Question

我有一个使用机器学习来分类对象是什么的应用程序。我的问题是文本分类器不起作用。请忽略代码的结构

  let classifierText: UILabel = {
    let classifer = UILabel()
    classifer.translatesAutoresizingMaskIntoConstraints = false
    classifer.textColor = .black
    classifer.font = UIFont(name: "Times-New-Roman", size: 10)
    classifer.textAlignment = .center
    return classifer
}()  func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {
 guard let pixelBuffer: CVPixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) else { return }
    guard let model = try? VNCoreMLModel(for: Inceptionv3().model) else { return }
    let request = VNCoreMLRequest(model: model) { (finishedReq, err) in
    guard let results = finishedReq.results as?  [VNClassificationObservation] else { return }
    guard let firstObservation = results.first else { return }
    DispatchQueue.main.async {
    self.classifierText.text = "This appears to be a \(firstObservation.identifier)"
     }
  }
    try? VNImageRequestHandler(cvPixelBuffer: pixelBuffer, options: [:]).perform([request])
  }  override func viewDidLoad() {
    super.viewDidLoad()
    let theView: UIView = {
        let view = UIView()
        view.backgroundColor = .white
        view.translatesAutoresizingMaskIntoConstraints = false
        view.frame = view.bounds
        view.layer.cornerRadius = 10
        view.layer.borderWidth = 1
        view.addSubview(classifierText)
        return view
    }()

我修好了。这是解决方案。

让dataOuput = AVCaptureVideoDataOutput（） dataOuput.setSampleBufferDelegate（self，queue：DispatchQueue（label：“videoQueue”）） imageSession.addOutput（dataOuput）

Answer 1

我修好了。这是解决方案。

让dataOuput = AVCaptureVideoDataOutput（）dataOuput.setSampleBufferDelegate（self，queue：DispatchQueue（label：＆＃34; videoQueue＆＃34;）） imageSession.addOutput（dataOuput）

Swift机器学习观察不起作用

1 个答案: