1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
|
%global _empty_manifest_terminate_build 0
Name: python-ml4a
Version: 0.1.3
Release: 1
Summary: A toolkit for making art with machine learning, including an API for popular deep learning models, recipes for combining them, and a suite of educational examples
License: MIT
URL: http://github.com/ml4a/ml4a
Source0: https://mirrors.aliyun.com/pypi/web/packages/80/1a/7452b2ec23b55f8ad283d99c0ba57ecbcc332262bb2ca74837b78e446622/ml4a-0.1.3.tar.gz
BuildArch: noarch
Requires: python3-bs4
Requires: python3-dill
Requires: python3-imutils
Requires: python3-inflect
Requires: python3-face-recognition
Requires: python3-gdown
Requires: python3-ipython
Requires: python3-ipywidgets
Requires: python3-librosa
Requires: python3-lxml
Requires: python3-matplotlib
Requires: python3-moviepy
Requires: python3-ninja
Requires: python3-noise
Requires: python3-numba
Requires: python3-numpy
Requires: python3-omegaconf
Requires: python3-opencv-python
Requires: python3-Pillow
Requires: python3-pytorch-lightning
Requires: python3-psutil
Requires: python3-scikit-image
Requires: python3-scikit-learn
Requires: python3-tensorflow-gpu
Requires: python3-torch
Requires: python3-torchvision
Requires: python3-tqdm
Requires: python3-unidecode
Requires: python3-yacs
%description
<h1 align="center">
<br>
<a href="https://ml4a.net/"><img src="https://pbs.twimg.com/profile_images/717391151041540096/K3Z09zCg_400x400.jpg" alt="ml4a" width="200"></a>
<br>
Machine Learning for Artists
<br>
</h1>
<div align="center">
<a href="https://ml-4a.slack.com/"><img src="https://img.shields.io/badge/chat-on%20slack-7A5979.svg" /></a>
<a href="https://mybinder.org/v2/gh/ml4a/ml4a/ml4a.net"><img src="https://mybinder.org/badge.svg" /></a>
<a href="http://colab.research.google.com/github/ml4a/ml4a/blob/ml4a.net"><img src="https://colab.research.google.com/assets/colab-badge.svg" /></a>
<a href="https://twitter.com/ml4a_"><img src="https://img.shields.io/twitter/follow/ml4a_?label=Follow&style=social"></a>
</div>
[ml4a](https://ml4a.net) is a Python library for making art with machine learning. It features:
* an API wrapping popular deep learning models with creative applications, including [StyleGAN2](https://github.com/NVLabs/stylegan2/), [SPADE](https://github.com/NVlabs/SPADE), [Neural Style Transfer](https://github.com/genekogan/neural_style), [DeepDream](https://github.com/genekogan/deepdream), and [many others](https://github.com/ml4a/ml4a/tree/master/ml4a/models/submodules).
* a collection of [Jupyter notebooks](https://github.com/ml4a/ml4a-guides/tree/ml4a.net/examples) explaining the basics of deep learning for beginners, and providing [recipes for using the materials creatively](https://github.com/ml4a/ml4a-guides/tree/ml4a.net/examples/models).
## Example
ml4a bundles the source code of various open source repositories as [git submodules](https://github.com/ml4a/ml4a-guides/tree/ml4a.net/ml4a/models/submodules) and contains wrappers to streamline and simplify them. For example, to generate sample images with StyleGAN2:
```
from ml4a import image
from ml4a.models import stylegan
network_pkl = stylegan.get_pretrained_model('ffhq')
stylegan.load_model(network_pkl)
samples = stylegan.random_sample(3, labels=None, truncation=1.0)
image.display(samples)
```
Every model in `ml4a.models`, including the `stylegan` module above, imports all of the original repository's code into its namespace, allowing low-level access.
## Support ml4a
### Become a sponsor
You can support ml4a by [donating through GitHub sponsors](https://github.com/sponsors/ml4a/).
### How to contribute
Start by joining the [Slack](https://join.slack.com/t/ml-4a/shared_invite/enQtNjA4MjgzODk1MjA3LTlhYjQ5NWQ2OTNlODZiMDRjZTFmNDZiYjlmZWYwNGM0YjIxNjE3Yjc0NWVjMmVlZjNmZDhmYTkzZjk0ZTg1ZGM%3E) or following us on [Twitter](https://www.twitter.com/ml4a_). Contribute to the codebase, or help write tutorials.
## License
ml4a itself is [licensed MIT](https://github.com/ml4a/ml4a/blob/master/LICENSE), but you are also bound to the licenses of any [models](https://github.com/ml4a/ml4a/tree/master/ml4a/models/submodules) you use.
%package -n python3-ml4a
Summary: A toolkit for making art with machine learning, including an API for popular deep learning models, recipes for combining them, and a suite of educational examples
Provides: python-ml4a
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-ml4a
<h1 align="center">
<br>
<a href="https://ml4a.net/"><img src="https://pbs.twimg.com/profile_images/717391151041540096/K3Z09zCg_400x400.jpg" alt="ml4a" width="200"></a>
<br>
Machine Learning for Artists
<br>
</h1>
<div align="center">
<a href="https://ml-4a.slack.com/"><img src="https://img.shields.io/badge/chat-on%20slack-7A5979.svg" /></a>
<a href="https://mybinder.org/v2/gh/ml4a/ml4a/ml4a.net"><img src="https://mybinder.org/badge.svg" /></a>
<a href="http://colab.research.google.com/github/ml4a/ml4a/blob/ml4a.net"><img src="https://colab.research.google.com/assets/colab-badge.svg" /></a>
<a href="https://twitter.com/ml4a_"><img src="https://img.shields.io/twitter/follow/ml4a_?label=Follow&style=social"></a>
</div>
[ml4a](https://ml4a.net) is a Python library for making art with machine learning. It features:
* an API wrapping popular deep learning models with creative applications, including [StyleGAN2](https://github.com/NVLabs/stylegan2/), [SPADE](https://github.com/NVlabs/SPADE), [Neural Style Transfer](https://github.com/genekogan/neural_style), [DeepDream](https://github.com/genekogan/deepdream), and [many others](https://github.com/ml4a/ml4a/tree/master/ml4a/models/submodules).
* a collection of [Jupyter notebooks](https://github.com/ml4a/ml4a-guides/tree/ml4a.net/examples) explaining the basics of deep learning for beginners, and providing [recipes for using the materials creatively](https://github.com/ml4a/ml4a-guides/tree/ml4a.net/examples/models).
## Example
ml4a bundles the source code of various open source repositories as [git submodules](https://github.com/ml4a/ml4a-guides/tree/ml4a.net/ml4a/models/submodules) and contains wrappers to streamline and simplify them. For example, to generate sample images with StyleGAN2:
```
from ml4a import image
from ml4a.models import stylegan
network_pkl = stylegan.get_pretrained_model('ffhq')
stylegan.load_model(network_pkl)
samples = stylegan.random_sample(3, labels=None, truncation=1.0)
image.display(samples)
```
Every model in `ml4a.models`, including the `stylegan` module above, imports all of the original repository's code into its namespace, allowing low-level access.
## Support ml4a
### Become a sponsor
You can support ml4a by [donating through GitHub sponsors](https://github.com/sponsors/ml4a/).
### How to contribute
Start by joining the [Slack](https://join.slack.com/t/ml-4a/shared_invite/enQtNjA4MjgzODk1MjA3LTlhYjQ5NWQ2OTNlODZiMDRjZTFmNDZiYjlmZWYwNGM0YjIxNjE3Yjc0NWVjMmVlZjNmZDhmYTkzZjk0ZTg1ZGM%3E) or following us on [Twitter](https://www.twitter.com/ml4a_). Contribute to the codebase, or help write tutorials.
## License
ml4a itself is [licensed MIT](https://github.com/ml4a/ml4a/blob/master/LICENSE), but you are also bound to the licenses of any [models](https://github.com/ml4a/ml4a/tree/master/ml4a/models/submodules) you use.
%package help
Summary: Development documents and examples for ml4a
Provides: python3-ml4a-doc
%description help
<h1 align="center">
<br>
<a href="https://ml4a.net/"><img src="https://pbs.twimg.com/profile_images/717391151041540096/K3Z09zCg_400x400.jpg" alt="ml4a" width="200"></a>
<br>
Machine Learning for Artists
<br>
</h1>
<div align="center">
<a href="https://ml-4a.slack.com/"><img src="https://img.shields.io/badge/chat-on%20slack-7A5979.svg" /></a>
<a href="https://mybinder.org/v2/gh/ml4a/ml4a/ml4a.net"><img src="https://mybinder.org/badge.svg" /></a>
<a href="http://colab.research.google.com/github/ml4a/ml4a/blob/ml4a.net"><img src="https://colab.research.google.com/assets/colab-badge.svg" /></a>
<a href="https://twitter.com/ml4a_"><img src="https://img.shields.io/twitter/follow/ml4a_?label=Follow&style=social"></a>
</div>
[ml4a](https://ml4a.net) is a Python library for making art with machine learning. It features:
* an API wrapping popular deep learning models with creative applications, including [StyleGAN2](https://github.com/NVLabs/stylegan2/), [SPADE](https://github.com/NVlabs/SPADE), [Neural Style Transfer](https://github.com/genekogan/neural_style), [DeepDream](https://github.com/genekogan/deepdream), and [many others](https://github.com/ml4a/ml4a/tree/master/ml4a/models/submodules).
* a collection of [Jupyter notebooks](https://github.com/ml4a/ml4a-guides/tree/ml4a.net/examples) explaining the basics of deep learning for beginners, and providing [recipes for using the materials creatively](https://github.com/ml4a/ml4a-guides/tree/ml4a.net/examples/models).
## Example
ml4a bundles the source code of various open source repositories as [git submodules](https://github.com/ml4a/ml4a-guides/tree/ml4a.net/ml4a/models/submodules) and contains wrappers to streamline and simplify them. For example, to generate sample images with StyleGAN2:
```
from ml4a import image
from ml4a.models import stylegan
network_pkl = stylegan.get_pretrained_model('ffhq')
stylegan.load_model(network_pkl)
samples = stylegan.random_sample(3, labels=None, truncation=1.0)
image.display(samples)
```
Every model in `ml4a.models`, including the `stylegan` module above, imports all of the original repository's code into its namespace, allowing low-level access.
## Support ml4a
### Become a sponsor
You can support ml4a by [donating through GitHub sponsors](https://github.com/sponsors/ml4a/).
### How to contribute
Start by joining the [Slack](https://join.slack.com/t/ml-4a/shared_invite/enQtNjA4MjgzODk1MjA3LTlhYjQ5NWQ2OTNlODZiMDRjZTFmNDZiYjlmZWYwNGM0YjIxNjE3Yjc0NWVjMmVlZjNmZDhmYTkzZjk0ZTg1ZGM%3E) or following us on [Twitter](https://www.twitter.com/ml4a_). Contribute to the codebase, or help write tutorials.
## License
ml4a itself is [licensed MIT](https://github.com/ml4a/ml4a/blob/master/LICENSE), but you are also bound to the licenses of any [models](https://github.com/ml4a/ml4a/tree/master/ml4a/models/submodules) you use.
%prep
%autosetup -n ml4a-0.1.3
%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-ml4a -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.3-1
- Package Spec generated
|
