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PaddleGAN
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PaddleGAN
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069ee192
编写于
2月 09, 2021
作者:
L
LielinJiang
提交者:
GitHub
2月 09, 2021
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update docs configs (#161)
上级
f85a6c20
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
25 addition
and
3 deletion
+25
-3
README.md
README.md
+2
-0
README_cn.md
README_cn.md
+2
-0
configs/esrgan_psnr_x4_div2k.yaml
configs/esrgan_psnr_x4_div2k.yaml
+2
-2
docs/en_US/tutorials/super_resolution.md
docs/en_US/tutorials/super_resolution.md
+19
-1
未找到文件。
README.md
浏览文件 @
069ee192
...
@@ -45,6 +45,8 @@ GAN-Generative Adversarial Network, was praised by "the Father of Convolutional
...
@@ -45,6 +45,8 @@ GAN-Generative Adversarial Network, was praised by "the Father of Convolutional
*
[
Photo2Cartoon
](
./docs/en_US/tutorials/photo2cartoon.md
)
*
[
Photo2Cartoon
](
./docs/en_US/tutorials/photo2cartoon.md
)
*
[
Wav2Lip
](
./docs/en_US/tutorials/wav2lip.md
)
*
[
Wav2Lip
](
./docs/en_US/tutorials/wav2lip.md
)
*
[
Super_Resolution
](
./docs/en_US/tutorials/super_resolution.md
)
*
[
Super_Resolution
](
./docs/en_US/tutorials/super_resolution.md
)
*
[
StyleGAN2
](
./docs/en_US/tutorials/styleganv2.md
)
## Composite Application
## Composite Application
...
...
README_cn.md
浏览文件 @
069ee192
...
@@ -46,6 +46,8 @@ GAN--生成对抗网络,被“卷积网络之父”**Yann LeCun(杨立昆)
...
@@ -46,6 +46,8 @@ GAN--生成对抗网络,被“卷积网络之父”**Yann LeCun(杨立昆)
*
[
Photo2Cartoon
](
docs/zh_CN/tutorials/photo2cartoon.md
)
*
[
Photo2Cartoon
](
docs/zh_CN/tutorials/photo2cartoon.md
)
*
[
Wav2Lip
](
docs/zh_CN/tutorials/wav2lip.md
)
*
[
Wav2Lip
](
docs/zh_CN/tutorials/wav2lip.md
)
*
[
Super_Resolution
](
./docs/en_US/tutorials/super_resolution.md
)
*
[
Super_Resolution
](
./docs/en_US/tutorials/super_resolution.md
)
*
[
StyleGAN2
](
./docs/en_US/tutorials/styleganv2.md
)
## 复合应用
## 复合应用
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configs/esrgan_psnr_x4_div2k.yaml
浏览文件 @
069ee192
...
@@ -18,8 +18,8 @@ model:
...
@@ -18,8 +18,8 @@ model:
dataset
:
dataset
:
train
:
train
:
name
:
SRDataset
name
:
SRDataset
gt_folder
:
data/DIV2K/DIV2K_train_HR
gt_folder
:
data/DIV2K/DIV2K_train_HR
_sub
lq_folder
:
data/DIV2K/DIV2K_train_LR_bicubic/X4
lq_folder
:
data/DIV2K/DIV2K_train_LR_bicubic/X4
_sub
num_workers
:
4
num_workers
:
4
batch_size
:
16
batch_size
:
16
scale
:
4
scale
:
4
...
...
docs/en_US/tutorials/super_resolution.md
浏览文件 @
069ee192
...
@@ -51,8 +51,26 @@
...
@@ -51,8 +51,26 @@
```
```
python data/process_div2k_data.py --data-root data/DIV2K
python data/process_div2k_data.py --data-root data/DIV2K
```
```
When the program is finished, check whether there are
``DIV2K_train_HR_sub``
,
``X2_sub``
,
``X3_sub``
and
``X4_sub``
directories in the DIV2K directory
```
PaddleGAN
├── data
├── DIV2K
├── DIV2K_train_HR
├── DIV2K_train_HR_sub
├── DIV2K_train_LR_bicubic
| ├──X2
| ├──X2_sub
| ├──X3
| ├──X3_sub
| ├──sX4
| └──X4_sub
├── DIV2K_valid_HR
├── DIV2K_valid_LR_bicubic
...
```
Prepare dataset for realsr df2k model:
#### Prepare dataset for realsr df2k model
Download dataset from
[
NTIRE 2020 RWSR
](
https://competitions.codalab.org/competitions/22220#participate
)
and unzip it to your path.
Download dataset from
[
NTIRE 2020 RWSR
](
https://competitions.codalab.org/competitions/22220#participate
)
and unzip it to your path.
Unzip Corrupted-tr-x.zip and Corrupted-tr-y.zip to
``PaddleGAN/data/ntire20``
directory.
Unzip Corrupted-tr-x.zip and Corrupted-tr-y.zip to
``PaddleGAN/data/ntire20``
directory.
...
...
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