bytetrackwithmae
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
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Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: ssssssea
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 17.4 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
License
Citation
README.md
bytetrackwithMAE
Owner
- Login: ssssssea
- Kind: user
- Repositories: 1
- Profile: https://github.com/ssssssea
Citation (CITATION.cff)
cff-version: 1.2.0
preferred-citation:
type: software
message: "If you use Yolo Tracking, please cite it as below."
authors:
- family-names: Broström
given-names: Mikel
title: "BoxMOT: pluggable SOTA tracking modules for object detection, segmentation and pose estimation models"
version: 10.0.57
doi: https://zenodo.org/record/7629840
date-released: 2024-3
license: AGPL-3.0
url: "https://github.com/mikel-brostrom/yolo_tracking"
GitHub Events
Total
Last Year
Dependencies
.github/workflows/ci.yml
actions
- actions/checkout v4 composite
- actions/setup-python v5 composite
.github/workflows/publish.yml
actions
- actions/checkout v4 composite
- actions/create-release v1 composite
- actions/setup-python v5 composite
.github/workflows/stale.yml
actions
- actions/stale v9 composite
Dockerfile
docker
- nvcr.io/nvidia/pytorch 24.03-py3 build
poetry.lock
pypi
- 105 dependencies
pyproject.toml
pypi