/// <summary>
/// Recognize text using the tesseract-ocr API.
/// Takes image on input and returns recognized text in the output_text parameter.
/// Optionally provides also the Rects for individual text elements found(e.g.words),
/// and the list of those text elements with their confidence values.
/// </summary>
/// <param name="image">Input image CV_8UC1 or CV_8UC3</param>
/// <param name="outputText">Output text of the tesseract-ocr.</param>
/// <param name="componentRects">If provided the method will output a list of Rects for the individual
/// text elements found(e.g.words or text lines).</param>
/// <param name="componentTexts">If provided the method will output a list of text strings for the
/// recognition of individual text elements found(e.g.words or text lines).</param>
/// <param name="componentConfidences">If provided the method will output a list of confidence values
/// for the recognition of individual text elements found(e.g.words or text lines).</param>
/// <param name="componentLevel">OCR_LEVEL_WORD (by default), or OCR_LEVEL_TEXT_LINE.</param>
public override void Run(
Mat image,
out string outputText,
out Rect[] componentRects,
out string?[] componentTexts,
out float[] componentConfidences,
ComponentLevels componentLevel = ComponentLevels.Word)
{
if (image == null)
{
throw new ArgumentNullException(nameof(image));
}
image.ThrowIfDisposed();
using var outputTextString = new StdString();
using var componentRectsVector = new VectorOfRect();
using var componentTextsVector = new VectorOfString();
using var componentConfidencesVector = new VectorOfFloat();
NativeMethods.HandleException(
NativeMethods.text_OCRTesseract_run1(
ptr,
image.CvPtr,
outputTextString.CvPtr,
componentRectsVector.CvPtr,
componentTextsVector.CvPtr,
componentConfidencesVector.CvPtr,
(int)componentLevel));
outputText = outputTextString.ToString();
componentRects = componentRectsVector.ToArray();
componentTexts = componentTextsVector.ToArray();
componentConfidences = componentConfidencesVector.ToArray();
GC.KeepAlive(this);
GC.KeepAlive(image);
}
/// <summary>
///
/// </summary>
/// <returns></returns>
public string[] GetParams()
{
using (var namesVec = new VectorOfString())
{
NativeMethods.core_AlgorithmInfo_getParams(ptr, namesVec.CvPtr);
return namesVec.ToArray();
}
}
/// <summary>
///
/// </summary>
/// <returns></returns>
public string?[] GetLayerNames()
{
using var namesVec = new VectorOfString();
NativeMethods.HandleException(
NativeMethods.dnn_Net_getLayerNames(ptr, namesVec.CvPtr));
GC.KeepAlive(this);
return(namesVec.ToArray());
}
/// <summary>
///
/// </summary>
/// <returns></returns>
public string[] GetLayerNames()
{
using (var namesVec = new VectorOfString())
{
NativeMethods.dnn_Net_getLayerNames(ptr, namesVec.CvPtr);
GC.KeepAlive(this);
return(namesVec.ToArray());
}
}
/// <summary>
/// Returns names of layers with unconnected outputs.
/// </summary>
/// <returns></returns>
public string?[] GetUnconnectedOutLayersNames()
{
ThrowIfDisposed();
using var resultVec = new VectorOfString();
NativeMethods.HandleException(
NativeMethods.dnn_Net_getUnconnectedOutLayersNames(ptr, resultVec.CvPtr));
GC.KeepAlive(this);
return(resultVec.ToArray());
}
/// <summary>
///
/// </summary>
/// <returns></returns>
public void DetectAndDecode(InputArray inputImage, out Mat[] bbox, out string?[] results)
{
if (inputImage == null)
{
throw new ArgumentNullException(nameof(inputImage));
}
inputImage.ThrowIfDisposed();
using var bboxVec = new VectorOfMat();
using var texts = new VectorOfString();
NativeMethods.HandleException(
NativeMethods.wechat_qrcode_WeChatQRCode_detectAndDecode(
ptr, inputImage.CvPtr, bboxVec.CvPtr, texts.CvPtr));
bbox = bboxVec.ToArray();
results = texts.ToArray();
GC.KeepAlive(this);
GC.KeepAlive(inputImage);
}
/// <summary>
/// Returns names of layers with unconnected outputs.
/// </summary>
/// <returns></returns>
public string[] GetUnconnectedOutLayersNames()
{
ThrowIfDisposed();
try
{
using (var resultVec = new VectorOfString())
{
NativeMethods.dnn_Net_getUnconnectedOutLayersNames(ptr, resultVec.CvPtr);
return(resultVec.ToArray());
}
}
finally
{
GC.KeepAlive(this);
}
}
/// <summary>
/// Return the class (model) names that were passed in constructor or method load or extracted from models filenames in those methods.
/// </summary>
/// <returns></returns>
public string[] GetClassNames()
{
using (var outVec = new VectorOfString())
{
NativeMethods.objdetect_LatentSvmDetector_getClassNames(ptr, outVec.CvPtr);
return outVec.ToArray();
}
}
/// <summary>
/// Returns the list of registered algorithms
/// </summary>
/// <returns>The output array of algorithm names.</returns>
public static string[] GetList()
{
using (var vec = new VectorOfString())
{
NativeMethods.core_Algorithm_getList(vec.CvPtr);
return vec.ToArray();
}
}