@property (assign,nonatomic) long long experimentalMLE5EngineUsage; //@synthesize experimentalMLE5EngineUsage=_experimentalMLE5EngineUsage - In the implementation block What is it, and why would disabling it fix NMS for a MLProgram? Is there anyway to signal this flag from model metadata? Is there anyway to signal or disable from a global, system-level scope? It's extremely easy to reproduce, but do not know how to investigate the drastic regression between toggling this flag let config = MLModelConfiguration() config.setValue(1, forKey: "experimentalMLE5EngineUsage")

Following this guide https://developer.apple.com/documentation/CreateML/creating-a-multi-label-image-classifier Has anyone been able to export a CoreML model, specifically according to the documentation below? Since there isn't any runnable examples, just snippets, perhaps documentation error? If anyone is already familiar with these pipeline generics, is there something that jumps out about the example transformer used that fails conformance or just factually incorrect? Export the model to use with Vision After you train the model, you can export it as a Core ML model. // Export to Core ML let modelURL = URL(filePath: "/path/to/model") try model.export(to: modelURL)

There are several tools available that can help you set up an HTTP Live Streaming service.  Help as in who, and how exactly? I'm not being sarcastic but seriously asking how someone might use this to setup a streaming service. Do they include this just so you can send demo media through it to prove that there is in fact a way get mediastreamvalidator to pass and we should spend more time passing option flags to ffmpeg?