/ml_blink_evaluation

Code for evaluating the ML-Blink algorithm in isolation

Primary LanguagePython

ml_blink

Code for evaluating the ML-Blink algorithm in isolation

Usage

  brew install pipenv
  • Run pipenv install to install dependencies
  • Unzip the beta-pack dataset images (PanSTARRS_ltd and USNO1001) in /images in their corresponding directories
  • Run pipenv shell to activate the environment
  • Run evaluation script (replace <num_projections> and <num_time_stpes> as desired)
  python ml_blink.py <num_projections> <num_time_steps>