yolo-sgf
YOLO-SGF: Lightweight network for object detection in complex infrared images based on improved YOLOv8
Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: sciencedirect.com -
○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 (8.3%) to scientific vocabulary
Repository
YOLO-SGF: Lightweight network for object detection in complex infrared images based on improved YOLOv8
Basic Info
- Host: GitHub
- Owner: Tracygc
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 1.25 MB
Statistics
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
YOLO-SGF
YOLO-SGF: Lightweight network for object detection in complex infrared images based on improved YOLOv8
PAPER: https://www.sciencedirect.com/science/article/pii/S1350449524004237
ultralytics
Pip[**Python>=3.8**](https://www.python.org/)`ultralytics`[**PyTorch>=1.8**](https://pytorch.org/get-started/locally/)[](https://github.com/ultralytics/ultralytics/blob/main/pyproject.toml) [](https://pypi.org/project/ultralytics/) [](https://pepy.tech/project/ultralytics) [](https://pypi.org/project/ultralytics/) ```bash pip install ultralytics ``` [Conda](https://anaconda.org/conda-forge/ultralytics)[Docker](https://hub.docker.com/r/ultralytics/ultralytics)Git[](https://docs.ultralytics.com/quickstart) [](https://anaconda.org/conda-forge/ultralytics) [](https://hub.docker.com/r/ultralytics/ultralytics)
Usage
CLI
YOLOv8 CLI yolo
yolo imgsz=640 YOLOv8 CLI
Python
YOLO-SGF--Train
YOLO-SGF train_detect.pypython
YOLO-SGFcfg/models/yoloSGF.yaml
lossutils/loss.pyBboxLoss bbox_iou
cite
@article{GUO2024105539,
title = {YOLO-SGF: Lightweight network for object detection in complex infrared images based on improved YOLOv8},
journal = {Infrared Physics & Technology},
volume = {142},
pages = {105539},
year = {2024},
issn = {1350-4495},
doi = {https://doi.org/10.1016/j.infrared.2024.105539},
author = {Cong Guo and Kan Ren and Qian Chen},
}
Owner
- Login: Tracygc
- Kind: user
- Repositories: 1
- Profile: https://github.com/Tracygc
GitHub Events
Total
- Watch event: 7
- Push event: 8
- Create event: 1
Last Year
- Watch event: 7
- Push event: 8
- Create event: 1
Dependencies
- pytorch/pytorch 2.3.1-cuda12.1-cudnn8-runtime build
- transformers *
- ultralytics *
- matplotlib >=3.3.0
- numpy >=1.23.0,<2.0.0
- opencv-python >=4.6.0
- pandas >=1.1.4
- pillow >=7.1.2
- psutil *
- py-cpuinfo *
- pyyaml >=5.3.1
- requests >=2.23.0
- scipy >=1.4.1
- seaborn >=0.11.0
- torch >=1.8.0
- torchvision >=0.9.0
- tqdm >=4.64.0
- ultralytics-thop >=2.0.0