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Master project for MSIT 2024 - Towards Efficient Human Action Recognition: The Role of Keyframe Selection in Video Processing

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martinwholtmon/IT3920-2024-Master-MSIT

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IT3920-2024-Master-MSIT

Environment

To setup your environment, make sure that you have a NVIDIA GPU with support for CUDA 12.1+.

  • conda env create -f conda_env.yaml
  • conda activate torch2.2

Then, read the documentation on the datasets to download, prepare and generate annotation files to be able to train the models.

Train The Model

See python experiment.py --help for help on how to run the experiments. For example configuration, see the scripts/slurm/example.slurm.

Extract keyframes

See python extract_keyframes.py --help for help on how to extract keyframes.

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Master project for MSIT 2024 - Towards Efficient Human Action Recognition: The Role of Keyframe Selection in Video Processing

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