Skip to content

Convolutional LSTM implemented with chainer

License

Notifications You must be signed in to change notification settings

MasaEguchi/ConvLSTM

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ConvLSTM

Convolutional LSTM implemented with chainer

python 3.5.2 + chainer 3.0.0

Getting dataset

$ ./get-moving-mnist.sh

Training

$ python3 ./train.py -g 0 --epoch 10 --inf 3 --outf 3 --batch 16

Generating

$ mkdir img
$ python3 ./generate.py --model results/model --id 7000 --inf 3 --outf 3

Then, the images are generated in img/.

$ mkdir img
$ wget -O model https://www.dropbox.com/s/pthwoljp8qq3o30/model?dl=0
$ python3 ./generate.py --model model --id 7000 --inf 3 --outf 3

Or, you can try ConvLSTM with the pre-trained model.

Gallery

7000_cap

7001

7002

7003

7004

About

Convolutional LSTM implemented with chainer

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.0%
  • Shell 1.0%