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Installation:

# install pip and virtualenv if necessary
curl -O https://raw.github.com/pypa/pip/master/contrib/get-pip.py
python get-pip.py
pip install virtualenv

# clone the repo and install dependencies
git clone https://github.com/StanfordVisionSystems/vfeedbacknet
cd vfeedbacknet
virtualenv .venv
source .venv/bin/activate
pip install -r requirements.txt

# install the vfeedbacknet library
python setup.py install

# download dataset (if training from scratch)
pip install twentybn-dl
twentybn-dl obtain jester
  Set storage directory [Enter for "/home/user/20bn-datasets"]:
  Using: '/home/user/20bn-datasets' as storage.
  Will now get chunks for: 'jester'
  Will now download chunks.
  Downloading: 'https://s3-eu-west-1.amazonaws.com/20bn-public-datasets/jester/v1/20bn-jester-v1-00'
  ...

Usage (code located in scripts directory):

example instruction

Inference using pretrained model:

example instruction

Training the model yourself:

example instruction

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