Difference between revisions of "Projects:Software framework for multi-sensory environments"
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Closely related to [[Projects:Improve tracking of individual markers and marker patterns]] and [[Projects:Augment marker tracking with visual tracking]]. | Closely related to [[Projects:Improve tracking of individual markers and marker patterns]] and [[Projects:Augment marker tracking with visual tracking]]. | ||
| − | Details:[[file:Cluster-Medium-Project-Grant_HemalNaik.pdf | + | Details:[[file:Cluster-Medium-Project-Grant_HemalNaik.pdf]] |
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== Features == | == Features == | ||
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== Example code == | == Example code == | ||
Revision as of 13:17, 25 November 2020
Overview
The purpose of this project is to develop of a software framework that will allow effective use of experimental facilities with multiple sensors e.g. imaging barn. The framework will standardize the process of synchronized data collection, data sharing (formats) and data manipulation (processing). Such standardization will promote collaborative development and support technology or methods transfer between different facilities i.e. Barn, Imaging Hangar, human tracking facility at Psychology Dept.
Closely related to Projects:Improve tracking of individual markers and marker patterns and Projects:Augment marker tracking with visual tracking.
Details:File:Cluster-Medium-Project-Grant HemalNaik.pdf
Contact
- Hemal Naik, hnaik@ab.mpg.de
- Mathias Günther (long term support), mathias.guenther@uni-konstanz.de
Collaborators
- Oliver Deussen (host)
- Iain Couzin
- Britta Renner
- Mate Nagy, mnagy@ab.mpg.de
- Bastian Goldluecke, bastian.goldluecke@uni-konstanz.de
Aims
The main aim of the project is to have a repository with useful code snippets that allow users to quickly use the data generated in the imaging facilities. The code will ideally work as base code on top of which user can build their own project.
Features
- Reading VICON Data Vicon:Data format documentation
Example code
Test Data
Give a specific description of the datasets you provide or can provide which people need to use to solve your problem. If available and/or necessary, also suggest some means for reading the data format. If you can provide links to the data so people can download an take a look, all the better. Also list any known limitations, whether you can easily acquire/record new data, or any other useful information.
Note: Once the CCU server is up and running, datasets should be stored there for easy availability. See the howtos on storage for details.