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net10.0

A lightweight, zero-configuration image segmenter for .NET. Supports semantic and instance segmentation with SegFormer and MobileSAM models. Start small. Download what you need. Run locally.

Published
Oct 17, 2026
yesterday
Total Downloads
18.4K
18,418

Install

dotnet add package LMSupply.Segmenter --version 0.125.0
ProductVersions
.NET
net10.0

README

LMSupply.Segmenter

Local image segmentation for .NET with automatic model downloading.

Features

  • Zero-config: Models download automatically from HuggingFace
  • GPU Acceleration: CUDA (NVIDIA), CoreML (macOS)
  • MIT Licensed: SegFormer models for commercial use
  • 150 ADE20K Classes: Indoor/outdoor scene understanding

Quick Start

using LMSupply.Segmenter;

// Load the default model
await using var segmenter = await LocalSegmenter.LoadAsync("default");

// Segment image
var result = await segmenter.SegmentAsync("photo.jpg");

Console.WriteLine($"Image: {result.Width}x{result.Height}");
Console.WriteLine($"Classes found: {result.UniqueClassCount}");

// Get class at pixel
int classId = result.GetClassAt(100, 100);
Console.WriteLine($"Class at (100,100): {segmenter.ClassLabels[classId]}");

Available Models

Alias Model Size mIoU Description
default SegFormer-B0 ~15MB 38.0 Lightweight, fast
fast SegFormer-B1 ~55MB 42.2 Balanced
quality SegFormer-B2 ~110MB 46.5 Higher accuracy
large SegFormer-B5 ~340MB 51.0 Highest accuracy
interactive MobileSAM ~45MB - Point/box prompts — LocalSegmenter.LoadInteractiveAsync()

GPU Acceleration

Do not add ONNX Runtime packages (Microsoft.ML.OnnxRuntime*): LMSupply provisions the runtime itself, and a second copy conflicts with it. ExecutionProvider.Auto uses CUDA when the driver supports CUDA 13 and the CUDA 13 runtime and cuDNN 9 are installed on the machine (ONNX Runtime 1.30 is built for CUDA 13), CoreML on macOS, and the CPU otherwise. On Windows with an AMD or Intel GPU, ONNX sessions run on the CPU (DirectML was removed in 0.67.0). See GPU acceleration.

Changes from Previous Version

No structural changes between v0.124.0 and v0.125.0.

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Compatibility metadata lists 1 target framework; confirm the exact target used by your application.

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