Objects			page : 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35
cv.jit.erode	External		This operation does somewhat the opposite of "dilate". This operation does somewhat the opposite of "dilate". In binary mode, a pixel will stay ON only if all of its neighbours are also on. This can be a good way to get rid of noise but will also make your shapes thinner and holes wider. In greyscale mode, a pixel will get the minimum value of its neighbours. "Greyscale" and "mode" attributes function as for cv.jit.dilate.
cv.jit.floodfill	External		The floodfill algorithm takes a pixel coordinate specified by the "seed" attributes and checks the value of that pixel. The floodfill algorithm takes a pixel coordinate specified by the "seed" attributes and checks the value of that pixel. If it is OFF, it does nothing and returns a blank matrix. If the pixel is ON, however, it will "flood-fill" the blob this pixel belongs to with ON values and return only that blob. This works exactly like the flood-fill tools in popular paint or image editing software.
cv.jit.label	External		This algorithm scans through the image and gives each connected component an individual value. This algorithm scans through the image and gives each connected component an individual value. If you set the "mode" attribute to its default value of 0, it will paint the top-leftmost blob with ones, and will number blobs incrementally moving right and down. In mode 1, however, it will paint the blobs with the number of pixels in that blob. This can allow you, for instance, to filter only blobs that have sizes between such and such a value. Furthermore, in either mode, you can use the "threshold" attribute to erase all the blobs that are smaller than the threshold value. This is an extremely powerful (and surprisingly cheap) way of filtering noise out. In order to accommodate potentially large numbers of blobs, or large blob sizes, the output is a 1-plane long matrix. There is a hard-coded limit of 2048 possible blobs.
cv.jit.mean	External		Computes the mean value of each pixel over time. Computes the mean value of each pixel over time. Works a lot like the regular Max object "mean". In order to clear the matrix, you must send the "reset" message rather than "clear", as "clear" will not reset the internal frame counter to zero. Accepts any data type or planecount. Note, however, that due to rounding errors, char and long calculations are going to deviate downwards from the actual mean. If accuracy is an issue, or you plan to feed cv.jit.mean a large number of frames, convert to floating point beforehand.
cv.jit.moments	External		Apart from returning centroids and mass, it outputs two lists of shape descriptors. This is the most complicated and versatile object of this distribution. Apart from returning centroids and mass, it outputs two lists of shape descriptors. Moment-based shape analysis is based on the physics concept of moment of inertia. Since, in theory, these moments are unique to each shape, they have been used for a long time to perform tasks like optical character recognition. From the left-most outlet a list of seven moments comes out. These are cryptically labeled "m20, m02, m22, m21, m12, m30, and m03". The m here simply stands for moment, the two numbers following tell us how the particular value was calculated.
cv.jit.stddev	External		Computes the standard deviation of the incoming matrices. Computes the standard deviation of the incoming matrices. The standard deviation is simply the square root of the variance, so the same result can be obtained with cv.jit.variance and a jit.op object. The standard deviation is a measure of how much sample values vary from the mean, or in other words, how wide the distribution on either side of the mean is. About 65% of sample values fall within one standard deviation of the mean, whereas 95% are within twice that value. This measurement is very useful when it comes to setting bounds or threshold values, for instance in a background subtraction operation. If the mean value of a background pixel is 50, and the standard deviation is 10, then a pixel valued at 80 would be considered foreground. However, if the standard deviation is around 30, there is a good chance that it belongs to the background.
cv.jit.sum	External		Adds the value of all the cells in each plane and outputs the result in a list. Accepts any data type or planecount.
cv.jit.trackpoints	External		This external only accepts the 3-plane float matrices output from cv.jit.track. When using large number of points with cv.jit.track, displaying the position of these points can be problematic. This external only accepts the 3-plane float matrices output from cv.jit.track. You must manually specify the size of the output matrix with the "size" attribute, followed by the width and height. Normally, this will be the same as the size of the matrices being sent to cv.jit.track. The cells of the output matrix corresponding to the position of the points in the input matrix will be set with each pointÕs index values. In order to avoid labeling points starting at 0, all indices are offset by one. I.e. 1 to 255, rather than 0 to 254.
cv.jit.variance	External		Calculates the variance of the input matrices. The variance is defined as the average of the square of the sample values minus the mean.
dataType	External		dataType returns a numeric code corresponding to the value it receives.
db*~	External		multply signal by dB values with slide interpolation
db1	Abstraction		converts an integer slider to a "handy decibel scale". This utility converts an integer slider to a "handy decibel scale". A value of 127 outputs a value of 0 dB, while 157 outputs +18 dB. An input of 0 gives a result of -¥ dB, (represented by the number -9999).
dbtoa	External		Convert a dB value to linear amplitude.
dbtocar~	External		Computes the real and imaginary values based on a db amplitude and phase value. Useful for dynamic processing in the frequency domain, such as spectral gating.
DDT Calc	Standalone Application		DDT Calc is a delay time calculator used for figuring out what a delay time should be for a particular note value, tempo and meter.
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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.