/// <summary>
/// Detect objects by template matching. Matches globally at the lowest pyramid level, then refines locally stepping up the pyramid.
/// </summary>
/// <param name="sources">Source images, one for each modality.</param>
/// <param name="threshold">Similarity threshold, a percentage between 0 and 100.</param>
/// <param name="matches">Template matches, sorted by similarity score.</param>
/// <param name="classIds">If non-empty, only search for the desired object classes.</param>
/// <param name="quantizedImages">Optionally return vector<Mat> of quantized images.</param>
/// <param name="masks">The masks for consideration during matching. The masks should be CV_8UC1 where 255 represents a valid pixel. If non-empty, the vector must be the same size as sources. Each element must be empty or the same size as its corresponding source.</param>
public void Match(
VectorOfMat sources,
float threshold,
VectorOfLinemodMatch matches,
VectorOfCvString classIds = null,
IOutputArrayOfArrays quantizedImages = null,
VectorOfMat masks = null)
{
using (OutputArray oaQuantizedImages =
quantizedImages == null ? OutputArray.GetEmpty() : quantizedImages.GetOutputArray())
{
LinemodInvoke.cveLinemodDetectorMatch(
_ptr,
sources,
threshold,
matches,
classIds,
oaQuantizedImages,
masks
);
}
}
