我正在使用Vision框架,并且希望能够使用UITextField在图片中查找特定单词。例如,假设我在文本字段中输入了单词black,并且希望它检测到我所拥有的图片中的单词。我该怎么办?我使用的是Vision框架,我想出了如何检测文本的方法,但是卡在了可以检测文本字段中用户输入的单词的部分上。
func startTextDetection() {
let textRequest = VNDetectTextRectanglesRequest(completionHandler: self.detectTextHandler)
let request = VNRecognizeTextRequest(completionHandler: self.detectTextHandler)
request.recognitionLevel = .fast
textRequest.reportCharacterBoxes = true
self.requests = [textRequest]
}
func detectTextHandler(request: VNRequest, error: Error?) {
guard let observations = request.results else {
print("no result")
return
}
let result = observations.map({$0 as? VNTextObservation})
DispatchQueue.main.async() {
self.previewView.layer.sublayers?.removeSubrange(1...)
for region in result {
guard let rg = region else {
continue
}
self.highlightWord(box: rg)
if let boxes = region?.characterBoxes {
for characterBox in boxes {
self.highlightLetters(box: characterBox)
}
}
}
}
}
//when user presses search will search for text in pic.
func textFieldShouldReturn(_ searchTextField: UITextField) -> Bool {
searchTextField.resignFirstResponder()
startTextDetection()
return true
}
答案 0 :(得分:2)
您应该观看latest WWDC视觉框架。基本上是从iOS 13开始 VNRecognizeTextRequest返回文本以及图像中文本的边界框。 代码可以是这样的:
func startTextDetection() {
let request = VNRecognizeTextRequest(completionHandler: self.detectTextHandler)
request.recognitionLevel = .fast
self.requests = [request]
}
private func detectTextHandler(request: VNRequest, error: Error?) {
guard let observations = request.results as? [VNRecognizedTextObservation] else {
fatalError("Received invalid observations")
}
for lineObservation in observations {
guard let textLine = lineObservation.topCandidates(1).first else {
continue
}
let words = textLine.string.split{ $0.isWhitespace }.map{ String($0)}
for word in words {
if let wordRange = textLine.string.range(of: word) {
if let rect = try? textLine.boundingBox(for: wordRange)?.boundingBox {
// here you can check if word == textField.text
// rect is in image coordinate space, normalized with origin in the bottom left corner
}
}
}
}
}