Skip to main content
https://github.com/German-BioImaging/omero-autotag/workflows/PyPI/badge.svg https://badge.fury.io/py/omero-autotag.svg

OMERO.autotag

OMERO.autotag is a plugin for OMERO.web that automates the application of tags to images based on the original filename, path, and extensions of the images.

This was formerly part of OMERO.webtagging, the umbrella name for tools developed to enhance use of text annotations (tags) in OMERO.

Requirements

As Python 2 has now reached end-of-life, OMERO 5.6 now requires Python 3. With release 3.1.0 of autotag, the following are now required. To use autotag on older OMERO systems (running Python 2), please use versions older than 3.1.0.

  • Python 3.8 or later

  • omero-web 5.6 or later

  • django 4.2 or later

User Documentation

http://help.openmicroscopy.org/web-tagging.html

Installation

The recommended way to install autotag is using pip, but it is also possible to install it manually as described here.

# In the python environment of OMERO.web (virtualenv or global)
pip install omero-autotag

# Add autotag to webclient
omero config append omero.web.apps '"omero_autotag"'

# Add autotag to centre panel
omero config append omero.web.ui.center_plugins '["Auto Tag", "omero_autotag/auto_tag_init.js.html", "auto_tag_panel"]'

Upgrade from omero-webtagging-autotag to omero-autotag

Since 3.2.2, the package was renamed to omero-autotag. This is a breaking change for OMERO.web, as the old package must be removed from the OMERO.web config and replaced by the new package.

You can perform the upgrade as follow:

# stop omero web
# Install the new package and uninstall the old one
pip uninstall omero-webtagging-autotag
pip install omero-autotag

# Then open the OMERO.web configuration editor
omero config edit
# Update the two configurations called 'omero.web.apps' and 'omero.web.ui.center_plugins'
# In 'omero.web.apps': 'omero_webtagging_autotag' -> 'omero_autotag'
# In 'omero.web.ui.center_plugins': '["Auto Tag", "omero_webtagging_autotag/auto_tag_init.js.html", "auto_tag_panel"]' -> '["Auto Tag", "omero_autotag/auto_tag_init.js.html", "auto_tag_panel"]'
# start omero web

Note that installing the latest omero-webtagging-autotag is not functional but has a dependency on omero-autotag. Thus, if you wish to use the old version omero-webtagging-autotag, make sure to specify the latest working version:

# ONLY IF YOU WANT TO USE AN OLDER VERSION OF THE PLUGIN
# stop omero web
pip install omero-webtagging-autotag==3.2.0
# And set the configuration accordingly
# start omero web

Documentation

Available on the OMERO website.

Development

Uses node and webpack.

This will detect changes and rebuild static/autotag/js/bundle.js when there are any. This works in conjunction with django development server as that will be monitoring bundle.js for any changes.

To build the node components on changes

cd omero_webtagging_autotag
npm install
node_modules/webpack/bin/webpack.js --watch

To install using pip in development mode (in appropriate virtualenv)

# In the top-level autotag directory containing setup.py
pip install -e .
cd $OMERO_PREFIX

OMERO development server can then be started in the usual way. Remember to configure the autotag settings the same as above.

Project Maintenance

In 2014 as a part of the OME consortium, [Douglas Russell](http://github.com/dpwrussell) created OMERO.webtagging and handed over maintainence and development to German Bioimaging in September 2023.

Acknowledgements

OMERO.webtagging was created by Douglas P. W. Russell (dpwrussell@gmail.com) while at Oxford University and Harvard Medical School, then later extended by DPWR Consulting Ltd.

These plugins were developed originally with the support of Micron Advanced Bioimaging Unit funded by the Wellcome Trust Strategic Award 091911, and Open Microscopy.

Continued development was supported by The Laboratory of Systems Pharmacology, Harvard Medical School and Research Computing, Harvard Medical School.

Continued development was sponsored by Micron Advanced Bioimaging Unit funded by the Wellcome Trust Strategic Award 107457.

Metadata

Release files for omero-autotag 4.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for omero-autotag 4.3.0
File Size Uploaded Provenance Actions
omero_autotag-4.3.0.tar.gz 226.4 kB Without provenance Details for omero_autotag-4.3.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for omero-autotag 4.3.0
File Interpreter ABI Platform Actions
omero_autotag-4.3.0-py3-none-any.whl Python 3 none any Details for omero_autotag-4.3.0-py3-none-any.whl

Total release size: 451.4 kB

Release files / omero_autotag-4.3.0.tar.gz

Download URL omero_autotag-4.3.0.tar.gz
Size 226.4 kB
Tags Source
SHA-256 checksum
How to use checksums
094a245d32a449840df5c2b0ef0c753cec46145eef96361069c0b4a2509f54b2
BLAKE2b-256 checksum
How to use checksums
3c76c02222b6eae7dda2b2fb74643c086b5799275f5a2f79ef413d58b7838e21
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.7

Release files / omero_autotag-4.3.0-py3-none-any.whl

Download URL omero_autotag-4.3.0-py3-none-any.whl
Size 225.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f29829d8f1b16c14dc69b62d9ff25cad51a195121de50a54066d804dd20b553c
BLAKE2b-256 checksum
How to use checksums
51b654beb952b5076dabf28ccce2c464c83f9923ac9a6b1219e56c30df3031c0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.7

Security for omero-autotag 4.3.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page