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 (7.4%) to scientific vocabulary
Scientific Fields
Repository
Basic Info
- Host: GitHub
- Owner: huangyanh
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Size: 10.6 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
CLI
YOLO may be used directly in the Command Line Interface (CLI) with a yolo command:
bash
yolo predict model=yolo11n-seg.pt source='https://ultralytics.com/images/bus.jpg'
yolo can be used for a variety of tasks and modes and accepts additional arguments, i.e. imgsz=640. See the YOLO CLI Docs for examples.
Python
YOLO may also be used directly in a Python environment, and accepts the same arguments as in the CLI example above:
```python
Train the model
train_results = model.train( data="seg.yaml", # path to dataset YAML epochs=100, # number of training epochs imgsz=640, # training image size device="cpu", # device to run on, i.e. device=0 or device=0,1,2,3 or device=cpu )
Evaluate model performance on the validation set
metrics = model.val()
Perform object detection on an image
results = model("path/to/image.jpg") results[0].show()
Export the model to ONNX format
path = model.export(format="onnx") # return path to exported model ```
See YOLO Python Docs for more examples.
Dataset
Please contact 617719299@qq.com:
Owner
- Name: HuangYanh
- Login: huangyanh
- Kind: user
- Repositories: 1
- Profile: https://github.com/huangyanh
Citation (CITATION.cff)
# This CITATION.cff file was generated with https://bit.ly/cffinit
cff-version: 1.2.0
title: Ultralytics YOLO
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Glenn
family-names: Jocher
affiliation: Ultralytics
orcid: 'https://orcid.org/0000-0001-5950-6979'
- family-names: Qiu
given-names: Jing
affiliation: Ultralytics
orcid: 'https://orcid.org/0000-0003-3783-7069'
- given-names: Ayush
family-names: Chaurasia
affiliation: Ultralytics
orcid: 'https://orcid.org/0000-0002-7603-6750'
repository-code: 'https://github.com/ultralytics/ultralytics'
url: 'https://ultralytics.com'
license: AGPL-3.0
version: 8.0.0
date-released: '2023-01-10'
GitHub Events
Total
- Watch event: 1
- Push event: 2
- Create event: 7
Last Year
- Watch event: 1
- Push event: 2
- Create event: 7
Dependencies
- matplotlib >=3.3.0
- numpy >=1.23.0
- 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
- torch >=1.8.0,!=2.4.0; sys_platform == 'win32'
- torchvision >=0.9.0
- tqdm >=4.64.0
- ultralytics-thop >=2.0.0