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ImageSegmentation

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

Install / Use

/learn @sam-hsueh/ImageSegmentation
About this skill

Quality Score

0/100

Category

Design

Supported Platforms

Universal

README

This is an integrated solution for annotation, training, and instance segmentation;

The training and prediction parts have added a UI based on the code from https://github.com/IntptrMax/YoloSharp;

The UI framework is base on https://github.com/MaterialDesignInXAML/MaterialDesignInXamlToolkit;

Download the file from https://download.pytorch.org/libtorch/cu130/libtorch-win-shared-with-deps-2.10.0%2Bcu130.zip After unzipping the above file, copy the DLL files under the folder ...libtorch-win-shared-with-deps-2.10.0+cu130\libtorch\lib to this folder ...\bin...runtimes\win-x64\native;

Copy LibTorch.dll file to this folder ...\bin...runtimes\win-x64\native from DLL folder;

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;

Download the file from https://huggingface.co/RogerQi/MobileSAMV2/resolve/main/mobile_sam.pt?download=true Copy it to the SamModels folder;

Reference all files in the DLL directory;

Annotation, training, prediction:

<img width="1920" height="1140" alt="屏幕截图 2025-11-12 120104" src="https://github.com/user-attachments/assets/0649f741-be64-475d-823e-75fc3a9d4728" /> <img width="1920" height="1140" alt="屏幕截图 2025-11-28 234227" src="https://github.com/user-attachments/assets/65c9a070-e149-4a3c-a19b-d60aa50cf300" /> <img width="1920" height="1140" alt="屏幕截图 2025-11-12 120319" src="https://github.com/user-attachments/assets/9dac0810-bfcd-4cb7-9c99-ee7f94df7eb9" />
View on GitHub
GitHub Stars35
CategoryDesign
Updated28d ago
Forks13

Languages

C#

Security Score

75/100

Audited on Mar 5, 2026

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