Continuous Activity Recognition Metrics based on (Ward et al, 2011)
Project description
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 three examples in the repo (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 bdist_wheel
Upload to PyPI
twine upload dist/*
Project details
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
Built Distribution
Hashes for armetrics-0.1.14-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a5542ded1421077fcd741198fb71178b3c93073ed1fb1fdf2e8502528dcfbea5 |
|
MD5 | 8f0cb07d6649cfe138d2759188fe3da9 |
|
BLAKE2b-256 | 9fad1650d8a4065c84046605467beceea8c1ed45e0e80214247ab95dc00dbfed |