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
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-0.1.26.tar.gz
(7.7 kB
view details)
Built Distribution
File details
Details for the file CogEnvDecoder-0.1.26.tar.gz
.
File metadata
- Download URL: CogEnvDecoder-0.1.26.tar.gz
- Upload date:
- Size: 7.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6bfc12f273ac8157278c3b4f223f1ea287e0bb160905f690f200f2cfd373dcd5 |
|
MD5 | 89f9c1880989693938357bbc5f549738 |
|
BLAKE2b-256 | 052a74c94bd5af5b02124d14958905afdf68b3317cc2f0333135f00e249fe936 |
File details
Details for the file CogEnvDecoder-0.1.26-py3-none-any.whl
.
File metadata
- Download URL: CogEnvDecoder-0.1.26-py3-none-any.whl
- Upload date:
- Size: 8.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8a6df420c6ae8339f143ebe3a02a0310754b6964ecfd6e0189019d6893769cd8 |
|
MD5 | 094544039a4161fc8f36c38e54e99823 |
|
BLAKE2b-256 | 7ea6e63018bf7be346b4757063599d66cf8ac4c374bd4c158a02f714f01cb03e |