Swift4 - Using Machine Learning Vision Library in Swift4, Cocoa Framework

The simplest solution for reading face image file, and converting to face landmark description.

	import Cocoa
	import Vision
	class ViewController: NSViewController {
	@IBOutlet weak var desc: NSTextField!
	@IBOutlet weak var path: NSTextField!
	let DEFAULT_PATH = "/Users/kohry/Documents/face/"
	override func viewDidLoad() {
	super.viewDidLoad()
	path.stringValue = DEFAULT_PATH
	// Do any additional setup after loading the view.
	}
	override var representedObject: Any? {
	didSet {
	// Update the view, if already loaded.
	}
	}
	@IBAction func readImageFiles(_ sender: Any) {
	//open file with file manager
	let fileManager = FileManager.default
	let contents = try! fileManager.contentsOfDirectory(atPath: path.stringValue)
	contents.forEach { (fileName) in
	let ciimage = CIImage(contentsOf: URL(fileURLWithPath: path.stringValue + fileName))
	let context = CIContext(options: nil)
	let cgimage = context.createCGImage(ciimage!, from: ciimage!.extent)
	analyze(cgimage!, fileName: fileName)
	}
	}
	func analyze(_ image: CGImage, fileName: String) {
	let faceRequest = VNDetectFaceLandmarksRequest{ (req, error) in
	if let results = req.results as? [VNFaceObservation] {
	for observation in results {
	print(fileName)
	print(observation.landmarks?.allPoints?.normalizedPoints)
	let allPointsInString = observation.landmarks?.allPoints?.normalizedPoints
	self.desc.stringValue = self.desc.stringValue + String(describing: allPointsInString) + "\n"
	}
	}
	}
	let imageRequestHandler = VNImageRequestHandler(cgImage: image, options: [:])
	try? imageRequestHandler.perform([faceRequest])
	}
	}

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