/// <summary>
/// Reads a line set from the provided CSV text file.
/// </summary>
/// <param name="fileName">The name of the file to read.</param>
/// <param name="sFactor">The </param>
/// <param name="imageScaling"></param>
/// <returns>Returns a Dictionary with all lines contained in the provided file, indexed by name.</returns>
/// <remarks>
/// The file provided to this function is expected to contain the following values in order, separated by the tab character:
/// <list type="bullet">
/// <item><description>The name of the line. (a string)</description></item>
/// <item><description>The number of lines in the file. (an integer)</description></item>
/// <item><description>The x coordinate of the first point of the line within the video frame. (an integer)</description></item>
/// <item><description>The y coordinate of the first point of the line within the video frame. (an integer)</description></item>
/// <item><description>The x coordinate of the second point of the line within the video frame. (an integer)</description></item>
/// <item><description>The y coordinate of the second point of the line within the video frame. (an integer)</description></item>
/// <item><description>The overlap fraction threshold.</description></item>
/// </list>
/// </remarks>
public static Dictionary <string, ILineBasedDetector> readLineSet_LineDetector_FromTxtFile(string fileName, int sFactor, double imageScaling)
{
Dictionary <string, ILineBasedDetector> ret = new Dictionary <string, ILineBasedDetector>();
try
{
StreamReader r = new StreamReader(fileName);
do
{
string line = r.ReadLine();
if (line == null)
{
break;
}
string[] fields = line.Split('\t');
string directionName = fields[0];
int noLines = Convert.ToInt32(fields[1]);
List <ISingleLineCrossingDetector> lineDetectors = new List <ISingleLineCrossingDetector>();
for (int i = 0; i < noLines; i++)
{
int x1 = (int)(Convert.ToInt32(fields[2 + 0 * 5]) * imageScaling);
int y1 = (int)(Convert.ToInt32(fields[3 + 0 * 5]) * imageScaling);
int x2 = (int)(Convert.ToInt32(fields[4 + 0 * 5]) * imageScaling);
int y2 = (int)(Convert.ToInt32(fields[5 + 0 * 5]) * imageScaling);
double threshold = Convert.ToDouble(fields[6 + 0 * 5]);
SingleLineCrossingDetector lineDetector = new SingleLineCrossingDetector(x1, y1, x2, y2, threshold, sFactor);
lineDetectors.Add(lineDetector);
}
List <int> minLags = new List <int>();
for (int i = 0; i < noLines - 1; i++)
{
int lag = Convert.ToInt32(fields[noLines * 5 + 2 + i]);
minLags.Add(lag);
}
List <int> maxLags = new List <int>();
for (int i = 0; i < noLines - 1; i++)
{
int lag = Convert.ToInt32(fields[noLines * 6 + 1 + i]);
maxLags.Add(lag);
}
CascadedLinesDetector counter = new CascadedLinesDetector(lineDetectors, minLags, maxLags);
ret.Add(directionName, counter);
} while (true);
r.Close();
}
catch (IOException e)
{
Console.WriteLine(e.ToString());
return(null);
}
return(ret);
}
public static Dictionary <string, ILineBasedDetector> readLineSet_LineDetector_FromTxtFile(string fileName, int sFactor, double imageScaling)
{
Dictionary <string, ILineBasedDetector> ret = new Dictionary <string, ILineBasedDetector>();
try
{
StreamReader r = new StreamReader(fileName);
do
{
string line = r.ReadLine();
if (line == null)
{
break;
}
string[] fields = line.Split('\t');
string directionName = fields[0];
//noLines has to be 1 in Line Detector
int x1 = (int)(Convert.ToInt32(fields[2 + 0 * 5]) * imageScaling);
int y1 = (int)(Convert.ToInt32(fields[3 + 0 * 5]) * imageScaling);
int x2 = (int)(Convert.ToInt32(fields[4 + 0 * 5]) * imageScaling);
int y2 = (int)(Convert.ToInt32(fields[5 + 0 * 5]) * imageScaling);
double threshold = Convert.ToDouble(fields[6 + 0 * 5]);
SingleLineCrossingDetector lineDetector = new SingleLineCrossingDetector(x1, y1, x2, y2, threshold, sFactor);
ret.Add(directionName, lineDetector);
} while (true);
r.Close();
}
catch (IOException e)
{
Console.WriteLine(e.ToString());
return(null);
}
return(ret);
}
