StackGAN

Implementation of "なんちゃって" StackGAN model using Keras.

Discription

"なんちゃって" is a phrase that means that it is not genuine.

Requirements

Python 3.0 or newer
Keras 2.0 or newer (Tensorflow backend)
Pillow
numpy
tqdm
h5py

Getting started

Clone this repository:

git clone https://github.com/kcct-fujimotolab/StackGAN.git
cd StackGAN/

Make a directory for data sets:

mkdir images

Collect images (more than 2000-3000 works better):

ls images/
data0000.jpg   data0001.jpg   ...   data9999.jpg

Start training by specifying image size, number of epochs, data set directory, etc.:

python train.py --input images/ --size 128 128 --epoch 5000

Options

--help -h: show information

train.py

--input -i: data sets path (default -i images/)
--size -z: image size during training, 2 values required, must be multiples of 8 (default -z 128 128)
--epoch -e: number of epochs (default -e 3000)
--batch -b: batch size (default -b 64)
--dim -d: input dimension of generator (default -d 100)
--output -o: output directory path (default -o gen/)
--save -s: taking snapshot interval (default -s 100)

Results

We extracted 4096 images from the face data provided by Labeled Faces in the Wild, and trained with Keras model.

1000 epochs

2000 epochs

4000 epochs

6000 epochs

Author

Fujimoto Lab at Kobe City College of Technology
Undergraduate Student of Electronics Department
@yoidea

License

kcct-fujimotolab/minimum-StackGAN

ErrorLooks like something went wrong!

About

Topics

Resources

License

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Languages

Error
Looks like something went wrong!

Packages