在swift中使用Create ML对象检测模型

import CreateML
import Vision

// 加载训练好的模型
guard let model = try? MLModel(contentsOf: URL(fileURLWithPath: "path_to_your_model.mlmodel")) as? MLObjectDetector else {
    fatalError("Failed to load model.")
}

// 创建一个请求
let request = VNCoreMLRequest(model: model) { request, error in
    guard let results = request.results as? [VNRecognizedObjectObservation] else {
        return
    }
    
    for result in results {
        let label = result.labels.first?.identifier ?? "Unknown"
        let confidence = result.confidence
        let boundingBox = result.boundingBox
        
        print("Label: \(label), Confidence: \(confidence), Bounding Box: \(boundingBox)")
    }
}

// 处理图像
guard let image = UIImage(named: "path_to_your_image.jpg") else {
    fatalError("Failed to load image.")
}

let handler = VNImageRequestHandler(cgImage: image.cgImage!, options: [:])
try? handler.perform([request])