/// <summary>
/// Prepares the blender for blending.
/// </summary>
/// <param name="corners">Source images top-left corners</param>
/// <param name="sizes">Source image sizes</param>
public void Prepare(Point[] corners, Size[] sizes)
{
using (VectorOfPoint vpCorners = new VectorOfPoint(corners))
using (VectorOfSize vsSizes = new VectorOfSize(sizes))
{
StitchingInvoke.cveBlenderPrepare(_blenderPtr, vpCorners, vsSizes);
}
}
/// <summary>
/// Creates an instance of the TextDetectorCNN class using the provided parameters.
/// </summary>
/// <param name="modelArchFilename">The relative or absolute path to the prototxt file describing the classifiers architecture.</param>
/// <param name="modelWeightsFilename">The relative or absolute path to the file containing the pretrained weights of the model in caffe-binary form.</param>
/// <param name="detectionSizes">A list of sizes for multi-scale detection. The values[(300,300),(700,500),(700,300),(700,700),(1600,1600)] are recommended to achieve the best quality.</param>
public TextDetectorCNN(String modelArchFilename, String modelWeightsFilename, Size[] detectionSizes = null)
{
using (CvString csModelArchFilename = new CvString(modelArchFilename))
using (CvString csModelWeightsFilename = new CvString(modelWeightsFilename))
{
if (detectionSizes == null)
{
_ptr = TextInvoke.cveTextDetectorCNNCreate(csModelArchFilename, csModelWeightsFilename,
ref _sharedPtr);
}
else
{
using (VectorOfSize vs = new VectorOfSize(detectionSizes))
_ptr = TextInvoke.cveTextDetectorCNNCreate2(csModelArchFilename, csModelWeightsFilename, vs,
ref _sharedPtr);
}
}
}
