public static PCTFeature_Lab ReadingFeatureFromFile_Lab(String filePath)
{
PCTFeature_RGB pctFeature_RGB = ReadingFeatureFromFile_RGB(filePath);
if (pctFeature_RGB == null)
{
return(null);
}
PCTFeature_Lab pctFeature_Lab = pctFeature_RGB.ToPCTFeature_Lab();
return(pctFeature_Lab);
}
private static int CountColorsVW_Lab(PCTFeature_Lab pct, List <Lab> colorVisualWord)
{
//Dictionary<String, Color> map = new Dictionary<string, Color>();
List <Lab> listColorVWs = new List <Lab>();
foreach (var item in pct.ListColorPoint)
{
Lab color = colorVisualWord[DistanceHelper.ColorKNN_Lab(item.color, colorVisualWord)];
if (!listColorVWs.Contains(color))
{
listColorVWs.Add(color);
}
//if (!map.ContainsKey(key))
// map.Add(key, color);
}
//int totalColor = map.Count;
//return totalColor;
return(listColorVWs.Count);
}
public static void RunIndexing_Lab(string imageIndexStoragePath)
{
#region init
List <Lab> visualWordColor = ColorHelper.GenerateColorVisualWord_Lab(); // *
Dictionary <string, List <string> > visualWordMain = new Dictionary <string, List <string> >();
List <VisualWordCell_Lab> listKeys = VisualWordHelper.CreateListVWKeys_Lab(); // *
foreach (var item in listKeys)
{
// *
string key = item.Color.L + "_" + item.Color.A + "_" + item.Color.B + "_" + item.XIndex + "_" + item.YIndex;
visualWordMain.Add(key, new List <String>());
}
string indexFileNameExtension = GetIndexFileNameExtension();
#endregion
// for each folder
int count = 0;
string[] SubDirs = Directory.GetDirectories(ConfigCommon.PCT_OUTPUT_PATH);
foreach (String folderPath in SubDirs)
{
Console.WriteLine((++count) + ". " + folderPath);
FileInfo[] fileInfos = FileManager.GetInstance().GetAllFileInFolder(folderPath);
int sizeFiles = fileInfos.Length;
// for each X file (X = PCTConfig.PCT_STEP_INDEX_FILE)
for (int i = 0; i < sizeFiles; i += ConfigPCT.PCT_STEP_INDEX_FILE)
{
// read data PCT from file
PCTFeature_Lab dataPCT = PCTReadingFeature.ReadingFeatureFromFile_Lab(fileInfos[i].FullName); // *
// if number of color visual-word > Y, skip (Y = PCTConfig.COLOR_NOISE_THRESHOLD)
int numberColor = CountColorsVW_Lab(dataPCT, visualWordColor);
if (numberColor > ConfigPCT.COLOR_NOISE_THRESHOLD)
{
continue;
}
foreach (Dot_Lab colorPoint in dataPCT.ListColorPoint)
{
// if radius >= Z, index it (Z = PCTConfig.RADIUS_THRESHOLD)
if (colorPoint.radius >= ConfigPCT.RADIUS_THRESHOLD)
{
List <RegionOfFrame> listRegionDotBelongTo = Utils.RegionOfFrameHelper.GetListRegionDotBelongTo(colorPoint.location, colorPoint.radius, dataPCT.Width, dataPCT.Height);
Lab color = visualWordColor[DistanceHelper.ColorKNN_Lab(colorPoint.color, visualWordColor)];
foreach (RegionOfFrame region in listRegionDotBelongTo)
{
//Key_PCTIndexDicLab key = new Key_PCTIndexDicLab(color.L, color.A, color.B, region.X + "_" + region.Y);
string key = color.L + "_" + color.A + "_" + color.B + "_" + region.X + "_" + region.Y;
visualWordMain[key].Add(dataPCT.FrameName);
//if (!visualWordMain[key].Contains(dataPCT.FrameName)) // slow
// visualWordMain[key].Add(dataPCT.FrameName);
}
}
}
}
}
foreach (var item in listKeys)
{
string key = item.Color.L + "_" + item.Color.A + "_" + item.Color.B + "_" + item.XIndex + "_" + item.YIndex;
Console.WriteLine("Distincting value of key " + key + " ...");
visualWordMain[key] = visualWordMain[key].Distinct().ToList();
}
// save the indexing to a file
//String json = JsonConvert.SerializeObject(visualWordMain);
//FileManager.GetInstance().WriteFile(json, Path.Combine(imageIndexStoragePath, "index.json"));
string fileSavePath = Path.Combine(imageIndexStoragePath, indexFileNameExtension);
if (File.Exists(fileSavePath))
{
File.Delete(fileSavePath);
}
//FileManager.GetInstance().WriteDicIndexingToJsonFile(visualWordMain, fileSavePath);
FileManager.GetInstance().WriteDicIndexingToFiles(visualWordMain, fileSavePath);
}
