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authorCoprDistGit <infra@openeuler.org>2023-05-31 05:28:38 +0000
committerCoprDistGit <infra@openeuler.org>2023-05-31 05:28:38 +0000
commita52755528499d45dc9b6f0048e73e45e54ae2ec4 (patch)
treecdeb942be3eca7c163a2c88e01f71ec20e80531b
parente36489396557012b2c16f5a9a3f1d859bb781167 (diff)
automatic import of python-cmapy
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-rw-r--r--python-cmapy.spec285
-rw-r--r--sources1
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diff --git a/.gitignore b/.gitignore
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+/cmapy-0.6.6.tar.gz
diff --git a/python-cmapy.spec b/python-cmapy.spec
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+%global _empty_manifest_terminate_build 0
+Name: python-cmapy
+Version: 0.6.6
+Release: 1
+Summary: Use Matplotlib colormaps with OpenCV in Python.
+License: MIT
+URL: https://gitlab.com/cvejarano-oss/cmapy/
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/25/47/f1d2c686253bea1454cc7db687a09ae912fbe4648a86ef7fcd9765f7639f/cmapy-0.6.6.tar.gz
+BuildArch: noarch
+
+
+%description
+# cmapy
+
+Use Matplotlib colormaps with OpenCV in Python.
+
+Matplotlib provides a lot of [nice colormaps](https://matplotlib.org/tutorials/colors/colormaps.html). Cmapy exposes these colormaps as lists of colors that can be used with OpenCV to colorize images or for other drawing tasks in Python.
+
+| Original image | ![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/examples/imgs/gradient.png) | ![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/examples/imgs/jupiter.png) | ![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/examples/imgs/woman.png) |
+| -- | -- | -- | -- |
+|viridis|![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/docs/imgs/gradient_viridis.png)|![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/docs/imgs/jupiter_viridis.png)|![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/docs/imgs/woman_viridis.png)|
+
+See all of the available colormaps as of Matplotlib 2.2.3 in this [all colormaps example](https://gitlab.com/cvejarano-oss/cmapy/blob/master/docs/colorize_all_examples.md).
+
+## Requirements
+
+* Python 2.7 or 3.
+* Matplotlib.
+* OpenCV >= 3.3.0 (to use cv2.applyColorMap()).
+
+## Installation
+
+Python 2.7, with pip:
+
+```bash
+pip install cmapy
+```
+
+Python 3.x, with pip:
+
+```bash
+pip3 install cmapy
+```
+
+Or, in a Conda environment:
+
+```bash
+conda install -c conda-forge cmapy
+```
+
+## How to use
+
+### Colorize images
+
+Colorize means to apply a colormap to an image. This is done by getting the colormap
+with cmapy.cmap() and then applying cv2.applyColorMap(), like this:
+
+```python
+img_colorized = cv2.applyColorMap(img, cmapy.cmap('viridis'))
+```
+
+Alternatively, you can use cmapy.colorize() directly:
+
+```python
+img_colorized = cmapy.colorize(img, 'viridis')
+```
+
+See the full [colorize example](https://gitlab.com/cvejarano-oss/cmapy/blob/master/examples/colorize.py).
+
+### Draw with colors
+
+Use the cmapy.color() function and an index between 0 and 255 to get a color
+from a colormap. Cmapy.color() returns a list of BGR (or RGB) values that can be
+used with OpenCV drawing functions.
+
+```python
+# Get color in BGR order (default) by index.
+bgr_color = cmapy.color('viridis', 127)
+
+# Get color in RGB order with a float value.
+rgb_color = cmapy.color('viridis', 0.5, rgb_order=True)
+```
+
+See a complete [drawing with colors example](https://gitlab.com/cvejarano-oss/cmapy/blob/master/examples/draw_with_colors.py).
+
+%package -n python3-cmapy
+Summary: Use Matplotlib colormaps with OpenCV in Python.
+Provides: python-cmapy
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-cmapy
+# cmapy
+
+Use Matplotlib colormaps with OpenCV in Python.
+
+Matplotlib provides a lot of [nice colormaps](https://matplotlib.org/tutorials/colors/colormaps.html). Cmapy exposes these colormaps as lists of colors that can be used with OpenCV to colorize images or for other drawing tasks in Python.
+
+| Original image | ![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/examples/imgs/gradient.png) | ![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/examples/imgs/jupiter.png) | ![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/examples/imgs/woman.png) |
+| -- | -- | -- | -- |
+|viridis|![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/docs/imgs/gradient_viridis.png)|![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/docs/imgs/jupiter_viridis.png)|![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/docs/imgs/woman_viridis.png)|
+
+See all of the available colormaps as of Matplotlib 2.2.3 in this [all colormaps example](https://gitlab.com/cvejarano-oss/cmapy/blob/master/docs/colorize_all_examples.md).
+
+## Requirements
+
+* Python 2.7 or 3.
+* Matplotlib.
+* OpenCV >= 3.3.0 (to use cv2.applyColorMap()).
+
+## Installation
+
+Python 2.7, with pip:
+
+```bash
+pip install cmapy
+```
+
+Python 3.x, with pip:
+
+```bash
+pip3 install cmapy
+```
+
+Or, in a Conda environment:
+
+```bash
+conda install -c conda-forge cmapy
+```
+
+## How to use
+
+### Colorize images
+
+Colorize means to apply a colormap to an image. This is done by getting the colormap
+with cmapy.cmap() and then applying cv2.applyColorMap(), like this:
+
+```python
+img_colorized = cv2.applyColorMap(img, cmapy.cmap('viridis'))
+```
+
+Alternatively, you can use cmapy.colorize() directly:
+
+```python
+img_colorized = cmapy.colorize(img, 'viridis')
+```
+
+See the full [colorize example](https://gitlab.com/cvejarano-oss/cmapy/blob/master/examples/colorize.py).
+
+### Draw with colors
+
+Use the cmapy.color() function and an index between 0 and 255 to get a color
+from a colormap. Cmapy.color() returns a list of BGR (or RGB) values that can be
+used with OpenCV drawing functions.
+
+```python
+# Get color in BGR order (default) by index.
+bgr_color = cmapy.color('viridis', 127)
+
+# Get color in RGB order with a float value.
+rgb_color = cmapy.color('viridis', 0.5, rgb_order=True)
+```
+
+See a complete [drawing with colors example](https://gitlab.com/cvejarano-oss/cmapy/blob/master/examples/draw_with_colors.py).
+
+%package help
+Summary: Development documents and examples for cmapy
+Provides: python3-cmapy-doc
+%description help
+# cmapy
+
+Use Matplotlib colormaps with OpenCV in Python.
+
+Matplotlib provides a lot of [nice colormaps](https://matplotlib.org/tutorials/colors/colormaps.html). Cmapy exposes these colormaps as lists of colors that can be used with OpenCV to colorize images or for other drawing tasks in Python.
+
+| Original image | ![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/examples/imgs/gradient.png) | ![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/examples/imgs/jupiter.png) | ![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/examples/imgs/woman.png) |
+| -- | -- | -- | -- |
+|viridis|![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/docs/imgs/gradient_viridis.png)|![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/docs/imgs/jupiter_viridis.png)|![](https://gitlab.com/cvejarano-oss/cmapy/raw/master/docs/imgs/woman_viridis.png)|
+
+See all of the available colormaps as of Matplotlib 2.2.3 in this [all colormaps example](https://gitlab.com/cvejarano-oss/cmapy/blob/master/docs/colorize_all_examples.md).
+
+## Requirements
+
+* Python 2.7 or 3.
+* Matplotlib.
+* OpenCV >= 3.3.0 (to use cv2.applyColorMap()).
+
+## Installation
+
+Python 2.7, with pip:
+
+```bash
+pip install cmapy
+```
+
+Python 3.x, with pip:
+
+```bash
+pip3 install cmapy
+```
+
+Or, in a Conda environment:
+
+```bash
+conda install -c conda-forge cmapy
+```
+
+## How to use
+
+### Colorize images
+
+Colorize means to apply a colormap to an image. This is done by getting the colormap
+with cmapy.cmap() and then applying cv2.applyColorMap(), like this:
+
+```python
+img_colorized = cv2.applyColorMap(img, cmapy.cmap('viridis'))
+```
+
+Alternatively, you can use cmapy.colorize() directly:
+
+```python
+img_colorized = cmapy.colorize(img, 'viridis')
+```
+
+See the full [colorize example](https://gitlab.com/cvejarano-oss/cmapy/blob/master/examples/colorize.py).
+
+### Draw with colors
+
+Use the cmapy.color() function and an index between 0 and 255 to get a color
+from a colormap. Cmapy.color() returns a list of BGR (or RGB) values that can be
+used with OpenCV drawing functions.
+
+```python
+# Get color in BGR order (default) by index.
+bgr_color = cmapy.color('viridis', 127)
+
+# Get color in RGB order with a float value.
+rgb_color = cmapy.color('viridis', 0.5, rgb_order=True)
+```
+
+See a complete [drawing with colors example](https://gitlab.com/cvejarano-oss/cmapy/blob/master/examples/draw_with_colors.py).
+
+%prep
+%autosetup -n cmapy-0.6.6
+
+%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-cmapy -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.6-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..81e248d
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+c3a4125046b77aac870e675ae0975cd5 cmapy-0.6.6.tar.gz