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Authored by
yunjey
2017-01-22 04:10:33 +0900
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GitHub
2017-01-22 04:10:33 +0900
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8fd396d937774fd425f6d5585ece9b51040c2193
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@@ -6,40 +6,42 @@ TensorFlow implementation of [Unsupervised Cross-Domain Image Generation.](https
*
Python 2.7
*
[
TensorFlow 0.12
](
https://github.com/tensorflow/tensorflow/tree/r0.12
)
<br>
## Usage
Clone the repository
####
Clone the repository
```
bash
git clone https://github.com/yunjey/dtn-tensorflow.git
cd
dtn-tensorflow
$
git clone https://github.com/yunjey/dtn-tensorflow.git
$
cd
dtn-tensorflow
```
Download the dataset
####
Download the dataset
```
bash
chmod +x download.sh
./download.sh
$
chmod +x download.sh
$
./download.sh
```
Resize MNIST dataset to 32x32
####
Resize MNIST dataset to 32x32
```
bash
python prepro.py
$
python prepro.py
```
Pretrain the model f
####
Pretrain the model f
```
bash
python main.py --mode
=
'pretrain'
$
python main.py --mode
=
'pretrain'
```
Train the model G and D
####
Train the model G and D
```
bash
python main.py --mode
=
'train'
$
python main.py --mode
=
'train'
```
Transfer SVHN to MNIST
####
Transfer SVHN to MNIST
```
bash
python main.py --mode
=
'eval'
$
python main.py --mode
=
'eval'
```
<br>
## Results
![
alt text
](
jpg/svhn_mnist.gif
)
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