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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 |
YOLOv8 .NET ONNX ImageSharp | C#/ONNX/ImageSharp | Compunet |
YOLO .Net ONNX Detection C# | C# .Net | Samuel Stainback |
YOLOv8 on NVIDIA Jetson(TensorRT and DeepStream) | Python | Lakshantha |
YOLOv8 ONNXRuntime Python | Python/ONNXRuntime | Semih Demirel |
YOLOv8 ONNXRuntime CPP | C++/ONNXRuntime | DennisJcy, Onuralp Sezer |
RTDETR ONNXRuntime C# | C#/ONNX | Kayzwer |
YOLOv8 SAHI Video Inference | Python | Muhammad Rizwan Munawar |
YOLOv8 Region Counter | Python | Muhammad Rizwan Munawar |
YOLOv8 Segmentation ONNXRuntime Python | Python/ONNXRuntime | jamjamjon |
We greatly appreciate contributions from the community, including examples, applications, and guides. If you'd like to contribute, please follow these guidelines:
[Example]
, adding your new example folder to the examples/
directory within the repository.ultralytics
package.README.md
with clear instructions for setting up and running the example.For more detailed information and guidance on contributing, please visit our contribution documentation.
If you encounter any questions or concerns regarding these guidelines, feel free to open a PR or an issue in the repository, and we will assist you in the contribution process.
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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!
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