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22 lines
1.5 KiB
22 lines
1.5 KiB
This is a list of real-world applications and walkthroughs. These can be folders of either python files or notebooks . |
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## Ultralytics YOLO example applications |
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| Title | Format | Contributor | |
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| ------------------------------------------------------------------------ | ------------------ | --------------------------------------------------- | |
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| [YOLO ONNX detection Inference with C++](./YOLOv8-CPP-Inference) | C++/ONNX | [Justas Bartnykas](https://github.com/JustasBart) | |
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| [YOLO OpenCV ONNX detection Python](./YOLOv8-OpenCV-ONNX-Python) | OpenCV/Python/ONNX | [Farid Inawan](https://github.com/frdteknikelektro) | |
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| [YOLO .Net ONNX detection C#](https://www.nuget.org/packages/Yolov8.Net) | C# .Net | [Samuel Stainback](https://github.com/sstainba) | |
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## How can you contribute ? |
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We're looking for examples, applications and guides from the community. Here's how you can contribute: |
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- Make a PR with `[Example]` prefix in title after adding your project folder in the examples/ folder of the repository |
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- The project should satisfy these conditions: |
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- It should use ultralytics framework |
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- It have a README.md with instructions to run the project |
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- It should avoid adding large assets or dependencies unless absolutely needed |
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- The contributor is expected to help out in issues related to their examples |
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If you're unsure about any of these requirements, make a PR and we'll happy to guide you
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