#WinML – #CustomVision, object recognition using Onnx in Windows10, calculate FPS

ONNX 1 Minute

Hi !

Quick post today. And it’s mostly as a brain reminder on the best way to perform a Frames Per Second calculation when we are analyzing images using a ONNX model. In the final UWP app, I added a top right label displaying the current date and time, and the processed FPS

01 custom vision uwp frame analysis using onnx fps

And the code behind all this is very simple, specially line 10

private Stopwatch _stopwatch;
private async Task LoadAndEvaluateModelAsync(VideoFrame videoFrame)
{
_stopwatch = Stopwatch.StartNew();
_predictions = await _objectDetection.PredictImageAsync(videoFrame);
_stopwatch.Stop();
await Dispatcher.RunAsync(CoreDispatcherPriority.Normal, () =>
{
var message = $"{DateTime.Now.ToLongTimeString()} – {1000f / _stopwatch.ElapsedMilliseconds,4:f1} fps";
TextBlockResults.Text = message; DrawFrames();
});
}

view raw

CVOnnxFps.cs

hosted with ❤ by GitHub

So, I’ll search for my sample next time I need to display this.

The full app can be seen in https://github.com/elbruno/events/tree/master/2019%2001%2010%20CodeMash%20CustomVision/CSharp/CustomVisionMarvelConsole01

Happy Coding!

Greetings @ Burlington

El Bruno

References

My Posts

Windows 10 and YOLOV2 for Object Detection Series

Published

25 thoughts on “#WinML – #CustomVision, object recognition using Onnx in Windows10, calculate FPS”

  1. Pingback: #Windows10 – Can’t install #docker on Windows 10 Home, need Pro or Enterprise – El Bruno
  2. Pingback: #Windows10 – Problemas al instalar #docker en Windows 10 Home, necesitas Pro o Enterprise – El Bruno
  3. Pingback: #CustomVision – Running a Custom Vision project in a local #Docker Container – El Bruno
  4. Pingback: #CustomVision – Utilizando un proyecto Custom Vision en un #Docker Container local – El Bruno
  5. Pingback: #CustomVision – Analyzing images in a Console App using a #CustomVision project in a #Docker Container – El Bruno
  6. Pingback: #CustomVision – Analizando imágenes en una Console App utilizando un proyecto de #CustomVision en #Docker Container – El Bruno
  7. Pingback: #CustomVision – Analyzing images using PostMan from a #CustomVision project hosted in a #Docker Container – El Bruno
  8. Pingback: #CustomVision – Analizando imágenes con PostMan con un proyecto de #CustomVision en un #Docker Container – El Bruno
  9. Pingback: #CustomVision – Building the CustomVision project in #Docker in a #RaspberryPi – El Bruno
  10. Pingback: #CustomVision – Compilar el proyecto de CustomVision en #Docker en una #RaspberryPi – El Bruno
  11. Pingback: #Docker – Container dies immediately upon successful start in a #RaspberryPi. Of course, it’s all about #TensorFlow dependencies – El Bruno
  12. Pingback: #Docker – Container muere inmediatamente después de ser iniciado en #RaspberryPi. Obviamente, era un problema de dependencias de #TensorFlow – El Bruno
  13. Pingback: #Docker – About ports, IPs and more to access a container hosted in a #RaspberryPi – El Bruno
  14. Pingback: #Docker – Sobre puertos, IPs y mas para acceder a un container alojado en #RaspberryPi – El Bruno
  15. Pingback: #Docker – Average response times using a CustomVision.ai docker container in a #RaspberryPi and a PC – El Bruno
  16. Pingback: #Docker – Tiempos de respuesta promedio utilizando #CustomVision.ai en un contenedor con Docker en #RaspberryPi u en PC – El Bruno
  17. Pingback: #AI – My posts on CustomVision.ai, running on ONNX, Docker, on PC, RaspberryPi, MacOS and more ! – El Bruno
  18. Pingback: #CustomVision – It’s time to move your Custom Vision projects to #Azure! – El Bruno
  19. Pingback: #CustomVision – Es el momento de mover los proyectos de Custom Vision a #Azure! – El Bruno
  20. Pingback: #AI – Mis posts sobre CustomVision.ai, exportando y utilizando ONNX, Docker, en PC, RaspberryPi, MacOS y más ! – El Bruno
  21. Pingback: #AI – CustomVision.ai project now can export directly toVision AI Developer Kit – El Bruno
  22. Pingback: #AI – Los proyectos de CustomVision.ai se pueden exportar para ser utilizados con el Vision AI Developer Kit – El Bruno
  23. Pingback: #Event – Resources used during the #GlobalAINight @metrotorontoUG – El Bruno
  24. Pingback: #Event – Materiales utilizados durante #GlobalAINight con los amigos de @metrotorontoUG – El Bruno
  25. Pingback: #Event – Resources for the sessions about #DeepLearning and #CustomVision at the @ChicagoCodeCamp – El Bruno

Leave a Reply

Fill in your details below or click an icon to log in:

Gravatar
WordPress.com Logo

You are commenting using your WordPress.com account. ( Log Out /  Change )

Google photo

You are commenting using your Google account. ( Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. ( Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. ( Log Out /  Change )

Cancel

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.