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Dependencies The code file references the following external libraries and modules:

TorchSharp: A .NET wrapper library for deep learning with PyTorch.

OpenCvSharp: An open-source computer vision library that provides image processing and computer vision algorithms.

YamlDotNet: A .NET library for parsing and serializing YAML files.

Newtonsoft.Json: A .NET library for serialization and deserialization of JSON data.

YoloV8.Gpu: A deep learning model library for object detection based on the YoloV8 architecture with GPU acceleration.

We would like to express our gratitude to the developers and contributors of the above-mentioned external libraries and modules. Their code provides important functionality and support to this project.

引用仓库 该代码文件引用了以下外部库和模块: TorchSharp: 一个用于深度学习的PyTorch封装库。image

OpenCvSharp: 一个开源的计算机视觉库,提供了图像处理和计算机视觉算法的功能。

YamlDotNet: 一个用于解析和序列化YAML文件的.NET库。

Newtonsoft.Json: 一个用于JSON数据的序列化和反序列化的.NET库。

YoloV8.Gpu: 一个用于目标检测的深度学习模型库,基于YoloV8架构,并支持GPU加速。

感谢上述外部库和模块的开发者和贡献者,他们的代码为该项目提供了重要的功能和支持。

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TorchSharp,OpenCVSharp,Image Label,Image Train

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