如何将数据添加到应用程序中的coreML文件

import CoreML

if let model = try? VNCoreMLModel(for: YourModel().model) {
    // 使用模型
}

let request = VNCoreMLRequest(model: model) { request, error in
    // 处理请求结果
}

let handler = VNImageRequestHandler(cgImage: yourImage.CGImage!, options: [:])

try? handler.perform([request])

request.results?.forEach { result in
    if let classification = result as? VNClassificationObservation {
        print("分类: \(classification.identifier), 置信度: \(classification.confidence)")
    }
}

import UIKit
import CoreML
import Vision

class ViewController: UIViewController {
    
    let model = try! VNCoreMLModel(for: YourModel().model)
    
    func classifyImage(_ image: UIImage) {
        let request = VNCoreMLRequest(model: model) { request, error in
            guard let results = request.results as? [VNClassificationObservation],
                  let topResult = results.first else {
                print("无法获取分类结果")
                return
            }
            DispatchQueue.main.async {
                print("分类: \(topResult.identifier), 置信度: \(topResult.confidence)")
            }
        }
        
        let handler = VNImageRequestHandler(cgImage: image.cgImage!, options: [:])
        DispatchQueue.global(qos: .userInitiated).async {
            do {
                try handler.perform([request])
            } catch {
                print("处理图像时发生错误: \(error)")
            }
        }
    }
    
    // 调用classifyImage函数并传入UIImage对象
}