object_detection
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 (2.5%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: treeleafrnd
- Language: Python
- Default Branch: main
- Size: 20.5 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
Citation
README.md
Yolov5s(You Only Look Once)
In this project yolov5s has been used for the object detection. Please install the requirements.txt before proceeding as it contains all the required dependencies.
Use following command to install the required dependencies: - pip install -r requirements.txt
Owner
- Name: treeleafrnd
- Login: treeleafrnd
- Kind: organization
- Repositories: 1
- Profile: https://github.com/treeleafrnd
Citation (CITATION.cff)
cff-version: 1.2.0
preferred-citation:
type: software
message: If you use YOLOv5, please cite it as below.
authors:
- family-names: Jocher
given-names: Glenn
orcid: "https://orcid.org/0000-0001-5950-6979"
title: "YOLOv5 by Ultralytics"
version: 7.0
doi: 10.5281/zenodo.3908559
date-released: 2020-5-29
license: AGPL-3.0
url: "https://github.com/ultralytics/yolov5"
GitHub Events
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Dependencies
requirements.txt
pypi
- Pillow >=9.4.0
- PyYAML >=5.3.1
- gitpython >=3.1.30
- matplotlib >=3.3
- numpy >=1.23.5
- opencv-python >=4.1.1
- pandas >=1.1.4
- psutil *
- requests >=2.23.0
- scipy >=1.4.1
- seaborn >=0.11.0
- setuptools >=65.5.1
- thop >=0.1.1
- torchvision >=0.9.0
- tqdm >=4.64.0
- ultralytics >=8.0.232
- wheel >=0.38.0