public static void test()
{
// test
string dir=@"..\..\data\";
string fn = "US_U_12245_1_67_crop.png";
string fnp = "US_U_12245_1_67_crop_p.png";
string fnn = "US_U_12245_1_67_crop_n.png";
Bitmap srcimg = new Bitmap(dir + fn);
Bitmap imgfnp = new Bitmap(dir + fnp);
Bitmap imgfnn = new Bitmap(dir + fnn);
List<Bitmap> imgfnp_list = new List<Bitmap>();
imgfnp_list.Add(imgfnp);
List<Bitmap> imgfnn_list = new List<Bitmap>();
imgfnn_list.Add(imgfnn);
TextLayerExtractionTrainer tet = new TextLayerExtractionTrainer();
Log.SetStartTime();
List<Bitmap> result_list = new List<Bitmap>();
for(int i=0;i<1;i++)
result_list=tet.GUIProcessOneLayerOnly(srcimg, imgfnp_list, imgfnn_list, 4);
Console.WriteLine(Log.GetDurationInSeconds());
result_list[0].Save(dir + "rr.png");
}
public void test(string resultFileDir)
{
const string DirSource = "#SourceImagePath:";
const string Positive = "#PositiveLabel";
const string Negative = "#NegativeLabel";
const string X = "X=";
const string Y = "Y=";
const string Width = "Width=";
const string Height = "Height=";
Boolean positiveLb, negativeLb, feature = false;
int x, y, width, height;
StreamReader sr = new StreamReader(resultFileDir);
string sourceImageDir = "";
string temp = "";
List<Bitmap> imgfnp_list = new List<Bitmap>();
List<Bitmap> imgfnn_list = new List<Bitmap>();
//////////////////get SourceImageDir///////////////
temp = sr.ReadLine();
sourceImageDir = temp.Substring(DirSource.Length, temp.Length);
temp = sr.ReadLine();
while (temp != null)
{
positiveLb = temp.Contains(Positive);
negativeLb = temp.Contains(Negative);
temp = sr.ReadLine();
if (positiveLb || negativeLb || feature)
{
temp = sr.ReadLine();
x = int.Parse(temp.Substring(X.Length, temp.Length));
temp = sr.ReadLine();
y = int.Parse(temp.Substring(Y.Length, temp.Length));
temp = sr.ReadLine();
width = int.Parse(temp.Substring(Width.Length, temp.Length));
temp = sr.ReadLine();
height = int.Parse(temp.Substring(Height.Length, temp.Length));
Rectangle rec = new Rectangle(x, y, width, height);
Image<Bgr, Byte> srcImage = new Image<Bgr, byte>(sourceImageDir);
Bitmap img = srcImage.GetSubRect(rec).Bitmap;
if (positiveLb)
imgfnp_list.Add(img);
else
imgfnn_list.Add(img);
temp = sr.ReadLine();
positiveLb = temp.Contains(Positive);
negativeLb = temp.Contains(Negative);
feature = temp.Contains("Feature");
}
}
string dir = @"..\..\data\";
//string fn = "US_U_12245_1_67_crop.png";
//string fnp = "US_U_12245_1_67_crop_p.png";
//string fnn = "US_U_12245_1_67_crop_n.png";
Bitmap srcimg = new Bitmap(sourceImageDir);
//Bitmap imgfnp = new Bitmap(dir + fnp);
//Bitmap imgfnn = new Bitmap(dir + fnn);
//List<Bitmap> imgfnp_list = new List<Bitmap>();
//imgfnp_list.Add(imgfnp);
//List<Bitmap> imgfnn_list = new List<Bitmap>();
//imgfnn_list.Add(imgfnn);
TextLayerExtractionTrainer tet = new TextLayerExtractionTrainer();
Log.SetStartTime();
List<Bitmap> result_list = new List<Bitmap>();
for (int i = 0; i < 1; i++)
result_list = tet.GUIProcessOneLayerOnly(srcimg, imgfnp_list, imgfnn_list, 4);
Console.WriteLine(Log.GetDurationInSeconds());
result_list[0].Save(dir + "rr.png");
}
/// <summary>
////////TextExtraction and TextIdentifier Methods
//</summary>
//<param name="sourceImageDir"></param>
public void textLayerExtract(string sourceImageDir, string resultImageDir)
{
try
{
if (sourceImageDir == "")
return;
List<Bitmap> imgfnp_list = new List<Bitmap>();
List<Bitmap> imgfnn_list = new List<Bitmap>();
Image<Bgr, Byte> srcImage = new Image<Bgr, byte>(sourceImageDir);
Bitmap srcimg = new Bitmap(sourceImageDir);
//sourceImageDir = CreateDirectory(sourceImageDir, "Data");
////////////////////Geo Spatial PRoject Sima//////////////////////
fillImageList(resultImageDir + "\\" + ArcStrabo10Extension.TextPositiveLabelLayerJSONFileName, imgfnp_list, srcImage);
fillImageList(resultImageDir + "\\" + ArcStrabo10Extension.TextNegtiveLabelLayerJSONFileName, imgfnn_list, srcImage);
TextLayerExtractionTrainer tet = new TextLayerExtractionTrainer();
Log.SetStartTime();
List<Bitmap> result_list = new List<Bitmap>();
for (int i = 0; i < 1; i++)
result_list = tet.GUIProcessOneLayerOnly(srcimg, imgfnp_list, imgfnn_list, 4);
Console.WriteLine(Log.GetDurationInSeconds());
// Create a unique file name for each Result TextLayer by appending numbers until unique filename created
try
{
int unique_number = 0;
while (File.Exists(ArcStrabo10Extension.Text_Result_Path + "\\" + ArcStrabo10Extension.TextLayerPNGFileName))
{
unique_number += 1;
if (File.Exists(ArcStrabo10Extension.Text_Result_Path + "\\" + ArcStrabo10Extension.TextLayerPNGFileName))
{
ArcStrabo10Extension.TextLayerPNGFileName = "TextLayer(" + unique_number.ToString() + ").png";
}
}
}
catch (Exception e)
{
Log.WriteLine(ArcStrabo10Extension.ErrorMsgNameTextLayer);
Log.WriteLine(e.Message);
Log.WriteLine(e.ToString());
}
result_list[0].Save(resultImageDir + "\\" + ArcStrabo10Extension.TextLayerPNGFileName);
}
catch (Exception e)
{
Log.WriteLine("textLayerExtract: " + e.Message);
}
}