質問編集履歴
1
「コードの挿入」を用いて、コードを書き直しました
test
CHANGED
|
File without changes
|
test
CHANGED
|
@@ -6,12 +6,20 @@
|
|
|
6
6
|
|
|
7
7
|
Google Colaboratoryにおいて、StyleGANを利用しようとしています。
|
|
8
8
|
|
|
9
|
+
|
|
10
|
+
|
|
9
|
-
http://cedro3.com/ai/stylegan/
|
|
11
|
+
[StyleGANの学習済みモデルでサクッと遊んでみる](http://cedro3.com/ai/stylegan/)を参考にしながらやってみたのですが、importの部分で'tensorflow' has no attribute 'Dimension'というエラーがでてしまいます(このエラーについてググってみましたが、どうすれば解決するのかよくわかりませんでした)。
|
|
10
12
|
|
|
11
13
|
ちなみに、Ubuntuのバージョンは、18.04.5で、Pythonのバージョンは3.6.9です。
|
|
12
14
|
|
|
13
15
|
TensorFlowのバージョンは、2.3.0でして、1.14.0に変更もしてやってみましたが、こちらもNo module named 'dnnlib'というエラーが出てしまっています(こちらも、どのように解決すればいいのかわかりませんでした)。
|
|
14
16
|
|
|
17
|
+
|
|
18
|
+
|
|
19
|
+
コードが悪いのかと思いまして[Google ColaboratoryでStyleGANを使ってみた。](https://qiita.com/Phoeboooo/items/12d21916de56d125f0be)も参考にしてみましたが、同じエラーがでました(ライブラリのimportがうまくいっていないので、そりゃ同じエラーが出ますよね)
|
|
20
|
+
|
|
21
|
+
|
|
22
|
+
|
|
15
23
|
Python初心者でして、何がいけないのかよくわかっておりません。
|
|
16
24
|
|
|
17
25
|
申し訳ありませんが、よろしくお願いいたします。
|
|
@@ -20,93 +28,177 @@
|
|
|
20
28
|
|
|
21
29
|
|
|
22
30
|
|
|
31
|
+
### コード
|
|
32
|
+
|
|
33
|
+
```Python
|
|
34
|
+
|
|
35
|
+
import os
|
|
36
|
+
|
|
37
|
+
import pickle
|
|
38
|
+
|
|
39
|
+
import numpy as np
|
|
40
|
+
|
|
41
|
+
import PIL.Image
|
|
42
|
+
|
|
43
|
+
import dnnlib
|
|
44
|
+
|
|
45
|
+
import dnnlib.tflib as tflib
|
|
46
|
+
|
|
47
|
+
import config
|
|
48
|
+
|
|
49
|
+
|
|
50
|
+
|
|
51
|
+
def main():
|
|
52
|
+
|
|
53
|
+
# Initialize TensorFlow.
|
|
54
|
+
|
|
55
|
+
tflib.init_tf()
|
|
56
|
+
|
|
57
|
+
|
|
58
|
+
|
|
59
|
+
# Load pre-trained network.
|
|
60
|
+
|
|
61
|
+
url = 'https://drive.google.com/uc?id=1MEGjdvVpUsu1jB4zrXZN7Y4kBBOzizDQ' # karras2019stylegan-ffhq-1024x1024.pkl
|
|
62
|
+
|
|
63
|
+
with dnnlib.util.open_url(url, cache_dir=config.cache_dir) as f:
|
|
64
|
+
|
|
65
|
+
_G, _D, Gs = pickle.load(f)
|
|
66
|
+
|
|
67
|
+
# _G = Instantaneous snapshot of the generator. Mainly useful for resuming a previous training run.
|
|
68
|
+
|
|
69
|
+
# _D = Instantaneous snapshot of the discriminator. Mainly useful for resuming a previous training run.
|
|
70
|
+
|
|
71
|
+
# Gs = Long-term average of the generator. Yields higher-quality results than the instantaneous snapshot.
|
|
72
|
+
|
|
73
|
+
|
|
74
|
+
|
|
75
|
+
# Print network details.
|
|
76
|
+
|
|
77
|
+
Gs.print_layers()
|
|
78
|
+
|
|
79
|
+
|
|
80
|
+
|
|
81
|
+
# Pick latent vector.
|
|
82
|
+
|
|
83
|
+
rnd = np.random.RandomState(10) # seed = 10
|
|
84
|
+
|
|
85
|
+
latents0 = rnd.randn(1, Gs.input_shape[1])
|
|
86
|
+
|
|
87
|
+
latents1 = rnd.randn(1, Gs.input_shape[1])
|
|
88
|
+
|
|
89
|
+
latents2 = rnd.randn(1, Gs.input_shape[1])
|
|
90
|
+
|
|
91
|
+
latents3 = rnd.randn(1, Gs.input_shape[1])
|
|
92
|
+
|
|
93
|
+
latents4 = rnd.randn(1, Gs.input_shape[1])
|
|
94
|
+
|
|
95
|
+
latents5 = rnd.randn(1, Gs.input_shape[1])
|
|
96
|
+
|
|
97
|
+
latents6 = rnd.randn(1, Gs.input_shape[1])
|
|
98
|
+
|
|
99
|
+
|
|
100
|
+
|
|
101
|
+
num_split = 39 # 2つのベクトルを39分割
|
|
102
|
+
|
|
103
|
+
for i in range(40):
|
|
104
|
+
|
|
105
|
+
latents = latents6+(latents0-latents6)*i/num_split
|
|
106
|
+
|
|
107
|
+
# Generate image.
|
|
108
|
+
|
|
109
|
+
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
|
|
110
|
+
|
|
111
|
+
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
|
|
112
|
+
|
|
113
|
+
|
|
114
|
+
|
|
115
|
+
# Save image.
|
|
116
|
+
|
|
117
|
+
os.makedirs(config.result_dir, exist_ok=True)
|
|
118
|
+
|
|
119
|
+
png_filename = os.path.join(config.result_dir, 'photo'+'{0:04d}'.format(i)+'.png')
|
|
120
|
+
|
|
121
|
+
PIL.Image.fromarray(images[0], 'RGB').save(png_filename)
|
|
122
|
+
|
|
123
|
+
|
|
124
|
+
|
|
125
|
+
if __name__ == "__main__":
|
|
126
|
+
|
|
127
|
+
main()
|
|
128
|
+
|
|
129
|
+
```
|
|
130
|
+
|
|
131
|
+
|
|
132
|
+
|
|
133
|
+
---------------------------------------------------------------------------
|
|
134
|
+
|
|
135
|
+
|
|
136
|
+
|
|
23
137
|
### 発生している問題・エラーメッセージ
|
|
24
138
|
|
|
25
|
-
|
|
26
|
-
|
|
27
|
-
im
|
|
28
|
-
|
|
29
|
-
i
|
|
30
|
-
|
|
31
|
-
import
|
|
32
|
-
|
|
33
|
-
import
|
|
34
|
-
|
|
35
|
-
import dnnlib
|
|
36
|
-
|
|
37
|
-
import
|
|
38
|
-
|
|
39
|
-
|
|
40
|
-
|
|
41
|
-
|
|
42
|
-
|
|
43
|
-
de
|
|
44
|
-
|
|
45
|
-
|
|
46
|
-
|
|
47
|
-
|
|
48
|
-
|
|
49
|
-
|
|
50
|
-
|
|
51
|
-
|
|
52
|
-
|
|
53
|
-
|
|
54
|
-
|
|
55
|
-
|
|
56
|
-
|
|
57
|
-
|
|
58
|
-
|
|
59
|
-
s
|
|
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
|
-
num
|
|
86
|
-
|
|
87
|
-
|
|
88
|
-
|
|
89
|
-
latents = latents6+(latents0-latents6)*i/num_split
|
|
90
|
-
|
|
91
|
-
|
|
92
|
-
|
|
93
|
-
fmt = dict(func=tflib.convert_images_to_uint8, nchw_to_nhwc=True)
|
|
94
|
-
|
|
95
|
-
images = Gs.run(latents, None, truncation_psi=0.7, randomize_noise=True, output_transform=fmt)
|
|
96
|
-
|
|
97
|
-
|
|
98
|
-
|
|
99
|
-
os.makedirs(config.result_dir, exist_ok=True)
|
|
100
|
-
|
|
101
|
-
png_filename = os.path.join(config.result_dir, 'photo'+'{0:04d}'.format(i)+'.png')
|
|
102
|
-
|
|
103
|
-
PIL.Image.fromarray(images[0], 'RGB').save(png_filename)
|
|
104
|
-
|
|
105
|
-
|
|
106
|
-
|
|
107
|
-
if __name__ == "__main__":
|
|
108
|
-
|
|
109
|
-
main()
|
|
139
|
+
```Python
|
|
140
|
+
|
|
141
|
+
AttributeError Traceback (most recent call last)
|
|
142
|
+
|
|
143
|
+
<ipython-input-6-ece5f04dab83> in <module>()
|
|
144
|
+
|
|
145
|
+
4 import PIL.Image
|
|
146
|
+
|
|
147
|
+
5 import dnnlib
|
|
148
|
+
|
|
149
|
+
----> 6 import dnnlib.tflib as tflib
|
|
150
|
+
|
|
151
|
+
7 import config
|
|
152
|
+
|
|
153
|
+
8
|
|
154
|
+
|
|
155
|
+
|
|
156
|
+
|
|
157
|
+
/content/drive/My Drive/stylegan/dnnlib/tflib/__init__.py in <module>()
|
|
158
|
+
|
|
159
|
+
6 # Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
|
|
160
|
+
|
|
161
|
+
7
|
|
162
|
+
|
|
163
|
+
----> 8 from . import autosummary
|
|
164
|
+
|
|
165
|
+
9 from . import network
|
|
166
|
+
|
|
167
|
+
10 from . import optimizer
|
|
168
|
+
|
|
169
|
+
|
|
170
|
+
|
|
171
|
+
/content/drive/My Drive/stylegan/dnnlib/tflib/autosummary.py in <module>()
|
|
172
|
+
|
|
173
|
+
29 from tensorboard.plugins.custom_scalar import layout_pb2
|
|
174
|
+
|
|
175
|
+
30
|
|
176
|
+
|
|
177
|
+
---> 31 from . import tfutil
|
|
178
|
+
|
|
179
|
+
32 from .tfutil import TfExpression
|
|
180
|
+
|
|
181
|
+
33 from .tfutil import TfExpressionEx
|
|
182
|
+
|
|
183
|
+
|
|
184
|
+
|
|
185
|
+
/content/drive/My Drive/stylegan/dnnlib/tflib/tfutil.py in <module>()
|
|
186
|
+
|
|
187
|
+
32
|
|
188
|
+
|
|
189
|
+
33
|
|
190
|
+
|
|
191
|
+
---> 34 def shape_to_list(shape: Iterable[tf.Dimension]) -> List[Union[int, None]]:
|
|
192
|
+
|
|
193
|
+
35 """Convert a Tensorflow shape to a list of ints."""
|
|
194
|
+
|
|
195
|
+
36 return [dim.value for dim in shape]
|
|
196
|
+
|
|
197
|
+
|
|
198
|
+
|
|
199
|
+
AttributeError: module 'tensorflow' has no attribute 'Dimension'
|
|
200
|
+
|
|
201
|
+
```
|
|
110
202
|
|
|
111
203
|
|
|
112
204
|
|
|
@@ -114,92 +206,28 @@
|
|
|
114
206
|
|
|
115
207
|
|
|
116
208
|
|
|
209
|
+
また、1.14.0では、以下のようなエラーが出てきます
|
|
210
|
+
|
|
211
|
+
|
|
212
|
+
|
|
213
|
+
```Python
|
|
214
|
+
|
|
117
|
-
|
|
215
|
+
ModuleNotFoundError Traceback (most recent call last)
|
|
118
|
-
|
|
216
|
+
|
|
119
|
-
<ipython-input-
|
|
217
|
+
<ipython-input-1-ece5f04dab83> in <module>()
|
|
218
|
+
|
|
219
|
+
3 import numpy as np
|
|
120
220
|
|
|
121
221
|
4 import PIL.Image
|
|
122
222
|
|
|
123
|
-
|
|
223
|
+
----> 5 import dnnlib
|
|
124
|
-
|
|
224
|
+
|
|
125
|
-
|
|
225
|
+
6 import dnnlib.tflib as tflib
|
|
126
226
|
|
|
127
227
|
7 import config
|
|
128
228
|
|
|
129
|
-
8
|
|
130
|
-
|
|
131
|
-
|
|
132
|
-
|
|
133
|
-
/content/drive/My Drive/stylegan/dnnlib/tflib/__init__.py in <module>()
|
|
134
|
-
|
|
135
|
-
6 # Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
|
|
136
|
-
|
|
137
|
-
7
|
|
138
|
-
|
|
139
|
-
----> 8 from . import autosummary
|
|
140
|
-
|
|
141
|
-
9 from . import network
|
|
142
|
-
|
|
143
|
-
10 from . import optimizer
|
|
144
|
-
|
|
145
|
-
|
|
146
|
-
|
|
147
|
-
/content/drive/My Drive/stylegan/dnnlib/tflib/autosummary.py in <module>()
|
|
148
|
-
|
|
149
|
-
29 from tensorboard.plugins.custom_scalar import layout_pb2
|
|
150
|
-
|
|
151
|
-
30
|
|
152
|
-
|
|
153
|
-
---> 31 from . import tfutil
|
|
154
|
-
|
|
155
|
-
32 from .tfutil import TfExpression
|
|
156
|
-
|
|
157
|
-
33 from .tfutil import TfExpressionEx
|
|
158
|
-
|
|
159
|
-
|
|
160
|
-
|
|
161
|
-
/content/drive/My Drive/stylegan/dnnlib/tflib/tfutil.py in <module>()
|
|
162
|
-
|
|
163
|
-
32
|
|
164
|
-
|
|
165
|
-
33
|
|
166
|
-
|
|
167
|
-
---> 34 def shape_to_list(shape: Iterable[tf.Dimension]) -> List[Union[int, None]]:
|
|
168
|
-
|
|
169
|
-
35 """Convert a Tensorflow shape to a list of ints."""
|
|
170
|
-
|
|
171
|
-
36 return [dim.value for dim in shape]
|
|
172
|
-
|
|
173
|
-
|
|
174
|
-
|
|
175
|
-
AttributeError: module 'tensorflow' has no attribute 'Dimension'
|
|
176
|
-
|
|
177
|
-
|
|
178
|
-
|
|
179
|
-
---------------------------------------------------------------------------
|
|
180
|
-
|
|
181
|
-
|
|
182
|
-
|
|
183
|
-
また、1.14.0では、以下のようなエラーが出てきます
|
|
184
|
-
|
|
185
|
-
|
|
186
|
-
|
|
187
|
-
|
|
188
|
-
|
|
189
|
-
ModuleNotFoundError Traceback (most recent call last)
|
|
190
|
-
|
|
191
|
-
<ipython-input-1-ece5f04dab83> in <module>()
|
|
192
|
-
|
|
193
|
-
3 import numpy as np
|
|
194
|
-
|
|
195
|
-
4 import PIL.Image
|
|
196
|
-
|
|
197
|
-
----> 5 import dnnlib
|
|
198
|
-
|
|
199
|
-
6 import dnnlib.tflib as tflib
|
|
200
|
-
|
|
201
|
-
7 import config
|
|
202
|
-
|
|
203
229
|
|
|
204
230
|
|
|
205
231
|
ModuleNotFoundError: No module named 'dnnlib'
|
|
232
|
+
|
|
233
|
+
```
|