A tool for multi-modal annotation
Project description
Nisaba 0.3.4
A tool for multi-modal annotation
Most Recent Update
Nisaba 0.3.4
- Improved layout for low resolution screens
- Some bug fixes throughout
Full Change Log and Development Roadmap
Easy (PIP) Installation:
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
Contributing
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
Development History
Nisaba was conceived by M. H. Beals (Loughborough University) and Olivia Mitchell (Loughborough University) as part of her PhD project (2017-present).
Initial development of the software (v.0.1.0) was undertaken by M. H. Beals in 2018-2019.
The project is now being developed by M. H. Beals and Albert Meroño Peñuela (Vrije Universiteit Amsterdam). If you would like to contribute, please contact M. H. Beals (or submit a pull request!)
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
File details
Details for the file nisaba-0.3.4.tar.gz.
File metadata
- Download URL: nisaba-0.3.4.tar.gz
- Upload date:
- Size: 305.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 013d3771e2893e25fa70a08d8ecd574110de50b445b26e9a191acf8362fbd118 |
|
| MD5 | 5d29f5758d164d762f96ca5adafa41b1 |
|
| BLAKE2b-256 | 65d73708aef1c7a5d7fb3140bfe9cbb45e395e684d016b41d8b4d5cb61b7eddd |
