Classifying SwiftUI Paths using Core ML

I am working on an app that classifies drawings made by user. Currently, the user made drawings are represented as a set of SwiftUI Paths, and I have a trained Core ML model that takes images and outputs class names.

I have written some code that is able to take in images in the form of UIImages and feed it into my classifier, but I am unsure of how I should adapt my code to take Paths.

Here is my current code:

Code Block 
import UIKit
import CoreML
import Vision
import ImageIO
import SwiftUI
struct ImageClassifier{
    var classifier = SymbolClassifier()
    func classify(image: CGImage) -> String?{
        let pixelBuffer = image.pixelBuffer(width: 300, height: 300, orientation: CGImagePropertyOrientation.up)!
        let output = try? self.classifier.prediction(image: pixelBuffer)
        return output?.classLabel
    }
    func classifyUIImage(image: UIImage)-> String?{
        guard let imageAsUIImage:CGImage = convertUIImageToCGImage(image: image) else{
            return nil
        }
        return classify(image: imageAsUIImage)
    }
    func classifyPath(path:Path) -> String?{
        //???
        return nil
    }
    func convertUIImageToCGImage(image: UIImage) -> CGImage? {
        let inputImage = CIImage(image: image)!
        let context = CIContext(options: nil)
        return context.createCGImage(inputImage, from: inputImage.extent)
    }
}

Here is the image.pixelBuffer library and here is the model