private List <Match> findObjects(Image <Bgr, byte> image, out long preprocessTime, out long matchTime)
{
var grayIm = image.Convert <Gray, byte>();
var bestRepresentatives = new List <Match>();
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
linPyr = LinearizedMapPyramid.CreatePyramid(grayIm); //prepeare linear-pyramid maps
preprocessTime = stopwatch.ElapsedMilliseconds;
stopwatch.Restart();
List <Match> matches = linPyr.MatchTemplates(templPyrs, threshold);
stopwatch.Stop(); matchTime = stopwatch.ElapsedMilliseconds;
var matchGroups = new MatchClustering(minDetectionsPerGroup).Group(matches.ToArray());
foreach (var group in matchGroups)
{
bestRepresentatives.Add(group.Representative);
}
return(bestRepresentatives);
}
/// <summary>
/// find the matches in the given image with stopwatch included.
/// </summary>
/// <param name="image">input image.</param>
/// <param name="templPyrs">input template list.</param
/// <param name="preprocessTime">Time for preprocessing .</param>
/// <param name="matchTime">The time it takes to find matches</param>
/// <param name="Threshold">the threshold for the matching algor.</param>
/// <param name="labels">the specific label(s) that included in the returned List
/// set to null to find all matches</param>
/// <param name="userFunc">Input User Function for customization and diversity</param>
/// <returns>List of found matches.</returns>
public static List <Match> findObjects(Bgr <byte>[,] image, List <TemplatePyramid> templPyrs, out long preprocessTime, out long matchTime, int Threshold = 80, String[] labels = null, int minDetectionsPerGroup = 0, Func <List <Match>, List <Match> > userFunc = null)
{
var grayIm = image.ToGray();
var bestRepresentatives = new List <Match>();
//userFunc = (userFunc != null) ? userFunc : (inputList) => inputList;
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
LinearizedMapPyramid linPyr = LinearizedMapPyramid.CreatePyramid(grayIm); //prepare linear-pyramid maps
preprocessTime = stopwatch.ElapsedMilliseconds;
stopwatch.Restart();
List <Match> matches = linPyr.MatchTemplates(templPyrs, Threshold);
stopwatch.Stop(); matchTime = stopwatch.ElapsedMilliseconds;
var matchGroups = new MatchClustering(minDetectionsPerGroup).Group(matches.ToArray());
foreach (var group in matchGroups)
{
if (labels == null ? true : labels.Contains(group.Representative.Template.ClassLabel))
{
bestRepresentatives.Add(group.Representative);
}
}
if (userFunc != null)
{
bestRepresentatives = userFunc(bestRepresentatives);
}
return(bestRepresentatives);
}
private List<Match> findObjects(Bgr<byte>[,] image, out long preprocessTime, out long matchTime)
{
var grayIm = image.ToGray();
var bestRepresentatives = new List<Match>();
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
linPyr = LinearizedMapPyramid.CreatePyramid(grayIm); //prepare linear-pyramid maps
preprocessTime = stopwatch.ElapsedMilliseconds;
stopwatch.Restart();
List<Match> matches = linPyr.MatchTemplates(templPyrs, threshold);
stopwatch.Stop(); matchTime = stopwatch.ElapsedMilliseconds;
var matchGroups = new MatchClustering(minDetectionsPerGroup).Group(matches.ToArray());
foreach (var group in matchGroups)
{
bestRepresentatives.Add(group.Representative);
}
return bestRepresentatives;
}
