# ImageSegmentation
**Repository Path**: wangn/ImageSegmentation
## Basic Information
- **Project Name**: ImageSegmentation
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-08-21
- **Last Updated**: 2026-07-22
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## 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:
