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github | phcerdan/isotropic_wavelet_collection-master | vol3d.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/output/vol3d/vol3d.m | 6,764 | utf_8 | e4f44d85da25566db395b80788acf5a2 | function [model] = vol3d(varargin)
%H = VOL3D Volume render 3-D data.
% VOL3D uses the orthogonal plane 2-D texture mapping technique for
% volume rending 3-D data in OpenGL. Use the 'texture' option to fine
% tune the texture mapping technique. This function is best used with
% fast OpenGL hardware.
%
% H = ... |
github | phcerdan/isotropic_wavelet_collection-master | halfSizeEllipsoidalMask.m | .m | isotropic_wavelet_collection-master/chenouard_riesz/3D/waveletTransform/halfSizeEllipsoidalMask.m | 1,068 | utf_8 | 24c8a75dfa6baf1e67663839f922addd | % -------------------------------------------------------------------------
%
% AUTHOR:
% Nicolas Chenouard, nicolas.chenouard@gmail.com
% Ecole Polytechnique Federale de Lausanne
%
% -------------------------------------------------------------------------
%
% REFERENCE:
% N. Chenouard, M. Unser, "3D Steera... |
github | phcerdan/isotropic_wavelet_collection-master | aldroubiMask.m | .m | isotropic_wavelet_collection-master/chenouard_riesz/3D/waveletTransform/aldroubiMask.m | 1,820 | utf_8 | 289e0db2b7ec488305ac9485f4d5a562 | % -------------------------------------------------------------------------
%
% AUTHOR:
% Nicolas Chenouard, nicolas.chenouard@gmail.com
% Ecole Polytechnique Federale de Lausanne
%
% -------------------------------------------------------------------------
%
% REFERENCE:
% N. Chenouard, M. Unser, "3D Steera... |
github | phcerdan/isotropic_wavelet_collection-master | meyerMask.m | .m | isotropic_wavelet_collection-master/chenouard_riesz/3D/waveletTransform/meyerMask.m | 1,662 | utf_8 | bb8e7d91b6effe205ef64e555b03a2dc | function [maskHP, maskLP] = meyerMask(w,h,d)
% -------------------------------------------------------------------------
%
% AUTHOR:
% Nicolas Chenouard, nicolas.chenouard@gmail.com
% Ecole Polytechnique Federale de Lausanne
%
% -------------------------------------------------------------------------
%
% REFE... |
github | phcerdan/isotropic_wavelet_collection-master | RieszPrepareTransform.m | .m | isotropic_wavelet_collection-master/chenouard_riesz/3D/Riesz/RieszPrepareTransform.m | 13,628 | utf_8 | d058cc38fc1c4fbd50d6ed5f28097e52 | function config = RieszPrepareTransform(config)
% RIESZPREPARETRANSFORM Prepare the Riesz filters for Riesz pyramid in 3D
%
% config = RieszPrepareTransform(config) Prepare the Riesz filters for the
% Riesz pyramid in 3D corresponding to the RieszConfig object config.
% Returns a new RieszConfig object config containin... |
github | phcerdan/isotropic_wavelet_collection-master | vol3d.m | .m | isotropic_wavelet_collection-master/chenouard_riesz/3D/output/vol3d/vol3d.m | 6,764 | utf_8 | e4f44d85da25566db395b80788acf5a2 | function [model] = vol3d(varargin)
%H = VOL3D Volume render 3-D data.
% VOL3D uses the orthogonal plane 2-D texture mapping technique for
% volume rending 3-D data in OpenGL. Use the 'texture' option to fine
% tune the texture mapping technique. This function is best used with
% fast OpenGL hardware.
%
% H = ... |
github | phcerdan/isotropic_wavelet_collection-master | meyerMask.m | .m | isotropic_wavelet_collection-master/chenouard_riesz/2D/waveletTransform/masks/meyerMask.m | 1,842 | utf_8 | 128db448ebff05d43383e285a5b759e2 | function [maskHP maskLP] = meyerMask(w,h,d)
% MEYERMASK build ellipsoidal mask that cuts the frequency
% plane at pi/2 for the norm of the frequency vector with a smooth
% transition. It generates Meyer's wavelets.
%
% --------------------------------------------------------------------------
% Input arguments:
%
% W ... |
github | phcerdan/isotropic_wavelet_collection-master | fullMonogenicAnalysis.m | .m | isotropic_wavelet_collection-master/chenouard_riesz/2D/monogenicAnalysis/fullMonogenicAnalysis.m | 5,163 | utf_8 | 5b450b7421f8c32a661de2999873150f | function [ang, coherency, amplitude, phase, waveNumber, QA, Qwav, rieszConfig] = fullMonogenicAnalysis(A, J, sigma, full)
% FULLMONOGENICANALYSIS perform a complete multiscale monogenic analysis of an image
%
% --------------------------------------------------------------------------
% Input arguments:
%
% A an image ... |
github | phcerdan/isotropic_wavelet_collection-master | RieszPrepareTransform2D.m | .m | isotropic_wavelet_collection-master/chenouard_riesz/2D/riesz/RieszPrepareTransform2D.m | 6,548 | utf_8 | 57945aebd6c17e3a77ebf4b42f179a59 | function config = RieszPrepareTransform2D(config)
% RIESZPREPARETRANSFORM2D Prepare the Riesz filters for Riesz pyramid in 2D
%
% config = RieszPrepareTransform2D(config) Prepare the Riesz filters for the
% Riesz pyramid in 2D corresponding to the RieszConfig2D object config.
% Returns a new RieszConfig object config c... |
github | byangderek/CCF-master | bbCrop2.m | .m | CCF-master/bbCrop2.m | 272 | utf_8 | d2350c443c55acafbd248a6f33d20580 | %% ------------------------------------------------------ %%
function patch = bbCrop2(inputIm, bbs, imPyrd)
%% ------------------------------------------------------ %%
patch = inputIm;
for i=1:size(bbs,1)
patch(bbs(i,3):bbs(i,4),bbs(i,1):bbs(i,2),:) = imPyrd{i};
end
end |
github | byangderek/CCF-master | cnnDetect.m | .m | CCF-master/cnnDetect.m | 2,097 | utf_8 | 2ca34374d7026fb7640768c0361eb9e8 | function allBBs = cnnDetect(fs, ds, opts, cnn)
testNum = length(fs);
nDs = length(ds);
allBBs = cell(testNum,1);
for i=1:testNum
fprintf('\n%d/%d\n',i,testNum);
I = imread(fs{i});
w = size(I,2);
I = single(I);
if(size(I,3)==1)
I = cat(3,I,I,I);
end
if(opts.imresize~=1)
I = imre... |
github | byangderek/CCF-master | bbCrop.m | .m | CCF-master/bbCrop.m | 549 | utf_8 | d812f1a7e7cea2c4fe4f7f05b1a78850 | %% ------------------------------------------------------ %%
function patch = bbCrop(im, bb, meanPixel)
%% ------------------------------------------------------ %%
patch = single(zeros(bb(4)-bb(3)+1,bb(2)-bb(1)+1,3));
patch(:,:,1) = meanPixel(3);
patch(:,:,2) = meanPixel(2);
patch(:,:,3) = meanPixel(1);
[h,w,~] = size... |
github | byangderek/CCF-master | cnnPyramid.m | .m | CCF-master/cnnPyramid.m | 6,724 | utf_8 | 44aaca8cb2b97698c71100cc6cce3d93 | function Pyr = cnnPyramid(I,opts,cnn)
% DEFAULT input params setting:
% input_size [900] must be divideable by stride!
% stride [4]
% pad [16] must be divideable by stride!
% meanPixel [103.939 116.779 123.68] BGR value
%
% You may need to debug codes a little with different
% input params setting. Practically, stride... |
github | byangderek/CCF-master | prepareBatch.m | .m | CCF-master/prepareBatch.m | 401 | utf_8 | b0bf6f920dff1ef5e4583976f50807f0 | %% ------------------------------------------------------ %%
function data = prepareBatch(batches, meanPixel)
% mean-subtraction, permute...
%% ------------------------------------------------------ %%
nBatch = length(batches);
data = cell(nBatch,1);
for i=1:nBatch
im = batches{i}(:,:,[3 2 1]);
im = permute(im,[2 1 ... |
github | byangderek/CCF-master | getFeat_train.m | .m | CCF-master/getFeat_train.m | 2,242 | utf_8 | 3ff828f579b55470ab6950e2384bfa89 | function getFeat_train()
% Running on machine with >32G RAM is recommended,
% or you can change the batch size.
%
addpath(['path_to_caffe_codes' '/matlab/caffe']);
model_def = './data/CaffeNets/VGG_ILSVRC_16_layers_conv3_144.prototxt';
model_file = './data/CaffeNets/VGG_ILSVRC_16_layers.caffemodel';
caffe('reset');
ca... |
github | byangderek/CCF-master | prepare_batch.m | .m | CCF-master/caffe/matlab/caffe/prepare_batch.m | 1,298 | utf_8 | 68088231982895c248aef25b4886eab0 | % ------------------------------------------------------------------------
function images = prepare_batch(image_files,IMAGE_MEAN,batch_size)
% ------------------------------------------------------------------------
if nargin < 2
d = load('ilsvrc_2012_mean');
IMAGE_MEAN = d.image_mean;
end
num_images = length... |
github | byangderek/CCF-master | matcaffe_demo_vgg.m | .m | CCF-master/caffe/matlab/caffe/matcaffe_demo_vgg.m | 3,036 | utf_8 | f836eefad26027ac1be6e24421b59543 | function scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file, mean_file)
% scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file, mean_file)
%
% Demo of the matlab wrapper using the networks described in the BMVC-2014 paper "Return of the Devil in the Details: Delving Deep into Convolutional... |
github | byangderek/CCF-master | matcaffe_demo.m | .m | CCF-master/caffe/matlab/caffe/matcaffe_demo.m | 3,344 | utf_8 | 669622769508a684210d164ac749a614 | function [scores, maxlabel] = matcaffe_demo(im, use_gpu)
% scores = matcaffe_demo(im, use_gpu)
%
% Demo of the matlab wrapper using the ILSVRC network.
%
% input
% im color image as uint8 HxWx3
% use_gpu 1 to use the GPU, 0 to use the CPU
%
% output
% scores 1000-dimensional ILSVRC score vector
%
% You m... |
github | byangderek/CCF-master | matcaffe_demo_vgg_mean_pix.m | .m | CCF-master/caffe/matlab/caffe/matcaffe_demo_vgg_mean_pix.m | 3,069 | utf_8 | 04b831d0f205ef0932c4f3cfa930d6f9 | function scores = matcaffe_demo_vgg_mean_pix(im, use_gpu, model_def_file, model_file)
% scores = matcaffe_demo_vgg(im, use_gpu, model_def_file, model_file)
%
% Demo of the matlab wrapper based on the networks used for the "VGG" entry
% in the ILSVRC-2014 competition and described in the tech. report
% "Very Deep Convo... |
github | byangderek/CCF-master | imagesAlign.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | opticalFlow.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | seqWriterPlugin.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | kernelTracker.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | seqIo.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | seqReaderPlugin.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | pcaApply.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | forestTrain.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | fernsRegTrain.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | rbfDemo.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | pdist2.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | pca.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | kmeans2.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | acfModify.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | acfDetect.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | acfSweeps.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | bbGt.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | bbApply.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | imwrite2.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | convnFast.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | imMlGauss.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | montage2.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | jitterImage.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | movieToImages.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | toolboxUpdateHeader.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | toolboxGenDoc.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | toolboxHeader.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | mdot.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | m2html.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | doxysearch.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | doxywrite.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | doxyread.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | imwrite2split.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | playmovies.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | pca_apply_large.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | montages2.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | filter_gauss_1D.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | clfEcoc.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | getargs.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | normxcorrn_fg.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | makemovie.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | localsum_block.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | imrotate2.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | imSubsResize.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | imtranslate.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | randperm2.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | apply_homography.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | pca_apply.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | mode2.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | savefig.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | dirSynch.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | plotRoc.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | simpleCache.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | tpsInterpolate.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | checkNumArgs.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | fevalDistr.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | medfilt1m.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | FbMake.m | .m | CCF-master/toolbox-master/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 | byangderek/CCF-master | vbb.m | .m | CCF-master/data/code3.2.1/vbb.m | 26,999 | utf_8 | 49eea1941e375a3293a6f9aa9ee21726 | function varargout = vbb( action, varargin )
% Data structure for video bounding box (vbb) annotations.
%
% A video bounding box (vbb) annotation stores bounding boxes (bbs) for
% objects of interest. The primary difference from a static annotation is
% that each object can exist for multiple frames, ie, a vbb annotati... |
github | byangderek/CCF-master | vbbLabeler.m | .m | CCF-master/data/code3.2.1/vbbLabeler.m | 38,968 | utf_8 | 03ea75bed8df14e50d44027476666f52 | function vbbLabeler( objTypes, vidNm, annNm )
% Video bound box (vbb) Labeler.
%
% Used to annotated a video (seq file) with (tracked) bounding boxes. An
% online demo describing usage is available. The code below is fairly
% complex and poorly documented. Please do not email me with question about
% how it works (unle... |
github | byangderek/CCF-master | dbEval.m | .m | CCF-master/data/code3.2.1/dbEval.m | 19,098 | utf_8 | d69dfff2f73f4c8b87592a0adbe90591 | function dbEval
% Evaluate and plot all pedestrian detection results.
%
% Set parameters by altering this function directly.
%
% USAGE
% dbEval
%
% INPUTS
%
% OUTPUTS
%
% EXAMPLE
% dbEval
%
% See also bbGt, dbInfo
%
% Caltech Pedestrian Dataset Version 3.2.1
% Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com]
... |
github | haptics-nri/april-master | process_all.m | .m | april-master/process_all.m | 1,046 | utf_8 | 360b3c1527e039217b3da9bce69749e5 | % Runs apriltag_mex on all PNG files in the current directory:
%
% Inputs: none
% Outputs: names, ids, centers, p1s, p2s, p3s, p4s
% all cell arrays of the same length
% names is the filenames, and the rest are the outputs of apriltag_mex
%
% Copyright 2016 Alex Burka
% BSD license
function [names, ids, centers, p1... |
github | VCTLabs/RTIMULib2-master | mag_fit_display.m | .m | RTIMULib2-master/RTEllipsoidFit/mag_fit_display.m | 1,220 | utf_8 | 12d8d12ef7f37e898204f4486f64cb9f | %//
%// Copyright (c) 2014, richards-tech
%//
%// This file is part of RTEllipsoidFit
%//
%// RTEllipsoidFit is free software: you can redistribute it and/or modify
%// it under the terms of the GNU General Public License as published by
%// the Free Software Foundation, either version 3 of the License, or
%// (... |
github | openbci-archive/OpenBCI_MATLAB-master | vis_stream.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/vis_stream.m | 15,502 | utf_8 | 3b3dc74cb184e98fa9f7d63605d1c1cb | function vis_stream(varargin)
% Display an LSL stream.
%
% Keyboard shortcuts:
% [up arrow] : increase the y scale of the time series
% [down arrow] : decrease the y scale of the time series
% [right arrow]: increase the displayed time range
% [left arrow] : decrease the displayed time range
% [page... |
github | openbci-archive/OpenBCI_MATLAB-master | arg_guidialog.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/arg_guidialog.m | 10,844 | utf_8 | 9a3feeb49fd1fa36ac5971ebb38d1ab9 | function varargout = arg_guidialog(func,varargin)
% Create an input dialog that displays input fields for a Function and Parameters.
% Parameters = arg_guidialog(Function, Options...)
%
% The Parameters that are passed to the function can be used to override some of its defaults. The
% function must declare its argumen... |
github | openbci-archive/OpenBCI_MATLAB-master | arg_define.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/arg_define.m | 29,157 | utf_8 | 8bfb189a17d632d5ba1a28ce0a8a5b77 | function res = arg_define(vals,varargin)
% Declare function arguments with optional defaults and built-in GUI support.
% Struct = arg_define(Values, Specification...)
% Struct = arg_define(Format, Values, Specification...)
%
% This is essentially an improved replacement for the parameter declaration line of a function.... |
github | openbci-archive/OpenBCI_MATLAB-master | invoke_arg_internal.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/invoke_arg_internal.m | 4,456 | utf_8 | 4e6e4e76740e7b089761e52ac7a27362 | function spec = invoke_arg_internal(reptype,varargin) %#ok<INUSL>
% same type of invoke function as in arg_sub, arg_subswitch, etc. - but shared between
% arg, arg_norep, and arg_nogui
spec = hlp_microcache('arg',@invoke_arg,varargin{:});
% the function that does the actual work of building the argument specifier
func... |
github | openbci-archive/OpenBCI_MATLAB-master | arg_report.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/arg_report.m | 7,042 | utf_8 | c03dbc20ce7bc53c29c103ed739f3171 | function res = arg_report(type,func,args)
% Report information of a certain Type from the given Function.
% Result = arg_report(Type,Function,Arguments)
%
% Functions that declare their arguments via arg_define() make their parameter specification
% accessible to outside functions. This can be used to display auto-gene... |
github | openbci-archive/OpenBCI_MATLAB-master | arg_subswitch.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/arg_subswitch.m | 15,789 | utf_8 | 0fb82d2f4cd1ec04cb0af22f7624254d | function res = arg_subswitch(varargin)
% Specify a function argument that can be one of several alternative structs.
% Spec = arg_subswitch(Names,Defaults,Alternatives,Help,Options...)
%
% The correct struct is chosen according to a selection rule (the mapper). Accessible to the
% function as a struct, and visible in t... |
github | openbci-archive/OpenBCI_MATLAB-master | arg_sub.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/arg_sub.m | 11,602 | utf_8 | 12b6631b465bea74834a336794589f6f | function res = arg_sub(varargin)
% Specify an argument of a function which is a structure of sub-arguments.
% Spec = arg_sub(Names,Defaults,Source,Help,Options...)
%
% Delivered to the function as a struct, and visible in the GUI as a an expandable sub-list of
% arguments. A function may have an argument which itself c... |
github | openbci-archive/OpenBCI_MATLAB-master | arg_subtoggle.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/arg_subtoggle.m | 13,812 | utf_8 | a3ea0db8236e93fe542857ad6e5f8d78 | function res = arg_subtoggle(varargin)
% Specify an argument of a function which is a struct of sub-arguments that can be disabled.
% Spec = arg_subtoggle(Names,Default,Source,Help,Options...)
%
% Accessible to the function as a struct, and visible in the GUI as a an expandable sub-list of
% arguments (with a checkbox ... |
github | openbci-archive/OpenBCI_MATLAB-master | arg_tovals.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/arg_tovals.m | 2,504 | utf_8 | 8d66b5c70a10a427ffbcb5375e07fb32 | function res = arg_tovals(spec,direct)
% Convert a 'rich' argument report into a 'vals' report.
% Vals = arg_tovals(Rich)
%
% In:
% Rich : a 'rich' argument report, as obtained via arg_report('rich',some_function)
%
% Direct : whether to endow the result with an 'arg_direct' flag set to true, which indicates to
%... |
github | openbci-archive/OpenBCI_MATLAB-master | arg_specifier.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/arg_specifier.m | 2,714 | utf_8 | 45a0f0bbe159b1d73d533fcbbf4c2576 | function spec = arg_specifier(varargin)
% Internal: create a base specifier struct for an argument.
% Specifier = arg_specifier(Overrides...)
%
% In:
% Overrides... : name-value pairs of fields that should be overridden
%
% Out:
% A specifier that is recognized by arg_define.
%
% See also:
% arg_define
%
% ... |
github | openbci-archive/OpenBCI_MATLAB-master | strsetmatch.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/strsetmatch.m | 953 | utf_8 | 5bdf3f3944690f5678bc5362dc151341 | % Indicator of which elements of a universal set are in a particular set.
%
% Input arguments:
% strset:
% the particular set as a cell array of strings
% struniversal:
% the universal set as a cell array of strings, all elements in the
% particular set are expected to be in the universal set
%
% Outp... |
github | openbci-archive/OpenBCI_MATLAB-master | helptext.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/helptext.m | 1,654 | utf_8 | 56e780c229ded39bb7ecd36b181f35f8 | % Help text associated with a function, class, property or method.
% Spaces are removed as necessary.
%
% See also: helpdialog
% Copyright 2008-2010 Levente Hunyadi
function text = helptext(obj)
if ischar(obj)
text = gethelptext(obj);
else
text = gethelptext(class(obj));
end
text = texttrim(text)... |
github | openbci-archive/OpenBCI_MATLAB-master | javaclass.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/javaclass.m | 3,722 | utf_8 | 5956d10630cadd5df145b93c0ce2534a | % Return java.lang.Class instance for MatLab type.
%
% Input arguments:
% mtype:
% the MatLab name of the type for which to return the java.lang.Class
% instance
% ndims:
% the number of dimensions of the MatLab data type
%
% See also: class
% Copyright 2009-2010 Levente Hunyadi
function jclass = ... |
github | openbci-archive/OpenBCI_MATLAB-master | helpdialog.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/helpdialog.m | 3,509 | utf_8 | f86bd0bd87b39268e6b463ebe2a05362 | % Displays a dialog to give help information on an object.
%
% Examples:
% helpdialog char
% gives information of character arrays
% helpdialog plot
% gives help on the plot command
% helpdialog(obj)
% gives help on the MatLab object obj
%
% See also: helptext, msgbox
% Copyright 2008-2010 Levente... |
github | openbci-archive/OpenBCI_MATLAB-master | hlp_tostring.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/hlp_tostring.m | 6,536 | utf_8 | 7c374a9f8a1954f5289b4e446ea1a30d | function str = hlp_tostring(v)
% Get an human-readable string representation of a data structure.
% String = hlp_tostring(Data)
%
% The resulting string representations are usually executable, but there are corner cases (e.g.,
% certain anonymous function handles and large data sets), which are not supported. For
% gen... |
github | openbci-archive/OpenBCI_MATLAB-master | getdependentproperties.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/getdependentproperties.m | 938 | utf_8 | abccd5c7f4e0fc6ba3daebb8ffa115b6 | % Publicly accessible dependent properties of an object.
%
% See also: meta.property
% Copyright 2010 Levente Hunyadi
function dependent = getdependentproperties(obj)
dependent = {};
if isstruct(obj) % structures have no dependent properties
return;
end
try
clazz = metaclass(obj);
catch %#ok<C... |
github | openbci-archive/OpenBCI_MATLAB-master | strjoin.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/strjoin.m | 973 | utf_8 | fdea64058faf314cf6f537957fd66a12 | % Concatenates a cell array of strings.
%
% Input arguments:
% adjoiner:
% string separating each neighboring element
% strings:
% a cell array of strings to join
%
% See also: strsplit, cell2mat
% Copyright 2008-2009 Levente Hunyadi
function string = strjoin(adjoiner, strings)
validateattributes(a... |
github | openbci-archive/OpenBCI_MATLAB-master | supergui.m | .m | OpenBCI_MATLAB-master/Matlab-Python/labstreaminglayer/arg_system/private/supergui.m | 18,292 | utf_8 | 2ac5e278fd37b30b6ef2f14f5bba38e0 | % supergui() - a comprehensive gui automatic builder. This function help
% to create GUI very fast without bothering about the
% positions of the elements. After creating a geometry,
% elements just place themselves into the predefined
% locations. It is especially... |
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