erdalkaymak

{
  "assignedLabels" : [
    {
      
    }
  ],
  "mode" : "NORMAL",
  "nodeDescription" : "the master Jenkins node",
  "nodeName" : "",
  "numExecutors" : 2,

erdalkaymak

val task: Task<MLText> = analyzer.asyncAnalyseFrame(frame)
        task.addOnSuccessListener {
            txt_translate_result.visibility= View.VISIBLE
            txt_to.visibility= View.VISIBLE
            txt_translation.visibility= View.VISIBLE
            toSpinner.visibility= View.VISIBLE
            selected_img.visibility= View.VISIBLE
            text_recognition_device_text.visibility= View.VISIBLE
            text_recognition_device_text.setText(it.stringValue)
            detectAndTranslateLanguage(it.stringValue, txt_translation,languageCode.toString(),applicationContext)

erdalkaymak

dependencies{ 
// Import the base SDK.
  implementation 'com.huawei.hms:ml-computer-vision-ocr:2.0.5.300'
  // Import the Latin-based language model package.
  implementation 'com.huawei.hms:ml-computer-vision-ocr-latin-model:2.0.5.300'
  // Import the Japanese and Korean model package.
  implementation 'com.huawei.hms:ml-computer-vision-ocr-jk-model:2.0.5.300'
  // Import the Chinese and English model package.
  implementation 'com.huawei.hms:ml-computer-vision-ocr-cn-model:2.0.5.300'
}

erdalkaymak

<?xml version="1.0" encoding="utf-8"?>
<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
    xmlns:app="http://schemas.android.com/apk/res-auto"
    xmlns:tools="http://schemas.android.com/tools"
    android:layout_width="match_parent"
    android:layout_height="match_parent"
    tools:context=".MainActivity">

    <ScrollView
        android:layout_width="match_parent"

erdalkaymak

private fun performTextRecognitionOnDevice(bitmap: Bitmap){
        var myText:String?=null
        val setting = MLLocalTextSetting.Factory()
            .setOCRMode(MLLocalTextSetting.OCR_DETECT_MODE)
            .create()
        val analyzer = MLAnalyzerFactory.getInstance().getLocalTextAnalyzer(setting)
        val frame = MLFrame.fromBitmap(bitmap)
        val task: Task<MLText> = analyzer.asyncAnalyseFrame(frame)
  
        task.addOnSuccessListener {

erdalkaymak

    private var isEntered=false
    private var detectedText:String?=null
    private val myCameraRequestCode = 100
    private val myStorageRequestCode = 300
    private var languageCode: String?=null
    private var selectedImageBitmap: Bitmap?=null
    private var toLanguageList = arrayOf(
        "Chinese",
        "English",
        "French",

erdalkaymak

 val policy = StrictMode.ThreadPolicy.Builder().permitAll().build()
 StrictMode.setThreadPolicy(policy)

 MLApplication.getInstance().apiKey = ""

        val adapterTo = ArrayAdapter(this, android.R.layout.simple_spinner_item, toLanguageList)
        toSpinner.adapter = adapterTo
                toSpinner.onItemSelectedListener = object :
            AdapterView.OnItemSelectedListener {
            override fun onItemSelected(parent: AdapterView<*>, view: View, position: Int, id: Long) {

erdalkaymak

override fun onActivityResult(requestCode: Int, resultCode: Int, data: Intent?) {
        super.onActivityResult(requestCode, resultCode, data)
        if (requestCode == 100) {
            if (resultCode == Activity.RESULT_OK) {
                selectedImageBitmap = data?.extras?.get("data") as Bitmap
                selected_img.setImageBitmap(selectedImageBitmap)
                performTextRecognitionOnDevice(selectedImageBitmap!!)
            } else {
                if (data != null) {
                    MediaStore.Images.Media.getBitmap(

erdalkaymak

dependencies{
    implementation 'com.huawei.hms:ml-computer-language-detection:2.0.5.300'
}

erdalkaymak

fun detectAndTranslateLanguage(sourceText: String,detectedLangText:TextView,selectedLanguage: String,mContext:Context) {
            val setting = MLRemoteLangDetectorSetting.Factory()
                    .setTrustedThreshold(0.01f)
                    .create()
            val mlRemoteLangDetector = MLLangDetectorFactory.getInstance()
                .getRemoteLangDetector(setting)
            try {
                fromLanguageCode = mlRemoteLangDetector!!.syncFirstBestDetect(sourceText)
                Log.i("myLanguageCode",sourceText+" "+"("+ fromLanguageCode+")")
                SharedPreferencesUtil.getInstance(mContext)?.putStringValue("detectedLanguage",