The following steps are required to install YOLOE:
- Creating a Python Environment: Recommended use of Conda to create a virtual environment for Python 3.10
- Cloning Codebase: Download YOLOE project source code from GitHub
- Installation of dependencies: Including CLIP, MobileCLIP and other visual models and related APIs
- Download pre-trained model: Obtain the official model files via Hugging Face
- Verify Installation: Run the test command to check the environment configuration
A specific installation example is shown below:
- Creating the environment:
conda create -n yoloe python=3.10 -y - Install the dependencies:
pip install -r requirements.txt - Download the model:
huggingface-cli download jameslahm/yoloe yoloe-v8l-seg.pt
Note that basic frameworks such as CUDA (if using a GPU) and PyTorch need to be installed in advance.
This answer comes from the articleYOLOE: an open source tool for real-time video detection and segmentation of objectsThe
May not be reproduced without permission:AI productivity tools " How to install and configure the YOLOE runtime environment?
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