Xcode中CoreML模型加载失败：无法读取模型包，缺少有效清单

我原本计划开发一款iOS端的简单图片选择器，加载图片后输出带百分比的分析结果，但目前CoreML模型无法加载，程序崩溃并报错：

Vision___CoreML/MainViewController.swift:34: Fatal error: Unable to load model: Failed to read model package at ... Error: A valid manifest does not exist at path: .../companyLogos.mlmodelc/Manifest.json

我尝试过在Copy Bundle Resources和Compile Resources中添加、移除并重新添加.mlmodelc文件，但均未解决问题。

以下是完整代码：

import UIKit
import Vision

class MainViewController: UIViewController, UIImagePickerControllerDelegate, UINavigationControllerDelegate {
    @IBOutlet var imgGuess: UIImageView!
    @IBOutlet var lblGuess: UILabel!
    
    override func viewDidLoad() {
        super.viewDidLoad()
    }
    
    override func didReceiveMemoryWarning() {
        super.didReceiveMemoryWarning()
    }
    
    func imagePickerController(_ picker: UIImagePickerController, didFinishPickingMediaWithInfo info: [UIImagePickerController.InfoKey: Any]) {
        if let pickedImage = info[.originalImage] as? UIImage {
            lblGuess.text = "Thinking"
            
            imgGuess.contentMode = .scaleAspectFit
            imgGuess.image = pickedImage
            
            // Load the model using the recommended method
            guard let modelURL = Bundle.main.url(forResource: "companyLogos", withExtension: "mlmodelc"),
                  let model = try? VNCoreMLModel(for: MLModel(contentsOf: modelURL, configuration: MLModelConfiguration())) else {
                fatalError("Unable to load model")
            }
            
            let request = VNCoreMLRequest(model: model) { [weak self] request, error in
                if let error = error {
                    print("❌ Error during Vision request: \(error)")
                    return
                }
                
                print("🔍 Raw Results:", request.results ?? "No results")
                
                guard let results = request.results as? [VNClassificationObservation] else {
                    fatalError("❌ Model did not return classification results! Check the model type.")
                }
                
                guard let topResult = results.first else {
                    print("❌ No classification results found.")
                    return
                }
                
                DispatchQueue.main.async { [weak self] in
                    self?.lblGuess.text = "\(topResult.identifier) with \(Int(topResult.confidence * 100))% confidence"
                }
            }
            
            guard let ciImage = CIImage(image: pickedImage) else {
                fatalError("Cannot read picked image")
            }
            
            let handler = VNImageRequestHandler(ciImage: ciImage)
            DispatchQueue.global().async {
                do {
                    try handler.perform([request])
                } catch {
                    print(error)
                }
            }
            
            picker.dismiss(animated: true, completion: nil)
            print("✅ Bild erfolgreich geladen")
        } else {
            print("❌ Kein Bild erhalten!")
        }
    }
    
    @IBAction func takePhoto(_ sender: Any) {
        if UIImagePickerController.isSourceTypeAvailable(.photoLibrary) {
            let imagePicker = UIImagePickerController()
            imagePicker.delegate = self
            imagePicker.sourceType = .photoLibrary
            imagePicker.allowsEditing = false
            self.present(imagePicker, animated: true, completion: nil)
        }
    }
    
    @IBAction func takePhotoFromCamera(_ sender: Any) {
        if UIImagePickerController.isSourceTypeAvailable(.camera) {
            let imagePicker = UIImagePickerController()
            imagePicker.delegate = self
            imagePicker.sourceType = .camera
            imagePicker.allowsEditing = false
            self.present(imagePicker, animated: true, completion: nil)
        }
    }
}

解决方案 #

• 禁止手动操作.mlmodelc文件：Xcode会自动编译.mlmodel源文件生成.mlmodelc包，手动添加/移除会破坏文件结构。直接将.mlmodel文件拖入项目，勾选对应目标工程。
• 检查模型编译配置：选中.mlmodel文件，右侧检查器确认Target Membership已勾选当前工程，Compile Source保持默认的CoreMLModelCompiler。
• 优化模型加载代码：使用Xcode自动生成的模型类加载，避免手动拼接路径：

  // 替换原加载代码
  guard let model = try? VNCoreMLModel(for: companyLogos(configuration: MLModelConfiguration()).model) else {
      fatalError("Unable to load model")
  }
  

  注意：companyLogos是根据你的.mlmodel文件名自动生成的类名，确保大小写一致。
• 清理重建项目：执行Cmd+Shift+K清理构建文件夹，删除设备上的App后重新编译运行。
• 验证模型完整性：右键.mlmodel文件选择Show in Finder，查看DerivedData中生成的.mlmodelc包是否包含Manifest.json，若缺失需重新获取正确的CoreML模型。

内容的提问来源于stack exchange，提问作者morry239