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jit.hatch External Crosshatch filter
The jit.hatch object divides an incoming matrix into a grid. Along the central axes of each square, the color value of the original top-left pixel is visible. Turn your Jitter matrix into graph paper!
jit.histogram External Calculate histogram
The jit.histogram object calculates the histogram for a series of input matrices. The histogram is the distribution of values for each of the matrix's planes.
jit.hue External Rotate hue
The jit.hue object performs a hue rotation, preserving the luminance values.
jit.iter External Iterate a matrix as a series of Max lists/values
The jit.iter object iterates through all the cells of a matrix, sending a max message or list for each cell out the object's left outlet. The jit.iter object also sends a list of ints out its middle outlet that contains the current cell coordinates.
jit.la.determinant External Calculate the determinant of a matrix
The jit.la.determinant object calculates the determinant of a given input matrix, and send the result out the leftmost outlet. The input matrix must have type float32 or float64, and may have planecount 1 or 2. If the input matrix has a planecount of 2, it is assumed that the data is from the set of complex numbers, and the output determinant is a list of 2 floating point values. The first element is the real component and the second element is the imaginary component.
jit.la.diagproduct External Calculate the product across the main diagonal
The jit.la.diagproduct object calculates the product across the main diagonal of a given input matrix, and send the result out the leftmost outlet. The input matrix must have type float32 or float64, and may have planecount 1 or 2. If the input matrix has a planecount of 2, it is assumed that the data is from the set of complex numbers, and the output product is a list of 2 floating point values. The first element is the real component and the second element is the imaginary component.
jit.la.trace External Calculate the sum across the main diagonal
The jit.la.trace object calculates the sum across the main diagonal of a given input matrix, and send the result out the leftmost outlet. The input matrix must have type float32 or float64, and may have planecount 1 or 2. If the input matrix has a planecount of 2, it is assumed that the data is from the set of complex numbers, and the output sum is a list of 2 floating point values. The first element is the real component and the second element is the imaginary component.
jit.lumakey External Key based on distance from a luminance value
The jit.lumakey object measures the chromatic distance of each of the left input's cells(pixels) with a reference luminance calulated by the formula lum = (ascale * alpha_value) + (rscale * r_value) + (gscale * g_value) + (bscale * b_value).
jit.noise External Generate white noise
The jit.noise object generates matrices of random values.
jit.normalize External normalize matrix data
Normalizes a matrix and scales the input values to a uniform domain.
jit.openni External Max Jitter external for OpenNI middleware, supports Kinect and any other OpenNI compliant device
Rich support of OpenNI features using devices like Kinect. Currently supports:

* Configuration of OpenNI by an OpenNI XML configuration file; see OpenNI documentation for format
* ImageMap image output of RGB24 output in a 4-plane char jitter matrix
* DepthMap depth output in a 1-plan long, float32, or float64 jitter matrix
* IrMap Infrared IR output in a 1-plan long, float32, or float64 jitter matrix
* UserPixelMap user tagging/identification output in a 1-plan long, float32, or float64 jitter matrix
* Skeleton joints in an OSC, native max route, or legacy OSCeleton format
* Skeleton events in an OSC, native max route, or legacy OSCeleton format (e.g. user seen, user lost, calibration success, etc.)
* User centers of mass
* Values for user centers of mass and joints in OpenNI native, projective coordinate, or OSCeleton legacy “normalized” values
* Attributes to filtering data based on position or orientation confidence, display or not the orientation data, and smooth skeleton data using OpenNI’s smoothing API
* Compiled as a Win32 max/jitter external
jit.p.shiva External Generate/eliminate particles
The jit.p.shiva object generates Jitter matrices conforming to the Jitter particle system specification. Particle system matrices must be 2-dimensional (n x 2, where n is the maximum number of particles), and may be composed of either float32 or float64 data types. Planes 0 and 1 are reserved and represent a unique particle ID and the current life of the particle, respectively. All other planes (from plane 2 to plane 31) may be used to manage qualities for each particle. The second row always holds the immediately previous value of row 1.
jit.peek~ External Read matrix data as an audio signal
The jit.peek~ object reads the value of one plane of a matrix cell at the position specified by the signal inputs. This value is output as a signal. The object arguments are [matrix_name] [dim_inputcount] [plane].
jit.plume External Displace points based on luminance
The jit.plume object takes two input matrices. The object analyses each incoming cell of the second matrix and, based on the average value of its planes, displaces the corresponding cell in the first matrix.
jit.poke~ External Write an audio signal into a matrix
The jit.poke~ object writes the value specified by the leftmost signal input into one plane of a matrix cell at the position specified by the signalinputs (following the leftmost input). The object arguments are [matrix_name] [dim_inputcount] [plane].
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Libraries
BulkStore
debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='62'Tom Mays bulk storage memory device for all values (any message)
FuzzyLib
debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='139'Alain Bonardi
Isis Truck
When manipulating human knowledge such as perception, feelings, appreciation, veracity of facts, etc., the classical logic that recognize only two truth degrees (true or false) is not always the most suitable.

To solve this problem, more than two degrees are considered in the non-classical logics. The fuzzy logic is one of these logics.

In this logic, facts are represented through membership functions: when the membership value is equal to 1 the fact is exactly true; when it is equal to 0 the fact is exactly false; in between there is an uncertainty about the veracity of the fact.

These membership functions are called "fuzzy subsets". They can be of different shapes: gaussian, trapezoidal, triangular, etc.

Thus the aim of the fuzzy logic is to propose a theoretical framework for the manipulation - representation and reasoning - of such facts.

The Fuzzy Lib library implements all the tools that are necessary to handle this manipulation: representation of a fuzzy subset (among them are the fuzzification, defuzzification and partitioning), reasoning process (generalized modus ponens, fuzzy implications, t-norms, t-conorms, etc.).

This version 1 of the Fuzzy Lib enables to implement fuzzification, uncertain reasoning and defuzzification for any number of data in the framework of Max/MSP environment.
Litter Power Pro Package
debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='54'Peter Castine The Litter Power package consists of over 60 external objects, including a number of new MSP noise sources, externals that produce values from a wide variety of random number distributions, and externals for mutation and cross-synthesis.
p.jit.gl.tools
debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='123' Pelado the p.jit.gl tools are designed to provide for easier learning of and experimenting with the many attributes that are available to jitter's gl objects by making them a whole lot more transparent and accessible. patches expose jitter gl object's attributes to interfaces that allow you to immediately edit and change an attribute's value. many of the parameters are attached to blines, which provide smooth changes while rendering, and all settings can be saved and recalled as presets using the pattrs that are embedded in the patches.
Panaiotis Objects
debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='122' Panaiotis The Mac version is UB.

These Max objects have been enhanced since the documentation to the left was written. Help files for the objects provide information on enhancements.

The matrix object has been substantially upgraded. It now combines features of unpack, spray, funnel, append, and prepend into one object. This makes a great object to place between controllers and jit objects because it acts like a multi-prepend. There are new configuration commands and enhancements to the old: even, odd, mod,and range, among others). Most commands can be applied to inlets of outlets. There is also a mute function that adds another layer of control. Matrixctrl support has been enhanced. See the help file for full details and examples.

Most other objects now fully support floats. RCer and autocount will count in float values, not just integers.

Notegen16 is a 16 channel version of its predecessor: notegen. It is more generalized and much more efficient.
SFA Max/MSP Library
debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='172'Stefano Fasciani The SFA-MaxLib is a collection of Max/MSP objects developed in the context of the VCI4DMI. It includes functions and utilities in the form of FTM externals, FTM abstractions and Max abstractions. FTM is a shared library for Max/MSP developed by IRCAM, which provides a small and simple real-time object system and a set of optimized services to be used within Max/MSP externals.

List of FTM Externals: sfa.eig - eigenvalues; sfa.inputcombinations - combination generator; sfa.levinson - levinson-durbin recursion; sfa.lpc2cep - lpc to cepstra conversion; sfa.rastafilt - rasta filter; sfa.rmd - relative mean difference; sfa.roots - polynomial roots;

List of Abstractions: sfa.bark.maxpat - energy of the Bark bands from time domain frame;sfa.bark2hz_vect.maxpat - Herts to Bark conversion;sfa.barkspect.maxpat - energy of the Bark bands from spectrum; sfa.ceil.maxpat - ceil function; sfa.featfluxgate.maxpat - gated distance on stream of feature vectors; sfa.fft2barkmx.maxpat - utility sub-abstraction of sfa.bark; sfa.fft2barkmxN.maxpat - utility sub-abstraction of sfa.barkspect; sfa.hynek_eq_coeff.maxpat - hynek equalization coefficients; sfa.hz2bark.maxpat - Hertz to Bark conversion; sfa.hz2bark_vect.maxpat - Hertz to Bark conversion for vectors; sfa.hz2mel.maxpat - Hertz to Mel conversion; sfa.idft_real_coeff.maxpat - utility sub-abstraction of sfa.rasta-plp; sfa.maxminmem.maxpat - minimum and maximum of a stream of data; sfa.mfcc.maxpat - MFCC coefficients; sfa.modalphafilter.maxpat - 1st order IIR lowpass on a stream of vectors; sfa.nonlinfeqscale.maxpat - linear spectrum to Bark or Mel scale conversion; sfa.rasta-plp.maxpat - PLP and RASTA-PLP coefficients; sfa.spectmoments.maxpat - 4 spectral moments (centroid, deviation, skewness, kurtosis); sfa.3spectmoments+flatness.maxpat - 3 spectral moments (centroid, deviation, skewness) and the spectral flatness; sfa.spectralflux.maxpat - spectral flux on stream of spectrum vectors; sfa.spectralfluxgate.maxpat - gated spectral flux on stream of spectrum vectors; sfa.std.maxpat - standard deviation; sfa.win_to_fft_size.maxpat - smaller FFT size given frame size; sfa.GCemulator.maxpat – 3D gestural controller emulator;
suivi
debug: SELECT prenom, nom FROM auteurs RIGHT JOIN auteur_libraries USING (id_auteur) WHERE auteur_libraries.id_library='88' Ircam Two externals performing score following on soloist performances using Hidden Markov Models (HMM)
Suivi is based on FTM and requires the shared library FTMlib for Max/MSP. Both externals use an FTM track object - a sequence of time-tagged FTM values - to store the score of the soloist performance to be followed. Notes, trills and other elements of the score are represented by FTM score objects (FTM scoob class). For the moment, scores can be imported from standard MIDI files only.
An editor for the FTM track class, which will also provide a graphical control interface for the score follower is under development as well as the import of MusicXML files.
The suivi object set is distributed within the IRCAM Forum.

4855 objects and 135 libraries within the database Last entries : December 23rd, 2023 Last comments : 0 0 visitor and 35857866 members connected RSS
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