Information
January 17, 2026 · View on GitHub
YoloDotNet uses modular execution providers to run inference on different hardware backends. Each provider targets a specific platform or accelerator and may require additional system-level dependencies such as runtimes, drivers, or SDKs.
Installing the NuGet package alone is not always sufficient — proper setup depends on the selected provider and the target system.
This document describes the installation, requirements, and usage of the CPU execution provider.
Core Library Requirement
All execution providers require the core YoloDotNet package, which contains the shared inference pipeline, models, and APIs.
NuGet Package
dotnet add package YoloDotNet
Execution Provider - CPU
The CPU execution provider runs inference on the system CPU using ONNX Runtime’s built-in CPU backend.
It is the most portable execution provider and requires no additional dependencies.
Requirements:
- Any x64-compatible CPU
- Windows, Linux, or macOS
Notes:
- The CPU execution provider is always available and works on all supported platforms.
- Performance is lower compared to hardware-accelerated providers, but it is ideal for development, testing, and environments without GPU or NPU support.
Installation
No additional installation or configuration is required.
Install the NuGet package and run your application — that’s it.
YoloDotNet.ExecutionProvider.Cpu v1.1 requires YoloDotNet version 4.1.
NuGet Package
dotnet add package YoloDotNet.ExecutionProvider.Cpu
Usage Example:
using YoloDotNet;
using YoloDotNet.ExecutionProvider.Cpu;
using var yolo = new Yolo(new YoloOptions
{
ExecutionProvider = new CpuExecutionProvider(model: "path/to/model.onnx"),
// ...other options
});