + +%package -n python3-napari-skimage-regionprops +Summary: A regionprops table widget plugin for napari +Provides: python-napari-skimage-regionprops +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-napari-skimage-regionprops +# napari-skimage-regionprops (nsr)
+
+
+
+[](https://github.com/haesleinhuepf/napari-skimage-regionprops/raw/master/LICENSE)
+
+[](https://pypi.org/project/napari-skimage-regionprops)
+
+[](https://python.org)
+
+[](https://github.com/haesleinhuepf/napari-skimage-regionprops/actions)
+
+[](https://codecov.io/gh/haesleinhuepf/napari-skimage-regionprops)
+
+[](https://en.wikipedia.org/wiki/Software_release_life_cycle#Alpha)
+
+[](https://napari-hub.org/plugins/napari-skimage-regionprops)
+
+
+
+
+
+A [napari] plugin for measuring properties of labeled objects based on [scikit-image]
+
+
+
+
+
+
+
+## Usage: measure region properties
+
+
+
+From the menu `Tools > Measurement > Regionprops (nsr)` you can open a dialog where you can choose an intensity image, a corresponding label image and the features you want to measure:
+
+
+
+
+
+
+
+If you want to interface with the labels and see which table row corresponds to which labeled object, use the label picker and
+
+activate the `show selected` checkbox.
+
+
+
+
+
+
+
+If you closed a table and want to reopen it, you can use the menu `Tools > Measurements > Show table (nsr)` to reopen it.
+
+You just need to select the labels layer the properties are associated with.
+
+
+
+For visualizing measurements with different grey values, as parametric images, you can double-click table headers.
+
+
+
+
+
+
+
+## Usage: measure point intensities
+
+
+
+Analogously, also the intensity and coordinates of point layers can be measured using the menu `Tools > Measurement > Measure intensity at point coordinates (nsr)`.
+
+Also these measurements can be visualized by double-clicking table headers:
+
+
+
+
+
+
+
+
+
+
+
+## Working with time-lapse and tracking data
+
+
+
+Note that tables for time-lapse data should include a column named "frame", which indicates which slice in
+
+time the given row refers to. If you want to import your own csv files for time-lapse data make sure to include this column.
+
+If you have tracking data where each column specifies measurements for a track instead of a label at a specific time point,
+
+this column must not be added.
+
+
+
+In case you have 2D time-lapse data you need to convert it into a suitable shape using the function: `Tools > Utilities > Convert 3D stack to 2D time-lapse (time-slicer)`,
+
+which can be found in the [napari time slicer](https://www.napari-hub.org/plugins/napari-time-slicer).
+
+
+
+Last but not least, make sure that in case of time-lapse data the label image has labels that are subsquently labeled per timepoint.
+
+E.g. a dataset where label 5 is missing at timepoint 4 may be visualized incorrectly.
+
+
+
+## Usage: multichannel or multi-label data
+
+
+
+If you want to relate objects from one channels to objects from another channel, you can use `Tools > Measurement tables > Object Features/Properties (scikit-image, nsr)`.
+
+This plugin module allos you to answer questions like:
+
+ - how many objects I have inside other objects?
+
+ - what is the average intensity of the objects inside other objects?
+
+For that, you need at least two labeled images in napari. You can relate objects along with their features.
+
+If intensity features are also wanted, then you also need to provide two intensity images.
+
+Below, there is a small example on how to use it.
+
+Also, take a look at [this example notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/measure_things_inside_things_plugin.ipynb).
+
+
+
+ 
+
+
+
+## Usage, programmatically
+
+
+
+You can also control the tables programmatically. See this
+
+[example notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/tables.ipynb) for details on regionprops and
+
+[this example notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/measure_points.ipynb) for details on measuring intensity at point coordinates. For creating parametric map images, see [this notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/map_measurements.ipynb).
+
+
+
+
+
+## Features
+
+The user can select categories of features for feature extraction in the user interface. These categories contain measurements from the scikit-image [regionprops list of measurements](https://scikit-image.org/docs/dev/api/skimage.measure.html#skimage.measure.regionprops) library:
+
+* size:
+
+ * area
+
+ * bbox_area
+
+ * convex_area
+
+ * equivalent_diameter
+
+* intensity:
+
+ * max_intensity
+
+ * mean_intensity
+
+ * min_intensity
+
+ * standard_deviation_intensity (`extra_properties` implementation using numpy)
+
+* perimeter:
+
+ * perimeter
+
+ * perimeter_crofton
+
+* shape
+
+ * major_axis_length
+
+ * minor_axis_length
+
+ * orientation
+
+ * solidity
+
+ * eccentricity
+
+ * extent
+
+ * feret_diameter_max
+
+ * local_centroid
+
+ * roundness as defined for 2D labels [by ImageJ](https://imagej.nih.gov/ij/docs/menus/analyze.html#set)
+
+ * circularity as defined for 2D labels [by ImageJ](https://imagej.nih.gov/ij/docs/menus/analyze.html#set)
+
+ * aspect_ratio as defined for 2D labels [by ImageJ](https://imagej.nih.gov/ij/docs/menus/analyze.html#set)
+
+* position:
+
+ * centroid
+
+ * bbox
+
+ * weighted_centroid
+
+* moments:
+
+ * moments
+
+ * moments_central
+
+ * moments_hu
+
+ * moments_normalized
+
+
+
+
+
+
+
+This [napari] plugin was generated with [Cookiecutter] using with [@napari]'s [cookiecutter-napari-plugin] template.
+
+
+
+## See also
+
+
+
+There are other napari plugins with similar functionality for extracting features:
+
+* [morphometrics](https://www.napari-hub.org/plugins/morphometrics)
+
+* [PartSeg](https://www.napari-hub.org/plugins/PartSeg)
+
+* [napari-simpleitk-image-processing](https://www.napari-hub.org/plugins/napari-simpleitk-image-processing)
+
+* [napari-cupy-image-processing](https://www.napari-hub.org/plugins/napari-cupy-image-processing)
+
+* [napari-pyclesperanto-assistant](https://www.napari-hub.org/plugins/napari-pyclesperanto-assistant)
+
+
+
+Furthermore, there are plugins for postprocessing extracted measurements
+
+* [napari-feature-classifier](https://www.napari-hub.org/plugins/napari-feature-classifier)
+
+* [napari-clusters-plotter](https://www.napari-hub.org/plugins/napari-clusters-plotter)
+
+* [napari-accelerated-pixel-and-object-classification](https://www.napari-hub.org/plugins/napari-accelerated-pixel-and-object-classification)
+
+
+
+## Installation
+
+
+
+You can install `napari-skimage-regionprops` via [pip]:
+
+
+
+ pip install napari-skimage-regionprops
+
+
+
+Or if you plan to develop it:
+
+
+
+ git clone https://github.com/haesleinhuepf/napari-skimage-regionprops
+
+ cd napari-skimage-regionprops
+
+ pip install -e .
+
+
+
+If there is an error message suggesting that git is not installed, run `conda install git`.
+
+
+
+## Contributing
+
+
+
+Contributions are very welcome. Tests can be run with [tox], please ensure
+
+the coverage at least stays the same before you submit a pull request.
+
+
+
+## License
+
+
+
+Distributed under the terms of the [BSD-3] license,
+
+"napari-skimage-regionprops" is free and open source software
+
+
+
+## Issues
+
+
+
+If you encounter any problems, please create a thread on [image.sc] along with a detailed description and tag [@haesleinhuepf].
+
+
+
+[napari]: https://github.com/napari/napari
+
+[Cookiecutter]: https://github.com/audreyr/cookiecutter
+
+[@napari]: https://github.com/napari
+
+[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
+
+[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin
+
+[image.sc]: https://image.sc
+
+[napari]: https://github.com/napari/napari
+
+[tox]: https://tox.readthedocs.io/en/latest/
+
+[pip]: https://pypi.org/project/pip/
+
+[PyPI]: https://pypi.org/
+
+[scikit-image]: https://scikit-image.org/
+
+[@haesleinhuepf]: https://twitter.com/haesleinhuepf
+
+ + +%package help +Summary: Development documents and examples for napari-skimage-regionprops +Provides: python3-napari-skimage-regionprops-doc +%description help +# napari-skimage-regionprops (nsr)
+
+
+
+[](https://github.com/haesleinhuepf/napari-skimage-regionprops/raw/master/LICENSE)
+
+[](https://pypi.org/project/napari-skimage-regionprops)
+
+[](https://python.org)
+
+[](https://github.com/haesleinhuepf/napari-skimage-regionprops/actions)
+
+[](https://codecov.io/gh/haesleinhuepf/napari-skimage-regionprops)
+
+[](https://en.wikipedia.org/wiki/Software_release_life_cycle#Alpha)
+
+[](https://napari-hub.org/plugins/napari-skimage-regionprops)
+
+
+
+
+
+A [napari] plugin for measuring properties of labeled objects based on [scikit-image]
+
+
+
+
+
+
+
+## Usage: measure region properties
+
+
+
+From the menu `Tools > Measurement > Regionprops (nsr)` you can open a dialog where you can choose an intensity image, a corresponding label image and the features you want to measure:
+
+
+
+
+
+
+
+If you want to interface with the labels and see which table row corresponds to which labeled object, use the label picker and
+
+activate the `show selected` checkbox.
+
+
+
+
+
+
+
+If you closed a table and want to reopen it, you can use the menu `Tools > Measurements > Show table (nsr)` to reopen it.
+
+You just need to select the labels layer the properties are associated with.
+
+
+
+For visualizing measurements with different grey values, as parametric images, you can double-click table headers.
+
+
+
+
+
+
+
+## Usage: measure point intensities
+
+
+
+Analogously, also the intensity and coordinates of point layers can be measured using the menu `Tools > Measurement > Measure intensity at point coordinates (nsr)`.
+
+Also these measurements can be visualized by double-clicking table headers:
+
+
+
+
+
+
+
+
+
+
+
+## Working with time-lapse and tracking data
+
+
+
+Note that tables for time-lapse data should include a column named "frame", which indicates which slice in
+
+time the given row refers to. If you want to import your own csv files for time-lapse data make sure to include this column.
+
+If you have tracking data where each column specifies measurements for a track instead of a label at a specific time point,
+
+this column must not be added.
+
+
+
+In case you have 2D time-lapse data you need to convert it into a suitable shape using the function: `Tools > Utilities > Convert 3D stack to 2D time-lapse (time-slicer)`,
+
+which can be found in the [napari time slicer](https://www.napari-hub.org/plugins/napari-time-slicer).
+
+
+
+Last but not least, make sure that in case of time-lapse data the label image has labels that are subsquently labeled per timepoint.
+
+E.g. a dataset where label 5 is missing at timepoint 4 may be visualized incorrectly.
+
+
+
+## Usage: multichannel or multi-label data
+
+
+
+If you want to relate objects from one channels to objects from another channel, you can use `Tools > Measurement tables > Object Features/Properties (scikit-image, nsr)`.
+
+This plugin module allos you to answer questions like:
+
+ - how many objects I have inside other objects?
+
+ - what is the average intensity of the objects inside other objects?
+
+For that, you need at least two labeled images in napari. You can relate objects along with their features.
+
+If intensity features are also wanted, then you also need to provide two intensity images.
+
+Below, there is a small example on how to use it.
+
+Also, take a look at [this example notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/measure_things_inside_things_plugin.ipynb).
+
+
+
+ 
+
+
+
+## Usage, programmatically
+
+
+
+You can also control the tables programmatically. See this
+
+[example notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/tables.ipynb) for details on regionprops and
+
+[this example notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/measure_points.ipynb) for details on measuring intensity at point coordinates. For creating parametric map images, see [this notebook](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/demo/map_measurements.ipynb).
+
+
+
+
+
+## Features
+
+The user can select categories of features for feature extraction in the user interface. These categories contain measurements from the scikit-image [regionprops list of measurements](https://scikit-image.org/docs/dev/api/skimage.measure.html#skimage.measure.regionprops) library:
+
+* size:
+
+ * area
+
+ * bbox_area
+
+ * convex_area
+
+ * equivalent_diameter
+
+* intensity:
+
+ * max_intensity
+
+ * mean_intensity
+
+ * min_intensity
+
+ * standard_deviation_intensity (`extra_properties` implementation using numpy)
+
+* perimeter:
+
+ * perimeter
+
+ * perimeter_crofton
+
+* shape
+
+ * major_axis_length
+
+ * minor_axis_length
+
+ * orientation
+
+ * solidity
+
+ * eccentricity
+
+ * extent
+
+ * feret_diameter_max
+
+ * local_centroid
+
+ * roundness as defined for 2D labels [by ImageJ](https://imagej.nih.gov/ij/docs/menus/analyze.html#set)
+
+ * circularity as defined for 2D labels [by ImageJ](https://imagej.nih.gov/ij/docs/menus/analyze.html#set)
+
+ * aspect_ratio as defined for 2D labels [by ImageJ](https://imagej.nih.gov/ij/docs/menus/analyze.html#set)
+
+* position:
+
+ * centroid
+
+ * bbox
+
+ * weighted_centroid
+
+* moments:
+
+ * moments
+
+ * moments_central
+
+ * moments_hu
+
+ * moments_normalized
+
+
+
+
+
+
+
+This [napari] plugin was generated with [Cookiecutter] using with [@napari]'s [cookiecutter-napari-plugin] template.
+
+
+
+## See also
+
+
+
+There are other napari plugins with similar functionality for extracting features:
+
+* [morphometrics](https://www.napari-hub.org/plugins/morphometrics)
+
+* [PartSeg](https://www.napari-hub.org/plugins/PartSeg)
+
+* [napari-simpleitk-image-processing](https://www.napari-hub.org/plugins/napari-simpleitk-image-processing)
+
+* [napari-cupy-image-processing](https://www.napari-hub.org/plugins/napari-cupy-image-processing)
+
+* [napari-pyclesperanto-assistant](https://www.napari-hub.org/plugins/napari-pyclesperanto-assistant)
+
+
+
+Furthermore, there are plugins for postprocessing extracted measurements
+
+* [napari-feature-classifier](https://www.napari-hub.org/plugins/napari-feature-classifier)
+
+* [napari-clusters-plotter](https://www.napari-hub.org/plugins/napari-clusters-plotter)
+
+* [napari-accelerated-pixel-and-object-classification](https://www.napari-hub.org/plugins/napari-accelerated-pixel-and-object-classification)
+
+
+
+## Installation
+
+
+
+You can install `napari-skimage-regionprops` via [pip]:
+
+
+
+ pip install napari-skimage-regionprops
+
+
+
+Or if you plan to develop it:
+
+
+
+ git clone https://github.com/haesleinhuepf/napari-skimage-regionprops
+
+ cd napari-skimage-regionprops
+
+ pip install -e .
+
+
+
+If there is an error message suggesting that git is not installed, run `conda install git`.
+
+
+
+## Contributing
+
+
+
+Contributions are very welcome. Tests can be run with [tox], please ensure
+
+the coverage at least stays the same before you submit a pull request.
+
+
+
+## License
+
+
+
+Distributed under the terms of the [BSD-3] license,
+
+"napari-skimage-regionprops" is free and open source software
+
+
+
+## Issues
+
+
+
+If you encounter any problems, please create a thread on [image.sc] along with a detailed description and tag [@haesleinhuepf].
+
+
+
+[napari]: https://github.com/napari/napari
+
+[Cookiecutter]: https://github.com/audreyr/cookiecutter
+
+[@napari]: https://github.com/napari
+
+[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
+
+[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin
+
+[image.sc]: https://image.sc
+
+[napari]: https://github.com/napari/napari
+
+[tox]: https://tox.readthedocs.io/en/latest/
+
+[pip]: https://pypi.org/project/pip/
+
+[PyPI]: https://pypi.org/
+
+[scikit-image]: https://scikit-image.org/
+
+[@haesleinhuepf]: https://twitter.com/haesleinhuepf
+
+ + +%prep +%autosetup -n napari-skimage-regionprops-0.10.0 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-napari-skimage-regionprops -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.10.0-1 +- Package Spec generated @@ -0,0 +1 @@ +a20cd6a93f76957e703023e8d7743a20 napari-skimage-regionprops-0.10.0.tar.gz |