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authorCoprDistGit <infra@openeuler.org>2023-06-20 10:06:32 +0000
committerCoprDistGit <infra@openeuler.org>2023-06-20 10:06:32 +0000
commit9ec8c17e84b696d166200715a227a7e8d1605861 (patch)
tree4d481c23c383c0b7df6e418f7818088a50b2f1ad
parent85c0be70bfe63b4c3510f0e60be986d9796ec901 (diff)
automatic import of python-lucidsonicdreamsopeneuler20.03
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+/lucidsonicdreams-0.4.tar.gz
diff --git a/python-lucidsonicdreams.spec b/python-lucidsonicdreams.spec
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+%global _empty_manifest_terminate_build 0
+Name: python-lucidsonicdreams
+Version: 0.4
+Release: 1
+Summary: Syncs GAN-generated visuals to music
+License: MIT License
+URL: https://github.com/mikaelalafriz/lucid-sonic-dreams
+Source0: https://mirrors.aliyun.com/pypi/web/packages/4a/01/91ff8de2866a78435231966bf006eca06d7624c3f7cecce5b8c9b351d97d/lucidsonicdreams-0.4.tar.gz
+BuildArch: noarch
+
+
+%description
+# Lucid Sonic Dreams
+Lucid Sonic Dreams syncs GAN-generated visuals to music. By default, it uses [NVLabs StyleGAN2](https://github.com/NVlabs/stylegan2), with pre-trained models lifted from [Justin Pinkney's consolidated repository](https://github.com/justinpinkney/awesome-pretrained-stylegan2). Custom weights and other GAN architectures can be used as well.
+
+Sample output can be found on [YouTube](https://youtu.be/l-nGC-ve7sI) and [Instagram](https://www.instagram.com/lucidsonicdreams/).
+
+## Installation
+
+This implementation has been teston on Python 3.6 and 3.7. As per NVLabs' TensorFlow implementation of StyleGAN2, TensorFlow 1.15 is required. TensorFlow 2.x is not supported.
+
+To install, simply run:
+
+```pip install lucidsonicdreams```
+
+## Usage
+
+You may refer to the [Lucid Sonic Dreams Tutorial Notebook](https://colab.research.google.com/drive/1Y5i50xSFIuN3V4Md8TB30_GOAtts7RQD?usp=sharing) for full parameter descriptions and sample code templates. A basic visualization snippet is also found below.
+
+### Basic Visualization
+
+```
+from lucidsonicdreams import LucidSonicDream
+
+
+L = LucidSonicDream(song = 'song.mp3',
+ style = 'abstract photos')
+
+L.hallucinate(file_name = 'song.mp4')
+```
+
+%package -n python3-lucidsonicdreams
+Summary: Syncs GAN-generated visuals to music
+Provides: python-lucidsonicdreams
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-lucidsonicdreams
+# Lucid Sonic Dreams
+Lucid Sonic Dreams syncs GAN-generated visuals to music. By default, it uses [NVLabs StyleGAN2](https://github.com/NVlabs/stylegan2), with pre-trained models lifted from [Justin Pinkney's consolidated repository](https://github.com/justinpinkney/awesome-pretrained-stylegan2). Custom weights and other GAN architectures can be used as well.
+
+Sample output can be found on [YouTube](https://youtu.be/l-nGC-ve7sI) and [Instagram](https://www.instagram.com/lucidsonicdreams/).
+
+## Installation
+
+This implementation has been teston on Python 3.6 and 3.7. As per NVLabs' TensorFlow implementation of StyleGAN2, TensorFlow 1.15 is required. TensorFlow 2.x is not supported.
+
+To install, simply run:
+
+```pip install lucidsonicdreams```
+
+## Usage
+
+You may refer to the [Lucid Sonic Dreams Tutorial Notebook](https://colab.research.google.com/drive/1Y5i50xSFIuN3V4Md8TB30_GOAtts7RQD?usp=sharing) for full parameter descriptions and sample code templates. A basic visualization snippet is also found below.
+
+### Basic Visualization
+
+```
+from lucidsonicdreams import LucidSonicDream
+
+
+L = LucidSonicDream(song = 'song.mp3',
+ style = 'abstract photos')
+
+L.hallucinate(file_name = 'song.mp4')
+```
+
+%package help
+Summary: Development documents and examples for lucidsonicdreams
+Provides: python3-lucidsonicdreams-doc
+%description help
+# Lucid Sonic Dreams
+Lucid Sonic Dreams syncs GAN-generated visuals to music. By default, it uses [NVLabs StyleGAN2](https://github.com/NVlabs/stylegan2), with pre-trained models lifted from [Justin Pinkney's consolidated repository](https://github.com/justinpinkney/awesome-pretrained-stylegan2). Custom weights and other GAN architectures can be used as well.
+
+Sample output can be found on [YouTube](https://youtu.be/l-nGC-ve7sI) and [Instagram](https://www.instagram.com/lucidsonicdreams/).
+
+## Installation
+
+This implementation has been teston on Python 3.6 and 3.7. As per NVLabs' TensorFlow implementation of StyleGAN2, TensorFlow 1.15 is required. TensorFlow 2.x is not supported.
+
+To install, simply run:
+
+```pip install lucidsonicdreams```
+
+## Usage
+
+You may refer to the [Lucid Sonic Dreams Tutorial Notebook](https://colab.research.google.com/drive/1Y5i50xSFIuN3V4Md8TB30_GOAtts7RQD?usp=sharing) for full parameter descriptions and sample code templates. A basic visualization snippet is also found below.
+
+### Basic Visualization
+
+```
+from lucidsonicdreams import LucidSonicDream
+
+
+L = LucidSonicDream(song = 'song.mp3',
+ style = 'abstract photos')
+
+L.hallucinate(file_name = 'song.mp4')
+```
+
+%prep
+%autosetup -n lucidsonicdreams-0.4
+
+%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-lucidsonicdreams -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4-1
+- Package Spec generated
diff --git a/sources b/sources
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+++ b/sources
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+0316084a0fc877af5a024c5724490e95 lucidsonicdreams-0.4.tar.gz