mozuma

Model Zoo for Multimedia Applications

https://github.com/mozuma/mozuma

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    2 of 7 committers (28.6%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.1%) to scientific vocabulary

Keywords

machine-learning multimedia python3 pytorch vision-and-language
Last synced: 6 months ago · JSON representation

Repository

Model Zoo for Multimedia Applications

Basic Info
Statistics
  • Stars: 8
  • Watchers: 2
  • Forks: 1
  • Open Issues: 18
  • Releases: 62
Topics
machine-learning multimedia python3 pytorch vision-and-language
Created about 5 years ago · Last pushed over 2 years ago
Metadata Files
Readme Contributing License Citation

README.md

MoZuMa

MoZuMa is a model zoo for multimedia search application. It provides an easy to use interface to run models for:

  • Text to image retrieval: Rank images by their similarity to a text query.
  • Image similarity search: Rank images by their similarity to query image.
  • Image classification: Add labels to images.
  • Face detection: Detect and retrieve images with similar faces.
  • Object detection: Detect and retrieve images with similar objects.
  • Video keyframes extraction: Retrieve the important frames of a video. Key-frames are used to apply all the other queries on videos.
  • Multilingual text search: Rank similar sentences from a text query in multiple languages.

Quick links

Example gallery

See docs/examples/ for a collection of ready to use notebooks.

Citation

Please cite as:

bibtex @inproceedings{mozuma, author = {Massonnet, St\'{e}phane and Romanelli, Marco and Lebret, R\'{e}mi and Poulsen, Niels and Aberer, Karl}, title = {MoZuMa: A Model Zoo for Multimedia Applications}, year = {2022}, isbn = {9781450392037}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3503161.3548542}, doi = {10.1145/3503161.3548542}, abstract = {Lots of machine learning models with applications in Multimedia Search are released as Open Source Software. However, integrating these models into an application is not always an easy task due to the lack of a consistent interface to run, train or distribute models. With MoZuMa, we aim at reducing this effort by providing a model zoo for image similarity, text-to-image retrieval, face recognition, object similarity search, video key-frames detection and multilingual text search implemented in a generic interface with a modular architecture. The code is released as Open Source Software at https://github.com/mozuma/mozuma.}, booktitle = {Proceedings of the 30th ACM International Conference on Multimedia}, pages = {7335–7338}, numpages = {4}, keywords = {multimedia search, vision and language, open source software}, location = {Lisboa, Portugal}, series = {MM '22} }

Owner

  • Name: MoZuMa
  • Login: mozuma
  • Kind: organization
  • Location: Switzerland

Model Zoo for Multimedia Applications

GitHub Events

Total
Last Year

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 129
  • Total Committers: 7
  • Avg Commits per committer: 18.429
  • Development Distribution Score (DDS): 0.256
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
smassonnet s****t@g****m 96
Rémi Lebret r****i@l****h 13
Stéphane Massonnet s****t@e****h 8
Marco Romanelli 4****9 8
n-poulsen 4****n 2
Remi Lebret l****t@l****h 1
Stéphane Massonnet 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 52
  • Total pull requests: 49
  • Average time to close issues: 25 days
  • Average time to close pull requests: 5 days
  • Total issue authors: 3
  • Total pull request authors: 4
  • Average comments per issue: 0.17
  • Average comments per pull request: 0.2
  • Merged pull requests: 44
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • smassonnet (35)
  • mromanelli9 (9)
  • rlebret (8)
Pull Request Authors
  • smassonnet (30)
  • rlebret (9)
  • mromanelli9 (8)
  • IlliaOl (2)
Top Labels
Issue Labels
documentation (9) enhancement (7) bug (3) training (2) wontfix (1)
Pull Request Labels
enhancement (6) documentation (3) bug (3) training (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 71 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
pypi.org: mozuma

Model Zoo for Multimedia Applications

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 71 Last month
Rankings
Dependent packages count: 6.6%
Stargazers count: 19.5%
Average: 21.1%
Forks count: 23.2%
Downloads: 25.8%
Dependent repos count: 30.6%
Maintainers (1)
Last synced: 6 months ago

Dependencies

docs/requirements.txt pypi
  • black *
  • jupytext *
  • mkdocs-bibtex *
  • mkdocs-markdownextradata-plugin *
  • mkdocs-material *
  • mkdocstrings-python-legacy *
tests/requirements.txt pypi
  • black *
  • darker *
  • flake8 *
  • mypy *
  • pytest *
  • pytest-dotenv *
  • requests-mock *
  • types-PyYAML *
  • types-requests *
.github/workflows/lint.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/publish.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
  • pypa/gh-action-pypi-publish v1.5.0 composite
pyproject.toml pypi
setup.py pypi