Main documentation file for ML users and developers. More...

Namespaces
	detail

	internal

	library

	ScopeGuardDetail

	taskSystem

	TypedProcessing

	Unicode

	ValuePersistence

Classes
class	ClassicHost
	Classic ML host used internally to calculate getTile and processAllPages requests. More...

class	GetTileJobBase
	Base class for TileRequest based jobs. More...

class	GetTileJob
	Public interface for requesting a tile from a an ML PagedImage using the PageRequestProcessor. More...

class	MultiThreadedPageRequestProcessor
	A multi-threaded processor that takes one or even multiple tile requests and can process them iteratively. More...

class	PageRequest
	A PageRequest represents the request for the calculation of a single page of a PagedImage. More...

class	PageRequestCursor
	A cursor to create page and tile requests in an iterative manner, to allow breaking/resuming at any time and to avoid a recursive tree traversal which can not be easily resumed. More...

class	PageRequestQueueInterface
	Virtual interface for queuing PageRequests that are ready for processing. More...

class	PageRequestProcessor
	Abstract base class for page request processors. More...

class	PageRequestProcessorBase
	Base class for single and multi-threaded processor. More...

class	ProcessAllPagesJob
	Public interface for processing all pages of a temporary output image. More...

class	ProcessingTimeLine
	Stores a processing time line for multiple threads. More...

class	SingleThreadedPageRequestProcessor
	A single-threaded processor that takes one or even multiple tile requests and can process them iteratively. More...

class	TileRequest
	A TileRequest either represents the input sub image that is needed by a PageRequest or if it is a root TileRequest, it represents the request by a user to get that tile. More...

class	OutputConnector
	Class to manage an output connection for a Module module. More...

class	InputConnector
	Class to manage an input connection of a Module module. More...

class	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. More...

class	Field
	Base class for all fields used in the ML. More...

class	FieldContainer
	Defines the class FieldContainer to encapsulate a vector of fields for (see class Field). More...

class	BoolField
	Field to encapsulate a boolean value. More...

class	IntField
	Field to encapsulate an integer value. More...

class	EnumField
	Field to encapsulate an enumerated value. More...

class	EnumValues
	Helper class that stores a list of typed enum values and their string names. More...

class	TypedEnumField
	TypedEnumField is used to encapsulate a C++ enum value and work with a real enum value instead of int. More...

class	FloatField
	Field to encapsulate a float value. More...

class	ProgressField
	Field to encapsulate an increasing float value from range [0,1]. More...

class	DoubleField
	Field to encapsulate a double value. More...

class	StringField
	Field to encapsulate a string value. More...

class	NotifyField
	Field without value for notifications. More...

class	OutputConnectorField
	Field to encapsulate a pointer to an output connector which represents a module output. More...

class	InputConnectorField
	Field to encapsulate a pointer to an input connector which represents a module input. More...

class	BaseField
	Field to encapsulate a pointer to an ML base object. More...

class	TypedBaseField
	Templated version of BaseField which only stores the template type as pointer. More...

class	SoNodeField
	Field to encapsulate a pointer to an SoNode instance of OpenInventor. More...

class	PointerField
	Field to encapsulate a void pointer to arbitrary data. More...

class	Vector2Field
	Field to encapsulate a vector of 2 double values. More...

class	Vector3Field
	Field to encapsulate a vector of 3 double values. More...

class	Vector4Field
	Field to encapsulate a vector of 4 double values. More...

class	Vector5Field
	Field to encapsulate a vector of 5 double values. More...

class	Vector6Field
	Field to encapsulate a vector of 6 double values. More...

class	Vector10Field
	Field to encapsulate a vector of 10 double values. More...

class	ColorField
	Field to encapsulate a vector of 3 float values representing an (rgb) color with all properties of Vector3Field. More...

class	Matrix2Field
	Field encapsulating a 2x2 matrix. More...

class	Matrix3Field
	Field encapsulating a 3x3 matrix. More...

class	MatrixField
	Field to encapsulate a 4x4 matrix, same as Matrix4Field for backward compatibility. More...

class	Matrix4Field
	Field to encapsulate a 4x4 matrix. More...

class	Matrix5Field
	Field encapsulating a 5x5 matrix. More...

class	Matrix6Field
	Field encapsulating a 6x6 matrix. More...

class	MLDataTypeField
	Field to encapsulate an MLDataType value. More...

class	ImageVectorField
	Field to encapsulate an ML vector ImageVector with 6 integer components. More...

class	SubImageBoxField
	Field to encapsulate an ML integer SubimgBox. More...

class	SubImageBoxdField
	Field to encapsulate an ML double SubimgBox. More...

class	UniversalTypeField
	Field to encapsulate any of the registered ML types. More...

class	RotationField
	Field to encapsulate a vector of 4 double values representing a rotation with all properties of Vector4Field. More...

class	PlaneField
	Field to encapsulate a vector of 4 double values representing a plane with all properties of Vector4Field. More...

class	FieldSensor
	Class to define and to manage field sensors. More...

class	Host
	The Host is the central image processing class in the ML. More...

class	ImageProperties
	This class represents basic image properties: More...

class	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. More...

class	ListField

class	IntListField

class	DoubleListField

class	Vector2ListField

class	Vector3ListField

class	Vector4ListField

class	MedicalImageProperties
	This class encapsulates basic medical image properties: More...

class	MemoryImage
	A memory cache for the complete output image of an output connector. More...

class	Module
	Base class for an image processing module of the ML. More...

class	ModuleDiagnosisStackScope

class	UserThreadData
	Base class for thread local data that is passed to CalculateOutputImageHandler::calculateOutputSubImage. More...

class	CalculateOutputImageHandler
	Base class for the calculation of pages of an output image (PagedImage) of a Module. More...

class	ModuleTools
	Class containing some helper functionality for Module programming and/or for the Module class itself. More...

class	PagedImage
	Class which represents an image, which manages properties of an image and image data which is located in pages. More...

class	PageIDIterator
	A class that allows to incrementally iterate over all ids of pages have an intersection with a given box on a given PagedImage. More...

class	ProcessAllPagesHandler
	Base class for handlers that are used for the Module::processAllPages facility. More...

class	OrderedSingleInputProcessAllPagesHandler
	A ProcessAllPages handler that offers ordered tile delivery on a single input image. More...

class	OrderedProcessAllPagesHandler
	A ProcessAllPages handler that offers ordered tile delivery on any number of input images. More...

class	TScaleShiftData
	Class to define a first order linear transformation. More...

class	MLTStdTypeInfos
	Template class to register the standard integer classes as voxel types in the ML. More...

class	StringConversion
	The class StringConversion provides static methods to convert ML objects to and from strings. More...

class	SubImage
	This class manages/represents a rectangular 6d image region which is organized linearly in memory. More...

class	TSubImageBox
	This class defines a rectangular subimage region of standard ML dimensions. More...

class	SubImageBoxd
	SubImageBoxd - SubImageBox with coordinates of float data type. More...

class	TreeNodeException
	The class TreeNodeException is the base class for all exceptions thrown by the class TreeNode and all derived classes. More...

class	TreeNode
	The class TreeNode is the abstract base class for the import/export of ML objects. More...

class	TSubImageCursor
	Predeclaration for cursor. More...

class	ConstTSubImageCursor
	Predeclaration for const cursor. More...

class	TSubImage
	This template class manages/represents a rectangular 6d image region in memory which is organized linearly. More...

class	TSubImageCursorBase
	Base class for all TSubImage Cursors. More...

class	TSubImageWithCursor
	A class that offers a TSubImage with a TSubImageCursor. More...

class	VariableType
	Base class for all variable types, mainly for doxygen documentation purpose. More...

class	TypedProcessAllPagesHandler
	TypedProcessAllPagesHandler can be used as a base class for an own ProcessAllPages handler and supports up to 4 type variable types. More...

class	TypedCalculateOutputImageHandler
	TypedCalculateOutputImageHandler can be used as a base class for an own CalculateOutputImageHandler and supports up to 4 variable types. More...

struct	TypeTraits
	TypeTraits for scalar ML Datatypes. More...

struct	DataTypeSelector
	Helper template so select a data type from its type id. More...

class	TQuaternion
	Declaration of complex type traits: More...

class	Tvec2
	Declaration of float vector type traits: More...

class	Tvec3
	Forward declarations to resolve header file dependencies. More...

class	Tvec4
	Forward declarations to resolve header file dependencies. More...

class	Tvec5
	Forward declarations to resolve header file dependencies. More...

class	Tvec6
	A six dimensional vector class for floating point types. More...

class	Tvec7
	An seven dimensional vector class for floating point types. More...

class	Tvec8
	An eight dimensional vector class for floating point types. More...

class	Tvec9
	An nine dimensional vector class for floating point types. More...

class	Tvec10
	An ten dimensional vector class for floating point types. More...

class	Tvec16
	A 16 dimensional vector class for floating point types. More...

class	Tvec32
	A 32 dimensional vector class for floating point types. More...

class	Tvec64
	A 64 dimensional vector class for floating point types. More...

class	Tmat2
	Declaration of matrix type traits: More...

class	Tmat3
	A three by three matrix class of three row vectors. More...

class	Tmat4
	A four by four matrix class consisting of 4 row vectors. More...

class	Tmat5
	A five by five matrix class of five row vectors. More...

class	Tmat6
	A six by six matrix class of six row vectors. More...

class	TVectorNDBase
	Declaration of integer vector type traits: More...

class	FloatingPointVector
	Template class for vector arithmetic with floating point data types. More...

class	FloatingPointMatrix
	Base class of all matrix classes which holds the data buffer and provides some general access methods. More...

class	AbstractPersistenceStream
	AbstactPersistenceStream is the base class for AbstractPersistenceOutputStream and AbstractPersistenceInputStream and implements the methods that are common for both these classes. More...

class	AbstractPersistenceOutputStream
	Class for writing object data to a stream. More...

class	AbstractPersistenceInputStream
	Class for reading object data from a stream. More...

class	PersistenceStreamException
	This class represents the exceptions that can be thrown while reading from or writing to the persistence stream. More...

class	PersistenceStreamIOException
	Derived class. More...

class	PersistenceStreamFormatException
	Derived class. More...

class	PersistenceStreamInternalError
	Derived class. This exception usually denotes programming errors. More...

class	ApplicationProperties
	Static class that defines an interface to access properties of the host application. More...

struct	ArgumentList0
	Empty argument to allow running with 0 arguments. More...

struct	ArgumentList1
	ArgumentList with 1 argument. More...

struct	ArgumentList2
	ArgumentList with 2 arguments. More...

struct	ArgumentList3
	ArgumentList with 3 arguments. More...

struct	ArgumentList4
	ArgumentList with 4 arguments. More...

struct	ArgumentList5
	ArgumentList with 5 arguments. More...

class	Barrier
	A barrier class that handles synchronization of multiple threads Thread-safety: This class is thread-safe. More...

class	ScopedBarrierWaiter
	A helper class that ensures barrier waiting even when an exception occurs. More...

class	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()). More...

class	CompilerInfo

class	ComputerModelInfo

class	ConstantStringValue
	Shared container for the string value and its hash. More...

class	ConstantString
	A ConstantString which contains a std::string and its hash. More...

struct	Is
	In combination with the in function it returns true, if a passed values is one of a set of possible values. More...

class	ContainerProxy
	This template implements a proxy for container that contain a collection of items that are normally accessed with a get by index method. More...

struct	tree_node

class	CPUInfo
	Singleton class that provides hardware specific information. More...

class	DateTime
	Class for performing date/time arithmetic, comparisons and formatting. More...

class	ErrorOutput
	Class to handle all ML debug prints, errors, warnings, and information. More...

class	ErrorOutputInfos
	Struct which contains all information about errors, fatal errors, warnings, information or debug prints. More...

class	EventSource
	EventSourceBase class adds event listener handling to Base. More...

class	BaseEvent
	BaseEvent is the base class for all events emitted from EventSourceBase. More...

class	EventSourceDeletedEvent
	EventSourceRemovedEvent is used to indicate when the EventSourceBase object is removed. More...

class	ImagePropertyExtension
	Base class from which one can derive own image properties. More...

class	ImagePropertyExtensionContainer
	This class is a container for extended image properties derived from ImagePropertyExtension. More...

class	Memory
	Basic memory management class for the ML. More...

class	MemoryInfo
	Singleton class that provides hardware specific information. More...

class	Notify
	Class to handle all ML Notify prints, errors and warnings. More...

class	RefCountedBase
	RefCountedBase class adds intrusive reference counting support to the Base class. More...

class	Runtime
	This class contains the runtime system of the ML. More...

class	RuntimeDict
	This file declares the class RuntimeDict, which manages a set of instances of class `RuntimeTypes`. More...

class	RuntimeType
	RuntimeType contains type and inheritance information of a class and a static dictionary with information on all created instances of RuntimeType. More...

class	StringSwitch

struct	Overload

class	TimeCounter
	Class to measure precise time intervals. More...

class	TraceBuffer
	This class manages a list and a stack of pointers to permanent strings. More...

class	Trace
	This class simply implements a constructor and a destructor. More...

class	WaitCondition
	WaitCondition implements a wait condition for thread synchronization. More...

class	WMIInterface
	Interface to the Windows Management Instrumentation http://msdn.microsoft.com/en-us/library/aa394582.aspx. More...

class	FloatingPointVectorDataContainerBase
	Base class of the FloatingPointVector class which holds the data buffer. More...

class	TVector6DBase
	TVector6DBase is the data container class for TVector providing specialized 6D container functionality for vectors of dimension MLMaxImageDimension. More...

class	TImageVector
	ImageVector is the 6D TVector specialization used by the ML for all image indexing. More...

class	TVector
	ML integer image vector class to be specialized for different purposes. More...

class	Line
	Class to define the geometry primitive "Line" consisting of a position and a direction. More...

class	Plane
	Class defining a plane in 3D. More...

class	Rotation
	Class to handle Rotations (internally the rotation is stored as a unit quaternion) More...

class	Vector2DataContainer
	Specialized base class for the FloatingPointVectorDataContainerBase. More...

class	Vector3DataContainer
	Specialized base class for the FloatingPointVectorDataContainerBase. More...

Typedefs
typedef void	TileRequestFinishedCB(void data, TileRequest request)
	Callback for a finished TileRequest. More...

typedef NotifyField	TriggerField
	TriggerField is an alias for the NotifyField, which is easier to find for Open Inventor users which are used to the "SoSFTrigger" field. More...

typedef void	CalculateOutputImagePropertiesCB(void userData, PagedImage outImage)
	Callback for the calculation of the output image properties for `outputImage`. More...

typedef TScaleShiftData< MLdouble >	ScaleShiftData
	Double version of TScaleShiftData for maximum reasonable precision. More...

typedef TSubImageBox< MLint >	SubImageBox
	Define the standard SubImageBox type used in the ML. Its size varies with the size of the MLint type. More...

using	AtomicCounter = std::atomic_int32_t
	AtomicCounter is a thread-safe integer counter. More...

typedef void	BaseEventCallback(void , BaseEvent )

typedef std::vector< ImagePropertyExtension * >	ImagePropertyExtensionVector
	Define the STL container type of ImagePropertyExtension objects. More...

typedef boost::recursive_mutex	RecursiveMutex
	Defines a recursive mutex. More...

typedef boost::recursive_mutex::scoped_lock	RecursiveLock
	Defines a lock for locking a recursive mutex. More...

typedef boost::mutex	Mutex
	Defines a non-recursive mutex. More...

typedef boost::mutex::scoped_lock	Lock
	Defines a lock for locking a non-recursive mutex. More...

using	low_executor = detail::executor< execute_low >

using	default_executor = detail::executor< execute_default >

using	high_executor = detail::executor< execute_high >

template<template< class... > class Op, class... Args>
using	is_detected = typename internal::detector< internal::nonesuch, void, Op, Args... >::value_t

template<template< class... > class Op, class... Args>
using	detected_t = typename internal::detector< internal::nonesuch, void, Op, Args... >::type

typedef boost::thread	Thread

typedef MLuint16	MLGlobalTraceBufferType
	The type used in the MLGlobalTraceBuffer. More...

typedef TImageVector< MLint >	ImageVector
	Defines the standard ImageVector type which is used by the ML for indexing and coordinates. More...

typedef int	VectorDimIdxType
	Signed integer type used as count and index type to traverse the array of the TVector. More...

Deprecated
Deprecated: Use Matrix5Field instead of Mat5Field.
typedef Vector10Field	Vec10fField

typedef Matrix2Field	Mat2Field

typedef Matrix3Field	Mat3Field

typedef Matrix4Field	Mat4Field

typedef Matrix5Field	Mat5Field

Specializations for float, double and long double.
typedef Tmat2< MLfloat >	Matrix2f
	A 2x2 matrix of type float. More...

typedef Tmat2< MLdouble >	Matrix2d
	A 2x2 matrix of type double. More...

typedef Tmat2< MLldouble >	Matrix2ld
	A 2x2 matrix of type long double. More...

typedef Tmat2< MLdouble >	Matrix2
	The standard 2x2 matrix of type double. More...

typedef Tmat3< MLfloat >	Matrix3f
	A 3x3 matrix of type float. More...

typedef Tmat3< MLdouble >	Matrix3d
	A 3x3 matrix of type double. More...

typedef Tmat3< MLldouble >	Matrix3ld
	A 3x3 matrix of type long double. More...

typedef Tmat3< MLdouble >	Matrix3
	The standard 3x3 matrix of type double. More...

typedef Tmat4< MLfloat >	Matrix4f
	A 4x4 matrix of type float. More...

typedef Tmat4< MLdouble >	Matrix4d
	A 4x4 matrix of type double. More...

typedef Tmat4< MLldouble >	Matrix4ld
	A 4x4 matrix of type long double. More...

typedef Tmat4< MLdouble >	Matrix4
	The standard 4x4 matrix of type double. More...

typedef Tmat5< MLfloat >	Matrix5f
	A 5x5 matrix of type float. More...

typedef Tmat5< MLdouble >	Matrix5d
	A 5x5 matrix of type double. More...

typedef Tmat5< MLldouble >	Matrix5ld
	A 5x5 matrix of type long double. More...

typedef Tmat5< MLdouble >	Matrix5
	The standard 5x5 matrix of type double. More...

typedef Tmat6< MLfloat >	Matrix6f
	A 6x6 matrix of type float. More...

typedef Tmat6< MLdouble >	Matrix6d
	A 6x6 matrix of type double. More...

typedef Tmat6< MLldouble >	Matrix6ld
	A 6x6 matrix of type long double. More...

typedef Tmat6< MLdouble >	Matrix6
	The standard 6x6 matrix of type double. More...

typedef Tvec10< MLfloat >	Vector10f
	A vector with 10 components of type float. More...

typedef Tvec10< MLdouble >	Vector10d
	A vector with 10 components of type double. More...

typedef Tvec10< MLldouble >	Vector10ld
	A vector with 10 components of type long double. More...

typedef Tvec10< MLdouble >	Vector10
	A vector with 10 components of type double. More...

typedef Tvec16< MLfloat >	Vector16f
	A vector with 16 components of type float. More...

typedef Tvec16< MLdouble >	Vector16d
	A vector with 16 components of type double. More...

typedef Tvec16< MLldouble >	Vector16ld
	A vector with 16 components of type long double. More...

typedef Tvec16< MLdouble >	Vector16
	A vector with 16 components of type double. More...

typedef Tvec2< MLfloat >	Vector2f
	A vector with 2 components of type float. More...

typedef Tvec2< MLdouble >	Vector2d
	A vector with 2 components of type double. More...

typedef Tvec2< MLldouble >	Vector2ld
	A vector with 2 components of type long double. More...

typedef Tvec2< MLdouble >	Vector2
	A vector with 2 components of type double. More...

typedef Tvec3< MLfloat >	Vector3f
	A vector with 3 components of type float. More...

typedef Tvec3< MLdouble >	Vector3d
	A vector with 3 components of type double. More...

typedef Tvec3< MLldouble >	Vector3ld
	A vector with 3 components of type long double. More...

typedef Tvec3< MLdouble >	Vector3
	A vector with 3 components of type double. More...

typedef Tvec32< MLfloat >	Vector32f
	A vector with 32 components of type float. More...

typedef Tvec32< MLdouble >	Vector32d
	A vector with 32 components of type double. More...

typedef Tvec32< MLldouble >	Vector32ld
	A vector with 32 components of type long double. More...

typedef Tvec32< MLdouble >	Vector32
	A vector with 32 components of type double. More...

typedef Tvec4< MLfloat >	Vector4f
	A vector with 4 components of type float. More...

typedef Tvec4< MLdouble >	Vector4d
	A vector with 4 components of type double. More...

typedef Tvec4< MLldouble >	Vector4ld
	A vector with 4 components of type long double. More...

typedef Tvec4< MLdouble >	Vector4
	A vector with 4 components of type double. More...

typedef Tvec5< MLfloat >	Vector5f
	A vector with 5 components of type float. More...

typedef Tvec5< MLdouble >	Vector5d
	A vector with 5 components of type double. More...

typedef Tvec5< MLldouble >	Vector5ld
	A vector with 5 components of type long double. More...

typedef Tvec5< MLdouble >	Vector5
	A vector with 5 components of type double. More...

typedef Tvec6< MLfloat >	Vector6f
	A vector with 6 components of type float. More...

typedef Tvec6< MLdouble >	Vector6d
	A vector with 6 components of type double. More...

typedef Tvec6< MLldouble >	Vector6ld
	A vector with 6 components of type long double. More...

typedef Tvec6< MLdouble >	Vector6
	A vector with 6 components of type double. More...

typedef Tvec64< MLfloat >	Vector64f
	A vector with 64 components of type float. More...

typedef Tvec64< MLdouble >	Vector64d
	A vector with 64 components of type double. More...

typedef Tvec64< MLldouble >	Vector64ld
	A vector with 64 components of type long double. More...

typedef Tvec64< MLdouble >	Vector64
	A vector with 64 components of type double. More...

typedef Tvec7< MLfloat >	Vector7f
	A vector with 7 components of type float. More...

typedef Tvec7< MLdouble >	Vector7d
	A vector with 7 components of type double. More...

typedef Tvec7< MLldouble >	Vector7ld
	A vector with 7 components of type long double. More...

typedef Tvec7< MLdouble >	Vector7
	A vector with 7 components of type double. More...

typedef Tvec8< MLfloat >	Vector8f
	A vector with 8 components of type float. More...

typedef Tvec8< MLdouble >	Vector8d
	A vector with 8 components of type double. More...

typedef Tvec8< MLldouble >	Vector8ld
	A vector with 8 components of type long double. More...

typedef Tvec8< MLdouble >	Vector8
	A vector with 8 components of type double. More...

typedef Tvec9< MLfloat >	Vector9f
	A vector with 9 components of type float. More...

typedef Tvec9< MLdouble >	Vector9d
	A vector with 9 components of type double. More...

typedef Tvec9< MLldouble >	Vector9ld
	A vector with 9 components of type long double. More...

typedef Tvec9< MLdouble >	Vector9
	A vector with 9 components of type double. More...

Specializations for float, double, and long double.
typedef TQuaternion< MLfloat >	Quaternionf
	A smaller Quaternion type as specialization from TQuaternion. More...

typedef TQuaternion< MLdouble >	Quaterniond
	The default Quaternion type used in the ML as specialization from TQuaternion. More...

typedef TQuaternion< MLldouble >	Quaternionld
	A large Quaternion type for further extensions of the ML as specialization from TQuaternion. More...

typedef TQuaternion< MLdouble >	Quaternion
	Define the default Quaternion type which is used by the ML; it uses double as component type. More...

Enumerations
enum	{ TNE_VoidImplementation , TNE_NotSupported , TNE_ChildNotFound , TNE_AddingBase , TNE_ReadingBase , TNE_ReadingUChar , TNE_ReadingChar , TNE_ReadingUShort , TNE_ReadingShort , TNE_ReadingUInt , TNE_ReadingInt , TNE_ReadingULong , TNE_ReadingLong , TNE_ReadingFloat , TNE_ReadingDouble , TNE_ReadingLDouble , TNE_ReadingString , TNE_ReadingVector2 , TNE_ReadingVector3 , TNE_ReadingVector4 , TNE_ReadingVector6 , TNE_ReadingImageVector , TNE_ReadingMatrix3 , TNE_ReadingMatrix4 , TNE_ReadingSubImageBox , TNE_ReadingSubImageBoxd , TNE_InvalidReadNext , TNE_InvalidParentNode , TNE_FileNotFound , TNE_ReadingFile , TNE_WritingFile , TNE_UnsupportedClassVersion , TNE_UserDefined , TNE_Unknown , TNE_ReadingMLint64 , TNE_ReadingMLuint64 , TNE_COUNT }
	TreeNode exceptions. More...

enum	{ ML_INTEGER_TYPE = 0x01 , ML_FLOAT_TYPE = 0x02 , ML_SIGNED_TYPE = 0x04 }

enum	{ MLMaxImageDimension = 6 }
	The default dimension of images in the ML. More...

Functions
MLEXPORT void	MLInitFields ()
	Initialize all standard fields of the ML. More...

MLEXPORT void	MLInitListFields ()
	Initialize all multi fields of the ML. More...

template<typename T >
TSubImage< T > *	tsubimg_cast (SubImage *subImg)

template<typename T >
const TSubImage< T > *	tsubimg_cast (const SubImage *subImg)

template<typename T >
TSubImage< T > &	tsubimg_cast (SubImage &subImg)

template<typename T >
const TSubImage< T > &	tsubimg_cast (const SubImage &subImg)

template<typename... T>
TSubImageVariant< T... >	createTSubImageVariant (const SubImage *subImage)

template<typename... T>
TSubImageVariantPair< T... >	createTSubImageVariantPair (SubImage &output, const SubImage *input)

template<std::size_t N, typename... T>
TSubImageVariantArray< N, T... >	createTSubImageVariantArray (const SubImage *inputs)

template<std::size_t N, typename... T>
TSubImageVariantArrayPair< N, T... >	createTSubImageVariantArrayPair (SubImage &output, const SubImage *inputs)

ArgumentList0	MLGenerateArgumentList ()
	Creates argument list with 0 arguments. More...

template<class Arg1 >
ArgumentList1< Arg1 >	MLGenerateArgumentList (const Arg1 &arg1)
	Create argument list with 1 argument. More...

template<class Arg1 , class Arg2 >
ArgumentList2< Arg1, Arg2 >	MLGenerateArgumentList (const Arg1 &arg1, const Arg2 &arg2)
	Creates argument list with 2 arguments. More...

template<class Arg1 , class Arg2 , class Arg3 >
ArgumentList3< Arg1, Arg2, Arg3 >	MLGenerateArgumentList (const Arg1 &arg1, const Arg2 &arg2, const Arg3 &arg3)
	Creates argument list with 3 arguments. More...

template<class Arg1 , class Arg2 , class Arg3 , class Arg4 >
ArgumentList4< Arg1, Arg2, Arg3, Arg4 >	MLGenerateArgumentList (const Arg1 &arg1, const Arg2 &arg2, const Arg3 &arg3, const Arg4 &arg4)
	Creates argument list with 4 arguments. More...

template<class Arg1 , class Arg2 , class Arg3 , class Arg4 , class Arg5 >
ArgumentList5< Arg1, Arg2, Arg3, Arg4, Arg5 >	MLGenerateArgumentList (const Arg1 &arg1, const Arg2 &arg2, const Arg3 &arg3, const Arg4 &arg4, const Arg5 &arg5)
	Creates argument list with 5 arguments. More...

template<class Object , class Method >
void	MLCallMethodWithArguments (Object *object, Method method, const ArgumentList0 &)
	Calls a method on given object with 0 arguments. More...

template<class Object , class Method , class Arg1 >
void	MLCallMethodWithArguments (Object *object, Method method, const ArgumentList1< Arg1 > &args)
	Calls a method on given object with 1 argument. More...

template<class Object , class Method , class Arg1 , class Arg2 >
void	MLCallMethodWithArguments (Object *object, Method method, const ArgumentList2< Arg1, Arg2 > &args)
	Calls a method on given object with 2 arguments. More...

template<class Object , class Method , class Arg1 , class Arg2 , class Arg3 >
void	MLCallMethodWithArguments (Object *object, Method method, const ArgumentList3< Arg1, Arg2, Arg3 > &args)
	Calls a method on given object with 3 arguments. More...

template<class Object , class Method , class Arg1 , class Arg2 , class Arg3 , class Arg4 >
void	MLCallMethodWithArguments (Object *object, Method method, const ArgumentList4< Arg1, Arg2, Arg3, Arg4 > &args)
	Calls a method on given object with 4 arguments. More...

template<class Object , class Method , class Arg1 , class Arg2 , class Arg3 , class Arg4 , class Arg5 >
void	MLCallMethodWithArguments (Object *object, Method method, const ArgumentList5< Arg1, Arg2, Arg3, Arg4, Arg5 > &args)
	Calls a method on given object with 5 arguments. More...

std::size_t	hash_value (ConstantString const &b)

template<class T >
constexpr Is< T >	is (T d)

template<typename Range1 , typename Range2 , typename BinaryPredicate >
constexpr Range2::const_iterator	is_rotated (const Range1 &range1, const Range2 &range2, BinaryPredicate p)

template<typename Range1 , typename Range2 >
constexpr Range2::const_iterator	is_rotated (const Range1 &range1, const Range2 &range2)

template<typename T >
void	flatten (const tree_node< T > &tree, std::vector< T > &flatten_elements)

template<typename T >
void	insert_set_sorted (tree_node< T > &tree, T newValue, T zero={})

ML_UTILS_EXPORT float	roundf (float x)

ML_UTILS_EXPORT double	round (double x)

ML_UTILS_EXPORT int	iroundf (float x)

ML_UTILS_EXPORT int	iround (double x)

ML_UTILS_EXPORT long	lroundf (float x)

ML_UTILS_EXPORT long	lround (double x)

template<typename T , std::size_t N>
constexpr T	convertTo (const char(&t)[N])

template<typename T >
constexpr bool	almostEqualRelativeAndAbs (T x, T y, T absoluteEpsilon, T relativeEpsilon=std::numeric_limits< T >::epsilon())

void ML_UTILS_EXPORT	printTemplateFatalError (const char *location, MLErrorCode reason, const std::string_view &handling)

void ML_UTILS_EXPORT	printTemplateError (const char *location, MLErrorCode reason, const std::string_view &handling)

void ML_UTILS_EXPORT	printTemplateWarning (const char *location, MLErrorCode reason, const std::string_view &handling)

void	intrusive_ptr_add_ref (const ml::RefCountedBase *p)

void	intrusive_ptr_release (const ml::RefCountedBase *p)

template<typename T >
bool	vector_contains (const std::vector< T > &vec, const T &value)
	Helper template that searches for `value` in given vector `vec` and returns true if it was found. More...

template<typename T >
bool	vector_remove (std::vector< T > &vec, const T &value)
	Helper template that removes the first occurrence of `value` in given vector `vec` and returns true if it was found. More...

template<typename T >
void	vector_remove_all (std::vector< T > &vec, const T &value)
	Helper template that removes all occurrences of `value` in given vector `vec`. More...

template<typename T >
bool	vector_replace_by_NULL (std::vector< T > &vec, const T &value)
	Helper template that replaces the first occurrence of `value` in given vector `vec` with NULL and returns true if it was found. More...

void ML_UTILS_EXPORT	execute_low (stlab::task< void()> f)

void ML_UTILS_EXPORT	execute_default (stlab::task< void()> f)

void ML_UTILS_EXPORT	execute_high (stlab::task< void()> f)

void ML_UTILS_EXPORT	pre_exit ()

template<class... Ts>
	Overload (Ts...) -> Overload< Ts... >

void ML_UTILS_EXPORT	logTypeComponentsFromStringError (const char *function)

template<typename DT >
DT	abs (DT val)

ML_UTILS_EXPORT std::wstring	convertUTF8ToWString (const char *text)

ML_UTILS_EXPORT std::wstring	convertUTF8ToWString (const std::string &text)

ML_UTILS_EXPORT std::string	convertToUTF8String (const wchar_t *text)

ML_UTILS_EXPORT std::string	convertToUTF8String (const std::wstring &text)

template<class OBJ_TYPE >
void	MLSwap (OBJ_TYPE &obj1, OBJ_TYPE &obj2)
	Swaps two objects obj1 and obj2. More...

template<class BASE_TYPE >
BASE_TYPE	MLInverseMatHelper (const BASE_TYPE &origMat, bool isInvertible, const typename BASE_TYPE::ComponentType, const char const ZeroDetErrString, const BASE_TYPE &Identity, const size_t Dim)
	Computes an N dimensional inverse from given default parameters. More...

template<class DT , class DT2 >
Tvec3< DT >	operator* (const Tmat3< DT > &a, const Tvec3< DT2 > &v)
	Normal multiplication of 3x3 matrix a with 3d vector v with a Tvec3 as result. More...

template<class DT , class DT2 >
Tvec3< DT >	operator* (const Tvec3< DT > &v, const Tmat3< DT2 > &a)
	Normal multiplication of 3d vector v with 3x3 matrix with a Tvec3 as result. More...

template<class DT , class DT2 >
Tvec3< DT >	operator* (const Tmat4< DT > &a, const Tvec3< DT2 > &v)
	Interprets v as a 4d homogeneous point and multiply the 4x4 matrix M with it and return a Tvec3 after normalizing the result by dividing by the fourth component. More...

template<class DT , class DT2 >
Tvec3< DT >	operator* (const Tvec3< DT > &v, const Tmat4< DT2 > &a)
	Interprets v as a 4d homogeneous point and multiply it with the 4x4 matrix M and return a Tvec3 after normalizing the result by dividing by the fourth component. More...

template<class DT , class DT2 >
Tvec3< DT >	operator^ (const Tvec3< DT > &a, const Tvec3< DT2 > &b)
	Returns a vector orthogonal to a and b. More...

template<class DT >
Tvec4< DT >	operator* (const Tmat4< DT > &a, const Tvec4< DT > &v)
	Multiplies 4x4 matrix a with vector v. More...

template<class DT >
Tvec4< DT >	operator* (const Tvec4< DT > &v, const Tmat4< DT > &a)
	Multiplies vector v with 4x4 matrix a. More...

template<class DT >
Tvec5< DT >	operator* (const Tmat5< DT > &a, const Tvec5< DT > &v)
	Multiplies 5x5 matrix a with vector v. More...

template<class DT >
Tvec5< DT >	operator* (const Tvec5< DT > &v, const Tmat5< DT > &a)
	Multiplies vector v with 5x5 matrix a. More...

Casting of SubImage to TSubImage<T>
The tsubimage_cast allows to cast a SubImage (pointer or reference) to a typed TSubImage<T> (pointer or reference). If the cast is not possible because the datatype of the SubImage does not match the T of tsubimage_cast<T>, a fatal ML error occurs. Usage: TSubImage<MLfloat>& tsubimg = tsubimage_cast<MLfloat>(subimg);
template<typename T >
TSubImage< T > &	tsubimage_cast (SubImage &subImg)

template<typename T >
const TSubImage< T > &	tsubimage_cast (const SubImage &subImg)

template<typename T >
TSubImage< T > *	tsubimage_cast (SubImage *subImg)

template<typename T >
const TSubImage< T > *	tsubimage_cast (const SubImage *subImg)

mlMin/mlMax Templates in ML namespace
template<typename T >
T	mlMin (T a, T b)
	Defines ML specific `min` template since `min` template is platform dependent. More...

template<typename T >
T	mlMax (T a, T b)
	Defines ML specific `max` template since `max` template is platform dependent. More...

template<typename T >
T	mlAbs (T a)
	Defines ML specific `abs` template since only type depended library functions exists. More...


MLuint8	mlAbs (MLuint8 a)
	Implement mlAbs specializations to avoid comparison < 0 warnings on unsigned types. More...

MLuint16	mlAbs (MLuint16 a)

MLuint32	mlAbs (MLuint32 a)

MLuint64	mlAbs (MLuint64 a)

Standalone functions for FloatingPointVector.
template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer > &	operator+= (FloatingPointVector< T, size, DataContainer > &op1, const FloatingPointVector< T, size, DataContainer > &buffer)
	Arithmetic assignment: Component wise addition. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer > &	operator-= (FloatingPointVector< T, size, DataContainer > &op1, const FloatingPointVector< T, size, DataContainer > &buffer)
	Arithmetic assignment: Component wise subtraction of buffer from *this. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer > &	operator*= (FloatingPointVector< T, size, DataContainer > &op1, MLdouble value)
	Arithmetic assignment: Component wise multiplication *this with specialized MLdouble scalar value. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer > &	operator*= (FloatingPointVector< T, size, DataContainer > &op1, const FloatingPointVector< T, size, DataContainer > &op2)
	Arithmetic assignment: Component wise multiplication *this with a vector of the same size. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer > &	operator/= (FloatingPointVector< T, size, DataContainer > &op1, MLdouble value)
	Arithmetic assignment: Component wise division of *this by scalar value. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer > &	operator/= (FloatingPointVector< T, size, DataContainer > &op1, const FloatingPointVector< T, size, DataContainer > &op2)
	Arithmetic assignment: Component wise division of *this by the values of a vector of the same size. More...

template<class T , size_t size, class DataContainer >
bool	operator! (const FloatingPointVector< T, size, DataContainer > &a)
	Returns whether all components are 0. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	operator+ (FloatingPointVector< T, size, DataContainer > lhs, const FloatingPointVector< T, size, DataContainer > &rhs)
	Return value is the component wise addition of lhs and rhs. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	operator- (FloatingPointVector< T, size, DataContainer > lhs, const FloatingPointVector< T, size, DataContainer > &rhs)
	Return value is the component wise subtraction of rhs from lhs. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	operator+ (const FloatingPointVector< T, size, DataContainer > &buffer)
	Unary plus, for completeness and for those who really want to use that... More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	operator- (const FloatingPointVector< T, size, DataContainer > &buffer)
	Unary minus, all components of the vector are multiplied with -1. More...

template<class T , size_t size, class DataContainer >
T	operator* (const FloatingPointVector< T, size, DataContainer > &a, const FloatingPointVector< T, size, DataContainer > &b)
	Dot product, returns a.dot(b). More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	operator* (FloatingPointVector< T, size, DataContainer > lhs, MLdouble rhs)
	Component wise multiplication of lhs with rhs. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	operator* (MLdouble lhs, FloatingPointVector< T, size, DataContainer > rhs)
	Component wise multiplication of rhs with lhs. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	operator/ (FloatingPointVector< T, size, DataContainer > lhs, MLdouble rhs)
	Component wise division of lhs by specialized rhs of type MLdouble. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	compMin (FloatingPointVector< T, size, DataContainer > buffer1, const FloatingPointVector< T, size, DataContainer > &buffer2)
	Component wise minimum of buffer1 and buffer2. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	compMax (FloatingPointVector< T, size, DataContainer > buffer1, const FloatingPointVector< T, size, DataContainer > &buffer2)
	Component wise maximum of buffer1 and buffer2. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	compAbs (FloatingPointVector< T, size, DataContainer > vec)
	Returns a vector with all components from vec without negative sign. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	compSqr (FloatingPointVector< T, size, DataContainer > vec)
	Returns a vector with all components from vec squared. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	compSqrt (FloatingPointVector< T, size, DataContainer > vec)
	Returns a vector with all components from vec square-rooted. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	compDiv (FloatingPointVector< T, size, DataContainer > vec, const FloatingPointVector< T, size, DataContainer > &d)
	Component wise division of vec / d. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	clampMin (FloatingPointVector< T, size, DataContainer > vec, const FloatingPointVector< T, size, DataContainer > &m)
	Returns a new vector with all components from vec clamped to minimum m. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	clampMax (FloatingPointVector< T, size, DataContainer > vec, const FloatingPointVector< T, size, DataContainer > &m)
	Returns a new vector with all components from vec clamped to maximum m. More...

template<class T , size_t size, class DataContainer >
FloatingPointVector< T, size, DataContainer >	clamp (FloatingPointVector< T, size, DataContainer > vec, const FloatingPointVector< T, size, DataContainer > &lower, const FloatingPointVector< T, size, DataContainer > &upper)
	Returns a new vector with all components from vec clamped to range [lower, upper]. More...

template<class T , size_t size, class DataContainer >
T	compMul (const FloatingPointVector< T, size, DataContainer > &vec)
	Returns the product of all components. More...

Functions and operators for class Tmat2.
Helper macro only locally defined for Tmat2 matrix multiplication.
template<class DT >
Tmat2< DT >	operator* (const Tmat2< DT > &a, const Tmat2< DT > &b)

template<class DT >
bool	operator== (const Tmat2< DT > &a, const Tmat2< DT > &b)
	a == b ? Return true if yes. More...

template<class DT >
bool	operator!= (const Tmat2< DT > &a, const Tmat2< DT > &b)
	a != b ? Return true if yes. More...

Standalone functions and operators for class Tmat2.
template<class DT >
Tmat2< DT >	operator- (const Tmat2< DT > &a)
	Returns a matrix a with all values negated. More...

template<class DT >
Tmat2< DT >	operator+ (const Tmat2< DT > &a, const Tmat2< DT > &b)
	Returns the component wise sum of matrix a and matrix b. More...

template<class DT >
Tmat2< DT >	operator- (const Tmat2< DT > &a, const Tmat2< DT > &b)
	Returns the component wise difference of matrix a and matrix b. More...

template<class DT >
Tmat2< DT >	operator* (const Tmat2< DT > &a, DT d)
	Returns the component wise multiplication of matrix a with scalar d. More...

template<class DT >
Tmat2< DT >	operator* (const DT d, const Tmat2< DT > &a)
	Returns the component wise multiplication of scalar d with matrix a. More...

template<class DT >
Tmat2< DT >	operator/ (const Tmat2< DT > &a, const DT d)
	Returns the component wise division of matrix a by scalar d. More...

template<class DT >
Tvec2< DT >	operator* (const Tmat2< DT > &a, const Tvec2< DT > &v)
	Normal multiplication of 2x2 matrix a with 2D vector v with a Tvec2as result. More...

template<class DT >
Tvec2< DT >	operator* (const Tvec2< DT > &v, const Tmat2< DT > &a)
	Normal multiplication of 2D vector v with 2x2 matrix with a Tvec2as result. More...

Global operators and functions of class Tmat3.
template<class DT >
Tmat3< DT >	operator- (const Tmat3< DT > &a)
	Returns a matrix a with all values negated. More...

template<class DT >
Tmat3< DT >	operator+ (const Tmat3< DT > &a, const Tmat3< DT > &b)
	Returns the component wise sum of matrix a and matrix b. More...

template<class DT >
Tmat3< DT >	operator- (const Tmat3< DT > &a, const Tmat3< DT > &b)
	Returns the component wise difference of matrix a and matrix b. More...

template<class DT >
Tmat3< DT >	operator* (const Tmat3< DT > &a, const DT d)
	Returns the component wise multiplication of matrix a with scalar d. More...

template<class DT >
Tmat3< DT >	operator* (const DT d, const Tmat3< DT > &a)
	Returns the component wise multiplication of scalar d with matrix a. More...

template<class DT >
Tmat3< DT >	operator/ (const Tmat3< DT > &a, const DT d)
	Returns the component wise division of matrix a by scalar d. More...

Special Functions
template<class DT >
Tmat3< DT >	operator* (const Tmat3< DT > &a, const Tmat3< DT > &b)
	Matrix 3 product. More...

template<class DT >
bool	operator== (const Tmat3< DT > &a, const Tmat3< DT > &b)
	a == b ? Return true if yes, otherwise false. More...

template<class DT >
bool	operator!= (const Tmat3< DT > &a, const Tmat3< DT > &b)
	a != b ? Return true if yes, otherwise false. More...

template<class DT >
Tmat3< DT >	identity2D ()
	Returns a 3x3 homogeneous identity2D matrix; synonym for Tmat3<DT>::getIdentity(). More...

template<class DT >
Tmat3< DT >	translation2D (const Tvec2< DT > &v)
	Returns a 2D translation matrix as 3D homogeneous matrix where the translation is located in the right column. More...

template<class DT >
Tmat3< DT >	rotation2D (const Tvec2< DT > &Center, const DT angleDeg)
	Returns a 2D rotation matrix as 3D homogeneous matrix where center specifies the center of rotation. More...

template<class DT >
Tmat3< DT >	scaling2D (const Tvec2< DT > &scaleVector)
	Returns a 2D scale matrix as 3D homogeneous matrix. More...

template<class DT >
Tmat5< DT >	operator* (const Tmat5< DT > &a, const Tmat5< DT > &b)
	Matrix product. More...

template<class DT >
bool	operator== (const Tmat5< DT > &a, const Tmat5< DT > &b)
	a == b ? Return true if yes, otherwise false. More...

template<class DT >
bool	operator!= (const Tmat5< DT > &a, const Tmat5< DT > &b)
	a != b ? Return true if yes, otherwise false. More...

template<class DT >
Tmat6< DT >	operator* (const Tmat6< DT > &a, const Tmat6< DT > &b)
	Matrix product. More...

template<class DT >
bool	operator== (const Tmat6< DT > &a, const Tmat6< DT > &b)
	a == b ? Return true if yes, otherwise false. More...

template<class DT >
bool	operator!= (const Tmat6< DT > &a, const Tmat6< DT > &b)
	a != b ? Return true if yes, otherwise false. More...

template<class DT >
Tvec6< DT >	operator* (const Tmat6< DT > &a, const Tvec6< DT > &v)
	Multiplies 6x6 matrix a with vector v. More...

template<class DT >
Tvec6< DT >	operator* (const Tvec6< DT > &v, const Tmat6< DT > &a)
	Multiplies vector v with 6x6 matrix a. More...

Functions and operators for class Tmat4.
template<class DT >
Tmat4< DT >	operator* (const Tmat4< DT > &a, const Tmat4< DT > &b)
	a * b. More...

template<class DT >
bool	operator== (const Tmat4< DT > &a, const Tmat4< DT > &b)
	a == b ? Return true if yes. More...

template<class DT >
bool	operator!= (const Tmat4< DT > &a, const Tmat4< DT > &b)
	a != b ? Return true if yes. More...

Global functions and operators for class Tmat4.
template<class DT >
Tmat4< DT >	operator- (const Tmat4< DT > &a)
	Returns the matrix a with all values negated. More...

template<class DT >
Tmat4< DT >	operator+ (const Tmat4< DT > &a, const Tmat4< DT > &b)
	Returns the component wise sum of matrix a and matrix b. More...

template<class DT >
Tmat4< DT >	operator- (const Tmat4< DT > &a, const Tmat4< DT > &b)
	Returns the component wise difference of matrix a and matrix b. More...

template<class DT >
Tmat4< DT >	operator* (const Tmat4< DT > &a, const DT d)
	Returns the component wise multiplication of matrix a with scalar d. More...

template<class DT >
Tmat4< DT >	operator* (const DT d, const Tmat4< DT > &a)
	Returns the component wise multiplication of scalar d with matrix a. More...

template<class DT >
Tmat4< DT >	operator/ (const Tmat4< DT > &a, const DT d)
	Returns the component wise division of matrix a by scalar d. More...

Tmat4<DT> member functions
template<class DT >
Tmat4< DT >	identity3D ()
	Returns a 4x4 homogeneous identity3D matrix; synonym for Tmat4<DT>::getIdentity(). More...

template<class DT >
Tmat4< DT >	translation3D (const Tvec3< DT > &v)
	Returns a 4x4 homogeneous translation matrix with default identity matrix contents and the upper three components in right column given by 3D vector v. More...

template<class DT >
Tmat4< DT >	rotation3D (Tvec3< DT > Axis, const DT angleRad)
	Returns a 4x4 homogeneous 3D rotation matrix describing a rotation with angle angleRad around axis Axis where center specifies the center of rotation. More...

template<class DT >
Tmat4< DT >	scaling3D (const Tvec3< DT > &scaleVector)
	Scaling 3D. More...

template<class DT >
Tmat4< DT >	perspective3D (const DT d)
	Creates a 4x4 homogeneous perspective projection matrix with perspective shortening value given by d which must differ from zero to avoid errors. More...

Standalone operators of class Tmat5.
template<class DT >
Tmat5< DT >	operator- (const Tmat5< DT > &a)
	Returns a matrix a with all values negated. More...

template<class DT >
Tmat5< DT >	operator+ (const Tmat5< DT > &a, const Tmat5< DT > &b)
	Returns the component wise sum of matrix a and matrix b. More...

template<class DT >
Tmat5< DT >	operator- (const Tmat5< DT > &a, const Tmat5< DT > &b)
	Returns the component wise difference of matrix a and matrix b. More...

template<class DT >
Tmat5< DT >	operator* (const Tmat5< DT > &a, const DT d)
	Returns the component wise product of matrix a with scalar d. More...

template<class DT >
Tmat5< DT >	operator* (const DT d, const Tmat5< DT > &a)
	Returns the component wise product of scalar d with matrix a. More...

template<class DT >
Tmat5< DT >	operator/ (const Tmat5< DT > &a, const DT d)
	Returns the component wise division of matrix a by scalar d. More...

Standalone operators of class Tmat6.
template<class DT >
Tmat6< DT >	operator- (const Tmat6< DT > &a)
	Returns a matrix a with all values negated. More...

template<class DT >
Tmat6< DT >	operator+ (const Tmat6< DT > &a, const Tmat6< DT > &b)
	Returns the component wise sum of matrix a and matrix b. More...

template<class DT >
Tmat6< DT >	operator- (const Tmat6< DT > &a, const Tmat6< DT > &b)
	Returns the component wise difference of matrix a and matrix b. More...

template<class DT >
Tmat6< DT >	operator* (const Tmat6< DT > &a, const DT d)
	Returns the component wise product of matrix a with scalar d. More...

template<class DT >
Tmat6< DT >	operator* (const DT d, const Tmat6< DT > &a)
	Returns the component wise product of scalar d with matrix a. More...

template<class DT >
Tmat6< DT >	operator/ (const Tmat6< DT > &a, const DT d)
	Returns the component wise division of matrix a by scalar d. More...

Variables
const MLint	_ML_STD_SLEN =64
	Length of strings for component descriptions and class names. More...

ML_UTILS_EXPORT ErrorOutput	MLErrorOutput
	This is a singleton used for all ML Error input and output;. More...

ML_UTILS_EXPORT Notify	MLNotify
	Singleton which contains all registered callback functions of the ML. More...

template<template< class... > class Op, class... Args>
constexpr bool	is_detected_v = is_detected<Op, Args...>::value

ML_UTILS_EXPORT TraceBuffer< MLGlobalTraceBufferType >	MLGlobalTraceBuffer
	This is a global singleton of the TraceBuffer class. More...

Values to be used in the setup of a TypedCalculateOutputImageHandler/TypedProcessAllPagesHandler
const int	MLVariableType0 = _ML_SWITCH_SELECT_OFFSET
	Defines to use the result type of variable type 0. More...

const int	MLVariableType1 = _ML_SWITCH_SELECT_OFFSET+1
	Defines to use the result type of variable type 1. More...

const int	MLVariableType2 = _ML_SWITCH_SELECT_OFFSET+2
	Defines to use the result type of variable type 2. More...

const int	MLVariableType3 = _ML_SWITCH_SELECT_OFFSET+3
	Defines to use the result type of variable type 3. More...

const int	MLGenericType = _ML_SWITCH_SELECT_OFFSET+10
	Defines special index to use a generic type. More...

Detailed Description

Main documentation file for ML users and developers.

Template class for a 9D vector for floating point types, derived from FloatingPointVector.

Template class for a 8D vector for floating point types, derived from FloatingPointVector.

Template class for a 7D vector for floating point types, derived from FloatingPointVector.

Template class for a 64D vector for floating point types, derived from FloatingPointVector.

Template class for a 6D vector for floating point types, derived from FloatingPointVector.

Template class for a 5D vector for floating point types, derived from FloatingPointVector.

Template class for a 4D vector for floating point types, derived from FloatingPointVector.

Template class for a 32D vector for floating point types, derived from FloatingPointVector.

Template class for a 3D vector for floating point types, derived from FloatingPointVector.

Template class for a 2D vector for floating point types, derived from FloatingPointVector.

Template class for a 16D vector for floating point types, derived from FloatingPointVector.

Template class for a 10D vector for floating point types, derived from FloatingPointVector.

Defines a class to represent a Rotation.

Template class for quaternion numerics.

Defines a class to handle the geometry primitive "Plane".

Template class for a 6x6 matrix of 6 rows of Tvec6 vectors.

Template class for a 5x5 matrix of 5 rows of Tvec5 vectors.

Template class for a 4x4 matrix of 4 rows of Tvec4 vectors.

Template class for a 2x2 matrix of 2 rows of Tvec2 vectors.

Template class for a 3x3 matrix of 3 rows of Tvec3 vectors.

Main documentation file for mlLinearAlgebra library.

Defines the geometry primitive "Line".

Template class TVector for integer types.

Template class TImageVector for 6D integer types and the specialization ImageVector which is typically used in ML as indexing and coordinate type.

Template base class for floating point matrices.

Platform independent class to manage a wait condition that can be used with a mutex to do signalling between threads.

Define the namespace name like in the ML. Default is ml.

File containing the library documentation of project mlUtils.

Defines named constants for Unicode code points.

Class to manage a buffer for a stack and a list of string pointers for tracing debug and release code.

Class to measure precise time intervals in seconds.

Platform independent class to manage a thread.

A switch()-like statement whose cases are string literals.

This file declares the class RuntimeType, which contains runtime-generated type and inheritance information of associated classes.

This file declares the class RuntimeDict, which manages a set of instances of class RuntimeTypes.

This class contains the global runtime system of the ML.

RefCountedBase class that adds reference counting to Base.

Class to notify registered instances about ML changes.

Platform independent class to manage a mutex for safe operations on code sections which must be used only by one thread at a time.

Singleton class that provides information about system memory.

Basic memory management class for the ML.

Implementation of basic cross-platform math routines.

This file defines the class ImagePropertyExtensionContainer.

This file defines the class ImagePropertyExtension which is used as a base class for extended image property objects which can be appended to the ImagePropertyExtensionContainer inside MedicalImageProperties.

Define EventSource class that adds event listener handling to Base and a BaseEvent class needed for that.

Information container for error, debug or tracing information.

Central error handling and redirection class for the ML.

Defines the class DateTime for processing date and time values.

Singleton class that provides information about CPU.

A light-weight shared constant string (not thread safe!)

Gather compiler information.

Platform independent class to manage a barrier that is used to make a group of threads wait for each other.

Platform independent class to manage threadsafe atomic counting.

Template classes for storing up to five arguments in a ArgumentList and calling a method with a given argument list.

Defines an interface to access properties of the host application.

These abstract classes define an interface to allow the storing and restoring of structured objects.

Define template functions for converting values to/from string.

This file defines the class TSubImage to administrate/manage/access typed images or subimages which reside in memory.

This abstract class defines an interface to allow the storing and restoring of complex objects.

Class to define a subimage region with Vector6 corners It represents a 6D box like image region defined by 2 6d corner points.

Define the template class TSubImageBox and the specialization SubImageBox.

This file defines the class SubImage to administrate/manage/access images or subimages which reside in memory.

This class provides static methods to convert ML objects to and from strings.

Template class to register the standard integer data types as voxel types in the ML.

Defines the class TScaleShiftData).

Defines the class ProcessAllPagesHandler.

Defines the class PageIDIterator.

Contains the class PagedImage which represents an fragmented image which manages properties of an image and image data which is located in pages.

Some tools for Module programming.

Defines the class MemoryImage which manages memory mapped images in ML output connectors.

This file defines the classes ImageProperties and MedicalImageProperties.

Define classes for multi-valued fields.

Define a template class for multi-valued fields.

Defines the class InSubImageProps 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.

This file defines the classes ImageProperties.

Defines the class Host for the processing of image processing graphs (see class PagedImage and Module).

Defines the class FieldSensor to realize the concept of field sensors which can observe fields.

Defines the base class Field from which many classes are derived like StringField and IntField for unified access to image processing parameters of ML Module subclasses.

Defined and implements an engine, an ML module implementing only operations on fields.

This file contains definitions of input and output connectors for mlModule class which are necessary to connect ML modules.

Defines the class TileRequest.

Defines the class ProcessingTimeLine.

Defines the class ProcessAllPagesJob.

Defines the class.

Defines the class PageRequestCursor.

Defines the class PageRequest.

Defines the class GetTileJob.

Implements the classic host processing for getTile/processAllPages Thread-safety: This class is not thread-safe and should only be used from the main thread.

It contains source code documentation, release notes and known problems pages.

With field sensors functions can be registered which shall be called when a corresponding field is modified.

Note that this file needs to be included explicitly, because it is part of the hidden C++ API of the ML. Do not use it, because it is part of the ML internals. If you need functionality see wrapped functionality in Module and PagedImage.

Thread-safety: This class is not thread-safe and should only be used from the main thread.

They describe properties of images and sometimes of subimages.

Note that this file needs to be included explicitly, it not part of mlModuleIncludes.h.

The image data can be partially available or not. This class has the following properties:

The image is composed from a number of numbered pages of an identical data type and extent. Pages can be available or not.
The properties of the image are inherited from the class MedicalImageProperties.
New properties of the pages are:
- page extents
- page number
- the location within the entire image.
- a reference to the memory chunk of type MLWeakMemoryBlockHandle
The PagedImage owns methods to create, remove, or copy pages and to copy page contents to a subimage corresponding to them.
It also contains a MemoryImage which can be used to maintain the entire image as a continuous memory area.

NOTE: Only one instance should be created of this class!

The struct ErrorOutputInfos is passed to any call of a user registered function of type ErrorOutputCB to notify about detailed debug, error or other runtime information. It passes the registered userData pointer for the callback function, a completely composed information string for convenience and a structure of type ErrorOutputInfos to the function. The struct contains

a type identifier (information, warning, error, fatal error or debug),
a prefix string for the library which created the information,
a prefix string with arbitrary information printed before a function,
the function name
the error code
the reason/info string,
the string with information about the handling of the error,
the file name,
the line number and
the time stamp when message was received by the error handler of the error/warning/information/debug position.

Objects/classes derived from the abstract class ImagePropertyExtension can be added to this container to define extensions of the MedicalimageProperties of an ML paged image.

This is a class where any instance can register itself with a callback. The callback will be called if any state flag in the ML changes. So these instances can update themselves if the ML changes. Note that the notify callbacks maybe called from within any environment. So critical sections (to avoid parallel execution) could be active or field notifications could be disabled. So e.g., updating fields within such a callback may fail or critical sections could block. Anyway, the caller should try to avoid that in general.

It manages a dictionary of runtime types, it can create and remove runtime types. This class contains only static components and must be initialized with init() and destroyed with destroy() on ML initialization/destruction.

See also classes RuntimeType and RuntimeDict.

The class Runtime uses one global instance of this class for the runtime type system of the ML.

See also classes Runtime and RuntimeType.

To track these information, the macros defined in RuntimeSubClass.h have to be inserted in the declaration and implementation of the associated classes.

The StringSwitch class is a simple form of a switch() statement that determines whether the given string matches one of the given string literals. The template type parameter T is the type of the value that will be returned from the string-switch expression. For example, the following code switches on the name of a color in argv[i]: (The code was taken from the LLVM project and modified for MBS' environment)

Color color = StringSwitch<Color>(argv[i]) .Case("red", Red) .Case("orange", Orange) .Case("yellow", Yellow) .Case("green", Green) .Case("blue", Blue) .Case("indigo", Indigo) .Cases("violet", "purple", Violet) .StartsWith("white", White) .EndsWith("gray", Gray) .Default(UnknownColor);

Another class Trace to be used in tracing macros is also implemented here. Note:

Both classes are implemented in one file to avoid tricky circular header dependencies which cannot be solved by moving code into .cpp files for performance reasons.

Macro to put all following stuff into the namespace ml to avoid collisions with symbols of other libraries. Use END_NAMESPACE_ML to close the namespace. Closes the namespace for all ML stuff after the usage of ML_UTILS_START_NAMESPACE.

Implementation of a Quaternion with common operations; for definition and examples see http://en.wikipedia.org/wiki/Quaternion as reference page. It is also the source of many comments. More sources: http://www.fraktalstudio.de/ifunct_d.htm http://home.pcisys.net/~bestwork.1/QRW/QuaternionQuantumMechanics.htm

Typedef Documentation

◆ BaseEventCallback

typedef void ml::BaseEventCallback(void *, BaseEvent *)

Definition at line 25 of file mlEventSource.h.

◆ CalculateOutputImagePropertiesCB

typedef void ml::CalculateOutputImagePropertiesCB(void *userData, PagedImage *outImage)

Callback for the calculation of the output image properties for outputImage.

Definition at line 27 of file mlModuleInterfaces.h.

◆ default_executor

using ml::default_executor = typedef detail::executor<execute_default>

Definition at line 57 of file mlTaskSystem.h.

◆ detected_t

template<template< class... > class Op, class... Args>

using ml::detected_t = typedef typename internal::detector<internal::nonesuch, void, Op, Args...>::type

Definition at line 80 of file mlTemplateHelpers.h.

◆ high_executor

using ml::high_executor = typedef detail::executor<execute_high>

Definition at line 58 of file mlTaskSystem.h.

◆ ImagePropertyExtensionVector

typedef std::vector<ImagePropertyExtension*> ml::ImagePropertyExtensionVector

Define the STL container type of ImagePropertyExtension objects.

Definition at line 99 of file mlImagePropertyExtension.h.

◆ ImageVector

typedef TImageVector<MLint> ml::ImageVector

Defines the standard ImageVector type which is used by the ML for indexing and coordinates.

Definition at line 300 of file mlImageVector.h.

◆ is_detected

template<template< class... > class Op, class... Args>

using ml::is_detected = typedef typename internal::detector<internal::nonesuch, void, Op, Args...>::value_t

Definition at line 74 of file mlTemplateHelpers.h.

◆ Lock

typedef boost::mutex::scoped_lock ml::Lock

Defines a lock for locking a non-recursive mutex.

Definition at line 41 of file mlMutex.h.

◆ low_executor

using ml::low_executor = typedef detail::executor<execute_low>

Definition at line 56 of file mlTaskSystem.h.

◆ Mat2Field

typedef Matrix2Field ml::Mat2Field

Definition at line 2208 of file mlFields.h.

◆ Mat3Field

typedef Matrix3Field ml::Mat3Field

Definition at line 2300 of file mlFields.h.

◆ Mat4Field

typedef Matrix4Field ml::Mat4Field

Definition at line 2435 of file mlFields.h.

◆ Mat5Field

typedef Matrix5Field ml::Mat5Field

Definition at line 2528 of file mlFields.h.

◆ Matrix2

typedef Tmat2<MLdouble> ml::Matrix2

The standard 2x2 matrix of type double.

Definition at line 518 of file mlMatrix2.h.

◆ Matrix2d

typedef Tmat2<MLdouble> ml::Matrix2d

A 2x2 matrix of type double.

Definition at line 514 of file mlMatrix2.h.

◆ Matrix2f

typedef Tmat2<MLfloat> ml::Matrix2f

A 2x2 matrix of type float.

Definition at line 512 of file mlMatrix2.h.

◆ Matrix2ld

typedef Tmat2<MLldouble> ml::Matrix2ld

A 2x2 matrix of type long double.

Definition at line 516 of file mlMatrix2.h.

◆ Matrix3

typedef Tmat3<MLdouble> ml::Matrix3

The standard 3x3 matrix of type double.

Definition at line 711 of file mlMatrix3.h.

◆ Matrix3d

typedef Tmat3<MLdouble> ml::Matrix3d

A 3x3 matrix of type double.

Definition at line 707 of file mlMatrix3.h.

◆ Matrix3f

typedef Tmat3<MLfloat> ml::Matrix3f

A 3x3 matrix of type float.

Definition at line 705 of file mlMatrix3.h.

◆ Matrix3ld

typedef Tmat3<MLldouble> ml::Matrix3ld

A 3x3 matrix of type long double.

Definition at line 709 of file mlMatrix3.h.

◆ Matrix4

typedef Tmat4<MLdouble> ml::Matrix4

The standard 4x4 matrix of type double.

Definition at line 726 of file mlMatrix4.h.

◆ Matrix4d

typedef Tmat4<MLdouble> ml::Matrix4d

A 4x4 matrix of type double.

Definition at line 722 of file mlMatrix4.h.

◆ Matrix4f

typedef Tmat4<MLfloat> ml::Matrix4f

A 4x4 matrix of type float.

Definition at line 720 of file mlMatrix4.h.

◆ Matrix4ld

typedef Tmat4<MLldouble> ml::Matrix4ld

A 4x4 matrix of type long double.

Definition at line 724 of file mlMatrix4.h.

◆ Matrix5

typedef Tmat5<MLdouble> ml::Matrix5

The standard 5x5 matrix of type double.

Definition at line 705 of file mlMatrix5.h.

◆ Matrix5d

typedef Tmat5<MLdouble> ml::Matrix5d

A 5x5 matrix of type double.

Definition at line 701 of file mlMatrix5.h.

◆ Matrix5f

typedef Tmat5<MLfloat> ml::Matrix5f

A 5x5 matrix of type float.

Definition at line 699 of file mlMatrix5.h.

◆ Matrix5ld

typedef Tmat5<MLldouble> ml::Matrix5ld

A 5x5 matrix of type long double.

Definition at line 703 of file mlMatrix5.h.

◆ Matrix6

typedef Tmat6<MLdouble> ml::Matrix6

The standard 6x6 matrix of type double.

Definition at line 636 of file mlMatrix6.h.

◆ Matrix6d

typedef Tmat6<MLdouble> ml::Matrix6d

A 6x6 matrix of type double.

Definition at line 632 of file mlMatrix6.h.

◆ Matrix6f

typedef Tmat6<MLfloat> ml::Matrix6f

A 6x6 matrix of type float.

Definition at line 630 of file mlMatrix6.h.

◆ Matrix6ld

typedef Tmat6<MLldouble> ml::Matrix6ld

A 6x6 matrix of type long double.

Definition at line 634 of file mlMatrix6.h.

◆ MLGlobalTraceBufferType

typedef MLuint16 ml::MLGlobalTraceBufferType

The type used in the MLGlobalTraceBuffer.

Definition at line 238 of file mlTrace.h.

◆ Quaternion

typedef TQuaternion<MLdouble> ml::Quaternion

Define the default Quaternion type which is used by the ML; it uses double as component type.

Definition at line 933 of file mlQuaternion.h.

◆ Quaterniond

typedef TQuaternion<MLdouble> ml::Quaterniond

The default Quaternion type used in the ML as specialization from TQuaternion.

Definition at line 927 of file mlQuaternion.h.

◆ Quaternionf

typedef TQuaternion<MLfloat> ml::Quaternionf

A smaller Quaternion type as specialization from TQuaternion.

Definition at line 924 of file mlQuaternion.h.

◆ Quaternionld

typedef TQuaternion<MLldouble> ml::Quaternionld

A large Quaternion type for further extensions of the ML as specialization from TQuaternion.

Definition at line 930 of file mlQuaternion.h.

◆ RecursiveLock

typedef boost::recursive_mutex::scoped_lock ml::RecursiveLock

Defines a lock for locking a recursive mutex.

Definition at line 34 of file mlMutex.h.

◆ ScaleShiftData

typedef TScaleShiftData<MLdouble> ml::ScaleShiftData

Double version of TScaleShiftData for maximum reasonable precision.

Definition at line 326 of file mlScaleShiftData.h.

◆ SubImageBox

typedef TSubImageBox<MLint> ml::SubImageBox

Define the standard SubImageBox type used in the ML. Its size varies with the size of the MLint type.

Definition at line 285 of file mlSubImageBox.h.

◆ Thread

typedef boost::thread ml::Thread

Definition at line 26 of file mlThread.h.

◆ TileRequestFinishedCB

typedef void ml::TileRequestFinishedCB(void *data, TileRequest *request)

Callback for a finished TileRequest.

Definition at line 34 of file mlTileRequest.h.

◆ TriggerField

typedef NotifyField ml::TriggerField

TriggerField is an alias for the NotifyField, which is easier to find for Open Inventor users which are used to the "SoSFTrigger" field.

Definition at line 1077 of file mlFields.h.

◆ Vec10fField

typedef Vector10Field ml::Vec10fField

Definition at line 2053 of file mlFields.h.

◆ Vector10

typedef Tvec10<MLdouble> ml::Vector10

A vector with 10 components of type double.

Definition at line 103 of file mlVector10.h.

◆ Vector10d

typedef Tvec10<MLdouble> ml::Vector10d

A vector with 10 components of type double.

Definition at line 99 of file mlVector10.h.

◆ Vector10f

typedef Tvec10<MLfloat> ml::Vector10f

A vector with 10 components of type float.

Definition at line 97 of file mlVector10.h.

◆ Vector10ld

typedef Tvec10<MLldouble> ml::Vector10ld

A vector with 10 components of type long double.

Definition at line 101 of file mlVector10.h.

◆ Vector16

typedef Tvec16<MLdouble> ml::Vector16

A vector with 16 components of type double.

Definition at line 110 of file mlVector16.h.

◆ Vector16d

typedef Tvec16<MLdouble> ml::Vector16d

A vector with 16 components of type double.

Definition at line 106 of file mlVector16.h.

◆ Vector16f

typedef Tvec16<MLfloat> ml::Vector16f

A vector with 16 components of type float.

Definition at line 104 of file mlVector16.h.

◆ Vector16ld

typedef Tvec16<MLldouble> ml::Vector16ld

A vector with 16 components of type long double.

Definition at line 108 of file mlVector16.h.

◆ Vector2

typedef Tvec2<MLdouble> ml::Vector2

A vector with 2 components of type double.

Definition at line 159 of file mlVector2.h.

◆ Vector2d

typedef Tvec2<MLdouble> ml::Vector2d

A vector with 2 components of type double.

Definition at line 155 of file mlVector2.h.

◆ Vector2f

typedef Tvec2<MLfloat> ml::Vector2f

A vector with 2 components of type float.

Definition at line 153 of file mlVector2.h.

◆ Vector2ld

typedef Tvec2<MLldouble> ml::Vector2ld

A vector with 2 components of type long double.

Definition at line 157 of file mlVector2.h.

◆ Vector3

typedef Tvec3<MLdouble> ml::Vector3

A vector with 3 components of type double.

Definition at line 300 of file mlVector3.h.

◆ Vector32

typedef Tvec32<MLdouble> ml::Vector32

A vector with 32 components of type double.

Definition at line 134 of file mlVector32.h.

◆ Vector32d

typedef Tvec32<MLdouble> ml::Vector32d

A vector with 32 components of type double.

Definition at line 130 of file mlVector32.h.

◆ Vector32f

typedef Tvec32<MLfloat> ml::Vector32f

A vector with 32 components of type float.

Definition at line 128 of file mlVector32.h.

◆ Vector32ld

typedef Tvec32<MLldouble> ml::Vector32ld

A vector with 32 components of type long double.

Definition at line 132 of file mlVector32.h.

◆ Vector3d

typedef Tvec3<MLdouble> ml::Vector3d

A vector with 3 components of type double.

Definition at line 296 of file mlVector3.h.

◆ Vector3f

typedef Tvec3<MLfloat> ml::Vector3f

A vector with 3 components of type float.

Definition at line 294 of file mlVector3.h.

◆ Vector3ld

typedef Tvec3<MLldouble> ml::Vector3ld

A vector with 3 components of type long double.

Definition at line 298 of file mlVector3.h.

◆ Vector4

typedef Tvec4<MLdouble> ml::Vector4

A vector with 4 components of type double.

Definition at line 162 of file mlVector4.h.

◆ Vector4d

typedef Tvec4<MLdouble> ml::Vector4d

A vector with 4 components of type double.

Definition at line 158 of file mlVector4.h.

◆ Vector4f

typedef Tvec4<MLfloat> ml::Vector4f

A vector with 4 components of type float.

Definition at line 156 of file mlVector4.h.

◆ Vector4ld

typedef Tvec4<MLldouble> ml::Vector4ld

A vector with 4 components of type long double.

Definition at line 160 of file mlVector4.h.

◆ Vector5

typedef Tvec5<MLdouble> ml::Vector5

A vector with 5 components of type double.

Definition at line 207 of file mlVector5.h.

◆ Vector5d

typedef Tvec5<MLdouble> ml::Vector5d

A vector with 5 components of type double.

Definition at line 203 of file mlVector5.h.

◆ Vector5f

typedef Tvec5<MLfloat> ml::Vector5f

A vector with 5 components of type float.

Definition at line 201 of file mlVector5.h.

◆ Vector5ld

typedef Tvec5<MLldouble> ml::Vector5ld

A vector with 5 components of type long double.

Definition at line 205 of file mlVector5.h.

◆ Vector6

typedef Tvec6<MLdouble> ml::Vector6

A vector with 6 components of type double.

Definition at line 194 of file mlVector6.h.

◆ Vector64

typedef Tvec64<MLdouble> ml::Vector64

A vector with 64 components of type double.

Definition at line 159 of file mlVector64.h.

◆ Vector64d

typedef Tvec64<MLdouble> ml::Vector64d

A vector with 64 components of type double.

Definition at line 155 of file mlVector64.h.

◆ Vector64f

typedef Tvec64<MLfloat> ml::Vector64f

A vector with 64 components of type float.

Definition at line 153 of file mlVector64.h.

◆ Vector64ld

typedef Tvec64<MLldouble> ml::Vector64ld

A vector with 64 components of type long double.

Definition at line 157 of file mlVector64.h.

◆ Vector6d

typedef Tvec6<MLdouble> ml::Vector6d

A vector with 6 components of type double.

Definition at line 190 of file mlVector6.h.

◆ Vector6f

typedef Tvec6<MLfloat> ml::Vector6f

A vector with 6 components of type float.

Definition at line 188 of file mlVector6.h.

◆ Vector6ld

typedef Tvec6<MLldouble> ml::Vector6ld

A vector with 6 components of type long double.

Definition at line 192 of file mlVector6.h.

◆ Vector7

typedef Tvec7<MLdouble> ml::Vector7

A vector with 7 components of type double.

Definition at line 98 of file mlVector7.h.

◆ Vector7d

typedef Tvec7<MLdouble> ml::Vector7d

A vector with 7 components of type double.

Definition at line 94 of file mlVector7.h.

◆ Vector7f

typedef Tvec7<MLfloat> ml::Vector7f

A vector with 7 components of type float.

Definition at line 92 of file mlVector7.h.

◆ Vector7ld

typedef Tvec7<MLldouble> ml::Vector7ld

A vector with 7 components of type long double.

Definition at line 96 of file mlVector7.h.

◆ Vector8

typedef Tvec8<MLdouble> ml::Vector8

A vector with 8 components of type double.

Definition at line 99 of file mlVector8.h.

◆ Vector8d

typedef Tvec8<MLdouble> ml::Vector8d

A vector with 8 components of type double.

Definition at line 95 of file mlVector8.h.

◆ Vector8f

typedef Tvec8<MLfloat> ml::Vector8f

A vector with 8 components of type float.

Definition at line 93 of file mlVector8.h.

◆ Vector8ld

typedef Tvec8<MLldouble> ml::Vector8ld

A vector with 8 components of type long double.

Definition at line 97 of file mlVector8.h.

◆ Vector9

typedef Tvec9<MLdouble> ml::Vector9

A vector with 9 components of type double.

Definition at line 102 of file mlVector9.h.

◆ Vector9d

typedef Tvec9<MLdouble> ml::Vector9d

A vector with 9 components of type double.

Definition at line 98 of file mlVector9.h.

◆ Vector9f

typedef Tvec9<MLfloat> ml::Vector9f

A vector with 9 components of type float.

Definition at line 96 of file mlVector9.h.

◆ Vector9ld

typedef Tvec9<MLldouble> ml::Vector9ld

A vector with 9 components of type long double.

Definition at line 100 of file mlVector9.h.

◆ VectorDimIdxType

typedef int ml::VectorDimIdxType

Signed integer type used as count and index type to traverse the array of the TVector.

Definition at line 28 of file mlIntegerVector.h.

Enumeration Type Documentation

◆ anonymous enum

anonymous enum

TreeNode exceptions.

They have been placed outside of the class to prevent the user from having to add TreeNodeException:: at the beginning of each code. Do not forget to edit the array TreeNodeException::_stdErrorMsg[] when modifying the enum.

Enumerator
TNE_VoidImplementation
TNE_NotSupported
TNE_ChildNotFound
TNE_AddingBase
TNE_ReadingBase
TNE_ReadingUChar
TNE_ReadingChar
TNE_ReadingUShort
TNE_ReadingShort
TNE_ReadingUInt
TNE_ReadingInt
TNE_ReadingULong
TNE_ReadingLong
TNE_ReadingFloat
TNE_ReadingDouble
TNE_ReadingLDouble
TNE_ReadingString
TNE_ReadingVector2
TNE_ReadingVector3
TNE_ReadingVector4
TNE_ReadingVector6
TNE_ReadingImageVector
TNE_ReadingMatrix3
TNE_ReadingMatrix4
TNE_ReadingSubImageBox
TNE_ReadingSubImageBoxd
TNE_InvalidReadNext
TNE_InvalidParentNode
TNE_FileNotFound
TNE_ReadingFile
TNE_WritingFile
TNE_UnsupportedClassVersion
TNE_UserDefined
TNE_Unknown
TNE_ReadingMLint64
TNE_ReadingMLuint64
TNE_COUNT

Definition at line 44 of file mlTreeNode.h.

◆ anonymous enum

anonymous enum

Enumerator
ML_INTEGER_TYPE
ML_FLOAT_TYPE
ML_SIGNED_TYPE

Definition at line 84 of file mlTypeTraits.h.

◆ anonymous enum

anonymous enum

The default dimension of images in the ML.

Enumerator
MLMaxImageDimension

Definition at line 29 of file mlImageVector.h.

Function Documentation

◆ abs()

template<typename DT >

DT ml::abs ( DT val )

inline

Definition at line 120 of file mlTypeDefTraits.h.

Referenced by ml::Tmat3< DT >::jacobi().

◆ almostEqualRelativeAndAbs()

template<typename T >

constexpr bool ml::almostEqualRelativeAndAbs	(	T	x,
		T	y,
		T	absoluteEpsilon,
		T	relativeEpsilon = `std::numeric_limits<T>::epsilon()`
	)

constexpr

Definition at line 43 of file mlNumericHelpers.h.

◆ clamp()

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > clamp	(	FloatingPointVector< T, size, DataContainer >	vec,
		const FloatingPointVector< T, size, DataContainer > &	lower,
		const FloatingPointVector< T, size, DataContainer > &	upper
	)

inline

Returns a new vector with all components from vec clamped to range [lower, upper].

Not that this does not hold if components in lower are greater than their corresponding ones in upper. See FloatingPointVector<T, size, DataContainer>::clamp().

Definition at line 570 of file mlFloatingPointVector.h.

◆ clampMax()

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > clampMax	(	FloatingPointVector< T, size, DataContainer >	vec,
		const FloatingPointVector< T, size, DataContainer > &	m
	)

inline

Returns a new vector with all components from vec clamped to maximum m.

See FloatingPointVector<T, size, DataContainer>::clampMax().

Definition at line 555 of file mlFloatingPointVector.h.

◆ clampMin()

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > clampMin	(	FloatingPointVector< T, size, DataContainer >	vec,
		const FloatingPointVector< T, size, DataContainer > &	m
	)

inline

Returns a new vector with all components from vec clamped to minimum m.

See FloatingPointVector<T, size, DataContainer>::clampMin().

Definition at line 542 of file mlFloatingPointVector.h.

◆ compAbs()

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > compAbs ( FloatingPointVector< T, size, DataContainer > vec )

inline

Returns a vector with all components from vec without negative sign.

Definition at line 494 of file mlFloatingPointVector.h.

Referenced by ml::TVector< TVectorBase >::compAbs().

◆ compDiv()

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > compDiv	(	FloatingPointVector< T, size, DataContainer >	vec,
		const FloatingPointVector< T, size, DataContainer > &	d
	)

inline

Component wise division of vec / d.

Division by zeros are not handled and must be avoided by caller.

Definition at line 529 of file mlFloatingPointVector.h.

◆ compMax()

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > compMax	(	FloatingPointVector< T, size, DataContainer >	buffer1,
		const FloatingPointVector< T, size, DataContainer > &	buffer2
	)

inline

Component wise maximum of buffer1 and buffer2.

Definition at line 482 of file mlFloatingPointVector.h.

Referenced by ml::SubImageBoxd::clamp(), ml::TSubImageBox< intT >::clamp(), ml::TVector< TVectorBase >::compMax(), ml::SubImageBoxd::intersect(), ml::TSubImageBox< intT >::intersect(), and ml::TSubImageBox< intT >::merge().

◆ compMin()

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > compMin	(	FloatingPointVector< T, size, DataContainer >	buffer1,
		const FloatingPointVector< T, size, DataContainer > &	buffer2
	)

inline

Component wise minimum of buffer1 and buffer2.

Definition at line 470 of file mlFloatingPointVector.h.

Referenced by ml::SubImageBoxd::clamp(), ml::TSubImageBox< intT >::clamp(), ml::TVector< TVectorBase >::compMin(), ml::SubImageBoxd::intersect(), ml::TSubImageBox< intT >::intersect(), and ml::TSubImageBox< intT >::merge().

◆ compMul()

template<class T , size_t size, class DataContainer >

T compMul ( const FloatingPointVector< T, size, DataContainer > & vec )

inline

Returns the product of all components.

Definition at line 584 of file mlFloatingPointVector.h.

Referenced by ml::TVector< TVectorBase >::compMul(), ml::ImageProperties::getNumVoxels(), and ml::TSubImageBox< intT >::getNumVoxels().

◆ compSqr()

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > compSqr ( FloatingPointVector< T, size, DataContainer > vec )

inline

Returns a vector with all components from vec squared.

Definition at line 505 of file mlFloatingPointVector.h.

◆ compSqrt()

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > compSqrt ( FloatingPointVector< T, size, DataContainer > vec )

inline

Returns a vector with all components from vec square-rooted.

Definition at line 517 of file mlFloatingPointVector.h.

◆ convertTo()

template<typename T , std::size_t N>

constexpr T ml::convertTo ( const char(&) t[N] )

constexpr

Definition at line 25 of file mlNumericHelpers.h.

◆ convertToUTF8String() [1/2]

ML_UTILS_EXPORT std::string ml::convertToUTF8String ( const std::wstring & text )

◆ convertToUTF8String() [2/2]

ML_UTILS_EXPORT std::string ml::convertToUTF8String ( const wchar_t * text )

◆ convertUTF8ToWString() [1/2]

ML_UTILS_EXPORT std::wstring ml::convertUTF8ToWString ( const char * text )

◆ convertUTF8ToWString() [2/2]

ML_UTILS_EXPORT std::wstring ml::convertUTF8ToWString ( const std::string & text )

◆ createTSubImageVariant()

template<typename... T>

TSubImageVariant<T...> ml::createTSubImageVariant ( const SubImage * subImage )

Creates from the provided SubImage a variant of any of the provided types T containing the TSubImage<T>

Example:

 void ExampleModule::calculateOutputSubImage(SubImage *outSubImage, int outIndex,
                                             SubImage *inputSubImage)
 {
   auto input = createTSubImageVariant<MLuint8, MLint8, MLuint16, MLint16, MLuint32, MLint32,
                                       MLuint64, MLint64, MLfloat, MLdouble>(inputSubImage);
   auto output = createTSubImageVariant<MLuint8, MLint8, MLuint16, MLint16, MLuint32, MLint32,
                                        MLuint64, MLint64, MLfloat, MLdouble>(outSubImage);
 
   auto visitor = [this, outIndex](auto &out, const auto &in)
     { calculateOutputSubImage(out, outIndex, in); };
 
   std::visit(visitor, output, input);
 }
 
 
 template <typename T, typename U>
 void ExampleModule::calculateOutputSubImage(TSubImage<T> &outputSubImage,
                                             int outputIndex,
                                             const TSubImage<U> &inputSubImage)
{
  // do the output image calculation here 
}

Parameters

image The input SubImage

Definition at line 242 of file mlTSubImageVariant.h.

◆ createTSubImageVariantArray()

template<std::size_t N, typename... T>

TSubImageVariantArray<N, T...> ml::createTSubImageVariantArray ( const SubImage * inputs )

Creates from input SubImages an array of variant of any of the provided types T containing the TSubImage<T>

Example:

void ExampleModule::calculateOutputSubImage(SubImage *outSubImage,
                                            int outIndex,
                                            SubImage *inSubImage)
{
  auto inputs =
      createTSubImageVariantArray<NumberInputs, MLuint8, MLint8, MLuint16, MLint16, MLuint32,
                                  MLint32, MLuint64, MLint64, MLfloat, MLdouble>(inSubImage);
  auto output = createTSubImageVariant<MLuint8, MLint8, MLuint16, MLint16, MLuint32, MLint32,
                                       MLuint64, MLint64, MLfloat, MLdouble>(outSubImage);
 
  auto visitor = [this, outIndex](auto &out, const auto &in)
    { calculateOutputSubImage(out, outIndex, in); };
 
  std::visit(visitor, output, inputs);
}
 
template <typename T, typename U, std::size_t N>
void ExampleModule::calculateOutputSubImage(TSubImage<T> &outputSubImage,
                                            int outputIndex,
                                            const std::array<TSubImage<U>, N> &inputSubImage)
{
  // do the output image calculation here
}

Parameters

input A C-array of size N of valid input pointers

Definition at line 316 of file mlTSubImageVariant.h.

◆ createTSubImageVariantArrayPair()

template<std::size_t N, typename... T>

TSubImageVariantArrayPair<N, T...> ml::createTSubImageVariantArrayPair	(	SubImage &	output,
		const SubImage *	inputs
	)

Creates from the provided output and input SubImages a variant of a pair of TSubImage and array of TSubImages. Input and output types are always the same

Example:

void ExampleModule::calculateOutputSubImage(SubImage *outputSubImage,
                                            int outIndex,
                                            SubImage *inputSubImages)
{
  auto variantArrayPair =
      createTSubImageVariantArrayPair<NumberInputs, MLuint8, MLint8, MLuint16, MLint16, MLuint32,
                                  MLint32, MLuint64, MLint64, MLfloat, MLdouble>(*outputSubImage,
                                                                                 inputSubImages);
 
  auto visitor = [this, outIndex](auto &ip)
    { calculateOutputSubImage(ip.output, outIndex, ip.inputs); };
 
  std::visit(visitor, variantArrayPair);
}
 
template <typename T, std::size_t N>
void ExampleModule::calculateOutputSubImage(TSubImage<T> &outputSubImage,
                                            int outIndex,
                                            const std::array<TSubImage<T>, N> &inputSubImages)
{
  // do the output image calculation here
}

Parameters

output	The output image
input	A C-array of size N of valid input pointers

Definition at line 355 of file mlTSubImageVariant.h.

References ml::SubImage::getDataType().

◆ createTSubImageVariantPair()

template<typename... T>

TSubImageVariantPair<T...> ml::createTSubImageVariantPair	(	SubImage &	output,
		const SubImage *	input
	)

Creates from the provided output and input SubImage a variant of any of the provided types T containing the TSubImage<T>. The input and output voxel type are always the same.

Example:

void ExampleModule::calculateOutputSubImage(SubImage* outputSubImage, int outIndex, SubImage* inputSubImage)
{
  auto imagePair =
      createTSubImageVariantPair<MLuint8, MLint8, MLuint16, MLint16, MLuint32, MLint32, MLuint64,
                                 MLint64, MLfloat, MLdouble>(*outputSubImage, inputSubImage);
 
  auto visitor = [this, outIndex](auto& ip) { calculateOutputSubImage(ip.output, outIndex, ip.input); };
 
  std::visit(visitor, imagePair);
}
 
template <typename T>
void ExampleModule::calculateOutputSubImage(TSubImage<T>& outputSubImage, int, TSubImage<T>& inputSubImage0)
{
  // do the output image calculation here
}  

Parameters

output	The output SubImage
input	A valid pointer to a single input image

Definition at line 276 of file mlTSubImageVariant.h.

◆ execute_default()

void ML_UTILS_EXPORT ml::execute_default ( stlab::task< void()> f )

◆ execute_high()

void ML_UTILS_EXPORT ml::execute_high ( stlab::task< void()> f )

◆ execute_low()

void ML_UTILS_EXPORT ml::execute_low ( stlab::task< void()> f )

◆ flatten()

template<typename T >

void ml::flatten	(	const tree_node< T > &	tree,
		std::vector< T > &	flatten_elements
	)

Definition at line 33 of file mlContainers.h.

References ml::tree_node< T >::children, and ml::tree_node< T >::value.

◆ hash_value()

std::size_t ml::hash_value ( ConstantString const & b )

inline

Definition at line 179 of file mlConstantString.h.

References ml::ConstantString::getHash().

◆ identity2D()

template<class DT >

Tmat3<DT> ml::identity2D ( )

Returns a 3x3 homogeneous identity2D matrix; synonym for Tmat3<DT>::getIdentity().

Definition at line 502 of file mlMatrix3.h.

◆ identity3D()

template<class DT >

Tmat4<DT> ml::identity3D ( )

Returns a 4x4 homogeneous identity3D matrix; synonym for Tmat4<DT>::getIdentity().

Definition at line 609 of file mlMatrix4.h.

◆ insert_set_sorted()

template<typename T >

void ml::insert_set_sorted	(	tree_node< T > &	tree,
		T	newValue,
		T	zero = `{}`
	)

Definition at line 51 of file mlContainers.h.

◆ intrusive_ptr_add_ref()

void ml::intrusive_ptr_add_ref ( const ml::RefCountedBase * p )

inline

Definition at line 66 of file mlRefCountedBase.h.

◆ intrusive_ptr_release()

void ml::intrusive_ptr_release ( const ml::RefCountedBase * p )

inline

Definition at line 71 of file mlRefCountedBase.h.

◆ iround()

ML_UTILS_EXPORT int ml::iround ( double x )

◆ iroundf()

ML_UTILS_EXPORT int ml::iroundf ( float x )

◆ is()

template<class T >

constexpr Is<T> ml::is ( T d )

constexpr

Definition at line 41 of file mlContainerHelpers.h.

Referenced by std::operator>>(), and ml::FloatingPointVector< T, size, DataContainer >::readIn().

◆ is_rotated() [1/2]

template<typename Range1 , typename Range2 >

constexpr Range2::const_iterator ml::is_rotated	(	const Range1 &	range1,
		const Range2 &	range2
	)

constexpr

Definition at line 230 of file mlContainerHelpers.h.

◆ is_rotated() [2/2]

template<typename Range1 , typename Range2 , typename BinaryPredicate >

constexpr Range2::const_iterator ml::is_rotated	(	const Range1 &	range1,
		const Range2 &	range2,
		BinaryPredicate	p
	)

constexpr

Definition at line 190 of file mlContainerHelpers.h.

◆ logTypeComponentsFromStringError()

void ML_UTILS_EXPORT ml::logTypeComponentsFromStringError ( const char * function )

Referenced by ml::MLTStdTypeInfos< VTYP >::MLTYPE_setStringValue().

◆ lround()

ML_UTILS_EXPORT long ml::lround ( double x )

◆ lroundf()

ML_UTILS_EXPORT long ml::lroundf ( float x )

◆ mlAbs() [1/5]

MLuint16 ml::mlAbs ( MLuint16 a )

inline

Definition at line 82 of file mlUtilsSystem.h.

◆ mlAbs() [2/5]

MLuint32 ml::mlAbs ( MLuint32 a )

inline

Definition at line 83 of file mlUtilsSystem.h.

◆ mlAbs() [3/5]

MLuint64 ml::mlAbs ( MLuint64 a )

inline

Definition at line 84 of file mlUtilsSystem.h.

◆ mlAbs() [4/5]

MLuint8 ml::mlAbs ( MLuint8 a )

inline

Implement mlAbs specializations to avoid comparison < 0 warnings on unsigned types.

Definition at line 81 of file mlUtilsSystem.h.

◆ mlAbs() [5/5]

template<typename T >

T ml::mlAbs ( T a )

Defines ML specific abs template since only type depended library functions exists.

Definition at line 76 of file mlUtilsSystem.h.

◆ MLCallMethodWithArguments() [1/6]

template<class Object , class Method >

void ml::MLCallMethodWithArguments	(	Object *	object,
		Method	method,
		const ArgumentList0 &
	)

Calls a method on given object with 0 arguments.

Definition at line 108 of file mlArgumentList.h.

◆ MLCallMethodWithArguments() [2/6]

template<class Object , class Method , class Arg1 >

void ml::MLCallMethodWithArguments	(	Object *	object,
		Method	method,
		const ArgumentList1< Arg1 > &	args
	)

Calls a method on given object with 1 argument.

Definition at line 113 of file mlArgumentList.h.

References ml::ArgumentList1< Arg1 >::_arg1.

◆ MLCallMethodWithArguments() [3/6]

template<class Object , class Method , class Arg1 , class Arg2 >

void ml::MLCallMethodWithArguments	(	Object *	object,
		Method	method,
		const ArgumentList2< Arg1, Arg2 > &	args
	)

Calls a method on given object with 2 arguments.

Definition at line 118 of file mlArgumentList.h.

References ml::ArgumentList2< Arg1, Arg2 >::_arg1, and ml::ArgumentList2< Arg1, Arg2 >::_arg2.

◆ MLCallMethodWithArguments() [4/6]

template<class Object , class Method , class Arg1 , class Arg2 , class Arg3 >

void ml::MLCallMethodWithArguments	(	Object *	object,
		Method	method,
		const ArgumentList3< Arg1, Arg2, Arg3 > &	args
	)

Calls a method on given object with 3 arguments.

Definition at line 124 of file mlArgumentList.h.

References ml::ArgumentList3< Arg1, Arg2, Arg3 >::_arg1, ml::ArgumentList3< Arg1, Arg2, Arg3 >::_arg2, and ml::ArgumentList3< Arg1, Arg2, Arg3 >::_arg3.

◆ MLCallMethodWithArguments() [5/6]

template<class Object , class Method , class Arg1 , class Arg2 , class Arg3 , class Arg4 >

void ml::MLCallMethodWithArguments	(	Object *	object,
		Method	method,
		const ArgumentList4< Arg1, Arg2, Arg3, Arg4 > &	args
	)

Calls a method on given object with 4 arguments.

Definition at line 129 of file mlArgumentList.h.

References ml::ArgumentList4< Arg1, Arg2, Arg3, Arg4 >::_arg1, ml::ArgumentList4< Arg1, Arg2, Arg3, Arg4 >::_arg2, ml::ArgumentList4< Arg1, Arg2, Arg3, Arg4 >::_arg3, and ml::ArgumentList4< Arg1, Arg2, Arg3, Arg4 >::_arg4.

◆ MLCallMethodWithArguments() [6/6]

template<class Object , class Method , class Arg1 , class Arg2 , class Arg3 , class Arg4 , class Arg5 >

void ml::MLCallMethodWithArguments	(	Object *	object,
		Method	method,
		const ArgumentList5< Arg1, Arg2, Arg3, Arg4, Arg5 > &	args
	)

Calls a method on given object with 5 arguments.

Definition at line 134 of file mlArgumentList.h.

References ml::ArgumentList5< Arg1, Arg2, Arg3, Arg4, Arg5 >::_arg1, ml::ArgumentList5< Arg1, Arg2, Arg3, Arg4, Arg5 >::_arg2, ml::ArgumentList5< Arg1, Arg2, Arg3, Arg4, Arg5 >::_arg3, ml::ArgumentList5< Arg1, Arg2, Arg3, Arg4, Arg5 >::_arg4, and ml::ArgumentList5< Arg1, Arg2, Arg3, Arg4, Arg5 >::_arg5.

◆ MLGenerateArgumentList() [1/6]

ArgumentList0 ml::MLGenerateArgumentList ( )

inline

Creates argument list with 0 arguments.

Definition at line 80 of file mlArgumentList.h.

◆ MLGenerateArgumentList() [2/6]

template<class Arg1 >

ArgumentList1<Arg1> ml::MLGenerateArgumentList ( const Arg1 & arg1 )

inline

Create argument list with 1 argument.

Definition at line 84 of file mlArgumentList.h.

◆ MLGenerateArgumentList() [3/6]

template<class Arg1 , class Arg2 >

ArgumentList2<Arg1, Arg2> ml::MLGenerateArgumentList	(	const Arg1 &	arg1,
		const Arg2 &	arg2
	)

inline

Creates argument list with 2 arguments.

Definition at line 89 of file mlArgumentList.h.

◆ MLGenerateArgumentList() [4/6]

template<class Arg1 , class Arg2 , class Arg3 >

ArgumentList3<Arg1, Arg2, Arg3> ml::MLGenerateArgumentList	(	const Arg1 &	arg1,
		const Arg2 &	arg2,
		const Arg3 &	arg3
	)

inline

Creates argument list with 3 arguments.

Definition at line 93 of file mlArgumentList.h.

◆ MLGenerateArgumentList() [5/6]

template<class Arg1 , class Arg2 , class Arg3 , class Arg4 >

ArgumentList4<Arg1, Arg2, Arg3, Arg4> ml::MLGenerateArgumentList	(	const Arg1 &	arg1,
		const Arg2 &	arg2,
		const Arg3 &	arg3,
		const Arg4 &	arg4
	)

inline

Creates argument list with 4 arguments.

Definition at line 98 of file mlArgumentList.h.

◆ MLGenerateArgumentList() [6/6]

template<class Arg1 , class Arg2 , class Arg3 , class Arg4 , class Arg5 >

ArgumentList5<Arg1, Arg2, Arg3, Arg4, Arg5> ml::MLGenerateArgumentList	(	const Arg1 &	arg1,
		const Arg2 &	arg2,
		const Arg3 &	arg3,
		const Arg4 &	arg4,
		const Arg5 &	arg5
	)

inline

Creates argument list with 5 arguments.

Definition at line 102 of file mlArgumentList.h.

◆ MLInitFields()

MLEXPORT void ml::MLInitFields ( )

Initialize all standard fields of the ML.

◆ MLInitListFields()

MLEXPORT void ml::MLInitListFields ( )

Initialize all multi fields of the ML.

◆ MLInverseMatHelper()

template<class BASE_TYPE >

BASE_TYPE ml::MLInverseMatHelper	(	const BASE_TYPE &	origMat,
		bool *	isInvertible,
		const typename BASE_TYPE::ComponentType	,
		const char *const	ZeroDetErrString,
		const BASE_TYPE &	Identity,
		const size_t	Dim
	)

Computes an N dimensional inverse from given default parameters.

The used algorithm is the Gauss-Jordan elimination with partial pivoting.

Parameters

origMat	The matrix to be inverted.
isInvertible	If a non-NULL Boolean pointer is passed to isInvertible then true is returned in *isInvertible in the case of a successful inversion or false if the inversion is not possible (function return is the identity then). If a NULL pointer is passed as isInvertible the matrix must be invertible, otherwise errors will occur.
ZeroEpsilon	Unused. Former versions used this as an epsilon value to compare to decide whether the determinant is zero or not. Now an MLValueIs0WOM check is used.
ZeroDetErrString	Error to be posted if isInvertible is NULL and inverse cannot be calculated.
Identity	Identity to be returned in case of errors.
Dim	The dimension of the matrix.

Definition at line 60 of file mlLinearAlgebraTools.h.

References ML_BAD_PARAMETER, MLAbs(), MLSwap(), MLValueIs0WOM(), and printTemplateError().

Referenced by ml::Tmat3< DT >::inverse(), ml::Tmat4< DT >::inverse(), ml::Tmat5< DT >::inverse(), and ml::Tmat6< DT >::inverse().

◆ mlMax()

template<typename T >

T ml::mlMax	(	T	a,
		T	b
	)

Defines ML specific max template since max template is platform dependent.

See also ML_MIN and ML_MAX macros in mlTypeDefs.h.

Definition at line 73 of file mlUtilsSystem.h.

◆ mlMin()

template<typename T >

T ml::mlMin	(	T	a,
		T	b
	)

Defines ML specific min template since min template is platform dependent.

See also ML_MIN and ML_MAX macros in mlTypeDefs.h.

Definition at line 69 of file mlUtilsSystem.h.

◆ MLSwap()

template<class OBJ_TYPE >

void ml::MLSwap	(	OBJ_TYPE &	obj1,
		OBJ_TYPE &	obj2
	)

Swaps two objects obj1 and obj2.

It requires valid assignment operators on OBJ_TYP.

Definition at line 33 of file mlLinearAlgebraTools.h.

Referenced by MLInverseMatHelper().

◆ operator!()

template<class T , size_t size, class DataContainer >

bool operator! ( const FloatingPointVector< T, size, DataContainer > & a )

inline

Returns whether all components are 0.

Definition at line 373 of file mlFloatingPointVector.h.

◆ operator!=() [1/5]

template<class DT >

bool ml::operator!=	(	const Tmat2< DT > &	a,
		const Tmat2< DT > &	b
	)

inline

a != b ? Return true if yes.

Definition at line 433 of file mlMatrix2.h.

◆ operator!=() [2/5]

template<class DT >

bool ml::operator!=	(	const Tmat3< DT > &	a,
		const Tmat3< DT > &	b
	)

inline

a != b ? Return true if yes, otherwise false.

Definition at line 486 of file mlMatrix3.h.

◆ operator!=() [3/5]

template<class DT >

bool ml::operator!=	(	const Tmat4< DT > &	a,
		const Tmat4< DT > &	b
	)

inline

a != b ? Return true if yes.

Definition at line 388 of file mlMatrix4.h.

◆ operator!=() [4/5]

template<class DT >

bool ml::operator!=	(	const Tmat5< DT > &	a,
		const Tmat5< DT > &	b
	)

inline

a != b ? Return true if yes, otherwise false.

Definition at line 686 of file mlMatrix5.h.

◆ operator!=() [5/5]

template<class DT >

bool ml::operator!=	(	const Tmat6< DT > &	a,
		const Tmat6< DT > &	b
	)

a != b ? Return true if yes, otherwise false.

Definition at line 596 of file mlMatrix6.h.

◆ operator*() [1/30]

template<class DT >

Tmat2<DT> ml::operator*	(	const DT	d,
		const Tmat2< DT > &	a
	)

inline

Returns the component wise multiplication of scalar d with matrix a.

Definition at line 474 of file mlMatrix2.h.

◆ operator*() [2/30]

template<class DT >

Tmat3<DT> ml::operator*	(	const DT	d,
		const Tmat3< DT > &	a
	)

inline

Returns the component wise multiplication of scalar d with matrix a.

Definition at line 302 of file mlMatrix3.h.

◆ operator*() [3/30]

template<class DT >

Tmat4<DT> ml::operator*	(	const DT	d,
		const Tmat4< DT > &	a
	)

inline

Returns the component wise multiplication of scalar d with matrix a.

Definition at line 429 of file mlMatrix4.h.

◆ operator*() [4/30]

template<class DT >

Tmat5<DT> ml::operator*	(	const DT	d,
		const Tmat5< DT > &	a
	)

inline

Returns the component wise product of scalar d with matrix a.

Definition at line 338 of file mlMatrix5.h.

◆ operator*() [5/30]

template<class DT >

Tmat6<DT> ml::operator*	(	const DT	d,
		const Tmat6< DT > &	a
	)

inline

Returns the component wise product of scalar d with matrix a.

Definition at line 335 of file mlMatrix6.h.

◆ operator*() [6/30]

template<class T , size_t size, class DataContainer >

T operator*	(	const FloatingPointVector< T, size, DataContainer > &	a,
		const FloatingPointVector< T, size, DataContainer > &	b
	)

inline

Dot product, returns a.dot(b).

Definition at line 430 of file mlFloatingPointVector.h.

Referenced by ml::ContainerProxy< T, R, I, Count, Access >::iterator::operator->().

◆ operator*() [7/30]

template<class DT >

Tmat2<DT> ml::operator*	(	const Tmat2< DT > &	a,
		const Tmat2< DT > &	b
	)

inline

Definition at line 414 of file mlMatrix2.h.

References _ML_MAT2_RC.

◆ operator*() [8/30]

template<class DT >

Tvec2<DT> ml::operator*	(	const Tmat2< DT > &	a,
		const Tvec2< DT > &	v
	)

inline

Normal multiplication of 2x2 matrix a with 2D vector v with a Tvec2as result.

Definition at line 492 of file mlMatrix2.h.

◆ operator*() [9/30]

template<class DT >

Tmat2<DT> ml::operator*	(	const Tmat2< DT > &	a,
		DT	d
	)

inline

Returns the component wise multiplication of matrix a with scalar d.

Definition at line 467 of file mlMatrix2.h.

◆ operator*() [10/30]

template<class DT >

Tmat3<DT> ml::operator*	(	const Tmat3< DT > &	a,
		const DT	d
	)

inline

Returns the component wise multiplication of matrix a with scalar d.

Definition at line 295 of file mlMatrix3.h.

◆ operator*() [11/30]

template<class DT >

Tmat3<DT> ml::operator*	(	const Tmat3< DT > &	a,
		const Tmat3< DT > &	b
	)

inline

Matrix 3 product.

Definition at line 462 of file mlMatrix3.h.

References _ML_MAT3_RC.

◆ operator*() [12/30]

template<class DT , class DT2 >

Tvec3<DT> ml::operator*	(	const Tmat3< DT > &	a,
		const Tvec3< DT2 > &	v
	)

inline

Normal multiplication of 3x3 matrix a with 3d vector v with a Tvec3 as result.

Definition at line 230 of file mlVector3.h.

◆ operator*() [13/30]

template<class DT >

Tmat4<DT> ml::operator*	(	const Tmat4< DT > &	a,
		const DT	d
	)

inline

Returns the component wise multiplication of matrix a with scalar d.

Definition at line 422 of file mlMatrix4.h.

◆ operator*() [14/30]

template<class DT >

Tmat4<DT> ml::operator*	(	const Tmat4< DT > &	a,
		const Tmat4< DT > &	b
	)

inline

a * b.

Standard matrix multiplication.

Note: Hint on concatentation of matrices: b.transformPoint(a.transformPoint(v)) is equivalent to (b*a).transformPoint(v)

Definition at line 364 of file mlMatrix4.h.

References _ML_MAT4_RC.

◆ operator*() [15/30]

template<class DT , class DT2 >

Tvec3<DT> ml::operator*	(	const Tmat4< DT > &	a,
		const Tvec3< DT2 > &	v
	)

inline

Interprets v as a 4d homogeneous point and multiply the 4x4 matrix M with it and return a Tvec3 after normalizing the result by dividing by the fourth component.

It's up to the caller to guarantee that matrix a multiplied with a homogeneous 4d point results to a homogeneous point to avoid divisions by zero on normalizing the result.

Definition at line 256 of file mlVector3.h.

References ml::Tvec3< DT >::affinePoint().

◆ operator*() [16/30]

template<class DT >

Tvec4<DT> ml::operator*	(	const Tmat4< DT > &	a,
		const Tvec4< DT > &	v
	)

inline

Multiplies 4x4 matrix a with vector v.

Definition at line 135 of file mlVector4.h.

References _ML_VEC4_RC.

◆ operator*() [17/30]

template<class DT >

Tmat5<DT> ml::operator*	(	const Tmat5< DT > &	a,
		const DT	d
	)

inline

Returns the component wise product of matrix a with scalar d.

Definition at line 331 of file mlMatrix5.h.

◆ operator*() [18/30]

template<class DT >

Tmat5<DT> ml::operator*	(	const Tmat5< DT > &	a,
		const Tmat5< DT > &	b
	)

Matrix product.

Definition at line 655 of file mlMatrix5.h.

References _ML_MAT5_RC.

◆ operator*() [19/30]

template<class DT >

Tvec5<DT> ml::operator*	(	const Tmat5< DT > &	a,
		const Tvec5< DT > &	v
	)

inline

Multiplies 5x5 matrix a with vector v.

Definition at line 180 of file mlVector5.h.

References _ML_VEC5_RC.

◆ operator*() [20/30]

template<class DT >

Tmat6<DT> ml::operator*	(	const Tmat6< DT > &	a,
		const DT	d
	)

inline

Returns the component wise product of matrix a with scalar d.

Definition at line 328 of file mlMatrix6.h.

◆ operator*() [21/30]

template<class DT >

Tmat6<DT> ml::operator*	(	const Tmat6< DT > &	a,
		const Tmat6< DT > &	b
	)

Matrix product.

Definition at line 567 of file mlMatrix6.h.

References _ML_MAT6_RC.

◆ operator*() [22/30]

template<class DT >

Tvec6<DT> ml::operator*	(	const Tmat6< DT > &	a,
		const Tvec6< DT > &	v
	)

inline

Multiplies 6x6 matrix a with vector v.

Definition at line 607 of file mlMatrix6.h.

References _ML_MAT6_RC.

◆ operator*() [23/30]

template<class DT >

Tvec2<DT> ml::operator*	(	const Tvec2< DT > &	v,
		const Tmat2< DT > &	a
	)

inline

Normal multiplication of 2D vector v with 2x2 matrix with a Tvec2as result.

Definition at line 500 of file mlMatrix2.h.

References ml::Tmat2< DT >::transpose().

◆ operator*() [24/30]

template<class DT , class DT2 >

Tvec3<DT> ml::operator*	(	const Tvec3< DT > &	v,
		const Tmat3< DT2 > &	a
	)

inline

Normal multiplication of 3d vector v with 3x3 matrix with a Tvec3 as result.

Definition at line 242 of file mlVector3.h.

References ml::Tmat3< DT >::transpose().

◆ operator*() [25/30]

template<class DT , class DT2 >

Tvec3<DT> ml::operator*	(	const Tvec3< DT > &	v,
		const Tmat4< DT2 > &	a
	)

inline

Interprets v as a 4d homogeneous point and multiply it with the 4x4 matrix M and return a Tvec3 after normalizing the result by dividing by the fourth component.

It's up to the caller to guarantee that matrix a multiplied with a homogeneous 4d point results to a homogeneous point to avoid divisions by zero on normalizing the result.

Definition at line 271 of file mlVector3.h.

References ml::Tmat4< DT >::transpose().

◆ operator*() [26/30]

template<class DT >

Tvec4<DT> ml::operator*	(	const Tvec4< DT > &	v,
		const Tmat4< DT > &	a
	)

inline

Multiplies vector v with 4x4 matrix a.

Definition at line 145 of file mlVector4.h.

References ml::Tmat4< DT >::transpose().

◆ operator*() [27/30]

template<class DT >

Tvec5<DT> ml::operator*	(	const Tvec5< DT > &	v,
		const Tmat5< DT > &	a
	)

inline

Multiplies vector v with 5x5 matrix a.

Definition at line 190 of file mlVector5.h.

References ml::Tmat5< DT >::transpose().

◆ operator*() [28/30]

template<class DT >

Tvec6<DT> ml::operator*	(	const Tvec6< DT > &	v,
		const Tmat6< DT > &	a
	)

inline

Multiplies vector v with 6x6 matrix a.

Definition at line 617 of file mlMatrix6.h.

References ml::Tmat6< DT >::transpose().

◆ operator*() [29/30]

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > operator*	(	FloatingPointVector< T, size, DataContainer >	lhs,
		MLdouble	rhs
	)

inline

Component wise multiplication of lhs with rhs.

Definition at line 440 of file mlFloatingPointVector.h.

◆ operator*() [30/30]

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > operator*	(	MLdouble	lhs,
		FloatingPointVector< T, size, DataContainer >	rhs
	)

inline

Component wise multiplication of rhs with lhs.

Definition at line 450 of file mlFloatingPointVector.h.

◆ operator*=() [1/2]

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > & operator*=	(	FloatingPointVector< T, size, DataContainer > &	op1,
		const FloatingPointVector< T, size, DataContainer > &	op2
	)

inline

Arithmetic assignment: Component wise multiplication *this with a vector of the same size.

Definition at line 332 of file mlFloatingPointVector.h.

◆ operator*=() [2/2]

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > & operator*=	(	FloatingPointVector< T, size, DataContainer > &	op1,
		MLdouble	value
	)

inline

Arithmetic assignment: Component wise multiplication *this with specialized MLdouble scalar value.

Definition at line 321 of file mlFloatingPointVector.h.

◆ operator+() [1/7]

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > operator+ ( const FloatingPointVector< T, size, DataContainer > & buffer )

inline

Unary plus, for completeness and for those who really want to use that...

Definition at line 407 of file mlFloatingPointVector.h.

◆ operator+() [2/7]

template<class DT >

Tmat2<DT> ml::operator+	(	const Tmat2< DT > &	a,
		const Tmat2< DT > &	b
	)

inline

Returns the component wise sum of matrix a and matrix b.

Definition at line 453 of file mlMatrix2.h.

◆ operator+() [3/7]

template<class DT >

Tmat3<DT> ml::operator+	(	const Tmat3< DT > &	a,
		const Tmat3< DT > &	b
	)

inline

Returns the component wise sum of matrix a and matrix b.

Definition at line 281 of file mlMatrix3.h.

◆ operator+() [4/7]

template<class DT >

Tmat4<DT> ml::operator+	(	const Tmat4< DT > &	a,
		const Tmat4< DT > &	b
	)

inline

Returns the component wise sum of matrix a and matrix b.

Definition at line 408 of file mlMatrix4.h.

◆ operator+() [5/7]

template<class DT >

Tmat5<DT> ml::operator+	(	const Tmat5< DT > &	a,
		const Tmat5< DT > &	b
	)

inline

Returns the component wise sum of matrix a and matrix b.

Definition at line 317 of file mlMatrix5.h.

◆ operator+() [6/7]

template<class DT >

Tmat6<DT> ml::operator+	(	const Tmat6< DT > &	a,
		const Tmat6< DT > &	b
	)

inline

Returns the component wise sum of matrix a and matrix b.

Definition at line 314 of file mlMatrix6.h.

◆ operator+() [7/7]

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > operator+	(	FloatingPointVector< T, size, DataContainer >	lhs,
		const FloatingPointVector< T, size, DataContainer > &	rhs
	)

inline

Return value is the component wise addition of lhs and rhs.

Definition at line 385 of file mlFloatingPointVector.h.

◆ operator+=()

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > & operator+=	(	FloatingPointVector< T, size, DataContainer > &	op1,
		const FloatingPointVector< T, size, DataContainer > &	buffer
	)

inline

Returns a matrix a with all values negated.

Definition at line 307 of file mlMatrix6.h.

◆ operator-() [11/12]

template<class DT >

Tmat6<DT> ml::operator-	(	const Tmat6< DT > &	a,
		const Tmat6< DT > &	b
	)

inline

Returns the component wise difference of matrix a and matrix b.

Definition at line 321 of file mlMatrix6.h.

◆ operator-() [12/12]

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > operator-	(	FloatingPointVector< T, size, DataContainer >	lhs,
		const FloatingPointVector< T, size, DataContainer > &	rhs
	)

inline

Return value is the component wise subtraction of rhs from lhs.

Definition at line 396 of file mlFloatingPointVector.h.

◆ operator-=()

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > & operator-=	(	FloatingPointVector< T, size, DataContainer > &	op1,
		const FloatingPointVector< T, size, DataContainer > &	buffer
	)

inline

Arithmetic assignment: Component wise subtraction of buffer from *this.

Definition at line 310 of file mlFloatingPointVector.h.

◆ operator/() [1/6]

template<class DT >

Tmat2<DT> ml::operator/	(	const Tmat2< DT > &	a,
		const DT	d
	)

inline

Returns the component wise division of matrix a by scalar d.

Division by zero is not handled and must be avoided by caller.

Definition at line 482 of file mlMatrix2.h.

◆ operator/() [2/6]

template<class DT >

Tmat3<DT> ml::operator/	(	const Tmat3< DT > &	a,
		const DT	d
	)

inline

Returns the component wise division of matrix a by scalar d.

Division by zero is not handled and must be avoided by caller.

Definition at line 310 of file mlMatrix3.h.

◆ operator/() [3/6]

template<class DT >

Tmat4<DT> ml::operator/	(	const Tmat4< DT > &	a,
		const DT	d
	)

inline

Returns the component wise division of matrix a by scalar d.

Division by zero is not handled and must be avoided by caller.

Definition at line 437 of file mlMatrix4.h.

◆ operator/() [4/6]

template<class DT >

Tmat5<DT> ml::operator/	(	const Tmat5< DT > &	a,
		const DT	d
	)

inline

Returns the component wise division of matrix a by scalar d.

Division by zero is not handled and must be avoided by caller.

Definition at line 346 of file mlMatrix5.h.

References ML_CHECK_FLOAT_THROW.

◆ operator/() [5/6]

template<class DT >

Tmat6<DT> ml::operator/	(	const Tmat6< DT > &	a,
		const DT	d
	)

inline

Returns the component wise division of matrix a by scalar d.

Division by zero is not handled and must be avoided by caller.

Definition at line 343 of file mlMatrix6.h.

References ML_CHECK_FLOAT_THROW.

◆ operator/() [6/6]

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > operator/	(	FloatingPointVector< T, size, DataContainer >	lhs,
		MLdouble	rhs
	)

inline

Component wise division of lhs by specialized rhs of type MLdouble.

Definition at line 460 of file mlFloatingPointVector.h.

◆ operator/=() [1/2]

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > & operator/=	(	FloatingPointVector< T, size, DataContainer > &	op1,
		const FloatingPointVector< T, size, DataContainer > &	op2
	)

inline

Arithmetic assignment: Component wise division of *this by the values of a vector of the same size.

Division by zero is not handled and must be avoided by user.

Definition at line 359 of file mlFloatingPointVector.h.

◆ operator/=() [2/2]

template<class T , size_t size, class DataContainer >

FloatingPointVector< T, size, DataContainer > & operator/=	(	FloatingPointVector< T, size, DataContainer > &	op1,
		MLdouble	value
	)

inline

Arithmetic assignment: Component wise division of *this by scalar value.

Division by zero is not handled and must be avoided by user.

Definition at line 344 of file mlFloatingPointVector.h.

◆ operator==() [1/5]

template<class DT >

bool ml::operator==	(	const Tmat2< DT > &	a,
		const Tmat2< DT > &	b
	)

inline

a == b ? Return true if yes.

Definition at line 425 of file mlMatrix2.h.

Referenced by ml::SubImageBoxd::operator!=(), and ml::TQuaternion< DT >::operator!=().

◆ operator==() [2/5]

template<class DT >

bool ml::operator==	(	const Tmat3< DT > &	a,
		const Tmat3< DT > &	b
	)

inline

a == b ? Return true if yes, otherwise false.

Definition at line 475 of file mlMatrix3.h.

◆ operator==() [3/5]

template<class DT >

bool ml::operator==	(	const Tmat4< DT > &	a,
		const Tmat4< DT > &	b
	)

inline

a == b ? Return true if yes.

Definition at line 378 of file mlMatrix4.h.

◆ operator==() [4/5]

template<class DT >

bool ml::operator==	(	const Tmat5< DT > &	a,
		const Tmat5< DT > &	b
	)

inline

a == b ? Return true if yes, otherwise false.

Definition at line 673 of file mlMatrix5.h.

◆ operator==() [5/5]

template<class DT >

bool ml::operator==	(	const Tmat6< DT > &	a,
		const Tmat6< DT > &	b
	)

a == b ? Return true if yes, otherwise false.

Definition at line 582 of file mlMatrix6.h.

◆ operator^()

template<class DT , class DT2 >

Tvec3<DT> ml::operator^	(	const Tvec3< DT > &	a,
		const Tvec3< DT2 > &	b
	)

inline

Returns a vector orthogonal to a and b.

Definition at line 282 of file mlVector3.h.

◆ Overload()

template<class... Ts>

ml::Overload ( Ts... ) -> Overload< Ts... >

◆ perspective3D()

template<class DT >

Tmat4<DT> ml::perspective3D ( const DT d )

inline

Creates a 4x4 homogeneous perspective projection matrix with perspective shortening value given by d which must differ from zero to avoid errors.

Definition at line 674 of file mlMatrix4.h.

References ML_CHECK_FLOAT_THROW.

◆ pre_exit()

void ML_UTILS_EXPORT ml::pre_exit ( )

◆ printTemplateError()

void ML_UTILS_EXPORT ml::printTemplateError	(	const char *	location,
		MLErrorCode	reason,
		const std::string_view &	handling
	)

Referenced by ml::TQuaternion< DT >::arg(), ml::TQuaternion< DT >::div(), ml::TQuaternion< DT >::getAsMat4(), ml::Tmat2< DT >::inverse(), ml::TQuaternion< DT >::inverse(), ml::FloatingPointMatrix< VectorT, size >::linearIndexed(), ml::FloatingPointMatrix< VectorT, size >::linearIndexedConst(), MLInverseMatHelper(), ml::TQuaternion< DT >::normalize(), ml::FloatingPointMatrix< VectorT, size >::operator[](), ml::TQuaternion< DT >::sqrt(), and ml::Tvec3< DT >::Tvec3().

◆ printTemplateFatalError()

void ML_UTILS_EXPORT ml::printTemplateFatalError	(	const char *	location,
		MLErrorCode	reason,
		const std::string_view &	handling
	)

◆ printTemplateWarning()

void ML_UTILS_EXPORT ml::printTemplateWarning	(	const char *	location,
		MLErrorCode	reason,
		const std::string_view &	handling
	)

◆ rotation2D()

template<class DT >

Tmat3<DT> ml::rotation2D	(	const Tvec2< DT > &	Center,
		const DT	angleDeg
	)

Returns a 2D rotation matrix as 3D homogeneous matrix where center specifies the center of rotation.

Definition at line 524 of file mlMatrix3.h.

◆ rotation3D()

template<class DT >

Tmat4<DT> ml::rotation3D	(	Tvec3< DT >	Axis,
		const DT	angleRad
	)

Returns a 4x4 homogeneous 3D rotation matrix describing a rotation with angle angleRad around axis Axis where center specifies the center of rotation.

Definition at line 634 of file mlMatrix4.h.

References ml::FloatingPointVector< T, size, DataContainer >::normalize().

◆ round()

Definition at line 1528 of file mlTSubImage.h.

References ml::SubImage::getData(), ml::SubImage::getDataType(), ML_BAD_DATA_TYPE, and ML_PRINT_FATAL_ERROR.

◆ tsubimage_cast() [2/4]

template<typename T >

const TSubImage<T>* ml::tsubimage_cast ( const SubImage * subImg )

Definition at line 1552 of file mlTSubImage.h.

References ml::SubImage::getData(), ml::SubImage::getDataType(), ML_BAD_DATA_TYPE, and ML_PRINT_FATAL_ERROR.

◆ tsubimage_cast() [3/4]

template<typename T >

TSubImage<T>& ml::tsubimage_cast ( SubImage & subImg )

Definition at line 1516 of file mlTSubImage.h.

References ml::SubImage::getData(), ml::SubImage::getDataType(), ML_BAD_DATA_TYPE, and ML_PRINT_FATAL_ERROR.

◆ tsubimage_cast() [4/4]

template<typename T >

TSubImage<T>* ml::tsubimage_cast ( SubImage * subImg )

Definition at line 1540 of file mlTSubImage.h.

References ml::SubImage::getData(), ml::SubImage::getDataType(), ML_BAD_DATA_TYPE, and ML_PRINT_FATAL_ERROR.

◆ tsubimg_cast() [1/4]

template<typename T >

const TSubImage<T>& ml::tsubimg_cast ( const SubImage & subImg )

Deprecated:: Use tsubimage_cast instead.

Definition at line 1585 of file mlTSubImage.h.

◆ tsubimg_cast() [2/4]

template<typename T >

const TSubImage<T>* ml::tsubimg_cast ( const SubImage * subImg )

Deprecated:: Use tsubimage_cast instead.

Definition at line 1575 of file mlTSubImage.h.

◆ tsubimg_cast() [3/4]

template<typename T >

TSubImage<T>& ml::tsubimg_cast ( SubImage & subImg )

Deprecated:: Use tsubimage_cast instead.

Definition at line 1580 of file mlTSubImage.h.

◆ tsubimg_cast() [4/4]

template<typename T >

TSubImage<T>* ml::tsubimg_cast ( SubImage * subImg )

Deprecated:: Use tsubimage_cast instead.

Definition at line 1570 of file mlTSubImage.h.

◆ vector_contains()

template<typename T >

bool ml::vector_contains	(	const std::vector< T > &	vec,
		const T &	value
	)

inline

Helper template that searches for value in given vector vec and returns true if it was found.

Definition at line 27 of file mlStdAlgorithms.h.

◆ vector_remove()

template<typename T >

bool ml::vector_remove	(	std::vector< T > &	vec,
		const T &	value
	)

inline

Helper template that removes the first occurrence of value in given vector vec and returns true if it was found.

Definition at line 33 of file mlStdAlgorithms.h.

◆ vector_remove_all()

template<typename T >

void ml::vector_remove_all	(	std::vector< T > &	vec,
		const T &	value
	)

inline

Helper template that removes all occurrences of value in given vector vec.

Definition at line 45 of file mlStdAlgorithms.h.

◆ vector_replace_by_NULL()

template<typename T >

bool ml::vector_replace_by_NULL	(	std::vector< T > &	vec,
		const T &	value
	)

inline

Helper template that replaces the first occurrence of value in given vector vec with NULL and returns true if it was found.

Definition at line 58 of file mlStdAlgorithms.h.

Variable Documentation

◆ _ML_STD_SLEN

const MLint ml::_ML_STD_SLEN =64

Length of strings for component descriptions and class names.

Definition at line 33 of file mlStdTypeInfos.h.

◆ is_detected_v

template<template< class... > class Op, class... Args>

constexpr bool ml::is_detected_v = is_detected<Op, Args...>::value

constexpr

Definition at line 77 of file mlTemplateHelpers.h.

◆ MLErrorOutput

ML_UTILS_EXPORT ErrorOutput ml::MLErrorOutput

extern

This is a singleton used for all ML Error input and output;.

◆ MLGenericType

const int ml::MLGenericType = _ML_SWITCH_SELECT_OFFSET+10

Defines special index to use a generic type.

Definition at line 61 of file mlTypedHandlers.h.

◆ MLGlobalTraceBuffer

ML_UTILS_EXPORT TraceBuffer<MLGlobalTraceBufferType> ml::MLGlobalTraceBuffer

extern

This is a global singleton of the TraceBuffer class.

It is used by all ML_TRACE_IN macros in the ML and by ErrorOutput class for dumping in error cases.

◆ MLNotify

ML_UTILS_EXPORT Notify ml::MLNotify

extern

Singleton which contains all registered callback functions of the ML.

◆ MLVariableType0

const int ml::MLVariableType0 = _ML_SWITCH_SELECT_OFFSET

Defines to use the result type of variable type 0.

Definition at line 53 of file mlTypedHandlers.h.

◆ MLVariableType1

const int ml::MLVariableType1 = _ML_SWITCH_SELECT_OFFSET+1

Defines to use the result type of variable type 1.

Definition at line 55 of file mlTypedHandlers.h.

◆ MLVariableType2

const int ml::MLVariableType2 = _ML_SWITCH_SELECT_OFFSET+2

Defines to use the result type of variable type 2.

Definition at line 57 of file mlTypedHandlers.h.

◆ MLVariableType3

const int ml::MLVariableType3 = _ML_SWITCH_SELECT_OFFSET+3

Defines to use the result type of variable type 3.

Definition at line 59 of file mlTypedHandlers.h.

Namespaces

Classes

Typedefs

Enumerations

Functions

Variables

Detailed Description

Typedef Documentation

◆ BaseEventCallback

◆ CalculateOutputImagePropertiesCB

◆ default_executor

◆ detected_t

◆ high_executor

◆ ImagePropertyExtensionVector

◆ ImageVector

◆ is_detected

◆ Lock

◆ low_executor

◆ Mat2Field

◆ Mat3Field

◆ Mat4Field

◆ Mat5Field

◆ Matrix2

◆ Matrix2d

◆ Matrix2f

◆ Matrix2ld

◆ Matrix3

◆ Matrix3d

◆ Matrix3f

◆ Matrix3ld

◆ Matrix4

◆ Matrix4d

◆ Matrix4f

◆ Matrix4ld

◆ Matrix5

◆ Matrix5d

◆ Matrix5f

◆ Matrix5ld

◆ Matrix6

◆ Matrix6d

◆ Matrix6f

◆ Matrix6ld

◆ MLGlobalTraceBufferType

◆ Quaternion

◆ Quaterniond

◆ Quaternionf

◆ Quaternionld

◆ RecursiveLock

◆ ScaleShiftData

◆ SubImageBox

◆ Thread

◆ TileRequestFinishedCB

◆ TriggerField

◆ Vec10fField

◆ Vector10

◆ Vector10d

◆ Vector10f

◆ Vector10ld

◆ Vector16

◆ Vector16d

◆ Vector16f

◆ Vector16ld

◆ Vector2

◆ Vector2d

◆ Vector2f

◆ Vector2ld

◆ Vector3

◆ Vector32

◆ Vector32d

◆ Vector32f

◆ Vector32ld

◆ Vector3d

◆ Vector3f

◆ Vector3ld

◆ Vector4

◆ Vector4d

◆ Vector4f

◆ Vector4ld

◆ Vector5

◆ Vector5d