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  2. To install Ultralytics YOLOv8, you can follow these steps:1234
    1. Install YOLO via the ultralytics pip package for the latest stable release.
    2. Alternatively, clone the Ultralytics GitHub repository for the most up-to-date version.
    3. To use the full potential of YOLOv8, install the requirements from the repository.
    4. Reboot the device after installation.
    Learn more:
    Install YOLO via the ultralytics pip package for the latest stable release or by cloning the Ultralytics GitHub repository for the most up-to-date version. Docker can be used to execute the package in an isolated container, avoiding local installation.
    docs.ultralytics.com/quickstart/
    Install YOLOv8 via the ultralytics pip package for the latest stable release or by cloning the https://github.com/ultralytics/ultralytics repository for the most up-to-date version. pip install (recommended) pip install ultralytics git clone git clone https://github.com/ultralytics/ultralytics cd ultralytics pip install -e '.[dev]'
    triple-mu.github.io/yolov8/quickstart/
    Using the full potential of YOLOv8 requires installing the requirements from the repository as well as the ultralytics package. To install the requirements, we need first to clone the repository. git clone https://github.com/ultralytics/ultralytics.git Next, install the requirements. pip install -r requirements.txt
    learnopencv.com/ultralytics-yolov8/

    Install Ultralytics Package

    • Update packages list, install pip and upgrade to latest sudo apt update sudo apt install python3-pip -y pip install -U pip
    • Install ultralytics pip package with optional dependencies pip install ultralytics [export]
    docs.ultralytics.com/guides/nvidia-jetson/
     
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