MainWindow::MainWindow(QWidget *parent) :
QMainWindow(parent),
ui(new Ui::MainWindow)
{
grades = new QList<studentGrade>;
ui->setupUi(this);
setupGradeMinimums();
calculateAverages();
}
void thresholdCalculator::update(ofxCvGrayscaleAdvanced & smallCurrentImg, ofxCvGrayscaleAdvanced & smallMaskImg, ofxCvGrayscaleAdvanced & currentImg,
ofRectangle & targetRect, bool isBrightEye) {
// glint threshold is still rough..
calculateAverages(smallCurrentImg, smallMaskImg, targetRect);
calculateMinMaxBrightness(currentImg, targetRect);
if (isBrightEye){
glintThresholdForBrightEye = (maxBrightness * 9 + MAX(whiteAvg, pupilAvg)) / 10;
} else {
pupilThreshold = ofClamp((pupilAvg + whiteMin * 3) / 4, pupilAvg + 5, 255);
glintThresholdForDarkEye = (maxBrightness * 3 + whiteAvg) / 4;
}
}
void affyPslAndAtlasToBedOld(char *pslFile, char *atlasFile, char *bedOut, char *expRecOut)
/** Main function that does all the work for old-style*/
{
struct hash *bedHash = NULL;
struct affyAtlas *aaList=NULL, *aa=NULL;
struct expRecord *erList=NULL, *er=NULL;
struct bed *bedList=NULL, *bed=NULL;
int expCount = 0;
FILE *erOut = NULL, *bOut=NULL;
warn("loading atlas file");
aaList = affyAtlasLoadAll(atlasFile);
expCount = countExperiments(aaList);
warn("creating list of beds from alignments");
bedList = createBedsFromPsls(pslFile, expCount);
warn("creating hash from list of beds");
bedHash = createBedHash(bedList);
warn("appending experiments to beds in hash");
appendExperiments(bedHash, aaList, &erList);
warn("Running sanity Checks");
checkAllBeds(&bedList, expCount);
warn("%d beds were missing experiments." , missingExpsCount);
warn("%d beds had no experiments.", noExpCount);
warn("Calculating average intensities");
convertIntensitiesToRatios(bedList);
calculateAverages(bedList);
warn("writing expRecords out");
erOut = mustOpen(expRecOut, "w");
for(er = erList; er != NULL; er = er->next)
expRecordTabOut(er, erOut);
carefulClose(&erOut);
warn("writing beds out");
bOut = mustOpen(bedOut, "w");
for(bed = bedList; bed != NULL; bed = bed->next)
bedTabOutN(bed, 15, bOut);
carefulClose(&bOut);
warn("cleaning up..");
freeHash(&bedHash);
bedFreeList(&bedList);
warn("Done.");
}
/*this is the code to analyse the locations of the cetacean mammals*/
void featureTwo() {
calculateAverages(sightingsHead);
//print out the sightings
printf("\n===============================================================");
printf("\nType Average Location All Sightings\n");
printf(" Lat Long Lat Long\n");
struct sighting *i = sightingsHead;
while (i != NULL) {
if (i->display == 0) {
printf("%s %0.6f %0.6f ", i->type, i->avgLoc.lat, i->avgLoc.lng);
int counter = 0;
while (counter != i->numOfDup) {
if (counter != 0) {
printf(" ");
}
printf("%0.6f %0.6f\n", i->dupLocs[counter].lat, i->dupLocs[counter].lng);
counter++;
}
}
i = i->next;
}
continueProgram("\nShall we analyse the data to find any PODs? Y/N\n");
}
void ScoreHelper::doCalculations()
{
calculateAverages();
calculateStandardDeviations();
}
void MainWindow::on_GradeListButton_clicked()
{
GradeListWindow gradeList(grades);
gradeList.exec();
calculateAverages();
}
void MainWindow::on_SetGradeCurveButton_clicked() {
SetCurveWindow setCurve(gradeMinimums);
setCurve.exec();
calculateAverages();
}
void MainWindow::on_AddGradeButton_clicked() {
AddGradeWindow addGrade(grades);
addGrade.exec();
calculateAverages();
}
