Lumina: Swift Camera Library for CoreML Integrated Imaging

https://github.com/dokun1/Lumina.git

<key>NSCameraUsageDescription</key>
<string>商品をスキャンするためにカメラアクセスが必要です。</string>
<key>NSMicrophoneUsageDescription</key>
<string>動画を録画するためにマイクアクセスが必要です。</string>

import UIKit
import Lumina

class CameraDemoViewController: UIViewController, LuminaDelegate {
    private var cameraVC: LuminaViewController!

    override func viewDidLoad() {
        super.viewDidLoad()
        cameraVC = LuminaViewController()
        cameraVC.delegate = self
        cameraVC.setShutterButton(visible: true)
        cameraVC.setTorchButton(visible: true)
        // Optional: plug in a CoreML model
        if let model = try? MobileNet().model {
            cameraVC.streamingModels = [LuminaModel(model: model, type: "MobileNet")]
        }
        present(cameraVC, animated: true, completion: nil)
    }

    // MARK: – LuminaDelegate
    func captured(stillImage: UIImage, livePhotoAt: URL?, depthData: Any?, from controller: LuminaViewController) {
        print("Photo captured: \(stillImage.size)")
        controller.dismiss(animated: true, completion: nil)
    }

    func streamed(videoFrame: UIImage, with predictions: [LuminaRecognitionResult]?, from controller: LuminaViewController) {
        guard let predictions = predictions else { return }
        var overlayText = ""
        for pred in predictions {
            guard let best = pred.predictions?.first else { continue }
            overlayText += "\(pred.type): \(best.name) (\(String(format: "%.2f", best.probability * 100))%)\n"
        }
        controller.textPrompt = overlayText
    }

    func dismissed(controller: LuminaViewController) {
        controller.dismiss(animated: true, completion: nil)
    }
}