/RoadMarkingDetection

Road markings detection using yolov5 model based on ONNX

Primary LanguageC#

Road Marking Detection

Road markings detection using custom yolov5 model based on ONNX, .NET 8.0

Usage

Running ML Dotnet Road marking detection using Yolov5 in Colab Open In Colab

In this tutorial, we will learn how to detect road markings using Yolov5 and ML Dotnet which is a machine learning framework for .NET.

Running with Package Manager Console

NuGet\Install-Package Aliardan.RoadMarkingDetection -Version 2.0.6

Dependencies

  1. .NET 8.0
  2. Aliardan.Scorer (>= 2.0.6)
  3. Microsoft.ML (>= 2.0.1)
  4. Microsoft.ML.OnnxRuntime (>= 1.16.3)
  5. SixLabors.Fonts (>= 2.0.2)
  6. SixLabors.ImageSharp (>= 3.0.2)
  7. SixLabors.ImageSharp.Drawing (>= 2.0.1)

Additional information

YOLOv5

Train Custom Data

Tips for Best Training Results

ONNX and TorchScript Export

Test-Time Augmentation (TTA)

Report templates

Bug report template

Feature request template