//javadoc: CascadeClassifier::detectMultiScale3(image, objects, rejectLevels, levelWeights, scaleFactor, minNeighbors, flags)
public void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags)
{
ThrowIfDisposed();
if (image != null)
{
image.ThrowIfDisposed();
}
if (objects != null)
{
objects.ThrowIfDisposed();
}
if (rejectLevels != null)
{
rejectLevels.ThrowIfDisposed();
}
if (levelWeights != null)
{
levelWeights.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat objects_mat = objects;
Mat rejectLevels_mat = rejectLevels;
Mat levelWeights_mat = levelWeights;
objdetect_CascadeClassifier_detectMultiScale3_13(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj, scaleFactor, minNeighbors, flags);
return;
#else
return;
#endif
}
//
// C++: void detectMultiScale(Mat img, vector_Rect& foundLocations, vector_double& foundWeights, double hitThreshold = 0, Size winStride = Size(), Size padding = Size(), double scale = 1.05, double finalThreshold = 2.0, bool useMeanshiftGrouping = false)
//
//javadoc: HOGDescriptor::detectMultiScale(img, foundLocations, foundWeights, hitThreshold, winStride, padding, scale, finalThreshold, useMeanshiftGrouping)
public void detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride, Size padding, double scale, double finalThreshold, bool useMeanshiftGrouping)
{
ThrowIfDisposed();
if (img != null)
{
img.ThrowIfDisposed();
}
if (foundLocations != null)
{
foundLocations.ThrowIfDisposed();
}
if (foundWeights != null)
{
foundWeights.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat foundLocations_mat = foundLocations;
Mat foundWeights_mat = foundWeights;
objdetect_HOGDescriptor_detectMultiScale_10(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, foundWeights_mat.nativeObj, hitThreshold, winStride.width, winStride.height, padding.width, padding.height, scale, finalThreshold, useMeanshiftGrouping);
return;
#else
return;
#endif
}
//javadoc: HOGDescriptor::detectMultiScale(img, foundLocations, foundWeights)
public void detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights)
{
ThrowIfDisposed();
if (img != null)
{
img.ThrowIfDisposed();
}
if (foundLocations != null)
{
foundLocations.ThrowIfDisposed();
}
if (foundWeights != null)
{
foundWeights.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat foundLocations_mat = foundLocations;
Mat foundWeights_mat = foundWeights;
objdetect_HOGDescriptor_detectMultiScale_11(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, foundWeights_mat.nativeObj);
return;
#else
return;
#endif
}
//
// C++: void detect(Mat img, vector_Point& foundLocations, vector_double& weights, double hitThreshold = 0, Size winStride = Size(), Size padding = Size(), vector_Point searchLocations = std::vector<Point>())
//
//javadoc: HOGDescriptor::detect(img, foundLocations, weights, hitThreshold, winStride, padding, searchLocations)
public void detect(Mat img, MatOfPoint foundLocations, MatOfDouble weights, double hitThreshold, Size winStride, Size padding, MatOfPoint searchLocations)
{
ThrowIfDisposed();
if (img != null)
{
img.ThrowIfDisposed();
}
if (foundLocations != null)
{
foundLocations.ThrowIfDisposed();
}
if (weights != null)
{
weights.ThrowIfDisposed();
}
if (searchLocations != null)
{
searchLocations.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat foundLocations_mat = foundLocations;
Mat weights_mat = weights;
Mat searchLocations_mat = searchLocations;
objdetect_HOGDescriptor_detect_10(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, weights_mat.nativeObj, hitThreshold, winStride.width, winStride.height, padding.width, padding.height, searchLocations_mat.nativeObj);
return;
#else
return;
#endif
}
//javadoc: HOGDescriptor::detect(img, foundLocations, weights)
public void detect(Mat img, MatOfPoint foundLocations, MatOfDouble weights)
{
ThrowIfDisposed();
if (img != null)
{
img.ThrowIfDisposed();
}
if (foundLocations != null)
{
foundLocations.ThrowIfDisposed();
}
if (weights != null)
{
weights.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR) || UNITY_5
Mat foundLocations_mat = foundLocations;
Mat weights_mat = weights;
objdetect_HOGDescriptor_detect_11(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, weights_mat.nativeObj);
return;
#else
return;
#endif
}
//javadoc: CascadeClassifier::detectMultiScale(image, objects, rejectLevels, levelWeights)
public void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights)
{
ThrowIfDisposed();
if (image != null)
{
image.ThrowIfDisposed();
}
if (objects != null)
{
objects.ThrowIfDisposed();
}
if (rejectLevels != null)
{
rejectLevels.ThrowIfDisposed();
}
if (levelWeights != null)
{
levelWeights.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR) || UNITY_5
Mat objects_mat = objects;
Mat rejectLevels_mat = rejectLevels;
Mat levelWeights_mat = levelWeights;
objdetect_CascadeClassifier_detectMultiScale3_11(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj);
return;
#else
return;
#endif
}
//
// C++: void detectMultiScale(Mat image, vector_Rect& objects, vector_int& rejectLevels, vector_double& levelWeights, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size(), bool outputRejectLevels = false)
//
//javadoc: CascadeClassifier::detectMultiScale(image, objects, rejectLevels, levelWeights, scaleFactor, minNeighbors, flags, minSize, maxSize, outputRejectLevels)
public void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize, bool outputRejectLevels)
{
ThrowIfDisposed();
if (image != null)
{
image.ThrowIfDisposed();
}
if (objects != null)
{
objects.ThrowIfDisposed();
}
if (rejectLevels != null)
{
rejectLevels.ThrowIfDisposed();
}
if (levelWeights != null)
{
levelWeights.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR) || UNITY_5
Mat objects_mat = objects;
Mat rejectLevels_mat = rejectLevels;
Mat levelWeights_mat = levelWeights;
objdetect_CascadeClassifier_detectMultiScale3_10(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height, outputRejectLevels);
return;
#else
return;
#endif
}
//
// C++: int64 cv::dnn::Net::getPerfProfile(vector_double& timings)
//
//javadoc: Net::getPerfProfile(timings)
public long getPerfProfile(MatOfDouble timings)
{
ThrowIfDisposed();
if (timings != null)
{
timings.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat timings_mat = timings;
long retVal = dnn_Net_getPerfProfile_10(nativeObj, timings_mat.nativeObj);
return(retVal);
#else
return(-1);
#endif
}