Using an OptiTrack system for different applications of the SoundScape Renderer
Project description
This python package provides the necessary tools to use an OptiTrack optical tracking system for different applications of the SoundScape Renderer (SSR) including listener position and orientation tracking in local sound field synthesis.
It contains several modules including a module to connect to the OptiTrack system (opti_client) and a seperate one to connect to and control instances of the SSR (ssr_client). The module that connects these aforementioned ones and implements sequence and desired functionality is also part of the package (bridges).
Note that the optirx 1.10 library is included here with only minor changes from the original source and that the modules ssr_client and opti_client respectively are designed to be used independently in other projects as well.
- Documentation:
- Source code:
- Python Package Index:
- Example files to set up the SSR:
- License:
MIT – see the file LICENSE for details.
Installation
Aside from Python itself, NumPy and pyquaternion are needed. It should work with both Python3 as well as Python2.
The easiest way to install this package is using pip to download the latest release from PyPi:
pip install opti_ssr
Usage
To use opti_ssr you can use a demo function like the basic one below. Simply instantiate the necessary class objects according to the given parameters and start the thread in the class that contains the functionality. Ready-to-use demo functions to demonstrate head orientation tracking in binaural synthesis or listener tracking in local sound field synthesis are available at the github repository. The SoundScape Renderer has to be started prior to opti_ssr.
import opti_ssr def demo(ssr_ip, ssr_port, opti_unicast_ip, opti_multicast_ip, opti_port, ssr_end_message): optitrack = opti_ssr.OptiTrackClient(opti_unicast_ip, opti_multicast_ip, opti_port) ssr = opti_ssr.SSRClient(ssr_ip, ssr_port, ssr_end_message) headtracker = opti_ssr.HeadTracker(optitrack, ssr) headtracker.start() if __name__ == "__main__": demo()
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file opti_ssr-0.1.4.tar.gz
.
File metadata
- Download URL: opti_ssr-0.1.4.tar.gz
- Upload date:
- Size: 11.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 897dd2c3e07dec5cc3535dea178d957fd8a402b6721e415efd61ca0078e1b8bb |
|
MD5 | a793989b4e3dea4f1e0c5670b67aeccf |
|
BLAKE2b-256 | 7f52b4bb773c23cc2f1c881e534260581cf4392c6dca0242d21de5877c36a1a9 |
File details
Details for the file opti_ssr-0.1.4-py2.py3-none-any.whl
.
File metadata
- Download URL: opti_ssr-0.1.4-py2.py3-none-any.whl
- Upload date:
- Size: 13.6 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7d12c4c07e4d1de027dfb42400d70009da9158f0dd4f75344265ef320b37ddad |
|
MD5 | b1f08040bcee7286327dd147676d5aa5 |
|
BLAKE2b-256 | 4d717394e716a7fc63f803d65777f0fe0fe28a6b8fde46de1db01076cc90f257 |