dynamically-gated-similarities
Code for Thesis: "Multi-Person Pose Tracking using Dynamically Gated Similarities"
Science Score: 67.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 7 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Scientific vocabulary similarity
Low similarity (8.7%) to scientific vocabulary
Keywords
Repository
Code for Thesis: "Multi-Person Pose Tracking using Dynamically Gated Similarities"
Basic Info
- Host: GitHub
- Owner: bmmtstb
- License: mit
- Language: Python
- Default Branch: master
- Homepage: https://bmmtstb.github.io/dynamically-gated-similarities/
- Size: 62.3 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 10
Topics
Metadata Files
README.md
Dynamically Gated Similarities
This is the code for the Thesis "Multi-Person Pose Tracking using Dynamically Gated Similarities", available here (or see: ./thesis.pdf).
Documentation
You can find the extended Documentation over at https://bmmtstb.github.io/dynamically-gated-similarities/.
Pipeline
You can find a visual Pipeline on
LucidChart
or downloadable as PDF (or see: ./docs/figures/Pipeline-DGS-Overview.pdf).
The visual pipeline of the training module is also available as PDF (or see: ./docs/figures/Pipeline-DGS-Training.pdf).
Examples
| |
|:--:|
| pt21val012968mpiitest__prediction |
| |
|:--:|
| dancetestdancetrack0017__prediction |
Citing
To cite this thesis, you can use the following BibTeX entry:
bibtex
@mastersthesis{tuprints29468,
title = {Multi-Person Pose Tracking Using Dynamically Gated Similarities},
author = {Martin Steinborn},
school = {Technische Universit{\"a}t Darmstadt},
language = {en},
address = {Darmstadt},
year = {2025},
pages = {VII, 56 Seiten},
month = {M{\"a}rz},
url = {http://tuprints.ulb.tu-darmstadt.de/29468/},
doi = {https://doi.org/10.26083/tuprints-00029468},
keywords = {tracking, pose-tracking, mppt}
}
To cite the code, you can use the following BibTeX entry:
bibtex
@software{brizar_2025_14910547,
author = {Brizar},
title = {bmmtstb/dynamically-gated-similarities},
month = feb,
year = 2025,
publisher = {Zenodo},
version = {v0.3.0},
doi = {10.5281/zenodo.14910547},
url = {https://doi.org/10.5281/zenodo.14910547},
}
This code is based on works of other people as well. Please refer to the respective repositories for citing.
Owner
- Name: Brizar
- Login: bmmtstb
- Kind: user
- Website: martin.fam-steinborn.de
- Repositories: 8
- Profile: https://github.com/bmmtstb
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: dynamically-gated-similarities
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Martin
family-names: Steinborn
email: bmmartint.stb+cffinit@gmail.com
orcid: 'https://orcid.org/0009-0000-5694-6231'
identifiers:
- type: doi
value: 10.26083/tuprints-00029468
description: Master Thesis
repository-code: 'https://github.com/bmmtstb/dynamically-gated-similarities'
url: 'https://bmmtstb.github.io/dynamically-gated-similarities/'
abstract: >-
This is the code for the Thesis “Multi-Person Pose
Tracking using Dynamically Gated Similarities”.
We proposed a new model that uses dynamically learned
weights to combine the pose, appearance, and or other
information. The so-called Dynamically-Gated Similarities
(DGS) model is highly modular and customizable. Weights
can be used and trained mostly dataset independent.
Additionally, the weights are computed individually for
every detection, allowing the model to adapt more freely
to the current situation.
keywords:
- human pose tracking
- tracking
license: MIT
commit: d04eb1b
version: ' v0.3.0'
GitHub Events
Total
- Release event: 2
- Delete event: 1
- Push event: 37
- Pull request event: 2
- Create event: 1
Last Year
- Release event: 2
- Delete event: 1
- Push event: 37
- Pull request event: 2
- Create event: 1
Issues and Pull Requests
Last synced: almost 2 years ago
All Time
- Total issues: 2
- Total pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: about 13 hours
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 2.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 2
Past Year
- Issues: 2
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: about 13 hours
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 2.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 2
Top Authors
Issue Authors
- bmmtstb (1)
Pull Request Authors
- dependabot[bot] (4)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- Pillow *
- av *
- black *
- coverage *
- cython ==3.0.
- easydict *
- future *
- gdown *
- h5py *
- imageio *
- imagesize *
- jinja2 *
- matplotlib *
- munkres *
- natsort *
- ninja *
- numpy *
- opencv-python *
- pycocotools ==2.0.
- pylint *
- pyyaml ==6.0.
- scipy *
- sphinx *
- tb-nightly *
- torcheval *
- tqdm *
- visdom *
- orgoro/coverage v3.1 composite
- actions/checkout v4 composite
- actions/setup-python v4 composite
- sphinx-notes/pages v3 composite
- easydict *
- numpy *
- pyyaml *
- scipy *
- sphinx *
- terminaltables *
- torch *
- black * test
- easydict * test
- munkres * test
- natsort * test
- numpy * test
- opencv-python * test
- pylint * test
- pyyaml * test
- scipy * test
- terminaltables * test
- torch * test
- tqdm * test
- visdom * test