| _ml_numeric_limits< char > | |
| _ml_numeric_limits< int > | |
| _ml_numeric_limits< long > | |
| _ml_numeric_limits< long long > | |
| _ml_numeric_limits< short > | |
| _ml_numeric_limits< signed char > | |
| _ml_numeric_limits< unsigned char > | |
| _ml_numeric_limits< unsigned int > | |
| _ml_numeric_limits< unsigned long > | |
| _ml_numeric_limits< unsigned long long > | |
| _ml_numeric_limits< unsigned short > | |
| _MLIntegerRangeCheck< false, false, Target, Source > | |
| _MLIntegerRangeCheck< false, true, Target, Source > | |
| _MLIntegerRangeCheck< true, false, Target, Source > | |
| _MLIntegerRangeCheck< true, true, Target, Source > | |
| ml::AbstractPersistenceInputStream | Class for reading object data from a stream |
| ml::AbstractPersistenceOutputStream | Class for writing object data to a stream |
| ml::AbstractPersistenceStream | AbstactPersistenceStream is the base class for AbstractPersistenceOutputStream and AbstractPersistenceInputStream and implements the methods that are common for both these classes |
| ml::ApplicationProperties | Static class that defines an interface to access properties of the host application |
| ml::ArgumentList0 | Empty argument to allow running with 0 arguments |
| ml::ArgumentList1< Arg1 > | ArgumentList with 1 argument |
| ml::ArgumentList2< Arg1, Arg2 > | ArgumentList with 2 arguments |
| ml::ArgumentList3< Arg1, Arg2, Arg3 > | ArgumentList with 3 arguments |
| ml::ArgumentList4< Arg1, Arg2, Arg3, Arg4 > | ArgumentList with 4 arguments |
| ml::ArgumentList5< Arg1, Arg2, Arg3, Arg4, Arg5 > | ArgumentList with 5 arguments |
| ml::Barrier | A barrier class that handles synchronization of multiple threads Thread-safety: This class is thread-safe |
| ml::Base | Class representing general ML objects that support import/export via strings (setPersistentState() and getPersistentState()), arbitrary tree structures (using addStateToTree() and readStateFromTree()) or a data stream (using writeTo() and readFrom()) |
| ml::BaseEvent | BaseEvent is the base class for all events emitted from EventSourceBase |
| ml::BaseField | Field to encapsulate a pointer to an ML base object |
| ml::BaseOp | |
| ml::BoolField | Field to encapsulate a boolean value |
| ml::CalculateOutputImageHandler | Base class for the calculation of pages of an output image (PagedImage) of a Module |
| ml::ColorField | Field to encapsulate a vector of 3 float values representing an (rgb) color with all properties of Vector3Field |
| ml::CompilerInfo | |
| ml::ComplexTypes | |
| ml::ComputerModelInfo | |
| ml::ConstTSubImageCursor< DATATYPE > | Cursor to access const data of a TSubImage |
| ml::CPUInfo | Singleton class that provides hardware specific information |
| ml::DataTypeSelector< dataTypeId > | Helper template so select a data type from its type id |
| ml::DateTime | Class for performing date/time arithmetics, comparisons and formatting |
| ml::DefaultExtendedTypes | |
| ml::DefaultTypes | |
| ml::DoubleField | Field to encapsulate a double value |
| ml::DummyOp | Dummy input operator with one pixel of value 0 in it |
| ml::Engine | Base class for all ML Engines which are derived from Module, which have no inputs or outputs and which implements field connections or operations on fields |
| ml::EnumField | Field to encapsulate an enumerated value |
| ml::ErrorOutput | Class to handle all ML debug prints, errors, warnings, and information |
| ml::ErrorOutputInfos | Struct which contains all information about errors, fatal errors, warnings, information or debug prints |
| ml::EventSource | EventSourceBase class adds event listener handling to Base |
| ml::EventSourceDeletedEvent | EventSourceRemovedEvent is used to indicate when the EventSourceBase object is removed |
| ml::Field | Base class for all fields used in the ML |
| ml::FieldContainer | Defines the class FieldContainer to encapsulate a vector of fields for (see class Field) |
| ml::FieldSensor | Class to define and to manage field sensors |
| ml::Field::Flags | Flags for internal usage |
| ml::FloatField | Field to encapsulate a float value |
| ml::FloatingPointMatrix< VectorT, size > | Base class of all matrix classes which holds the data buffer and provides some general access methods |
| ml::FloatingPointVector< T, size, DataContainer > | Template class for vector arithmetic with floating point data types |
| ml::FloatingPointVectorDataContainerBase< DT, size > | Base class of the FloatingPointVector class which holds the data buffer |
| ml::FloatTypes | |
| ml::GetTileJob | Public interface for requesting a tile from a an ML PagedImage using the PageRequestProcessor |
| ml::GetTileJobBase | Base class for TileRequest based jobs |
| ml::GPUInfo | Singleton class that provides hardware specific information |
| ml::Host | The Host is the central image processing class in the ML |
| ml::ImageProperties | This class represents basic image properties: |
| ml::ImagePropertyExtension | Base class from which one can derive own image properties |
| ml::ImagePropertyExtensionContainer | This class is a container for extended image properties derived from ImagePropertyExtension |
| ml::ImageVectorField | Field to encapsulate an ML vector ImageVector with 6 integer components |
| ml::InputConnector | Class to manage an input connection of a Module module |
| ml::InputConnectorField | Field to encapsulate a pointer to an input connector which represents a module input |
| ml::InputSubImageProperties | Defines the class InputSubImageProperties which is a simple container for some properties which can be defined for an input subimage which is to be delivered to the corresponding call of the module's calculateOutputSubImage method |
| ml::IntegerTypes | |
| ml::IntField | Field to encapsulate an integer value |
| ml::Line | Class to define the geometry primitive "Line" consisting of a position and a direction |
| ml::LongDoubleField | Field to encapsulate a long double value |
| ml::Matrix2Field | Field encapsulating a 2x2 matrix |
| ml::Matrix3Field | Field encapsulating a 3x3 matrix |
| ml::Matrix4Field | Field to encapsulate a 4x4 matrix |
| ml::Matrix5Field | Field encapsulating a 5x5 matrix |
| ml::Matrix6Field | Field encapsulating a 6x6 matrix |
| ml::MatrixField | Field to encapsulate a 4x4 matrix, same as Matrix4Field for backward compatibility |
| ml::MedicalImageProperties | This class encapsulates basic medical image properties: |
| ml::Memory | Basic memory management class for the ML |
| ml::MemoryInfo | Singleton class that provides hardware specific information |
| MLApplicationPropertyCallbacks | Defines all callbacks that an application has to support for property access |
| ml::MLDataTypeField | Field to encapsulate an MLDataType value |
| MLMemoryAllocator | The memory allocator used by the memory manager |
| MLMemoryBlockHandle | The strong handle of a MLMemoryBlock |
| MLMemoryManager | The memory manager |
| ml::MLTStdTypeInfos< VTYP > | Template class to register the standard integer classes as voxel types in the ML |
| MLTypeInfos | Structure containing all data type features and pointers to all functions needed to implement operations on any extended type |
| MLWeakMemoryBlockHandle | The weak handle of a MLMemoryBlock |
| ml::Module | Base class for an image processing module of the ML |
| ml::ModuleTools | Class containing some helper functionality for Module programming and/or for the Module class itself |
| ml::Notify | Class to handle all ML Notify prints, errors and warnings |
| ml::NotifyField | Field without value for notifications |
| ml::OutputConnector | Class to manage an output connection for a Module module |
| ml::OutputConnectorField | Field to encapsulate a pointer to an output connector which represents a module output |
| ml::PageIDIterator | A class that allows to incrementally iterate over all ids of pages have an intersection with a given box on a given PagedImage |
| ml::PageRequest | A PageRequest represents the request for the calculation of a single page of a PagedImage |
| ml::PageRequestProcessor | A simple processor that takes one or even multiple tile requests and can process them iteratively |
| ml::PageRequestQueueInterface | Virtual interface for queuing PageRequests that are ready for processing |
| ml::PersistenceStreamException | This class represents the exceptions that can be thrown while reading from or writing to the persistence stream |
| ml::PersistenceStreamFormatException | Derived class |
| ml::PersistenceStreamInternalError | Derived class. This exception usually denotes programming errors |
| ml::PersistenceStreamIOException | Derived class |
| ml::Plane | Class defining a plane in 3D |
| ml::PlaneField | Field to encapsulate a vector of 4 double values representing a plane with all properties of Vector4Field |
| ml::PointerField | Field to encapsulate a void pointer to arbitrary data |
| ml::ProcessAllPagesHandler | Base class for handlers that are used for the Module::processAllPages facility |
| ml::ProcessAllPagesJob | Public interface for processing all pages of a temporary output image |
| ml::ProgressField | Field to encapsulate an increasing float value from range [0,1] |
| ml::RefCountedBase | RefCountedBase class adds intrusive reference counting support to the Base class |
| ml::Rotation | Class to handle Rotations (internally the rotation is stored as a quaternion) |
| ml::RotationField | Field to encapsulate a vector of 4 double values representing a rotation with all properties of Vector4Field |
| ml::Runtime | This class contains the runtime system of the ML |
| ml::RuntimeDict | This file declares the class RuntimeDict, which manages a set of instances of class RuntimeTypes |
| ml::RuntimeType | RuntimeType contains type and inheritance information of a class and a static dictionary with information on all created instances of RuntimeType |
| ml::ScalarAndComplexTypes | |
| ml::ScalarTypes | |
| ml::ScopedBarrierWaiter | A helper class that ensures barrier waiting even when an exception occurs |
| ml::SoNodeField | Field to encapsulate a pointer to an SoNode instance of OpenInventor |
| ml::StringConversion | The class StringConversion provides static methods to convert ML objects to and from strings |
| ml::StringField | Field to encapsulate a string value |
| ml::SubImage | This class manages/represents a rectangular 6d image region which is organized linearly in memory |
| ml::SubImageBoxd | SubImageBoxd - SubImageBox with coordinates of float data type |
| ml::SubImageBoxdField | Field to encapsulate an ML double SubimgBox |
| ml::SubImageBoxField | Field to encapsulate an ML integer SubimgBox |
| OverloadSelector::SwitchType< b > | Helper types to switch between implementations of functions by overloading |
| ml::TImageVector< CompIntType > | ImageVector is the 6D TVector specialization used by the ML for all image indexing |
| ml::TimeCounter | Class to measure precise time intervals |
| ml::Tmat2< DT > | A two by two matrix class consisting of 2 row vectors |
| ml::Tmat3< DT > | A three by three matrix class of three row vectors |
| ml::Tmat4< DT > | A four by four matrix class consisting of 4 row vectors |
| ml::Tmat5< DT > | A five by five matrix class of five row vectors |
| ml::Tmat6< DT > | A six by six matrix class of six row vectors |
| ml::ToggleField | Field to encapsulate a boolean value as integer |
| ml::TQuaternion< DT > | Implementation of a Quaternion with common operations |
| ml::Trace< INDEXTYPE > | This class simply implements a constructor and a destructor |
| ml::TraceBuffer< INDEXTYPE > | This class manages a list and a stack of pointers to permanent strings |
| ml::TreeNode | The class TreeNode is the abstract base class for the import/export of ML objects |
| ml::TreeNodeException | The class TreeNodeException is the base class for all exceptions thrown by the class TreeNode and all derived classes |
| ml::TScaleShiftData< DT > | Class to define a first order linear transformation |
| ml::TSubImage< DATATYPE > | This template class manages/represents a rectangular 6d image region in memory which is organized linearly |
| ml::TSubImageBox< intT > | This class defines a rectangular subimage region of standard ML dimensions |
| ml::TSubImageCursor< DATATYPE > | Cursor to access data of a TSubImage for reading and writing |
| ml::TSubImageCursorBase< DATATYPE > | Base class for all TSubImage Cursors |
| ml::TSubImageWithCursor< DATATYPE > | A class that offers a TSubImage with a TSubImageCursor |
| ml::Tvec10< DT > | An ten dimensional vector class for floating point types |
| ml::Tvec16< DT > | A 16 dimensional vector class for floating point types |
| ml::Tvec2< DT > | A two dimensional vector class for floating point types |
| ml::Tvec3< DT > | A three dimensional vector class for floating point types |
| ml::Tvec32< DT > | A 32 dimensional vector class for floating point types |
| ml::Tvec4< DT > | A four dimensional vector class for floating point types |
| ml::Tvec5< DT > | A five dimensional vector class for floating point types |
| ml::Tvec6< DT > | A six dimensional vector class for floating point types |
| ml::Tvec64< DT > | A 64 dimensional vector class for floating point types |
| ml::Tvec7< DT > | An seven dimensional vector class for floating point types |
| ml::Tvec8< DT > | An eight dimensional vector class for floating point types |
| ml::Tvec9< DT > | An nine dimensional vector class for floating point types |
| ml::TVector< TVectorBase > | ML integer image vector class to be specialized for different purposes |
| ml::TVector6DBase< CompIntType > | TVector6DBase is the data container class for TVector providing specialized 6D container functionality for vectors of dimension MLMaxImageDimension |
| ml::TVectorNDBase< CompIntType, NumDim > | TVectorNDBase is the data container class for the TVector template providing ND functionality for integer vectors |
| ml::TypedCalculateOutputImageHandler< Derived, NumberOfInputImages, VariableType0, VariableType1, VariableType2, VariableType3 > | TypedCalculateOutputImageHandler can be used as a base class for an own CalculateOutputImageHandler and supports up to 4 variable types |
| ml::internal::TypedHandlerBase< BaseClass, Derived, NumberOfInputImages > | The base class for TypedCalculateOutputImageHandler and TypedProcessAllPagesHandler |
| ml::TypedProcessAllPagesHandler< Derived, NumberOfInputImages, VariableType0, VariableType1, VariableType2, VariableType3 > | TypedProcessAllPagesHandler can be used as a base class for an own ProcessAllPages handler and supports up to 4 type variable types |
| ml::TypeTraits< T > | TypeTraits for scalar ML Datatypes |
| ml::UniversalTypeField | Field to encapsulate any of the registered ML types |
| ml::UserThreadData | Base class for thread local data that is passed to CalculateOutputImageHandler::calculateOutputSubImage |
| ml::VariableType | Base class for all variable types, mainly for doxygen documentation purpose |
| ml::Vector10Field | Field to encapsulate a vector of 10 double values |
| ml::Vector2DataContainer< DT > | Specialized base class for the FloatingPointVectorDataContainerBase |
| ml::Vector2Field | Field to encapsulate a vector of 2 double values |
| ml::Vector3DataContainer< DT > | Specialized base class for the FloatingPointVectorDataContainerBase |
| ml::Vector3Field | Field to encapsulate a vector of 3 double values |
| ml::Vector4Field | Field to encapsulate a vector of 4 double values |
| ml::Vector5Field | Field to encapsulate a vector of 5 double values |
| ml::Vector6Field | Field to encapsulate a vector of 6 double values |
| ml::WaitCondition | WaitCondition implements a wait condition for thread synchronization |
| ml::WMIInterface | Interface to the Windows Management Instrumentation http://msdn.microsoft.com/en-us/library/aa394582.aspx |
1.7.4