sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
d2f5ac3aabfab41348099fd78fbb2af0996ffad2793fbec098873ca449a33366 | MATLAB | 1,355 | 35 | function [blk_rat_mean, blk_rat_sem, blk_mdl_mean, blk_mdl_sem] =...
ratAndMdlWTCurves(ratname, BestFit)
A = BestFit.(ratname).Test.ratTrial;
usethese = A.catch & A.optout & ~isnan(A.wait_time);
rew = convertreward(A.reward(usethese));
blk = A.block(usethese);
wt_rat = A.wait_time(usethese);
wt_mdl = Bes... |
1b87d85d71b307b1d86825e68c253dcfb15ce86c4ddd264a8b21901256ac2cec | MATLAB | 1,356 | 41 | %% CheckboxEditPair_Callback(source,eventdata,handleToBeDisable,trueValue)
%
% Input
% --------------
% handleToBeDisable : uicontrol to be disabled when the paired checkbox is
% chekced
% trueValue : the condition of when the uicontrol should be
% disabled
%
% Descriptio... |
a503259a235c45ff88b5189a6a85cfad7322e55f31262d9d4bfa419a8dc54b52 | MATLAB | 1,356 | 36 | %{
rf.Scan (manual) # scanimage scan info
-> rf.Session
scan_idx : smallint # number of TIFF stack file
---
-> rf.Site
file_num : smallint # number of HD5 file
depth=0 : int # manual depth measurement
laser_wavele... |
a8c935295b6eb0610ce7c240f9118cc2cd69151f7648f290d3ae30799881b879 | MATLAB | 1,356 | 47 | function renameVar(obj, oldName, newName, varargin)
%RENAMEVAR Rename a variable
% RENAMEVAR(OLDNAME, NEWNAME) changes the name of the variable
% OLDNAME into NEWNAME. NEWNAME should not be the name of an
% existing variable.
opts.quiet = false ;
opts = vl_argparse(opts, varargin) ;
% Find the variable to renam... |
c29dc27801fce8776bcc455f8dff161a017191d67b1f7c5a471d162754487067 | MATLAB | 1,356 | 40 | function test_suite = test_setBlocksConditions %#ok<*STOUT>
% (C) Copyright 2021 CPP visual motion localizer developers
try % assignment of 'localfunctions' is necessary in Matlab >= 2016
test_functions = localfunctions(); %#ok<*NASGU>
catch % no problem; early Matlab versions can use initTestSuite ... |
08fc332688eb769bffbc00a66e1f1d3e605088cf4c8db817d7a049fe34b961b1 | MATLAB | 1,357 | 38 |
function [cropMovie, corn] = postCropping(movie,corn)
[movie_pad]=padarray(movie,[1 1],0,'both');
if nargin<2
% needs to compute corn
% to get mask with 1 in the overlapping area
maskNAN = isnan(movie); % detect any nan value
% maskZERO=~movie; % detect any zero value
mask3d=maskNAN;%+maskZE... |
229765213299c90fdd0c4eb2ab21f22724ac9283fff8c58d200f3314405b3655 | MATLAB | 1,357 | 47 | function [lp,dlp] = priorGamma(k,t,x)
% Univariate Gamma hyperparameter prior distribution.
% Compute log-likelihood and its derivative or draw a random sample.
% The prior distribution is parameterized as:
%
% p(x) = exp(x/t)/gamma(k)*x^(k-1)/t^k
%
% where k(1x1) is the shape parameter, t(1x1) is the scale paramete... |
e19415bdffc3e5b3211b31038db67d2238e64170a596c99222544dbb4d7b6d7a | MATLAB | 1,357 | 44 | function pathName = tapas_uniqc_simplify_path(pathName)
% Simplifies path name string by replacing all relative paths in it, i.e. ..\, .\
%
% pathName = tapas_uniqc_simplify_path(pathName)
%
% IN
% pathName string with relative path symbols, e.g.
% 'C:\bla\recon\test\..\code\classes\..\..\test\.\'
%... |
1e2172b5935b4f6682807b0f6f175bc59d7ff3c63d06a311004d325974978d01 | MATLAB | 1,358 | 47 | function [stability] = compute_stability(featureSet)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% compute_stability computes stability from given matrix of feature sets
% using Pearson Correlation Coefficient.
%
% Arguments:
% featureSet: NxM matrix of feature sets, given each row i... |
988e0384d4b342c939487ba5175dfead03816d38d75ea36eb7103b688863c95d | MATLAB | 1,360 | 50 | function varargout = get(tpl,action,varargin)
%TEMPLATE/GET Access data stored in a Template object
% TPL = GET(TPL,ACTION,VARARGIN)
% ACTION 'var'
% ACTION 'undefined'
% Copyright (C) 2003 Guillaume Flandin <Guillaume@artefact.tk>
% $Revision: 1.0 $Date: 2003/05/05 22:19:51 $
narginchk(2,3);
switch lower... |
ed82a624c9f518361c0008dd633e614a6378a3d73f7f8a5ba5cd408098df7d13 | MATLAB | 1,360 | 33 | %% TestingScripts
%% Load Unit Class Data
ClassifyUnits;
clearvars -except Unit
%% Load Two Data
targetTank = '#21JAN2-210406-190737_IL';
result_distance = load(fullfile('D:\Data\Lobster\FineDistanceResult_syncFixed_May', ...
strcat(targetTank, 'result_distance.mat')));
result_event = load('D:\Data\Lobster\BNB_Re... |
04d987ef06695e7669c9eae73b37f0127c2ab819111c276bc8c7bdbd8b6eac39 | MATLAB | 1,361 | 47 | function outputImage = plus(this, otherImage)
% Adds data of other image to this one and writes output in new image
%
% NOTE: If voxel dimensions of 2nd image do not match - or a scalar is
% given as 2nd argument - data in the 2nd argument is automatically
% replicated to match this image geometry.
%
%
% Y = MrImage(... |
d3cca6a7d8b9ba76babc397d453439ee94704c271574ef690fc7654ada2f424d | MATLAB | 1,361 | 56 | function DB = meta_get_contrast_numbers(DB,varargin)
% function DB = meta_get_contrast_numbers(DB,testfields)
%
% e.g., for Pain meta-analysis
% DB = meta_get_contrast_numbers(DB,'Study','Subjects','Kind_of_Pain','Limb_v_Head_or_Chest','Right_vs_Left');
% concatenate fields of interest
% ------------------------------... |
0562e3bb594b6af19e18c4909a12b634a7eb914dca9919332b7a014a72c86e73 | MATLAB | 1,362 | 31 | %T=readtable('../Test_Data/csv/Sb_HICEAS1706_20170913_AD259_S123_sel22_220035.csv')
% GET ARTwarp ROOT PATH FOR REFERENCE WHILE RUNNING IN CONTINUOUS
% INTEGRATION
tstDir = fileparts(mfilename("fullpath"));
ARTwarpRoot = fullfile(tstDir, '..');
% Add the ARTwarp root path to the MATLAB path so we can run ARTwarp's
% ... |
b42e8623dd2e5c84d62f93ec2330595c9f8f9a28212081e66cd95dd1214ef57e | MATLAB | 1,362 | 52 | function [output] = volumefillholes(input, along)
% VOLUMEFILLHOLES is a helper function for segmentations
%
% See also VOLUMETHRESHOLD, VOLUMESMOOTH
% check for any version of SPM
%if ~ft_hastoolbox('spm')
% % add SPM8 to the path
% ft_hastoolbox('spm8', 1);
%end
if nargin<2
inflate = false(size(input)+2); ... |
15333719ff1687c34da14ffcad7d62a2e0d745f053236e7f9d330877c776f743 | MATLAB | 1,363 | 45 | function match = ART_Calculate_Match(input, weightVector)
% ART_Calculate_Match Calculates the match value of an input to a category.
% MATCH = ART_Calculate_Match(INPUT, WEIGHTVECTOR)
% This function returns a value which represents the amount of match
% between the given input and the given category.
%
%... |
18bb5dd646118cb34b8d8f8268b54370634d57308046ac8011718b060ef33343 | MATLAB | 1,363 | 68 | function ft_cubic_mask(input, path_output, name_output, c, r)
% Cubic mask
%
% ft_cubic_mask(input, path_output, name_output, c, r)
%
% Inputs:
% input - file name of time series.
% path_output - path where output is written.
% name_output - basename of output file.
% c - array of center coordin... |
6b79dbbbe1ebec2f5f77e4f397f6fd182a7f5f7a5e836e156530159f433127b3 | MATLAB | 1,363 | 63 | function [Fup,ix_up,Fdel,ix_del,ix_bad,dmax] = ...
fincrease_update_act(A,S,Q,SY,ix_act)
%
% --- dF for Update component
%
global a_min;
%
% --- Residual correlation for active index 'ix_act'
%
a = A(ix_act);
s = S(ix_act);
qq = SY * sum(Q(:,ix_act).^2,1);
b = 1 - s./a; % scale factor ... |
782034e5c5bf273f948e34a6ccb0e9e6870a4703633511aaddcd6982e73ab2b0 | MATLAB | 1,363 | 45 | function varargout = PlotXY(X,varargin)
%PlotXY - Plot two columns of a matrix against each other.
%
% Plot the second column of a matrix as a function of the first column.
% Optionally, alternative pairs of columns can be plotted against each other.
%
% USAGE
%
% p = PlotXY(X,columns,<options>)
%
% X ... |
1683528e8df27575876e827d3b7ad55f330a47d4e2f47fe078c77a4fd5d8b15c | MATLAB | 1,364 | 53 | function [ output_args ] = seed_devrandom( verbose )
%SEED_DEVRANDOM( verbose ) Seeds the internal random number generator from
%the /dev/urandom device (only on Unix systems).
%
% INPUT:
% verbose [boolean]
%
% OUPUT:
% output_args [scalar]: 4 byte random seed
%
%
% === Jan Moelter, The University of Queensl... |
30aa48d43bf31b29be5d0e430990b2a3d4d7c3244ea31319d4380eea6c2abc4e | MATLAB | 1,364 | 46 | function fear_makeUnitInfo(basename)
load([basename '.basicMetaData.mat'])
fprintf('%s start %s with data of %s\n',datestr(now),mfilename,basicMetaData.SessionName)
load([basicMetaData.Basename '.okUnit.spikes.mat'])
load([basicMetaData.Basename '.ngUnit.spikes.mat'])
tBinSize=60; %in sec
tBin=basicMetaData.detect... |
a1ebe696be859610470ef75d9c46b8d5f64130c2c92a61c1084fc6cf8334fad1 | MATLAB | 1,364 | 26 | function [ismoving,v] = movingmask3(y, framerate, span, minspeed)
% Creates a mask [ismoving] for a given trace that is 1 if the calculated speed [v] exceeds minspeed.
% y: a vector of recorded positions indexed by frame numbers. Note that 1 unit of y equals 2 meters of real-world distance (as in the ball-VR system)
... |
5b18040cddd4cfe8d8efe26020d22d209ce4acbb0e80ff30238472b1434ef9a2 | MATLAB | 1,365 | 64 | function[Xopt, Y] = testsimplexmatrices()
clear all;
rng(103)
n = 2;
k = 3;
Y = zeros(n,n,k);
for kk = 1:k
Y(:,:,kk) = randn(n,n) + 1i*randn(n,n);
Y(:,:,kk) = 0.5*(Y(:,:,kk) + (Y(:,:,kk))');
%Y(:,:,kk) = sparse(diag(diag(Y(:,:,kk)'*Y(:,:,kk))));
%Y(:,:,kk) = sp... |
64e0016610cfcbbfa5e2216c4dd0d3571e99cfd2b49e72c503ea95ee2bad286a | MATLAB | 1,365 | 48 | function out = isText(value,opt)
%isText - Test if value is character vector or string
%
% USAGE
%
% test = isText(value)
%
% value item to test
% <options> optional list of property-value pairs (see table below)
%
% =========================================================================
%... |
7afb71f389ddec6179fae9a1a1f9d52f5720b234d4a243f92b919f5a7f3a1dea | MATLAB | 1,365 | 43 | function save_avw(img,fname,vtype,vsize)
% SAVE_AVW(img,fname,vtype,vsize)
%
% Create and save an analyse header (.hdr) and image (.img) file
% for either a 2D or 3D or 4D array (automatically determined).
% fname is the filename (must be inside single quotes)
%
% vtype is 1 character: 'b'=unsigned byte, 's'=short... |
0ea80c0ca7255d28c6079604373dab9f3f14fb393ed25685905aa1f46c3b05ec | MATLAB | 1,366 | 47 | % support function for eegobj
function varargout = subsref(this,s)
if strcmpi(s(1).type, '()') && length(this) > 1
%if length(s(1).subs{1})
% error('Unsuported object feature - a.field or a([x y]).field is not supported for object arrays');
%end
% if length(s) == 1
% b = this(s(1).subs... |
a72a1396482dacef8c8034046fba8ba6c0f8fd8256bace3fe7fc894c0601d1a0 | MATLAB | 1,366 | 39 | function outputImage = snr(this, varargin)
% Computes snr along specified dimension, uses Matlab mean/std function
%
% Y = MrImage()
% Y.snr(applicationDimension)
%
% This is a method of class MrImage.
%
% IN
% applicationDimension image dimension along which operation is
% performed ... |
f7774e08eb71ce18b4616ba7cef78ddcf343934f179bf3d4fad3026ab96e6140 | MATLAB | 1,366 | 69 | function [err,XYZmm,map] = THD_dicomm_to_3dmm (Info, XYZdic)
%
% [err,XYZmm,map] = THD_dicomm_to_3dmm (Info, [XYZdic])
%
%Purpose:
%
% Change from image-oriented mm coordinates to AFNI dicom (RAI) coordinates
%
%Input Parameters:
% Info: Structure of header file, see BrikInfo
% XYZdic: Nx3 matrix of dicom coord... |
8d25e79668e42288b4965a9de53837376c0571d927ba327bee2bc6ca9dd6f58a | MATLAB | 1,367 | 32 | function params = configureMethodParameters(params, timepoint)
% Sets up the specific parameters for signal processing and artifact
% detection methods. Includes thresholds for motion detection, channel
% pruning, and signal quality assessment based on established research
% parameters.
% Motion detection wind... |
c6d70e46ffbe39bb2bafd8b5bad763a06f4a77ecffbc95362ad9f73f775b227c | MATLAB | 1,367 | 35 | % Read the data from the CSV file
data = readtable('../../Results/single_ct_acc.csv');
% Extract the 'best_acc_2' column
acc_data = data.best_acc_2;
% Define the value to test against
mu0 = 0.5;
% Perform a one-sample t-test (right-tailed)
% H0: mean(acc_data) = mu0
% H1: mean(acc_data) > mu0
[h, p, ci, stats] = tte... |
035bedf9bc4ab618c3575205eb033192ee8786018f58a614a912cfc4bd06a21b | MATLAB | 1,368 | 47 | classdef nnpdist < nntest
properties (TestParameter)
oneToOne = {false, true}
noRoot = {false, true}
p = {.5 1 2 3}
aggregate = {false, true}
end
methods (Test)
function basic(test,oneToOne, noRoot, p, aggregate)
if aggregate
% make it smaller to avoid numerical derivative issues... |
25a467f8cfdb78566b5905d64fabe8cd7271dd1a812836a094a2b7fda48b16bc | MATLAB | 1,368 | 49 | function [] = plotAnalysis01B(saveFigures)
% Produces plots to visualize the results of analysis01B.
% save figures by default
if nargin==0
saveFigures = true;
end
% get file paths
paths = addPaths();
analysisName = 'analysis01B';
% get names of all files in analysis directory
files = dir(fullfile(paths.outputs,... |
262a6559ddf55e343032602735c4747d6b2e05ea60b8f740e16ee7e3d19dad67 | MATLAB | 1,368 | 43 | function hist = read_ctf_hist(filename)
% READ_CTF_HIST
% Copyright (C) 2010, Arjen Stolk
[p, f, x] = fileparts(filename);
if strcmp(x, '.ds')
% the filename should point to the hist file, not the ds
filename = fullfile(p, [f x], [f '.hist']);
end
fileline = 0;
fid = fopen(filename,'r');
% the hist file ... |
75092daa7e00e02114f230cb6c5435c46989bc6ae1973af2943d39c08fda4040 | MATLAB | 1,368 | 47 | classdef nnpdist < nntest
properties (TestParameter)
oneToOne = {false, true}
noRoot = {false, true}
p = {.5 1 2 3}
aggregate = {false, true}
end
methods (Test)
function basic(test,oneToOne, noRoot, p, aggregate)
if aggregate
% make it smaller to avoid numerical derivative issues... |
5c9281e9099217b3581c98762d27ee2a4e2f3afbc1530c95cf851aedf13f93b7 | MATLAB | 1,369 | 31 | function [pvec, pstruct] = tapas_hgf_binary_pu_tbt_transp(r, ptrans)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2015 Rebecca Lawson, Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the term... |
62cba2fe11717f5423cfeb96e797e2b81691887425a7d2b7203c35a45c9eb0da | MATLAB | 1,370 | 40 | function varargout = ft_error(varargin)
% FT_ERROR prints an error message on screen, just like the standard ERROR function.
%
% Use as
% ft_error(...)
% with arguments similar to fprintf, or
% ft_error(msgId, ...)
% with arguments similar to error.
%
% See also FT_ERROR, FT_WARNING, FT_NOTICE, FT_INFO, FT_DEBUG, ... |
e1cecc06b2a5097251e655206532c483848b97fb0169592334c31334751f0a10 | MATLAB | 1,370 | 49 | function [node2area,face2area]=surfing_surfacearea(c,f,n2f)
% Computes node and face areas of a surface
%
% [NAREA,FAREA]=SURFING_SURFACEAREA(C,F[N2F])
% INPUTS:
% C Px3 (or 3xP) coordinates for P nodes
% F Qx3 (or 3xQ) node indices for Q faces
% N2F Optional node to face mapping (from SURFI... |
6079ef803e4394fdc6310e49a8505d59dbe424dd6b45875596beb82960b99c24 | MATLAB | 1,371 | 41 | function plot_raster(ax,tt,raster,ens_labs,ens_cols)
% plots raster and colors each bin according to the identity given on
% ens_labs vector. ens cols is a nens x 3 matrix with colors for each
% ensemble. If ens_labs and ens_cols are empty, plots only the raster.
% ax is the axes to plot
% Reference paper: Herzog et a... |
a1021dba3cd4a8fc1f2671eb0054feca06150e83fcbca917f183b2924f779b02 | MATLAB | 1,371 | 40 | %{
monet.DriftResponse (computed) # calcium responses to drift trials
-> monet.DriftResponseSet
-> monet.DriftTrial
-> pre.Trace
-----
response: float # averaged response
%}
classdef DriftResponse < dj.Relvar
methods
function makeTuples(self, key)
disp 'preparing traces...'
frameTimes = f... |
1032f9cb277b5ba52facdd257c9ae0dbfb241b2681ccf512980050bbc5227521 | MATLAB | 1,372 | 37 | function db_insert_blob(tablename, fieldname, s)
% DB_INSERT_BLOB converts a Matlab variable of arbitrary type into
% a binary stream and inserts this stream into a binary blob in the
% database table.
%
% Use as
% db_insert_blob(tablename, fieldname, s)
%
% See also DB_OPEN, DB_SELECT, DB_SELECT_BLOB, DB_INSERT, DB... |
482f362e5fd35f859b076efff87285563370b51e261f702569599ea8b8a00f7f | MATLAB | 1,372 | 42 | function outputImage = shuffle(this, iDimArray, shuffledSamplingPointsIndexArray)
% Shuffles sampling points of specified dimensions, and dimInfo-description
% (?)
%
% Y = MrDataNd()
% Y.shuffle(inputs)
%
% This is a method of class MrDataNd.
%
% IN
%
% OUT
%
% EXAMPLE
% shuffle({'y','z'}, {[nSamples:-1:1], [1:2:... |
af61d0d39bdf7f083cf5d6f63dc05864606fbe3835956b9c128d94c16cd89702 | MATLAB | 1,372 | 53 | %
% 'overseer' function for performing & logging subtraction without
% any kind of windowing.
%
%
% [data,cfg]=m_do_everything(data,cfg)
function [data,cfg]=m_do_everything(data,cfg)
% % probably can be removed..
% cfg.cwregression.srate = 1000; %srate=1000;
% cfg.cwregression.windowduration = 1.3; ... |
d742db08054a782f5d421adc68ea0558036182954a10e417c86b1cb1263fd81d | MATLAB | 1,372 | 51 | function [y,n_dim,vecs,vals,mu] = pca(x,frac,mask)
%
%function [y,n_dim,vecs,vals,mu] = pca(x,frac,mask)
%
% principal components analysis
% transforms input data x using PCA, reduces dimensionality
% to capture fraction of magnitude of eigenvalues
%
% inputs:
% x - input data M dimensions by N samples
% frac - [0... |
59aa0a2d0e7bb81b502c257bd419c0aea49f0d39dfafbde1b90a2a96565fcff1 | MATLAB | 1,373 | 47 | function UpdateCluster(ClusteringData, clustAssign, clusterName, rejected)
%% This function saves the files with new cluster names
h = waitbar(0,'Initializing');
[files, ~, file_idx] = unique(ClusteringData.Filename,'stable');
% Merge "Noise" and "noise"
clusterName = mergecats(clusterName, {'Noise', 'noise'});
% A... |
5edac581443905b866f15114c4620adebd4ab80b33d1320f83931321bf3a96b6 | MATLAB | 1,373 | 52 | function [b b0] = circ_skewness(alpha, w, dim)
% [b b0] = circ_skewness(alpha,w,dim)
% Calculates a measure of angular skewness.
%
% Input:
% alpha sample of angles
% [w weightings in case of binned angle data]
% [dim statistic computed along this dimension, 1]
%
% If dim argument i... |
12f43e921fbec1f5c7ee9524348e41ae7025f3774b9a01c9f7c1c2050a79e11f | MATLAB | 1,374 | 41 | function outputImage = sum(this, applicationDimension)
% Computes sum along specified dimension, uses Matlab sum function
%
%
% Y = MrImage()
% Y.sum(applicationDimension)
%
% This is a method of class MrImage.
%
% IN
% applicationDimension image dimension along which operation is
% p... |
51e220200fa7b60252309108317832787711be2a0de75e3dbf04ed48ad26d3ee | MATLAB | 1,374 | 30 | =============== RAW DATA (rawdatamovies)
√ LOOK AT RAW DATA LIKE movie itk-snap of 1 random run. sess10, run06
ls -d *NSD134*nsd10/dicom/*MR*bold*
cp -r DATECENSORED-NSD134-nsd10/dicom/MR-SE019-cmrr_mbep2d_bold_84slices_1pt8mm_1600TR_MB3_R2 ~/Dropbox/KKTEMP/subj01
cp -r DATECENSORED-NSD139-nsd10/dicom/MR-SE019-cmrr_... |
922163d50343ba1af0d5258e1284b11a56092e6340619490b8fc8027ab126d75 | MATLAB | 1,374 | 42 | function eegTopoplot(H_topo, mapVals, info)
% plots head topology of EEG values
% (c) Jiri, Aug16
% figure
if ~isfield(info.plot, 'figHandle')
f = figure('visible','on', 'Position',[1, 1, 1920, 1200]);
set(f, 'PaperUnits','inches', 'PaperPosition',[0 0 19 12]);
else
f = info.plot.figHandle;
end
% axes
ax... |
daddb99b8645236c6050496612cf83e891ac316d38587e04366f99418bea54e9 | MATLAB | 1,374 | 61 | function [ace_out,mu,siginv] = ace_detector(hsi_img,tgt_sig,mask,mu,siginv)
%
%function [ace_out,mu,siginv] = ace_detector(hsi_img,tgt_sig,mask,,mu,siginv)
%
% Adaptive Cosine/Coherence Estimator
%
% inputs:
% hsi_image - n_row x n_col x n_band hyperspectral image
% tgt_sig - target signature (n_band x 1 - column vec... |
e8c5ff99431168332e8750443aa7bb75a075298f5ade836ce1a78ac31f67292a | MATLAB | 1,374 | 55 | function h = imshow_deformation(d, vs, z, slice, nrm)
dim = size(d);
if numel(dim) > 4
dim = [dim(1:3) dim(end)];
d = reshape(d, dim);
end
if nargin < 5
nrm = nan;
if nargin < 4
slice = 3;
end
end
dim = [size(d) 1 1 1];
if numel(size(d)... |
fa16b637c0f5cbe754f7b7341968a2e2e917b100f99231361560e503ba19e4fe | MATLAB | 1,374 | 37 | function [fpr, tpr] = fpr_tpr(data_real, data_est)
% Calculate the FPR and TPR values.
% INPUT:
% data_real: <logical> D-by-T matrix with the real data, where D is the number of data to
% compare in a trial and T is the number of trials.
% data_est: <logical> D-by-T matrix with the estimated data, where D is t... |
1ecc6fa68daba8b2bcc88fbe606e1288f6f9c8af54aa932b6a9aa651bfb74893 | MATLAB | 1,375 | 63 | function fig_save(varargin)
% saves figure
% varargin{1} = figure handle
% varargin{2} = figure name
% varargin{3} = output directory
% further input arguments in varargin are tuples: attribute,value
% usage:
% fig_save(f, 'figname', outDir, 'format',{'png','fig'}, 'res',600);
% (c) Jiri, Mar20
assert(size(varargin... |
31fa683bd0f577510a5f422b17be0666e0fc9e835f49ddc93a10119228679e65 | MATLAB | 1,375 | 43 | %{
tuning.MonetRFMap (computed) # receptive fields from the monet stimulus
-> tuning.MonetRF
-> preprocess.SpikesRateTrace
-----
map : longblob
%}
classdef MonetRFMap < dj.Relvar
methods
function save(self)
path = '/Volumes/scratch01/RF-party';
for key = self.fetch'
... |
7ded9603afd64ac5a8aac7286de72b5d1fbd6941ee177250633e87d5f0ea2121 | MATLAB | 1,375 | 44 | function [Cost, Path] = mfunc_DisconnectivityGraph(E, LocalMinIndex, AdjacentList)
try
% Set adjacecy matrix
[sy, sx] = size(AdjacentList);
AdjacencyMatrix = zeros(sy, 'logical');
tmp1 = repmat(1:sy, sx, 1);
tmp2 = AdjacentList';
AdjacencyMatrix(sub2ind(size(AdjacencyMatrix), tmp1(:), tmp2(:))) = true;
Adjace... |
b293660bc9a31ad40d72609037fde3143d57b49664a092854eb5f83f8bb8e13f | MATLAB | 1,375 | 23 | function [mean_zscore,diff_zscore] = get_zscore_sta_mean(raw_trace, this_event_frames, this_pre_frames, this_post_frames,baseline_frames,avg_frames,varargin)
% the mean difference in z-score during the first three seconds following
% each event onset (avg_frames)
% and 5 to 2 seconds before the event onset from ra... |
fedab57cd279d3e736277b8ab2bf26d29e9ecd679fcccaa9e4f55f25f8f3746c | MATLAB | 1,375 | 62 | function [xyzall,codesall,orderall] = average_nearby_xyz(XYZ,thresh,codes)
% [xyzall,codesall,orderall] = average_nearby_xyz(XYZ,thresh,codes)
%
% for plotting peak coordinates on the brain, for example, eliminating
% redundant nearby coordinates from the same study
%
% Fixed bug for SINGLE coord with unique code, Jan ... |
03e8292b5d5f01740b615a18dae61dce1c3aebc26b62c0e54c06d469235c34c4 | MATLAB | 1,376 | 37 | function E = dynamicMiniEnergy(A,B,delta_t,x0,xf)
% Calculate the minimum dynamic control energy under unrestricted control path
% Wm = \int_{0}^{T} e^{A_m t}BB^Te^{A_m^T t}dt
% W = diag(W1, W2, ..., WM)
% S = (\prod_{i=M}^{2}e^{A_i\Dleta t},...,
% \prod_{i=M}^{t+1}e^{A_i\Dleta t},...I_N)
% W_{eff} = SW... |
67c7843f01744a6c60973b123adbfd1708b19dab18b3f89a63752ad8c2763dc2 | MATLAB | 1,376 | 53 | function betas =...
DA_rewardHistoryRegression(pdata, bdata, nback, usethese,...
auc1, auc2)
% DA_rewardHistoryRegression - Regresses dopamine response against previous
% rewards
% INPUTS:
% pdata - photometry data
% bdata - corresponding behavioral data
% nback - number of trials back to include
% uset... |
8ebb537e1b736f14edbf18f172baa91329791f9fef439661e1297a89cfaa9a1f | MATLAB | 1,376 | 45 | function validate_connectivity(Wrr, Wrf, params)
% VALIDATE_CONNECTIVITY - Check connectivity matrix validity
%
% H1 Line: Validate connectivity matrices for consistency
%
% Syntax:
% validate_connectivity(Wrr, Wrf, params)
%
% Description:
% Checks that connectivity matrices have correct dimensions and
% propert... |
c8ab21997bf93dd056ae518494d5d7b24868cef6c891b18d2d20f987695f2b40 | MATLAB | 1,376 | 55 | function [ output_args ] = PROMAX_CS_ASSEMBLY_DETECTION( RASTER_file )
%PROMAX_CS_ASSEMBLY_DETECTION( RASTER_file )
%
%
% === Jan Moelter, The University of Queensland, 2018 ===================
%
narginchk(1,1);
fprintf( 1 , [ '\n' ] );
timerVal = tic;
%% > PRINT FUNCTION-CALL
if( isdeployed )
printConsoleSec... |
d722435b9ff2fe672afb640b6aa082fb8dc72e308fe7ee70eb5011ffcdfba27a | MATLAB | 1,376 | 42 | %{
# master table that gathers data about the scans of different types, prepares for trace extraction
-> experiment.Scan
---
%}
classdef Prepare < dj.Imported
properties
keySource = experiment.Scan - experiment.ScanIgnored & 'aim="2pScan"'
end
methods(Access=protected)
f... |
1f8e1ed55af9f034f8af8812436983793b0e077f6af765806af37872b7761940 | MATLAB | 1,377 | 55 | %Creado por LC.
%Grafica el histograma de la actividad global y pone encima de cada pico el
%numero del estado al que pertenece.
%
% plot detected states
% Modifications by Shuting Han
function [Hist_Edos] = HistEdos(Spikes,Pks_Frame,sec_Pk_Frame,pks)
Hist_Edos = sum(Spikes,1);
numT = size(Spikes,2);
figure(4); clf... |
8cd55b6987bb313c31f85b3a234266c4b9590e6c9a13ed8b0ca4f18383f3c8df | MATLAB | 1,377 | 47 | function img = read_avw_img(filename);
% [img] = READ_AVW_IMG(filename)
%
% Read in an Analyze (or nifti .img) file into either a 3D or 4D
% array (depending on the header information)
% Ouput coordinates for all dimensions start at 1 rather than 0
% Note: automatically detects char, short, long or double f... |
e5adfbf8ef006ad13ffa84847efbaf92c9c8311e1147c6bf79240fd74b0940f0 | MATLAB | 1,377 | 31 | % Cadata=Ca_signal;
% index=event time;
sampling_rate = 100;
time_window1= -2*sampling_rate;
time_window2= 20*sampling_rate;
ii=length(index);
for i = 1:ii;
i
trial_mean(i) = mean(Cadata(index(i)+time_window1:index(i)+time_window2, 1));
trial_std(i) = std(Cadata(i... |
b93b76b493dc3619d483c002a3ae5af51ba3a724d7c038532ce2ec0d09df30db | MATLAB | 1,379 | 58 | function [outDat] = nmri_path_absolute(inDat)
%will take care of havin absolute paths from some relevant fields
%f=fieldnames(inDat);
% only check specific fields
f = cell(28, 1);
f{1,1} = 'raw_dataset';
f{2,1} = 'analysis_dir';
f{3,1} = 'dataset_mapping';
f{4,1} = 'layout';
f{5,1} = 'montages';
f{6,1} = 'elec_file';
... |
01b75c7f00030fb72195056840f74e356bffcaef44c3cb0bebc2544451b794f2 | MATLAB | 1,380 | 51 | function [k k0] = circ_kurtosis(alpha, w, dim)
% [k k0] = circ_kurtosis(alpha,w,dim)
% Calculates a measure of angular kurtosis.
%
% Input:
% alpha sample of angles
% [w weightings in case of binned angle data]
% [dim statistic computed along this dimension, 1]
%
% If dim argument i... |
3b5f9a6ac2dc17ff9ac71df1ba6bc647b6d655e213181f06815b0830d99e9856 | MATLAB | 1,380 | 49 | function this = MrDimInfo_index2sample(this)
% Unit test for MrDimInfo index2sample and sample2index
%
% Y = MrUnitTest()
% run(Y, 'MrDimInfo_index2sample')
%
% This is a method of class MrUnitTest.
%
% IN
%
% OUT
%
% EXAMPLE
% MrDimInfo_index2sample
%
% See also MrUnitTest
% Author: Saskia Bollmann
% Create... |
446f0e985a84da00e1f1059052f85d38c65281eb6ebbdef5dee09fa8909da36e | MATLAB | 1,380 | 49 | %% upsampled = fft_upsample_complex(img, newSize)
%
% Input
% --------------
% img : 2D or 3D image
% newSize : target size
%
% Output
% --------------
% upsampled : upsampled image
%
% Description: Upsample 2D or 3D data using k-space zeo-filling
%
% Kwok-shing Chan @ MGH
% kchan2@mgh.harvard.e... |
64f676f91b2f6f7ca3e8441aa925faaa204042a6a5c03703f34884eb93c39580 | MATLAB | 1,380 | 60 | function [outputArg1,outputArg2] = PlotSubjectSignedBias_All(sn, TitleStr, lp_Color, hp_Color, bb_Color)
if ~exist('TitleStr','var')
% title parameter does not exist, so default it to something
TitleStr = ' ';
end
% --- RGB vector for grey
grey = 0.75*[1 1 1];
% --- means & standard deviation per azimut... |
3a35f00603fb06e0b0f9a6061066c407ab6c6eb90440d790b2592f20a43f0b36 | MATLAB | 1,381 | 58 | function [f,file] = stripfile(x,flag,sep)
% function [f,file] = stripfile(x,flag,sep)
%
% <x> is a string referring to a file (it is okay if the file
% does not actually exist). if <x> ends in /, we automatically
% act as if that / does not exist.
% <flag> (optional) is whether to swap the output arguments. defa... |
b9eb2046f4ab5dac6fad0c4ce1d3f1b65054b13d8738cf7e05f268ccb3ac7708 | MATLAB | 1,381 | 51 | function D=sqrtsim2dis(S)
%function D=sqrtsim2dis(S);
%
%PURPOSE
%
%To transform elements of a similarity matrix S into
%dissimilarities D by D=sqrt(1-S)
%
%INPUT
%
%S (matrix) MxM similarity matrix whose elements must be in [-1,1],
% for example, absolute values of linear correlation coefficients.
%
%OUTPUT
%
% D ... |
f810bbe3b89bd947a515f8eaf7f27d11bc94971e79a0b7681dec387c523cf798 | MATLAB | 1,381 | 41 | function pfi = permutation_feature_importance(WholeTestResult, PFITestResult, options)
% Larger the more important
arguments
WholeTestResult;
PFITestResult;
options.method {mustBeMember(options.method, {'difference', 'ratio', 'relative'})} = 'difference';
end
numDatapoint = size(PFITestResult, 1);
numUnit... |
a7525367d90a56c85c1e19912b081658677c40834fe43ca6ac4eb171afd46359 | MATLAB | 1,382 | 34 | function D = build_design_table(edges, nodes, level, cfg) %#ok<INUSD>
% BUILD_DESIGN_TABLE Table of predictors for a given level
switch lower(level)
case 'global', D = local_global(edges, cfg);
case 'rsn_pairs', D = local_rsn_pairs(edges, cfg);
case 'nodewise', D = local_nodewise(edges, cfg);
other... |
ded864e7abdb302a8328f54c8345af269aa93ac61dd94d32ef89f5fd39e2f212 | MATLAB | 1,382 | 35 | function [ output_args ] = refreshAssemblyPatterns( input_args )
%REFRESHASSEMBLYPATTERNS( input_args )
%
% INPUT:
% input_args [struct]: findAssemblyPattern output
%
%
% === Jan Moelter, The University of Queensland, 2018 ===================
%
output_args = input_args;
%% > RE-ANALYSE COMMUNITY STRUCTURE ... |
c1349ff19dd19d915f4951355903d089ff966dd3961ee8fcec574e7c381e0817 | MATLAB | 1,383 | 48 | function [numc, max_clsize] = density2clusters(dm,th,cls)
%
% dm : density mask
% th : height threshold, or vector of thresholds
% cls : vector of cluster sizes to test for
%
% numc : matrix of number of clusters
% rows index density thresholds
% columns index cluster size thresholds
for i = ... |
d74793dcc9ea9b498d5b154f37d112383f1f800b33f548c203035271544a6c67 | MATLAB | 1,383 | 39 | function fileNameTemp = write_temporary_nifti_for_spm(this)
% saves the object to a nifti file in a unique temporary location, e.g.,
% for display in SPM
%
% Y = MrDataNd()
% fileNameTemp = Y.write_temporary_nifti_for_spm()
%
% This is a method of class MrDataNd.
%
% IN
%
% OUT
% fileNameTemp unique, temporary... |
ea66e2198b5726b810f25739d80e5aff661db61ad9339e4d7d6ab1de56d36d3c | MATLAB | 1,383 | 23 | %-----------------------------------------------------------------------
% Job saved on 18-Nov-2014 09:28:14 by cfg_util (rev $Rev: 6134 $)
% spm SPM - SPM12 (6225)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
matlabbatch{1}.spm.stats.fmri_spec.dir = '<UNDEFIN... |
7f547bce0d67bcca2028e08b3046097ac20c5edf456e87f92df6c710d18b137b | MATLAB | 1,384 | 30 | % Authors: Eve LoCastro (locastre@mskcc.org), Dr. Ramesh Paudyal (paudyalr@mskcc.org), Dr. Amita Shukla-Dave (davea@mskcc.org)
% Institution: Memorial Sloan Kettering Cancer Center
% Address: 321 E 61st St, New York, NY 10022
% This is an example usage script for MSK Medical Physics Dave Lab QAMPER IVIM
% Please ... |
4073cc2ac89cbfe0bdddedf5a28fad7a4fb1951db41ab647e52c7ff8219ad131 | MATLAB | 1,385 | 42 | classdef StandardScaler < baseScaler
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% StandardScaler standardizes features by removing the mean and scaling
% to variance of 1 (i.e., z-transformation).
%
% Parameters:
% data: Input data to be scaled.
%
% At... |
24b4bfdbe55dd1ee958ae701a5a258458c77cc59d1d3a2ebb323029b967810cc | MATLAB | 1,386 | 78 | function [err,Sc] = tross_Encode_String (S)
%
% [err,Se] = tross_Encode_String (S)
%
%Purpose:
% encodes a string a la Tom Ross for use in AFNI's HEADER
%
%
%Input Parameters:
% S
%
%
%Output Parameters:
% err : 0 No Problem
% : 1 Mucho Problems
% Se : the encoded version of S
%
%
%Key Terms:
%
%More In... |
37a5236c804b591f4a95da4afb9967eae9e141bcccda488a551dc1c8cb68392d | MATLAB | 1,386 | 42 | function this = set_from_dim_info(this, dimInfo)
% Sets resolution/offcenter from dimInfo (via 1st sampling point), rotation
% and shear is 0.
%
% Y = MrAffineTransformation()
% Y.set_from_dim_info(dimInfo)
%
% This is a method of class MrAffineTransformation.
%
% IN
%
% OUT
%
% EXAMPLE
% set_from_dim_info
%
% ... |
5650f3db7d922697effa281b9bac53fc5bb1d5a8ddcb4f351ab5008a571fc053 | MATLAB | 1,386 | 57 | function [s, freq] = searchindex(mfile, szmin)
%SEARCHINDEX Compute keywords statistics of an M-file
% S = SEARCHINDEX(MFILE) returns a cell array of char S containing
% all the keywords (variables, function names, words in comments or
% char arrays) found in M-file MFILE, of more than 2 characters.
% S = SEARCHIND... |
053ce7a68f222685184c48680fb461aaf6b5220e70b0f74c03212e6b8482740a | MATLAB | 1,387 | 40 | set_up_paths_and_data_directories;
beh_data = load(fullfile(folder_project, 'data', 'BehavioralRatingsPerVideoAndDim.mat'));
behTab = beh_data.behTab;
emotions = {'Good', 'Bad', 'Calm', 'AtEase'};
behTab = structfun(@(tbl) tbl(:, emotions(ismember(emotions, tbl.Properties.VariableNames))), behTab, 'UniformOutput', fa... |
0a73769bd1581ec748795c7ab164cd01f72e93f666f5d4109ef6a791ae4ce14b | MATLAB | 1,387 | 36 | function transients = transientmask2(trace, nSigmaStart, nSigmaEnd, mindur, SD)
% Create mask for transients exceeding the nSigmaStart level lasting until
% crossing nSigmaEnd again with a specified minimum duration. Adapted from
% Dombeck et al., 2007. Mindur is in SAMPLING POINTS!
% Note H.-L. Chen: this is a "re... |
4fa9ed1fa31c51b0173387fcf0e5db30b54052c8faf72d44bf0bf6d604409019 | MATLAB | 1,387 | 48 | function [I,windowsize,noverlap,nfft,rate,box,s,fr,ti,audio,AudioRange] = CreateSpectrogram(call)
%% Extract call features for CalculateStats and display
rate = call.Rate;
box = call.Box;
audio = call.Audio{:};
if ~isfloat(audio)
audio = double(audio) / (double(intmax(class(audio)))+1);
elseif ~isa(au... |
bb44393673a6a90c0ba6133da33b214886f2d1cca5ad8ea87b6f85ce89f93a9b | MATLAB | 1,387 | 61 | function err = figarng (hvect,xll,yll,xur,yur,nfx)
% err = figarng (hvect,xll,yll,xur,yur,nfx)
% arranges the figures with handles present in hvect.
% The figures are placed in the region bound at the lower left corner
% by (xll,yll) and the upper right corner by (xur,yur)
% nfx is the number of figures placed in the x... |
251a42fdb8ca049e3ceb266d9be65ca0f456c7be4cdf757790d0db86ca05909c | MATLAB | 1,388 | 46 | %% EditInputMinMax_Callback(source,eventdata,defaultValue,isIntegerInput,lb,ub)
%
% Input
% --------------
% isIntegerInput : true for returning integer, false for float value
% lb : minimum value of the input
% ub : maximum value of the input
%
% Description: This is a callback function t... |
2a3effbfb89bcd20d6d2b7b8918af35407c83301e3c9e4e20671e950272e7259 | MATLAB | 1,388 | 48 | function [chVals_out, chMNIs_out] = voxelAvg_chVals_inCube(chVals, chnlsMNI, subj_inds, d_mm, n_subjContribute)
% finds average value from all channels that are located within a cube of d_mm
% (c) Jiri, Jan19
%% number of different subjects in each larger voxel
if nargin < 5
n_subjContribute = 2;
end
%% define a... |
6518275e8afbc0a857f5e6d41922626011b0102b125eb835ac9ef38ad0c710d3 | MATLAB | 1,388 | 41 | function exportaudio_Callback(hObject, eventdata, handles)
%% Save the audio within user defined time smapn to a WAV file. The
%% default span is the span of the currently selected call.
current_box = handles.data.calls.Box(handles.data.currentcall,:);
% Get the relative playback rate
answer = inputdlg({'Choose Playb... |
a30930918318b628fdfd02e22b7e97f8955275e7e1e4fefa8b4a68fa6b887982 | MATLAB | 1,389 | 40 | function res = ctranspose(obj,useconj);
if nargin == 1
useconj = 1;
end
if length(obj.dimensions) > 2
error('Cannot transpose array');
end
% make new memory mapped data file
% --------------------------------
newFileName = mmo.getnewfilename;
copyfile(obj.dataFile, ... |
d867e184d41c4b37d40b123c233182e07954fe107d44457c42b5da0546a5d1ba | MATLAB | 1,389 | 56 | function [fitresult, gof,output] = createFitExp(input)
%CREATEFIT1(TEST)
% Create a fit.
%
% Data for 'fit2' fit:
% Y Output: test
% Output:
% fitresult : a fit object representing the fit.
% gof : structure with goodness-of fit info.
%
% See also FIT, CFIT, SFIT.
% Auto-generated by MATLAB on 06-D... |
9c84a1f54c6aa9c9b14e3831be230b95cca0ca31c70c10e8a7729ae83fb07557 | MATLAB | 1,390 | 45 | function [wait_time_mean, pval] =...
waittime_20ul_by_previous_vol(A, varargin)
%waittime_20ul_by_previous_vol Finds wait time on 20 uL trials in mixed
% blocks divded into whether the previous volume is < 20 uL or > 20 uL.
% Input: A - A struct (if you accidentally put in S struct, code will
% convert)
% ... |
1397f3bb6ade54d8049be1385d116d35aa3551e07891fc9d015f16f72989593a | MATLAB | 1,391 | 35 | % Read the data from the CSV file
data = readtable('../Results/single_ct_acc.csv');
% Extract the 'best_acc_wordvector' column
acc_data = data.best_acc_wordvector;
% Define the value to test against
mu0 = 0.5;
% Perform a one-sample t-test (right-tailed)
% H0: mean(acc_data) = mu0
% H1: mean(acc_data) > mu0
[h, p, c... |
5afeb1ae466b1446b06fb52dfded8b2b52c775cb6add549a0a57555cdbdd3d81 | MATLAB | 1,391 | 45 | function cellvol = cellVolume(meshvar)
% cellvol = cellVolume(meshvar)
% returns the volume of each cell as a cell variable
% SYNOPSIS:
% cellvol = cellVolume(meshvar)
%
% PARAMETERS:
% MeshStructure: a mesh structure created by buildMesh* functions
%
% RETURNS:
% cellvol: a (1D, 2D, or 3D) matrix depending on th... |
7f252d9bbcfc0d69032f789584300885200d75b9a80e6bc366feac15388e92a7 | MATLAB | 1,391 | 49 | function main_execute(params, subj)
% analyzes the iEEG experiments for a single subject 'subj' in subject list
% runs analyses based on configuration
% (c) Jiri, 2016 - ...
% based on: whitenoise/mainEcog.m (c) Jiri, 2011 - 2015
%% subject tag
params.storage.subjTag = params.storage.subjList{subj,1};
disp(['Processi... |
0a8439146ab8ed1bdfdd2558d3d2ef4cbfc3b98e20367f811735bcddabb796c5 | MATLAB | 1,392 | 46 | function otherImage = unwrap(this, applicationDimension)
% Unwraps phase of images along specified dimension
%(or assumes phase image as input for real valued data)
%
% Y = MrImage()
% Y.unwrap(inputs)
%
% This is a method of class MrImage.
%
% IN
% applicationDimension along which unwrapping is performed
% ... |
3a5d161753544b36782dbace012ee2ad37fc480d07232fde05bc7e89b7a89b52 | MATLAB | 1,392 | 57 | % osp_spiral.m
% Helge Zollner, Johns Hopkins University 2020.
%
% USAGE:
% [x, y] = osp_spiral(n);
%
% DESCRIPTION:
% This function calcualtes the x,y coordinates of the nth point of a ulam
% spiral. This is usful if you want to fit MRSI data following a spiral
% trajectory.
%
%
% INPUTS:
% n = nth point o... |
d50ba99595a693fa459bf12feb8cc644a8dedc050e716d29147632cc22900139 | MATLAB | 1,392 | 47 | function [mmu, mvu, vmu, vvu, me, ve, ml, vl, p0m, p0v] = ...
tapas_sem_unified_gaussian_priors()
%% A single set of priors in terms of mean and variance.
%
% Input
%
% Ouput
% mmu -- Mean of the mean of the units
% mvu -- Variance of the mean of the units
% vmu -- Mean of the vari... |
4460cea4ea5b3ebb93d4782ecde33c85737fe2aff5f681ed6342df5bb7a38fa6 | MATLAB | 1,393 | 47 | function this = t_filter(this, cutoffSeconds)
% high-pass filters temporally (4th dimension of the image) as SPM
%
% MrImage = t_filter(MrImage)
%
% This is a method of class MrImage.
%
% IN
% cutoffSeconds slower drifts than this will be filtered out
%
% OUT
%
% EXAMPLE
% t_filter
%
% See also MrImage spm_fi... |
4f8f65c705d1d27267d761228a0f590ec9f74b32ea2ecb338f784bac825821ba | MATLAB | 1,393 | 50 | function [averageImage, rgbMean, rgbCovariance] = getImageStats(images, varargin)
%GETIMAGESTATS Get image statistics
opts.gpus = [] ;
opts.batchSize = 256 ;
opts.imageSize = [256 256] ;
opts.numThreads = 6 ;
opts = vl_argparse(opts, varargin) ;
avg = {} ;
rgbm1 = {} ;
rgbm2 = {} ;
numGpus = numel(opts.gpus) ;
if n... |
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