C++ Filename::Basename方法代码示例

void IsisMain() {

  // Open the input cube
  UserInterface &ui = Application::GetUserInterface();
  Filename fname = ui.GetFilename("FROM");
  string name = fname.Basename();
  bool rmv = ui.GetBoolean("REMOVE");

  // Run a standard deviation filter on the cube
  string inFile = ui.GetFilename("FROM");
  string outFile = name + ".step1.cub";
  string parameters = "FROM=" + inFile + " TO=" + outFile 
    + " toldef=stddev flattol=10 line=9 samp=9 minimum=9 tolmin=4.0 tolmax=4.0"
    + " replace=null";
  Isis::iApp ->Exec("noisefilter",parameters);

  // Run a standard deviation filter on the cube 
  inFile = outFile;
  outFile = name + ".step2.cub";
  parameters = "FROM=" + inFile + " TO=" + outFile + 
    " toldef=stddev flattol=10 line=3 samp=3 minimum=3 tolmin=3.5 tolmax=3.5";
  Isis::iApp ->Exec("noisefilter",parameters);
  if (rmv) remove(inFile.c_str());

  // Run a standard deviation filter on the cube
  inFile = outFile;
  outFile = name + ".step3.cub";
  parameters = "FROM=" + inFile + " TO=" + outFile 
    + " toldef=stddev flattol=10 samp=9 line=9 minimum=9 tolmin=4.0 tolmax=4.0"
    + " replace=null";
  Isis::iApp ->Exec("noisefilter",parameters);
  if (rmv) remove(inFile.c_str());

  // Run a standard deviation filter on the cube
  inFile = outFile;
  outFile = name + ".step4.cub";
  parameters = "FROM=" + inFile + " TO=" + outFile + 
    " toldef=stddev samp=3 line=3 minimum=3 tolmin=3.5 tolmax=3.5";
  Isis::iApp ->Exec("noisefilter",parameters);
  if (rmv) remove(inFile.c_str());

  // Run a lowpass filter on the cube
  inFile = outFile;
  outFile = ui.GetFilename("TO");
  parameters = "FROM=" + inFile + " TO=" + outFile + 
    " filter=outside samp=3 line=3 minimum=5 replacement=null";
  Isis::iApp ->Exec("lowpass",parameters);
  if (rmv) remove(inFile.c_str());
}

void IsisMain() {

  //Get user parameters
  UserInterface &ui = Application::GetUserInterface();
  Filename inFile = ui.GetFilename("FROM");
  int numberOfLines = ui.GetInteger("NL");
  int lineOverlap   = ui.GetInteger("OVERLAP");

  //Throws exception if user is dumb
  if ( lineOverlap >= numberOfLines ) {
    throw iException::Message( iException::User, "The Line Overlap (OVERLAP) must be less than the Number of Lines (LN).", _FILEINFO_ );
  }

  //Opens the cube
  Cube cube;
  cube.Open( inFile.Expanded() );

  //Loops through, cropping as desired
  int cropNum = 1;
  int startLine = 1;
  bool hasReachedEndOfCube = false;
  while ( startLine <= cube.Lines()  &&  not hasReachedEndOfCube ) {
    //! Sets up the proper paramaters for running the crop program
    string parameters = "FROM=" + inFile.Expanded() +
        " TO=" + inFile.Path() + "/" + inFile.Basename() + ".segment" + iString(cropNum) + ".cub"
        + " LINE=" + iString(startLine) + " NLINES=";

    if ( startLine + numberOfLines > cube.Lines() ) {
      parameters += iString( cube.Lines() - ( startLine - 1 ) );
      hasReachedEndOfCube = true;
    }
    else {
      parameters += iString(numberOfLines);
    }
    Isis::iApp ->Exec("crop",parameters);
    //The starting line for next crop
    startLine = 1 + cropNum * ( numberOfLines - lineOverlap );
    cropNum++;
  }
}

//.........这里部分代码省略.........
    Pvl inStats (ui.GetFilename("INSTATS"));
    PvlObject &equalInfo = inStats.FindObject("EqualizationInformation");

    // Make sure each file in the instats matches a file in the fromlist
    if (imageList.size() > (unsigned)equalInfo.Groups()-1) {
      std::string msg = "Each input file in the FROM LIST must have a ";
      msg += "corresponding input file in the INPUT STATISTICS.";
      throw iException::Message(iException::User,msg,_FILEINFO_);
    }

    // Check that each file in the FROM LIST is present in the INPUT STATISTICS
    for (unsigned i = 0; i < imageList.size(); i++) {
      std::string fromFile = imageList[i];
      bool foundFile = false;
      for (int j = 1; j < equalInfo.Groups(); j++) {
	PvlGroup &normalization = equalInfo.Group(j);
	std::string normFile  = normalization["Filename"][0];
	if (fromFile == normFile) {

	  // Store the index in INPUT STATISTICS file corresponding to the
	  // current FROM LIST file
	  normIndices.push_back(j);
	  foundFile = true;
	}
      }
      if (!foundFile) {
	std::string msg = "The from list file [" + fromFile +
		 "] does not have any corresponding file in the stats list.";
	throw iException::Message(iException::User,msg,_FILEINFO_);
      }
    }
  }

  // Apply the correction to the images if the user wants this done
  if (processOpt != "CALCULATE") {
    iString maxCubeStr ((int)imageList.size());
    for (int img=0; img<(int)imageList.size(); img++) {
      // Set up for progress bar
      ProcessByLine p;
      iString curCubeStr (img+1);
      p.Progress()->SetText("Equalizing Cube " + curCubeStr + " of " + maxCubeStr);

      // Open input cube
      CubeAttributeInput att;
      const std::string inp = imageList[img];
      Cube *icube = p.SetInputCube(inp, att);

      // Establish the output file depending upon whether or not a to list
      // was entered
      std::string out;
      if (ui.WasEntered("TOLIST")) {
	out = outList[img];
      }
      else {
	Filename file = imageList[img];
	out = file.Path() + "/" + file.Basename() + ".equ." + file.Extension();
      }

      // Allocate output cube
      CubeAttributeOutput outAtt;
      p.SetOutputCube(out,outAtt,icube->Samples(),icube->Lines(),icube->Bands());

      // Apply gain/offset to the image
      g_imageIndex = img;
      if (processOpt == "APPLY") {

	// Apply correction based on pre-determined statistics information
	Pvl inStats (ui.GetFilename("INSTATS"));
	PvlObject &equalInfo = inStats.FindObject("EqualizationInformation");
	PvlGroup &normalization = equalInfo.Group(normIndices[g_imageIndex]);
	gains.clear();
	offsets.clear();
	avgs.clear();

	// Get and store the modifiers for each band
	for (int band = 1; band < normalization.Keywords(); band++) {
	  gains.push_back(normalization[band][0]);
	  offsets.push_back(normalization[band][1]);
	  avgs.push_back(normalization[band][2]);
	}
	p.StartProcess(ApplyViaFile); 
      }
      else {

	// Apply correction based on the statistics gathered in this run
	p.StartProcess(ApplyViaObject);
      }
      p.EndProcess();
    }
  }
  
  // Clean-up for batch list runs
  for (unsigned int o=0; o<g_oNormList.size(); o++) delete g_oNormList[o];
  g_oNormList.clear();
  g_overlapList.clear();
  normIndices.clear();
  gains.clear();
  offsets.clear();
  avgs.clear();
}

void IsisMain() {

  // Get the list of cubes to process
  FileList imageList;
  UserInterface &ui = Application::GetUserInterface();
  imageList.Read(ui.GetFilename("FROMLIST"));

  // Read to list if one was entered
  FileList outList;
  if (ui.WasEntered("TOLIST")) {
    outList.Read(ui.GetFilename("TOLIST"));
  }

  // Check for user input errors and return the file list sorted by CCD numbers
  ErrorCheck(imageList, outList);  

  // Adds statistics for whole and side regions of every cube
  for (int img=0; img<(int)imageList.size(); img++) {
    g_s.Reset();
    g_sl.Reset();
    g_sr.Reset();

    iString maxCube ((int)imageList.size());
    iString curCube (img+1);
    ProcessByLine p;
    p.Progress()->SetText("Gathering Statistics for Cube " + 
                          curCube + " of " + maxCube);
    CubeAttributeInput att;
    const std::string inp = imageList[img];
    p.SetInputCube(inp, att);
    p.StartProcess(GatherStatistics);
    p.EndProcess();

    g_allStats.push_back(g_s);
    g_leftStats.push_back(g_sl);
    g_rightStats.push_back(g_sr);
  }
  
  // Initialize the object that will calculate the gains and offsets
  g_oNorm = new OverlapNormalization(g_allStats);
  
  // Add the known overlaps between two cubes, and apply a weight to each
  // overlap equal the number of pixels in the overlapping area
  for (int i=0; i<(int)imageList.size()-1; i++) {
    int j = i+1;
    g_oNorm->AddOverlap(g_rightStats[i], i, g_leftStats[j], j, 
                           g_rightStats[i].ValidPixels());
  }

  // Read in and then set the holdlist
  FileList holdList;
  holdList.Read(ui.GetFilename("HOLD"));

  for (unsigned i=0; i<holdList.size(); i++) {
    int index = -1;
    for (unsigned j=0; j<imageList.size(); j++) {
      std::string curName = imageList.at(j);
      if (curName.compare(holdList[i]) == 0) {
        index = j;
        g_oNorm->AddHold(index);
      }
    }
  }

  // Attempt to solve the least squares equation
  g_oNorm->Solve(OverlapNormalization::Both);

  // Apply correction to the cubes if desired
  bool applyopt = ui.GetBoolean("APPLY");
  if (applyopt) {
    // Loop through correcting the gains and offsets by line for every cube
    for (int img=0; img<(int)imageList.size(); img++) {
      g_imageNum = img;
      ProcessByLine p;
      iString max_cube ((int)imageList.size());
      iString cur_cube (img+1);
      p.Progress()->SetText("Equalizing Cube " + cur_cube + " of " + max_cube);
      CubeAttributeInput att;
      const std::string inp = imageList[img];
      Cube *icube = p.SetInputCube(inp, att);
      Filename file = imageList[img];

      // Establish the output file depending upon whether or not a to list
      // was entered
      std::string out;
      if (ui.WasEntered("TOLIST")) {
	out = outList[img];
      }
      else {
	Filename file = imageList[img];
	out = file.Path() + "/" + file.Basename() + ".equ." + file.Extension();
      }

      CubeAttributeOutput outAtt;
      p.SetOutputCube(out,outAtt,icube->Samples(),icube->Lines(),icube->Bands());
      p.StartProcess(Apply);
      p.EndProcess();
    }    
  }

//.........这里部分代码省略.........