The Tensorflow implementation of "Order Matters: Shuffling Sequence Generation for Video Prediction" (BMVC2019) by Junyan Wang, Bingzhang Hu, Yang Long, Yu Guan.
- Python: 3.6.8
- Tensorflow: 1.12.0
- The preprocessed KTH dataset can be downloaded from https://www.dropbox.com/sh/bad23wroxv7pmvl/AAB-8OIipqnHSdOHpB9z72iEa?dl=0
- The pretrained SEENet Model is in
./pretrained
folder.
Make a directory ./models
for saving models and a directory ./logs
for saving logs.
To train motion and content features:
python3 ./src/main.py --train_feature True
To train predict part:
python3 ./src/main.py --train_feature False
The predicted samples can be seen in ./samples
folder. The detailed arguments can be set up in ./src/args.py
python3 ./src/main.py --test True
The test predicted samples can be seen in ./samples/test
folder
If you use this code or reference our paper in your work please cite this publication as: