train_video_prediction.py
- Trains a model for the task of video prediction on the UCF101build_classification_dataset.py
- Runs videos through the trained video prediction model and stores the intermediate tensors to be used for classifying actionstrain_video_classification.py
- Use the saved intermediate tensors and classify actions.generate_gif.py
- Iterates through a few videos of the dataset and generates 6 image frames :- 3 seed frames and 3 predicted frames.tune_hyperparams.py
- Hyperparameter tuning using Ray Tune
resources/config/user-{linux_or_windows_user}.json
- create a similar configuration file specifying the UCF101 dataset location, number of workers for processing, classification dataset directory, etc
-
Make sure you have created a user config.
-
Please set the
PYTHONPATH
environment variable in order to run the scripts. -
You can execute each script by calling
python script_file.py