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For decoding observation data from Cog virtual environment

Project description

Background

This is a package for COG participants to get necessary image and vector data to train and test their models. ##Install pip install CogEnvDecoder ##Usages The code is able to get observations generated from ml-agents in the COG stimulation environment. With the code, you can get:

  • Blue one rover
    • Image generated from virtual camera setted up on Blue one
    • Blue one rover position & angle
    • Enemy rover position & angle
    • Remaining HP & bullets
    • Goals' position
  • Judgement system information
    • Current score
    • Number of goals have been achieved
    • Whether enemy rover has been activated
    • Enemy rover remaining HP & bullets
    • Blue one caused damage
    • Time passed in the round
    • collision information

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