问题
I am currently trying to build an app that uses google's autoML feature. I have trained a model and published it on google firebase and have integrated the necessary code into my app following the documentation:
https://firebase.google.com/docs/ml-kit/ios/label-images-with-automl
I am using a remote model instead of making it local. However when I try running the code, then choose an image in the simulator, an empty list of predictions is output in the console.
I have also turned on the debugging feature, but this has not helped me fix my error. This is the code I am running in ViewController:
import UIKit
import CoreML
import Vision
import Firebase
import FirebaseMLCommon
var serverImage: UIImage? = nil
var topResult = ""
class ViewController: UIViewController {
@IBOutlet var skinDiseaseImageView: UIImageView!
@IBOutlet var result1Label: UILabel!
@IBOutlet var result1Confidence: UILabel!
@IBOutlet var result2Label: UILabel!
@IBOutlet var result2Confidence: UILabel!
@IBOutlet var result3Label: UILabel!
@IBOutlet var result3Confidence: UILabel!
override func viewDidLoad() {
let initialConditions = ModelDownloadConditions(allowsCellularAccess: true,
allowsBackgroundDownloading: true)
let updateConditions = ModelDownloadConditions(allowsCellularAccess: false,
allowsBackgroundDownloading: true)
let remoteModel = RemoteModel(
name: "skinDiseaseModel", // The name you assigned in the console.
allowsModelUpdates: true,
initialConditions: initialConditions,
updateConditions: updateConditions
)
ModelManager.modelManager().register(remoteModel)
super.viewDidLoad()
}
override func didReceiveMemoryWarning() {
super.didReceiveMemoryWarning()
}
}
extension ViewController {
@IBAction func selectImage(_ sender: Any) {
let pickerController = UIImagePickerController()
pickerController.delegate = self
pickerController.sourceType = .savedPhotosAlbum
present(pickerController, animated: true)
}
}
extension ViewController: UIImagePickerControllerDelegate {
func imagePickerController(_ picker: UIImagePickerController, didFinishPickingMediaWithInfo info: [String : Any]) {
dismiss(animated: true)
guard let skinImage = info[UIImagePickerControllerOriginalImage] as? UIImage else {
fatalError("Error Retrieving Image Line 95")
}
var skinImageToDiagnose = VisionImage(image: skinImage)
serverImage = skinImage
skinDiseaseImageView.image = skinImage
let labelerOptions = VisionOnDeviceAutoMLImageLabelerOptions(
remoteModelName: "skinDiseaseModel", // Or nil to not use a remote model
localModelName: nil // Or nil to not use a bundled model
)
labelerOptions.confidenceThreshold = 0 // Evaluate your model in the Firebase console
// to determine an appropriate value.
let labeler = Vision.vision().onDeviceAutoMLImageLabeler(options: labelerOptions)
var topThreeResults = [String]()
var topThreeConfidences = [String]()
labeler.process(skinImageToDiagnose) { labels, error in
guard error == nil, let labels = labels
else {
print(error)
return
}
//task succeeded
print("1")
print(labels)
var counter = 0
for label in labels {
topThreeResults.append(String(describing: label))
topThreeConfidences.append(String(describing: label.confidence))
counter = counter + 1
print("counter")
if counter == 3 {
break
}
}
}
result1Label.text = topThreeResults[0]
result1Confidence.text = (topThreeConfidences[0] + "%")
result2Label.text = topThreeResults[1]
result2Confidence.text = (topThreeConfidences[1] + "%")
result3Label.text = topThreeResults[2]
result3Confidence.text = (topThreeConfidences[2] + "%")
}
}
This is the error I recieved:
Fatal error: Index out of range
2019-08-31 19:50:19.763469-0700 medicalAppFinal[13776:2281569]
(lldb)
I reasoned that the index out of range problem is due to the list of labels(output predictions) being empty after having printed it. Thus I understand why it is index out of range, but I do not know why I am recieving an empty list after passing in the image into labeler.process() How do I solve this error? Tell me if you need more information
回答1:
It was a logic error. This part of the code:
result1Label.text = topThreeResults[0]
result1Confidence.text = (topThreeConfidences[0] + "%")
result2Label.text = topThreeResults[1]
result2Confidence.text = (topThreeConfidences[1] + "%")
result3Label.text = topThreeResults[2]
result3Confidence.text = (topThreeConfidences[2] + "%")
should have been inside the labeler.process() function. Otherwise it was running the above code without having even retrieved a list of predictions, thus causing the fatal error. By placing it inside, I ensure it has retrieved the list of predictions and only then runs the above code to find specific values in the list.
来源:https://stackoverflow.com/questions/57747464/not-retriveing-output-prediction-list-from-remote-firebase-automl-custom-model