Recently most of my YoloV8 projects inference on edge devices or in Azure and do not use Graphics Processing Unit(GPU) hardware. Most of my projects use the dme-compunet YoloV8 NuGet and for compatibility (Removal of extended CUDA & TensorRT configuration functionality) reasons this post uses version 4.2 of the source.

The initial version of the YoloV8.dll in the version 4.2 of the NuGet was 96.5KB. Most of my applications deployed to edge devices and Azure do not require plotting functionality so I started by commenting out (not terribly subtle).

The intermediate version of the YoloV8.dll in the version 4.2 of the NuGet on a “diet” with the plotting functionality “commented out” also meant the SixLabors.ImageSharp.Drawing NuGet could be removed.

The final release version of the YoloV8.dll in the version 4.2 of the NuGet was 64.0 KB. The main purpose of this process was to remove any unnecessary functionality to see how hard it would be to replace the SixLabors.ImageSharp and SixLabors.ImageSharp.Drawing with libraries that have better performance.