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ThreadedSolver.cpp
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ThreadedSolver.cpp
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#include "ThreadedSolver.h"
ThreadedSolver::ThreadedSolver() {
}
void ThreadedSolver::setup() {
directory = "firefly";
string extension = ".png";
int sampledshutters = 64;
sampledLocations = 64;
smoothness = .1;
#ifdef DOUBLECHECK
lut.setup("firefly-lut.csv");
#endif
ofxDirList dirList;
int n = dirList.listDir(directory);
cout << n << " images available." << endl;
vector<int> shutters;
for(int i = 0; i < n; i++) {
string curFile = dirList.getName(i);
stringstream name;
name << curFile.substr(0, curFile.rfind("."));
int shutter;
name >> shutter;
shutters.push_back(shutter);
}
sort(shutters.begin(), shutters.end());
cout << "Loading images from " << directory << "/ :";
for(int i = 0; i < sampledshutters; i++) {
int j = (i * n) / sampledshutters;
int curshutter = shutters[j];
cout << " " << j << "/" << curshutter;
images.push_back(ofImage());
images.back().loadImage(directory + "/" + ofToString(curshutter) + extension);
#ifdef DOUBLECHECK
lut.filter(images.back());
#endif
shutterTimes.push_back(curshutter);
}
cout << endl;
cout << "Loaded " << images.size() << " images." << endl;
ofImage prototype;
prototype.loadImage(dirList.getPath(0));
type = prototype.type;
if(type == OF_IMAGE_COLOR) {
redGammaSum.resize(levels);
greenGammaSum.resize(levels);
blueGammaSum.resize(levels);
cout << "Computing color gamma." << endl;
} else if(type == OF_IMAGE_GRAYSCALE) {
grayGammaSum.resize(levels);
cout << "Computing grayscale gamma." << endl;
}
iterations = 0;
ready = false;
startThread();
}
void ThreadedSolver::threadedFunction() {
while(true) {
iterations++;
// iteratively compute gamma
vector<float> curRedGamma, curGreenGamma, curBlueGamma;
vector<float> curGrayGamma;
cout << "Computing iteration " << iterations << endl;
if(type == OF_IMAGE_COLOR) {
GammaCalibration::calibrate(images, shutterTimes,
curRedGamma, curGreenGamma, curBlueGamma,
sampledLocations, smoothness);
} else if(type == OF_IMAGE_GRAYSCALE) {
GammaCalibration::calibrate(images, shutterTimes,
curGrayGamma,
sampledLocations, smoothness);
}
ready = false;
// sum gammas
for(int i = 0; i < levels; i++) {
if(type == OF_IMAGE_COLOR) {
if(isnan(curRedGamma[i]) || isnan(curGreenGamma[i]) || isnan(curBlueGamma[i])) {
cout << "Not enough data." << endl;
exit(1);
}
redGammaSum[i] += curRedGamma[i];
greenGammaSum[i] += curGreenGamma[i];
blueGammaSum[i] += curBlueGamma[i];
} else if(type == OF_IMAGE_GRAYSCALE) {
if(isnan(curGrayGamma[i])) {
cout << "Not enough data." << endl;
exit(1);
}
grayGammaSum[i] += curGrayGamma[i];
}
}
// average gamma
if(type == OF_IMAGE_COLOR) {
redGamma.clear();
greenGamma.clear();
blueGamma.clear();
} else if(type == OF_IMAGE_GRAYSCALE) {
grayGamma.clear();
}
for(int i = 0; i < levels; i++) {
if(type == OF_IMAGE_COLOR) {
redGamma.push_back(redGammaSum[i] / iterations);
greenGamma.push_back(greenGammaSum[i] / iterations);
blueGamma.push_back(blueGammaSum[i] / iterations);
} else if(type == OF_IMAGE_GRAYSCALE) {
grayGamma.push_back(grayGammaSum[i] / iterations);
}
}
// write updated gamma
ofstream curves;
string filename = "curves-" + directory + "-" + ofToString(iterations) + ".csv";
curves.open(filename.c_str());
for(int i = 0; i < levels; i++) {
if(type == OF_IMAGE_COLOR) {
curves << redGamma[i] << "," << greenGamma[i] << "," << blueGamma[i] << endl;
} else if(type == OF_IMAGE_GRAYSCALE) {
curves << grayGamma[i] << endl;
}
}
curves.flush();
curves.close();
ready = true;
}
}