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This is a solution integrating annotation, training, and instance segmentation. It adds a UI based on IntptrMax\YoloSharp, and the UI framework uses MaterialdesignToolkit.

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这是一个标注、训练、实例分割于一体的方案;

训练和预测部分是按https://github.com/IntptrMax/YoloSharp 的代码添加了UI;

UI框架是https://github.com/MaterialDesignInXAML/MaterialDesignInXamlToolkit;

Download the file from https://download.pytorch.org/libtorch/cu130/libtorch-win-shared-with-deps-2.9.0%2Bcu130.zip After unzipping the above file, copy the DLL files under the folder ...libtorch-win-shared-with-deps-2.9.0+cu130\libtorch\lib to the folder ...\bin...runtimes\win-x64\native;

Download the file from https://huggingface.co/datasets/Gourieff/ReActor/resolve/main/models/sams/sam_vit_b_01ec64.pth; Copy it to the SamModels folder;

Reference all files in the DLL directory;

Annotation, training, prediction:

屏幕截图 2025-11-12 120104 屏幕截图 2025-11-28 234227 屏幕截图 2025-11-12 120319

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This is a solution integrating annotation, training, and instance segmentation. It adds a UI based on IntptrMax\YoloSharp, and the UI framework uses MaterialdesignToolkit.

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