本文整理汇总了C++中blitz::Array::reference方法的典型用法代码示例。如果您正苦于以下问题：C++ Array::reference方法的具体用法？C++ Array::reference怎么用？C++ Array::reference使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类blitz::Array的用法示例。
在下文中一共展示了Array::reference方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: free_array
void free_array(blitz::Array<T, len> &array)
{
array.reference(blitz::Array<T,len>(0, blitz::shape(0), blitz::neverDeleteData));
}示例2: main
int main( int argc, char **argv)
{
std::string inpf, trif, outf, backf;
adobe::dictionary_t params;
bool use_lab = false;
try
{
po::options_description desc("Allowed options");
po::variables_map vm;
po::positional_options_description p;
p.add( "input" , 1);
p.add( "trimap", 1);
desc.add_options() ("help", "produce help message")
// files
("input", po::value<std::string>(), "input file")
("trimap",po::value<std::string>(), "trimap file")
("output,o", po::value<std::string>(), "output file")
("background,bg", po::value<std::string>(), "clean background")
("save_bg", "save estimated background")
// colors
("rgb", "use rgb colorspace")
// sampling
("kwin", po::value<int>()->default_value( 8), "known window radius")
("uwin", po::value<int>()->default_value( 8), "unknown window radius")
("mins", po::value<int>()->default_value( 16), "min samples")
// clusters
("clusters", po::value<int>()->default_value( 5), "max number of clusters")
("ctheresh", po::value<double>()->default_value( 0.001), "cluster thereshold")
// optimize
("cvar", po::value<double>()->default_value( 0.04), "camera variance")
// gui
("window,w", "show results in a window")
; // end
po::store( po::command_line_parser( argc, argv).options( desc).positional( p).run(), vm);
po::notify( vm);
if( vm.count( "help") || !vm.count("input") || !vm.count("trimap"))
usage();
if( (!vm.count("output")) && (!vm.count("window")))
usage();
inpf = vm["input"].as<std::string>();
trif = vm["trimap"].as<std::string>();
if( vm.count("output"))
outf = vm["output"].as<std::string>();
use_lab = !vm.count("rgb");
params[adobe::name_t("use_lab")] = adobe::any_regular_t( use_lab);
// load images
image.reference( read_image( inpf.c_str()));
trimap.reference( read_trimap( trif.c_str()));
if( (trimap.rows() != image.rows()) || (trimap.cols() != image.cols()))
{
std::cout << "Image & trimap dimensions don't match\n";
exit( boost::exit_failure);
}
if( use_lab)
convert2lab( image);
if( vm.count( "background"))
{
backf = vm["background"].as<std::string>();
params[adobe::name_t("use_back")] = adobe::any_regular_t( true);
bg.reference( read_image( backf.c_str()));
if( use_lab)
convert2lab( bg);
}
else
{
bg.resize( image.rows(), image.cols());
params[adobe::name_t("use_back")] = adobe::any_regular_t( false);
}
// sampling
params[ adobe::name_t( "kwin_size")] = adobe::any_regular_t( vm["kwin"].as<int>());
params[ adobe::name_t( "uwin_size")] = adobe::any_regular_t( vm["uwin"].as<int>());
params[ adobe::name_t( "min_samples")] = adobe::any_regular_t( vm["mins"].as<int>());
// cluster
params[ adobe::name_t( "maxk")] = adobe::any_regular_t( vm["clusters"].as<int>());
params[ adobe::name_t( "ctheresh")] = adobe::any_regular_t( vm["ctheresh"].as<double>());
//.........这里部分代码省略.........