Sparse-Adversarial-Perturbations-PyTorch

This is the PyTorch implementation of the paper 'Sparse Adversarial Perturbations for Videos'. The official Tensorflow code is used as reference for writing this implementation.

This code requires Python3 and requirements.txt contains all its other dependencies. Run the following command to install all these requirements:

pip install -r requirements.txt

To run the code, use the following command:

python l21_optimization.py --input_dir data/UCF-101-frames --split_path data/ucfTrainTestlist --checkpoint_model ConvLSTM_150.pth

Please refer to the following link for the code for the processing of UCF-101 dataset and its target network: https://github.com/eriklindernoren/Action-Recognition

You can find the checkpoint model for CNN+LSTM model on this link too.