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This repository features a collection of real-world applications and walkthroughs, provided as either Python files or notebooks. Explore the examples below to see how YOLOv8 can be integrated into various applications.
Title | Format | Contributor |
---|---|---|
YOLO ONNX Detection Inference with C++ | C++/ONNX | Justas Bartnykas |
YOLO OpenCV ONNX Detection Python | OpenCV/Python/ONNX | Farid Inawan |
YOLO .Net ONNX Detection C# | C# .Net | Samuel Stainback |
YOLOv8 on NVIDIA Jetson(TensorRT and DeepStream) | Python | Lakshantha |
We welcome contributions from the community in the form of examples, applications, and guides. To contribute, please follow these steps:
[Example]
prefix in the title, adding your project folder to the examples/
directory in the repository.ultralytics
package.README.md
file with instructions on how to run the project.If you have any questions or concerns about these requirements, please submit a PR, and we will be more than happy to guide you.
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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?