predicttrajectory
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
Low similarity (0.2%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: TuanBao0711
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 42.5 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 2 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
License
Citation
README.md
testByteTrack.py: File Yolo kết hợp với ByteTrack
testLGByteTrack.py: File đang chạy thử Lightglue với ByteTrack trước đó
LightglueByteTrack.py: File đang chạy thử Lightglue với ByteTrack hiện tại đang xử lý
Owner
- Name: Thân Tuấn Bảo
- Login: TuanBao0711
- Kind: user
- Repositories: 1
- Profile: https://github.com/TuanBao0711
Learn more
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: 10.0.43
doi: https://zenodo.org/record/7629840
date-released: 2023-9
license: AGPL-3.0
url: "https://github.com/mikel-brostrom/yolo_tracking"
GitHub Events
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Dependencies
Dockerfile
docker
- nvcr.io/nvidia/pytorch 22.11-py3 build
requirements.txt
pypi
- GitPython >=3.1.0
- PyYAML >=5.3.1
- filterpy >=1.4.5
- ftfy >=6.1.1
- gdown >=4.7.1
- lapx >=0.5.4
- loguru >=0.7.0
- numpy ==1.24.4
- opencv-python >=4.6.0
- pandas >=1.1.4
- pre-commit >=3.3.3
- regex >=2023.6.3
- scikit-learn >=1.3.0
- tensorboard >=2.13.0
- torch >=1.7.0
- torchvision >=0.8.1
- yacs >=0.1.8
setup.py
pypi