int main(int argc, char** argv) {
std::cout << "make the image denoising alchemy problem"
<< std::endl;
std::string model_filename = "image";
std::string drawing = "sunset";
std::string corruption = "gaussian";
std::string smoothing = "square";
double lambda = 3;
double sigma = 1;
size_t rows = 200;
size_t rings = 7;
// Command line parsing
graphlab::command_line_options clopts("Make the alchemy image", true);
clopts.attach_option("model",
&model_filename, model_filename,
"Alchemy formatted model file");
clopts.attach_option("drawing",
&drawing, drawing,
"drawing type");
clopts.attach_option("corruption",
&corruption, corruption,
"corruption type");
clopts.attach_option("smoothing",
&smoothing, smoothing,
"smoothing type");
clopts.attach_option("lambda",
&lambda, lambda,
"edge parameter");
clopts.attach_option("sigma",
&sigma, sigma,
"noise parameter");
clopts.attach_option("rows",
&rows, rows,
"number of rows and cols");
clopts.attach_option("rings",
&rings, rings,
"number of rings");
if( !clopts.parse(argc, argv) ) {
std::cout << "Error parsing command line arguments!"
<< std::endl;
return EXIT_FAILURE;
}
std::cout << "Creating a synethic image." << std::endl;
image original(rows, rows);
if(drawing == "sunset")
original.paint_sunset(rings);
else if(drawing == "checkerboard")
original.paint_checkerboard(rings);
else {
std::cout << "Invalid drawing type!" << std::endl;
exit(1);
}
std::cout << "Saving original image. " << std::endl;
original.save("original.pgm");
std::cout << "Corrupting Image. " << std::endl;
image noisy = original;
if(corruption == "gaussian")
noisy.gaussian_corrupt(sigma);
else if(corruption == "flip")
noisy.flip_corrupt(rings, 0.75);
else if(corruption == "ising")
noisy = image(rows, rows);
else {
std::cout << "Invalid corruption type!" << std::endl;
exit(1);
}
std::cout << "Saving corrupted image. " << std::endl;
noisy.save("corrupted.pgm");
// dummy variables 0 and 1 and num_rings by num_rings
std::cout << "Creating edge factor" << std::endl;
factor_t edge_factor(domain_t(variable_t(0, rings), variable_t(1, rings)));
// Set the smoothing type
if(smoothing == "square") {
edge_factor.set_as_agreement(lambda);
} else if (smoothing == "laplace") {
edge_factor.set_as_laplace(lambda);
} else {
std::cout << "Invalid smoothing stype!" << std::endl;
assert(false);
}
std::cout << edge_factor << std::endl;
std::cout << "Constructing factor graph." << std::endl;
factorized_model model;
// Add all the node factors
double sigmaSq = sigma*sigma;
for(size_t i = 0; i < noisy.rows(); ++i) {
for(size_t j = 0; j < noisy.cols(); ++j) {
// initialize the potential and belief
uint32_t pixel_id = noisy.vertid(i, j);
variable_t var(pixel_id, rings);
factor_t factor(var);
// Set the node potential
double obs = noisy.pixel(i, j);
if(corruption == "gaussian") {
for(size_t pred = 0; pred < rings; ++pred) {
factor.logP(pred) =
-(obs - pred)*(obs - pred) / (2.0 * sigmaSq);
}
} else if(corruption == "flip") {
for(size_t pred = 0; pred < rings; ++pred) {
factor.logP(pred) = obs == pred? 0 : -sigma;
}
} else if(corruption == "ising") {
// Do nothing since we want a uniform node potential
factor.uniform();
} else {
std::cout << "Invalid corruption!" << std::endl;
exit(1);
}
factor.normalize();
model.add_factor(factor);
} // end of for j in cols
} // end of for i in rows
// Construct edge_factors
for(size_t i = 0; i < noisy.rows(); ++i) {
for(size_t j = 0; j < noisy.cols(); ++j) {
size_t source = noisy.vertid(i,j);
variable_t source_var(source, rings);
if(i+1 < noisy.rows()) {
vertex_id_t target = noisy.vertid(i+1, j);
variable_t target_var(target, rings);
domain_t dom(source_var, target_var);
edge_factor.set_args(dom);
model.add_factor(edge_factor);
}
if(j+1 < noisy.cols()) {
vertex_id_t target = noisy.vertid(i, j+1);
variable_t target_var(target, rings);
domain_t dom(source_var, target_var);
edge_factor.set_args(dom);
model.add_factor(edge_factor);
}
} // end of for j in cols
} // end of for i in rows
std::cout << "Saving model in alchemy format" << std::endl;
model.save_alchemy(model_filename + ".alchemy");
return EXIT_SUCCESS;
} // end of main
void IndexPartitionIO::set_domain_global_offset(domain_offset_t global_offset) {
PartitionMetadata pmeta;
pmeta.domain = domain_t(global_offset, 0);
this->set_partition_metadata(pmeta);
}
gf_mesh() : gf_mesh(domain_t(), 0, true){}
