func runModel()

in SemanticSegmentationSample/SemanticSegmentationSample/DataModel.swift [59:85]

• 22 lines of code
• 4 McCabe index (conditional complexity)

    func runModel() async {
        try! loadModel()

        let clock = ContinuousClock()
        var durations = [ContinuousClock.Duration]()

        while !Task.isCancelled {
            let image = lastImage.withLock({ $0 })
            if let pixelBuffer = image?.pixelBuffer {
                let duration = await clock.measure {
                    try? await performInference(pixelBuffer)
                }
                durations.append(duration)
            }

            let measureInterval = 100
            if durations.count == measureInterval {
                let total = durations.reduce(Duration(secondsComponent: 0, attosecondsComponent: 0), +)
                let average = total / measureInterval
                print("Average model runtime: \(average.formatted(.units(allowed: [.milliseconds])))")
                durations.removeAll(keepingCapacity: true)
            }

            // Slow down inference to prevent freezing the UI
            try? await Task.sleep(for: .milliseconds(10))
        }
    }