IOS पर ML बनाएं

import CreateMLUI

let builder = MLImageClassifierBuilder()
builder.showInLineView()

इमेजिस

ध्वनि

गतिविधि

टेक्स्ट

टेबल्स

छवि वर्गीकरण

private func makeImageClassifierModel() -> VNCoreMLModel? {
  return try? VNCoreMLModel(for: MyImageClassifier().model)
}

private func makeClassifierRequest(for model: VNCoreMLModel, ciImage: CIImage) {
    let request = VNCoreMLRequest(model: model) { [weak self] request, error in
      self?.handleClassifierResults(request.results)
    }
    
    let handler = VNImageRequestHandler(ciImage: ciImage)
    DispatchQueue.global(qos: .userInteractive).async {
      do {
        try handler.perform([request])
      } catch {
        self.onDidUpdateState?(.requestFailed)
      }
    }
  }

  private func handleClassifierResults(_ results: [Any]?) {
    guard let results = results as? [VNClassificationObservation],
      let firstResult = results.first else {
      onDidUpdateState?(.requestFailed)
      return
    }
    
    DispatchQueue.main.async { [weak self] in
      let confidence = (firstResult.confidence * 100).rounded()
      let resultModel = ClassifierResultModel(identifier: firstResult.identifier, confidence: Int(confidence))
      self?.onDidUpdateState?(.receiveResult(resultModel: resultModel))
    }
  }

निष्कर्ष