//
// C++: void detect(Mat inputImage, vector_Rect& Bbox, vector_float& confidence)
//
//javadoc: TextDetector::detect(inputImage, Bbox, confidence)
public virtual void detect(Mat inputImage, MatOfRect Bbox, MatOfFloat confidence)
{
ThrowIfDisposed();
if (inputImage != null)
{
inputImage.ThrowIfDisposed();
}
if (Bbox != null)
{
Bbox.ThrowIfDisposed();
}
if (confidence != null)
{
confidence.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat Bbox_mat = Bbox;
Mat confidence_mat = confidence;
text_TextDetector_detect_10(nativeObj, inputImage.nativeObj, Bbox_mat.nativeObj, confidence_mat.nativeObj);
return;
#else
return;
#endif
}
//javadoc: detectRegions(image, er_filter1, er_filter2, groups_rects)
public static void detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, MatOfRect groups_rects)
{
if (image != null)
{
image.ThrowIfDisposed();
}
if (er_filter1 != null)
{
er_filter1.ThrowIfDisposed();
}
if (er_filter2 != null)
{
er_filter2.ThrowIfDisposed();
}
if (groups_rects != null)
{
groups_rects.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat groups_rects_mat = groups_rects;
text_Text_detectRegions_13(image.nativeObj, er_filter1.getNativeObjAddr(), er_filter2.getNativeObjAddr(), groups_rects_mat.nativeObj);
return;
#else
return;
#endif
}
//javadoc: erGrouping(image, channel, regions, groups_rects)
public static void erGrouping(Mat image, Mat channel, List <MatOfPoint> regions, MatOfRect groups_rects)
{
if (image != null)
{
image.ThrowIfDisposed();
}
if (channel != null)
{
channel.ThrowIfDisposed();
}
if (groups_rects != null)
{
groups_rects.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
List <Mat> regions_tmplm = new List <Mat>((regions != null) ? regions.Count : 0);
Mat regions_mat = Converters.vector_vector_Point_to_Mat(regions, regions_tmplm);
Mat groups_rects_mat = groups_rects;
text_Text_erGrouping_13(image.nativeObj, channel.nativeObj, regions_mat.nativeObj, groups_rects_mat.nativeObj);
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
}
//javadoc: CascadeClassifier::detectMultiScale2(image, objects, numDetections, scaleFactor, minNeighbors, flags, minSize)
public void detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor, int minNeighbors, int flags, Size minSize)
{
ThrowIfDisposed();
if (image != null)
{
image.ThrowIfDisposed();
}
if (objects != null)
{
objects.ThrowIfDisposed();
}
if (numDetections != null)
{
numDetections.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 numDetections_mat = numDetections;
objdetect_CascadeClassifier_detectMultiScale2_11(nativeObj, image.nativeObj, objects_mat.nativeObj, numDetections_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height);
return;
#else
return;
#endif
}
//javadoc: NMSBoxes(bboxes, scores, score_threshold, nms_threshold, indices)
public static void NMSBoxes(MatOfRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices)
{
if (bboxes != null)
{
bboxes.ThrowIfDisposed();
}
if (scores != null)
{
scores.ThrowIfDisposed();
}
if (indices != null)
{
indices.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat bboxes_mat = bboxes;
Mat scores_mat = scores;
Mat indices_mat = indices;
dnn_Dnn_NMSBoxes_12(bboxes_mat.nativeObj, scores_mat.nativeObj, score_threshold, nms_threshold, indices_mat.nativeObj);
return;
#else
return;
#endif
}
//javadoc: CascadeClassifier::detectMultiScale2(image, objects, numDetections)
public void detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections)
{
ThrowIfDisposed();
if (image != null)
{
image.ThrowIfDisposed();
}
if (objects != null)
{
objects.ThrowIfDisposed();
}
if (numDetections != null)
{
numDetections.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 numDetections_mat = numDetections;
objdetect_CascadeClassifier_detectMultiScale2_15(nativeObj, image.nativeObj, objects_mat.nativeObj, numDetections_mat.nativeObj);
return;
#else
return;
#endif
}
//javadoc: CascadeClassifier::detectMultiScale3(image, objects, rejectLevels, levelWeights, scaleFactor, minNeighbors, flags, minSize, maxSize)
public void detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)
{
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_11(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height);
return;
#else
return;
#endif
}
//javadoc: CascadeClassifier::detectMultiScale3(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_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_16(nativeObj, image.nativeObj, objects_mat.nativeObj, rejectLevels_mat.nativeObj, levelWeights_mat.nativeObj);
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
}
//
// C++: void process(vector_Rect& rects)
//
//javadoc: SelectiveSearchSegmentation::process(rects)
public void process(MatOfRect rects)
{
ThrowIfDisposed();
if (rects != null)
{
rects.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat rects_mat = rects;
ximgproc_SelectiveSearchSegmentation_process_10(nativeObj, rects_mat.nativeObj);
return;
#else
return;
#endif
}
//javadoc: groupRectangles(rectList, weights, groupThreshold)
public static void groupRectangles(MatOfRect rectList, MatOfInt weights, int groupThreshold)
{
if (rectList != null)
{
rectList.ThrowIfDisposed();
}
if (weights != null)
{
weights.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat rectList_mat = rectList;
Mat weights_mat = weights;
objdetect_Objdetect_groupRectangles_11(rectList_mat.nativeObj, weights_mat.nativeObj, groupThreshold);
return;
#else
return;
#endif
}
//javadoc: CascadeClassifier::detectMultiScale(image, objects, scaleFactor)
public void detectMultiScale(Mat image, MatOfRect objects, double scaleFactor)
{
ThrowIfDisposed();
if (image != null)
{
image.ThrowIfDisposed();
}
if (objects != null)
{
objects.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat objects_mat = objects;
objdetect_CascadeClassifier_detectMultiScale_14(nativeObj, image.nativeObj, objects_mat.nativeObj, scaleFactor);
return;
#else
return;
#endif
}
//
// C++: bool read(FileNode node)
//
// Unknown type 'FileNode' (I), skipping the function
//
// C++: void detectMultiScale(Mat image, vector_Rect& objects, double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0, Size minSize = Size(), Size maxSize = Size())
//
//javadoc: CascadeClassifier::detectMultiScale(image, objects, scaleFactor, minNeighbors, flags, minSize, maxSize)
public void detectMultiScale(Mat image, MatOfRect objects, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)
{
ThrowIfDisposed();
if (image != null)
{
image.ThrowIfDisposed();
}
if (objects != null)
{
objects.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR) || UNITY_5
Mat objects_mat = objects;
objdetect_CascadeClassifier_detectMultiScale_10(nativeObj, image.nativeObj, objects_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height);
return;
#else
return;
#endif
}
//javadoc: CascadeClassifier::detectMultiScale(image, objects)
public void detectMultiScale(Mat image, MatOfRect objects)
{
ThrowIfDisposed();
if (image != null)
{
image.ThrowIfDisposed();
}
if (objects != null)
{
objects.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR) || UNITY_5
Mat objects_mat = objects;
objdetect_CascadeClassifier_detectMultiScale_11(nativeObj, image.nativeObj, objects_mat.nativeObj);
return;
#else
return;
#endif
}
//
// C++: void cv::MSER::detectRegions(Mat image, vector_vector_Point& msers, vector_Rect& bboxes)
//
//javadoc: MSER::detectRegions(image, msers, bboxes)
public void detectRegions(Mat image, List <MatOfPoint> msers, MatOfRect bboxes)
{
ThrowIfDisposed();
if (image != null)
{
image.ThrowIfDisposed();
}
if (bboxes != null)
{
bboxes.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat msers_mat = new Mat();
Mat bboxes_mat = bboxes;
features2d_MSER_detectRegions_10(nativeObj, image.nativeObj, msers_mat.nativeObj, bboxes_mat.nativeObj);
Converters.Mat_to_vector_vector_Point(msers_mat, msers);
msers_mat.release();
return;
#else
return;
#endif
}
//
// C++: bool cv::face::Facemark::fit(Mat image, vector_Rect faces, vector_vector_Point2f& landmarks)
//
//javadoc: Facemark::fit(image, faces, landmarks)
public bool fit(Mat image, MatOfRect faces, List <MatOfPoint2f> landmarks)
{
ThrowIfDisposed();
if (image != null)
{
image.ThrowIfDisposed();
}
if (faces != null)
{
faces.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat faces_mat = faces;
Mat landmarks_mat = new Mat();
bool retVal = face_Facemark_fit_10(nativeObj, image.nativeObj, faces_mat.nativeObj, landmarks_mat.nativeObj);
Converters.Mat_to_vector_vector_Point2f(landmarks_mat, landmarks);
landmarks_mat.release();
return(retVal);
#else
return(false);
#endif
}
//
// C++: void cv::motempl::segmentMotion(Mat mhi, Mat& segmask, vector_Rect& boundingRects, double timestamp, double segThresh)
//
//javadoc: segmentMotion(mhi, segmask, boundingRects, timestamp, segThresh)
public static void segmentMotion(Mat mhi, Mat segmask, MatOfRect boundingRects, double timestamp, double segThresh)
{
if (mhi != null)
{
mhi.ThrowIfDisposed();
}
if (segmask != null)
{
segmask.ThrowIfDisposed();
}
if (boundingRects != null)
{
boundingRects.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat boundingRects_mat = boundingRects;
optflow_Optflow_segmentMotion_10(mhi.nativeObj, segmask.nativeObj, boundingRects_mat.nativeObj, timestamp, segThresh);
return;
#else
return;
#endif
}
//
// C++: void getBoundingBoxes(Mat edge_map, Mat orientation_map, vector_Rect& boxes)
//
//javadoc: EdgeBoxes::getBoundingBoxes(edge_map, orientation_map, boxes)
public void getBoundingBoxes(Mat edge_map, Mat orientation_map, MatOfRect boxes)
{
ThrowIfDisposed();
if (edge_map != null)
{
edge_map.ThrowIfDisposed();
}
if (orientation_map != null)
{
orientation_map.ThrowIfDisposed();
}
if (boxes != null)
{
boxes.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat boxes_mat = boxes;
ximgproc_EdgeBoxes_getBoundingBoxes_10(nativeObj, edge_map.nativeObj, orientation_map.nativeObj, boxes_mat.nativeObj);
return;
#else
return;
#endif
}