在ARKit中，VisionCoreML是一种强大的技术，可以识别相机图像中的对象并使用Core ML分类器对其进行分类。在将ARKit与VisionCoreML一起使用时，你可以看到控制台上输出类似于“ARKit: Tracking VisionCoreML detected object”的消息。

为了将该消息更改为中文，你可以在代码中使用NSLog函数或print函数进行消息输出。下面是一个简单的示例代码：

Swift代码：

func renderer(_ renderer: SCNSceneRenderer, didAdd node: SCNNode, for anchor: ARAnchor) {

// Check if the anchor is an ARImageAnchor
guard let imageAnchor = anchor as? ARImageAnchor else { return }

// Use VisionCoreML to classify the detected image
let classificationRequest = VNCoreMLRequest(model: classifierModel) { request, error in
    guard let classification = request.results?.first as? VNClassificationObservation else { return }

    // Print the detected object's class and confidence
    print("检测到图像对象：\(classification.identifier)，置信度：\(classification.confidence)")

    // Customize the node for the detected image
    DispatchQueue.main.async {
        self.customizeNode(node, classification: classification)
    }
}

// Perform the classification request
let imageRequestHandler = VNImageRequestHandler(cvPixelBuffer: imageAnchor.pixelBuffer)
try? imageRequestHandler.perform([classificationRequest])

}

Objective-C代码：

• (void)renderer:(id)renderer didAddNode:(SCNNode *)node forAnchor:(ARAnchor *)anchor {

  // Check if the anchor is an ARImageAnchor if (![anchor isKindOfClass:[ARImageAnchor class]]) { return; } ARImageAnchor *imageAnchor = (ARImageAnchor *)anchor;

  // Use VisionCoreML to classify the detected image VNCoreMLRequest *classificationRequest = [[VNCoreMLRequest alloc] initWithModel:self.classifierModel completionHandler:^(VNRequest * _Nonnull request, NSError * _Nullable error) { VNClassificationObserv