A tool for multi-modal annotation
- Improved reference image interface
- Improved image display on smaller resolution screens
Full Change Log and Development Roadmap
Nisaba is now available through PyPi. To install using pip, simply run the following command from your terminal:
pip install nisaba
After installation, run Nisaba using the command:
nisaba
If you wish to contribute to the development of Nisaba, clone and run from the source code using the following commands from your terminal:
git clone https://github.com/mhbeals/nisaba
cd nisaba
virtualenv .
source bin/activate
pip install -r requirements.txt
To run, use
cd nisaba
python __main__.py
or simply:
python -m nisaba
Nisaba was developed by M. H. Wood (previously Beals) (Loughborough University) to assist Olivia Mitchell (Loughborough University) in her PhD project (2017-2021).
Integration of Linked Open Data outputs was implemented with assistance from Albert Meroño Peñuela (Vrije Universiteit Amsterdam).
If you would like to contribute, please contact M. H. Wood (or submit a pull request!)