public static string Execute(string imagePath)
{
var img = Cv2.ImRead(imagePath);
List <string> result = new List <string>();
List <KeyValuePair <string, double> > featureScores = new List <KeyValuePair <string, double> >();
var features = IndexImages.GetFeatures();
OpenCvSharp.AKAZE kaze = OpenCvSharp.AKAZE.Create();
KeyPoint[] keyPoints;
Mat desc = new Mat();
kaze.DetectAndCompute(img, null, out keyPoints, desc);
foreach (var feature in features)
{
var train = new Mat(feature.Rows, feature.Cols, feature.ImgType, feature.ImgData);
var matches = GetMatches(desc, train);
var score = GetScore(matches);
if (score == double.MaxValue)
{
continue;
}
featureScores.Add(new KeyValuePair <string, double>(feature.Category, score));
}
return(featureScores.Count > 0 ? featureScores.OrderBy(x => (x.Value)).ToList()[0].Key : "Unknown");
}
private static ExtractedFeature ExtractFeatures(string image)
{
Mat img = Cv2.ImRead(image);
string category = Path.GetFileNameWithoutExtension(image).Split('.')[0];
OpenCvSharp.AKAZE kaze = OpenCvSharp.AKAZE.Create();
KeyPoint[] keyPoints;
Mat desc = new Mat();
kaze.DetectAndCompute(img, null, out keyPoints, desc);
ExtractedFeature result = new ExtractedFeature()
{
ImgData = desc.ToBytes(),
Cols = desc.Cols,
Rows = desc.Rows,
ImgType = desc.Type(),
Category = category
};
return(result);
}
