automatic import of python-mpl-image-labeller

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+/mpl_image_labeller-1.1.2.tar.gz
diff --git a/python-mpl-image-labeller.spec b/python-mpl-image-labeller.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-mpl-image-labeller
+Version:	1.1.2
+Release:	1
+Summary:	Use interactive matplotlib to label images for classification
+License:	BSD-3-Clause
+URL:		https://mpl-image-labeller.rtfd.io
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b2/a4/147e4bc6074e648908c10cf6b39ebd6dcd176752715825be2056c86efc01/mpl_image_labeller-1.1.2.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-matplotlib
+Requires:	python3-black
+Requires:	python3-flake8
+Requires:	python3-flake8-docstrings
+Requires:	python3-ipython
+Requires:	python3-isort
+Requires:	python3-jedi
+Requires:	python3-mypy
+Requires:	python3-pre-commit
+Requires:	python3-pydocstyle
+Requires:	python3-pytest
+Requires:	python3-Sphinx
+Requires:	python3-jupyter-sphinx
+Requires:	python3-myst-nb
+Requires:	python3-numpydoc
+Requires:	python3-sphinx-book-theme
+Requires:	python3-sphinx-copybutton
+Requires:	python3-sphinx-panels
+Requires:	python3-sphinx-thebe
+Requires:	python3-sphinx-togglebutton
+Requires:	python3-pytest
+
+%description
+# mpl-image-labeller
+
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ianhi/mpl-image-labeller/main?urlpath=lab/tree/docs/examples)
+[![Documentation Status](https://readthedocs.org/projects/mpl-image-labeller/badge/?version=stable)](https://mpl-image-labeller.readthedocs.io/en/stable/?badge=stable)
+
+
+[![License](https://img.shields.io/pypi/l/mpl-image-labeller.svg?color=green)](https://github.com/ianhi/mpl-image-labeller/raw/master/LICENSE)
+[![PyPI](https://img.shields.io/pypi/v/mpl-image-labeller.svg?color=green)](https://pypi.org/project/mpl-image-labeller)
+[![Python Version](https://img.shields.io/pypi/pyversions/mpl-image-labeller.svg?color=green)](https://python.org)
+
+Use Matplotlib to label images for classification. Works anywhere Matplotlib does - from the notebook to a standalone gui!
+
+For more see the [documentation](https://mpl-image-labeller.readthedocs.io/en/stable/?badge=stable).
+
+## Install
+
+```bash
+pip install mpl-image-labeller
+```
+## Key features
+- Simple interface
+- Uses keys instead of mouse
+- Only depends on Matplotlib
+    - Works anywhere - from inside Jupyter to any supported GUI framework
+- Displays images with correct aspect ratio
+- Easily configurable keymap
+- Smart interactions with default Matplotlib keymap
+- Callback System (see `examples/callbacks.py`)
+
+**single class per image**
+
+![gif of usage for labelling images of cats and dogs](docs/_static/single_class.gif)
+
+**multiple classes per image**
+
+![gif of usage for labelling images of cats and dogs](docs/_static/multi_class.gif)
+
+## Usage
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_image_labeller import image_labeller
+
+images = np.random.randn(5, 10, 10)
+labeller = image_labeller(
+    images, classes=["good", "bad", "meh"], label_keymap=["a", "s", "d"]
+)
+plt.show()
+```
+
+**accessing the axis**
+You can further modify the image (e.g. add masks over them) by using the plotting methods on
+axis object accessible by `labeller.ax`.
+
+**Lazy Loading Images**
+If you want to lazy load your images you can provide a function to give the images. This function should take
+the integer `idx` as an argument and return the image that corresponds to that index. If you do this then you
+must also provide `N_images` in the constructor to let the object know how many images it should expect. See `examples/lazy_loading.py` for an example.
+
+### Controls
+
+- `<-` move one image back
+- `->` move one image forward
+
+To label images use the keys defined in the `label_keymap` argument - default 0, 1, 2...
+
+
+Get the labels by accessing the `labels` property.
+
+### Overwriting default keymap
+Matplotlib has default keybindings that it applied to all figures via `rcparams.keymap` that allow for actions such as `s` to save or `q` to quit. If you inlcude one of these keys as a shortcut for labelling as a class then that default keymap will be disabled for that figure.
+
+
+## Related Projects
+
+This is not the first project to implement easy image labelling but seems to be the first to do so entirely in Matplotlib. The below
+projects implement varying degrees of complexity and/or additional features in different frameworks.
+
+- https://github.com/wbwvos/pidgey
+- https://github.com/agermanidis/pigeon
+- https://github.com/Serhiy-Shekhovtsov/tkteach
+- https://github.com/robertbrada/PyQt-image-annotation-tool
+- https://github.com/Cartucho/OpenLabeling
+
+
+%package -n python3-mpl-image-labeller
+Summary:	Use interactive matplotlib to label images for classification
+Provides:	python-mpl-image-labeller
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-mpl-image-labeller
+# mpl-image-labeller
+
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ianhi/mpl-image-labeller/main?urlpath=lab/tree/docs/examples)
+[![Documentation Status](https://readthedocs.org/projects/mpl-image-labeller/badge/?version=stable)](https://mpl-image-labeller.readthedocs.io/en/stable/?badge=stable)
+
+
+[![License](https://img.shields.io/pypi/l/mpl-image-labeller.svg?color=green)](https://github.com/ianhi/mpl-image-labeller/raw/master/LICENSE)
+[![PyPI](https://img.shields.io/pypi/v/mpl-image-labeller.svg?color=green)](https://pypi.org/project/mpl-image-labeller)
+[![Python Version](https://img.shields.io/pypi/pyversions/mpl-image-labeller.svg?color=green)](https://python.org)
+
+Use Matplotlib to label images for classification. Works anywhere Matplotlib does - from the notebook to a standalone gui!
+
+For more see the [documentation](https://mpl-image-labeller.readthedocs.io/en/stable/?badge=stable).
+
+## Install
+
+```bash
+pip install mpl-image-labeller
+```
+## Key features
+- Simple interface
+- Uses keys instead of mouse
+- Only depends on Matplotlib
+    - Works anywhere - from inside Jupyter to any supported GUI framework
+- Displays images with correct aspect ratio
+- Easily configurable keymap
+- Smart interactions with default Matplotlib keymap
+- Callback System (see `examples/callbacks.py`)
+
+**single class per image**
+
+![gif of usage for labelling images of cats and dogs](docs/_static/single_class.gif)
+
+**multiple classes per image**
+
+![gif of usage for labelling images of cats and dogs](docs/_static/multi_class.gif)
+
+## Usage
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_image_labeller import image_labeller
+
+images = np.random.randn(5, 10, 10)
+labeller = image_labeller(
+    images, classes=["good", "bad", "meh"], label_keymap=["a", "s", "d"]
+)
+plt.show()
+```
+
+**accessing the axis**
+You can further modify the image (e.g. add masks over them) by using the plotting methods on
+axis object accessible by `labeller.ax`.
+
+**Lazy Loading Images**
+If you want to lazy load your images you can provide a function to give the images. This function should take
+the integer `idx` as an argument and return the image that corresponds to that index. If you do this then you
+must also provide `N_images` in the constructor to let the object know how many images it should expect. See `examples/lazy_loading.py` for an example.
+
+### Controls
+
+- `<-` move one image back
+- `->` move one image forward
+
+To label images use the keys defined in the `label_keymap` argument - default 0, 1, 2...
+
+
+Get the labels by accessing the `labels` property.
+
+### Overwriting default keymap
+Matplotlib has default keybindings that it applied to all figures via `rcparams.keymap` that allow for actions such as `s` to save or `q` to quit. If you inlcude one of these keys as a shortcut for labelling as a class then that default keymap will be disabled for that figure.
+
+
+## Related Projects
+
+This is not the first project to implement easy image labelling but seems to be the first to do so entirely in Matplotlib. The below
+projects implement varying degrees of complexity and/or additional features in different frameworks.
+
+- https://github.com/wbwvos/pidgey
+- https://github.com/agermanidis/pigeon
+- https://github.com/Serhiy-Shekhovtsov/tkteach
+- https://github.com/robertbrada/PyQt-image-annotation-tool
+- https://github.com/Cartucho/OpenLabeling
+
+
+%package help
+Summary:	Development documents and examples for mpl-image-labeller
+Provides:	python3-mpl-image-labeller-doc
+%description help
+# mpl-image-labeller
+
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ianhi/mpl-image-labeller/main?urlpath=lab/tree/docs/examples)
+[![Documentation Status](https://readthedocs.org/projects/mpl-image-labeller/badge/?version=stable)](https://mpl-image-labeller.readthedocs.io/en/stable/?badge=stable)
+
+
+[![License](https://img.shields.io/pypi/l/mpl-image-labeller.svg?color=green)](https://github.com/ianhi/mpl-image-labeller/raw/master/LICENSE)
+[![PyPI](https://img.shields.io/pypi/v/mpl-image-labeller.svg?color=green)](https://pypi.org/project/mpl-image-labeller)
+[![Python Version](https://img.shields.io/pypi/pyversions/mpl-image-labeller.svg?color=green)](https://python.org)
+
+Use Matplotlib to label images for classification. Works anywhere Matplotlib does - from the notebook to a standalone gui!
+
+For more see the [documentation](https://mpl-image-labeller.readthedocs.io/en/stable/?badge=stable).
+
+## Install
+
+```bash
+pip install mpl-image-labeller
+```
+## Key features
+- Simple interface
+- Uses keys instead of mouse
+- Only depends on Matplotlib
+    - Works anywhere - from inside Jupyter to any supported GUI framework
+- Displays images with correct aspect ratio
+- Easily configurable keymap
+- Smart interactions with default Matplotlib keymap
+- Callback System (see `examples/callbacks.py`)
+
+**single class per image**
+
+![gif of usage for labelling images of cats and dogs](docs/_static/single_class.gif)
+
+**multiple classes per image**
+
+![gif of usage for labelling images of cats and dogs](docs/_static/multi_class.gif)
+
+## Usage
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_image_labeller import image_labeller
+
+images = np.random.randn(5, 10, 10)
+labeller = image_labeller(
+    images, classes=["good", "bad", "meh"], label_keymap=["a", "s", "d"]
+)
+plt.show()
+```
+
+**accessing the axis**
+You can further modify the image (e.g. add masks over them) by using the plotting methods on
+axis object accessible by `labeller.ax`.
+
+**Lazy Loading Images**
+If you want to lazy load your images you can provide a function to give the images. This function should take
+the integer `idx` as an argument and return the image that corresponds to that index. If you do this then you
+must also provide `N_images` in the constructor to let the object know how many images it should expect. See `examples/lazy_loading.py` for an example.
+
+### Controls
+
+- `<-` move one image back
+- `->` move one image forward
+
+To label images use the keys defined in the `label_keymap` argument - default 0, 1, 2...
+
+
+Get the labels by accessing the `labels` property.
+
+### Overwriting default keymap
+Matplotlib has default keybindings that it applied to all figures via `rcparams.keymap` that allow for actions such as `s` to save or `q` to quit. If you inlcude one of these keys as a shortcut for labelling as a class then that default keymap will be disabled for that figure.
+
+
+## Related Projects
+
+This is not the first project to implement easy image labelling but seems to be the first to do so entirely in Matplotlib. The below
+projects implement varying degrees of complexity and/or additional features in different frameworks.
+
+- https://github.com/wbwvos/pidgey
+- https://github.com/agermanidis/pigeon
+- https://github.com/Serhiy-Shekhovtsov/tkteach
+- https://github.com/robertbrada/PyQt-image-annotation-tool
+- https://github.com/Cartucho/OpenLabeling
+
+
+%prep
+%autosetup -n mpl-image-labeller-1.1.2
+
+%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-mpl-image-labeller -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.2-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
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--- /dev/null
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+6cc220da2a8c4ab440685db7c5b1a4db  mpl_image_labeller-1.1.2.tar.gz