/// <summary>
/// Process the input image and render into the output image
/// </summary>
/// <param name="imageIn">The input image</param>
/// <param name="imageOut">The output image, can be the same as imageIn, in which case we will render directly into the input image</param>
/// <returns>The messages that we want to display.</returns>
public string ProcessAndRender(IInputArray imageIn, IInputOutputArray imageOut)
{
Stopwatch watch = Stopwatch.StartNew();
_ocr.SetImage(imageIn);
if (_ocr.Recognize() != 0)
{
throw new Exception("Failed to recognize image");
}
String ocrResult = _ocr.GetUTF8Text();
watch.Stop();
if (imageOut != imageIn)
{
using (InputArray iaImageIn = imageIn.GetInputArray())
{
iaImageIn.CopyTo(imageOut);
}
}
return(String.Format(
"tesseract version {2}; lang: {0}; mode: {1}{3}Text Detected:{3}{4}",
_lang,
_mode.ToString(),
Emgu.CV.OCR.Tesseract.VersionString,
System.Environment.NewLine, ocrResult));
}
/// <summary>
/// Process the input image and render into the output image
/// </summary>
/// <param name="imageIn">The input image</param>
/// <param name="imageOut">The output image, can be the same as imageIn, in which case we will render directly into the input image</param>
/// <returns>The messages that we want to display.</returns>
public string ProcessAndRender(IInputArray imageIn, IInputOutputArray imageOut)
{
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
Stopwatch watch = Stopwatch.StartNew();
Detect(imageIn, faces, eyes);
watch.Stop();
if (imageOut != imageIn)
{
using (InputArray iaImageIn = imageIn.GetInputArray())
{
iaImageIn.CopyTo(imageOut);
}
}
//Draw the faces in red
foreach (Rectangle rect in faces)
{
CvInvoke.Rectangle(imageOut, rect, new MCvScalar(0, 0, 255), 2);
}
//Draw the eyes in blue
foreach (Rectangle rect in eyes)
{
CvInvoke.Rectangle(imageOut, rect, new MCvScalar(255, 0, 0), 2);
}
return(String.Format("Detected in {0} milliseconds.", watch.ElapsedMilliseconds));
}
/// <summary>
/// Process the input image and render into the output image
/// </summary>
/// <param name="imageIn">The input image</param>
/// <param name="imageOut">The output image, can be the same as imageIn, in which case we will render directly into the input image</param>
/// <returns>The messages that we want to display.</returns>
public string ProcessAndRender(IInputArray imageIn, IInputOutputArray imageOut)
{
if (imageOut != imageIn)
{
using (InputArray iaImageIn = imageIn.GetInputArray())
{
iaImageIn.CopyTo(imageOut);
}
}
Stopwatch watch = Stopwatch.StartNew();
List <DetectedObject> fullFaceRegions = new List <DetectedObject>();
List <DetectedObject> partialFaceRegions = new List <DetectedObject>();
_faceDetector.Detect(imageIn, fullFaceRegions, partialFaceRegions);
if (partialFaceRegions.Count > 0)
{
foreach (DetectedObject face in partialFaceRegions)
{
CvInvoke.Rectangle(imageOut, face.Region, new MCvScalar(0, 255, 0));
}
}
if (fullFaceRegions.Count > 0)
{
foreach (DetectedObject face in fullFaceRegions)
{
CvInvoke.Rectangle(imageOut, face.Region, new MCvScalar(0, 255, 0));
}
var fullFaceRegionsArr = fullFaceRegions.ToArray();
var rectRegionArr = Array.ConvertAll(fullFaceRegionsArr, r => r.Region);
using (VectorOfVectorOfPointF landmarks = _facemarkDetector.Detect(imageIn, rectRegionArr))
{
int len = landmarks.Size;
for (int i = 0; i < len; i++)
{
using (VectorOfPointF vpf = landmarks[i])
FaceInvoke.DrawFacemarks(imageOut, vpf, new MCvScalar(255, 0, 0));
}
}
}
watch.Stop();
return(String.Format("Detected in {0} milliseconds.", watch.ElapsedMilliseconds));
}
/// <summary>
/// Process the input image and render into the output image
/// </summary>
/// <param name="imageIn">The input image</param>
/// <param name="imageOut">The output image, can be the same as imageIn, in which case we will render directly into the input image</param>
/// <param name="matchScoreThreshold">A threshold used to filter boxes by score.</param>
/// <param name="nmsThreshold">A threshold used in non maximum suppression.</param>
/// <returns>The messages that we want to display.</returns>
public void ProcessAndRender(IInputArray imageIn, IInputOutputArray imageOut, float matchScoreThreshold = 0.5f, float nmsThreshold = 0.4f)
{
MaskedObject[] objects = Detect(imageIn, matchScoreThreshold, nmsThreshold);
if (imageOut != imageIn)
{
using (InputArray iaImageIn = imageIn.GetInputArray())
{
iaImageIn.CopyTo(imageOut);
}
}
foreach (var obj in objects)
{
obj.Render(imageOut, new MCvScalar(0, 0, 255), _colors[obj.ClassId]);
obj.Dispose();
}
}
/// <summary>
/// Process the input image and render into the output image
/// </summary>
/// <param name="imageIn">The input image</param>
/// <param name="imageOut">The output image, can be the same as imageIn, in which case we will render directly into the input image</param>
/// <returns>The messages that we want to display.</returns>
public String ProcessAndRender(IInputArray imageIn, IInputOutputArray imageOut)
{
Stopwatch watch = Stopwatch.StartNew();
var sceneTexts = Detect(imageIn);
watch.Stop();
if (imageOut != imageIn)
{
using (InputArray iaImageIn = imageIn.GetInputArray())
{
iaImageIn.CopyTo(imageOut);
}
}
Render(imageOut, sceneTexts);
return(String.Format("Detected in {0} milliseconds.", watch.ElapsedMilliseconds));
}
/// <summary>
/// Process the input image and render into the output image
/// </summary>
/// <param name="imageIn">The input image</param>
/// <param name="imageOut">The output image, can be the same as imageIn, in which case we will render directly into the input image</param>
/// <returns>The messages that we want to display.</returns>
public String ProcessAndRender(IInputArray imageIn, IInputOutputArray imageOut)
{
Stopwatch watch = Stopwatch.StartNew();
var detectedObjects = Detect(imageIn);
watch.Stop();
if (imageOut != imageIn)
{
using (InputArray iaImageIn = imageIn.GetInputArray())
{
iaImageIn.CopyTo(imageOut);
}
}
foreach (var detected in detectedObjects)
{
detected.Render(imageOut, new MCvScalar(0, 0, 255));
}
return(String.Format("Detected in {0} milliseconds.", watch.ElapsedMilliseconds));
}
/// <summary>
/// Process the input image and render into the output image
/// </summary>
/// <param name="imageIn">The input image</param>
/// <param name="imageOut">The output image, can be the same as imageIn, in which case we will render directly into the input image</param>
/// <returns>The messages that we want to display.</returns>
public string ProcessAndRender(IInputArray imageIn, IInputOutputArray imageOut)
{
Stopwatch watch = Stopwatch.StartNew();
Rectangle[] pedestrians = Find(imageIn);
watch.Stop();
if (imageOut != imageIn)
{
using (InputArray iaImageIn = imageIn.GetInputArray())
{
iaImageIn.CopyTo(imageOut);
}
}
foreach (Rectangle rect in pedestrians)
{
CvInvoke.Rectangle(imageOut, rect, new MCvScalar(0, 0, 255), 2);
}
return(String.Format("Detected in {0} milliseconds.", watch.ElapsedMilliseconds));
}
/// <summary>
/// Process the input image and render into the output image
/// </summary>
/// <param name="imageIn">The input image</param>
/// <param name="imageOut">The output image, can be the same as imageIn, in which case we will render directly into the input image</param>
/// <returns>The messages that we want to display.</returns>
public String ProcessAndRender(IInputArray imageIn, IInputOutputArray imageOut)
{
using (VectorOfMat points = new VectorOfMat())
{
Stopwatch watch = Stopwatch.StartNew();
String[] qrCodesFound = _weChatQRCodeDetectionModel.DetectAndDecode(imageIn, points);
watch.Stop();
for (int i = 0; i < qrCodesFound.Length; i++)
{
using (Mat p = points[i])
{
Point[] contour = MatToPoints(p);
using (VectorOfVectorOfPoint vpp = new VectorOfVectorOfPoint(new Point[][] { contour }))
{
CvInvoke.DrawContours(imageOut, vpp, -1, new MCvScalar(255, 0, 0));
}
}
//CvInvoke.DrawContours(imageOut, points, i, new MCvScalar(255, 0, 0));
//CvInvoke.PutText(imageOut, qrCodesFound[i], );
}
if (imageOut != imageIn)
{
using (InputArray iaImageIn = imageIn.GetInputArray())
{
iaImageIn.CopyTo(imageOut);
}
}
//foreach (var detected in detectedObjects)
// detected.Render(imageOut, new MCvScalar(0, 0, 255));
return(String.Format(
"QR codes found (in {1} milliseconds): {0}",
String.Join(";", String.Format("\"{0}\"", qrCodesFound)),
watch.ElapsedMilliseconds));
}
//var detectedObjects = Detect(imageIn);
}