Windows.ai.machinelearning <PC>

var session = new LearningModelSession(model, device);

// Prepare input tensor (example: image 224x224 RGB) var inputData = new float[1 * 3 * 224 * 224]; // fill with your image data var inputTensor = TensorFloat.CreateFromArray(new long[] 1, 3, 224, 224 , inputData); binding.Bind("input", inputTensor); windows.ai.machinelearning

// Run inference var results = await session.EvaluateAsync(binding, "runId"); var session = new LearningModelSession(model

// 1. Preprocess: resize to model input size (224x224) var resized = await ImageHelper.ResizeBitmap(bitmap, 224, 224); // 2. Convert to float tensor (channel-first, normalized) var tensor = ImageHelper.BitmapToTensor(resized); normalized) var tensor = ImageHelper.BitmapToTensor(resized)