guard let model = try? VNCoreMLModel(for: model) else { return }
        let request = VNCoreMLRequest(model: model) { (finishedReq, err) in
                      guard let results = finishedReq.results as? [VNClassificationObservation] else {return}
            guard let firstObservation = results.first else {return}
                        let name: String = firstObservation.identifier
            let acc: Int = Int(firstObservation.confidence * 100)
            
            DispatchQueue.main.async {
                self.objectNameLabel.text = name
                self.accuracyLabel.text = "Accuracy: \(acc)%"
                
            }
        }
        
        try? VNImageRequestHandler(cvPixelBuffer: pixelBuffer, options: [:]).perform([request])