The pre-trained Tiny YOLOv2 model is stored in ONNX format, a serialized representation of the layers and learned patterns of those layers. In ML.NET, interoperability with ONNX is achieved with the ImageAnalytics and OnnxTransformer NuGet packages. The ImageAnalytics package contains a series of transforms that take an image and encode it into numerical values that can be used as input into a prediction or training pipeline. The OnnxTransformer package leverages the ONNX Runtime to load an ONNX model and use it to make predictions based on input provided.
{WebVideo Collection Series 4 Pack}
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