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Ultralytics Docs are the gateway to understanding and utilizing our cutting-edge machine learning tools. These documents are deployed to https://docs.ultralytics.com for your convenience.
To install the ultralytics package in developer mode, ensure you have Git and Python 3 installed on your system. Then, follow these steps:
Clone the ultralytics repository to your local machine using Git:
git clone https://github.com/ultralytics/ultralytics.git
Navigate to the cloned repository's root directory:
cd ultralytics
Install the package in developer mode using pip (or pip3 for Python 3):
pip install -e '.[dev]'
The mkdocs serve
command builds and serves a local version of your MkDocs documentation, ideal for development and testing:
mkdocs serve
mkdocs
is the main MkDocs command-line interface.serve
is the subcommand to build and locally serve your documentation.🧐 Note:
mkdocs serve
supports live reloading.CTRL+C
.Supporting multi-language documentation? Follow these steps:
Stage all new language *.md files with Git:
git add docs/**/*.md -f
Build all languages to the /site
folder, ensuring relevant root-level files are present:
# Clear existing /site directory
rm -rf site
# Loop through each language config file and build
mkdocs build -f docs/mkdocs.yml
for file in docs/mkdocs_*.yml; do
echo "Building MkDocs site with $file"
mkdocs build -f "$file"
done
To preview your site, initiate a simple HTTP server:
cd site
python -m http.server
# Open in your preferred browser
http://localhost:8000
.Choose a hosting provider and deployment method for your MkDocs documentation:
mkdocs.yml
with deployment settings.mkdocs deploy
to build and deploy your site.mkdocs gh-deploy
We cherish the community's input as it drives Ultralytics open-source initiatives. Dive into the Contributing Guide and share your thoughts via our Survey. A heartfelt thank you 🙏 to each contributor!
Ultralytics Docs presents two licensing options:
For Ultralytics bug reports and feature requests please visit GitHub Issues. Become a member of the Ultralytics Discord, Reddit, or Forums for asking questions, sharing projects, learning discussions, or for help with all things Ultralytics!
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Browsing data directories saved to S3 is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with AWS S3!
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Browsing data directories saved to Google Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with Google Cloud Storage!
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Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with Azure Cloud Storage!
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Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with your S3 compatible storage!
Are you sure you want to delete this access key?