void DoProcess()
{
if (!(owner.Value is OpenCVForUnityPlayMakerActions.MSER))
{
LogError("owner is not initialized. Add Action \"newMSER\".");
return;
}
OpenCVForUnity.Features2dModule.MSER wrapped_owner = OpenCVForUnityPlayMakerActionsUtils.GetWrappedObject <OpenCVForUnityPlayMakerActions.MSER, OpenCVForUnity.Features2dModule.MSER>(owner);
if (!(image.Value is OpenCVForUnityPlayMakerActions.Mat))
{
LogError("image is not initialized. Add Action \"newMat\".");
return;
}
OpenCVForUnity.CoreModule.Mat wrapped_image = OpenCVForUnityPlayMakerActionsUtils.GetWrappedObject <OpenCVForUnityPlayMakerActions.Mat, OpenCVForUnity.CoreModule.Mat>(image);
List <OpenCVForUnity.CoreModule.MatOfPoint> wrapped_msers = new List <OpenCVForUnity.CoreModule.MatOfPoint>();
OpenCVForUnityPlayMakerActionsUtils.ConvertFsmArrayToList <OpenCVForUnityPlayMakerActions.MatOfPoint, OpenCVForUnity.CoreModule.MatOfPoint>(msers, wrapped_msers);
if (!(bboxes.Value is OpenCVForUnityPlayMakerActions.MatOfRect))
{
LogError("bboxes is not initialized. Add Action \"newMatOfRect\".");
return;
}
OpenCVForUnity.CoreModule.MatOfRect wrapped_bboxes = OpenCVForUnityPlayMakerActionsUtils.GetWrappedObject <OpenCVForUnityPlayMakerActions.MatOfRect, OpenCVForUnity.CoreModule.MatOfRect>(bboxes);
wrapped_owner.detectRegions(wrapped_image, wrapped_msers, wrapped_bboxes);
OpenCVForUnityPlayMakerActionsUtils.ConvertListToFsmArray <OpenCVForUnity.CoreModule.MatOfPoint, OpenCVForUnityPlayMakerActions.MatOfPoint>(wrapped_msers, msers);
}
//javadoc: MSER::create(_delta, _min_area, _max_area, _max_variation, _min_diversity, _max_evolution)
public static MSER create(int _delta, int _min_area, int _max_area, double _max_variation, double _min_diversity, int _max_evolution)
{
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
MSER retVal = MSER.__fromPtr__(features2d_MSER_create_13(_delta, _min_area, _max_area, _max_variation, _min_diversity, _max_evolution));
return(retVal);
#else
return(null);
#endif
}
//javadoc: MSER::create()
public static MSER create()
{
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
MSER retVal = MSER.__fromPtr__(features2d_MSER_create_19());
return(retVal);
#else
return(null);
#endif
}
//javadoc: MSER::create(_delta, _min_area, _max_area)
public static MSER create(int _delta, int _min_area, int _max_area)
{
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
MSER retVal = MSER.__fromPtr__(features2d_MSER_create_16(_delta, _min_area, _max_area));
return(retVal);
#else
return(null);
#endif
}
void DoProcess()
{
if (!(owner.Value is OpenCVForUnityPlayMakerActions.MSER))
{
LogError("owner is not initialized. Add Action \"newMSER\".");
return;
}
OpenCVForUnity.Features2dModule.MSER wrapped_owner = OpenCVForUnityPlayMakerActionsUtils.GetWrappedObject <OpenCVForUnityPlayMakerActions.MSER, OpenCVForUnity.Features2dModule.MSER>(owner);
wrapped_owner.setMaxArea(maxArea.Value);
}
void DoProcess()
{
if (!(owner.Value is OpenCVForUnityPlayMakerActions.MSER))
{
LogError("owner is not initialized. Add Action \"newMSER\".");
return;
}
OpenCVForUnity.Features2dModule.MSER wrapped_owner = OpenCVForUnityPlayMakerActionsUtils.GetWrappedObject <OpenCVForUnityPlayMakerActions.MSER, OpenCVForUnity.Features2dModule.MSER>(owner);
storeResult.Value = wrapped_owner.getDelta();
}
//
// C++: static Ptr_MSER cv::MSER::create(int _delta = 5, int _min_area = 60, int _max_area = 14400, double _max_variation = 0.25, double _min_diversity = .2, int _max_evolution = 200, double _area_threshold = 1.01, double _min_margin = 0.003, int _edge_blur_size = 5)
//
/**
* Full constructor for %MSER detector
*
* param _delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param _min_area prune the area which smaller than minArea
* param _max_area prune the area which bigger than maxArea
* param _max_variation prune the area have similar size to its children
* param _min_diversity for color image, trace back to cut off mser with diversity less than min_diversity
* param _max_evolution for color image, the evolution steps
* param _area_threshold for color image, the area threshold to cause re-initialize
* param _min_margin for color image, ignore too small margin
* param _edge_blur_size for color image, the aperture size for edge blur
* return automatically generated
*/
public static MSER create(int _delta, int _min_area, int _max_area, double _max_variation, double _min_diversity, int _max_evolution, double _area_threshold, double _min_margin, int _edge_blur_size)
{
return(MSER.__fromPtr__(features2d_MSER_create_10(_delta, _min_area, _max_area, _max_variation, _min_diversity, _max_evolution, _area_threshold, _min_margin, _edge_blur_size)));
}
/**
* Full constructor for %MSER detector
*
* return automatically generated
*/
public static MSER create()
{
return(MSER.__fromPtr__(features2d_MSER_create_19()));
}
/**
* Full constructor for %MSER detector
*
* param _delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* return automatically generated
*/
public static MSER create(int _delta)
{
return(MSER.__fromPtr__(features2d_MSER_create_18(_delta)));
}
/**
* Full constructor for %MSER detector
*
* param _delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param _min_area prune the area which smaller than minArea
* return automatically generated
*/
public static MSER create(int _delta, int _min_area)
{
return(MSER.__fromPtr__(features2d_MSER_create_17(_delta, _min_area)));
}
/**
* Full constructor for %MSER detector
*
* param _delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param _min_area prune the area which smaller than minArea
* param _max_area prune the area which bigger than maxArea
* param _max_variation prune the area have similar size to its children
* return automatically generated
*/
public static MSER create(int _delta, int _min_area, int _max_area, double _max_variation)
{
return(MSER.__fromPtr__(features2d_MSER_create_15(_delta, _min_area, _max_area, _max_variation)));
}
/**
* Full constructor for %MSER detector
*
* param _delta it compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
* param _min_area prune the area which smaller than minArea
* param _max_area prune the area which bigger than maxArea
* param _max_variation prune the area have similar size to its children
* param _min_diversity for color image, trace back to cut off mser with diversity less than min_diversity
* param _max_evolution for color image, the evolution steps
* return automatically generated
*/
public static MSER create(int _delta, int _min_area, int _max_area, double _max_variation, double _min_diversity, int _max_evolution)
{
return(MSER.__fromPtr__(features2d_MSER_create_13(_delta, _min_area, _max_area, _max_variation, _min_diversity, _max_evolution)));
}
public MSER(OpenCVForUnity.Features2dModule.MSER nativeObj) : base(nativeObj)
{
}
