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RealtimeImageClassification.md

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Realtime Image Classification

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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.