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
And the code behind all this is very simple, specially line 10
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
- Custom Vision
- Quickstart: Create an image classification project with the Custom Vision .NET SDK
- Quickstart: Create an object detection project with the Custom Vision .NET SDK
- ONNX Documentation
- Sample application for ONNX1.2 models exported from Custom Vision Service
- Windows Community Toolkit
- Visual Studio Tools for AI
My Posts
- Object recognition with Custom Vision and ONNX in Windows applications using WinML (1)
- Object recognition with Custom Vision and ONNX in Windows applications using WinML (2)
- Object recognition with Custom Vision and ONNX in Windows applications using Windows ML, drawing frames (3)
Windows 10 and YOLOV2 for Object Detection Series
- Introduction to YoloV2 for object detection
- Create a basic Windows10 App and use YoloV2 in the camera for object detection
- Transform YoloV2 output analysis to C# classes and display them in frames
- Resize YoloV2 output to support multiple formats and process and display frames per second
- How to convert Tiny-YoloV3 model in CoreML format to ONNX and use it in a Windows 10 App
- Updated demo using Tiny YOLO V2 1.2, Windows 10 and YOLOV2 for Object Detection Series
- Alternatives to Yolo for object detection in ONNX format
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