【问题标题】:How to check if there is no text in an Image--MLKit VisionCloudTextRecognizer如何检查图像中是否没有文本--MLKit VisionCloudTextRecognizer
【发布时间】:2019-06-24 11:47:11
【问题描述】:

我有一个名为 MLVision 的类来处理文本识别。

class MLVision {

    lazy var vision = Vision.vision()
    var textRecognizer: VisionTextRecognizer!
    var textArray = [] as Array<String>
    var lineText :String = ""

    func startRecognising(image : UIImage,completion: @escaping (_ result: [String]) -> ()){

        let visionImage = VisionImage(image: image)

        let options = VisionCloudTextRecognizerOptions()
        options.languageHints = ["en","hi"]
        textRecognizer = vision.cloudTextRecognizer(options: options)

        textRecognizer.process(visionImage, completion: { (features, error) in
            guard error == nil, let features = features else {
                print("No text Found!!")
                return
            }

            for block in features.blocks {
                for line in block.lines{


                    self.lineText = line.text
                    self.separate(lineText: self.lineText)

                }
            }
            completion(self.textArray)
        })
    }

    func separate(lineText : String){
        let separators = CharacterSet(charactersIn: (":)(,•/·]["))
        let ofWordsArray = lineText.components(separatedBy: separators)

        for word in ofWordsArray{

            let low = word.trimmingCharacters(in: .whitespacesAndNewlines).lowercased()
            if low != ""{
                textArray.append(low)
            }
        }
    }
}

这就是我称之为 Mlvision 类的 ViewController。

let mlVision = MLVision()

override func viewDidLoad() {
        super.viewDidLoad()
    mlVision.startRecognising(image: croppedImage!){ result in

                self.textArray = result
                self.searchIngredients(textArray: self.textArray)
        }
}

所以基本上我的应用程序会识别文本,然后将其分隔并以数组的形式传递。

如果我检查没有文字的图像以显示警报,我想处理。 我知道 guard error == nil, let features = features else {return} 处理它,但我想从我的 ViewController 中检查它。有没有办法做到这一点?

【问题讨论】:

    标签: ios swift firebase firebase-mlkit text-recognition


    【解决方案1】:

    如果我的问题是正确的 - 你只是想在你开始它的范围内处理识别错误,如果是这样,你可以使用 Result 将你的代码修改为下面的代码。

    // add your own Errors
    enum RecognitionError: Error {
        case textNotFound
    }
    
    //modify `completion` closure by passing `Result` object instead of array
    func startRecognising(image : UIImage,
                      completion: @escaping (_ result: Result<[String], RecognitionError>) -> ()){
    
        let visionImage = VisionImage(image: image)
    
        let options = VisionCloudTextRecognizerOptions()
        options.languageHints = ["en","hi"]
        textRecognizer = vision.cloudTextRecognizer(options: options)
    
        textRecognizer.process(visionImage, completion: { (features, error) in
            guard error == nil, let features = features else {
                print("No text Found!!")
                completion(.failure(.textNotFound))
                return
            }
    
            for block in features.blocks {
                for line in block.lines{
    
    
                    self.lineText = line.text
                    self.separate(lineText: self.lineText)
    
                }
            }
            completion(.success(self.textArray))
        })
    }
    

    并在您的 ViewController 中处理它:

    override func viewDidLoad() {
        super.viewDidLoad()
        mlVision.startRecognising(image: croppedImage!){ result in
            switch result {
    
            case .success(let array):
                self.textArray = result
                self.searchIngredients(textArray: self.textArray)
    
            case .failure(let error):
                print(error)
            }
        }
    }
    

    【讨论】:

      猜你喜欢
      • 2020-09-20
      • 1970-01-01
      • 2014-11-15
      • 1970-01-01
      • 2010-10-27
      • 2015-11-18
      • 1970-01-01
      相关资源
      最近更新 更多