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b1673312
编写于
10月 31, 2019
作者:
L
lvmengsi
提交者:
GitHub
10月 31, 2019
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Sync 1.6 to develop (#3797)
* sync 1.6 * sync 1.6 * update readme
上级
1c7527ed
变更
13
隐藏空白更改
内联
并排
Showing
13 changed file
with
107 addition
and
92 deletion
+107
-92
PaddleCV/PaddleGAN/README.md
PaddleCV/PaddleGAN/README.md
+4
-4
PaddleCV/PaddleGAN/infer.py
PaddleCV/PaddleGAN/infer.py
+11
-9
PaddleCV/PaddleGAN/requirements.txt
PaddleCV/PaddleGAN/requirements.txt
+1
-1
PaddleCV/PaddleGAN/train.py
PaddleCV/PaddleGAN/train.py
+1
-0
PaddleCV/PaddleGAN/trainer/AttGAN.py
PaddleCV/PaddleGAN/trainer/AttGAN.py
+12
-12
PaddleCV/PaddleGAN/trainer/CGAN.py
PaddleCV/PaddleGAN/trainer/CGAN.py
+6
-6
PaddleCV/PaddleGAN/trainer/CycleGAN.py
PaddleCV/PaddleGAN/trainer/CycleGAN.py
+9
-11
PaddleCV/PaddleGAN/trainer/DCGAN.py
PaddleCV/PaddleGAN/trainer/DCGAN.py
+4
-4
PaddleCV/PaddleGAN/trainer/Pix2pix.py
PaddleCV/PaddleGAN/trainer/Pix2pix.py
+14
-16
PaddleCV/PaddleGAN/trainer/SPADE.py
PaddleCV/PaddleGAN/trainer/SPADE.py
+9
-9
PaddleCV/PaddleGAN/trainer/STGAN.py
PaddleCV/PaddleGAN/trainer/STGAN.py
+12
-12
PaddleCV/PaddleGAN/trainer/StarGAN.py
PaddleCV/PaddleGAN/trainer/StarGAN.py
+8
-8
PaddleCV/PaddleGAN/util/utility.py
PaddleCV/PaddleGAN/util/utility.py
+16
-0
未找到文件。
PaddleCV/PaddleGAN/README.md
浏览文件 @
b1673312
...
...
@@ -62,14 +62,14 @@
```
同时推荐用户参考
[
IPython Notebook demo
](
https://aistudio.baidu.com/aistudio/projectDetail/122272
)
同时推荐用户参考
[
IPython Notebook demo
](
https://aistudio.baidu.com/aistudio/projectDetail/122272
)
## 快速开始
### 安装说明
**安装[PaddlePaddle](https://github.com/PaddlePaddle/Paddle):**
在当前目录下运行样例代码需要PadddlePaddle Fluid的v.1.
5
或以上的版本。如果你的运行环境中的PaddlePaddle低于此版本,请根据
[
安装文档
](
https://www.paddlepaddle.org.cn/documentation/docs/zh/1.5/beginners_guide/install/index_cn.html
)
中的说明来更新PaddlePaddle。
在当前目录下运行样例代码需要PadddlePaddle Fluid的v.1.
6
或以上的版本。如果你的运行环境中的PaddlePaddle低于此版本,请根据
[
安装文档
](
https://www.paddlepaddle.org.cn/documentation/docs/zh/1.5/beginners_guide/install/index_cn.html
)
中的说明来更新PaddlePaddle。
其他依赖包:
1.
`pip install imageio`
或者
`pip install -r requirements.txt`
安装imageio包(保存图片代码中所依赖的包)
...
...
@@ -114,7 +114,7 @@ SPADE使用的[cityscapes](https://www.cityscapes-dataset.com)数据集可以自
-
每个GAN都给出了一份运行示例,放在scripts文件夹内,用户可以直接运行训练脚本快速开始训练。
-
用户可以通过设置
`--model_net`
参数来选择想要训练的模型,通过设置
`--dataset`
参数来选择训练所需要的数据集。
-
SPADE模型的训练需要在主目录下新建一个VGG19_pretrained目录,从
[
该链接
](
https://paddle-
imagenet-models-name.bj.bcebos.com/VGG19_pretrained.tar
)
下载在ImageNet上预训练好的VGG19模型,解压之后把VGG19模型的参数名改成
`vgg19_`
开头的参数名
。
-
SPADE模型的训练需要在主目录下新建一个VGG19_pretrained目录,从
[
该链接
](
https://paddle-
gan-models.bj.bcebos.com/vgg19_spade.tar.gz
)
下载并解压在ImageNet上预训练好的VGG19模型,该模型是从分类模型页面下载的VGG19的预训练模型并为参数添加
`vgg19_`
的前缀用来区分和生成网络中的参数
。
### 模型测试
模型测试是利用训练完成的生成模型进行图像生成。infer.py是主要的执行程序,调用示例如下:
...
...
@@ -185,7 +185,7 @@ STGAN的效果图(图片属性分别为:original image, Bald, Bangs, Black Hai
| StarGAN |
[
StarGAN的预训练模型
](
https://paddle-gan-models.bj.bcebos.com/stargan_G.tar.gz
)
|
| AttGAN |
[
AttGAN的预训练模型
](
https://paddle-gan-models.bj.bcebos.com/attgan_G.tar.gz
)
|
| STGAN |
[
STGAN的预训练模型
](
https://paddle-gan-models.bj.bcebos.com/stgan_G.tar.gz
)
|
| SPADE |
[
SPADE的预训练模型
](
)
([SPADE需要的vgg预训练模型](
)
)
| SPADE |
[
SPADE的预训练模型
](
https://paddle-gan-models.bj.bcebos.com/spade_G.tar.gz
)
(
[SPADE需要的vgg19预训练模型](https://paddle-gan-models.bj.bcebos.com/vgg19_spade.tar.gz
)
)
## 进阶使用
...
...
PaddleCV/PaddleGAN/infer.py
浏览文件 @
b1673312
...
...
@@ -27,7 +27,7 @@ import imageio
import
glob
from
util.config
import
add_arguments
,
print_arguments
from
data_reader
import
celeba_reader_creator
,
reader_creator
,
triplex_reader_creator
from
util.utility
import
check_attribute_conflict
,
check_gpu
,
save_batch_image
from
util.utility
import
check_attribute_conflict
,
check_gpu
,
save_batch_image
,
check_version
from
util
import
utility
import
copy
...
...
@@ -84,11 +84,12 @@ def infer(args):
model_name
=
'net_G'
if
args
.
model_net
==
'CycleGAN'
:
py_reader
=
fluid
.
io
.
PyReade
r
(
loader
=
fluid
.
io
.
DataLoader
.
from_generato
r
(
feed_list
=
[
input
,
image_name
],
capacity
=
4
,
## batch_size * 4
iterable
=
True
,
use_double_buffer
=
True
)
from
network.CycleGAN_network
import
CycleGAN_model
model
=
CycleGAN_model
()
if
args
.
input_style
==
"A"
:
...
...
@@ -98,7 +99,7 @@ def infer(args):
else
:
raise
"Input with style [%s] is not supported."
%
args
.
input_style
elif
args
.
model_net
==
'Pix2pix'
:
py_reader
=
fluid
.
io
.
PyReade
r
(
loader
=
fluid
.
io
.
DataLoader
.
from_generato
r
(
feed_list
=
[
input
,
image_name
],
capacity
=
4
,
## batch_size * 4
iterable
=
True
,
...
...
@@ -169,13 +170,13 @@ def infer(args):
model
=
DCGAN_model
(
args
.
n_samples
)
fake
=
model
.
network_G
(
noise
,
name
=
"G"
)
elif
args
.
model_net
==
'SPADE'
:
label_shape
=
[
-
1
,
args
.
label_nc
,
args
.
crop_height
,
args
.
crop_width
]
spade_data_shape
=
[
-
1
,
1
,
args
.
crop_height
,
args
.
crop_width
]
label_shape
=
[
None
,
args
.
label_nc
,
args
.
crop_height
,
args
.
crop_width
]
spade_data_shape
=
[
None
,
1
,
args
.
crop_height
,
args
.
crop_width
]
from
network.SPADE_network
import
SPADE_model
model
=
SPADE_model
()
input_label
=
fluid
.
layers
.
data
(
input_label
=
fluid
.
data
(
name
=
'input_label'
,
shape
=
label_shape
,
dtype
=
'float32'
)
input_ins
=
fluid
.
layers
.
data
(
input_ins
=
fluid
.
data
(
name
=
'input_ins'
,
shape
=
spade_data_shape
,
dtype
=
'float32'
)
input_
=
fluid
.
layers
.
concat
([
input_label
,
input_ins
],
1
)
fake
=
model
.
network_G
(
input_
,
"generator"
,
cfg
=
args
,
is_test
=
True
)
...
...
@@ -298,11 +299,11 @@ def infer(args):
batch_size
=
args
.
n_samples
,
mode
=
"VAL"
)
reader_test
=
test_reader
.
make_reader
(
args
,
return_name
=
True
)
py_reader
.
decorate
_batch_generator
(
loader
.
set
_batch_generator
(
reader_test
,
places
=
fluid
.
cuda_places
()
if
args
.
use_gpu
else
fluid
.
cpu_places
())
id2name
=
test_reader
.
id2name
for
data
in
py_re
ader
():
for
data
in
lo
ader
():
real_img
,
image_name
=
data
[
0
][
'input'
],
data
[
0
][
'image_name'
]
image_name
=
id2name
[
np
.
array
(
image_name
).
astype
(
'int32'
)[
0
]]
print
(
"read: "
,
image_name
)
...
...
@@ -387,4 +388,5 @@ if __name__ == "__main__":
args
=
parser
.
parse_args
()
print_arguments
(
args
)
check_gpu
(
args
.
use_gpu
)
check_version
()
infer
(
args
)
PaddleCV/PaddleGAN/requirements.txt
浏览文件 @
b1673312
imageio
numpy >= 1.15.0
PaddleCV/PaddleGAN/train.py
浏览文件 @
b1673312
...
...
@@ -66,6 +66,7 @@ if __name__ == "__main__":
cfg
=
config
.
parse_args
()
config
.
print_arguments
(
cfg
)
utility
.
check_gpu
(
cfg
.
use_gpu
)
utility
.
check_version
()
if
cfg
.
profile
:
if
cfg
.
use_gpu
:
with
fluid
.
profiler
.
profiler
(
'All'
,
'total'
,
...
...
PaddleCV/PaddleGAN/trainer/AttGAN.py
浏览文件 @
b1673312
...
...
@@ -270,18 +270,18 @@ class AttGAN(object):
self
.
id2name
=
id2name
def
build_model
(
self
):
data_shape
=
[
-
1
,
3
,
self
.
cfg
.
image_size
,
self
.
cfg
.
image_size
]
data_shape
=
[
None
,
3
,
self
.
cfg
.
image_size
,
self
.
cfg
.
image_size
]
image_real
=
fluid
.
layers
.
data
(
image_real
=
fluid
.
data
(
name
=
'image_real'
,
shape
=
data_shape
,
dtype
=
'float32'
)
label_org
=
fluid
.
layers
.
data
(
name
=
'label_org'
,
shape
=
[
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_trg
=
fluid
.
layers
.
data
(
name
=
'label_trg'
,
shape
=
[
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_org_
=
fluid
.
layers
.
data
(
name
=
'label_org_'
,
shape
=
[
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_trg_
=
fluid
.
layers
.
data
(
name
=
'label_trg_'
,
shape
=
[
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_org
=
fluid
.
data
(
name
=
'label_org'
,
shape
=
[
None
,
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_trg
=
fluid
.
data
(
name
=
'label_trg'
,
shape
=
[
None
,
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_org_
=
fluid
.
data
(
name
=
'label_org_'
,
shape
=
[
None
,
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_trg_
=
fluid
.
data
(
name
=
'label_trg_'
,
shape
=
[
None
,
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
py_reader
=
fluid
.
io
.
PyReader
(
feed_list
=
[
image_real
,
label_org
,
label_trg
],
...
...
@@ -369,9 +369,9 @@ class AttGAN(object):
batch_id
+=
1
if
self
.
cfg
.
run_test
:
image_name
=
fluid
.
layers
.
data
(
image_name
=
fluid
.
data
(
name
=
'image_name'
,
shape
=
[
self
.
cfg
.
n_samples
],
shape
=
[
None
,
self
.
cfg
.
n_samples
],
dtype
=
'int32'
)
test_py_reader
=
fluid
.
io
.
PyReader
(
feed_list
=
[
image_real
,
label_org
,
label_trg
,
image_name
],
...
...
PaddleCV/PaddleGAN/trainer/CGAN.py
浏览文件 @
b1673312
...
...
@@ -88,12 +88,12 @@ class CGAN(object):
def
build_model
(
self
):
img
=
fluid
.
layers
.
data
(
name
=
'img'
,
shape
=
[
784
],
dtype
=
'float32'
)
condition
=
fluid
.
layers
.
data
(
name
=
'condition'
,
shape
=
[
1
],
dtype
=
'float32'
)
noise
=
fluid
.
layers
.
data
(
name
=
'noise'
,
shape
=
[
self
.
cfg
.
noise_size
],
dtype
=
'float32'
)
label
=
fluid
.
layers
.
data
(
name
=
'label'
,
shape
=
[
1
],
dtype
=
'float32'
)
img
=
fluid
.
data
(
name
=
'img'
,
shape
=
[
None
,
784
],
dtype
=
'float32'
)
condition
=
fluid
.
data
(
name
=
'condition'
,
shape
=
[
None
,
1
],
dtype
=
'float32'
)
noise
=
fluid
.
data
(
name
=
'noise'
,
shape
=
[
None
,
self
.
cfg
.
noise_size
],
dtype
=
'float32'
)
label
=
fluid
.
data
(
name
=
'label'
,
shape
=
[
None
,
1
],
dtype
=
'float32'
)
g_trainer
=
GTrainer
(
noise
,
condition
,
self
.
cfg
)
d_trainer
=
DTrainer
(
img
,
condition
,
label
,
self
.
cfg
)
...
...
PaddleCV/PaddleGAN/trainer/CycleGAN.py
浏览文件 @
b1673312
...
...
@@ -229,15 +229,13 @@ class CycleGAN(object):
self
.
B_id2name
=
B_id2name
def
build_model
(
self
):
data_shape
=
[
-
1
,
3
,
self
.
cfg
.
crop_size
,
self
.
cfg
.
crop_size
]
data_shape
=
[
None
,
3
,
self
.
cfg
.
crop_size
,
self
.
cfg
.
crop_size
]
input_A
=
fluid
.
layers
.
data
(
name
=
'input_A'
,
shape
=
data_shape
,
dtype
=
'float32'
)
input_B
=
fluid
.
layers
.
data
(
name
=
'input_B'
,
shape
=
data_shape
,
dtype
=
'float32'
)
fake_pool_A
=
fluid
.
layers
.
data
(
input_A
=
fluid
.
data
(
name
=
'input_A'
,
shape
=
data_shape
,
dtype
=
'float32'
)
input_B
=
fluid
.
data
(
name
=
'input_B'
,
shape
=
data_shape
,
dtype
=
'float32'
)
fake_pool_A
=
fluid
.
data
(
name
=
'fake_pool_A'
,
shape
=
data_shape
,
dtype
=
'float32'
)
fake_pool_B
=
fluid
.
layers
.
data
(
fake_pool_B
=
fluid
.
data
(
name
=
'fake_pool_B'
,
shape
=
data_shape
,
dtype
=
'float32'
)
A_py_reader
=
fluid
.
io
.
PyReader
(
...
...
@@ -348,10 +346,10 @@ class CycleGAN(object):
batch_id
+=
1
if
self
.
cfg
.
run_test
:
A_image_name
=
fluid
.
layers
.
data
(
name
=
'A_image_name'
,
shape
=
[
1
],
dtype
=
'int32'
)
B_image_name
=
fluid
.
layers
.
data
(
name
=
'B_image_name'
,
shape
=
[
1
],
dtype
=
'int32'
)
A_image_name
=
fluid
.
data
(
name
=
'A_image_name'
,
shape
=
[
None
,
1
],
dtype
=
'int32'
)
B_image_name
=
fluid
.
data
(
name
=
'B_image_name'
,
shape
=
[
None
,
1
],
dtype
=
'int32'
)
A_test_py_reader
=
fluid
.
io
.
PyReader
(
feed_list
=
[
input_A
,
A_image_name
],
capacity
=
4
,
...
...
PaddleCV/PaddleGAN/trainer/DCGAN.py
浏览文件 @
b1673312
...
...
@@ -86,10 +86,10 @@ class DCGAN(object):
self
.
train_reader
=
train_reader
def
build_model
(
self
):
img
=
fluid
.
layers
.
data
(
name
=
'img'
,
shape
=
[
784
],
dtype
=
'float32'
)
noise
=
fluid
.
layers
.
data
(
name
=
'noise'
,
shape
=
[
self
.
cfg
.
noise_size
],
dtype
=
'float32'
)
label
=
fluid
.
layers
.
data
(
name
=
'label'
,
shape
=
[
1
],
dtype
=
'float32'
)
img
=
fluid
.
data
(
name
=
'img'
,
shape
=
[
None
,
784
],
dtype
=
'float32'
)
noise
=
fluid
.
data
(
name
=
'noise'
,
shape
=
[
None
,
self
.
cfg
.
noise_size
],
dtype
=
'float32'
)
label
=
fluid
.
data
(
name
=
'label'
,
shape
=
[
None
,
1
],
dtype
=
'float32'
)
g_trainer
=
GTrainer
(
noise
,
label
,
self
.
cfg
)
d_trainer
=
DTrainer
(
img
,
label
,
self
.
cfg
)
...
...
PaddleCV/PaddleGAN/trainer/Pix2pix.py
浏览文件 @
b1673312
...
...
@@ -211,18 +211,16 @@ class Pix2pix(object):
self
.
id2name
=
id2name
def
build_model
(
self
):
data_shape
=
[
-
1
,
3
,
self
.
cfg
.
crop_size
,
self
.
cfg
.
crop_size
]
data_shape
=
[
None
,
3
,
self
.
cfg
.
crop_size
,
self
.
cfg
.
crop_size
]
input_A
=
fluid
.
layers
.
data
(
name
=
'input_A'
,
shape
=
data_shape
,
dtype
=
'float32'
)
input_B
=
fluid
.
layers
.
data
(
name
=
'input_B'
,
shape
=
data_shape
,
dtype
=
'float32'
)
input_fake
=
fluid
.
layers
.
data
(
input_A
=
fluid
.
data
(
name
=
'input_A'
,
shape
=
data_shape
,
dtype
=
'float32'
)
input_B
=
fluid
.
data
(
name
=
'input_B'
,
shape
=
data_shape
,
dtype
=
'float32'
)
input_fake
=
fluid
.
data
(
name
=
'input_fake'
,
shape
=
data_shape
,
dtype
=
'float32'
)
py_reader
=
fluid
.
io
.
PyReade
r
(
loader
=
fluid
.
io
.
DataLoader
.
from_generato
r
(
feed_list
=
[
input_A
,
input_B
],
capacity
=
4
,
## batch_size * 4
capacity
=
4
,
iterable
=
True
,
use_double_buffer
=
True
)
...
...
@@ -232,7 +230,7 @@ class Pix2pix(object):
# prepare environment
place
=
fluid
.
CUDAPlace
(
0
)
if
self
.
cfg
.
use_gpu
else
fluid
.
CPUPlace
()
py_reader
.
decorate
_batch_generator
(
loader
.
set
_batch_generator
(
self
.
train_reader
,
places
=
fluid
.
cuda_places
()
if
self
.
cfg
.
use_gpu
else
fluid
.
cpu_places
())
...
...
@@ -259,7 +257,7 @@ class Pix2pix(object):
for
epoch_id
in
range
(
self
.
cfg
.
epoch
):
batch_id
=
0
for
tensor
in
py_re
ader
():
for
tensor
in
lo
ader
():
s_time
=
time
.
time
()
tensor_A
,
tensor_B
=
tensor
[
0
][
'input_A'
],
tensor
[
0
][
'input_B'
]
...
...
@@ -298,16 +296,16 @@ class Pix2pix(object):
batch_id
+=
1
if
self
.
cfg
.
run_test
:
image_name
=
fluid
.
layers
.
data
(
image_name
=
fluid
.
data
(
name
=
'image_name'
,
shape
=
[
self
.
cfg
.
batch_size
],
shape
=
[
None
,
self
.
cfg
.
batch_size
],
dtype
=
"int32"
)
test_
py_reader
=
fluid
.
io
.
PyReade
r
(
test_
loader
=
fluid
.
io
.
DataLoader
.
from_generato
r
(
feed_list
=
[
input_A
,
input_B
,
image_name
],
capacity
=
4
,
## batch_size * 4
capacity
=
4
,
iterable
=
True
,
use_double_buffer
=
True
)
test_
py_reader
.
decorate
_batch_generator
(
test_
loader
.
set
_batch_generator
(
self
.
test_reader
,
places
=
fluid
.
cuda_places
()
if
self
.
cfg
.
use_gpu
else
fluid
.
cpu_places
())
...
...
@@ -319,7 +317,7 @@ class Pix2pix(object):
place
,
test_program
,
gen_trainer
,
test_
py_re
ader
,
test_
lo
ader
,
A_id2name
=
self
.
id2name
)
if
self
.
cfg
.
save_checkpoints
:
...
...
PaddleCV/PaddleGAN/trainer/SPADE.py
浏览文件 @
b1673312
...
...
@@ -284,19 +284,19 @@ class SPADE(object):
self
.
id2name
=
id2name
def
build_model
(
self
):
data_shape
=
[
-
1
,
3
,
self
.
cfg
.
crop_height
,
self
.
cfg
.
crop_width
]
data_shape
=
[
None
,
3
,
self
.
cfg
.
crop_height
,
self
.
cfg
.
crop_width
]
label_shape
=
[
-
1
,
self
.
cfg
.
label_nc
,
self
.
cfg
.
crop_height
,
self
.
cfg
.
crop_width
None
,
self
.
cfg
.
label_nc
,
self
.
cfg
.
crop_height
,
self
.
cfg
.
crop_width
]
edge_shape
=
[
-
1
,
1
,
self
.
cfg
.
crop_height
,
self
.
cfg
.
crop_width
]
edge_shape
=
[
None
,
1
,
self
.
cfg
.
crop_height
,
self
.
cfg
.
crop_width
]
input_A
=
fluid
.
layers
.
data
(
input_A
=
fluid
.
data
(
name
=
'input_label'
,
shape
=
label_shape
,
dtype
=
'float32'
)
input_B
=
fluid
.
layers
.
data
(
input_B
=
fluid
.
data
(
name
=
'input_img'
,
shape
=
data_shape
,
dtype
=
'float32'
)
input_C
=
fluid
.
layers
.
data
(
input_C
=
fluid
.
data
(
name
=
'input_ins'
,
shape
=
edge_shape
,
dtype
=
'float32'
)
input_fake
=
fluid
.
layers
.
data
(
input_fake
=
fluid
.
data
(
name
=
'input_fake'
,
shape
=
data_shape
,
dtype
=
'float32'
)
gen_trainer
=
GTrainer
(
input_A
,
input_B
,
input_C
,
self
.
cfg
,
...
...
@@ -394,9 +394,9 @@ class SPADE(object):
if
self
.
cfg
.
run_test
:
test_program
=
gen_trainer
.
infer_program
image_name
=
fluid
.
layers
.
data
(
image_name
=
fluid
.
data
(
name
=
'image_name'
,
shape
=
[
self
.
cfg
.
batch_size
],
shape
=
[
None
,
self
.
cfg
.
batch_size
],
dtype
=
"int32"
)
test_py_reader
=
fluid
.
io
.
PyReader
(
feed_list
=
[
input_A
,
input_B
,
input_C
,
image_name
],
...
...
PaddleCV/PaddleGAN/trainer/STGAN.py
浏览文件 @
b1673312
...
...
@@ -282,18 +282,18 @@ class STGAN(object):
self
.
batch_num
=
batch_num
def
build_model
(
self
):
data_shape
=
[
-
1
,
3
,
self
.
cfg
.
image_size
,
self
.
cfg
.
image_size
]
data_shape
=
[
None
,
3
,
self
.
cfg
.
image_size
,
self
.
cfg
.
image_size
]
image_real
=
fluid
.
layers
.
data
(
image_real
=
fluid
.
data
(
name
=
'image_real'
,
shape
=
data_shape
,
dtype
=
'float32'
)
label_org
=
fluid
.
layers
.
data
(
name
=
'label_org'
,
shape
=
[
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_trg
=
fluid
.
layers
.
data
(
name
=
'label_trg'
,
shape
=
[
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_org_
=
fluid
.
layers
.
data
(
name
=
'label_org_'
,
shape
=
[
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_trg_
=
fluid
.
layers
.
data
(
name
=
'label_trg_'
,
shape
=
[
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_org
=
fluid
.
data
(
name
=
'label_org'
,
shape
=
[
None
,
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_trg
=
fluid
.
data
(
name
=
'label_trg'
,
shape
=
[
None
,
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_org_
=
fluid
.
data
(
name
=
'label_org_'
,
shape
=
[
None
,
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_trg_
=
fluid
.
data
(
name
=
'label_trg_'
,
shape
=
[
None
,
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
test_gen_trainer
=
GTrainer
(
image_real
,
label_org
,
label_org_
,
label_trg
,
label_trg_
,
self
.
cfg
,
...
...
@@ -378,9 +378,9 @@ class STGAN(object):
batch_id
+=
1
if
self
.
cfg
.
run_test
:
image_name
=
fluid
.
layers
.
data
(
image_name
=
fluid
.
data
(
name
=
'image_name'
,
shape
=
[
self
.
cfg
.
n_samples
],
shape
=
[
None
,
self
.
cfg
.
n_samples
],
dtype
=
'int32'
)
test_py_reader
=
fluid
.
io
.
PyReader
(
feed_list
=
[
image_real
,
label_org
,
label_trg
,
image_name
],
...
...
PaddleCV/PaddleGAN/trainer/StarGAN.py
浏览文件 @
b1673312
...
...
@@ -259,14 +259,14 @@ class StarGAN(object):
self
.
batch_num
=
batch_num
def
build_model
(
self
):
data_shape
=
[
-
1
,
3
,
self
.
cfg
.
image_size
,
self
.
cfg
.
image_size
]
data_shape
=
[
None
,
3
,
self
.
cfg
.
image_size
,
self
.
cfg
.
image_size
]
image_real
=
fluid
.
layers
.
data
(
image_real
=
fluid
.
data
(
name
=
'image_real'
,
shape
=
data_shape
,
dtype
=
'float32'
)
label_org
=
fluid
.
layers
.
data
(
name
=
'label_org'
,
shape
=
[
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_trg
=
fluid
.
layers
.
data
(
name
=
'label_trg'
,
shape
=
[
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_org
=
fluid
.
data
(
name
=
'label_org'
,
shape
=
[
None
,
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
label_trg
=
fluid
.
data
(
name
=
'label_trg'
,
shape
=
[
None
,
self
.
cfg
.
c_dim
],
dtype
=
'float32'
)
py_reader
=
fluid
.
io
.
PyReader
(
feed_list
=
[
image_real
,
label_org
,
label_trg
],
...
...
@@ -346,9 +346,9 @@ class StarGAN(object):
batch_id
+=
1
if
self
.
cfg
.
run_test
:
image_name
=
fluid
.
layers
.
data
(
image_name
=
fluid
.
data
(
name
=
'image_name'
,
shape
=
[
self
.
cfg
.
n_samples
],
shape
=
[
None
,
self
.
cfg
.
n_samples
],
dtype
=
'int32'
)
test_py_reader
=
fluid
.
io
.
PyReader
(
feed_list
=
[
image_real
,
label_org
,
label_trg
,
image_name
],
...
...
PaddleCV/PaddleGAN/util/utility.py
浏览文件 @
b1673312
...
...
@@ -409,3 +409,19 @@ def check_gpu(use_gpu):
sys
.
exit
(
1
)
except
Exception
as
e
:
pass
def
check_version
():
"""
Log error and exit when the installed version of paddlepaddle is
not satisfied.
"""
err
=
"PaddlePaddle version 1.6 or higher is required, "
\
"or a suitable develop version is satisfied as well.
\n
"
\
"Please make sure the version is good with your code."
\
try
:
fluid
.
require_version
(
'1.6.0'
)
except
Exception
as
e
:
print
(
err
)
sys
.
exit
(
1
)
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