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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