core¶

Functions

`BigEndianTest`()
`checkAVX`()
`checkAVX2`()
`checkNeon`()
`checkSSE2`()
`checkSSE3`()
`checkSSE41`()
`checkSSE42`()
`checkSSSE3`()
`clippingFlagsToJSON`(flags)
`eigen2visp`(args, *kwargs)	Overloaded function.
`getCPUCacheL1`()
`getCPUCacheL2`()
`getCPUCacheL3`()
`getDateTime`(format)
`getMinTimeForUsleepCall`()
`map_type`(t)
`measureTimeMicros`()
`measureTimeMs`()
`measureTimeSecond`()
`npy_load`(fname)
`npz_load`(args, *kwargs)	Overloaded function.
`printCPUInfo`()
`sleepMs`(t)
`visp2eigen`(args, *kwargs)	Overloaded function.
`wait`(args, *kwargs)	Overloaded function.

Classes

`ArrayDouble2D`	Implementation of a generic 2D array used as base class for matrices and vectors.
`BSpline`	Class that provides tools to compute and manipulate a B-Spline curve.
`CameraParameters`	Generic class defining intrinsic camera parameters.
`CannyEdgeDetection`	Class that implements the Canny's edge detector.
`Chrono`
`Circle`	Class that defines a 3D circle in the object frame and allows forward projection of a 3D circle in the camera frame and in the 2D image plane by perspective projection.
`Client`	This class represents a Transmission Control Protocol (TCP) client.
`ColVector`	Implementation of column vector and the associated operations.
`Color`	Class to define RGB colors available for display functionalities.
`ColorDepthConversion`
`Colormap`	Creates a colormap class to be able to recolor an image with different grayscale values into some corresponding color values, for better visualization for example.
`Convert`	Bridges over other frameworks like OpenCV.
`Cylinder`	Class that defines a 3D cylinder in the object frame and allows forward projection of a 3D cylinder in the camera frame and in the 2D image plane by perspective projection.
`Display`	Class that defines generic functionalities for display.
`ExponentialMap`	Direct or inverse exponential map computation.
`FeatureDisplay`	Interface with the image for feature display.
`Font`	Font drawing functions for image.
`ForceTwistMatrix`	This class derived from vpArray2D<double> implements the 6 by 6 matrix which transforms force/torque from one frame to another.
`ForwardProjection`	Class that defines what is a generic geometric feature.
`FrameGrabber`	Base class for all video devices.
`GaussRand`	Class for generating random number with normal probability density.
`GaussianFilter`	Gaussian filter class.
`Histogram`	Class to compute a gray level image histogram.
`HistogramPeak`	Declaration of the peak (maximum value) in a gray level image histogram.
`HistogramValey`	Declaration of the valey (minimum value) in a gray level image histogram.
`HomogeneousMatrix`	Implementation of an homogeneous matrix and operations on such kind of matrices.
`ImageCircle`	Class that defines a 2D circle in an image.
`ImageConvert`	Convert image types.
`ImageDouble`	Definition of the vpImage class member functions.
`ImageDraw`	Drawing functions for image.
`ImageFilter`	Various image filter, convolution, etc...
`ImageFloat`	Definition of the vpImage class member functions.
`ImageGray`	Definition of the vpImage class member functions.
`ImageMorphology`	Various mathematical morphology tools, erosion, dilatation...
`ImagePoint`	Class that defines a 2D point in an image.
`ImageRGBa`	Definition of the vpImage class member functions.
`ImageRGBf`	Definition of the vpImage class member functions.
`ImageTools`	Various image tools; sub-image extraction, modification of the look up table, binarisation...
`ImageUInt16`	Definition of the vpImage class member functions.
`IoTools`	File and directories basic tools.
`KalmanFilter`	This class provides a generic Kalman filtering algorithm along with some specific state model (constant velocity, constant acceleration) which are implemented in the vpLinearKalmanFilterInstantiation class.
`LinProg`	This class provides two solvers for Linear Programs.
`Line`	Class that defines a 3D line in the object frame and allows forward projection of the line in the camera frame and in the 2D image plane by perspective projection.
`LinearKalmanFilterInstantiation`	This class provides an implementation of some specific linear Kalman filters.
`Math`	Provides simple mathematics computation tools that are not available in the C mathematics library (math.h)
`Matrix`	Implementation of a matrix and operations on matrices.
`MeterPixelConversion`	Various conversion functions to transform primitives (2D ellipse, 2D line, 2D point) from normalized coordinates in meter in the image plane into pixel coordinates.
`Moment`	This class defines shared methods/attributes for 2D moments.
`MomentAlpha`	This class defines the orientation of the object inside the plane parallel to the object.
`MomentArea`	Class handling the surface moment.
`MomentAreaNormalized`	Class handling the normalized surface moment that is invariant in scale and used to estimate depth.
`MomentBasic`	This class defines the 2D basic moment \(m_{ij}\) .
`MomentCInvariant`	This class defines several 2D (translation+rotation+scale) invariants for both symmetric and non-symmetric objects.
`MomentCentered`	This class defines the double-indexed centered moment descriptor \(\mu_{ij}\) .
`MomentCommon`	This class initializes and allows access to commonly used moments.
`MomentDatabase`	This class allows to register all vpMoments so they can access each other according to their dependencies.
`MomentGravityCenter`	Class describing 2D gravity center moment.
`MomentGravityCenterNormalized`	Class describing 2D normalized gravity center moment.
`MomentObject`	Class for generic objects.
`MouseButton`	Class that defines mouse button identifiers.
`Munkres`	Implements the Munkres Assignment Algorithm described here .
`Network`	This class represents a Transmission Control Protocol (TCP) network.
`ParticleFilterMatrix`	The class permits to use a Particle Filter.
`ParticleFilterVector`	The class permits to use a Particle Filter.
`PixelMeterConversion`	Various conversion functions to transform primitives (2D line, moments, 2D point) from pixel to normalized coordinates in meter in the image plane.
`Plane`	This class defines the container for a plane geometrical structure.
`Point`	Class that defines a 3D point in the object frame and allows forward projection of a 3D point in the camera frame and in the 2D image plane by perspective projection.
`Polygon`	Defines a generic 2D polygon.
`Polygon3D`	Implements a 3D polygon with render functionalities like clipping.
`PoseVector`	Implementation of a pose vector and operations on poses.
`QuadProg`	This class provides a solver for Quadratic Programs.
`QuaternionVector`	Implementation of a rotation vector as quaternion angle minimal representation.
`RGBa`	Class that defines a RGBa 32 bits structure that is used to build color images.
`RGBf`	Class that defines a RGB 32-bit floating point structure that is used to build color images.
`Rect`	Defines a rectangle in the plane.
`RectOriented`	Defines an oriented rectangle in the plane.
`Request`	This the request that will transit on the network.
`Robust`	Contains an M-estimator and various influence function.
`RotationMatrix`	Implementation of a rotation matrix and operations on such kind of matrices.
`RotationVector`	Implementation of a generic rotation vector.
`RowVector`	Implementation of row vector and the associated operations.
`RxyzVector`	Implementation of a rotation vector as \(R(x,y,z)\) Euler angle minimal representation.
`RzyxVector`	Implementation of a rotation vector as \(R(z,y,x)\) Euler angle minimal representation.
`RzyzVector`	Implementation of a rotation vector as \(R(z,y,z)\) Euler angle minimal representation.
`Scale`	Contains various estimators for scale.
`Serial`	This class allows a serial port communication between 2 devices.
`Server`	This class represents a Transmission Control Protocol (TCP) server.
`Sphere`	Class that defines a 3D sphere in the object frame and allows forward projection of a 3D sphere in the camera frame and in the 2D image plane by perspective projection.
`StatisticalTestAbstract`	Base class for methods detecting the drift of the mean of a process.
`StatisticalTestEWMA`	Class that permits to perform Exponentially Weighted Moving Average mean drft tests.
`StatisticalTestHinkley`	This class implements the Hinkley's cumulative sum test.
`StatisticalTestMeanAdjustedCUSUM`	Class that permits to perform a mean adjusted Cumulative Sum test.
`StatisticalTestShewhart`	Class that permits a Shewhart's test.
`StatisticalTestSigma`	Class that permits a simple test comparing the current value to the standard deviation of the signal.
`SubColVector`	This class provides a mask on a vpColVector .
`SubMatrix`	Definition of the vpSubMatrix class that provides a mask on a vpMatrix .
`SubRowVector`	This class provides a mask on a vpRowVector .
`ThetaUVector`	Implementation of a rotation vector as \(\theta {\bf u}\) axis-angle minimal representation.
`Tracker`	Class that defines what is a feature generic tracker.
`TranslationVector`	Class that consider the case of a translation vector.
`Triangle`	Defines a 2D triangle.
`UDPClient`	This class implements a basic (IPv4) User Datagram Protocol (UDP) client.
`UDPServer`	This class implements a basic (IPv4) User Datagram Protocol (UDP) server.
`UKSigmaDrawerAbstract`	This abstract class defines the interface to draw the sigma points for the Unscented Kalman filter.
`UKSigmaDrawerMerwe`	This class defines a class to draw sigma points following the E.
`UniRand`	Class for generating random numbers with uniform probability density.
`UnscentedKalman`	This class permits to use Unscented Kalman Filter (UKF) to tackle non-linear problems.
`VelocityTwistMatrix`	This class derived from vpArray2D<double> implements the 6 by 6 matrix which transforms velocities from one frame to another.
`XmlParser`	This class intends to simplify the creation of xml parser based on the libxml2 third party library.
`XmlParserCamera`	XML parser to load and save intrinsic camera parameters.
`XmlParserHomogeneousMatrix`	XML parser to load and save an homogeneous matrix in a file.
`XmlParserRectOriented`	XML parser to load and save an oriented rectangle in a file.