本文整理汇总了C++中comma::csv::options::has_field方法的典型用法代码示例。如果您正苦于以下问题：C++ options::has_field方法的具体用法？C++ options::has_field怎么用？C++ options::has_field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comma::csv::options的用法示例。
在下文中一共展示了options::has_field方法的3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: main
//.........这里部分代码省略.........
return 1;
}
verbose = vm.count( "verbose" );
if( verbose )
{
std::cerr << "basler-cat: PYLON_ROOT=" << ::getenv( "PYLON_ROOT" ) << std::endl;
std::cerr << "basler-cat: GENICAM_ROOT_V2_1=" << ::getenv( "GENICAM_ROOT_V2_1" ) << std::endl;
std::cerr << "basler-cat: initializing camera..." << std::endl;
}
Pylon::PylonAutoInitTerm auto_init_term;
Pylon::CTlFactory& factory = Pylon::CTlFactory::GetInstance();
Pylon::ITransportLayer* transport_layer( Pylon::CTlFactory::GetInstance().CreateTl( Pylon::CBaslerGigECamera::DeviceClass() ) );
if( !transport_layer )
{
std::cerr << "basler-cat: failed to create transport layer" << std::endl;
std::cerr << " most likely PYLON_ROOT and GENICAM_ROOT_V2_1 environment variables not set" << std::endl;
std::cerr << " point them to your pylon installation, e.g:" << std::endl;
std::cerr << " export PYLON_ROOT=/opt/pylon" << std::endl;
std::cerr << " export GENICAM_ROOT_V2_1=/opt/pylon/genicam" << std::endl;
return 1;
}
if( vm.count( "list-cameras" ) )
{
Pylon::DeviceInfoList_t devices;
factory.EnumerateDevices( devices );
for( unsigned int i = 0; i < devices.size(); ++i ) { std::cerr << devices[i].GetFullName() << std::endl; }
return 0;
}
timeout = timeout_seconds * 1000.0;
std::string filters = comma::join( boost::program_options::collect_unrecognized( parsed.options, boost::program_options::include_positional ), ';' );
options.header_only = vm.count( "header-only" );
options.no_header = vm.count( "no-header" );
csv = comma::csv::options( argc, argv );
bool chunk_mode = csv.has_field( "counters" ) // quick and dirty
|| csv.has_field( "adjusted-t" )
|| csv.has_field( "line" )
|| csv.has_field( "line-count" )
|| csv.has_field( "ticks" )
|| csv.has_field( "counters/adjusted-t" )
|| csv.has_field( "counters/line" )
|| csv.has_field( "counters/line-count" )
|| csv.has_field( "counters/ticks" );
if( chunk_mode )
{
if( vm.count( "encoder-ticks" ) == 0 ) { std::cerr << "basler-cat: chunk mode, please specify --encoder-ticks" << std::endl; return 1; }
if( !filters.empty() ) { std::cerr << "basler-cat: chunk mode, cannot handle filters; use: basler-cat | cv-cat <filters> instead" << std::endl; return 1; }
if( height != 1 && height != std::numeric_limits< unsigned int >::max() ) { std::cerr << "basler-cat: only --height=1 implemented in chunk mode" << std::endl; return 1; }
height = 1;
std::vector< std::string > v = comma::split( csv.fields, ',' );
std::string format;
for( unsigned int i = 0; i < v.size(); ++i )
{
if( v[i] == "t" ) { v[i] = "header/" + v[i]; format += "t"; }
else if( v[i] == "rows" || v[i] == "cols" || v[i] == "size" || v[i] == "type" ) { v[i] = "header/" + v[i]; format += "ui"; }
else if( v[i] == "adjusted-t" ) { v[i] = "counters/" + v[i]; format += "t"; }
else if( v[i] == "line-count" || v[i] == "ticks" ) { v[i] = "counters/" + v[i]; format += "ul"; }
else if( v[i] == "line" ) { v[i] = "counters/" + v[i]; format += "ui"; }
else { std::cerr << "basler-cat: expected field, got '" << v[i] << "'" << std::endl; return 1; }
}
csv.fields = comma::join( v, ',' );
csv.full_xpath = true;
csv.format( format );
}
if( !vm.count( "buffer" ) && vm.count( "discard" ) ) { discard = 1; }
Pylon::CBaslerGigECamera camera;
if( vm.count( "address" ) )示例2: main
int main( int ac, char** av )
{
int result = 0;
try
{
comma::command_line_options options( ac, av );
if( options.exists( "--help,-h" ) ) { usage(); }
verbose = options.exists( "--verbose,-v" );
csv = comma::csv::options( options, "values" );
csv.full_xpath = true;
row_number_offset = options.value( "--row-number-offset,--offset", 0 );
polar = options.exists( "--polar" );
as_radians = !options.exists( "--degrees" );
clockwise = options.exists( "--clockwise" );
offset_from_center = options.value( "--offset-from-center", 0 ); // quick and dirty
z_up = options.value< std::string >( "--z", "up" ) == "up";
sign = ( z_up && !clockwise ) || ( !z_up && clockwise ) ? 1 : -1;
if( options.exists( "--fps" ) ) { dial_size = options.value( "--dial-size,--dial", 0 ); }
std::string s = options.value< std::string >( "--size" );
std::vector< std::string > v = comma::split( s, ',' );
if( v.size() != 2 && v.size() != 3 ) { std::cerr << "image-accumulate: expected --size=<value>; got \"" << s << "\"" << std::endl; return 1; }
block_size = boost::lexical_cast< unsigned int >( v[0] );
row_size = boost::lexical_cast< unsigned int >( v[1] );
scale = comma::csv::ascii< std::pair< double, double > >().get( options.value< std::string >( "--scale", "0,255" ) );
scaled< unsigned char > scaled( scale );
fps = options.optional< double >( "--fps" );
sin_cos = precomputed_sin_cos_();
channel::options default_channel_options( options );
std::vector< channel::options > channel_options;
if( csv.has_field( "id" ) )
{
const std::vector< std::string >& v = options.values< std::string >( "--id" );
if( v.empty() ) { std::cerr << "image-accumulate: 'id' field given, please specify at least one --id" << std::endl; return 1; }
for( unsigned int i = 0; i < v.size(); ++i )
{
channel_options.push_back( comma::name_value::parser( ';', '=' ).get< channel::options >( v[i], default_channel_options ) );
ids[ boost::lexical_cast< unsigned int >( comma::split( v[i], ';' )[0] ) ] = i;
}
}
else
{
ids[0] = 0;
channel_options.push_back( default_channel_options );
}
in.values.resize( row_size );
has_block = csv.has_field( "block" );
has_row = csv.has_field( "row" );
has_angle = csv.has_field( "angle" );
if( has_row && has_angle ) { std::cerr << "image-accumulate: in input fields, expected either 'row' or 'angle'; got both" << std::endl; return 1; }
comma::csv::input_stream< input > istream( std::cin, csv, in ); // todo: watch performance!
std::string default_output_options = "no-header;rows=" + boost::lexical_cast< std::string >( polar ? row_size * 2 + 1 : block_size ) + ";cols=" + boost::lexical_cast< std::string >( polar ? ( row_size * 2 + 1 ) * ids.size() : row_size * ids.size() ) + ";type=3ub";
std::string output_options_string = options.value( "--output", default_output_options );
output_options = comma::name_value::parser( ';', '=' ).get< snark::cv_mat::serialization::options >( output_options_string );
if( options.exists( "--output-options" ) ) { std::cout << comma::name_value::parser( ';', '=' ).put< snark::cv_mat::serialization::options >( output_options ) << std::endl; return 0; }
serialization.reset( new snark::cv_mat::serialization( output_options ) );
image = cv::Mat::zeros( block_size, row_size * ids.size(), output_options.get_header().type );
pixel_size = output_options.get_header().type == CV_8UC3 ? 3 : 1; // quick and dirty
boost::ptr_vector< channel > channels;
for( unsigned int i = 0; i < ids.size(); ++i ) { channels.push_back( new channel( i, channel_options[i] ) ); }
if( fps ) { output_thread.reset( new boost::thread( &output_ ) ); }
while( !is_shutdown && std::cin.good() && !std::cin.eof() )
{
const input* p = istream.read();
if( p )
{
Ids::const_iterator it = ids.find( p->id );
if( it == ids.end() ) { continue; }
if( !channels[ it->second ].draw( p ) ) { break; }
}
else
{
for( Ids::const_iterator it = ids.begin(); it != ids.end(); ++it )
{
channels[ it->second ].draw( p );
}
break;
}
}
}
catch( std::exception& ex )
{
std::cerr << "image-accumulate: " << ex.what() << std::endl;
result = 1;
}
catch( ... )
{
std::cerr << "image-accumulate: unknown exception" << std::endl;
result = 1;
}
done = true;
if( fps ) { output_thread->join(); }
return result;
}示例3: main
int main( int ac, char** av )
{
try
{
comma::command_line_options options( ac, av );
verbose = options.exists( "--verbose,-v" );
if( options.exists( "--help,-h" ) ) { usage( verbose ); }
csv = comma::csv::options( options );
csv.full_xpath = true;
ascii = comma::csv::ascii< Eigen::Vector3d >( "x,y,z", csv.delimiter );
const std::vector< std::string >& operations = options.unnamed( "--verbose,-v,--trace,--no-antialiasing,--next,--unit", "-.*" );
if( operations.size() != 1 ) { std::cerr << "points-calc: expected one operation, got " << operations.size() << ": " << comma::join( operations, ' ' ) << std::endl; return 1; }
const std::string& operation = operations[0];
if (vector_calc::has_operation(operation))
{
vector_calc::process(operation, options, csv);
return 0;
}
if( operation == "plane-intersection" )
{
plane_intersection::process(options, csv);
return 0;
}
if( operation == "distance" )
{
if( csv.has_field( "first" ) || csv.has_field( "second" )
|| csv.has_field( "first/x" ) || csv.has_field( "second/x" )
|| csv.has_field( "first/y" ) || csv.has_field( "second/y" )
|| csv.has_field( "first/z" ) || csv.has_field( "second/z" ) )
{
calculate_distance_for_pairs();
return 0;
}
if ( options.exists( "--next" ) ) { calculate_distance_next(); }
else { calculate_distance( false ); }
return 0;
}
if( operation == "cumulative-distance" )
{
calculate_distance( true );
return 0;
}
if( operation == "nearest" )
{
if( options.exists( "--point,--to" ) )
{
Eigen::Vector3d point = comma::csv::ascii< Eigen::Vector3d >().get( options.value< std::string >( "--point,--to" ) );
comma::csv::input_stream< Eigen::Vector3d > istream( std::cin, csv );
std::string record;
double min_distance = std::numeric_limits< double >::max();
while( istream.ready() || ( std::cin.good() && !std::cin.eof() ) )
{
const Eigen::Vector3d* p = istream.read();
if( !p ) { break; }
double d = ( *p - point ).norm();
if( d >= min_distance ) { continue; }
min_distance = d;
record = csv.binary() ? std::string( istream.binary().last(), csv.format().size() ) : comma::join( istream.ascii().last(), csv.delimiter );
}
if( !record.empty() ) { std::cout << record; }
if( csv.binary() ) { std::cout.write( reinterpret_cast< const char* >( &min_distance ), sizeof( double ) ); }
else { std::cout << csv.delimiter << min_distance << std::endl; }
return 0;
}
else
{
return 0;
}
}
if( operation == "thin" )
{
if( !options.exists( "--resolution" ) ) { std::cerr << "points-calc: --resolution is not specified " << std::endl; return 1; }
double resolution = options.value( "--resolution" , 0.0 );
thin( resolution );
return 0;
}
if( operation == "discretise" || operation == "discretize" )
{
if( !options.exists( "--step" ) ) { std::cerr << "points-calc: --step is not specified " << std::endl; return 1; }
double step = options.value( "--step" , 0.0 );
if( step <= 0 ) { std::cerr << "points-calc: expected positive step, got " << step << std::endl; return 1; }
// the last discretised point can be very close to the end of the interval, in which case the last two points can be identical in the output since ascii.put uses 12 digits by default
// setting --tolerance=1e-12 will not allow the last discretised point to be too close to the end of the interval and therefore the output will have two distinct points at the end
double tolerance = options.value( "--tolerance" , 0.0 );
if( tolerance < 0 ) { std::cerr << "points-calc: expected non-negative tolerance, got " << tolerance << std::endl; return 1; }
discretise( step, tolerance );
return 0;
}
if( operation == "local-max" || operation == "local-min" ) // todo: if( operation == "local-calc" ? )
{
double sign = operation == "local-max" ? 1 : -1;
if( csv.fields.empty() ) { csv.fields = "x,y,z,scalar"; }
csv.full_xpath = false;
bool has_id = csv.has_field( "id" );
comma::csv::input_stream< local_operation::point > istream( std::cin, csv );
std::deque< local_operation::record > records;
double radius = options.value< double >( "--radius" );
bool trace = options.exists( "--trace" );
Eigen::Vector3d resolution( radius, radius, radius );
//.........这里部分代码省略.........