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github | wasidennis/ObjectFlow-master | doxysearch.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/m2html/private/doxysearch.m | 7,724 | utf_8 | 8331cde8495f34b86aef8c18656b37f2 | function result = doxysearch(query,filename)
%DOXYSEARCH Search a query in a 'search.idx' file
% RESULT = DOXYSEARCH(QUERY,FILENAME) looks for request QUERY
% in FILENAME (Doxygen search.idx format) and returns a list of
% files responding to the request in RESULT.
%
% See also DOXYREAD, DOXYWRITE
% Copyright (C)... |
github | wasidennis/ObjectFlow-master | doxywrite.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/m2html/private/doxywrite.m | 3,584 | utf_8 | 3255d8f824957ebc173dde374d0f78af | function doxywrite(filename, kw, statinfo, docinfo)
%DOXYWRITE Write a 'search.idx' file compatible with DOXYGEN
% DOXYWRITE(FILENAME, KW, STATINFO, DOCINFO) writes file FILENAME
% (Doxygen search.idx. format) using the cell array KW containing the
% word list, the sparse matrix (nbword x nbfile) with non-null value... |
github | wasidennis/ObjectFlow-master | doxyread.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/m2html/private/doxyread.m | 3,093 | utf_8 | 3152e7d26bf7ac64118be56f72832a20 | function [statlist, docinfo] = doxyread(filename)
%DOXYREAD Read a 'search.idx' file generated by DOXYGEN
% STATLIST = DOXYREAD(FILENAME) reads FILENAME (Doxygen search.idx
% format) and returns the list of keywords STATLIST as a cell array.
% [STATLIST, DOCINFO] = DOXYREAD(FILENAME) also returns a cell array
% con... |
github | wasidennis/ObjectFlow-master | imwrite2split.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/imwrite2split.m | 1,664 | utf_8 | 8fa6eef9378b3b9aa633d6c096cd78f7 | % Writes/reads a large set of images into/from multiple directories.
%
% This is useful since certain OS handle very large directories (of say
% >20K images) rather poorly (I'm talking to you Bill). Thus, can take
% 100K images, and write into 5 separate directories, then read them back
% in.
%
% USAGE
% I = ... |
github | wasidennis/ObjectFlow-master | playmovies.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/playmovies.m | 1,997 | utf_8 | 6d94553879ed29dca7238d26459ec685 | % [4D] shows R videos simultaneously as a movie.
%
% Plays a movie.
%
% USAGE
% playmovies( I, [fps], [loop] )
%
% INPUTS
% I - MxNxTxR or MxNx1xTxR or MxNx3xTxR array (if MxNxT calls
% playmovie)
% fps - [100] maximum number of frames to display per second use
% fps==0 to ... |
github | wasidennis/ObjectFlow-master | pca_apply_large.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/pca_apply_large.m | 2,132 | utf_8 | daf33ba3f73412c5d5b488d89b7cc495 | % Wrapper for pca_apply that allows for application to large X.
%
% Wrapper for pca_apply that splits and processes X in parts, this may be
% useful if processing cannot be done fully in parallel because of memory
% constraints. See pca_apply for usage.
%
% USAGE
% same as pca_apply
%
% INPUTS
% same as pca... |
github | wasidennis/ObjectFlow-master | montages2.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/montages2.m | 2,335 | utf_8 | 3ff14e5c538db6af4c9e1c99144d7c15 | % MONTAGES2 [4D] Used to display R sets of T images each.
%
% Displays one montage (see montage2) per row. Each of the R image sets is
% flattened to a single long image by concatenating the T images in the
% set. Alternative to montages.
%
% USAGE
% varargout = montages2( IS, [montage2prms], [padSiz] )
%
% ... |
github | wasidennis/ObjectFlow-master | filter_gauss_1D.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/filter_gauss_1D.m | 1,178 | utf_8 | 42acb7f8ac4ce94b6dc1dabe1e51e313 | % 1D Gaussian filter.
%
% Equivalent to (but faster then):
% f = fspecial('Gaussian',[2*r+1,1],sigma);
% f = filter_gauss_nD( 2*r+1, r+1, sigma^2 );
%
% USAGE
% f = filter_gauss_1D( r, sigma, [show] )
%
% INPUTS
% r - filter size=2r+1, if r=[] -> r=ceil(2.25*sigma)
% sigma - standard deviation o... |
github | wasidennis/ObjectFlow-master | clfEcoc.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/clfEcoc.m | 1,539 | utf_8 | 3cb7110d53d7eefcca505365b078fe8e | function clf = clfEcoc(p,clfInit,clfparams,nclasses,use01targets)
% Wrapper for ecoc that makes ecoc compatible with nfoldxval.
%
% Requires the SVM toolbox by Anton Schwaighofer.
%
% USAGE
% clf = clfEcoc(p,clfInit,clfparams,nclasses,use01targets)
%
% INPUTS
% p - data dimension
% clfInit ... |
github | wasidennis/ObjectFlow-master | getargs.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/getargs.m | 3,550 | utf_8 | b8ee235c28195894f0743b6cd00fd609 | % Utility to process parameter name/value pairs.
%
% DEPRECATED -- ONLY USED BY KMEANS2? SHOULD BE REMOVED.
% USE GETPARAMDEFAULTS INSTEAD.
%
% Based on code fromt Matlab Statistics Toolobox's "private/statgetargs.m"
%
% [EMSG,A,B,...]=GETARGS(PNAMES,DFLTS,'NAME1',VAL1,'NAME2',VAL2,...)
% accepts a cell array ... |
github | wasidennis/ObjectFlow-master | normxcorrn_fg.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/normxcorrn_fg.m | 2,771 | utf_8 | c0817b10bbc5d1793efad5fa7b4932ac | % Normalized n-dimensional cross-correlation with a mask.
%
% Similar to normxcorrn, except takes an additional argument that specifies
% a figure ground mask for the T. That is T_fg must be of the same
% dimensions as T, with each entry being 0 or 1, where zero specifies
% regions to ignore (the ground) and 1 sp... |
github | wasidennis/ObjectFlow-master | makemovie.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/makemovie.m | 1,313 | utf_8 | 7cadf737855cee5cb9a336e1204773c4 | % [3D] Used to convert a stack of T images into a movie.
%
% To display same data statically use montage.
%
% USAGE
% M = makemovies( IS )
%
% INPUTS
% IS - MxNxT or MxNx1xT or MxNx3xT array of movies.
%
% OUTPUTS
% M - resulting movie
%
% EXAMPLE
% load( 'images.mat' );
% ... |
github | wasidennis/ObjectFlow-master | localsum_block.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/localsum_block.m | 845 | utf_8 | d420d188aa320337183491498c7cc483 | % Calculates the sum in non-overlapping blocks of I of size dims.
%
% Similar to localsum except gets sum in non-overlapping windows.
% Equivalent to doing localsum, and then subsampling (except more
% efficient).
%
% USAGE
% I = localsum_block( I, dims )
%
% INPUTS
% I - matrix to compute sum over
%... |
github | wasidennis/ObjectFlow-master | imrotate2.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/imrotate2.m | 1,367 | utf_8 | 21148eb1e941255d74de56b5cb8994b1 | % Custom version of imrotate that demonstrates use of apply_homography.
%
% Works exactly the same as imrotate. For usage see imrotate.
%
% USAGE
% IR = imrotate2( I, angle, [method], [bbox] )
%
% INPUTS
% I - 2D image [converted to double]
% angle - angle to rotate in degrees
% method - ['linea... |
github | wasidennis/ObjectFlow-master | imSubsResize.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/imSubsResize.m | 1,379 | utf_8 | 7bcc46113f2b8619d539a20ecb5a1835 | % Resizes subs by resizVals.
%
% Resizes subs in subs/vals image representation by resizVals.
%
% This essentially replaces each sub by sub.*resizVals. The only subtlety
% is that in images the leftmost sub value is .5, so for example when
% resizing by a factor of 2, the first pixel is replaced by 2 pixels and ... |
github | wasidennis/ObjectFlow-master | imtranslate.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/imtranslate.m | 1,221 | utf_8 | 8a46326f7c0b520a89e2c4a153118ec9 | % Translate an image to subpixel accuracy.
%
% Note that for subplixel accuracy cannot use nearest neighbor interp.
%
% USAGE
% IR = imtranslate( I, dx, dy, [method], [bbox] )
%
% INPUTS
% I - 2D image [converted to double]
% dx - x translation (right)
% dy - y translation (up)
% method ... |
github | wasidennis/ObjectFlow-master | randperm2.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/randperm2.m | 1,444 | utf_8 | b8dc96688b2afddb3bd486803d3847b5 | % Returns a random permutation of integers.
%
% randperm2(n) is a random permutation of the integers from 1 to n. For
% example, randperm2(6) might be [2 4 5 6 1 3]. randperm2(n,k) is only
% returns the first k elements of the permuation, so for example
% randperm2(6) might be [2 4]. This is a faster version of ... |
github | wasidennis/ObjectFlow-master | apply_homography.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/apply_homography.m | 3,676 | utf_8 | 18c79558e14e422d02c755d8363c7460 | % Applies the homography defined by H on the image I.
%
% Takes the center of the image as the origin, not the top left corner.
% Also, the coordinate system is row/ column format, so H must be also.
%
% The bounding box of the image is set by the BBOX argument, a string that
% can be 'loose' (default) or 'crop'.... |
github | wasidennis/ObjectFlow-master | pca_apply.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/pca_apply.m | 2,506 | utf_8 | 4f38cdb1a3375943269e24dc6be6af65 | % Companion function to pca.
%
% Use pca to retrieve the principal components U and the mean mu from a
% set fo vectors X1 via [U,mu,vars] = pca(X1). Then given a new
% vector x, use y = pca_apply( x, U, mu, vars, k ) to get the first k
% coefficients of x in the space spanned by the columns of U. See pca for
% ... |
github | wasidennis/ObjectFlow-master | mode2.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/deprecated/mode2.m | 765 | utf_8 | f6b3681635cfe16059c5483214fb9814 | % Returns the mode of a vector.
%
% Was mode not part of Matlab before?
%
% USAGE
% y = mode2( x )
%
% INPUTS
% x - vector of integers
%
% OUTPUTS
% y - mode
%
% EXAMPLE
% x = randint2( 1, 10, [1 3] )
% mode(x), mode2( x )
%
% See also MODE
% Piotr's Image&Video Toolbox Version 1.5
% ... |
github | wasidennis/ObjectFlow-master | savefig.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/external/other/savefig.m | 13,374 | utf_8 | b8aace9bef044800b8fc876fde5bf33f | function savefig(fname, varargin)
% Usage: savefig(filename, fighdl, options)
%
% Saves a pdf, eps, png, jpeg, and/or tiff of the contents of the fighandle's (or current) figure.
% It saves an eps of the figure and the uses Ghostscript to convert to the other formats.
% The result is a cropped, clean picture. There a... |
github | wasidennis/ObjectFlow-master | dirSynch.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/matlab/dirSynch.m | 4,760 | utf_8 | 98722043acf461badcbf811797e8f35c | function dirSynch( root1, root2, showOnly, flag, ignDate )
% Synchronize two directory trees (or show differences between them).
%
% If a file or directory 'name' is found in both tree1 and tree2:
% 1) if 'name' is a file in both the pair is considered the same if they
% have identical size and identical date... |
github | wasidennis/ObjectFlow-master | plotRoc.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/matlab/plotRoc.m | 5,407 | utf_8 | 6de0cb3305bb49d76673c90ad10d3f43 | function [h,miss,stds] = plotRoc( D, varargin )
% Function for display of rocs (receiver operator characteristic curves).
%
% Display roc curves. Consistent usage ensures uniform look for rocs. The
% input D should have n rows, each of which is of the form:
% D = [falsePosRate truePosRate]
% D is generated, for ... |
github | wasidennis/ObjectFlow-master | simpleCache.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/matlab/simpleCache.m | 4,293 | utf_8 | 22f799042e5c852998fa3462c9363fc7 | function varargout = simpleCache( op, cache, varargin )
% A simple cache that can be used to store results of computations.
%
% Can save and retrieve arbitrary values using a vector (includnig char
% vectors) as a key. Especially useful if a function must perform heavy
% computation but is often called with the sa... |
github | wasidennis/ObjectFlow-master | tpsInterpolate.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/matlab/tpsInterpolate.m | 1,760 | utf_8 | 718883df87f2cad99fe591d11b8693db | function [xsR,ysR] = tpsInterpolate( warp, xs, ys, show )
% Apply warp (obtained by tpsGetWarp) to a set of new points.
%
% USAGE
% [xsR,ysR] = tpsInterpolate( warp, xs, ys, [show] )
%
% INPUTS
% warp - [see tpsGetWarp] bookstein warping parameters
% xs, ys - points to apply warp to
% show - [1] ... |
github | wasidennis/ObjectFlow-master | checkNumArgs.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/matlab/checkNumArgs.m | 3,968 | utf_8 | 262a28a0ba12c107b0244a10b38606ae | function [ x, er ] = checkNumArgs( x, siz, intFlag, signFlag )
% Helper utility for checking numeric vector arguments.
%
% Runs a number of tests on the numeric array x. Tests to see if x has all
% integer values, all positive values, and so on, depending on the values
% for intFlag and signFlag. Also tests to se... |
github | wasidennis/ObjectFlow-master | fevalDistr.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/matlab/fevalDistr.m | 12,765 | utf_8 | 3f490cb79ce1134078e2a18e6a47afba | function [out,res] = fevalDistr( funNm, jobs, varargin )
% Wrapper for embarrassingly parallel function evaluation.
%
% Runs "r=feval(funNm,jobs{i}{:})" for each job in a parallel manner. jobs
% should be a cell array of length nJob and each job should be a cell array
% of parameters to pass to funNm. funNm must b... |
github | wasidennis/ObjectFlow-master | medfilt1m.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/filters/medfilt1m.m | 3,138 | utf_8 | 0ae9cc23ba8aec631160413b125a39a2 | function y = medfilt1m( x, r, z )
% One-dimensional adaptive median filtering with missing values.
%
% Applies a width s=2*r+1 one-dimensional median filter to vector x, which
% may contain missing values (elements equal to z). If x contains no
% missing values, y(j) is set to the median of x(j-r:j+r). If x contai... |
github | wasidennis/ObjectFlow-master | FbMake.m | .m | ObjectFlow-master/caffe-cedn-dev/matlab/toolbox/filters/FbMake.m | 6,962 | utf_8 | de8baf5b056d6d153f8ae0755ade2de5 | function FB = FbMake( dim, flag, show )
% Various 1D/2D/3D filterbanks (hardcoded).
%
% USAGE
% FB = FbMake( dim, flag, [show] )
%
% INPUTS
% dim - dimension
% flag - controls type of filterbank to create
% - if d==1
% 1: gabor filter bank for spatiotemporal stuff
% - i... |
github | wasidennis/ObjectFlow-master | denoise_robust2.m | .m | ObjectFlow-master/External/flow_code_v2/utils/denoise_robust2.m | 3,458 | utf_8 | df87e1aa42b9d1cf97b545f04334f531 | function I = denoise_robust2(In, lambda, method, num_iter)
% function I = denoise_robust(In, lambda, gt)
%
% Denoise with a robust function by gradient descent
% (I-In)^2 + lambda*rho(f*I), where f is filter
%
% Author: Deqing Sun, Department of Computer Science, Brown University
% Contact: dqsun@cs.brown.edu
% $... |
github | wasidennis/ObjectFlow-master | computeColor.m | .m | ObjectFlow-master/External/flow_code_v2/utils/flowColorCode/computeColor.m | 3,178 | utf_8 | 399f4a33a2991cc15b437bc679aa251d | function img = computeColor(u,v)
% computeColor color codes flow field U, V
% According to the c++ source code of Daniel Scharstein
% Contact: schar@middlebury.edu
% Author: Deqing Sun, Department of Computer Science, Brown University
% Contact: dqsun@cs.brown.edu
% $Date: 2007-10-31 21:20:30 (Wed, 31 O... |
github | wasidennis/ObjectFlow-master | treeify.m | .m | ObjectFlow-master/External/libsvx.v3.0/ues/treeify.m | 3,299 | utf_8 | 73a1619e5cf0f9fa8b57c60de544bb31 | function treeify(sourcePath)
% This function modifies a hierarchical segmentation (e.g. SWA is a
% network) to a tree structure.
% Authors: Spencer Whitt and Chenliang Xu
% Contact: {swhitt,chenlian}@buffalo.edu
% Date: Nov. 2013
cd(sourcePath);
swa_path = '.';
dirs = list_dirs(swa_path);
%vid = cell... |
github | wasidennis/ObjectFlow-master | imagesAlign.m | .m | ObjectFlow-master/External/pdollar_toolbox/videos/imagesAlign.m | 8,167 | utf_8 | d125eb5beb502d940be5bd145521f34b | function [H,Ip] = imagesAlign( I, Iref, varargin )
% Fast and robust estimation of homography relating two images.
%
% The algorithm for image alignment is a simple but effective variant of
% the inverse compositional algorithm. For a thorough overview, see:
% "Lucas-kanade 20 years on A unifying framework,"
% S. B... |
github | wasidennis/ObjectFlow-master | opticalFlow.m | .m | ObjectFlow-master/External/pdollar_toolbox/videos/opticalFlow.m | 7,385 | utf_8 | 0fdca13d3caa4421fc488d0031e7838c | function [Vx,Vy,reliab] = opticalFlow( I1, I2, varargin )
% Coarse-to-fine optical flow using Lucas&Kanade or Horn&Schunck.
%
% Implemented 'type' of optical flow estimation:
% LK: http://en.wikipedia.org/wiki/Lucas-Kanade_method
% HS: http://en.wikipedia.org/wiki/Horn-Schunck_method
% SD: Simple block-based sum of ... |
github | wasidennis/ObjectFlow-master | seqWriterPlugin.m | .m | ObjectFlow-master/External/pdollar_toolbox/videos/seqWriterPlugin.m | 8,280 | utf_8 | 597792f79fff08b8bb709313267c3860 | function varargout = seqWriterPlugin( cmd, h, varargin )
% Plugin for seqIo and videoIO to allow writing of seq files.
%
% Do not call directly, use as plugin for seqIo or videoIO instead.
% The following is a list of commands available (swp=seqWriterPlugin):
% h=swp('open',h,fName,info) % Open a seq file for writing ... |
github | wasidennis/ObjectFlow-master | kernelTracker.m | .m | ObjectFlow-master/External/pdollar_toolbox/videos/kernelTracker.m | 9,315 | utf_8 | 4a7d0235f1e518ab5f1c9f1b5450b3f0 | function [allRct, allSim, allIc] = kernelTracker( I, prm )
% Kernel Tracker from Comaniciu, Ramesh and Meer PAMI 2003.
%
% Implements the algorithm described in "Kernel-Based Object Tracking" by
% Dorin Comaniciu, Visvanathan Ramesh and Peter Meer, PAMI 25, 564-577,
% 2003. This is a fast tracking algorithm that utili... |
github | wasidennis/ObjectFlow-master | seqIo.m | .m | ObjectFlow-master/External/pdollar_toolbox/videos/seqIo.m | 17,019 | utf_8 | 9c631b324bb527372ec3eed3416c5dcc | function out = seqIo( fName, action, varargin )
% Utilities for reading and writing seq files.
%
% A seq file is a series of concatentated image frames with a fixed size
% header. It is essentially the same as merging a directory of images into
% a single file. seq files are convenient for storing videos because: (1)
%... |
github | wasidennis/ObjectFlow-master | seqReaderPlugin.m | .m | ObjectFlow-master/External/pdollar_toolbox/videos/seqReaderPlugin.m | 9,617 | utf_8 | ad8f912634cafe13df6fc7d67aeff05a | function varargout = seqReaderPlugin( cmd, h, varargin )
% Plugin for seqIo and videoIO to allow reading of seq files.
%
% Do not call directly, use as plugin for seqIo or videoIO instead.
% The following is a list of commands available (srp=seqReaderPlugin):
% h = srp('open',h,fName) % Open a seq file for reading ... |
github | wasidennis/ObjectFlow-master | pcaApply.m | .m | ObjectFlow-master/External/pdollar_toolbox/classify/pcaApply.m | 3,320 | utf_8 | a06fc0e54d85930cbc0536c874ac63b7 | function varargout = pcaApply( X, U, mu, k )
% Companion function to pca.
%
% Use pca.m to retrieve the principal components U and the mean mu from a
% set of vectors x, then use pcaApply to get the first k coefficients of
% x in the space spanned by the columns of U. See pca for general usage.
%
% If x is large, pcaAp... |
github | wasidennis/ObjectFlow-master | forestTrain.m | .m | ObjectFlow-master/External/pdollar_toolbox/classify/forestTrain.m | 6,138 | utf_8 | de534e2a010f452a7b13167dbf9df239 | function forest = forestTrain( data, hs, varargin )
% Train random forest classifier.
%
% Dimensions:
% M - number trees
% F - number features
% N - number input vectors
% H - number classes
%
% USAGE
% forest = forestTrain( data, hs, [varargin] )
%
% INPUTS
% data - [NxF] N length F feature vectors
% hs ... |
github | wasidennis/ObjectFlow-master | fernsRegTrain.m | .m | ObjectFlow-master/External/pdollar_toolbox/classify/fernsRegTrain.m | 5,914 | utf_8 | b9ed2d87a22cb9cbb1e2632495ddaf1d | function [ferns,ysPr] = fernsRegTrain( data, ys, varargin )
% Train boosted fern regressor.
%
% Boosted regression using random ferns as the weak regressor. See "Greedy
% function approximation: A gradient boosting machine", Friedman, Annals of
% Statistics 2001, for more details on boosted regression.
%
% A few notes ... |
github | wasidennis/ObjectFlow-master | rbfDemo.m | .m | ObjectFlow-master/External/pdollar_toolbox/classify/rbfDemo.m | 2,929 | utf_8 | 14cc64fb77bcac3edec51cf6b84ab681 | function rbfDemo( dataType, noiseSig, scale, k, cluster, show )
% Demonstration of rbf networks for regression.
%
% See rbfComputeBasis for discussion of rbfs.
%
% USAGE
% rbfDemo( dataType, noiseSig, scale, k, cluster, show )
%
% INPUTS
% dataType - 0: 1D sinusoid
% 1: 2D sinusoid
% 2: ... |
github | wasidennis/ObjectFlow-master | pdist2.m | .m | ObjectFlow-master/External/pdollar_toolbox/classify/pdist2.m | 5,162 | utf_8 | 768ff9e8818251f756c8325368ee7d90 | function D = pdist2( X, Y, metric )
% Calculates the distance between sets of vectors.
%
% Let X be an m-by-p matrix representing m points in p-dimensional space
% and Y be an n-by-p matrix representing another set of points in the same
% space. This function computes the m-by-n distance matrix D where D(i,j)
% is the ... |
github | wasidennis/ObjectFlow-master | pca.m | .m | ObjectFlow-master/External/pdollar_toolbox/classify/pca.m | 3,244 | utf_8 | 848f2eb05c18a6e448e9d22af27b9422 | function [U,mu,vars] = pca( X )
% Principal components analysis (alternative to princomp).
%
% A simple linear dimensionality reduction technique. Use to create an
% orthonormal basis for the points in R^d such that the coordinates of a
% vector x in this basis are of decreasing importance. Instead of using all
% d bas... |
github | wasidennis/ObjectFlow-master | kmeans2.m | .m | ObjectFlow-master/External/pdollar_toolbox/classify/kmeans2.m | 5,251 | utf_8 | f941053f03c3e9eda40389a4cc64ee00 | function [ IDX, C, d ] = kmeans2( X, k, varargin )
% Fast version of kmeans clustering.
%
% Cluster the N x p matrix X into k clusters using the kmeans algorithm. It
% returns the cluster memberships for each data point in the N x 1 vector
% IDX and the K x p matrix of cluster means in C.
%
% This function is in some w... |
github | wasidennis/ObjectFlow-master | acfModify.m | .m | ObjectFlow-master/External/pdollar_toolbox/detector/acfModify.m | 4,202 | utf_8 | 7a49406d51e7a9431b8fd472be0476e8 | function detector = acfModify( detector, varargin )
% Modify aggregate channel features object detector.
%
% Takes an object detector trained by acfTrain() and modifies it. Only
% certain modifications are allowed to the detector and the detector should
% never be modified directly (this may cause the detector to be in... |
github | wasidennis/ObjectFlow-master | acfDetect.m | .m | ObjectFlow-master/External/pdollar_toolbox/detector/acfDetect.m | 3,659 | utf_8 | cf1384311b16371be6fa4715140e5c81 | function bbs = acfDetect( I, detector, fileName )
% Run aggregate channel features object detector on given image(s).
%
% The input 'I' can either be a single image (or filename) or a cell array
% of images (or filenames). In the first case, the return is a set of bbs
% where each row has the format [x y w h score] and... |
github | wasidennis/ObjectFlow-master | acfSweeps.m | .m | ObjectFlow-master/External/pdollar_toolbox/detector/acfSweeps.m | 10,730 | utf_8 | 78d640ed4b5b62600dd5164118a15408 | function acfSweeps
% Parameter sweeps for ACF pedestrian detector.
%
% Running the parameter sweeps requires altering internal flags.
% The sweeps are not well documented, use at your own discretion.
%
% Piotr's Computer Vision Matlab Toolbox Version NEW
% Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com]
% Lic... |
github | wasidennis/ObjectFlow-master | bbGt.m | .m | ObjectFlow-master/External/pdollar_toolbox/detector/bbGt.m | 34,046 | utf_8 | 69e66c9a0cc143fb9a794fbc9233246e | function varargout = bbGt( action, varargin )
% Bounding box (bb) annotations struct, evaluation and sampling routines.
%
% bbGt gives access to two types of routines:
% (1) Data structure for storing bb image annotations.
% (2) Routines for evaluating the Pascal criteria for object detection.
%
% The bb annotation sto... |
github | wasidennis/ObjectFlow-master | bbApply.m | .m | ObjectFlow-master/External/pdollar_toolbox/detector/bbApply.m | 21,195 | utf_8 | 8c02a6999a84bfb5fcbf2274b8b91a97 | function varargout = bbApply( action, varargin )
% Functions for manipulating bounding boxes (bb).
%
% A bounding box (bb) is also known as a position vector or a rectangle
% object. It is a four element vector with the fields: [x y w h]. A set of
% n bbs can be stores as an [nx4] array, most funcitons below can handle... |
github | wasidennis/ObjectFlow-master | imwrite2.m | .m | ObjectFlow-master/External/pdollar_toolbox/images/imwrite2.m | 5,086 | utf_8 | c98d66c2cddd9ec90beb9b1bbde31fe0 | function I = imwrite2( I, mulFlag, imagei, path, ...
name, ext, nDigits, nSplits, spliti, varargin )
% Similar to imwrite, except follows a strict naming convention.
%
% Wrapper for imwrite that writes file to the filename:
% fName = [path name int2str2(i,nDigits) '.' ext];
% Using imwrite:
% imwrite( I, fName, wri... |
github | wasidennis/ObjectFlow-master | convnFast.m | .m | ObjectFlow-master/External/pdollar_toolbox/images/convnFast.m | 9,102 | utf_8 | 03d05e74bb7ae2ecb0afd0ac115fda39 | function C = convnFast( A, B, shape )
% Fast convolution, replacement for both conv2 and convn.
%
% See conv2 or convn for more information on convolution in general.
%
% This works as a replacement for both conv2 and convn. Basically,
% performs convolution in either the frequency or spatial domain, depending
% on wh... |
github | wasidennis/ObjectFlow-master | imMlGauss.m | .m | ObjectFlow-master/External/pdollar_toolbox/images/imMlGauss.m | 5,674 | utf_8 | 56ead1b25fbe356f7912993d46468d02 | function varargout = imMlGauss( G, symmFlag, show )
% Calculates max likelihood params of Gaussian that gave rise to image G.
%
% Suppose G contains an image of a gaussian distribution. One way to
% recover the parameters of the gaussian is to threshold the image, and
% then estimate the mean/covariance based on the c... |
github | wasidennis/ObjectFlow-master | montage2.m | .m | ObjectFlow-master/External/pdollar_toolbox/images/montage2.m | 7,484 | utf_8 | 828f57d7b1f67d36eeb6056f06568ebf | function varargout = montage2( IS, prm )
% Used to display collections of images and videos.
%
% Improved version of montage, with more control over display.
% NOTE: Can convert between MxNxT and MxNx3xT image stack via:
% I = repmat( I, [1,1,1,3] ); I = permute(I, [1,2,4,3] );
%
% USAGE
% varargout = montage2( IS, ... |
github | wasidennis/ObjectFlow-master | jitterImage.m | .m | ObjectFlow-master/External/pdollar_toolbox/images/jitterImage.m | 5,252 | utf_8 | 3310f8412af00fd504c6f94b8c48992c | function IJ = jitterImage( I, varargin )
% Creates multiple, slightly jittered versions of an image.
%
% Takes an image I, and generates a number of images that are copies of the
% original image with slight translation, rotation and scaling applied. If
% the input image is actually an MxNxK stack of images then applie... |
github | wasidennis/ObjectFlow-master | movieToImages.m | .m | ObjectFlow-master/External/pdollar_toolbox/images/movieToImages.m | 889 | utf_8 | 28c71798642af276951ee27e2d332540 | function I = movieToImages( M )
% Creates a stack of images from a matlab movie M.
%
% Repeatedly calls frame2im. Useful for playback with playMovie.
%
% USAGE
% I = movieToImages( M )
%
% INPUTS
% M - a matlab movie
%
% OUTPUTS
% I - MxNxT array (of images)
%
% EXAMPLE
% load( 'images.mat' ); [X,map]=gray2ind... |
github | wasidennis/ObjectFlow-master | toolboxUpdateHeader.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/toolboxUpdateHeader.m | 2,255 | utf_8 | 7a5b75e586be48da97c84d20b59887ff | function toolboxUpdateHeader
% Update the headers of all the files.
%
% USAGE
% toolboxUpdateHeader
%
% INPUTS
%
% OUTPUTS
%
% EXAMPLE
%
% See also
%
% Piotr's Computer Vision Matlab Toolbox Version 3.40
% Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com]
% Licensed under the Simplified BSD License [see extern... |
github | wasidennis/ObjectFlow-master | toolboxGenDoc.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/toolboxGenDoc.m | 3,639 | utf_8 | 4c21fb34fa9b6002a1a98a28ab40c270 | function toolboxGenDoc
% Generate documentation, must run from dir toolbox.
%
% 1) Make sure to update and run toolboxUpdateHeader.m
% 2) Update history.txt appropriately, including w current version
% 3) Update overview.html file with the version/date/link to zip:
% edit external/m2html/templates/frame-piotr/overv... |
github | wasidennis/ObjectFlow-master | toolboxHeader.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/toolboxHeader.m | 2,391 | utf_8 | 30c24a94fb54ca82622719adcab17903 | function [y1,y2] = toolboxHeader( x1, x2, x3, prm )
% One line description of function (will appear in file summary).
%
% General commments explaining purpose of function [width is 75
% characters]. There may be multiple paragraphs. In special cases some or
% all of these guidelines may need to be broken.
%
% Next come... |
github | wasidennis/ObjectFlow-master | mdot.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/m2html/mdot.m | 2,516 | utf_8 | 34a14428c433e118d1810e23f5a6caf5 | function mdot(mmat, dotfile,f)
%MDOT - Export a dependency graph into DOT language
% MDOT(MMAT, DOTFILE) loads a .mat file generated by M2HTML using option
% ('save','on') and writes an ascii file using the DOT language that can
% be drawn using <dot> or <neato> .
% MDOT(MMAT, DOTFILE,F) builds the graph containing... |
github | wasidennis/ObjectFlow-master | m2html.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/m2html/m2html.m | 49,063 | utf_8 | 472047b4c36a4f8b162012840e31b59b | function m2html(varargin)
%M2HTML - Documentation Generator for Matlab M-files and Toolboxes in HTML
% M2HTML by itself generates an HTML documentation of the Matlab M-files found
% in the direct subdirectories of the current directory. HTML files are
% written in a 'doc' directory (created if necessary). All the o... |
github | wasidennis/ObjectFlow-master | doxysearch.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/m2html/private/doxysearch.m | 7,724 | utf_8 | 8331cde8495f34b86aef8c18656b37f2 | function result = doxysearch(query,filename)
%DOXYSEARCH Search a query in a 'search.idx' file
% RESULT = DOXYSEARCH(QUERY,FILENAME) looks for request QUERY
% in FILENAME (Doxygen search.idx format) and returns a list of
% files responding to the request in RESULT.
%
% See also DOXYREAD, DOXYWRITE
% Copyright (C)... |
github | wasidennis/ObjectFlow-master | doxywrite.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/m2html/private/doxywrite.m | 3,584 | utf_8 | 3255d8f824957ebc173dde374d0f78af | function doxywrite(filename, kw, statinfo, docinfo)
%DOXYWRITE Write a 'search.idx' file compatible with DOXYGEN
% DOXYWRITE(FILENAME, KW, STATINFO, DOCINFO) writes file FILENAME
% (Doxygen search.idx. format) using the cell array KW containing the
% word list, the sparse matrix (nbword x nbfile) with non-null value... |
github | wasidennis/ObjectFlow-master | doxyread.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/m2html/private/doxyread.m | 3,093 | utf_8 | 3152e7d26bf7ac64118be56f72832a20 | function [statlist, docinfo] = doxyread(filename)
%DOXYREAD Read a 'search.idx' file generated by DOXYGEN
% STATLIST = DOXYREAD(FILENAME) reads FILENAME (Doxygen search.idx
% format) and returns the list of keywords STATLIST as a cell array.
% [STATLIST, DOCINFO] = DOXYREAD(FILENAME) also returns a cell array
% con... |
github | wasidennis/ObjectFlow-master | imwrite2split.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/imwrite2split.m | 1,617 | utf_8 | 4222fd45df123e6dec9ef40ae793004f | % Writes/reads a large set of images into/from multiple directories.
%
% This is useful since certain OS handle very large directories (of say
% >20K images) rather poorly (I'm talking to you Bill). Thus, can take
% 100K images, and write into 5 separate directories, then read them back
% in.
%
% USAGE
% I = imwrite2... |
github | wasidennis/ObjectFlow-master | playmovies.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/playmovies.m | 1,935 | utf_8 | ef2eaad8a130936a1a281f1277ca0ea1 | % [4D] shows R videos simultaneously as a movie.
%
% Plays a movie.
%
% USAGE
% playmovies( I, [fps], [loop] )
%
% INPUTS
% I - MxNxTxR or MxNx1xTxR or MxNx3xTxR array (if MxNxT calls
% playmovie)
% fps - [100] maximum number of frames to display per second use
% fps==0 to introduce n... |
github | wasidennis/ObjectFlow-master | pca_apply_large.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/pca_apply_large.m | 2,062 | utf_8 | af84a2179b9d8042519bc6b378736a88 | % Wrapper for pca_apply that allows for application to large X.
%
% Wrapper for pca_apply that splits and processes X in parts, this may be
% useful if processing cannot be done fully in parallel because of memory
% constraints. See pca_apply for usage.
%
% USAGE
% same as pca_apply
%
% INPUTS
% same as pca_apply
%
%... |
github | wasidennis/ObjectFlow-master | montages2.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/montages2.m | 2,269 | utf_8 | 505e2be915d65fff8bfef8473875cc98 | % MONTAGES2 [4D] Used to display R sets of T images each.
%
% Displays one montage (see montage2) per row. Each of the R image sets is
% flattened to a single long image by concatenating the T images in the
% set. Alternative to montages.
%
% USAGE
% varargout = montages2( IS, [montage2prms], [padSiz] )
%
% INPUTS
% ... |
github | wasidennis/ObjectFlow-master | filter_gauss_1D.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/filter_gauss_1D.m | 1,137 | utf_8 | 94a453b82dcdeba67bd886e042d552d9 | % 1D Gaussian filter.
%
% Equivalent to (but faster then):
% f = fspecial('Gaussian',[2*r+1,1],sigma);
% f = filter_gauss_nD( 2*r+1, r+1, sigma^2 );
%
% USAGE
% f = filter_gauss_1D( r, sigma, [show] )
%
% INPUTS
% r - filter size=2r+1, if r=[] -> r=ceil(2.25*sigma)
% sigma - standard deviation of filter
% ... |
github | wasidennis/ObjectFlow-master | clfEcoc.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/clfEcoc.m | 1,493 | utf_8 | e77e1b4fd5469ed39f47dd6ed15f130f | function clf = clfEcoc(p,clfInit,clfparams,nclasses,use01targets)
% Wrapper for ecoc that makes ecoc compatible with nfoldxval.
%
% Requires the SVM toolbox by Anton Schwaighofer.
%
% USAGE
% clf = clfEcoc(p,clfInit,clfparams,nclasses,use01targets)
%
% INPUTS
% p - data dimension
% clfInit - bi... |
github | wasidennis/ObjectFlow-master | getargs.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/getargs.m | 3,455 | utf_8 | de2bab917fa6b9ba3099f1c6b6d68cf0 | % Utility to process parameter name/value pairs.
%
% DEPRECATED -- ONLY USED BY KMEANS2? SHOULD BE REMOVED.
% USE GETPARAMDEFAULTS INSTEAD.
%
% Based on code fromt Matlab Statistics Toolobox's "private/statgetargs.m"
%
% [EMSG,A,B,...]=GETARGS(PNAMES,DFLTS,'NAME1',VAL1,'NAME2',VAL2,...)
% accepts a cell array PNAMES o... |
github | wasidennis/ObjectFlow-master | normxcorrn_fg.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/normxcorrn_fg.m | 2,699 | utf_8 | e65c38d97efb3a624e0fa94a97f75eb6 | % Normalized n-dimensional cross-correlation with a mask.
%
% Similar to normxcorrn, except takes an additional argument that specifies
% a figure ground mask for the T. That is T_fg must be of the same
% dimensions as T, with each entry being 0 or 1, where zero specifies
% regions to ignore (the ground) and 1 specifi... |
github | wasidennis/ObjectFlow-master | makemovie.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/makemovie.m | 1,266 | utf_8 | 9a03d9a5227c4eaa86520f206ce283e7 | % [3D] Used to convert a stack of T images into a movie.
%
% To display same data statically use montage.
%
% USAGE
% M = makemovies( IS )
%
% INPUTS
% IS - MxNxT or MxNx1xT or MxNx3xT array of movies.
%
% OUTPUTS
% M - resulting movie
%
% EXAMPLE
% load( 'images.mat' );
% M = makemovie(... |
github | wasidennis/ObjectFlow-master | localsum_block.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/localsum_block.m | 815 | utf_8 | 1216b03a3bd44ff1fc3256de16a2f1c6 | % Calculates the sum in non-overlapping blocks of I of size dims.
%
% Similar to localsum except gets sum in non-overlapping windows.
% Equivalent to doing localsum, and then subsampling (except more
% efficient).
%
% USAGE
% I = localsum_block( I, dims )
%
% INPUTS
% I - matrix to compute sum over
% dims -... |
github | wasidennis/ObjectFlow-master | imrotate2.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/imrotate2.m | 1,326 | utf_8 | bb2ff6c3138ce5f53154d58d7ebc4f31 | % Custom version of imrotate that demonstrates use of apply_homography.
%
% Works exactly the same as imrotate. For usage see imrotate.
%
% USAGE
% IR = imrotate2( I, angle, [method], [bbox] )
%
% INPUTS
% I - 2D image [converted to double]
% angle - angle to rotate in degrees
% method - ['linear'] 'neare... |
github | wasidennis/ObjectFlow-master | imSubsResize.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/imSubsResize.m | 1,338 | utf_8 | cd7dedf790c015adfb1f2d620e9ed82f | % Resizes subs by resizVals.
%
% Resizes subs in subs/vals image representation by resizVals.
%
% This essentially replaces each sub by sub.*resizVals. The only subtlety
% is that in images the leftmost sub value is .5, so for example when
% resizing by a factor of 2, the first pixel is replaced by 2 pixels and so
% l... |
github | wasidennis/ObjectFlow-master | imtranslate.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/imtranslate.m | 1,183 | utf_8 | 054727fb31c105414b655c0f938b6ced | % Translate an image to subpixel accuracy.
%
% Note that for subplixel accuracy cannot use nearest neighbor interp.
%
% USAGE
% IR = imtranslate( I, dx, dy, [method], [bbox] )
%
% INPUTS
% I - 2D image [converted to double]
% dx - x translation (right)
% dy - y translation (up)
% method - ['linear... |
github | wasidennis/ObjectFlow-master | randperm2.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/randperm2.m | 1,398 | utf_8 | 5007722f3d5f5ba7c0f83f32ef8a3a2c | % Returns a random permutation of integers.
%
% randperm2(n) is a random permutation of the integers from 1 to n. For
% example, randperm2(6) might be [2 4 5 6 1 3]. randperm2(n,k) is only
% returns the first k elements of the permuation, so for example
% randperm2(6) might be [2 4]. This is a faster version of randp... |
github | wasidennis/ObjectFlow-master | apply_homography.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/apply_homography.m | 3,582 | utf_8 | 9c3ed72d35b1145f41114e6e6135b44f | % Applies the homography defined by H on the image I.
%
% Takes the center of the image as the origin, not the top left corner.
% Also, the coordinate system is row/ column format, so H must be also.
%
% The bounding box of the image is set by the BBOX argument, a string that
% can be 'loose' (default) or 'crop'. When ... |
github | wasidennis/ObjectFlow-master | pca_apply.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/pca_apply.m | 2,427 | utf_8 | 0831befb6057f8502bc492227455019a | % Companion function to pca.
%
% Use pca to retrieve the principal components U and the mean mu from a
% set fo vectors X1 via [U,mu,vars] = pca(X1). Then given a new
% vector x, use y = pca_apply( x, U, mu, vars, k ) to get the first k
% coefficients of x in the space spanned by the columns of U. See pca for
% genera... |
github | wasidennis/ObjectFlow-master | mode2.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/deprecated/mode2.m | 731 | utf_8 | 5c9321ef4b610b4f4a2d43902a68838e | % Returns the mode of a vector.
%
% Was mode not part of Matlab before?
%
% USAGE
% y = mode2( x )
%
% INPUTS
% x - vector of integers
%
% OUTPUTS
% y - mode
%
% EXAMPLE
% x = randint2( 1, 10, [1 3] )
% mode(x), mode2( x )
%
% See also MODE
% Piotr's Image&Video Toolbox Version 1.5
% Written and maintain... |
github | wasidennis/ObjectFlow-master | savefig.m | .m | ObjectFlow-master/External/pdollar_toolbox/external/other/savefig.m | 13,459 | utf_8 | 2b8463f9b01ceb743e440d8fb5755829 | function savefig(fname, varargin)
% Usage: savefig(filename, fighdl, options)
%
% Saves a pdf, eps, png, jpeg, and/or tiff of the contents of the fighandle's (or current) figure.
% It saves an eps of the figure and the uses Ghostscript to convert to the other formats.
% The result is a cropped, clean picture. There a... |
github | wasidennis/ObjectFlow-master | dirSynch.m | .m | ObjectFlow-master/External/pdollar_toolbox/matlab/dirSynch.m | 4,570 | utf_8 | d288299d31d15f1804183206d0aa0227 | function dirSynch( root1, root2, showOnly, flag, ignDate )
% Synchronize two directory trees (or show differences between them).
%
% If a file or directory 'name' is found in both tree1 and tree2:
% 1) if 'name' is a file in both the pair is considered the same if they
% have identical size and identical datestamp... |
github | wasidennis/ObjectFlow-master | plotRoc.m | .m | ObjectFlow-master/External/pdollar_toolbox/matlab/plotRoc.m | 5,212 | utf_8 | 008f9c63073c6400c4960e9e213c47e5 | function [h,miss,stds] = plotRoc( D, varargin )
% Function for display of rocs (receiver operator characteristic curves).
%
% Display roc curves. Consistent usage ensures uniform look for rocs. The
% input D should have n rows, each of which is of the form:
% D = [falsePosRate truePosRate]
% D is generated, for exampl... |
github | wasidennis/ObjectFlow-master | simpleCache.m | .m | ObjectFlow-master/External/pdollar_toolbox/matlab/simpleCache.m | 4,098 | utf_8 | 92df86b0b7e919c9a26388e598e4d370 | function varargout = simpleCache( op, cache, varargin )
% A simple cache that can be used to store results of computations.
%
% Can save and retrieve arbitrary values using a vector (includnig char
% vectors) as a key. Especially useful if a function must perform heavy
% computation but is often called with the same in... |
github | wasidennis/ObjectFlow-master | tpsInterpolate.m | .m | ObjectFlow-master/External/pdollar_toolbox/matlab/tpsInterpolate.m | 1,646 | utf_8 | d3bd3a26d048f32cfdc17884ccae6d8c | function [xsR,ysR] = tpsInterpolate( warp, xs, ys, show )
% Apply warp (obtained by tpsGetWarp) to a set of new points.
%
% USAGE
% [xsR,ysR] = tpsInterpolate( warp, xs, ys, [show] )
%
% INPUTS
% warp - [see tpsGetWarp] bookstein warping parameters
% xs, ys - points to apply warp to
% show - [1] will disp... |
github | wasidennis/ObjectFlow-master | checkNumArgs.m | .m | ObjectFlow-master/External/pdollar_toolbox/matlab/checkNumArgs.m | 3,796 | utf_8 | 726c125c7dc994c4989c0e53ad4be747 | function [ x, er ] = checkNumArgs( x, siz, intFlag, signFlag )
% Helper utility for checking numeric vector arguments.
%
% Runs a number of tests on the numeric array x. Tests to see if x has all
% integer values, all positive values, and so on, depending on the values
% for intFlag and signFlag. Also tests to see if ... |
github | wasidennis/ObjectFlow-master | fevalDistr.m | .m | ObjectFlow-master/External/pdollar_toolbox/matlab/fevalDistr.m | 11,227 | utf_8 | 7e4d5077ef3d7a891b2847cb858a2c6c | function [out,res] = fevalDistr( funNm, jobs, varargin )
% Wrapper for embarrassingly parallel function evaluation.
%
% Runs "r=feval(funNm,jobs{i}{:})" for each job in a parallel manner. jobs
% should be a cell array of length nJob and each job should be a cell array
% of parameters to pass to funNm. funNm must be a f... |
github | wasidennis/ObjectFlow-master | medfilt1m.m | .m | ObjectFlow-master/External/pdollar_toolbox/filters/medfilt1m.m | 2,998 | utf_8 | a3733d27c60efefd57ada9d83ccbaa3d | function y = medfilt1m( x, r, z )
% One-dimensional adaptive median filtering with missing values.
%
% Applies a width s=2*r+1 one-dimensional median filter to vector x, which
% may contain missing values (elements equal to z). If x contains no
% missing values, y(j) is set to the median of x(j-r:j+r). If x contains
% ... |
github | wasidennis/ObjectFlow-master | FbMake.m | .m | ObjectFlow-master/External/pdollar_toolbox/filters/FbMake.m | 6,692 | utf_8 | b625c1461a61485af27e490333350b4b | function FB = FbMake( dim, flag, show )
% Various 1D/2D/3D filterbanks (hardcoded).
%
% USAGE
% FB = FbMake( dim, flag, [show] )
%
% INPUTS
% dim - dimension
% flag - controls type of filterbank to create
% - if d==1
% 1: gabor filter bank for spatiotemporal stuff
% - if d==2
% ... |
github | FWen/LqLA-Sparse-Recovery-master | stblrnd.m | .m | LqLA-Sparse-Recovery-master/sim_sparse_signal/stblrnd.m | 3,788 | utf_8 | dcb28ab4336e717c89a9138c2208ef86 | function r = stblrnd(alpha,beta,gamma,delta,varargin)
%STBLRND alpha-stable random number generator.
% R = STBLRND(ALPHA,BETA,GAMMA,DELTA) draws a sample from the Levy
% alpha-stable distribution with characteristic exponent ALPHA,
% skewness BETA, scale parameter GAMMA and location parameter DELTA.
% ALPHA,BETA,GAMM... |
github | FWen/LqLA-Sparse-Recovery-master | stblrnd.m | .m | LqLA-Sparse-Recovery-master/image_recovery/stblrnd.m | 3,788 | utf_8 | dcb28ab4336e717c89a9138c2208ef86 | function r = stblrnd(alpha,beta,gamma,delta,varargin)
%STBLRND alpha-stable random number generator.
% R = STBLRND(ALPHA,BETA,GAMMA,DELTA) draws a sample from the Levy
% alpha-stable distribution with characteristic exponent ALPHA,
% skewness BETA, scale parameter GAMMA and location parameter DELTA.
% ALPHA,BETA,GAMM... |
github | cvjena/liblinearwrapper-master | initWorkspaceLibLinear.m | .m | liblinearwrapper-master/initWorkspaceLibLinear.m | 2,904 | utf_8 | 2f8bfe5d69155103a7109a235375bdae | function initWorkspaceLibLinear
% function initWorkspaceLibLinear
%
% BRIEF
% Add local subfolders and 3rd party libraries to Matlabs work space.
%
% Exemplary call from external position:
% LIBLINEARWRAPDIR = '/place/to/this/repository/';
% currentDir = pwd;
% cd ( LIBLINEARWRAPDIR );
% ... |
github | cvjena/liblinearwrapper-master | validation_function.m | .m | liblinearwrapper-master/binary/validation_function.m | 2,395 | utf_8 | f03e03313bf3bee36ec4cdf3657e6c1e | function ret = validation_function(dec, labels);
labels = (labels >= 0) - (labels < 0);
valid_function = @(dec, labels) auc(dec, labels);
ret = valid_function(dec, labels);
%precision(dec, labels);
%recall(dec, labels);
%fscore(dec, labels);
%bac(dec, labels);
%auc(dec, labels);
%accuracy(dec, labels);
function ret = ... |
github | CMU-Perceptual-Computing-Lab/panoptic-toolbox-master | savejson.m | .m | panoptic-toolbox-master/matlab/jsonlab/savejson.m | 18,983 | utf_8 | 2f510ad749556cadd303786e2549f30a | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | CMU-Perceptual-Computing-Lab/panoptic-toolbox-master | loadjson.m | .m | panoptic-toolbox-master/matlab/jsonlab/loadjson.m | 16,145 | ibm852 | 7582071c5bd7f5e5f74806ce191a9078 | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | CMU-Perceptual-Computing-Lab/panoptic-toolbox-master | loadubjson.m | .m | panoptic-toolbox-master/matlab/jsonlab/loadubjson.m | 13,300 | utf_8 | b15e959f758c5c2efa2711aa79c443fc | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2013/08/01
%
% $Id$
%
% input:
% fname: ... |
github | CMU-Perceptual-Computing-Lab/panoptic-toolbox-master | saveubjson.m | .m | panoptic-toolbox-master/matlab/jsonlab/saveubjson.m | 17,723 | utf_8 | 3414421172c05225dfbd4a9c8c76e6b3 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | zheng-yuwei/Auto-Encoder-Variants-Object-Oriented-master | WolfeLineSearch.m | .m | Auto-Encoder-Variants-Object-Oriented-master/minFunc/WolfeLineSearch.m | 11,106 | utf_8 | f97d9ca0bf8aab87df9aa65e74f98589 | function [t,f_new,g_new,funEvals,H] = WolfeLineSearch(...
x,t,d,f,g,gtd,c1,c2,LS,maxLS,tolX,debug,doPlot,saveHessianComp,funObj,varargin)
%
% Bracketing Line Search to Satisfy Wolfe Conditions
%
% Inputs:
% x: starting location
% t: initial step size
% d: descent direction
% f: function value at starting lo... |
github | zheng-yuwei/Auto-Encoder-Variants-Object-Oriented-master | minFunc_processInputOptions.m | .m | Auto-Encoder-Variants-Object-Oriented-master/minFunc/minFunc_processInputOptions.m | 3,551 | utf_8 | ea7fbcf303b9cafeca4045921adad934 |
function [verbose,verboseI,debug,doPlot,maxFunEvals,maxIter,tolFun,tolX,method,...
corrections,c1,c2,LS_init,LS,cgSolve,qnUpdate,cgUpdate,initialHessType,...
HessianModify,Fref,useComplex,numDiff,LS_saveHessianComp,...
DerivativeCheck,Damped,HvFunc,bbType,cycle,...
HessianIter,outputFcn,useMex,useNegCu... |
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