int run ( int argc, char** argv)
{
int i;
double argumentExists;
double doubleArg;
// start clock for performance timings
clock_t t1 = clock ();
int optind=1;
// process command-line options
i = 1;
while (i < (argc - 2))// || (prob && (i < (argc - 1)) && phase2))
{
// Debug-only
cout << "argv[" << i << "] = " << argv[i] << endl;
if (strcmp(argv[i], "-mdl") == 0)
{
i++;
phase = 4;
argumentExists = sscanf(argv[i], "%lf", &doubleArg);
if ((argumentExists != 1) || (doubleArg <= (double) 0.0) ||
(doubleArg >= (double) 1.0))
{
fprintf(stderr, "%s: GBAD-MDL threshold must be greater than 0.0 and less than 1.0\n", argv[0]);
return 1;
}
else
cout << "GBAD-MDL option chosen." << endl;
matchThreshold = doubleArg;
i++;
optind = optind + 2;
mdlOption = true;
// Debug-only
cout << " matchThreshold (MDL) = " << matchThreshold << endl;
}
else if (strcmp(argv[i], "-mps") == 0)
{
i++;
phase = 4;
argumentExists = sscanf(argv[i], "%lf", &doubleArg);
if ((argumentExists != 1) || (doubleArg <= (double) 0.0) ||
(doubleArg >= (double) 1.0))
{
fprintf(stderr, "%s: GBAD-MPS threshold must be greater than 0.0 and less than 1.0\n", argv[0]);
return 1;
}
else
cout << "GBAD-MPS option chosen." << endl;
matchThreshold = doubleArg;
i++;
optind = optind + 2;
mpsOption = true;
// Debug-only
cout << " matchThreshold (MPS) = " << matchThreshold << endl;
}
else if (strcmp(argv[i], "-prob") == 0)
{
i++;
phase = 4;
cout << "GBAD-P option chosen." << endl;
optind = optind + 1;
probOption = true;
}
else
{
i++;
}
}
if (strcmp(argv[optind], "-mst") == 0)
{
optind = optind + 1;
minfreq = atoi ( argv[optind] );
if(minfreq <= 0)
{
cerr << "ERROR: invalid mst value (" << minfreq << "), mst must be greater than 0" << endl;
return 1;
}
// Debug-only
cout << "minfreq = " << minfreq << endl;
}
// open input file (graph) for reading
cerr << "Read" << endl;
// Debug-only
cout << "input graph file: " << argv[optind+1] << endl;
FILE *input = fopen ( argv[optind+1], "r" );
// If unable to open input file, need to give an error message and abort
if (input == NULL)
{
fprintf(stderr, "ERROR: Unable to open specified input file: %s\n", argv[optind+1]);
return 1;
}
if ( argc - optind == 3 && argc > 4)
{
dooutput = true;
// Debug-only
cout << "instances file: " << argv[optind+2] << endl;
output = fopen ( argv[optind+2], "w" );
}
else
{
cout << "No instances file specified" << endl;
}
database.read ( input );
rewind(input);
Database testDatabase;
testDatabase.read(input);
fclose ( input );
cerr << "Edgecount" << endl;
database.edgecount ();
cerr << "Reorder" << endl;
database.reorder ();
initLegStatics ();
graphstate.init ();
if ((mdlOption) || (mpsOption) || (probOption))
cout << "Searching for anomalies..." << endl;
// If it is the "searching for anomalies" phase, and the GBAD-P option was
// chosen (-r), then no need to examine the graph again - just use
// the database tree and best_sub.inst info to find the most anomalous
// extra edge
if ((phase == 4) && (probOption))
{
gbad.gbadPROB();
}
// Else, use the FSM algorithm to find the normative pattern...
else
{
for ( unsigned int i = 0; i < database.nodelabels.size (); i++ )
{
if (((database.nodelabels[i].frequency >= minfreq) &&
(database.nodelabels[i].frequentedgelabels.size())) ||
((database.nodelabels[i].frequency < minfreq) &&
(database.nodelabels[i].frequency > 0) &&
(phase == 4) && (mdlOption)))
{
Path path ( i );
// Debug-only
cout << " Processing path(" << i << "): " << path << "..." << endl;
path.expand ();
}
}
}
//
// If this is an anomaly detection phase, print out the best anomalous
// value (if there is one).
//
if (phase == 4)
{
if ((bestAnomValue <= 1.0) && (bestAnomValue > 0.000000))
cout << "Anomalous Value: " << fixed << bestAnomValue << endl;
else
cout << "Anomalous Value: None" << endl;
}
clock_t t2 = clock ();
statistics.print ();
cout << "Approximate total runtime: " << ( (float) t2 - t1 ) / CLOCKS_PER_SEC << "s" << endl;
if (dooutput)
fclose ( output );
if(dot_file_name != NULL)
{
string dotFile(dot_file_name);
testDatabase.toDot(dotFile, gbad.anomNodes, gbad.anomEdges, gbad.normNodes, gbad.normEdges);
}
return 0;
}
void IsisMain() {
//get the number of samples to skip from the left and right ends
// of the prefix and suffix data
UserInterface &ui = Application::GetUserInterface();
int imageLeft = 0;
int imageRight = 0;
int rampLeft = 0;
int rampRight = 0;
int calLeftBuffer = 0;
int calRightBuffer = 0;
int calLeftDark = 0;
int calRightDark = 0;
int leftBuffer = 0;
int rightBuffer = 0;
int leftDark = 0;
int rightDark = 0;
if(ui.GetBoolean("USEOFFSETS")) {
imageLeft = ui.GetInteger("LEFTIMAGE");
imageRight = ui.GetInteger("RIGHTIMAGE");
rampLeft = ui.GetInteger("LEFTIMAGE");
rampRight = ui.GetInteger("RIGHTIMAGE");
calLeftBuffer = ui.GetInteger("LEFTCALBUFFER");
calRightBuffer = ui.GetInteger("LEFTCALBUFFER");
calLeftDark = ui.GetInteger("LEFTCALDARK");
calRightDark = ui.GetInteger("RIGHTCALDARK");
leftBuffer = ui.GetInteger("LEFTBUFFER");
rightBuffer = ui.GetInteger("RIGHTBUFFER");
leftDark = ui.GetInteger("LEFTDARK");
rightDark = ui.GetInteger("RIGHTDARK");
}
Isis::FileName fromFile = ui.GetFileName("FROM");
Isis::Cube inputCube;
inputCube.open(fromFile.expanded());
//Check to make sure we got the cube properly
if(!inputCube.isOpen()) {
QString msg = "Could not open FROM cube " + fromFile.expanded();
throw IException(IException::User, msg, _FILEINFO_);
}
Process p;
Cube *icube = p.SetInputCube("FROM");
// Get statistics from the cube prefix and suffix data
Table hifix("HiRISE Ancillary");
icube->read(hifix);
Statistics darkStats, bufStats, rampDarkStats;
int tdi = icube->group("Instrument")["Tdi"];
int binning_mode = icube->group("Instrument")["Summing"];
//This gets us the statistics for the dark and buffer pixels
// alongside of the image itself
for(int rec = 2; rec < hifix.Records(); rec++) {
vector<int> dark = hifix[rec]["DarkPixels"];
vector<int> buf = hifix[rec]["BufferPixels"];
if(buf.size() <= (unsigned int)(leftBuffer + rightBuffer)) {
ThrowException(buf.size(), leftBuffer, rightBuffer, "image buffer");
}
if(dark.size() <= (unsigned int)(leftDark + rightDark)) {
ThrowException(dark.size(), leftDark, rightDark, "image dark reference");
}
for(int i = leftDark; i < (int)dark.size() - rightDark; i++) {
double d;
if(dark[i] == NULL2) d = NULL8;
else if(dark[i] == LOW_REPR_SAT2) d = LOW_REPR_SAT8;
else if(dark[i] == LOW_INSTR_SAT2) d = LOW_INSTR_SAT8;
else if(dark[i] == HIGH_INSTR_SAT2) d = HIGH_INSTR_SAT8;
else if(dark[i] == HIGH_REPR_SAT2) d = HIGH_REPR_SAT8;
else d = dark[i];
darkStats.AddData(&d, 1);
}
for(int i = leftBuffer; i < (int)buf.size() - rightBuffer; i++) {
double d;
if(buf[i] == NULL2) d = NULL8;
else if(buf[i] == LOW_REPR_SAT2) d = LOW_REPR_SAT8;
else if(buf[i] == LOW_INSTR_SAT2) d = LOW_INSTR_SAT8;
else if(buf[i] == HIGH_INSTR_SAT2) d = HIGH_INSTR_SAT8;
else if(buf[i] == HIGH_REPR_SAT2) d = HIGH_REPR_SAT8;
else d = buf[i];
bufStats.AddData(&d, 1);
}
}
// Get statistics from the calibration image
//Calculate boundaries of the reverse readout lines,
// Masked lines, and ramp lines.
//There are always 20 reverse readout lines
int reverseReadoutLines = 20;
//Number of mask pixels depends on Binning mode
int maskLines;
maskLines = 20 / binning_mode;
//mask lines go after reverse lines
maskLines += reverseReadoutLines;
// Actual starting line, number Ramp lines
int rampStart = maskLines;
int rampLines = tdi / binning_mode;
Table calimg("HiRISE Calibration Image");
icube->read(calimg);
Statistics calStats;
//Statistics for the Reverse readout lines of the cal image
Statistics reverseStats;
//Statistics for the masked lines of the cal image
Statistics maskStats;
//Statistics for the ramped lines of the cal image
Statistics rampStats;
//Iterate through the calibration image
//Add in reverse data
for(int rec = 2 ; rec <= 18 ; rec++) { //Lines [2,18]
vector<int> lineBuffer = calimg[rec]["Calibration"];
for(unsigned int i = 2 ; i < lineBuffer.size() - 1 ; i++) { //Samples [2, * -1]
double d = lineBuffer[i];
if(lineBuffer[i] == NULL2) {
d = NULL8;
}
else if(lineBuffer[i] == LOW_REPR_SAT2) {
d = LOW_REPR_SAT8;
}
else if(lineBuffer[i] == LOW_INSTR_SAT2) {
d = LOW_INSTR_SAT8;
}
else if(lineBuffer[i] == HIGH_INSTR_SAT2) {
d = HIGH_INSTR_SAT8;
}
else if(lineBuffer[i] == HIGH_REPR_SAT2) {
d = HIGH_REPR_SAT8;
}
reverseStats.AddData(&d, 1);
}
}
//Add in the mask data
for(int rec = 22 ; rec < maskLines - 1 ; rec++) {//Lines [22, 38] !!!!dependant on bin
vector<int> lineBuffer = calimg[rec]["Calibration"];
for(int i = 2 ; i < (int)lineBuffer.size() - 1 ; i++) { //Samples [2, *-1]
double d = lineBuffer[i];
if(d == NULL2) {
d = NULL8;
}
else if(d == LOW_REPR_SAT2) {
d = LOW_REPR_SAT8;
}
else if(d == LOW_INSTR_SAT2) {
d = LOW_INSTR_SAT8;
}
else if(d == HIGH_INSTR_SAT2) {
d = HIGH_INSTR_SAT8;
}
else if(d == HIGH_REPR_SAT2) {
d = HIGH_REPR_SAT8;
}
maskStats.AddData(&d, 1);
}
}
//Add in the ramp data
for(int rec = maskLines + 2; rec < calimg.Records() - 1; rec++) {
vector<int> buf = calimg[rec]["Calibration"];
//loop through all but the first and last sample of the calibration image
for(int i = rampLeft; i < (int)buf.size() - rampRight; i++) {
double d;
if(buf[i] == NULL2) d = NULL8;
else if(buf[i] == LOW_REPR_SAT2) d = LOW_REPR_SAT8;
else if(buf[i] == LOW_INSTR_SAT2) d = LOW_INSTR_SAT8;
else if(buf[i] == HIGH_INSTR_SAT2) d = HIGH_INSTR_SAT8;
else if(buf[i] == HIGH_REPR_SAT2) d = HIGH_REPR_SAT8;
else d = buf[i];
//Determine which group of stats to add to
rampStats.AddData(&d, 1);
}
}
// Get statistics from the calibration prefix and suffix data
Table calfix("HiRISE Calibration Ancillary");
icube->read(calfix);
Statistics calDarkStats, calBufStats;
int rampLine0 = rampStart + 1;
int rampLineN = (rampStart + rampLines - 1) - 1;
rampLineN = calfix.Records() - 1;
for(int rec = 0; rec < calfix.Records(); rec++) {
vector<int> dark = calfix[rec]["DarkPixels"];
vector<int> buf = calfix[rec]["BufferPixels"];
if(buf.size() <= (unsigned int)(calLeftBuffer + calRightBuffer)) {
ThrowException(buf.size(), calLeftBuffer, calRightBuffer, "calibration buffer");
}
if(dark.size() <= (unsigned int)(calLeftDark + calRightDark)) {
ThrowException(dark.size(), calLeftDark, calRightDark, "calibration dark reference");
}
for(int i = calLeftDark; i < (int)dark.size() - calRightDark; i++) {
double d;
if(dark[i] == NULL2) d = NULL8;
else if(dark[i] == LOW_REPR_SAT2) d = LOW_REPR_SAT8;
else if(dark[i] == LOW_INSTR_SAT2) d = LOW_INSTR_SAT8;
else if(dark[i] == HIGH_INSTR_SAT2) d = HIGH_INSTR_SAT8;
else if(dark[i] == HIGH_REPR_SAT2) d = HIGH_REPR_SAT8;
else d = dark[i];
calDarkStats.AddData(&d, 1);
if((rec > rampLine0) && (rec < rampLineN)) {
rampDarkStats.AddData(&d, 1);
}
}
for(int i = calLeftBuffer; i < (int)buf.size() - calRightBuffer; i++) {
double d;
if(buf[i] == NULL2) d = NULL8;
else if(buf[i] == LOW_REPR_SAT2) d = LOW_REPR_SAT8;
else if(buf[i] == LOW_INSTR_SAT2) d = LOW_INSTR_SAT8;
else if(buf[i] == HIGH_INSTR_SAT2) d = HIGH_INSTR_SAT8;
else if(buf[i] == HIGH_REPR_SAT2) d = HIGH_REPR_SAT8;
else d = buf[i];
calBufStats.AddData(&d, 1);
}
}
Statistics linesPostrampStats;
Statistics imageStats;
Isis::LineManager imageBuffer(inputCube);
imageBuffer.begin();
Buffer out(imageBuffer.SampleDimension() - (imageLeft + imageRight),
imageBuffer.LineDimension(),
imageBuffer.BandDimension(),
imageBuffer.PixelType());
for(int postRampLine = 0 ; postRampLine < LINES_POSTRAMP ; postRampLine++) {
inputCube.read(imageBuffer);
for(int postRampSamp = 0 ; postRampSamp < out.SampleDimension() ; postRampSamp++) {
out[postRampSamp] = imageBuffer[postRampSamp + imageLeft];
}
linesPostrampStats.AddData(out.DoubleBuffer(), out.size());
imageBuffer++;
}
for(int imageLine = LINES_POSTRAMP; imageLine < inputCube.lineCount(); imageLine++) {
inputCube.read(imageBuffer);
for(int imageSample = 0 ; imageSample < out.SampleDimension(); imageSample++) {
out[imageSample] = imageBuffer[imageSample + imageLeft];
}
imageStats.AddData(out.DoubleBuffer(), out.size());
imageBuffer++;
}
// Generate the statistics in pvl form
const int NUM_GROUPS = 10;
PvlGroup groups[NUM_GROUPS];
groups[0] = PvlStats(linesPostrampStats, "IMAGE_POSTRAMP");
groups[1] = PvlStats(imageStats, "IMAGE");
groups[2] = PvlStats(darkStats, "IMAGE_DARK");
groups[3] = PvlStats(bufStats, "IMAGE_BUFFER");
groups[4] = PvlStats(reverseStats, "CAL_REVERSE");
groups[5] = PvlStats(maskStats, "CAL_MASK");
groups[6] = PvlStats(rampStats, "CAL_RAMP");
groups[7] = PvlStats(calDarkStats, "CAL_DARK");
groups[8] = PvlStats(rampDarkStats, "CAL_DARK_RAMP");
groups[9] = PvlStats(calBufStats, "CAL_BUFFER");
// Write the results to the output file if the user specified one
if(ui.WasEntered("TO")) {
Pvl temp;
for(int i = 0 ; i < NUM_GROUPS ; i++) {
temp.addGroup(groups[i]);
}
temp.write(ui.GetFileName("TO"));
}
else {
// Log the results
for(int i = 0 ; i < NUM_GROUPS ; i++) {
Application::Log(groups[i]);
}
}
}
void ViewEqualizer::Listener::notifyLoadData(Channel* channel,
const uint32_t frameNumber,
const Statistics& statistics,
const Viewport& /*region*/)
{
Load& load = _getLoad(frameNumber);
if (load == Load::NONE)
return;
LBASSERT(_taskIDs.find(channel) != _taskIDs.end());
const uint32_t taskID = _taskIDs[channel];
// gather relevant load data
int64_t startTime = std::numeric_limits<int64_t>::max();
int64_t endTime = 0;
bool loadSet = false;
int64_t transmitTime = 0;
for (size_t i = 0; i < statistics.size() && !loadSet; ++i)
{
const Statistic& data = statistics[i];
if (data.task != taskID) // data from another compound
continue;
switch (data.type)
{
case Statistic::CHANNEL_CLEAR:
case Statistic::CHANNEL_DRAW:
case Statistic::CHANNEL_READBACK:
startTime = LB_MIN(startTime, data.startTime);
endTime = LB_MAX(endTime, data.endTime);
break;
case Statistic::CHANNEL_ASYNC_READBACK:
case Statistic::CHANNEL_FRAME_TRANSMIT:
transmitTime += data.startTime - data.endTime;
break;
case Statistic::CHANNEL_FRAME_WAIT_SENDTOKEN:
transmitTime -= data.endTime - data.startTime;
break;
// assemble blocks on input frames, stop using subsequent data
case Statistic::CHANNEL_ASSEMBLE:
loadSet = true;
break;
default:
break;
}
}
if (startTime == std::numeric_limits<int64_t>::max())
return;
LBASSERTINFO(load.missing > 0, load << " for " << channel->getName() << " "
<< channel->getSerial());
const int64_t time = LB_MAX(endTime - startTime, transmitTime);
load.time += time;
--load.missing;
if (load.missing == 0)
{
const float rTime = float(load.time) / float(load.nResources);
load.time = int64_t(rTime * sqrtf(float(load.nResources)));
}
LBLOG(LOG_LB1) << "Task " << taskID << ", added time " << time << " to "
<< load << " from " << channel->getName() << " "
<< channel->getSerial() << std::endl;
}
void IsisMain() {
UserInterface &ui = Application::GetUserInterface();
FileName inFile = ui.GetFileName("FROM");
// Set the processing object
ProcessExportMiniRFLroPds cProcess;
// Setup the input cube
Cube *cInCube = cProcess.SetInputCube("FROM");
Pvl *cInLabel = cInCube->label();
// Get the output label file
FileName outFile(ui.GetFileName("TO", "lbl"));
QString outFileName(outFile.expanded());
cProcess.SetDetached(outFileName);
cProcess.SetExportType(ProcessExportPds::Fixed);
//Set the resolution to Kilometers
cProcess.SetPdsResolution(ProcessExportPds::Kilometer);
// 32bit
cProcess.SetOutputType(Isis::Real);
cProcess.SetOutputNull(Isis::NULL4);
cProcess.SetOutputLrs(Isis::LOW_REPR_SAT4);
cProcess.SetOutputLis(Isis::LOW_INSTR_SAT4);
cProcess.SetOutputHrs(Isis::HIGH_REPR_SAT4);
cProcess.SetOutputHis(Isis::HIGH_INSTR_SAT4);
cProcess.SetOutputRange(-DBL_MAX, DBL_MAX);
cProcess.SetOutputEndian(Isis::Msb);
// Turn off Keywords
cProcess.ForceScalingFactor(false);
cProcess.ForceSampleBitMask(false);
cProcess.ForceCoreNull(false);
cProcess.ForceCoreLrs(false);
cProcess.ForceCoreLis(false);
cProcess.ForceCoreHrs(false);
cProcess.ForceCoreHis(false);
// Standard label Translation
Pvl &pdsLabel = cProcess.StandardPdsLabel(ProcessExportPds::Image);
// bLevel => Level 2 = True, Level 3 = False
bool bLevel2 = cInCube->hasGroup("Instrument");
// Translate the keywords from the original EDR PDS label that go in
// this RDR PDS label for Level2 images only
if(bLevel2) {
OriginalLabel cOriginalBlob;
cInCube->read(cOriginalBlob);
Pvl cOrigLabel;
PvlObject cOrigLabelObj = cOriginalBlob.ReturnLabels();
cOrigLabelObj.setName("OriginalLabelObject");
cOrigLabel.addObject(cOrigLabelObj);
// Translates the ISIS labels along with the original EDR labels
cOrigLabel.addObject(*(cInCube->label()));
PvlTranslationManager cCubeLabel2(cOrigLabel, "$lro/translations/mrfExportOrigLabel.trn");
cCubeLabel2.Auto(pdsLabel);
if(cInLabel->findObject("IsisCube").findGroup("Instrument").hasKeyword("MissionName")) {
PvlKeyword &cKeyMissionName = cInLabel->findObject("IsisCube").findGroup("Instrument").findKeyword("MissionName");
int sFound = cKeyMissionName[0].indexOf("CHANDRAYAAN");
if(sFound != -1) {
cCubeLabel2 = PvlTranslationManager(cOrigLabel, "$lro/translations/mrfExportOrigLabelCH1.trn");
cCubeLabel2.Auto(pdsLabel);
}
else {
cCubeLabel2 = PvlTranslationManager(cOrigLabel, "$lro/translations/mrfExportOrigLabelLRO.trn");
cCubeLabel2.Auto(pdsLabel);
}
}
}
else { //Level3 - add Band_Name keyword
PvlGroup &cBandBinGrp = cInCube->group("BandBin");
PvlKeyword cKeyBandBin = PvlKeyword("BAND_NAME");
PvlKeyword cKeyInBandBin;
if(cBandBinGrp.hasKeyword("OriginalBand")) {
cKeyInBandBin = cBandBinGrp.findKeyword("OriginalBand");
}
else if(cBandBinGrp.hasKeyword("FilterName")) {
cKeyInBandBin = cBandBinGrp.findKeyword("FilterName");
}
for(int i = 0; i < cKeyInBandBin.size(); i++) {
cKeyBandBin += cKeyInBandBin[i];
}
PvlObject &cImageObject(pdsLabel.findObject("IMAGE"));
cImageObject += cKeyBandBin;
}
// Get the Sources Product ID if entered for Level2 only as per example
if(ui.WasEntered("SRC") && bLevel2) {
QString sSrcFile = ui.GetFileName("SRC");
QString sSrcType = ui.GetString("TYPE");
GetSourceProductID(sSrcFile, sSrcType, pdsLabel);
}
// Get the User defined Labels
if(ui.WasEntered("USERLBL")) {
QString sUserLbl = ui.GetFileName("USERLBL");
GetUserLabel(sUserLbl, pdsLabel, bLevel2);
}
// Calculate CheckSum
Statistics *cStats = cInCube->statistics();
iCheckSum = (unsigned int)cStats->Sum();
FixLabel(pdsLabel, bLevel2);
// Add an output format template to the PDS PVL
// Distinguish betweeen Level 2 and 3 images by calling the camera()
// function as only non mosaic images(Level2) have a camera
if(bLevel2) {
pdsLabel.setFormatTemplate("$lro/translations/mrfPdsLevel2.pft");
}
else {
pdsLabel.setFormatTemplate("$lro/translations/mrfPdsLevel3.pft");
}
int iFound = outFileName.indexOf(".lbl");
outFileName.replace(iFound, 4, ".img");
ofstream oCube(outFileName.toAscii().data());
cProcess.OutputDetachedLabel();
//cProcess.OutputLabel(oCube);
cProcess.StartProcess(oCube);
oCube.close();
cProcess.EndProcess();
}
bool SioImporter::ensureStatisticsReadProperly(Progress *pProgress, std::ostream& failure)
{
bool success = true;
success &= setBatch();
PlugInArgList* pInList = NULL;
PlugInArgList* pOutList = NULL;
isseas(getInputSpecification(pInList) != false, failure);
isseas(getOutputSpecification(pOutList) != false, failure);
PlugInArg* pRasterElementArg = NULL;
isseas(pInList->getArg(Importer::ImportElementArg(), pRasterElementArg) != false, failure);
string testFilePath = TestUtilities::getTestDataPath() + "tipjul5bands.sio";
RasterElement* pRasterElement = NULL;
if (success)
{
vector<ImportDescriptor*> descriptors = getImportDescriptors(testFilePath);
if (descriptors.empty() == false)
{
ImportDescriptor* pImportDescriptor = descriptors.front();
if (pImportDescriptor != NULL)
{
DataDescriptor* pDescriptor = pImportDescriptor->getDataDescriptor();
if (pDescriptor != NULL)
{
Service<ModelServices> pModel;
pRasterElement = dynamic_cast<RasterElement*>(pModel->createElement(pDescriptor));
if (pRasterElement != NULL)
{
pRasterElementArg->setActualValue(pRasterElement);
}
}
}
}
}
isseas(execute(pInList, pOutList) != false, failure);
isseas(pRasterElement != NULL, failure);
if (success)
{
RasterDataDescriptor* pDescriptor = dynamic_cast<RasterDataDescriptor*>(pRasterElement->getDataDescriptor());
isseas(pDescriptor != NULL, failure);
const vector<DimensionDescriptor>& loadedBands = pDescriptor->getBands();
isseas(loadedBands.size() == 5, failure);
int iNumBandsWithStats = 0;
for (int i = 0; i < 5; ++i)
{
// we don't want to do an assert yet... only when we know 4 bands have computed statistics
Statistics* pStatistics = pRasterElement->getStatistics(loadedBands[i]);
if (pStatistics != NULL)
{
if (pStatistics->areStatisticsCalculated() == true)
{
if (success)
{
iNumBandsWithStats++;
}
}
}
}
// success of the band computation is dependent on 4 bands with statistics
isseas(iNumBandsWithStats == 3, failure);
}
if (pRasterElement != NULL)
{
Service<ModelServices> pModel;
pModel->destroyElement(pRasterElement);
pRasterElement = NULL;
}
Service<PlugInManagerServices> pPim;
if (pInList)
{
pPim->destroyPlugInArgList(pInList);
}
if (pOutList)
{
pPim->destroyPlugInArgList(pOutList);
}
return success;
}
/**
* This is the main method. Makeflat runs in three steps:
*
* 1) Calculate statistics
* - For all cameras, this checks for one band and matching
* sample counts.
* - For framing cameras, this checks the standard deviation of
* the images and records the averages of each image
* - For push frame cameras, this calls CheckFramelets for each
* image.
*
* 2) Create the temporary file, collect more detailed statistics
* - For all cameras, this generates the temporary file and calculates
* the final exclusion list
* - For framing/push frame cameras, the temporary file is
* 2 bands, where the first is a sum of DNs from each image/framelet
* and the second band is a count of valid DNs that went into each sum
*
* 3) Create the final flat field file
* - For all cameras, this processes the temporary file to create the final flat
* field file.
*/
void IsisMain() {
// Initialize variables
ResetGlobals();
UserInterface &ui = Application::GetUserInterface();
maxStdev = ui.GetDouble("STDEVTOL");
if(ui.GetString("IMAGETYPE") == "FRAMING") {
cameraType = Framing;
// framing cameras need to figure this out automatically
// during step 1
numFrameLines = -1;
}
else if(ui.GetString("IMAGETYPE") == "LINESCAN") {
cameraType = LineScan;
numFrameLines = ui.GetInteger("NUMLINES");
}
else {
cameraType = PushFrame;
numFrameLines = ui.GetInteger("FRAMELETHEIGHT");
}
FileList inList(ui.GetFilename("FROMLIST"));
Progress progress;
tempFileLength = 0;
numOutputSamples = 0;
/**
* Line scan progress is based on the input list, whereas
* the other cameras take much longer and are based on the
* images themselves. Prepare the progress if we're doing
* line scan.
*/
if(cameraType == LineScan) {
progress.SetText("Calculating Number of Image Lines");
progress.SetMaximumSteps(inList.size());
progress.CheckStatus();
}
/**
* For a push frame camera, the temp file is one framelet.
* Technically this is the same for the framing, but we
* don't know the height of a framelet yet.
*/
if(cameraType == PushFrame) {
tempFileLength = numFrameLines;
}
/**
* Start pass 1, use global currImage so that methods called
* know the image we're processing.
*/
for(currImage = 0; currImage < inList.size(); currImage++) {
/**
* Read the current cube into memory
*/
Cube tmp;
tmp.Open(Filename(inList[currImage]).Expanded());
/**
* If we haven't determined how many samples the output
* should have, we can do so now
*/
if(numOutputSamples == 0 && tmp.Bands() == 1) {
numOutputSamples = tmp.Samples();
}
/**
* Try and validate the image, quick tests first!
*
* (imageValid &= means imageValid = imageValid && ...)
*/
bool imageValid = true;
// Only single band images are acceptable
imageValid &= (tmp.Bands() == 1);
// Sample sizes must always match
imageValid &= (numOutputSamples == tmp.Samples());
// For push frame cameras, there must be valid all framelets
if(cameraType == PushFrame) {
imageValid &= (tmp.Lines() % numFrameLines == 0);
}
// For framing cameras, we need to figure out the size...
// setTempFileLength is used to revert if the file
// is decided to be invalid
bool setTempFileLength = false;
if(cameraType == Framing) {
if(tempFileLength == 0 && imageValid) {
tempFileLength = tmp.Lines();
numFrameLines = tempFileLength;
setTempFileLength = true;
}
imageValid &= (tempFileLength == tmp.Lines());
}
// Statistics are necessary at this point for push frame and framing cameras
// because the framing camera standard deviation tolerance is based on
// entire images, and push frame framelet exclusion stats can not be collected
// during pass 2 cleanly
if((cameraType == Framing || cameraType == PushFrame) && imageValid) {
string prog = "Calculating Standard Deviation " + iString((int)currImage+1) + "/";
prog += iString((int)inList.size()) + " (" + Filename(inList[currImage]).Name() + ")";
if(cameraType == Framing) {
Statistics *stats = tmp.Statistics(1, prog);
imageValid &= !IsSpecial(stats->StandardDeviation());
imageValid &= !IsSpecial(stats->Average());
imageValid &= stats->StandardDeviation() <= maxStdev;
vector<double> fileStats;
fileStats.push_back(stats->Average());
inputFrameletAverages.push_back(fileStats);
delete stats;
}
else if(cameraType == PushFrame) {
imageValid &= CheckFramelets(prog, tmp);
}
if(setTempFileLength && !imageValid) {
tempFileLength = 0;
}
}
// The line scan camera needs to actually count the number of lines in each image to know
// how many total frames there are before beginning pass 2.
if(imageValid && (cameraType == LineScan)) {
int lines = (tmp.Lines() / numFrameLines);
// partial frame?
if(tmp.Lines() % numFrameLines != 0) {
lines ++;
}
tempFileLength += lines;
}
else if(!imageValid) {
excludedFiles.insert(pair<int, bool>(currImage, true));
}
tmp.Close();
if(cameraType == LineScan) {
progress.CheckStatus();
}
}
/**
* If the number of output samples could not be determined, we never
* found a legitimate cube.
*/
if(numOutputSamples <= 0) {
string msg = "No valid input cubes were found";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
/**
* If theres no temp file length, which is based off of valid data in
* the input cubes, then we havent found any valid data.
*/
if(tempFileLength <= 0) {
string msg = "No valid input data was found";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
/**
* ocube is now the temporary file (for pass 2).
*/
ocube = new Cube();
ocube->SetDimensions(numOutputSamples, tempFileLength, 2);
PvlGroup &prefs = Preference::Preferences().FindGroup("DataDirectory", Pvl::Traverse);
iString outTmpName = (string)prefs["Temporary"][0] + "/";
outTmpName += Filename(ui.GetFilename("TO")).Basename() + ".tmp.cub";
ocube->Create(outTmpName);
oLineMgr = new LineManager(*ocube);
oLineMgr->SetLine(1);
ProcessByBrick p;
int excludedCnt = 0;
if(cameraType == LineScan) {
outputTmpAverages.resize(numOutputSamples);
outputTmpCounts.resize(numOutputSamples);
numInputDns.resize(numOutputSamples);
}
cubeInitialized = false;
for(currImage = 0; currImage < inList.size(); currImage++) {
if(Excluded(currImage)) {
excludedCnt ++;
continue;
}
PvlObject currFile("Exclusions");
currFile += PvlKeyword("Filename", inList[currImage]);
currFile += PvlKeyword("Tolerance", maxStdev);
if(cameraType == LineScan) {
currFile += PvlKeyword("FrameLines", numFrameLines);
}
else if(cameraType == PushFrame) {
currFile += PvlKeyword("FrameletLines", numFrameLines);
}
excludedDetails.push_back(currFile);
CubeAttributeInput inAtt;
// This needs to be set constantly because ClearInputCubes
// seems to be removing the input brick size.
if(cameraType == LineScan) {
p.SetBrickSize(1, numFrameLines, 1);
}
else if(cameraType == Framing || cameraType == PushFrame) {
p.SetBrickSize(numOutputSamples, 1, 1);
}
p.SetInputCube(inList[currImage], inAtt);
iString progText = "Calculating Averages " + iString((int)currImage+1);
progText += "/" + iString((int)inList.size());
progText += " (" + Filename(inList[currImage]).Name() + ")";
p.Progress()->SetText(progText);
p.StartProcess(CreateTemporaryData);
p.EndProcess();
p.ClearInputCubes();
if(excludedDetails[excludedDetails.size()-1].Groups() == 0) {
excludedDetails.resize(excludedDetails.size()-1);
}
}
/**
* Pass 2 completed. The processing methods were responsible for writing
* the entire temporary cube.
*/
if(oLineMgr) {
delete oLineMgr;
oLineMgr = NULL;
}
if(ocube) {
ocube->Close();
delete ocube;
}
/**
* ocube is now the final output
*/
ocube = new Cube();
if(cameraType == LineScan) {
ocube->SetDimensions(numOutputSamples, 1, 1);
}
else if(cameraType == Framing || cameraType == PushFrame) {
ocube->SetDimensions(numOutputSamples, tempFileLength, 1);
}
ocube->Create(Filename(ui.GetFilename("TO")).Expanded());
oLineMgr = new LineManager(*ocube);
oLineMgr->SetLine(1);
// We now have the necessary temp file, let's go ahead and combine it into
// the final output!
p.SetInputBrickSize(numOutputSamples, 1, 2);
p.SetOutputBrickSize(numOutputSamples, 1, 1);
cubeInitialized = false;
CubeAttributeInput inAtt;
p.Progress()->SetText("Calculating Final Flat Field");
p.SetInputCube(outTmpName, inAtt);
p.StartProcess(ProcessTemporaryData);
p.EndProcess();
if(cameraType == LineScan) {
ocube->Write(*oLineMgr);
}
if(oLineMgr) {
delete oLineMgr;
oLineMgr = NULL;
}
if(ocube) {
ocube->Close();
delete ocube;
ocube = NULL;
}
/**
* Build a list of excluded files
*/
PvlGroup excludedFiles("ExcludedFiles");
for(currImage = 0; currImage < inList.size(); currImage++) {
if(Excluded(currImage)) {
excludedFiles += PvlKeyword("File", inList[currImage]);
}
}
// log the results
Application::Log(excludedFiles);
if(ui.WasEntered("EXCLUDE")) {
Pvl excludeFile;
// Find excluded files
excludeFile.AddGroup(excludedFiles);
for(unsigned int i = 0; i < excludedDetails.size(); i++) {
excludeFile.AddObject(excludedDetails[i]);
}
excludeFile.Write(Filename(ui.GetFilename("EXCLUDE")).Expanded());
}
remove(outTmpName.c_str());
// Clean up settings
ResetGlobals();
}
void IsisMain() {
UserInterface &ui = Application::GetUserInterface();
Cube cube;
cube.open(ui.GetFileName("FROM"));
// Check that it is a Mariner10 cube.
Pvl * labels = cube.label();
if ("Mariner_10" != (QString)labels->findKeyword("SpacecraftName", Pvl::Traverse)) {
QString msg = "The cube [" + ui.GetFileName("FROM") + "] does not appear" +
" to be a Mariner10 cube";
throw IException(IException::User, msg, _FILEINFO_);
}
// Check that the cube actually needs reconstruction
Chip cp(5, 5);
cp.TackCube(25, 25);
cp.Load(cube);
Statistics *stats = NULL;
stats = cp.Statistics();
// Maximum possible number of good pixels in a 5x5
if(stats->ValidPixels() > 8) {
QString msg = "The cube [" + ui.GetFileName("FROM") + "] does not need" +
" reconstruction, try mar10clean instead";
throw IException(IException::User, msg, _FILEINFO_);
}
if (stats != NULL) {
delete stats;
stats = NULL;
}
// Open the input cube
Pipeline p("mar10restore");
p.SetInputFile("FROM");
p.SetOutputFile("TO");
p.KeepTemporaryFiles(!ui.GetBoolean("REMOVE"));
// Run a standard deviation filter on the cube
p.AddToPipeline("noisefilter", "noise1");
p.Application("noise1").SetInputParameter("FROM", true);
p.Application("noise1").SetOutputParameter("TO", "noise1");
p.Application("noise1").AddConstParameter("TOLDEF", "stddev");
p.Application("noise1").AddConstParameter("FLATTOL", "10");
p.Application("noise1").AddConstParameter("SAMP", "5");
p.Application("noise1").AddConstParameter("LINE", "5");
p.Application("noise1").AddConstParameter("MINIMUM", "4");
p.Application("noise1").AddConstParameter("TOLMIN", "2.0");
p.Application("noise1").AddConstParameter("TOLMAX", "1.5");
p.Application("noise1").AddConstParameter("REPLACE", "null");
// run a standard deviation filter on the cube
p.AddToPipeline("noisefilter", "noise2");
p.Application("noise2").SetInputParameter("FROM", true);
p.Application("noise2").SetOutputParameter("TO", "noise2");
p.Application("noise2").AddConstParameter("TOLDEF", "stddev");
p.Application("noise2").AddConstParameter("FLATTOL", "10");
p.Application("noise2").AddConstParameter("SAMP", "11");
p.Application("noise2").AddConstParameter("LINE", "11");
p.Application("noise2").AddConstParameter("MINIMUM", "9");
p.Application("noise2").AddConstParameter("TOLMIN", "100");
p.Application("noise2").AddConstParameter("TOLMAX", "2.0");
p.Application("noise2").AddConstParameter("REPLACE", "null");
// Run a standard deviation filter on the cube
p.AddToPipeline("noisefilter", "noise3");
p.Application("noise3").SetInputParameter("FROM", true);
p.Application("noise3").SetOutputParameter("TO", "noise3");
p.Application("noise3").AddConstParameter("TOLDEF", "stddev");
p.Application("noise3").AddConstParameter("FLATTOL", "10");
p.Application("noise3").AddConstParameter("SAMP", "7");
p.Application("noise3").AddConstParameter("LINE", "7");
p.Application("noise3").AddConstParameter("MINIMUM", "4");
p.Application("noise3").AddConstParameter("TOLMIN", "100");
p.Application("noise3").AddConstParameter("TOLMAX", "1.5");
p.Application("noise3").AddConstParameter("REPLACE", "null");
// Run a low pass filter on the invalid data in the cube
p.AddToPipeline("lowpass", "lowpass1");
p.Application("lowpass1").SetInputParameter("FROM", true);
p.Application("lowpass1").SetOutputParameter("TO", "lp1");
p.Application("lowpass1").AddConstParameter("SAMP", "3");
p.Application("lowpass1").AddConstParameter("LINE", "3");
p.Application("lowpass1").AddConstParameter("MINIMUM", "2");
p.Application("lowpass1").AddConstParameter("FILTER", "outside");
p.Application("lowpass1").AddConstParameter("NULL", "true");
p.Application("lowpass1").AddConstParameter("LIS", "true");
p.Application("lowpass1").AddConstParameter("HIS", "true");
p.Application("lowpass1").AddConstParameter("LRS", "true");
// Run a low pass filter on the invalid data in the cube
p.AddToPipeline("lowpass", "lowpass2");
p.Application("lowpass2").SetInputParameter("FROM", true);
p.Application("lowpass2").SetOutputParameter("TO", "lp2");
p.Application("lowpass2").AddConstParameter("SAMP", "3");
p.Application("lowpass2").AddConstParameter("LINE", "3");
p.Application("lowpass2").AddConstParameter("MINIMUM", "2");
p.Application("lowpass2").AddConstParameter("FILTER", "outside");
p.Application("lowpass2").AddConstParameter("NULL", "true");
p.Application("lowpass2").AddConstParameter("LIS", "true");
p.Application("lowpass2").AddConstParameter("HIS", "true");
p.Application("lowpass2").AddConstParameter("LRS", "true");
// Run a low pass filter on the invalid data in the cube
p.AddToPipeline("lowpass", "lowpass3");
p.Application("lowpass3").SetInputParameter("FROM", true);
p.Application("lowpass3").SetOutputParameter("TO", "lp3");
p.Application("lowpass3").AddConstParameter("SAMP", "3");
p.Application("lowpass3").AddConstParameter("LINE", "3");
p.Application("lowpass3").AddConstParameter("MINIMUM", "2");
p.Application("lowpass3").AddConstParameter("FILTER", "outside");
p.Application("lowpass3").AddConstParameter("NULL", "true");
p.Application("lowpass3").AddConstParameter("LIS", "true");
p.Application("lowpass3").AddConstParameter("HIS", "true");
p.Application("lowpass3").AddConstParameter("LRS", "true");
p.AddToPipeline("trim");
p.Application("trim").SetInputParameter("FROM", true);
p.Application("trim").SetOutputParameter("TO", "trim");
p.Application("trim").AddConstParameter("LEFT", toString(15));
p.Application("trim").AddConstParameter("RIGHT", toString(5));
p.Application("trim").AddConstParameter("BOTTOM", toString(0));
p.Application("trim").AddConstParameter("TOP", toString(5));
p.Run();
}
QWidget* ResultsExporter::getExportOptionsWidget(const PlugInArgList *pInArgList)
{
const DataDescriptor* pDescriptor = NULL;
if (pInArgList != NULL)
{
RasterElement* pElement = pInArgList->getPlugInArgValue<RasterElement>(Exporter::ExportItemArg());
if (pElement != NULL)
{
pDescriptor = pElement->getDataDescriptor();
}
}
if (mpOptionsWidget == NULL)
{
Service<DesktopServices> pDesktop;
VERIFY(pDesktop.get() != NULL);
mpOptionsWidget = new ResultsOptionsWidget(pDesktop->getMainWidget());
}
if (mpOptionsWidget != NULL)
{
const string& name = pDescriptor->getName();
const string& type = pDescriptor->getType();
DataElement* pParent = pDescriptor->getParent();
RasterElement* pResults = dynamic_cast<RasterElement*>(mpModel->getElement(name, type, pParent));
if (pResults != NULL)
{
GeocoordType geocoordType;
PassArea passArea = MIDDLE;
double dFirstThreshold = 0.0;
double dSecondThreshold = 0.0;
SpatialDataWindow* pWindow = dynamic_cast<SpatialDataWindow*>(mpDesktop->getCurrentWorkspaceWindow());
if (pWindow != NULL)
{
SpatialDataView* pView = pWindow->getSpatialDataView();
if (pView != NULL)
{
LayerList* pLayerList = pView->getLayerList();
if (pLayerList != NULL)
{
ThresholdLayer* pThresholdLayer =
static_cast<ThresholdLayer*>(pLayerList->getLayer(THRESHOLD, pResults));
if (pThresholdLayer != NULL)
{
passArea = pThresholdLayer->getPassArea();
dFirstThreshold = pThresholdLayer->getFirstThreshold();
dSecondThreshold = pThresholdLayer->getSecondThreshold();
}
else
{
Statistics* pStatistics = pResults->getStatistics();
if (pStatistics != NULL)
{
dFirstThreshold = pStatistics->getMin();
dSecondThreshold = pStatistics->getMax();
}
}
}
LatLonLayer* pLatLonLayer = static_cast<LatLonLayer*>(pView->getTopMostLayer(LAT_LONG));
if (pLatLonLayer != NULL)
{
geocoordType = pLatLonLayer->getGeocoordType();
}
}
if (geocoordType.isValid() == false)
{
bool hasGeoData = pResults->isGeoreferenced();
if (hasGeoData == false)
{
RasterElement* pParent = dynamic_cast<RasterElement*>(mpResults->getParent());
if (pParent != NULL)
{
hasGeoData = pParent->isGeoreferenced();
}
}
if (hasGeoData == true)
{
geocoordType = Georeference::getSettingGeocoordType();
}
}
}
mpOptionsWidget->setGeocoordType(geocoordType);
mpOptionsWidget->setPassArea(passArea);
mpOptionsWidget->setFirstThreshold(dFirstThreshold);
mpOptionsWidget->setSecondThreshold(dSecondThreshold);
}
}
return mpOptionsWidget;
}
/**
* Retrieve the statistics based on the box size
* and point on the cube.
*
* @param p
*/
void StatisticsTool::getStatistics(QPoint p) {
MdiCubeViewport *cvp = cubeViewport();
if(cvp == NULL) return;
double sample, line;
cvp->viewportToCube(p.x(), p.y(), sample, line);
// If we are outside of the cube, do nothing
if((sample < 0.5) || (line < 0.5) ||
(sample > cvp->cubeSamples() + 0.5) || (line > cvp->cubeLines() + 0.5)) {
return;
}
int isamp = (int)(sample + 0.5);
int iline = (int)(line + 0.5);
Statistics stats;
Brick *brick = new Brick(1, 1, 1, cvp->cube()->pixelType());
QVector<QVector<double> > pixelData(p_boxLines, QVector<double>(p_boxSamps, Null));
double lineDiff = p_boxLines / 2.0;
double sampDiff = p_boxSamps / 2.0;
p_ulSamp = isamp - (int)floor(sampDiff);
p_ulLine = iline - (int)floor(lineDiff);
int x, y;
y = p_ulLine;
for(int i = 0; i < p_boxLines; i++) {
x = p_ulSamp;
if(y < 1 || y > cvp->cubeLines()) {
y++;
continue;
}
for(int j = 0; j < p_boxSamps; j++) {
if(x < 1 || x > cvp->cubeSamples()) {
x++;
continue;
}
brick->SetBasePosition(x, y, cvp->grayBand());
cvp->cube()->read(*brick);
stats.AddData(brick->at(0));
pixelData[i][j] = brick->at(0);
x++;
}
y++;
}
p_visualDisplay->setPixelData(pixelData, p_ulSamp, p_ulLine);
if (stats.ValidPixels()) {
p_minLabel->setText(QString("Minimum: %1").arg(stats.Minimum()));
p_maxLabel->setText(QString("Maximum: %1").arg(stats.Maximum()));
p_avgLabel->setText(QString("Average: %1").arg(stats.Average()));
p_stdevLabel->setText(QString("Standard Dev: %1").arg(stats.StandardDeviation(), 0, 'f', 6));
}
else {
p_minLabel->setText(QString("Minimum: n/a"));
p_maxLabel->setText(QString("Maximum: n/a"));
p_avgLabel->setText(QString("Average: n/a"));
p_stdevLabel->setText(QString("Standard Dev: n/a"));
}
p_set = true;
resizeScrollbars();
}
int
main (int argc, char *argv[])
{
//myTableLookUp.readTable(hXOR);
//myTableLookUp.readTable(hIFF);
//maxMemory=0;
if (argc != 11)
{
printf
("DSMGA ell nInitial selectionPressure pc pm maxGen maxFe repeat display rand_seed\n");
return -1;
}
int ell = atoi (argv[1]); // problem size
int nInitial = atoi (argv[2]); // initial population size
int selectionPressure = atoi (argv[3]); // selection pressure
double pc = atof (argv[4]); // pc
double pm = atof (argv[5]); // pm
int maxGen = atoi (argv[6]); // max generation
int maxFe = atoi (argv[7]); // max fe
int repeat = atoi (argv[8]); // how many time to repeat
int display = atoi (argv[9]); // display each generation or not
int rand_seed = atoi (argv[10]); // rand seed
if (rand_seed != -1) // time
myRand.seed((unsigned long)rand_seed);
int i;
Statistics stGen;
int usedGen;
int failNum = 0;
int maxMemoryUsage = 0;
for (i = 0; i < repeat; i++) {
DSMGA dsmga (ell, nInitial, selectionPressure, pc, pm, maxGen, maxFe);
if (display == 1)
usedGen = dsmga.doIt (true);
else
usedGen = dsmga.doIt (false);
if (!dsmga.foundOptima()) {
failNum++;
printf ("-");
}
else {
stGen.record (usedGen);
printf ("+");
}
maxMemoryUsage += maxMemory;
fflush (NULL);
}
cout << endl;
cout << "Max DSM memory usage:" << (double)maxMemoryUsage/(double)repeat << " bytes." << endl;
cout << "Memory usage of DSM + population: " << (double)maxMemory/(double)repeat + nInitial*ell/8 << " bytes." << endl;
printf ("\n");
printf ("%f %d\n", stGen.getMean (), failNum);
return EXIT_SUCCESS;
}
bool ResultsExporter::writeOutput(ostream &stream)
{
mMessage = "Exporting results matrix...";
if (mpProgress != NULL)
{
mpProgress->updateProgress(mMessage, 0, NORMAL);
}
StepResource pStep(mMessage, "app", "D890E37C-B960-4527-8AAC-D62F2DE7A541");
RasterDataDescriptor* pDescriptor = dynamic_cast<RasterDataDescriptor*>(mpResults->getDataDescriptor());
if (pDescriptor == NULL)
{
mMessage = "Could not get the results data descriptor!";
if (mpProgress != NULL)
{
mpProgress->updateProgress(mMessage, 0, ERRORS);
}
pStep->finalize(Message::Failure);
return false;
}
VERIFY(mpResults != NULL);
string name = mpResults->getName();
VERIFY(mpFileDescriptor != NULL);
const vector<DimensionDescriptor>& rows = mpFileDescriptor->getRows();
const vector<DimensionDescriptor>& columns = mpFileDescriptor->getColumns();
unsigned int numRows = pDescriptor->getRowCount();
unsigned int numColumns = pDescriptor->getColumnCount();
EncodingType eDataType = pDescriptor->getDataType();
const vector<int>& badValues = pDescriptor->getBadValues();
if (mbMetadata)
{
stream << APP_NAME << " Results Raster\n";
stream << "Version = 4\n";
stream << "Results Name = " << name << "\n";
DataElement* pParent = mpResults->getParent();
if (pParent != NULL)
{
stream << "Data Set Name = " << pParent->getName() << "\n";
}
stream << "Rows = " << numRows << "\n";
stream << "Columns = " << numColumns << "\n";
string dataType = StringUtilities::toDisplayString(eDataType);
stream << "Data Type = " << dataType << "\n";
Statistics* pStatistics = mpResults->getStatistics();
if (pStatistics != NULL)
{
stream << "Min = " << pStatistics->getMin() << "\n";
stream << "Max = " << pStatistics->getMax() << "\n";
stream << "Average = " << pStatistics->getAverage() << "\n";
stream << "Standard Deviation = " << pStatistics->getStandardDeviation() << "\n\n";
}
}
RasterElement* pGeo = getGeoreferencedRaster();
DataAccessor da = mpResults->getDataAccessor();
if (!da.isValid())
{
mMessage = "Could not access the data in the results raster!";
if (mpProgress != NULL)
{
mpProgress->updateProgress(mMessage, 0, ERRORS);
}
pStep->finalize(Message::Failure);
return false;
}
unsigned int activeRowNumber = 0;
for (unsigned int r = 0; r < rows.size(); ++r)
{
if (mbAbort)
{
mMessage = "Results exporter aborted!";
if (mpProgress != NULL)
{
mpProgress->updateProgress(mMessage, 0, ABORT);
}
pStep->finalize(Message::Abort);
return false;
}
DimensionDescriptor rowDim = rows[r];
// Skip to the next row
for (; activeRowNumber < rowDim.getActiveNumber(); ++activeRowNumber)
{
da->nextRow();
}
unsigned int activeColumnNumber = 0;
for (unsigned int c = 0; c < columns.size(); ++c)
{
DimensionDescriptor columnDim = columns[c];
// Skip to the next column
for (; activeColumnNumber < columnDim.getActiveNumber(); ++activeColumnNumber)
{
da->nextColumn();
}
VERIFY(da.isValid());
double dValue = ModelServices::getDataValue(eDataType, da->getColumn(), COMPLEX_MAGNITUDE, 0);
if (isValueExported(dValue, badValues))
{
string location = getLocationString(r, c, pGeo);
char buffer[1024];
sprintf(buffer, "%lf\n", dValue);
stream << name << " " << location << " " << buffer;
}
}
// Update the progress
int iProgress = (r * 100) / rows.size();
if (iProgress == 100)
{
iProgress = 99;
}
if (mpProgress != NULL)
{
mpProgress->updateProgress(mMessage, iProgress, NORMAL);
}
}
stream << "\n";
return true;
}
/** The ISIS smtk main application */
void IsisMain() {
UserInterface &ui = Application::GetUserInterface();
// Open the first cube. It is the left hand image.
Cube lhImage;
CubeAttributeInput &attLeft = ui.GetInputAttribute("FROM");
vector<QString> bandLeft = attLeft.bands();
lhImage.setVirtualBands(bandLeft);
lhImage.open(ui.GetFileName("FROM"),"r");
// Open the second cube, it is geomertricallty altered. We will be matching the
// first to this one by attempting to compute a sample/line offsets
Cube rhImage;
CubeAttributeInput &attRight = ui.GetInputAttribute("MATCH");
vector<QString> bandRight = attRight.bands();
rhImage.setVirtualBands(bandRight);
rhImage.open(ui.GetFileName("MATCH"),"r");
// Ensure only single bands
if (lhImage.bandCount() != 1 || rhImage.bandCount() != 1) {
QString msg = "Input Cubes must have only one band!";
throw IException(IException::User,msg,_FILEINFO_);
}
// Both images must have a Camera and can also have a Projection. We will
// only deal with a Camera, however as a projected, non-mosaicked image
// uses a Projection internal to the Camera object.
Camera *lhCamera = NULL;
Camera *rhCamera = NULL;
try {
lhCamera = lhImage.camera();
rhCamera = rhImage.camera();
}
catch (IException &ie) {
QString msg = "Both input images must have a camera";
throw IException(ie, IException::User, msg, _FILEINFO_);
}
// Since we are generating a DEM, we must turn off any existing
// DEM that may have been initialized with spiceinit.
lhCamera->IgnoreElevationModel(true);
rhCamera->IgnoreElevationModel(true);
// Get serial number
QString serialLeft = SerialNumber::Compose(lhImage, true);
QString serialRight = SerialNumber::Compose(rhImage, true);
// This still precludes band to band registrations.
if (serialLeft == serialRight) {
QString sLeft = FileName(lhImage.fileName()).name();
QString sRight = FileName(rhImage.fileName()).name();
if (sLeft == sRight) {
QString msg = "Cube Serial Numbers must be unique - FROM=" + serialLeft +
", MATCH=" + serialRight;
throw IException(IException::User,msg,_FILEINFO_);
}
serialLeft = sLeft;
serialRight = sRight;
}
Progress prog;
prog.SetText("Finding Initial Seeds");
int nl = lhImage.lineCount();
int ns = lhImage.sampleCount();
BigInt numAttemptedInitialPoints = 0;
// Declare Gruen matcher
SmtkMatcher matcher(ui.GetFileName("REGDEF"), &lhImage, &rhImage);
// Get line/sample linc/sinc parameters
int space = ui.GetInteger("SPACE");
int linc (space), sinc(space);
// Do we have a seed points from a control net file?
bool useseed = ui.WasEntered("CNET");
// Base points on an input cnet
SmtkQStack gstack;
double lastEigen(0.0);
if (useseed) {
ControlNet cnet(ui.GetFileName("CNET"));
prog.SetMaximumSteps(cnet.GetNumPoints());
prog.CheckStatus();
gstack.reserve(cnet.GetNumPoints());
for (int cpIndex = 0; cpIndex < cnet.GetNumPoints(); cpIndex ++) {
ControlPoint *cp = cnet.GetPoint(cpIndex);
if (!cp->IsIgnored()) {
ControlMeasure *cmLeft(0), *cmRight(0);
for(int cmIndex = 0; cmIndex < cp->GetNumMeasures(); cmIndex ++) {
ControlMeasure *cm = cp->GetMeasure(cmIndex);
if (!cm->IsIgnored()) {
if (cm->GetCubeSerialNumber() == serialLeft)
cmLeft = cp->GetMeasure(cmIndex);
if (cm->GetCubeSerialNumber() == serialRight)
cmRight = cp->GetMeasure(cmIndex);
}
}
// If we have both left and right images in the control point, save it
if ( (cmLeft != 0) && (cmRight != 0) ) {
Coordinate left = Coordinate(cmLeft->GetLine(), cmLeft->GetSample());
Coordinate right = Coordinate(cmRight->GetLine(), cmRight->GetSample());
SmtkPoint spnt = matcher.Create(left, right);
// Insert the point (unregistered)
if ( spnt.isValid() ) {
int line = (int) cmLeft->GetLine();
int samp = (int) cmLeft->GetSample();
matcher.isValid(spnt);
gstack.insert(qMakePair(line, samp), spnt);
lastEigen = spnt.GoodnessOfFit();
}
}
}
prog.CheckStatus();
}
}
else {
// We want to create a grid of control points that is N rows by M columns.
int rows = (lhImage.lineCount() + linc - 1)/linc;
int cols = (lhImage.sampleCount() + sinc - 1)/sinc;
prog.SetMaximumSteps(rows * cols);
prog.CheckStatus();
// First pass stack and eigen value statistics
SmtkQStack fpass;
fpass.reserve(rows * cols);
Statistics temp_mev;
// Loop through grid of points and get statistics to compute
// initial set of points
for (int line = linc / 2 + 1; line < nl; line += linc) {
for (int samp = sinc / 2 + 1 ; samp < ns; samp += sinc) {
numAttemptedInitialPoints ++;
SmtkPoint spnt = matcher.Register(Coordinate(line,samp));
if ( spnt.isValid() ) {
matcher.isValid(spnt);
fpass.insert(qMakePair(line, samp), spnt);
temp_mev.AddData(spnt.GoodnessOfFit());
}
prog.CheckStatus();
}
}
// Now select a subset of fpass points as the seed points
cout << "Number of Potential Seed Points: " << fpass.size() << "\n";
cout << "Min / Max Eigenvalues Matched: " << temp_mev.Minimum() << ", "
<< temp_mev.Maximum() << "\n";
// How many seed points are requested
double nseed = ui.GetDouble("NSEED");
int inseed;
if (nseed >= 1.0) inseed = (int) nseed;
else if (nseed > 0.0) inseed = (int) (nseed * (double) (fpass.size()));
else inseed = (int) ((double) (fpass.size()) * 0.05);
double seedsample = ui.GetDouble("SEEDSAMPLE");
// Generate a new stack
gstack.reserve(inseed);
while ((gstack.size() < inseed) && (!fpass.isEmpty() )) {
SmtkQStack::iterator bestm;
if (seedsample <= 0.0) {
bestm = matcher.FindSmallestEV(fpass);
}
else {
bestm = matcher.FindExpDistEV(fpass, seedsample, temp_mev.Minimum(),
temp_mev.Maximum());
}
// Add point to stack
if (bestm != fpass.end()) {
Coordinate right = bestm.value().getRight();
matcher.isValid(bestm.value());
gstack.insert(bestm.key(), bestm.value());
lastEigen = bestm.value().GoodnessOfFit();
fpass.erase(bestm);
}
}
// If a user wants to see the seed network, write it out here
if (ui.WasEntered("OSEEDNET")) {
WriteCnet(ui.GetFileName("OSEEDNET"), gstack,
lhCamera->target()->name(), serialLeft, serialRight);
}
}
///////////////////////////////////////////////////////////////////////
// All done with seed points. Sanity check ensures we actually found
// some.
///////////////////////////////////////////////////////////////////////
if (gstack.size() <= 0) {
QString msg = "No seed points found - may need to check Gruen parameters.";
throw IException(IException::User, msg, _FILEINFO_);
}
// Report seed point status
if (!useseed) {
cout << "Number of Seed Points used: " << gstack.size() << "\n";
cout << "EV of last Seed Point: " << lastEigen << "\n";
}
else {
cout << "Number of Manual Seed Points: " << gstack.size() << "\n";
}
// Use seed points (in stack) to grow
SmtkQStack bmf;
bmf.reserve(gstack.size()); // Probably need much more but for starters...
BigInt numOrigPoints = gstack.size();
BigInt passpix2 = 0;
int subcbox = ui.GetInteger("SUBCBOX");
int halfBox((subcbox-1)/2);
while (!gstack.isEmpty()) {
SmtkQStackIter cstack = matcher.FindSmallestEV(gstack);
// Print number on stack
if ((gstack.size() % 1000) == 0) {
cout << "Number on Stack: " << gstack.size()
<< ". " << cstack.value().GoodnessOfFit() << "\n";
}
// Test to see if already determined
SmtkQStackIter bmfPt = bmf.find(cstack.key());
if (bmfPt == bmf.end()) {
// Its not in the final stack, process it
// Retrieve the point
SmtkPoint spnt = cstack.value();
// Register if its not already registered
if (!spnt.isRegistered()) {
spnt = matcher.Register(spnt, spnt.getAffine());
}
// Still must check for validity if the point was just registered,
// otherwise should be good
if ( spnt.isValid() ) {
passpix2++;
bmf.insert(cstack.key(), spnt); // inserts (0,0) offset excluded below
int line = cstack.key().first;
int sample = cstack.key().second;
// Determine match points
double eigen(spnt.GoodnessOfFit());
for (int sampBox = -halfBox ; sampBox <= halfBox ; sampBox++ ) {
int csamp = sample + sampBox;
for (int lineBox = -halfBox ; lineBox <= halfBox ; lineBox++) {
int cline = line + lineBox;
if ( !( (sampBox == 0) && (lineBox == 0)) ) {// Already added above
SmtkQPair dupPair(cline, csamp);
SmtkQStackIter temp = bmf.find(dupPair);
SmtkPoint bmfpnt;
if (temp != bmf.end()) {
if (temp.value().GoodnessOfFit() > eigen) {
// Create cloned point with better fit
bmfpnt = matcher.Clone(spnt, Coordinate(cline,csamp));
}
}
else { // ISIS2 is BMF(SAMP,LINE,7) .EQ VALID_MAX4)
// Clone new point for insert
bmfpnt = matcher.Clone(spnt, Coordinate(cline,csamp));
}
// Add if good point
if (bmfpnt.isValid()) {
bmf.insert(dupPair, bmfpnt);
}
}
}
}
// Grow stack with spacing adding info to stack
for (int i = -1 ; i <= 1 ; i ++) { // Sample
for (int j = -1 ; j <= 1 ; j ++) { // Line
// Don't re-add the original sample, line
if ( !((i == 0) && (j == 0)) ) {
// Grow based upon spacing
double ssamp = sample + (i * space);
double sline = line + (j * space);
Coordinate pnt = Coordinate(sline, ssamp);
SmtkPoint gpnt = matcher.Clone(spnt, pnt);
if ( gpnt.isValid() ) {
SmtkQPair growpt((int) sline, (int) ssamp);
// double check we don't have a finalized result at this position
SmtkQStackIter temp = bmf.find(growpt);
if(temp == bmf.end()) {
gstack.insert(growpt, gpnt);
}
}
}
}
}
}
}
// Remove the current point from the grow stack (hole)
gstack.erase(cstack);
}
/////////////////////////////////////////////////////////////////////////
// All done with creating points. Perform output options.
/////////////////////////////////////////////////////////////////////////
// If a TO parameter was specified, create DEM with errors
if (ui.WasEntered("TO")) {
// Create the output DEM
cout << "\nCreating output DEM from " << bmf.size() << " points.\n";
Process p;
Cube *icube = p.SetInputCube("FROM");
Cube *ocube = p.SetOutputCube("TO", icube->sampleCount(),
icube->lineCount(), 3);
p.ClearInputCubes();
int boxsize = ui.GetInteger("BOXSIZE");
double plotdist = ui.GetDouble("PLOTDIST");
TileManager dem(*ocube), eigen(*ocube), stErr(*ocube);
dem.SetTile(1, 1); // DEM Data/elevation
stErr.SetTile(1, 2); // Error in stereo computation
eigen.SetTile(1, 3); // Eigenvalue of the solution
int nBTiles(eigen.Tiles()/3); // Total tiles / 3 bands
prog.SetText("Creating DEM");
prog.SetMaximumSteps(nBTiles);
prog.CheckStatus();
Statistics stAng;
while ( !eigen.end() ) { // Must use the last band for this!!
PointPlot tm = for_each(bmf.begin(), bmf.end(), PointPlot(dem, plotdist));
tm.FillPoints(*lhCamera, *rhCamera, boxsize, dem, stErr, eigen, &stAng);
ocube->write(dem);
ocube->write(stErr);
ocube->write(eigen);
dem.next();
stErr.next();
eigen.next();
prog.CheckStatus();
}
// Report Stereo separation angles
PvlGroup stresultsPvl("StereoSeparationAngle");
stresultsPvl += PvlKeyword("Minimum", toString(stAng.Minimum()), "deg");
stresultsPvl += PvlKeyword("Average", toString(stAng.Average()), "deg");
stresultsPvl += PvlKeyword("Maximum", toString(stAng.Maximum()), "deg");
stresultsPvl += PvlKeyword("StandardDeviation", toString(stAng.StandardDeviation()), "deg");
Application::Log(stresultsPvl);
// Update the label with BandBin keywords
PvlKeyword filter("FilterName", "Elevation", "meters");
filter.addValue("ElevationError", "meters");
filter.addValue("GoodnessOfFit", "unitless");
PvlKeyword center("Center", "1.0");
center.addValue("1.0");
center.addValue("1.0");
PvlGroup &bandbin = ocube->label()->findGroup("BandBin", PvlObject::Traverse);
bandbin.addKeyword(filter, PvlContainer::Replace);
bandbin.addKeyword(center, PvlContainer::Replace);
center.setName("Width");
bandbin.addKeyword(center, PvlContainer::Replace);
p.EndProcess();
}
// If a cnet file was entered, write the ControlNet pvl to the file
if (ui.WasEntered("ONET")) {
WriteCnet(ui.GetFileName("ONET"), bmf, lhCamera->target()->name(), serialLeft,
serialRight);
}
// Create output data
PvlGroup totalPointsPvl("Totals");
totalPointsPvl += PvlKeyword("AttemptedPoints", toString(numAttemptedInitialPoints));
totalPointsPvl += PvlKeyword("InitialSuccesses", toString(numOrigPoints));
totalPointsPvl += PvlKeyword("GrowSuccesses", toString(passpix2));
totalPointsPvl += PvlKeyword("ResultingPoints", toString(bmf.size()));
Application::Log(totalPointsPvl);
Pvl arPvl = matcher.RegistrationStatistics();
PvlGroup smtkresultsPvl("SmtkResults");
smtkresultsPvl += PvlKeyword("SpiceOffImage", toString(matcher.OffImageErrorCount()));
smtkresultsPvl += PvlKeyword("SpiceDistanceError", toString(matcher.SpiceErrorCount()));
arPvl.addGroup(smtkresultsPvl);
for(int i = 0; i < arPvl.groups(); i++) {
Application::Log(arPvl.group(i));
}
// add the auto registration information to print.prt
PvlGroup autoRegTemplate = matcher.RegTemplate();
Application::Log(autoRegTemplate);
// Don't need the cubes opened anymore
lhImage.close();
rhImage.close();
}
void Facility::GenerateStandartStatistics(int thread, int mask)
{
Statistics *s;
char buf[9];
sprintf(buf,"%d",thread);
if(mask&1)
{
s=new IntervalStatistics(true,thread);
if(thread!=-1)
s->SetName("w_"+name + "_" + buf);
else
s->SetName("w_"+name);
s->SetNode(0);
stats[0].push_back(s);
s=new IntervalStatistics(false,thread);
if(thread!=-1)
s->SetName("w_"+name + "_" + buf);
else
s->SetName("w_"+name);
s->SetNode(0);
stats[1].push_back(s);
}
if(mask&2)
{
s=new IntervalStatistics(true,thread);
if(thread!=-1)
s->SetName(name + "_" + buf);
else
s->SetName(name);
s->SetNode(0);
stats[0].push_back(s);
s=new IntervalStatistics(false,thread);
if(thread!=-1)
s->SetName(name + "_" + buf);
else
s->SetName(name);
s->SetNode(0);
stats[2].push_back(s);
}
}
/**
* This calculates the coefficients for specific energy corrections
*/
void calculateSpecificEnergy(Cube *icube) {
PvlGroup &inst = icube->label()->findGroup("Instrument", Pvl::Traverse);
bool vis = (inst["Channel"][0] != "IR");
double coefficient = 1.0;
if(inst["GainMode"][0] == "HIGH") {
coefficient /= 2;
}
if(vis && inst["SamplingMode"][0] == "HI-RES") {
coefficient *= 3;
}
if(vis) {
coefficient /= toDouble(inst["ExposureDuration"][1]) / 1000.0;
}
else {
coefficient /= (toDouble(inst["ExposureDuration"][0]) * 1.01725) / 1000.0 - 0.004;
}
QString specEnergyFile = "$cassini/calibration/vims/";
if(vis) {
specEnergyFile += "vis_perf_v????.cub";
}
else {
specEnergyFile += "ir_perf_v????.cub";
}
QString waveCalFile = "$cassini/calibration/vims/wavecal_v????.cub";
FileName specEnergyFileName(specEnergyFile);
specEnergyFileName = specEnergyFileName.highestVersion();
FileName waveCalFileName(waveCalFile);
waveCalFileName = waveCalFileName.highestVersion();
Cube specEnergyCube;
specEnergyCube.open(specEnergyFileName.expanded());
Cube waveCalCube;
waveCalCube.open(waveCalFileName.expanded());
LineManager specEnergyMgr(specEnergyCube);
LineManager waveCalMgr(waveCalCube);
for(int i = 0; i < icube->bandCount(); i++) {
Statistics specEnergyStats;
Statistics waveCalStats;
if(vis) {
specEnergyMgr.SetLine(1, i + 1);
waveCalMgr.SetLine(1, i + 1);
}
else {
specEnergyMgr.SetLine(1, i + 1);
// ir starts at band 97
waveCalMgr.SetLine(1, i + 96 + 1);
}
specEnergyCube.read(specEnergyMgr);
waveCalCube.read(waveCalMgr);
specEnergyStats.AddData(specEnergyMgr.DoubleBuffer(), specEnergyMgr.size());
waveCalStats.AddData(waveCalMgr.DoubleBuffer(), waveCalMgr.size());
double bandCoefficient = coefficient * specEnergyStats.Average() * waveCalStats.Average();
specificEnergyCorrections.push_back(bandCoefficient);
}
}
//function to write the stats values to flat file
void writeFlat (ofstream &os, Statistics &s){
os << ValidateValue(s.Minimum())<<","<<
ValidateValue(s.Maximum())<<","<<
ValidateValue(s.Average())<<","<<
ValidateValue(s.StandardDeviation())<<",";
}
void LoadEqualizer::notifyLoadData( Channel* channel,
const uint32_t frameNumber,
const Statistics& statistics,
const Viewport& region )
{
LBLOG( LOG_LB2 ) << statistics.size()
<< " samples from "<< channel->getName()
<< " @ " << frameNumber << std::endl;
for( std::deque< LBFrameData >::iterator i = _history.begin();
i != _history.end(); ++i )
{
LBFrameData& frameData = *i;
if( frameData.first != frameNumber )
continue;
// Found corresponding historical data set
LBDatas& items = frameData.second;
for( LBDatas::iterator j = items.begin(); j != items.end(); ++j )
{
Data& data = *j;
if( data.channel != channel )
continue;
// Found corresponding historical data item
const uint32_t taskID = data.taskID;
LBASSERTINFO( taskID > 0, channel->getName( ));
// gather relevant load data
int64_t startTime = std::numeric_limits< int64_t >::max();
int64_t endTime = 0;
bool loadSet = false;
int64_t transmitTime = 0;
for( size_t k = 0; k < statistics.size(); ++k )
{
const Statistic& stat = statistics[k];
if( stat.task == data.destTaskID )
_updateAssembleTime( data, stat );
// from different compound
if( stat.task != taskID || loadSet )
continue;
switch( stat.type )
{
case Statistic::CHANNEL_CLEAR:
case Statistic::CHANNEL_DRAW:
case Statistic::CHANNEL_READBACK:
startTime = LB_MIN( startTime, stat.startTime );
endTime = LB_MAX( endTime, stat.endTime );
break;
case Statistic::CHANNEL_ASYNC_READBACK:
case Statistic::CHANNEL_FRAME_TRANSMIT:
transmitTime += stat.endTime - stat.startTime;
break;
case Statistic::CHANNEL_FRAME_WAIT_SENDTOKEN:
transmitTime -= stat.endTime - stat.startTime;
break;
// assemble blocks on input frames, stop using subsequent data
case Statistic::CHANNEL_ASSEMBLE:
loadSet = true;
break;
default:
break;
}
}
if( startTime == std::numeric_limits< int64_t >::max( ))
return;
data.vp.apply( region ); // Update ROI
data.time = endTime - startTime;
data.time = LB_MAX( data.time, 1 );
data.time = LB_MAX( data.time, transmitTime );
data.assembleTime = LB_MAX( data.assembleTime, 0 );
LBLOG( LOG_LB2 ) << "Added time " << data.time << " (+"
<< data.assembleTime << ") for "
<< channel->getName() << " " << data.vp << ", "
<< data.range << " @ " << frameNumber << std::endl;
return;
// Note: if the same channel is used twice as a child, the
// load-compound association does not work.
}
}
}
void IsisMain(){
Process p;
// Reset all the stats objects because they are global
latStat.Reset();
lonStat.Reset();
resStat.Reset();
sampleResStat.Reset();
lineResStat.Reset();
aspectRatioStat.Reset();
phaseStat.Reset();
emissionStat.Reset();
incidenceStat.Reset();
localSolarTimeStat.Reset();
localRaduisStat.Reset();
northAzimuthStat.Reset();
UserInterface &ui = Application::GetUserInterface();
Cube *icube = p.SetInputCube("FROM");
Camera *cam = icube->Camera();
// Cube cube;
// cube.Open(ui.GetFilename("FROM"));
// Camera *cam = cube.Camera();
int eband = cam->Bands();
// if the camera is band independent that only run one band
if (cam->IsBandIndependent()) eband = 1;
int linc = ui.GetInteger("LINC");
int sinc = ui.GetInteger("SINC");
int pTotal = eband * ((cam->Lines()-2) / linc + 2) ;
Progress progress;
progress.SetMaximumSteps(pTotal);
progress.CheckStatus();
for (int band=1; band<=eband; band++) {
cam->SetBand(band);
for (int line=1; line<(int)cam->Lines(); line=line+linc) {
for (int sample=1; sample< cam->Samples(); sample=sample+sinc) {
buildStats(cam, sample, line);
}
//set the sample value to the last sample and run buildstats
int sample = cam->Samples();
buildStats(cam, sample, line);
progress.CheckStatus();
}
//set the line value to the last line and run on all samples(sample + sinc)
int line = cam->Lines();
for (int sample=1; sample< cam->Samples(); sample=sample+sinc) {
buildStats(cam, sample, line);
}
//set last sample and run with last line
int sample = cam->Samples();
buildStats(cam, sample, line);
progress.CheckStatus();
}
//Set up the Pvl groups and get min, max, avg, and sd for each statstics object
PvlGroup pUser("User Parameters");
pUser += PvlKeyword("Filename",ui.GetFilename("FROM"));
pUser += PvlKeyword("Linc",ui.GetInteger("LINC"));
pUser += PvlKeyword("Sinc",ui.GetInteger("SINC"));
PvlGroup pLat("Latitude");
pLat += ValidateKey("LatitudeMinimum",latStat.Minimum());
pLat += ValidateKey("LatitudeMaximum",latStat.Maximum());
pLat += ValidateKey("LatitudeAverage",latStat.Average());
pLat += ValidateKey("LatitudeStandardDeviation",latStat.StandardDeviation());
PvlGroup pLon("Longitude");
pLon += ValidateKey("LongitudeMinimum",lonStat.Minimum());
pLon += ValidateKey("LongitudeMaximum",lonStat.Maximum());
pLon += ValidateKey("LongitudeAverage",lonStat.Average());
pLon += ValidateKey("LongitudeStandardDeviation",lonStat.StandardDeviation());
PvlGroup pSampleRes("SampleResolution");
pSampleRes += ValidateKey("SampleResolutionMinimum",sampleResStat.Minimum(),
"meters/pixel");
pSampleRes += ValidateKey("SampleResolutionMaximum",sampleResStat.Maximum(),
"meters/pixel");
pSampleRes += ValidateKey("SampleResolutionAverage",sampleResStat.Average(),
"meters/pixel");
pSampleRes += ValidateKey("SampleResolutionStandardDeviation",
sampleResStat.StandardDeviation(),"meters/pixel");
PvlGroup pLineRes("LineResolution");
pLineRes += ValidateKey("LineResolutionMinimum",lineResStat.Minimum(),
"meters/pixel");
pLineRes += ValidateKey("LineResolutionMaximum",lineResStat.Maximum(),
"meters/pixel");
pLineRes += ValidateKey("LineResolutionAverage",lineResStat.Average(),
"meters/pixel");
pLineRes += ValidateKey("LineResolutionStandardDeviation",
lineResStat.StandardDeviation(),"meters/pixel");
PvlGroup pResolution("Resolution");
pResolution += ValidateKey("ResolutionMinimum",resStat.Minimum(),
"meters/pixel");
pResolution += ValidateKey("ResolutionMaximum",resStat.Maximum(),
"meters/pixel");
pResolution += ValidateKey("ResolutionAverage",resStat.Average(),
"meters/pixel");
pResolution += ValidateKey("ResolutionStandardDeviation",
resStat.StandardDeviation(),"meters/pixel");
PvlGroup pAspectRatio("AspectRatio");
pAspectRatio += ValidateKey("AspectRatioMinimum",aspectRatioStat.Minimum());
pAspectRatio += ValidateKey("AspectRatioMaximun",aspectRatioStat.Maximum());
pAspectRatio += ValidateKey("AspectRatioAverage",aspectRatioStat.Average());
pAspectRatio += ValidateKey("AspectRatioStandardDeviation",
aspectRatioStat.StandardDeviation());
PvlGroup pPhase("PhaseAngle");
pPhase += ValidateKey("PhaseMinimum",phaseStat.Minimum());
pPhase += ValidateKey("PhaseMaximum",phaseStat.Maximum());
pPhase += ValidateKey("PhaseAverage",phaseStat.Average());
pPhase += ValidateKey("PhaseStandardDeviation",phaseStat.StandardDeviation());
PvlGroup pEmission("EmissionAngle");
pEmission += ValidateKey("EmissionMinimum",emissionStat.Minimum());
pEmission += ValidateKey("EmissionMaximum",emissionStat.Maximum());
pEmission += ValidateKey("EmissionAverage",emissionStat.Average());
pEmission += ValidateKey("EmissionStandardDeviation",
emissionStat.StandardDeviation());
PvlGroup pIncidence("IncidenceAngle");
pIncidence += ValidateKey("IncidenceMinimum",incidenceStat.Minimum());
pIncidence += ValidateKey("IncidenceMaximum",incidenceStat.Maximum());
pIncidence += ValidateKey("IncidenceAverage",incidenceStat.Average());
pIncidence += ValidateKey("IncidenceStandardDeviation",
incidenceStat.StandardDeviation());
PvlGroup pTime("LocalSolarTime");
pTime += ValidateKey("LocalSolarTimeMinimum",localSolarTimeStat.Minimum(),
"hours");
pTime += ValidateKey("LocalSolarTimeMaximum",localSolarTimeStat.Maximum(),
"hours");
pTime += ValidateKey("LocalSolarTimeAverage",localSolarTimeStat.Average(),
"hours");
pTime += ValidateKey("LocalSolarTimeStandardDeviation",
localSolarTimeStat.StandardDeviation(),"hours");
PvlGroup pLocalRadius("LocalRadius");
pLocalRadius += ValidateKey("LocalRadiusMinimum",localRaduisStat.Minimum());
pLocalRadius += ValidateKey("LocalRadiusMaximum",localRaduisStat.Maximum());
pLocalRadius += ValidateKey("LocalRadiusAverage",localRaduisStat.Average());
pLocalRadius += ValidateKey("LocalRadiusStandardDeviation",
localRaduisStat.StandardDeviation());
PvlGroup pNorthAzimuth("NorthAzimuth");
pNorthAzimuth += ValidateKey("NorthAzimuthMinimum",northAzimuthStat.Minimum());
pNorthAzimuth += ValidateKey("NorthAzimuthMaximum",northAzimuthStat.Maximum());
pNorthAzimuth += ValidateKey("NorthAzimuthAverage",northAzimuthStat.Average());
pNorthAzimuth += ValidateKey("NorthAzimuthStandardDeviation",
northAzimuthStat.StandardDeviation());
// Send the Output to the log area
Application::Log(pUser);
Application::Log(pLat);
Application::Log(pLon);
Application::Log(pSampleRes);
Application::Log(pLineRes);
Application::Log(pResolution);
Application::Log(pAspectRatio);
Application::Log(pPhase);
Application::Log(pEmission);
Application::Log(pIncidence);
Application::Log(pTime);
Application::Log(pLocalRadius);
Application::Log(pNorthAzimuth);
if (ui.WasEntered("TO")) {
string from = ui.GetFilename("FROM");
string outfile = Filename(ui.GetFilename("TO")).Expanded();
bool exists = Filename(outfile).Exists();
bool append = ui.GetBoolean("APPEND");
//If the user chooses a fromat of PVL then write to the output file ("TO")
if (ui.GetString("FORMAT") == "PVL") {
Pvl temp;
temp.SetTerminator("");
temp.AddGroup(pUser);
temp.AddGroup(pLat);
temp.AddGroup(pLon);
temp.AddGroup(pSampleRes);
temp.AddGroup(pLineRes);
temp.AddGroup(pResolution);
temp.AddGroup(pAspectRatio);
temp.AddGroup(pPhase);
temp.AddGroup(pEmission);
temp.AddGroup(pIncidence);
temp.AddGroup(pTime);
temp.AddGroup(pLocalRadius);
temp.AddGroup(pNorthAzimuth);
if (append) {
temp.Append(outfile);
}
else {
temp.Write(outfile);
}
}
//Create a flatfile of the data with columhn headings
// the flatfile is comma delimited and can be imported in to spreadsheets
else {
ofstream os;
bool writeHeader = true;
if (append) {
os.open(outfile.c_str(),ios::app);
if (exists) {
writeHeader = false;
}
}
else {
os.open(outfile.c_str(),ios::out);
}
// if new file or append and no file exists then write header
if(writeHeader){
os << "Filename,"<<
"LatitudeMinimum,"<<
"LatitudeMaximum,"<<
"LatitudeAverage,"<<
"LatitudeStandardDeviation,"<<
"LongitudeMinimum,"<<
"LongitudeMaximum,"<<
"LongitudeAverage,"<<
"LongitudeStandardDeviation,"<<
"SampleResolutionMinimum,"<<
"SampleResolutionMaximum,"<<
"SampleResolutionAverage,"<<
"SampleResolutionStandardDeviation,"<<
"LineResolutionMinimum,"<<
"LineResolutionMaximum,"<<
"LineResolutionAverage,"<<
"LineResolutionStandardDeviation,"<<
"ResolutionMinimum,"<<
"ResolutionMaximum,"<<
"ResolutionAverage,"<<
"ResolutionStandardDeviation,"<<
"AspectRatioMinimum,"<<
"AspectRatioMaximum,"<<
"AspectRatioAverage,"<<
"AspectRatioStandardDeviation,"<<
"PhaseMinimum,"<<
"PhaseMaximum,"<<
"PhaseAverage,"<<
"PhaseStandardDeviation,"<<
"EmissionMinimum,"<<
"EmissionMaximum,"<<
"EmissionAverage,"<<
"EmissionStandardDeviation,"<<
"IncidenceMinimum,"<<
"IncidenceMaximum,"<<
"IncidenceAverage,"<<
"IncidenceStandardDeviation,"<<
"LocalSolarTimeMinimum,"<<
"LocalSolarTimeMaximum,"<<
"LocalSolarTimeAverage,"<<
"LocalSolarTimeStandardDeviation,"<<
"LocalRadiusMaximum,"<<
"LocalRadiusMaximum,"<<
"LocalRadiusAverage,"<<
"LocalRadiusStandardDeviation,"<<
"NorthAzimuthMinimum,"<<
"NorthAzimuthMaximum,"<<
"NorthAzimuthAverage,"<<
"NorthAzimuthStandardDeviation,"<<endl;
}
os << Filename(from).Expanded() <<",";
//call the function to write out the values for each group
writeFlat(os, latStat);
writeFlat(os, lonStat);
writeFlat(os, sampleResStat);
writeFlat(os, lineResStat);
writeFlat(os, resStat);
writeFlat(os, aspectRatioStat);
writeFlat(os, phaseStat);
writeFlat(os, emissionStat);
writeFlat(os, incidenceStat);
writeFlat(os, localSolarTimeStat);
writeFlat(os, localRaduisStat);
writeFlat(os, northAzimuthStat);
os << endl;
}
}
if( ui.GetBoolean("ATTACH") ) {
string cam_name = "CameraStatistics";
//Creates new CameraStatistics Table
TableField fname( "Name", Isis::TableField::Text, 20 );
TableField fmin( "Minimum", Isis::TableField::Double );
TableField fmax( "Maximum", Isis::TableField::Double );
TableField favg( "Average", Isis::TableField::Double );
TableField fstd( "StandardDeviation", Isis::TableField::Double );
TableRecord record;
record += fname;
record += fmin;
record += fmax;
record += favg;
record += fstd;
Table table( cam_name, record );
vector<PvlGroup> grps;
grps.push_back( pLat );
grps.push_back( pLon );
grps.push_back( pSampleRes );
grps.push_back( pLineRes );
grps.push_back( pResolution );
grps.push_back( pAspectRatio );
grps.push_back( pPhase );
grps.push_back( pEmission );
grps.push_back( pIncidence );
grps.push_back( pTime );
grps.push_back( pLocalRadius );
grps.push_back( pNorthAzimuth );
for( vector<PvlGroup>::iterator g = grps.begin(); g != grps.end(); g++ ) {
int i = 0;
record[i++] = g->Name();
record[i++] = (double) (*g)[0][0];
record[i++] = (double) (*g)[1][0];
record[i++] = (double) (*g)[2][0];
record[i++] = (double) (*g)[3][0];
table += record;
}
icube->ReOpen( "rw" );
icube->Write( table );
p.WriteHistory(*icube);
icube->Close();
}
}
// stats
bool RenderBin::getStats(Statistics& stats) const
{
stats.addBins(1);
// different by return type - collects the stats in this renderrBin
bool statsCollected = false;
stats.addOrderedLeaves(_renderLeafList.size());
// draw fine grained ordering.
for(RenderLeafList::const_iterator dw_itr = _renderLeafList.begin();
dw_itr != _renderLeafList.end();
++dw_itr)
{
const RenderLeaf* rl = *dw_itr;
const Drawable* dw= rl->getDrawable();
stats.addDrawable(); // number of geosets
const Geometry* geom = dw->asGeometry();
if (geom)
{
stats.addFastDrawable();
}
if (rl->_modelview.get())
{
stats.addMatrix(); // number of matrices
}
if (dw)
{
// then tot up the primitive types and no vertices.
dw->accept(stats); // use sub-class to find the stats for each drawable
}
statsCollected = true;
}
stats.addStateGraphs(_stateGraphList.size());
for(StateGraphList::const_iterator oitr=_stateGraphList.begin();
oitr!=_stateGraphList.end();
++oitr)
{
for(StateGraph::LeafList::const_iterator dw_itr = (*oitr)->_leaves.begin();
dw_itr != (*oitr)->_leaves.end();
++dw_itr)
{
const RenderLeaf* rl = dw_itr->get();
const Drawable* dw= rl->getDrawable();
stats.addDrawable(); // number of geosets
const Geometry* geom = dw->asGeometry();
if (geom)
{
stats.addFastDrawable();
}
if (rl->_modelview.get()) stats.addMatrix(); // number of matrices
if (dw)
{
// then tot up the primitive types and no vertices.
dw->accept(stats); // use sub-class to find the stats for each drawable
}
}
statsCollected = true;
}
// now collects stats for any subbins.
for(RenderBinList::const_iterator itr = _bins.begin();
itr!=_bins.end();
++itr)
{
if (itr->second->getStats(stats))
{
statsCollected = true;
}
}
return statsCollected;
}
/**
* This method is the pass 2 processing routine. A ProcessByBrick
* will call this method for sets of data (depending on the camera
* type) and this method is responsible for writing the entire output
* temporary cube.
*
* @param in Input raw image data, not including excluded files
*/
void CreateTemporaryData(Buffer &in) {
/**
* Line scan cameras process by frame columns.
*/
if(cameraType == LineScan) {
// The statistics of every column of data need to be known
// before we can write to the temp file. Gather stats for this
// column.
Statistics inputColStats;
for(int i = 0; i < in.size(); i++) {
inputColStats.AddData(in[i]);
// We'll also need the stats for the entire frame in order to
// normalize and in order to decide whether or not we want
// to toss out the frame
inputFrameStats.AddData(in[i]);
}
// Store off the column stats
outputTmpAverages[in.Sample()-1] = inputColStats.Average();
outputTmpCounts[in.Sample()-1] = inputColStats.ValidPixels();
// Test if this is the last column and we've got all of our stats
if(in.Sample() == numOutputSamples) {
// Decide if we want this data
if(IsSpecial(inputFrameStats.StandardDeviation()) ||
inputFrameStats.StandardDeviation() > maxStdev) {
// We don't want this data...
// CreateNullData is a helper method for this case that
// nulls out the stats
CreateNullData();
// Record the exclusion
PvlGroup currExclusion("ExcludedLines");
currExclusion += PvlKeyword("FrameStartLine", iString(in.Line()));
currExclusion += PvlKeyword("ValidPixels", iString(inputFrameStats.ValidPixels()));
if(!IsSpecial(inputFrameStats.StandardDeviation()))
currExclusion += PvlKeyword("StandardDeviation", inputFrameStats.StandardDeviation());
else
currExclusion += PvlKeyword("StandardDeviation", "N/A");
excludedDetails[excludedDetails.size()-1].AddGroup(currExclusion);
}
// Let's write our data... CreateNullData took care of nulls for us
// Band 1 is our normalized average
oLineMgr->SetLine(oLineMgr->Line(),1);
for(int i = 0; i < (int)outputTmpAverages.size(); i++) {
if(!IsSpecial(outputTmpAverages[i])) {
(*oLineMgr)[i] = outputTmpAverages[i] / inputFrameStats.Average();
}
else {
(*oLineMgr)[i] = Isis::Null;
}
}
ocube->Write(*oLineMgr);
oLineMgr->SetLine(oLineMgr->Line(),2);
// band 2 is our valid dn counts
for(int i = 0; i < (int)outputTmpCounts.size(); i++) {
(*oLineMgr)[i] = outputTmpCounts[i];
numInputDns[i] += (int)(outputTmpCounts[i] + 0.5);
}
ocube->Write(*oLineMgr);
(*oLineMgr) ++;
inputFrameStats.Reset();
}
}
else if(cameraType == Framing || cameraType == PushFrame) {
// Framing cameras and push frames are treated identically;
// the framelet size for a framelet in the framing camera
// is the entire image!
int framelet = (in.Line()-1) / numFrameLines;
double stdev;
bool excluded = Excluded(currImage, framelet, stdev);
if(excluded && ((in.Line()-1) % numFrameLines == 0)) {
PvlGroup currExclusion("ExcludedFramelet");
currExclusion += PvlKeyword("FrameletStartLine", iString(in.Line()));
currExclusion += PvlKeyword("FrameletNumber", (in.Line()-1) / numFrameLines);
if(!IsSpecial(stdev)) {
currExclusion += PvlKeyword("StandardDeviation",
stdev);
}
else {
currExclusion += PvlKeyword("StandardDeviation",
"N/A");
}
excludedDetails[excludedDetails.size()-1].AddGroup(currExclusion);
}
// Since this is a line by line iterative process, we need to get the current
// data in the temp file
oLineMgr->SetLine(((in.Line() - 1) % numFrameLines) + 1, 1);
if(!excluded || !cubeInitialized) {
ocube->Read(*oLineMgr);
}
if(!cubeInitialized) {
for(int i = 0; i < oLineMgr->size(); i++) {
(*oLineMgr)[i] = Isis::Null;
}
}
vector<bool> isValidData;
if(!excluded || !cubeInitialized) {
isValidData.resize(in.size());
for(int samp = 0; samp < in.size(); samp++) {
if(IsSpecial((*oLineMgr)[samp]) && !IsSpecial(in[samp])) {
(*oLineMgr)[samp] = 0.0;
}
if(!IsSpecial(in[samp])) {
isValidData[samp] = true;
(*oLineMgr)[samp] += in[samp] / inputFrameletAverages[currImage][framelet];
}
else {
isValidData[samp] = false;
}
}
}
if(!excluded || !cubeInitialized) {
ocube->Write(*oLineMgr);
}
oLineMgr->SetLine(oLineMgr->Line(), 2);
if(!excluded || !cubeInitialized) {
ocube->Read(*oLineMgr);
}
if(!cubeInitialized) {
for(int i = 0; i < oLineMgr->size(); i++) {
(*oLineMgr)[i] = Isis::Null;
}
if(ocube->Lines() == oLineMgr->Line())
cubeInitialized = true;
}
if(!excluded || !cubeInitialized) {
for(int i = 0; i < (int)isValidData.size(); i++) {
if(IsSpecial((*oLineMgr)[i])) {
(*oLineMgr)[i] = 0.0;
}
if(isValidData[i]) {
(*oLineMgr)[i] ++;
}
}
}
if(!excluded || !cubeInitialized) {
ocube->Write(*oLineMgr);
}
}
}
int
main (int argc, char *argv[])
{
if (argc != 7)
{
printf ("GA ell lower upper std mode maxOverlap\n");
return -1;
}
int ell = atoi(argv[1]);
int lower = atoi(argv[2]);
int upper = atoi(argv[3]);
int std = atoi(argv[4]);
int mode = atoi(argv[5]);
int maxOverlap = atoi(argv[6]);
//if ( std != -1 )
// generateMoneTest(ell,std);
int round;
int failround;
int i, j;
int populationSize;
int minpopulationSize = 0;
//
// bisection
//
if (SHOW_DETAIL)
{
printf("***************\n");
printf("Bisection Phase\n");
printf("***************\n");
}
failround = 0;
for(round=0; round<BI_REPEAT; round++)
{
// populationSize = (int) (0.5 * ell * log((double)ell) / log(2.71828)) / 2;
populationSize = lower/2;
if ( populationSize <= 0 )
populationSize = 1;
int left, right, middle;
bool foundOptima = false;
// bisection phase 1
if (lower < 0 || upper < 0)
{
if (SHOW_DETAIL)
{
printf("round %d phase 1\n", round+1);
printf("---------------\n");
}
do
{
populationSize *= 2;
if (SHOW_DETAIL)
printf("[%d]: ", populationSize);
foundOptima = true;
for (j=0; j<NUMCONV; j++)
{
if(std!=-1)
generateMoneTest(ell,std,j,maxOverlap);
DSMGA dsmga(ell, populationSize, 2, 1, 0, MAX_GEN, -1);
//dsmga.doIt(false);
dsmga.doIt(false,mode);
if (!dsmga.foundOptima())
{
foundOptima = false;
if (SHOW_DETAIL)
{
printf("-");
fflush(NULL);
}
break;
}
if (SHOW_DETAIL)
{
printf("+");
fflush(NULL);
}
}
if (SHOW_DETAIL)
printf("\n");
} while (!foundOptima);
left = populationSize/2;
right = populationSize;
}
else
{
left = lower;
right = upper;
}
if (SHOW_DETAIL)
printf("===============\n");
// bisection phase 2
if (SHOW_DETAIL)
{
printf("round %d phase 2\n", round+1);
printf("---------------\n");
}
while ((right > 1.05 * left) && right > left + 2)
{
middle = (left + right) / 2;
if (SHOW_DETAIL)
printf("[%d]: ", middle);
foundOptima = true;
for (j=0; j<NUMCONV; j++)
{
DSMGA dsmga(ell, middle, 2, 1, 0, MAX_GEN, -1);
//dsmga.doIt(false);
dsmga.doIt(false,mode);
if (!dsmga.foundOptima())
{
foundOptima = false;
if (SHOW_DETAIL)
{
printf("-");
fflush(NULL);
}
break;
}
if (SHOW_DETAIL)
{
printf("+");
fflush(NULL);
}
}
if (foundOptima)
right = middle;
else
left = middle;
if (SHOW_DETAIL)
printf("\n");
};
middle = (left + right) / 2;
if (SHOW_DETAIL)
{
printf("===============\n");
printf("%d\n", middle);
printf("===============\n\n");
}
// if can find reliable population size
if (!foundOptima && right == upper)
{
failround++;
}
else
minpopulationSize += middle;
}
if (failround != BI_REPEAT)
minpopulationSize /= (BI_REPEAT - failround);
if (SHOW_DETAIL)
{
double failrate = ( 100.0 * (double)failround ) / (double)BI_REPEAT;
if ((BI_REPEAT - failround) == RELIABLE)
{
printf("minimum population size: %d\n\n", minpopulationSize);
printf("failed rate: %f %c\n\n", failrate, '%');
}
else
{
printf("Bisection cannot find reliable population size in [%d, %d]\n", lower, upper);
printf("failed rate: %f %c\n\n", failrate, '%');
return EXIT_SUCCESS;
}
}
//
// optnfe
//
if (SHOW_DETAIL)
{
printf("***************\n");
printf("Opt. nfe Phase\n");
printf("***************\n");
}
double avgoptnfe[3] = {0.0, 0.0, 0.0};
failround = 0;
for(round=0; round<NFE_REPEAT; round++)
{
double optimalnfe[3]; // nfe, population size, convergence time
double history[5][3];
for(i=0; i<5; i++)
for(j=0; j<3;j++)
history[i][j] = 0.0;
// nfe phase 1
populationSize = minpopulationSize;
bool foundLower = false;
double memo[3];
if (SHOW_DETAIL)
{
printf("round %d phase 1\n", round+1);
printf("---------------\n");
}
while (1)
{
if (SHOW_DETAIL)
{
printf("[%d]: ", populationSize);
fflush(NULL);
}
Statistics stGen;
int usedGen;
for (j=0; j<GA_REPEAT; j++)
{
DSMGA dsmga(ell, populationSize, 2, 1, 0, MAX_GEN, -1);
usedGen = dsmga.doIt(false);
usedGen = dsmga.doIt(false, mode);
if (dsmga.foundOptima())
stGen.record (usedGen);
if (SHOW_DETAIL && ((j % COUNTER) == 0))
{
printf(">");
fflush(NULL);
}
}
memo[1] = (double)populationSize;
memo[2] = stGen.getMean();
memo[0] = memo[1] * memo[2];
if (SHOW_DETAIL)
printf(" %f = %d x %f\n", memo[0], (int)memo[1], memo[2]);
if (!foundLower)
{
history[0][0] = memo[0];
history[0][1] = memo[1];
history[0][2] = memo[2];
foundLower = true;
}
else
{
if ( (memo[0] >= history[0][0]) || ((memo[0] >= history[4][0]) && (history[4][0] != 0.0)) )
{
double memo_swap = memo[0];
memo[0] = history[4][0];
history[4][0] = memo_swap;
memo_swap = memo[1];
memo[1] = history[4][1];
history[4][1] = memo_swap;
memo_swap = memo[2];
memo[2] = history[4][2];
history[4][2] = memo_swap;
break;
}
else
{
if (history[4][0] >= memo[0])
{
history[0][0] = history[4][0];
history[0][1] = history[4][1];
history[0][2] = history[4][2];
}
history[4][0] = memo[0];
history[4][1] = memo[1];
history[4][2] = memo[2];
if (history[0][0] == history[4][0])
break;
}
}
populationSize += (int)(minpopulationSize * 0.1);
}
if (SHOW_DETAIL)
printf("===============\n");
// nfe phase 2
if (SHOW_DETAIL)
printf("round %d phase 2\n", round+1);
double precision = (double)lower * PRECISION;
if (precision < 1.0)
precision = 1.0;
double history_temp[3] = {0.0, 0.0, 0.0};
int skip = 0;
bool flag = false;
while (1)
{
if ( (history[4][1] - history[0][1]) <= precision )
{
double temp = history[0][0];
int index = 0;
for (i=1; i<=4; i++)
{
if ( (history[i][0]<temp) && (history[i][0]!=0.0) && (history[i][1]>=history[0][1]) && (history[i][1]<=history[4][1]) )
{
temp = history[i][0];
index = i;
}
}
optimalnfe[0] = history[index][0];
optimalnfe[1] = history[index][1];
optimalnfe[2] = history[index][2];
break;
}
else
{
if (SHOW_DETAIL)
{
printf("---------------\n");
printf("[%d <-> %d]\n", (int)history[0][1], (int)history[4][1]);
}
for (i=0; i<=4; i++)
{
populationSize = (int)( ( (double)(4-i)*history[0][1] + (double)i*history[4][1] ) / 4.0 );
if (SHOW_DETAIL)
{
printf("[%d]: ", populationSize);
fflush(NULL);
}
// skip
if (i==0 || i==4)
skip = 1;
else
{
if (populationSize == (int)memo[1])
skip = 2;
else if (populationSize == (int)history_temp[1])
skip = 3;
else if (populationSize == (int)history[i-1][1])
skip = 4;
else
skip = 0;
}
if (skip != 0)
{
if (skip == 2)
{
history[i][0] = memo[0];
history[i][1] = memo[1];
history[i][2] = memo[2];
}
else if (skip == 3)
{
history[i][0] = history_temp[0];
history[i][1] = history_temp[1];
history[i][2] = history_temp[2];
}
else if (skip == 4)
{
history[i][0] = history[i-1][0];
history[i][1] = history[i-1][1];
history[i][2] = history[i-1][2];
}
if (SHOW_DETAIL)
{
printf("skipped ");
for (j=0; j<(GA_REPEAT/COUNTER-8); j++)
printf(">");
}
}
else
{
Statistics stGen;
int usedGen;
for (j=0; j<GA_REPEAT; j++)
{
DSMGA dsmga(ell, populationSize, 2, 1, 0, MAX_GEN, -1);
//usedGen = dsmga.doIt(false);
usedGen = dsmga.doIt(false, mode);
if (dsmga.foundOptima())
stGen.record (usedGen);
if (SHOW_DETAIL && ((j % COUNTER) == 0))
{
printf(">");
fflush(NULL);
}
}
history[i][1] = (double)populationSize;
history[i][2] = stGen.getMean();
history[i][0] = history[i][1] * history[i][2];
}
if (SHOW_DETAIL)
printf(" %f = %d x %f\n", history[i][0], (int)history[i][1], history[i][2]);
if ( (i != 0) && ((history[i][0]-history[i-1][0]) >= 0.0) && (skip != 4) )
{
if (history[i][0]-history[i-1][0]==0)
flag = true;
else
flag = false;
break;
}
}
int a, b, c;
switch (i)
{
case 1:
a=0; b=1; c=0;
break;
case 2:
a=0; b=2; c=1;
if (flag) { a=1; b=2; c=0; }
break;
case 3:
a=1; b=3; c=2;
if (flag) { a=2; b=3; c=0; }
break;
case 4:
a=2; b=4; c=3;
if (flag) { a=3; b=4; c=0; }
break;
default:
a=3; b=4; c=0;
}
history[0][0] = history[a][0];
history[0][1] = history[a][1];
history[0][2] = history[a][2];
history[4][0] = history[b][0];
history[4][1] = history[b][1];
history[4][2] = history[b][2];
if (c != 0)
{
history_temp[0] = history[c][0];
history_temp[1] = history[c][1];
history_temp[2] = history[c][2];
}
}
}
if (SHOW_DETAIL)
{
printf("===============\n");
printf("%f = %d x %f\n", optimalnfe[0], (int)optimalnfe[1], optimalnfe[2]);
printf("===============\n\n");
}
else
printf("%f %d %f\n", optimalnfe[0], (int)optimalnfe[1], optimalnfe[2]);
avgoptnfe[0] += optimalnfe[0];
avgoptnfe[1] += optimalnfe[1];
avgoptnfe[2] += optimalnfe[2];
}
avgoptnfe[0] /= (double)NFE_REPEAT;
avgoptnfe[1] /= (double)NFE_REPEAT;
avgoptnfe[2] /= (double)NFE_REPEAT;
if (SHOW_DETAIL)
printf("optimal nfe: %f = %f x %f (population size x convergence time)\n", avgoptnfe[0], avgoptnfe[1], avgoptnfe[2]);
else
printf("%f %f %f\n", avgoptnfe[0], avgoptnfe[1], avgoptnfe[2]);
return EXIT_SUCCESS;
}
void Histogram::InitializeFromCube(Cube &cube, const int band, Progress *progress) {
// Make sure band is valid
if ((band < 0) || (band > cube.Bands())) {
string msg = "Invalid band in [Histogram constructor]";
throw Isis::iException::Message(Isis::iException::Programmer,msg,_FILEINFO_);
}
double min,max;
int nbins;
if (cube.PixelType() == Isis::UnsignedByte) {
min = 0.0 * cube.Multiplier() + cube.Base();
max = 255.0 * cube.Multiplier() + cube.Base();
nbins = 256;
}
else if (cube.PixelType() == Isis::SignedWord) {
min = -32768.0 * cube.Multiplier() + cube.Base();
max = 32767.0 * cube.Multiplier() + cube.Base();
nbins = 65536;
}
else if (cube.PixelType() == Isis::Real) {
// Determine the band for statistics
int bandStart = band;
int bandStop = band;
int maxSteps = cube.Lines();
if (band == 0){
bandStart = 1;
bandStop = cube.Bands();
maxSteps = cube.Lines() * cube.Bands();
}
// Construct a line buffer manager and a statistics object
LineManager line(cube);
Statistics stats = Statistics();
// Prep for reporting progress if necessary
if (progress != NULL) {
string save = progress->Text ();
progress->SetText("Computing min/max for histogram");
progress->SetMaximumSteps(maxSteps);
progress->CheckStatus();
}
for (int useBand = bandStart ; useBand <= bandStop ; useBand++){
// Loop and get the statistics for a good minimum/maximum
for (int i=1; i<=cube.Lines(); i++) {
line.SetLine(i,useBand);
cube.Read(line);
stats.AddData (line.DoubleBuffer(),line.size());
if (progress != NULL) progress->CheckStatus();
}
}
// Get the min/max for constructing a histogram object
if (stats.ValidPixels() == 0) {
min = 0.0;
max = 1.0;
}
else {
min = stats.BestMinimum ();
max = stats.BestMaximum ();
}
nbins = 65536;
}
else {
std::string msg = "Unsupported pixel type";
throw iException::Message(Isis::iException::Programmer,msg,_FILEINFO_);
}
// Set the bins and range
SetBinRange(min,max);
SetBins(nbins);
}
void IsisMain() {
const QString caminfo_program = "caminfo";
UserInterface &ui = Application::GetUserInterface();
QList< QPair<QString, QString> > *general = NULL, *camstats = NULL, *statistics = NULL;
BandGeometry *bandGeom = NULL;
// Get input filename
FileName in = ui.GetFileName("FROM");
// Get the format
QString sFormat = ui.GetAsString("FORMAT");
// if true then run spiceinit, xml default is FALSE
// spiceinit will use system kernels
if(ui.GetBoolean("SPICE")) {
QString parameters = "FROM=" + in.expanded();
ProgramLauncher::RunIsisProgram("spiceinit", parameters);
}
Process p;
Cube *incube = p.SetInputCube("FROM");
// General data gathering
general = new QList< QPair<QString, QString> >;
general->append(MakePair("Program", caminfo_program));
general->append(MakePair("IsisVersion", Application::Version()));
general->append(MakePair("RunDate", iTime::CurrentGMT()));
general->append(MakePair("IsisId", SerialNumber::Compose(*incube)));
general->append(MakePair("From", in.baseName() + ".cub"));
general->append(MakePair("Lines", toString(incube->lineCount())));
general->append(MakePair("Samples", toString(incube->sampleCount())));
general->append(MakePair("Bands", toString(incube->bandCount())));
// Run camstats on the entire image (all bands)
// another camstats will be run for each band and output
// for each band.
if(ui.GetBoolean("CAMSTATS")) {
camstats = new QList< QPair<QString, QString> >;
QString filename = ui.GetAsString("FROM");
int sinc = ui.GetInteger("SINC");
int linc = ui.GetInteger("LINC");
CameraStatistics stats(filename, sinc, linc);
Pvl camPvl = stats.toPvl();
PvlGroup cg = camPvl.findGroup("Latitude", Pvl::Traverse);
camstats->append(MakePair("MinimumLatitude", cg["latitudeminimum"][0]));
camstats->append(MakePair("MaximumLatitude", cg["latitudemaximum"][0]));
cg = camPvl.findGroup("Longitude", Pvl::Traverse);
camstats->append(MakePair("MinimumLongitude", cg["longitudeminimum"][0]));
camstats->append(MakePair("MaximumLongitude", cg["longitudemaximum"][0]));
cg = camPvl.findGroup("Resolution", Pvl::Traverse);
camstats->append(MakePair("MinimumResolution", cg["resolutionminimum"][0]));
camstats->append(MakePair("MaximumResolution", cg["resolutionmaximum"][0]));
cg = camPvl.findGroup("PhaseAngle", Pvl::Traverse);
camstats->append(MakePair("MinimumPhase", cg["phaseminimum"][0]));
camstats->append(MakePair("MaximumPhase", cg["phasemaximum"][0]));
cg = camPvl.findGroup("EmissionAngle", Pvl::Traverse);
camstats->append(MakePair("MinimumEmission", cg["emissionminimum"][0]));
camstats->append(MakePair("MaximumEmission", cg["emissionmaximum"][0]));
cg = camPvl.findGroup("IncidenceAngle", Pvl::Traverse);
camstats->append(MakePair("MinimumIncidence", cg["incidenceminimum"][0]));
camstats->append(MakePair("MaximumIncidence", cg["incidencemaximum"][0]));
cg = camPvl.findGroup("LocalSolarTime", Pvl::Traverse);
camstats->append(MakePair("LocalTimeMinimum", cg["localsolartimeMinimum"][0]));
camstats->append(MakePair("LocalTimeMaximum", cg["localsolartimeMaximum"][0]));
}
// Compute statistics for entire cube
if(ui.GetBoolean("STATISTICS")) {
statistics = new QList< QPair<QString, QString> >;
LineManager iline(*incube);
Statistics stats;
Progress progress;
progress.SetText("Statistics...");
progress.SetMaximumSteps(incube->lineCount()*incube->bandCount());
progress.CheckStatus();
iline.SetLine(1);
for(; !iline.end() ; iline.next()) {
incube->read(iline);
stats.AddData(iline.DoubleBuffer(), iline.size());
progress.CheckStatus();
}
// Compute stats of entire cube
double nPixels = stats.TotalPixels();
double nullpercent = (stats.NullPixels() / (nPixels)) * 100;
double hispercent = (stats.HisPixels() / (nPixels)) * 100;
double hrspercent = (stats.HrsPixels() / (nPixels)) * 100;
double lispercent = (stats.LisPixels() / (nPixels)) * 100;
double lrspercent = (stats.LrsPixels() / (nPixels)) * 100;
// Statitics output for band
statistics->append(MakePair("MeanValue", toString(stats.Average())));
statistics->append(MakePair("StandardDeviation", toString(stats.StandardDeviation())));
statistics->append(MakePair("MinimumValue", toString(stats.Minimum())));
statistics->append(MakePair("MaximumValue", toString(stats.Maximum())));
statistics->append(MakePair("PercentHIS", toString(hispercent)));
statistics->append(MakePair("PercentHRS", toString(hrspercent)));
statistics->append(MakePair("PercentLIS", toString(lispercent)));
statistics->append(MakePair("PercentLRS", toString(lrspercent)));
statistics->append(MakePair("PercentNull", toString(nullpercent)));
statistics->append(MakePair("TotalPixels", toString(stats.TotalPixels())));
}
bool getFootBlob = ui.GetBoolean("USELABEL");
bool doGeometry = ui.GetBoolean("GEOMETRY");
bool doPolygon = ui.GetBoolean("POLYGON");
if(doGeometry || doPolygon || getFootBlob) {
Camera *cam = incube->camera();
QString incType = ui.GetString("INCTYPE");
int polySinc, polyLinc;
if(doPolygon && incType.toUpper() == "VERTICES") {
ImagePolygon poly;
poly.initCube(*incube);
polySinc = polyLinc = (int)(0.5 + (((poly.validSampleDim() * 2) +
(poly.validLineDim() * 2) - 3.0) /
ui.GetInteger("NUMVERTICES")));
}
else if (incType.toUpper() == "LINCSINC"){
if(ui.WasEntered("POLYSINC")) {
polySinc = ui.GetInteger("POLYSINC");
}
else {
polySinc = (int)(0.5 + 0.10 * incube->sampleCount());
if(polySinc == 0) polySinc = 1;
}
if(ui.WasEntered("POLYLINC")) {
polyLinc = ui.GetInteger("POLYLINC");
}
else {
polyLinc = (int)(0.5 + 0.10 * incube->lineCount());
if(polyLinc == 0) polyLinc = 1;
}
}
else {
QString msg = "Invalid INCTYPE option[" + incType + "]";
throw IException(IException::Programmer, msg, _FILEINFO_);
}
bandGeom = new BandGeometry();
bandGeom->setSampleInc(polySinc);
bandGeom->setLineInc(polyLinc);
bandGeom->setMaxIncidence(ui.GetDouble("MAXINCIDENCE"));
bandGeom->setMaxEmission(ui.GetDouble("MAXEMISSION"));
bool precision = ui.GetBoolean("INCREASEPRECISION");
if (getFootBlob) {
// Need to read history to obtain parameters that were used to
// create the footprint
History hist("IsisCube", in.expanded());
Pvl pvl = hist.ReturnHist();
PvlObject::PvlObjectIterator objIter;
bool found = false;
PvlGroup fpgrp;
for (objIter=pvl.endObject()-1; objIter>=pvl.beginObject(); objIter--) {
if (objIter->name().toUpper() == "FOOTPRINTINIT") {
found = true;
fpgrp = objIter->findGroup("UserParameters");
break;
}
}
if (!found) {
QString msg = "Footprint blob was not found in input image history";
throw IException(IException::User, msg, _FILEINFO_);
}
QString prec = (QString)fpgrp.findKeyword("INCREASEPRECISION");
prec = prec.toUpper();
if (prec == "TRUE") {
precision = true;
}
else {
precision = false;
}
QString inctype = (QString)fpgrp.findKeyword("INCTYPE");
inctype = inctype.toUpper();
if (inctype == "LINCSINC") {
int linc = fpgrp.findKeyword("LINC");
int sinc = fpgrp.findKeyword("SINC");
bandGeom->setSampleInc(sinc);
bandGeom->setLineInc(linc);
}
else {
int vertices = fpgrp.findKeyword("NUMVERTICES");
int lincsinc = (int)(0.5 + (((incube->sampleCount() * 2) +
(incube->lineCount() * 2) - 3.0) /
vertices));
bandGeom->setSampleInc(lincsinc);
bandGeom->setLineInc(lincsinc);
}
if (fpgrp.hasKeyword("MAXINCIDENCE")) {
double maxinc = fpgrp.findKeyword("MAXINCIDENCE");
bandGeom->setMaxIncidence(maxinc);
}
if (fpgrp.hasKeyword("MAXEMISSION")) {
double maxema = fpgrp.findKeyword("MAXEMISSION");
bandGeom->setMaxEmission(maxema);
}
}
bandGeom->collect(*cam, *incube, doGeometry, doPolygon, getFootBlob, precision);
// Check if the user requires valid image center geometry
if(ui.GetBoolean("VCAMERA") && (!bandGeom->hasCenterGeometry())) {
QString msg = "Image center does not project in camera model";
throw IException(IException::Unknown, msg, _FILEINFO_);
}
}
if(sFormat.toUpper() == "PVL")
GeneratePVLOutput(incube, general, camstats, statistics, bandGeom);
else
GenerateCSVOutput(incube, general, camstats, statistics, bandGeom);
// Clean the data
delete general;
general = NULL;
if(camstats) {
delete camstats;
camstats = NULL;
}
if(statistics) {
delete statistics;
statistics = NULL;
}
if(bandGeom) {
delete bandGeom;
bandGeom = NULL;
}
}
bool SioImporter::execute(PlugInArgList* pInArgList, PlugInArgList* pOutArgList)
{
// Read the statistics from the file and set into the raster element
RasterElement* pRaster = NULL;
if (pInArgList != NULL)
{
pRaster = pInArgList->getPlugInArgValue<RasterElement>(Importer::ImportElementArg());
}
if (pRaster != NULL)
{
// Get the filename
string filename = pRaster->getFilename();
// Read the file
FileResource pFile(filename.c_str(), "rb");
SioFile sioFile;
if (sioFile.deserialize(pFile.get()) == true)
{
if (sioFile.mOriginalVersion == 9 && isBatch())
{
//Since version 9 sio's are not officially supported
//don't load them in batch to force users to load them
//interactively which will show them the reason why.
return false;
}
const RasterDataDescriptor* pDescriptor =
dynamic_cast<const RasterDataDescriptor*>(pRaster->getDataDescriptor());
if (pDescriptor != NULL &&
RasterUtilities::isSubcube(pDescriptor, false) == false &&
Service<SessionManager>()->isSessionLoading() == false)
{
const vector<DimensionDescriptor>& bands = pDescriptor->getBands();
for (unsigned int i = 0; i < bands.size(); ++i)
{
Statistics* pStatistics = pRaster->getStatistics(bands[i]);
if (pStatistics != NULL)
{
// Bad values
if (i < sioFile.mBadValues.size())
{
vector<int> badValues = sioFile.mBadValues[i];
pStatistics->setBadValues(badValues);
}
// Min
if (i < sioFile.mStatMin.size())
{
double dMin = sioFile.mStatMin[i];
pStatistics->setMin(dMin);
}
// Max
if (i < sioFile.mStatMax.size())
{
double dMax = sioFile.mStatMax[i];
pStatistics->setMax(dMax);
}
// Average
if (i < sioFile.mStatAvg.size())
{
double dAverage = sioFile.mStatAvg[i];
pStatistics->setAverage(dAverage);
}
// Standard deviation
if (i < sioFile.mStatStdDev.size())
{
double dStdDev = sioFile.mStatStdDev[i];
pStatistics->setStandardDeviation(dStdDev);
}
// Percentiles
if (i < sioFile.mStatPercentile.size())
{
double* pPercentiles = sioFile.mStatPercentile[i];
pStatistics->setPercentiles(pPercentiles);
}
// Histogram
if ((i < sioFile.mStatBinCenter.size()) && (i < sioFile.mStatHistogram.size()))
{
double* pBinCenters = sioFile.mStatBinCenter[i];
unsigned int* pCounts = sioFile.mStatHistogram[i];
pStatistics->setHistogram(pBinCenters, pCounts);
}
}
}
}
}
}
return RasterElementImporterShell::execute(pInArgList, pOutArgList);
}
void IsisMain() {
//Create a process to create the input cubes
Process p;
//Create the input cubes, matching sample/lines
Cube *inCube = p.SetInputCube ("FROM");
Cube *latCube = p.SetInputCube("LATCUB", SpatialMatch);
Cube *lonCube = p.SetInputCube("LONCUB", SpatialMatch);
//A 1x1 brick to read in the latitude and longitude DN values from
//the specified cubes
Brick latBrick(1,1,1, latCube->PixelType());
Brick lonBrick(1,1,1, lonCube->PixelType());
UserInterface &ui = Application::GetUserInterface();
//Set the sample and line increments
int sinc = (int)(inCube->Samples() * 0.10);
if(ui.WasEntered("SINC")) {
sinc = ui.GetInteger("SINC");
}
int linc = (int)(inCube->Lines() * 0.10);
if(ui.WasEntered("LINC")) {
linc = ui.GetInteger("LINC");
}
//Set the degree of the polynomial to use in our functions
int degree = ui.GetInteger("DEGREE");
//We are using a polynomial with two variables
PolynomialBivariate sampFunct(degree);
PolynomialBivariate lineFunct(degree);
//We will be solving the function using the least squares method
LeastSquares sampSol(sampFunct);
LeastSquares lineSol(lineFunct);
//Setup the variables for solving the stereographic projection
//x = cos(latitude) * sin(longitude - lon_center)
//y = cos(lat_center) * sin(latitude) - sin(lat_center) * cos(latitude) * cos(longitude - lon_center)
//Get the center lat and long from the input cubes
double lat_center = latCube->Statistics()->Average() * PI/180.0;
double lon_center = lonCube->Statistics()->Average() * PI/180.0;
/**
* Loop through lines and samples projecting the latitude and longitude at those
* points to stereographic x and y and adding these points to the LeastSquares
* matrix.
*/
for(int i = 1; i <= inCube->Lines(); i+= linc) {
for(int j = 1; j <= inCube->Samples(); j+= sinc) {
latBrick.SetBasePosition(j, i, 1);
latCube->Read(latBrick);
if(IsSpecial(latBrick.at(0))) continue;
double lat = latBrick.at(0) * PI/180.0;
lonBrick.SetBasePosition(j, i, 1);
lonCube->Read(lonBrick);
if(IsSpecial(lonBrick.at(0))) continue;
double lon = lonBrick.at(0) * PI/180.0;
//Project lat and lon to x and y using a stereographic projection
double k = 2/(1 + sin(lat_center) * sin(lat) + cos(lat_center)*cos(lat)*cos(lon - lon_center));
double x = k * cos(lat) * sin(lon - lon_center);
double y = k * (cos(lat_center) * sin(lat)) - (sin(lat_center) * cos(lat) * cos(lon - lon_center));
//Add x and y to the least squares matrix
vector<double> data;
data.push_back(x);
data.push_back(y);
sampSol.AddKnown(data, j);
lineSol.AddKnown(data, i);
//If the sample increment goes past the last sample in the line, we want to
//always read the last sample..
if(j != inCube->Samples() && j + sinc > inCube->Samples()) {
j = inCube->Samples() - sinc;
}
}
//If the line increment goes past the last line in the cube, we want to
//always read the last line..
if(i != inCube->Lines() && i + linc > inCube->Lines()) {
i = inCube->Lines() - linc;
}
}
//Solve the least squares functions using QR Decomposition
sampSol.Solve(LeastSquares::QRD);
lineSol.Solve(LeastSquares::QRD);
//If the user wants to save the residuals to a file, create a file and write
//the column titles to it.
TextFile oFile;
if(ui.WasEntered("RESIDUALS")) {
oFile.Open(ui.GetFilename("RESIDUALS"), "overwrite");
oFile.PutLine("Sample,\tLine,\tX,\tY,\tSample Error,\tLine Error\n");
}
//Gather the statistics for the residuals from the least squares solutions
Statistics sampErr;
Statistics lineErr;
vector<double> sampResiduals = sampSol.Residuals();
vector<double> lineResiduals = lineSol.Residuals();
for(int i = 0; i < (int)sampResiduals.size(); i++) {
sampErr.AddData(sampResiduals[i]);
lineErr.AddData(lineResiduals[i]);
}
//If a residuals file was specified, write the previous data, and the errors to the file.
if(ui.WasEntered("RESIDUALS")) {
for(int i = 0; i < sampSol.Rows(); i++) {
vector<double> data = sampSol.GetInput(i);
iString tmp = "";
tmp += iString(sampSol.GetExpected(i));
tmp += ",\t";
tmp += iString(lineSol.GetExpected(i));
tmp += ",\t";
tmp += iString(data[0]);
tmp += ",\t";
tmp += iString(data[1]);
tmp += ",\t";
tmp += iString(sampResiduals[i]);
tmp += ",\t";
tmp += iString(lineResiduals[i]);
oFile.PutLine(tmp + "\n");
}
}
oFile.Close();
//Records the error to the log
PvlGroup error( "Error" );
error += PvlKeyword( "Degree", degree );
error += PvlKeyword( "NumberOfPoints", (int)sampResiduals.size() );
error += PvlKeyword( "SampleMinimumError", sampErr.Minimum() );
error += PvlKeyword( "SampleAverageError", sampErr.Average() );
error += PvlKeyword( "SampleMaximumError", sampErr.Maximum() );
error += PvlKeyword( "SampleStdDeviationError", sampErr.StandardDeviation() );
error += PvlKeyword( "LineMinimumError", lineErr.Minimum() );
error += PvlKeyword( "LineAverageError", lineErr.Average() );
error += PvlKeyword( "LineMaximumError", lineErr.Maximum() );
error += PvlKeyword( "LineStdDeviationError", lineErr.StandardDeviation() );
Application::Log( error );
//Close the input cubes for cleanup
p.EndProcess();
//If we want to warp the image, then continue, otherwise return
if(!ui.GetBoolean("NOWARP")) {
//Creates the mapping group
Pvl mapFile;
mapFile.Read(ui.GetFilename("MAP"));
PvlGroup &mapGrp = mapFile.FindGroup("Mapping",Pvl::Traverse);
//Reopen the lat and long cubes
latCube = new Cube();
latCube->SetVirtualBands(ui.GetInputAttribute("LATCUB").Bands());
latCube->Open(ui.GetFilename("LATCUB"));
lonCube = new Cube();
lonCube->SetVirtualBands(ui.GetInputAttribute("LONCUB").Bands());
lonCube->Open(ui.GetFilename("LONCUB"));
PvlKeyword targetName;
//If the user entered the target name
if(ui.WasEntered("TARGET")) {
targetName = PvlKeyword("TargetName", ui.GetString("TARGET"));
}
//Else read the target name from the input cube
else {
Pvl fromFile;
fromFile.Read(ui.GetFilename("FROM"));
targetName = fromFile.FindKeyword("TargetName", Pvl::Traverse);
}
mapGrp.AddKeyword(targetName, Pvl::Replace);
PvlKeyword equRadius;
PvlKeyword polRadius;
//If the user entered the equatorial and polar radii
if(ui.WasEntered("EQURADIUS") && ui.WasEntered("POLRADIUS")) {
equRadius = PvlKeyword("EquatorialRadius", ui.GetDouble("EQURADIUS"));
polRadius = PvlKeyword("PolarRadius", ui.GetDouble("POLRADIUS"));
}
//Else read them from the pck
else {
Filename pckFile("$base/kernels/pck/pck?????.tpc");
pckFile.HighestVersion();
string pckFilename = pckFile.Expanded();
furnsh_c(pckFilename.c_str());
string target = targetName[0];
SpiceInt code;
SpiceBoolean found;
bodn2c_c (target.c_str(), &code, &found);
if (!found) {
string msg = "Could not convert Target [" + target +
"] to NAIF code";
throw Isis::iException::Message(Isis::iException::Io,msg,_FILEINFO_);
}
SpiceInt n;
SpiceDouble radii[3];
bodvar_c(code,"RADII",&n,radii);
equRadius = PvlKeyword("EquatorialRadius", radii[0] * 1000);
polRadius = PvlKeyword("PolarRadius", radii[2] * 1000);
}
mapGrp.AddKeyword(equRadius, Pvl::Replace);
mapGrp.AddKeyword(polRadius, Pvl::Replace);
//If the latitude type is not in the mapping group, copy it from the input
if(!mapGrp.HasKeyword("LatitudeType")) {
if(ui.GetString("LATTYPE") == "PLANETOCENTRIC") {
mapGrp.AddKeyword(PvlKeyword("LatitudeType","Planetocentric"), Pvl::Replace);
}
else {
mapGrp.AddKeyword(PvlKeyword("LatitudeType","Planetographic"), Pvl::Replace);
}
}
//If the longitude direction is not in the mapping group, copy it from the input
if(!mapGrp.HasKeyword("LongitudeDirection")) {
if(ui.GetString("LONDIR") == "POSITIVEEAST") {
mapGrp.AddKeyword(PvlKeyword("LongitudeDirection","PositiveEast"), Pvl::Replace);
}
else {
mapGrp.AddKeyword(PvlKeyword("LongitudeDirection","PositiveWest"), Pvl::Replace);
}
}
//If the longitude domain is not in the mapping group, assume it is 360
if(!mapGrp.HasKeyword("LongitudeDomain")) {
mapGrp.AddKeyword(PvlKeyword("LongitudeDomain","360"), Pvl::Replace);
}
//If the default range is to be computed, use the input lat/long cubes to determine the range
if(ui.GetString("DEFAULTRANGE") == "COMPUTE") {
//NOTE - When computing the min/max longitude this application does not account for the
//longitude seam if it exists. Since the min/max are calculated from the statistics of
//the input longitude cube and then converted to the mapping group's domain they may be
//invalid for cubes containing the longitude seam.
Statistics *latStats = latCube->Statistics();
Statistics *lonStats = lonCube->Statistics();
double minLat = latStats->Minimum();
double maxLat = latStats->Maximum();
bool isOcentric = ((std::string)mapGrp.FindKeyword("LatitudeType")) == "Planetocentric";
if(isOcentric) {
if(ui.GetString("LATTYPE") != "PLANETOCENTRIC") {
minLat = Projection::ToPlanetocentric(minLat, (double)equRadius, (double)polRadius);
maxLat = Projection::ToPlanetocentric(maxLat, (double)equRadius, (double)polRadius);
}
}
else {
if(ui.GetString("LATTYPE") == "PLANETOCENTRIC") {
minLat = Projection::ToPlanetographic(minLat, (double)equRadius, (double)polRadius);
maxLat = Projection::ToPlanetographic(maxLat, (double)equRadius, (double)polRadius);
}
}
int lonDomain = (int)mapGrp.FindKeyword("LongitudeDomain");
double minLon = lonDomain == 360 ? Projection::To360Domain(lonStats->Minimum()) : Projection::To180Domain(lonStats->Minimum());
double maxLon = lonDomain == 360 ? Projection::To360Domain(lonStats->Maximum()) : Projection::To180Domain(lonStats->Maximum());
bool isPosEast = ((std::string)mapGrp.FindKeyword("LongitudeDirection")) == "PositiveEast";
if(isPosEast) {
if(ui.GetString("LONDIR") != "POSITIVEEAST") {
minLon = Projection::ToPositiveEast(minLon, lonDomain);
maxLon = Projection::ToPositiveEast(maxLon, lonDomain);
}
}
else {
if(ui.GetString("LONDIR") == "POSITIVEEAST") {
minLon = Projection::ToPositiveWest(minLon, lonDomain);
maxLon = Projection::ToPositiveWest(maxLon, lonDomain);
}
}
if(minLon > maxLon) {
double temp = minLon;
minLon = maxLon;
maxLon = temp;
}
mapGrp.AddKeyword(PvlKeyword("MinimumLatitude", minLat),Pvl::Replace);
mapGrp.AddKeyword(PvlKeyword("MaximumLatitude", maxLat),Pvl::Replace);
mapGrp.AddKeyword(PvlKeyword("MinimumLongitude", minLon),Pvl::Replace);
mapGrp.AddKeyword(PvlKeyword("MaximumLongitude", maxLon),Pvl::Replace);
}
//If the user decided to enter a ground range then override
if (ui.WasEntered("MINLAT")) {
mapGrp.AddKeyword(PvlKeyword("MinimumLatitude",
ui.GetDouble("MINLAT")),Pvl::Replace);
}
if (ui.WasEntered("MAXLAT")) {
mapGrp.AddKeyword(PvlKeyword("MaximumLatitude",
ui.GetDouble("MAXLAT")),Pvl::Replace);
}
if (ui.WasEntered("MINLON")) {
mapGrp.AddKeyword(PvlKeyword("MinimumLongitude",
ui.GetDouble("MINLON")),Pvl::Replace);
}
if (ui.WasEntered("MAXLON")) {
mapGrp.AddKeyword(PvlKeyword("MaximumLongitude",
ui.GetDouble("MAXLON")),Pvl::Replace);
}
//If the pixel resolution is to be computed, compute the pixels/degree from the input
if (ui.GetString("PIXRES") == "COMPUTE") {
latBrick.SetBasePosition(1,1,1);
latCube->Read(latBrick);
lonBrick.SetBasePosition(1,1,1);
lonCube->Read(lonBrick);
//Read the lat and long at the upper left corner
double a = latBrick.at(0) * PI/180.0;
double c = lonBrick.at(0) * PI/180.0;
latBrick.SetBasePosition(latCube->Samples(),latCube->Lines(),1);
latCube->Read(latBrick);
lonBrick.SetBasePosition(lonCube->Samples(),lonCube->Lines(),1);
lonCube->Read(lonBrick);
//Read the lat and long at the lower right corner
double b = latBrick.at(0) * PI/180.0;
double d = lonBrick.at(0) * PI/180.0;
//Determine the angle between the two points
double angle = acos(cos(a) * cos(b) * cos(c - d) + sin(a) * sin(b));
//double angle = acos((cos(a1) * cos(b1) * cos(b2)) + (cos(a1) * sin(b1) * cos(a2) * sin(b2)) + (sin(a1) * sin(a2)));
angle *= 180/PI;
//Determine the number of pixels between the two points
double pixels = sqrt(pow(latCube->Samples() -1.0, 2.0) + pow(latCube->Lines() -1.0, 2.0));
//Add the scale in pixels/degree to the mapping group
mapGrp.AddKeyword(PvlKeyword("Scale",
pixels/angle, "pixels/degree"),
Pvl::Replace);
if (mapGrp.HasKeyword("PixelResolution")) {
mapGrp.DeleteKeyword("PixelResolution");
}
}
// If the user decided to enter a resolution then override
if (ui.GetString("PIXRES") == "MPP") {
mapGrp.AddKeyword(PvlKeyword("PixelResolution",
ui.GetDouble("RESOLUTION"), "meters/pixel"),
Pvl::Replace);
if (mapGrp.HasKeyword("Scale")) {
mapGrp.DeleteKeyword("Scale");
}
}
else if (ui.GetString("PIXRES") == "PPD") {
mapGrp.AddKeyword(PvlKeyword("Scale",
ui.GetDouble("RESOLUTION"), "pixels/degree"),
Pvl::Replace);
if (mapGrp.HasKeyword("PixelResolution")) {
mapGrp.DeleteKeyword("PixelResolution");
}
}
//Create a projection using the map file we created
int samples,lines;
Projection *outmap = ProjectionFactory::CreateForCube(mapFile,samples,lines,false);
//Write the map file to the log
Application::GuiLog(mapGrp);
//Create a process rubber sheet
ProcessRubberSheet r;
//Set the input cube
inCube = r.SetInputCube("FROM");
double tolerance = ui.GetDouble("TOLERANCE") * outmap->Resolution();
//Create a new transform object
Transform *transform = new nocam2map (sampSol, lineSol, outmap,
latCube, lonCube,
ui.GetString("LATTYPE") == "PLANETOCENTRIC",
ui.GetString("LONDIR") == "POSITIVEEAST",
tolerance, ui.GetInteger("ITERATIONS"),
inCube->Samples(), inCube->Lines(),
samples, lines);
//Allocate the output cube and add the mapping labels
Cube *oCube = r.SetOutputCube ("TO", transform->OutputSamples(),
transform->OutputLines(),
inCube->Bands());
oCube->PutGroup(mapGrp);
//Determine which interpolation to use
Interpolator *interp = NULL;
if (ui.GetString("INTERP") == "NEARESTNEIGHBOR") {
interp = new Interpolator(Interpolator::NearestNeighborType);
}
else if (ui.GetString("INTERP") == "BILINEAR") {
interp = new Interpolator(Interpolator::BiLinearType);
}
else if (ui.GetString("INTERP") == "CUBICCONVOLUTION") {
interp = new Interpolator(Interpolator::CubicConvolutionType);
}
//Warp the cube
r.StartProcess(*transform, *interp);
r.EndProcess();
// add mapping to print.prt
PvlGroup mapping = outmap->Mapping();
Application::Log(mapping);
//Clean up
delete latCube;
delete lonCube;
delete outmap;
delete transform;
delete interp;
}
}
int main(int argc, char* argv[])
{
if (argc!=2) {
std::cerr << "CoordinateEncoding <map directory>" << std::endl;
return 1;
}
std::list<Encoder*> encoders;
Statistics statistics;
encoders.push_back(new TrivialEncoder());
encoders.push_back(new MinimumVLQDeltaEncoder());
encoders.push_back(new VLQDeltaEncoder());
encoders.push_back(new StaticOptimizedDeltaEncoder());
std::string mapDirectory=argv[1];
std::string areaDatFilename=osmscout::AppendFileToDir(mapDirectory,"areas.dat");
std::string wayDatFilename=osmscout::AppendFileToDir(mapDirectory,"ways.dat");
osmscout::TypeConfig typeConfig;
osmscout::FileScanner scanner;
uint32_t dataCount;
std::cout << "Reading type config from map directory '" << mapDirectory << "'..." << std::endl;
if (!typeConfig.LoadFromDataFile(mapDirectory)) {
std::cerr << "Cannot open type config" << std::endl;
return 1;
}
/*
std::cout << "Reading '" << areaDatFilename << "'..." << std::endl;
if (!scanner.Open(areaDatFilename,osmscout::FileScanner::Sequential,true)) {
std::cerr << "Cannot open '" << scanner.GetFilename() << "'" << std::endl;
return 1;
}
if (!scanner.Read(dataCount)) {
std::cerr << "Cannot read number of entries in file" << std::endl;
}
std::cout << dataCount << " entries..." << std::endl;
for (size_t i=1; i<=dataCount; i++) {
osmscout::Area area;
if (!area.Read(typeConfig,scanner)) {
std::cerr << "Cannot read data set #" << i << "'from file " << scanner.GetFilename() << "'" << std::endl;
return 1;
}
for (const auto& ring : area.rings) {
statistics.Measure(ring.nodes);
for (auto& encoder : encoders) {
encoder->Encode(area.GetFileOffset(),ring.nodes);
}
}
}
scanner.Close();*/
std::cout << "Reading " << wayDatFilename << "..." << std::endl;
if (!scanner.Open(wayDatFilename,osmscout::FileScanner::Sequential,true)) {
std::cerr << "Cannot open '" << scanner.GetFilename() << "'" << std::endl;
return 1;
}
if (!scanner.Read(dataCount)) {
std::cerr << "Cannot read number of entries in file" << std::endl;
}
std::cout << dataCount << " entries..." << std::endl;
for (size_t i=1; i<=dataCount; i++) {
osmscout::Way way;
if (!way.Read(typeConfig,scanner)) {
std::cerr << "Cannot read data set #" << i << "'from file " << scanner.GetFilename() << "'" << std::endl;
return 1;
}
for (size_t n =0; n<way.nodes.size(); n++) {
std::cout << way.nodes[n].GetDisplayText() << " ";
}
std::cout << std::endl;
statistics.Measure(way.nodes);
for (auto& encoder : encoders) {
encoder->Encode(way.GetFileOffset(),way.nodes);
}
}
scanner.Close();
std::cout << "---" << std::endl;
for (auto& encoder : encoders) {
std::cout << "Encoder: " << encoder->name << " " << encoder->bytesNeeded << std::endl;
delete encoder;
}
encoders.clear();
std::cout << "---" << std::endl;
std::cout << "Number of vectors: " << statistics.numberOfVectors << std::endl;
std::cout << "Number of empty vectors: " << statistics.emptyVectorCount << std::endl;
std::cout << "Number of six bit length vectors: " << statistics.sixBitVectorCount << " " << statistics.sixBitVectorCount*100.0/statistics.numberOfVectors << "%" << std::endl;
std::cout << "Number of coords: " << statistics.coordCount << std::endl;
std::cout << "Min. length: " << statistics.minLength << std::endl;
std::cout << "Max. length: " << statistics.maxLength << std::endl;
std::cout << "Avg. length: " << statistics.coordCount*1.0/statistics.numberOfVectors << std::endl;
std::cout << "Delta: " << statistics.minDelta << " - " << statistics.deltaSum/statistics.deltaCount << " - " << statistics.maxDelta;
std::cout << " (" << statistics.deltaSum << "/" << statistics.deltaCount << ")" << std::endl;
std::cout << "Delta distribution (3,4,5,6,7,15,23 bits): ";
std::cout << statistics.threeBitDeltaCount*100.0/statistics.deltaCount << "% ";
std::cout << statistics.fourBitDeltaCount*100.0/statistics.deltaCount << "% ";
std::cout << statistics.fiveBitDeltaCount*100.0/statistics.deltaCount << "% ";
std::cout << statistics.sixBitDeltaCount*100.0/statistics.deltaCount << "% ";
std::cout << statistics.sevenBitDeltaCount*100.0/statistics.deltaCount << "% ";
std::cout << statistics.fifteenBitDeltaCount*100.0/statistics.deltaCount << "% ";
std::cout << statistics.twentythreeBitDeltaCount*100.0/statistics.deltaCount << "%" << std::endl;
return 0;
}
//Helper function to compute input range.
void ComputeInputRange () {
Process p;
Cube *latCub = p.SetInputCube("LATCUB");
Cube *lonCub = p.SetInputCube("LONCUB");
UserInterface &ui = Application::GetUserInterface();
Pvl userMap;
userMap.Read(ui.GetFilename("MAP"));
PvlGroup &userGrp = userMap.FindGroup("Mapping",Pvl::Traverse);
Statistics *latStats = latCub->Statistics();
Statistics *lonStats = lonCub->Statistics();
double minLat = latStats->Minimum();
double maxLat = latStats->Maximum();
int lonDomain = userGrp.HasKeyword("LongitudeDomain") ? (int)userGrp.FindKeyword("LongitudeDomain") : 360;
double minLon = lonDomain == 360 ? Projection::To360Domain(lonStats->Minimum()) : Projection::To180Domain(lonStats->Minimum());
double maxLon = lonDomain == 360 ? Projection::To360Domain(lonStats->Maximum()) : Projection::To180Domain(lonStats->Maximum());
if(userGrp.HasKeyword("LatitudeType")) {
bool isOcentric = ((std::string)userGrp.FindKeyword("LatitudeType")) == "Planetocentric";
double equRadius;
double polRadius;
//If the user entered the equatorial and polar radii
if(ui.WasEntered("EQURADIUS") && ui.WasEntered("POLRADIUS")) {
equRadius = ui.GetDouble("EQURADIUS");
polRadius = ui.GetDouble("POLRADIUS");
}
//Else read them from the pck
else {
Filename pckFile("$base/kernels/pck/pck?????.tpc");
pckFile.HighestVersion();
string pckFilename = pckFile.Expanded();
furnsh_c(pckFilename.c_str());
string target;
//If user entered target
if(ui.WasEntered("TARGET")) {
target = ui.GetString("TARGET");
}
//Else read the target name from the input cube
else {
Pvl fromFile;
fromFile.Read(ui.GetFilename("FROM"));
target = (string)fromFile.FindKeyword("TargetName", Pvl::Traverse);
}
SpiceInt code;
SpiceBoolean found;
bodn2c_c (target.c_str(), &code, &found);
if (!found) {
string msg = "Could not convert Target [" + target +
"] to NAIF code";
throw Isis::iException::Message(Isis::iException::Io,msg,_FILEINFO_);
}
SpiceInt n;
SpiceDouble radii[3];
bodvar_c(code,"RADII",&n,radii);
equRadius = radii[0] * 1000;
polRadius = radii[2] * 1000;
}
if(isOcentric) {
if(ui.GetString("LATTYPE") != "PLANETOCENTRIC") {
minLat = Projection::ToPlanetocentric(minLat, (double)equRadius, (double)polRadius);
maxLat = Projection::ToPlanetocentric(maxLat, (double)equRadius, (double)polRadius);
}
}
else {
if(ui.GetString("LATTYPE") == "PLANETOCENTRIC") {
minLat = Projection::ToPlanetographic(minLat, (double)equRadius, (double)polRadius);
maxLat = Projection::ToPlanetographic(maxLat, (double)equRadius, (double)polRadius);
}
}
}
if(userGrp.HasKeyword("LongitudeDirection")) {
bool isPosEast = ((std::string)userGrp.FindKeyword("LongitudeDirection")) == "PositiveEast";
if(isPosEast) {
if(ui.GetString("LONDIR") != "POSITIVEEAST") {
minLon = Projection::ToPositiveEast(minLon, lonDomain);
maxLon = Projection::ToPositiveEast(maxLon, lonDomain);
if(minLon > maxLon) {
double temp = minLon;
minLon = maxLon;
maxLon = temp;
}
}
}
else {
if(ui.GetString("LONDIR") == "POSITIVEEAST") {
minLon = Projection::ToPositiveWest(minLon, lonDomain);
maxLon = Projection::ToPositiveWest(maxLon, lonDomain);
if(minLon > maxLon) {
double temp = minLon;
minLon = maxLon;
maxLon = temp;
}
}
}
}
// Set ground range parameters in UI
ui.Clear("MINLAT");
ui.PutDouble("MINLAT", minLat);
ui.Clear("MAXLAT");
ui.PutDouble("MAXLAT", maxLat);
ui.Clear("MINLON");
ui.PutDouble("MINLON", minLon);
ui.Clear("MAXLON");
ui.PutDouble("MAXLON", maxLon);
p.EndProcess();
// Set default ground range param to camera
ui.Clear("DEFAULTRANGE");
ui.PutAsString("DEFAULTRANGE","COMPUTE");
}
// Return a PVL group containing the statistical information
PvlGroup PvlStats(Statistics &stats, const QString &name) {
// Construct a label with the results
PvlGroup results(name);
if(stats.ValidPixels() != 0) {
results += PvlKeyword("Average", toString(stats.Average()));
results += PvlKeyword("StandardDeviation", toString(stats.StandardDeviation()));
results += PvlKeyword("Variance", toString(stats.Variance()));
results += PvlKeyword("Minimum", toString(stats.Minimum()));
results += PvlKeyword("Maximum", toString(stats.Maximum()));
}
results += PvlKeyword("TotalPixels", toString(stats.TotalPixels()));
results += PvlKeyword("ValidPixels", toString(stats.ValidPixels()));
results += PvlKeyword("NullPixels", toString(stats.NullPixels()));
results += PvlKeyword("LisPixels", toString(stats.LisPixels()));
results += PvlKeyword("LrsPixels", toString(stats.LrsPixels()));
results += PvlKeyword("HisPixels", toString(stats.HisPixels()));
results += PvlKeyword("HrsPixels", toString(stats.HrsPixels()));
return results;
}
//function to add stats data to the stats object.
//also tests if the line and samp are valid
void buildStats (Camera *cam, int &sample, int &line){
cam->SetImage(sample, line);
if (cam->HasSurfaceIntersection()) {
latStat.AddData(cam->UniversalLatitude());
lonStat.AddData(cam->UniversalLongitude());
resStat.AddData(cam->PixelResolution());
sampleResStat.AddData(cam->SampleResolution());
lineResStat.AddData(cam->LineResolution());
phaseStat.AddData(cam->PhaseAngle());
emissionStat.AddData(cam->EmissionAngle());
incidenceStat.AddData(cam->IncidenceAngle());
localSolarTimeStat.AddData(cam->LocalSolarTime());
localRaduisStat.AddData(cam->LocalRadius());
northAzimuthStat.AddData(cam->NorthAzimuth());
double Aratio = cam->LineResolution() / cam->SampleResolution();
aspectRatioStat.AddData(Aratio);
}
}
void IsisMain() {
Process p;
// Get the list of names of input CCD cubes to stitch together
FileList flist;
UserInterface &ui = Application::GetUserInterface();
flist.Read(ui.GetFilename("FROMLIST"));
if (flist.size() < 1) {
string msg = "The list file[" + ui.GetFilename("FROMLIST") +
" does not contain any filenames";
throw iException::Message(iException::User,msg,_FILEINFO_);
}
string projection("Equirectangular");
if(ui.WasEntered("MAP")) {
Pvl mapfile(ui.GetFilename("MAP"));
projection = (string) mapfile.FindGroup("Mapping")["ProjectionName"];
}
if(ui.WasEntered("PROJECTION")) {
projection = ui.GetString("PROJECTION");
}
// Gather other user inputs to projection
string lattype = ui.GetString("LATTYPE");
string londir = ui.GetString("LONDIR");
string londom = ui.GetString("LONDOM");
int digits = ui.GetInteger("PRECISION");
// Fix them for mapping group
lattype = (lattype == "PLANETOCENTRIC") ? "Planetocentric" : "Planetographic";
londir = (londir == "POSITIVEEAST") ? "PositiveEast" : "PositiveWest";
Progress prog;
prog.SetMaximumSteps(flist.size());
prog.CheckStatus();
Statistics scaleStat;
Statistics longitudeStat;
Statistics latitudeStat;
Statistics equiRadStat;
Statistics poleRadStat;
PvlObject fileset("FileSet");
// Save major equitorial and polar radii for last occuring
double eqRad;
double eq2Rad;
double poleRad;
string target("Unknown");
for (unsigned int i = 0 ; i < flist.size() ; i++) {
// Set the input image, get the camera model, and a basic mapping
// group
Cube cube;
cube.Open(flist[i]);
int lines = cube.Lines();
int samples = cube.Samples();
PvlObject fmap("File");
fmap += PvlKeyword("Name",flist[i]);
fmap += PvlKeyword("Lines", lines);
fmap += PvlKeyword("Samples", samples);
Camera *cam = cube.Camera();
Pvl mapping;
cam->BasicMapping(mapping);
PvlGroup &mapgrp = mapping.FindGroup("Mapping");
mapgrp.AddKeyword(PvlKeyword("ProjectionName",projection),Pvl::Replace);
mapgrp.AddKeyword(PvlKeyword("LatitudeType",lattype),Pvl::Replace);
mapgrp.AddKeyword(PvlKeyword("LongitudeDirection",londir),Pvl::Replace);
mapgrp.AddKeyword(PvlKeyword("LongitudeDomain",londom),Pvl::Replace);
// Get the radii
double radii[3];
cam->Radii(radii);
eqRad = radii[0] * 1000.0;
eq2Rad = radii[1] * 1000.0;
poleRad = radii[2] * 1000.0;
target = cam->Target();
equiRadStat.AddData(&eqRad, 1);
poleRadStat.AddData(&poleRad, 1);
// Get resolution
double lowres = cam->LowestImageResolution();
double hires = cam->HighestImageResolution();
scaleStat.AddData(&lowres, 1);
scaleStat.AddData(&hires, 1);
double pixres = (lowres+hires)/2.0;
double scale = Scale(pixres, poleRad, eqRad);
mapgrp.AddKeyword(PvlKeyword("PixelResolution",pixres),Pvl::Replace);
mapgrp.AddKeyword(PvlKeyword("Scale",scale,"pixels/degree"),Pvl::Replace);
mapgrp += PvlKeyword("MinPixelResolution",lowres,"meters");
mapgrp += PvlKeyword("MaxPixelResolution",hires,"meters");
// Get the universal ground range
double minlat,maxlat,minlon,maxlon;
cam->GroundRange(minlat,maxlat,minlon,maxlon,mapping);
mapgrp.AddKeyword(PvlKeyword("MinimumLatitude",minlat),Pvl::Replace);
mapgrp.AddKeyword(PvlKeyword("MaximumLatitude",maxlat),Pvl::Replace);
mapgrp.AddKeyword(PvlKeyword("MinimumLongitude",minlon),Pvl::Replace);
mapgrp.AddKeyword(PvlKeyword("MaximumLongitude",maxlon),Pvl::Replace);
fmap.AddGroup(mapgrp);
fileset.AddObject(fmap);
longitudeStat.AddData(&minlon, 1);
longitudeStat.AddData(&maxlon, 1);
latitudeStat.AddData(&minlat, 1);
latitudeStat.AddData(&maxlat, 1);
p.ClearInputCubes();
prog.CheckStatus();
}
// Construct the output mapping group with statistics
PvlGroup mapping("Mapping");
double avgPixRes((scaleStat.Minimum()+scaleStat.Maximum())/2.0);
double avgLat((latitudeStat.Minimum()+latitudeStat.Maximum())/2.0);
double avgLon((longitudeStat.Minimum()+longitudeStat.Maximum())/2.0);
double avgEqRad((equiRadStat.Minimum()+equiRadStat.Maximum())/2.0);
double avgPoleRad((poleRadStat.Minimum()+poleRadStat.Maximum())/2.0);
double scale = Scale(avgPixRes, avgPoleRad, avgEqRad);
mapping += PvlKeyword("ProjectionName",projection);
mapping += PvlKeyword("TargetName", target);
mapping += PvlKeyword("EquatorialRadius",eqRad,"meters");
mapping += PvlKeyword("PolarRadius",poleRad,"meters");
mapping += PvlKeyword("LatitudeType",lattype);
mapping += PvlKeyword("LongitudeDirection",londir);
mapping += PvlKeyword("LongitudeDomain",londom);
mapping += PvlKeyword("PixelResolution", SetRound(avgPixRes, digits), "meters/pixel");
mapping += PvlKeyword("Scale", SetRound(scale, digits), "pixels/degree");
mapping += PvlKeyword("MinPixelResolution",scaleStat.Minimum(),"meters");
mapping += PvlKeyword("MaxPixelResolution",scaleStat.Maximum(),"meters");
mapping += PvlKeyword("CenterLongitude", SetRound(avgLon,digits));
mapping += PvlKeyword("CenterLatitude", SetRound(avgLat,digits));
mapping += PvlKeyword("MinimumLatitude", MAX(SetFloor(latitudeStat.Minimum(),digits), -90.0));
mapping += PvlKeyword("MaximumLatitude", MIN(SetCeil(latitudeStat.Maximum(),digits), 90.0));
mapping += PvlKeyword("MinimumLongitude",MAX(SetFloor(longitudeStat.Minimum(),digits), -180.0));
mapping += PvlKeyword("MaximumLongitude",MIN(SetCeil(longitudeStat.Maximum(),digits), 360.0));
PvlKeyword clat("PreciseCenterLongitude", avgLon);
clat.AddComment("Actual Parameters without precision applied");
mapping += clat;
mapping += PvlKeyword("PreciseCenterLatitude", avgLat);
mapping += PvlKeyword("PreciseMinimumLatitude", latitudeStat.Minimum());
mapping += PvlKeyword("PreciseMaximumLatitude", latitudeStat.Maximum());
mapping += PvlKeyword("PreciseMinimumLongitude",longitudeStat.Minimum());
mapping += PvlKeyword("PreciseMaximumLongitude",longitudeStat.Maximum());
Application::GuiLog(mapping);
// Write the output file if requested
if (ui.WasEntered("TO")) {
Pvl temp;
temp.AddGroup(mapping);
temp.Write(ui.GetFilename("TO","map"));
}
if (ui.WasEntered("LOG")) {
Pvl temp;
temp.AddObject(fileset);
temp.Write(ui.GetFilename("LOG","log"));
}
p.EndProcess();
}
void XmlResultPrinter::clearStatsBy(Statistics& name)
{
name.reset();
}