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var resultAction: ((SparseArray<MLText.Block?>) -> Unit)? = null | |
override fun transactResult(results: MLAnalyzer.Result<MLText.Block?>) { | |
val items = results.analyseList | |
// Determine detection result processing as required. Note that only the detection results are processed. | |
// Other detection-related APIs provided by ML Kit cannot be called. | |
resultAction?.invoke(items) | |
resultAction = null | |
} |
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// TextRecognitionViewModel | |
fun analyzeStream() { | |
if (isCameraStarted) | |
textRecognizer.analyzeStream { | |
it.forEach { _, value -> | |
Timber.d("stringValue is ${value?.stringValue}") | |
outputLiveData.postValue(value?.stringValue) | |
value?.contents?.forEachIndexed { index, element -> | |
Timber.d("[$index] is ${element.stringValue}") |
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// TextRecognitionViewModel | |
fun analyzeBitmap(bitmap: Bitmap) { | |
textRecognizer.analyzeBitmap(bitmap) { | |
Timber.d("stringValue is ${it.stringValue}") | |
if (it.stringValue.isEmpty()) { | |
outputLiveData.value = "No text recognized !!" | |
Timber.e("No text recognized !!") | |
} |
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using UnityEngine; | |
public class CharacterStateMachine : StateMachineBehaviour | |
{ | |
public static CharacterAnimationState characterAnimationState; | |
public static BaseCharacter baseCharacter; | |
public static void setBaseCharacter<T>(T character) where T : BaseCharacter | |
{ |
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