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Video Modeling

Currently, we provide the following models:

  • rnnl1: 1-hidden-layer RNN
  • rnnl2: 2-hidden-layer RNN
  • rnnl1gc: 1-hidden-layer RNN with grammar-cell mapping units as input
  • rnnl2gc: 2-hidden-layer RNN with grammar-cell mapping units as input

Setup

change the path_to_project_folder to the folder you store optical-flow-pred in

  • scripts/*.sh
  • all the hyperParam.py in the examples you will run

Data Generation

  1. Bouncing Balls
cd data/bouncing_balls_generator
bash run.sh

Training

cd examples/name_of_model
bash run.sh

Visualize

After the training, you could visualize the prediction results by:

bash visualize.sh

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Optical flow prediction

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