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 -i https://test.pypi.org/simple/ CogEnvDecoder==0.0.7 ##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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
CogEnvDecoder-0.1.14.tar.gz
(4.9 kB
view hashes)
Built Distribution
Close
Hashes for CogEnvDecoder-0.1.14-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 06048cbe6ed404102ca3bc2a1d01f99a9449ae8ca92941d1df50f2492f3452ab |
|
MD5 | d2c59f5d41de8bac0215d74f61a5c1b0 |
|
BLAKE2b-256 | cb93e732cf90bf9b27cb082504d8a3f2ac3767cbcb236c85105e8e98e36dce15 |