RealtimeImageClassification.md

Realtime Image Classification

This is an Intelligent Edge scenario built on top of Windows ML and ONNX to bring to life a completely offline image classification experience that runs directly from the camera feed. This demo uses a model built and exported by Microsoft Custom Vision.

Key Source Code

• RealtimeImageClassification: Main page that drives the demo. It hosts the CameraControl (see below) to display the live camera feed, creates a background loop to capture and process frames from the camera. It then uses the result to classify the image.

• CameraControl: The code that contains the camera feed and enables camera captures.