public int CompareTo(FormProperty rhs)
{
int result = Name.CompareTo(rhs.Name);
if (result != 0)
{
return(result);
}
result = (ForeColor ?? Color.Black).ToArgb().CompareTo((rhs.ForeColor ?? Color.Black).ToArgb());
if (result != 0)
{
return(result);
}
result = (BackColor ?? Color.Black).ToArgb().CompareTo((rhs.BackColor ?? Color.Black).ToArgb());
if (result != 0)
{
return(result);
}
result = GroupingModes.SequenceCompareTo(rhs.GroupingModes);
if (result != 0)
{
return(result);
}
result = PivotModes.SequenceCompareTo(rhs.PivotModes);
if (result != 0)
{
return(result);
}
result = SortColumns.SequenceCompareTo(rhs.SortColumns);
if (result != 0)
{
return(result);
}
return(ColumnProperties.SequenceCompareTo(rhs.ColumnProperties));
}
/// <summary>
/// This one has no documentation in OpenCV sources or knowledge base
/// </summary>
/// <param name="image">Original RGB or Greyscale image from wich the regions were extracted</param>
/// <param name="channel">Vector of single channel images CV_8UC1 from wich the regions were extracted</param>
/// <param name="regions">Regions extracted by DetectRegions function</param>
/// <param name="groups_rects">The output of the algorithm are stored in this parameter as list of rectangles</param>
/// <param name="method">Grouping method (see GroupingModes). Can be one of { OrientationHorizontal, OrientationAny }</param>
/// <param name="filename">The XML or YAML file with the classifier model. Only to use when grouping method is OrientationAny</param>
/// <param name="minProbablity">The minimum probability for accepting a group. Only to use when grouping method is OrientationAny</param>
public static void ErGrouping(Mat image, Mat[] channels, Point[][] regions, out Rect[] groups_rects, GroupingModes method, string filename = null, float minProbablity = 0.5f)
{
using (var vecChannels = new InputArray(channels))
using (var vecRegions = new VectorOfVectorPoint(regions))
using (var vecRects = new VectorOfRect())
using (var input = new InputArray(image))
{
if (null == filename)
{
filename = string.Empty;
}
NativeMethods.text_erGrouping2(input.CvPtr, vecChannels.CvPtr, vecRegions.CvPtr, vecRects.CvPtr, (int)method, filename, minProbablity);
groups_rects = vecRects.ToArray();
}
}
