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2.9 KiB
Ultralytics YOLOv8 Example Applications
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.
Ultralytics YOLO Example 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 |
| RTDETR ONNXRuntime C# | C#/ONNX | Kayzwer |
How to Contribute
We welcome contributions from the community in the form of examples, applications, and guides. To contribute, please follow these steps:
- Create a pull request (PR) with the
[Example]prefix in the title, adding your project folder to theexamples/directory in the repository. - Ensure that your project meets the following criteria:
- Utilizes the
ultralyticspackage. - Includes a
README.mdfile with instructions on how to run the project. - Avoids adding large assets or dependencies unless absolutely necessary.
- The contributor is expected to provide support for issues related to their examples.
- Utilizes the
If you have any questions or concerns about these requirements, please submit a PR, and we will be more than happy to guide you.