https://github.com/srvanrell/armetrics
Continuous activity recognition metrics based on (Ward et al, 2011)
https://github.com/srvanrell/armetrics
activity-recognition blocks continuous-activity event frame metrics segment
Last synced: 5 months ago
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Continuous activity recognition metrics based on (Ward et al, 2011)
- Host: GitHub
- URL: https://github.com/srvanrell/armetrics
- Owner: srvanrell
- Created: 2017-04-19T18:53:53.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2020-10-08T21:43:50.000Z (over 5 years ago)
- Last Synced: 2025-09-07T08:53:15.853Z (9 months ago)
- Topics: activity-recognition, blocks, continuous-activity, event, frame, metrics, segment
- Language: Python
- Homepage:
- Size: 620 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
armetrics
=========
Ongoing work...
Python implementation of some metrics proposed in:
J. A. Ward, P. Lukowicz, and H. W. Gellersen, “Performance Metrics for Activity Recognition,” ACM Trans. Intell. Syst. Technol., vol. 2, no. 1, p. 6:1–6:23, Jan. 2011.
Installation
------------
This system has been developed for a Linux environment.
System-wide installation
sudo pip3 install armetrics
Single-user installation
pip3 install --user armetrics
Virtualenv installation (recommended)
pipenv install armetrics
Uninstallation
[sudo] pip3 uninstall armetrics
Update
------
System-wide update
sudo pip3 install -U armetrics
Single-user update (recommended)
pip3 install --user -U armetrics
Usage
-----
There are two examples (that should be improved)
Development
-----------
Install locally from source (source directory will immediately affect the installed package
without needing to re-install):
pip3 install --user --editable .
Update version at `setup.py` and then create a source distribution
python3 setup.py sdist
Upload to PyPI
twine upload dist/*