Windows.ai.machinelearning File

// Create session var session = new LearningModelSession(model, new LearningModelDevice(LearningModelDeviceKind.Default));

The Windows.AI.MachineLearning namespace is heavily reliant on the format. ONNX is an open-source format for AI models, supported by a consortium of tech giants including Microsoft and Facebook. windows.ai.machinelearning

// 5. Map to label return Labels[ArgMax(classId)]; public async Task&lt

public async Task<float[]> RunInference(VideoFrame inputFrame) you build applications that are faster

public void SetupSession()

The windows.ai.machinelearning namespace empowers Windows developers to reclaim control. It is a direct line to the raw compute power sitting idle in the user’s PC case. By adopting WinML, you build applications that are faster, private by default, and functional anywhere—even in a bunker with no Wi-Fi.

Download from ONNX Model Zoo (e.g., ResNet, SqueezeNet) Option B: Convert your PyTorch/TensorFlow model: