plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | shayo/Planner-master | fast_sincmtx.m | .m | Planner-master/PublicLib/FreeSurfer/fast_sincmtx.m | 1,382 | utf_8 | 4623cee807bc3255f386927d537f12a9 | function M = fast_sincmtx(len,delta,rownorm,hw)
% M = fast_sincmtx(len,delta,<rownorm>,<hw>)
% Create a sinc interpolation matrix. Given a vector y,
% yhat = M*y will be the sinc interpolation of y shifted
% backwards by delta, where delta is a fration of the
% distance between y. If rownorm is set to non-zero, then
%... |
github | shayo/Planner-master | talairaching_afd.m | .m | Planner-master/PublicLib/FreeSurfer/talairaching_afd.m | 4,512 | utf_8 | 89a98a35ae114c372e2b8ae03a9b67e3 | function [proba, pinf]=talmat(filename, th_pval, DirTable)
%
% Computes the probability of the Talairach transform matrix
% 'filename/mri/transforms/talairach.xfm'.
% Uses the mean vector and covariance matrix obtained with talairachin_table.m from
% the data set (default data set: /space/neo/2/recon/buck... |
github | shayo/Planner-master | vqm.m | .m | Planner-master/PublicLib/FreeSurfer/vqm.m | 3,956 | utf_8 | 0a9161bbeee2a921e8ec987bb3aa4226 | function Q = vqm(abc,voxsize,voldim,base)
%
% Q = vqm(abc,voxsize,voldim,<base>)
%
% Volume quantization matrix. Q computes the x,y,z of a voxel given
% the subscript of the voxel in the volume.
%
% abc - 3 character string indicating which physical dimension maps to
% the fast (a), medium (b), and slow (c) i... |
github | shayo/Planner-master | surf_registration_afd.m | .m | Planner-master/PublicLib/FreeSurfer/surf_registration_afd.m | 4,921 | utf_8 | 51a5d10f7fa8c4d3697893e6d564e46a | function [prv ] = surf_registration_adf(subject, th_pval)
%% Tests the overall surface based registration %%
%
%
% surf_registration_afd.m
%
% Original Author: Laurence Wastiaux
% CVS Revision Info:
% $Author: nicks $
% $Date: 2007/01/10 22:55:10 $
% $Revision: 1.2 $
%
% Copyright (C) 2002-2007,
% The Gener... |
github | shayo/Planner-master | fast_fxcfg_poly.m | .m | Planner-master/PublicLib/FreeSurfer/fast_fxcfg_poly.m | 4,000 | utf_8 | ce435a1008bafda95697d6770cf8187a | function rt = fast_fxcfg_poly(DoWhat,thing)
% rt = fast_fxcfg_poly(DoWhat,thing)
%
% DoWhat can be:
% iserm - returns 0 (this is not an erm) thing not needed.
% nparams - returns number of parameters in model (1). thing not needed.
% nregressors - number of regressors in current X matrix. thing=flacfg
% matrix - X... |
github | shayo/Planner-master | fast_evfunc.m | .m | Planner-master/PublicLib/FreeSurfer/fast_evfunc.m | 13,082 | utf_8 | f7d753f8a492dd36678a3a5d7b908901 | function r = fast_evfunc(varargin)
% r = fast_evfunc(varargin)
%
% Computes the spatial eigen structure for a list of input
% functional volumes. If a mask is supplied (or automask is
% specified, the input volumes will be masked off. After
% masking, temporal covmtx is computed and saved. The Temporal
% EVects and ... |
github | shayo/Planner-master | read_patch.m | .m | Planner-master/PublicLib/FreeSurfer/read_patch.m | 1,252 | utf_8 | 7efcc2b807fc0828c0e9f19532d0152f | %
% read_patch.m
%
% Original Author: Bruce Fischl
% CVS Revision Info:
% $Author: fischl $
% $Date: 2011/07/19 20:35:44 $
% $Revision: 1.4 $
%
% Copyright © 2011 The General Hospital Corporation (Boston, MA) "MGH"
%
% Terms and conditions for use, reproduction, distribution and contribution
% are found in the... |
github | shayo/Planner-master | fast_func2acor.m | .m | Planner-master/PublicLib/FreeSurfer/fast_func2acor.m | 11,342 | utf_8 | f6ec172e29c95b67af6c00d71fc1f69a | function r = fast_func2acor(varargin)
% r = fast_func2acor(varargin)
% '$Id: fast_func2acor.m,v 1.1 2003/03/04 20:47:38 greve Exp $'
tic;
version = '$Id: fast_func2acor.m,v 1.1 2003/03/04 20:47:38 greve Exp $';
fprintf(1,'%s\n',version);
r = 1;
%% Print useage if there are no arguments %%
if(nargin == 0)
print_usag... |
github | shayo/Planner-master | pons_cut_dir_afd.m | .m | Planner-master/PublicLib/FreeSurfer/pons_cut_dir_afd.m | 4,523 | utf_8 | 82b187da27f81455e90fe7863b52c09e | function [D, Isubj]=pons_cut_dir_adf(dirname,th_pval)
% For all the subjects in the directory "dirname":
% Computes the Dice coefficients D=2Nab/Na+Nb
% where:
% Na is the volume of the Cerebellum obtrained trough the volume-based labeling
% Nb is the volume "filled" ... |
github | shayo/Planner-master | cortical_labeling_dir_afd_txt.m | .m | Planner-master/PublicLib/FreeSurfer/cortical_labeling_dir_afd_txt.m | 8,264 | utf_8 | 9a2d6355b487ece806f75ff4ec1905cf | function [Dl, Dr,I]=cortical_label_dir_adf(dirname, p_val)
% Computes the area of the different cortical labels
% and compare them to the normal range for all the
% subjects in directory "dirname"
% Uses the p_values to detect the abnormal structures
% Uses the lh/rh.parc.txt files
%
%
% cortical_labeling_dir_afd_t... |
github | shayo/Planner-master | fast_fxcfg_spmhrf.m | .m | Planner-master/PublicLib/FreeSurfer/fast_fxcfg_spmhrf.m | 7,091 | utf_8 | bde4b2115a227fbca9ef1f0f0ccd32e8 | function rt = fast_fxcfg_spmhrf(DoWhat,thing)
% Handle configuration for SPM Hemodynamic Response Function
%
% rt = fast_fxcfg_spmhrf(DoWhat,thing)
%
% DoWhat can be:
% iserm - returns 1 because this is an erm. thing not needed.
% nparams - returns number of parameters in model (9). thing not needed.
% nregressors ... |
github | shayo/Planner-master | fast_igxavg.m | .m | Planner-master/PublicLib/FreeSurfer/fast_igxavg.m | 7,168 | utf_8 | 2ecb2a746bd2e5f73fc2f1a7f9ad052a | function r = fast_isxavg_fe(varargin)
% Name: fast_isxavg_fe
% Purpose: implements fixed-effects intersession averaging
% for output of selxavg
% Author: Douglas Greve
% Questions or Comments: analysis-bugs@nmr.mgh.harvard.edu
% Version: $Id: fast_igxavg.m,v 1.1 2003/03/04 20:47:38 greve Exp $
% r = fast_isxav... |
github | shayo/Planner-master | talairaching_stats.m | .m | Planner-master/PublicLib/FreeSurfer/talairaching_stats.m | 2,756 | utf_8 | 60054ac79eae62d93fb8d455f08d143f | function [D,mu,sigma]=talairach_stats_correct(dirname, outdir)
%
% Computes the mean and covariance matrix from a training set
%
% By default, the 3 translation parameters are not considered
% -> mu is a 1x9 vector and sigma a 9x9 matrix
%
% talairaching_stats.m
%
% Original Author: Laurence Wastiaux
% CVS Revi... |
github | shayo/Planner-master | fast_ldflac.m | .m | Planner-master/PublicLib/FreeSurfer/fast_ldflac.m | 8,054 | utf_8 | 6478f6cbf130de18d40028991216b2ca | function flac = fast_ldflac(flacfile,flac)
% flac = fast_ldflac(flacfile,<flac>)
%
% $Id: fast_ldflac.m,v 1.12 2005/10/05 19:21:50 greve Exp $
if(nargin < 0 | nargin > 2)
fprintf('flac = fast_ldflac(flacfile,<flac>)\n');
flac = [];
return;
end
if(~exist('flac','var')) flac = []; end
if(isempty(flac))
flac.nam... |
github | shayo/Planner-master | fast_evspatfil.m | .m | Planner-master/PublicLib/FreeSurfer/fast_evspatfil.m | 15,324 | utf_8 | 77b6fa34ead216b31c230def9a5abba5 | function r = fast_evspatfil(varargin)
% r = fast_evspatfil(varargin)
%
% Spatially filters by projecting out a given set
% of spatial eigenvectors as computed by fast_evfunc.m
%
% '$Id: fast_evspatfil.m,v 1.1 2003/03/04 20:47:38 greve Exp $'
%
version = '$Id: fast_evspatfil.m,v 1.1 2003/03/04 20:47:38 greve Exp $';
fp... |
github | shayo/Planner-master | pons_cut_afd.m | .m | Planner-master/PublicLib/FreeSurfer/pons_cut_afd.m | 3,959 | utf_8 | 1201fb201efbe919d887fe93cda1a2ca | function [D]=pons_cut_adf(subject, th_pval)
% For the subject "subject": computes the Dice coefficient D=2*Nab/(Na+Nb)
% Na is the volume of the Cerebellum+Brain-stem obtrained trough the volume-based labeling
% Nb is the volume "filled" obtained from the surface-based stream
% Nab is the volume of th... |
github | shayo/Planner-master | fast_svdfunctcvm.m | .m | Planner-master/PublicLib/FreeSurfer/fast_svdfunctcvm.m | 20,625 | utf_8 | 77873044065a4b711d56d24e52cb6d9b | function r = fast_svdfunctcvm(varargin)
% r = fast_svdfunctcvm(varargin)
% '$Id: fast_svdfunctcvm.m,v 1.2 2004/12/14 22:06:36 greve Exp $'
version = '$Id: fast_svdfunctcvm.m,v 1.2 2004/12/14 22:06:36 greve Exp $'
fprintf(1,'%s\n',version);
r = 1;
%% Print useage if there are no arguments %%
if(nargin == 0)
print_us... |
github | shayo/Planner-master | subcortical_labeling_dir_afd.m | .m | Planner-master/PublicLib/FreeSurfer/subcortical_labeling_dir_afd.m | 6,119 | utf_8 | b40c75509ba5d462d4613ce7093a5233 | function [Dvol,I]=check_ROI_dir(Dirname, th_pval)
%
% For all the subjects in a directory:
% check if the size of 20 ROIs is within the normal range
% The 20 following ROIs are checked: Left-Lateral-Ventricle Right-Lateral-Ventricle
% Left-Hippocampus Right-Hippocampus Left-Thalamus-Prop... |
github | shayo/Planner-master | ribbon_dir_afd.m | .m | Planner-master/PublicLib/FreeSurfer/ribbon_dir_afd.m | 8,907 | utf_8 | 5772f05c0e4d556d299802a1e3333ac0 | function [D, Isubj]=ribbon_dir_adf(dirname, th_pval)
% For each subject in the directory "dirname":
% Computes the Dice coefficients measuring the overlap of the
% Cortical Ribbon volume computed
% 1- from the subcortical labeling
% 2- as the space between the white and the pial surface
%
%... |
github | shayo/Planner-master | fmri_lddat2.m | .m | Planner-master/PublicLib/FreeSurfer/fmri_lddat2.m | 3,136 | utf_8 | 9f4fbaed4a9eca88575b0382d3e60df7 | function hdrdat = fmri_lddat2(datfile)
%
% Load information and parameters from a data file into an hdrdata
% structure. To replace fmri_lddat()
%
% datfile - (string) name of data file
%
% $Id: fmri_lddat2.m,v 1.1 2003/03/04 20:47:39 greve Exp $
if(nargin ~= 1)
msg = 'Usage: hdrdat = fmri_lddat2(datfile)'
qoe(ms... |
github | shayo/Planner-master | imreadBF.m | .m | Planner-master/PublicLib/imreadBF/imreadBF.m | 3,221 | utf_8 | 1e19b13e5c0240cf62640e6cb4fb5d63 | function [vol]=imreadBF(datname,zplanes,tframes,channel)
%imreadBF(datname,zplanes,tframes,channel)
%[vol]=imreadBF(datname,zplanes,tframes,channel)
%
%imports images using the BioFormats package
%you can load multiple z and t slices at once, e.g. zplanes=[1 2 5] loads
%first,second and fifth z-slice in a 3D-Stack
%
%... |
github | shayo/Planner-master | fnMyPolygonModificationTool.m | .m | Planner-master/Core/fnMyPolygonModificationTool.m | 7,259 | utf_8 | 9b765e9c45efc8cdd9e2c17228f174e7 | function [afX, afY] = fnMyPolygonModificationTool(hAxes, X,Y)
apt2fArcLength= fnResampleArcLength2D([X(:),Y(:)], 2);
%afCurvature = LineCurvature2D(apt2fArcLength);
%figure;plot(afCurvature)
afX = apt2fArcLength(:,1);
afY = apt2fArcLength(:,2);
bCancelled = false;
hFig = get(hAxes,'parent');
strctSavedMouseHandles.m_... |
github | shayo/Planner-master | fnMyXMLToStruct.m | .m | Planner-master/Core/fnMyXMLToStruct.m | 3,354 | utf_8 | 991de07f4f5f25da058dbcb445fb3691 | function strctConfig = fnMyXMLToStruct(strXMLFile,bWarning)
global g_bWarning
if ~exist('bWarning','var')
g_bWarning = true;
end;
strctRAW = xml2struct(strXMLFile);
strctConfig = fnRecursiveParse(strctRAW,[],'strctConfig');
clear global g_bWarning
return;
function strctConfig = fnRecursiveParse(strctRAW,strctCo... |
github | shayo/Planner-master | fnMyStructToXML.m | .m | Planner-master/Core/fnMyStructToXML.m | 3,708 | utf_8 | 434ee046f7537e73648c93b22b494fcd | function fnMyStructToXML(strctConfig, strFilename)
hFileHandle = fopen(strFilename,'w+');
Depth = 0;
fprintf(hFileHandle,'<Config>\n');
fnRecursivePrint(strctConfig, Depth, hFileHandle)
fprintf(hFileHandle,'</Config>\n');
fclose(hFileHandle);
return;
function fnRecursivePrint(strctConfig, Depth, hFileHandle)
acFieldN... |
github | shayo/Planner-master | fnMyCameraToolBar.m | .m | Planner-master/Core/fnMyCameraToolBar.m | 49,204 | utf_8 | e006e974f0fee5d51ce42a5ec8bd7b4b | function ret=fnMyCameraToolBar(varargin)
%fnMyCameraToolBar Interactively manipulate camera.
% fnMyCameraToolBar creates a new toolbar that enables interactive
% manipulation of a scene's camera and light by dragging the
% mouse on the figure window; the camera properties of the
% current axes (gca) are affect... |
github | shayo/Planner-master | savefig.m | .m | Planner-master/Core/savefig.m | 13,376 | utf_8 | 639de19dc6b76bcecf3adbb45acaef99 | 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 | shayo/Planner-master | LineCurvature2D.m | .m | Planner-master/Core/LineCurvature2D.m | 4,069 | utf_8 | 5d68750190861c373b2e3ee9972996e6 | function k=LineCurvature2D(Vertices,Lines)
% This function calculates the curvature of a 2D line. It first fits
% polygons to the points. Then calculates the analytical curvature from
% the polygons;
%
% k = LineCurvature2D(Vertices,Lines)
%
% inputs,
% Vertices : A M x 2 list of line points.
% (optional)
% Li... |
github | shayo/Planner-master | xml2struct.m | .m | Planner-master/Core/xml2struct.m | 2,163 | utf_8 | 89d5349cc31971f9e87b90624eac5df5 | function theStruct = xml2struct(filename)
% XML2STRUCT Convert an XML file into a MATLAB structure.
% Copyright 2003-2007 The MathWorks, Inc.
% $Revision: 1.1.4.3 $ $Date: 2007/06/04 21:04:28 $
% Based on an idea by Douglas M. Schwarz, Eastman Kodak Company
try
tree = xmlread(filename);
catch
error('B... |
github | shayo/Planner-master | fnGramSchmidt.m | .m | Planner-master/Core/fnGramSchmidt.m | 854 | utf_8 | 7540fd161fd6d2837847f55f396e2ea2 | function [afDirection1,afDirection2] = fnGramSchmidt(afDirection)
afDirection = afDirection./norm(afDirection);
afBase1 = zeros(size(afDirection));
[fDummy,iMinIndex] = min(abs(afDirection));
afBase1(iMinIndex) = 1;
% Make sure the afDirection1 is orthogonal to afDirection
afDirection1 = afBase1 - fnProjVOntoU(afDirec... |
github | shayo/Planner-master | fnMeshLineIntersection.m | .m | Planner-master/Core/fnMeshLineIntersection.m | 1,625 | utf_8 | dd6b10d77bc1dae6824276306fa2d317 | function [aiIntersectingTriangles, apt3fIntersectionPoints,afDistanceFromP0] = fnMeshLineIntersection(strctMesh, P0,Dir)
% Iterate over triangles.
% per triangle, build the plane and check for plane-line intersection
% (always exist). Check that the intersection point is inside the
% triangle...
iNumFaces = size(strctM... |
github | shayo/Planner-master | fnPointPlaneDist.m | .m | Planner-master/Core/fnPointPlaneDist.m | 211 | utf_8 | 0e5c4a3d8f7abb8c565769e4200bc3f0 |
function fDist = fnPointPlaneDist(strctCrossSection, pt3fPoint)
fD = -strctCrossSection.m_a2fM(1:3,3)' * strctCrossSection.m_a2fM(1:3,4);
fDist = strctCrossSection.m_a2fM(1:3,3)' * pt3fPoint(1:3) +fD;
return
|
github | shayo/Planner-master | fnMyErode.m | .m | Planner-master/Core/fnMyErode.m | 83 | utf_8 | 37d949a2e07dbac0d4d34b05097c0fdf |
function a2iOutput=fnMyErode(a2iInput,fSize)
a2iOutput = bwdist(~a2iInput)>fSize;
|
github | shayo/Planner-master | read_vrml.m | .m | Planner-master/Core/read_vrml.m | 7,932 | utf_8 | 33325d3b604a7c18e845f38c8748a70b | %/*********************************************************************************
% FUNCTION NAME : read_vrml
% AUTHOR : G. Akroyd
% PURPOSE : reads a VRML or Inventor file and stores data points and connectivity
% in arrays ready for drawing wireframe images.
%
% VARIABLES/PARAMETERS:
% i/p fi... |
github | wagner-lab/spm12w-master | spm12w_despike.m | .m | spm12w-master/spm12w/spm12w_despike.m | 8,418 | utf_8 | 6f3d205d55e2c8951162667dd6ebdf28 | function spm12w_despike(varargin)
% spm12w_despike(niifile, cut, dilate)
%
% Input
% -----
% niifile : Full path to nifti file for despiking. Can accept .gz files.
%
% outfile : Name of nifti file for output of despiking.
%
% cut : Cut range for despiking [c1,c2] (default=[2.5,4]).
%
% c_order : Curve fit ... |
github | wagner-lab/spm12w-master | spm12w.m | .m | spm12w-master/spm12w/spm12w.m | 23,728 | utf_8 | b95dd535e426967f37ec178a62ebb585 | function spm12w(varargin)
% spm12w(stage, sids, para_file, parloop, parcores)
%
% Inputs
% ------
% stage: String for the specific analysis stage desired. Supplying a stage
% will override the gui and go directly to performing the analysis
% stage. If stage requires a p & glm parameters file you must prov... |
github | wagner-lab/spm12w-master | ps2pdf.m | .m | spm12w-master/spm12w/ps2pdf.m | 16,801 | utf_8 | 2c76fb4b27c37963d3ac4b6b77b25ee9 | function ps2pdf(varargin)
%PS2PDF Function to convert a PostScript file to PDF using Ghostscript
%
% Converts a postscript file into PDF. The resulting PDF file will contain
% one page for each page defined in the postscript files, so a multi-page
% postscript file, like those generated by using the '-append' option... |
github | wagner-lab/spm12w-master | spm12w_designtool.m | .m | spm12w-master/spm12w/spm12w_designtool.m | 38,115 | utf_8 | 86d7e599663ebf511e346538bcc70653 | function spm12w_designtool(varargin)
% spm12w_glm_build('type','','des_file','')
%
% Inputs
% ------
% type : Type of experiment design function to run. Options are 'search',
% 'check' and 'build', (default = 'search').
%
% des_file : File specifying the parameters for design development.
% (... |
github | rohitnandwani/belkin-energy-disaggregation-kaggle-master | untitled.m | .m | belkin-energy-disaggregation-kaggle-master/untitled.m | 6,883 | utf_8 | 8db17f38ff7ddd19f7b3220bd2d437bd | function varargout = untitled(varargin)
% UNTITLED MATLAB code for untitled.fig
% UNTITLED, by itself, creates a new UNTITLED or raises the existing
% singleton*.
%
% H = UNTITLED returns the handle to a new UNTITLED or the handle to
% the existing singleton*.
%
% UNTITLED('CALLBACK',hObject,ev... |
github | rohitnandwani/belkin-energy-disaggregation-kaggle-master | cvEucdist.m | .m | belkin-energy-disaggregation-kaggle-master/cvEucdist.m | 1,836 | utf_8 | 747815f8e57aca75909505aaa8ec5f85 | % cvEucdist - Euclidean distance
%
% Synopsis
% [d] = cvEucdist(X, Y)
%
% Description
% cvEucdist calculates a squared euclidean distance between X and Y.
%
% Inputs ([]s are optional)
% (matrix) X D x N matrix where D is the dimension of vectors
% and N is the number of vectors.
% (m... |
github | rohitnandwani/belkin-energy-disaggregation-kaggle-master | cvKnn.m | .m | belkin-energy-disaggregation-kaggle-master/cvKnn.m | 3,555 | utf_8 | 4c4cf229d5d4d1e538621050bd06fd8b | % cvKnn - K-Nearest Neighbor classification
%
% Synopsis
% [Class] = cvKnn(X, Proto, ProtoClass, [K], [distFunc])
%
% Description
% K-Nearest Neighbor classification
%
% Inputs ([]s are optional)
% (matrix) X D x N matrix representing column classifiee vectors
% where D is the number of... |
github | kolian1/lineLBP-master | imshift.m | .m | lineLBP-master/imshift.m | 8,853 | utf_8 | 4bd172d849aac7728d1306a4bb27482b | function outImg=imshift(inImg, shiftVec, varargin)
%% function varargout=imshift(shiftVec,varargin)
% Shifts input images, computing it via convolutions with shifted 2D delta function.
%
%% Syntax
% [shiftImg]=imshift(shiftImg, shiftVec)
% [shiftImg]=imshift(shiftImg, shiftVec, BoundaryOption)
%
%% Description
% This f... |
github | kolian1/lineLBP-master | tightHistImg.m | .m | lineLBP-master/tightHistImg.m | 3,987 | utf_8 | 47aca4b286726f9a474ab58a20868471 | function [outImg, varargout]=tightHistImg(inImg, varargin) % isTight, minQuant, isChanWise, inMap, outMap
%% tightHistImg
% Improve contrast by making matrix/image histogram tight or uniformly distributed.
%
%% Syntax
% outImg=tightHistImg(inImg, isTight, minQuant, isChanWise);
%
%% Description
% The goal of this funct... |
github | kolian1/lineLBP-master | lineFiltLBP.m | .m | lineLBP-master/lineFiltLBP.m | 6,927 | utf_8 | fd6e2a5f595b8a67db0e41ca00d5f73d | function [varargout] = lineFiltLBP(inImg, nFiltDims, hLBP, isScale, targetClass)
%% lineLBP
% The function implements LLBP (Line Local Binary Pattern) analysis.
%
%% Syntax
% lineLBP(inImg, nFiltDims, hLBP, isScale, targetClass);
% LLBP = lineLBP(inImg, nFiltDims, hLBP, isScale, targetClass);
% [LLBP, verticalLBP, h... |
github | kolian1/lineLBP-master | pixelwiseLBP.m | .m | lineLBP-master/pixelwiseLBP.m | 7,864 | utf_8 | f05cae4ee98ca533744613e7c6cc534e | function LBP= pixelwiseLBP(inImg, varargin) % isRotInv, isChanWiseRot, filtR
%% pixelwiseLBP
% The function implements LBP (Local Binary Pattern analysis).
%
%% Syntax
% LBP= pixelwiseLBP(inImg);
%
%% Description
% The LBP tests the relation between pixel and it's neighbors, encoding this relation into
% a binary wo... |
github | kolian1/lineLBP-master | lineShiftLBP.m | .m | lineLBP-master/lineShiftLBP.m | 6,940 | utf_8 | 9760a2aa87755aaaae058215ceb7cb93 | function [varargout] = lineShiftLBP(inImg, nFiltDims, isScale, targetClass)
%% lineLBP
% The function implements LLBP (Line Local Binary Pattern) analysis.
%
%% Syntax
% lineLBP(inImg, nFiltDims, hLBP, isScale, targetClass);
% LLBP = lineLBP(inImg, nFiltDims, hLBP, isScale, targetClass);
% [LLBP, verticalLBP, horizo... |
github | OpenGP/htrack-master | PiecewiseRigidAlignment2D.m | .m | htrack-master/matlab/ik_alignment/PiecewiseRigidAlignment2D.m | 7,963 | utf_8 | 74f3e1e5f9c8cf50317f3b7e2c797c94 | %==========================================================================
% Dynamic 2D/3D Registration
% Sofien Bouaziz and Andrea Tagliasacchi and Mark Pauly
%
% Copyright (C) 2013 LGG, EPFL
%=========================================================================... |
github | ydluo/qdyn-master | qdyn_okada_kernel.m | .m | qdyn-master/utils/kernel_calc/qdyn_okada_kernel.m | 2,761 | utf_8 | 7cc311b4a1ffa4abedd4869efd8f7d65 | % qdyn_okada_kernel calculates Okada static stress kernels
% The fault is decomposed into a mesh of rectangular elements
% The kernels contain the shear and normal stresses on all elements
% induced by unit slip on each element
%
% [Ks,Kn] = qdyn_okada_kernel(NN,mu,lambda,X,Y,Z,DIP,DX,DW,fault_type)
%
% INPUTS:
% N... |
github | ydluo/qdyn-master | sdof.m | .m | qdyn-master/utils/spring_block/sdof.m | 2,076 | utf_8 | b84d3475958125c194a83a324d6ac303 | % Non linear solver for 1-DOF: spring + radiation damping
% with rate-and-state friction
% Mu = Mu0 -a*ln(V1/V+1) + b*ln(Theta/Theta1+1)
% dTheta/dT = 1-V*Theta/Dc
%
% Dimensionless ODE:
%
% dv/dt = [ - kappa*(v-1) - b/a *(1-v*theta)/(theta+icr) ]
% /[ eta + 1/v/(1+icr*v) ]
% dtheta/dt = 1-theta*v
%
% where... |
github | ydluo/qdyn-master | Qdyn_read_ot.m | .m | qdyn-master/QSB/Qdyn_read_ot.m | 465 | utf_8 | 309c71bd47ba5be6b2a9d18ce24ac3f9 | %--------Qdyn_read_ox_seq
%--------read sequential ox output file
%
function d = Qdyn_read_ot(filename)
dd.data=dlmread(filename,'',6,0);
d.t=dd.data(:,1);
d.locl=dd.data(:,2);
d.cl=dd.data(:,3);
d.p=dd.data(:,4);
d.pdot=dd.data(:,5);
d.vc=dd.data(:,6);
d.thc=dd.data(:,7);
d.omc=dd.data(:,8);
d.tauc=dd.data(:,9);
d.d... |
github | ydluo/qdyn-master | Qdyn_read_ox_seq.m | .m | qdyn-master/QSB/Qdyn_read_ox_seq.m | 495 | utf_8 | e981a7db85d2ef468a422532bcb10bc7 | %--------Qdyn_read_ox_seq
%--------read sequential ox output file
%
function d = Qdyn_read_ox_seq(filename)
fid=fopen(filename);
rline=fgetl(fid); rdat = sscanf(rline,'%f');
d.it=rdat(1);
d.ivmax=rdat(2);
d.n=rdat(3);
d.t=rdat(4);
dd.data = dlmread(filename,'',2,0);
d.X=dd.data(:,1);
d.Y=dd.data(:,2);
d.Z=dd.data(:... |
github | ydluo/qdyn-master | Qdyn_read_in.m | .m | qdyn-master/QSB/Qdyn_read_in.m | 1,787 | utf_8 | bc687b96c99a78440f6f68df901be896 | %--------Qdyn_read_in
%--------read qdyn.in
%
function d = Qdyn_read_in()
fid=fopen('qdyn.in');
rline=fgetl(fid); rdat = sscanf(rline,'%f');
d.MESHDIM=rdat(1);
rline=fgetl(fid); rdat = sscanf(rline,'%f');
d.NX=rdat(1);
d.NW=rdat(2);
rline=fgetl(fid); rdat = sscanf(rline,'%f');
d.L=rdat(1);
d.W=rdat(2);
d.Z_CORNER=rda... |
github | ydluo/qdyn-master | FSEM3D_snapshot.m | .m | qdyn-master/QSB/FSEM3D_snapshot.m | 1,700 | utf_8 | 1d11be738c4c98fb92e662e171df987b | %FSEM3D_SNAPSHOT reads fault data at a given time
%
% d = FSEM3D_snapshot(isnap, [dir, fault])
%
% INPUTS isnap snapshot index, as in Snapshot*.bin file names
% dir ["."] directory containing the SPECFEM3D output data Snapshot*.bin
% fault [1] fault id
%
% OUTPUTS d structure containing fault fields:
% X,Y,Z faul... |
github | ydluo/qdyn-master | TabKernelFiniteFlt.m | .m | qdyn-master/src/TabKernelFiniteFlt.m | 1,573 | utf_8 | 4c75575e185c3ba4a1f10bfdd6d6e43b | % I = TabKernelFiniteFlt(nmax,name)
%
% PURPOSE: Tabulate the correction term of the static kernel for a finite fault
% For fault quasistatic and quasidynamic simulations
% this needs to be done only once, with a large nmax.
% Then you can just read/load the output files.
%
% INPUT: nmax nb of tabulated values
... |
github | ydluo/qdyn-master | read_qdyn_out_Octave.m | .m | qdyn-master/src/read_qdyn_out_Octave.m | 1,104 | utf_8 | 1115689e6fee595da90f955ef06f0d87 | % for Octave (by Martijn van den Ende, m.p.a.vandenende@uu.nl, Oct 30 2014)
function [ot,ox] = read_qdyn_out_Octave(namet,namex)
fileID = fopen(namet);
result = textscan(fileID, '%f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f %f', 'Delimiter', ',', 'HeaderLines', 6);
fclose(fileID);
ot.t = result(1){1,1... |
github | ydluo/qdyn-master | qdyn.m | .m | qdyn-master/src/qdyn.m | 26,626 | utf_8 | 468a59450779c079397be7e27977d751 | % QDYN Quasi-dynamic earthquake cycles on a fault embedded in a
% homogeneous, linear, isotropic elastic medium.
% This is a Matlab wrapper for the Fortran code qdyn.f90
% Features:
% + rate-and-state friction coefficient
% Mu(V,Theta) = Muss + a*ln(V/Vss) + b*ln(Theta/Thetass)
% or... |
github | jtittelfitz/source-classification-master | flip.m | .m | source-classification-master/flip.m | 109 | utf_8 | 10b2e2b7efb03cdbac1b5e17bc8760d4 | %%
%% for compatibility with older versions of matlab
%%
function b = flip(a,j)
b = flipdim(a,j);
end
|
github | jtittelfitz/source-classification-master | generic_classifier.m | .m | source-classification-master/generic_classifier.m | 12,299 | UNKNOWN | 68d775a8359f1dce062bf20f335c23c1 | %
%
%� CMAP, Ecole Polytechnique
%contributors: Joan Bruna and St�phane Mallat (2010)
%bruna@cmap.polytechnique.fr
%
%This software is a computer program whose purpose is to implement
%an image classification architecture based on the Scattering Transform.
%
%This software is governed by the CeCILL license under Fren... |
github | jtittelfitz/source-classification-master | retrieve_train_data.m | .m | source-classification-master/retrieve_train_data.m | 2,642 | UNKNOWN | 0951ebde7984e868a292186a1c066732 | %
% Load the training data for the approximate speed source identification
% problem. The machine learning components of this software package are
% from the Scattering Transform package by Burna and Mallat; see original
% license below.
%
%
%
%� CMAP, Ecole Polytechnique
%contributors: Joan Bruna and St�phane Mallat ... |
github | jackoalan/audacity-master | sndfile_save.m | .m | audacity-master/lib-src/libsndfile/Octave/sndfile_save.m | 1,595 | utf_8 | e111c414a56ad9be6860d082f0de0cca | ## Copyright (C) 2002-2011 Erik de Castro Lopo
##
## This program 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 2, or (at your option)
## any later version.
##
## This program is distribute... |
github | jackoalan/audacity-master | sndfile_play.m | .m | audacity-master/lib-src/libsndfile/Octave/sndfile_play.m | 1,558 | utf_8 | 08c37ba08d4a75136216b4c844420b00 | ## Copyright (C) 2002-2011 Erik de Castro Lopo
##
## This program 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 2, or (at your option)
## any later version.
##
## This program is distribute... |
github | jackoalan/audacity-master | sndfile_load.m | .m | audacity-master/lib-src/libsndfile/Octave/sndfile_load.m | 1,483 | utf_8 | 06ed17568a7d51c3e166c6907a5e6ba9 | ## Copyright (C) 2002-2011 Erik de Castro Lopo
##
## This program 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 2, or (at your option)
## any later version.
##
## This program is distribute... |
github | davidnbresch/climada_advanced-master | climada_event_damage_data_tc_viz.m | .m | climada_advanced-master/code/climada_event_damage_data_tc_viz.m | 44,669 | utf_8 | 7bbb14abd4082baa43b965940b806cb6 | function hazard=climada_event_damage_data_tc_viz(tc_track,entity,check_mode,params,segment_i)
% climada tc animation
% MODULE:
% core
% NAME:
% climada_event_damage_data_tc_viz
% PURPOSE:
% The FAST version of climada_event_damage_data_tc. See also
% climada_event_damage_data_tc for some special cases. ... |
github | davidnbresch/climada_advanced-master | mrio_direct_risk_calc.m | .m | climada_advanced-master/code/mrio_economics/mrio_direct_risk_calc.m | 20,489 | utf_8 | e40235135fe66f6350c25ace1d2be4a6 | function IO_YDS = mrio_direct_risk_calc(climada_mriot, aggregated_mriot, params) % uncomment to run as function
% mrio direct risk ralc
% MODULE:
% advanced
% NAME:
% mrio_direct_risk_calc
% PURPOSE:
% given an encoded entity per economic sector (assets and damage functions)
% and a hazard event set, c... |
github | davidnbresch/climada_advanced-master | mrio_read_table.m | .m | climada_advanced-master/code/mrio_economics/mrio_read_table.m | 43,027 | utf_8 | 2e4ea99e49ad84a13fc80d1fdab560db | function [climada_mriot, mriot_save_file] = mrio_read_table(mriot_file, table_flag, force_read)
% mrio read table
% MODULE:
% climada_advanced
% NAME:
% mrio_read_table
% PURPOSE:
% Reads data from a provided mrio table (mriot) into a climada mriot
% struct. Currently made to work with EXIOBASE (industry-by-ind... |
github | davidnbresch/climada_advanced-master | mrio_aggregate_table.m | .m | climada_advanced-master/code/mrio_economics/mrio_aggregate_table.m | 31,938 | utf_8 | e838584350621481afc36b746d1068cd | function [aggregated_mriot, climada_mriot] = mrio_aggregate_table(climada_mriot, full_aggregation_flag, RoW_flag)
% mrio aggregate table
% MODULE:
% climada_advanced
% NAME:
% mrio_aggregate_table
% PURPOSE:
% Transforms a full climada mrio table struct (usually "climada_mriot") into an aggregated
% table tha... |
github | davidnbresch/climada_advanced-master | climada_adaptation_graph.m | .m | climada_advanced-master/code/ECA_graphics/climada_adaptation_graph.m | 8,210 | utf_8 | 019f89f07ecfe76e73b7a6f84564cfe0 |
function fig = climada_adaptation_graph(ECA_adaptation, case_i, digits)
global climada_global
if ~climada_init_vars, return; end
% poor man's version to check arguments
if ~exist('ECA_adaptation' ,'var'), ECA_adaptation = []; end
if ~exist('case_i' ,'var'), case_i = []; end
if ~exist('dig... |
github | davidnbresch/climada_advanced-master | climada_waterfall_graph_special_tanzania.m | .m | climada_advanced-master/code/ECA_graphics/climada_waterfall_graph_special_tanzania.m | 9,755 | utf_8 | 187fb9a2870f8d774277c0c6832d4604 |
function fig = climada_waterfall_graph_special_tanzania(ECA_studies, case_i, digits)
% waterfall figure, expected damage for specified return period for
% - today,
% - increase from economic growth,
% - increase from high climate change, total expected damage 2030
% for the three EDS quoted above
% NAME:
% ... |
github | davidnbresch/climada_advanced-master | climada_adaptation_graph_upsidedown.m | .m | climada_advanced-master/code/ECA_graphics/climada_adaptation_graph_upsidedown.m | 10,921 | utf_8 | b062af53bc34a47d17f5b26f2b92d31f |
function fig = climada_adaptation_graph_upsidedown(ECA_adaptation, case_i, digits)
global climada_global
if ~climada_init_vars, return; end
% poor man's version to check arguments
if ~exist('ECA_adaptation' ,'var'), ECA_adaptation = []; end
if ~exist('case_i' ,'var'), case_i = []; end
if ... |
github | davidnbresch/climada_advanced-master | climada_waterfall_graph_special.m | .m | climada_advanced-master/code/ECA_graphics/climada_waterfall_graph_special.m | 9,715 | utf_8 | 6917ff8c75abb10c38255efaeaa97edc |
function fig = climada_waterfall_graph_special(ECA_studies, case_i, digits)
% waterfall figure, expected damage for specified return period for
% - today,
% - increase from economic growth,
% - increase from high climate change, total expected damage 2030
% for the three EDS quoted above
% NAME:
% climada... |
github | davidnbresch/climada_advanced-master | climada_waterfall_graph_special_NY.m | .m | climada_advanced-master/code/ECA_graphics/climada_waterfall_graph_special_NY.m | 10,101 | utf_8 | 5482f25deb212912469fea499d2f4c5a |
function fig = climada_waterfall_graph_special_NY(ECA_studies, case_i, digits)
% waterfall figure, expected damage for specified return period for
% - today,
% - increase from economic growth,
% - increase from high climate change, total expected damage 2030
% for the three EDS quoted above
% NAME:
% clim... |
github | davidnbresch/climada_advanced-master | climada_adaptation_graph_new.m | .m | climada_advanced-master/code/ECA_graphics/climada_adaptation_graph_new.m | 10,957 | utf_8 | 9bfd27b474c7f309315b66b52f9d3557 |
function fig = climada_adaptation_graph_new(ECA_adaptation, case_i, digits)
global climada_global
if ~climada_init_vars, return; end
% poor man's version to check arguments
if ~exist('ECA_adaptation' ,'var'), ECA_adaptation = []; end
if ~exist('case_i' ,'var'), case_i = []; end
if ~exist(... |
github | davidnbresch/climada_advanced-master | axescenter.m | .m | climada_advanced-master/code/ECA_graphics/axescenter.m | 10,269 | utf_8 | 9237fd2748de8c0344e91357fae37d41 | function [] = axescenter(ax)
%AXESCENTER locates axes in the center instead of at the edges.
% AXESCENTER(AX) puts axes in the center of axes AX. If AX is not
% supplied, the current axes is assumed. Many of the standard properties
% manipulated through the command line will also work when the axes are in
% the ... |
github | davidnbresch/climada_advanced-master | climada_adaptation_graph_damage.m | .m | climada_advanced-master/code/ECA_graphics/climada_adaptation_graph_damage.m | 10,843 | utf_8 | 137744b1d7133b141f1007ae71b92d10 |
function fig = climada_adaptation_graph_damage(ECA_adaptation, case_i, digits)
global climada_global
if ~climada_init_vars, return; end
% poor man's version to check arguments
if ~exist('ECA_adaptation' ,'var'), ECA_adaptation = []; end
if ~exist('case_i' ,'var'), case_i = []; end
if ~exi... |
github | wanglimin/PRML-master | mixMnEm.m | .m | PRML-master/chapter09/mixMnEm.m | 1,410 | utf_8 | cb006b39049e0ff55bb04fb080efb4af | function [label, model, llh] = mixMnEm(X, k)
% Perform EM algorithm for fitting the multinomial mixture model.
% X: d x n data matrix
% init: k (1 x 1) or label (1 x n, 1<=label(i)<=k) or center (d x k)
% Written by Michael Chen (sth4nth@gmail.com).
%% initialization
fprintf('EM for mixture model: running ...... |
github | wanglimin/PRML-master | mixGaussEm.m | .m | PRML-master/chapter09/mixGaussEm.m | 3,138 | utf_8 | ea45d9969e3c175c97742e5e1ce487c7 | function [label, model, llh] = mixGaussEm(X, init)
% Perform EM algorithm for fitting the Gaussian mixture model.
% X: d x n data matrix
% init: k (1 x 1) or label (1 x n, 1<=label(i)<=k) or center (d x k)
% Written by Michael Chen (sth4nth@gmail.com).
%% initialization
fprintf('EM for Gaussian mixture: runni... |
github | wanglimin/PRML-master | mixBernoulliEm.m | .m | PRML-master/chapter09/mixBernoulliEm.m | 1,320 | utf_8 | af2c9bf17ed818ac5bef818b96e612dd | function [label, model, llh] = mixBernoulliEm(X, k)
% Perform EM algorithm for fitting the Bernoulli mixture model.
% X: d x n data matrix
% init: k (1 x 1) or label (1 x n, 1<=label(i)<=k) or center (d x k)
% Written by Michael Chen (sth4nth@gmail.com).
%% initialization
fprintf('EM for mixture model: runnin... |
github | wanglimin/PRML-master | mixLogit.m | .m | PRML-master/chapter14/mixLogit.m | 1,246 | utf_8 | bb492830472e1fd78ae03538f18ece22 | function [model, llh] = mixLogit(X, t, k)
% mixture of logistic regression model
n = size(X,2);
X = [X; ones(1,n)];
d = size(X,1);
z = ceil(k*rand(1,n));
R = full(sparse(1:n,z,1,n,k,n)); % n x k
W = zeros(d,k);
w0 = zeros(1,k);
tol = 1e-6;
maxiter = 100;
llh = -inf(1,maxiter);
converged = false;
iter = ... |
github | wanglimin/PRML-master | classLogitMul.m | .m | PRML-master/chapter04/classLogitMul.m | 1,935 | utf_8 | a96ae028da112f63209dc1d6f553b7a2 | function [model, llh] = classLogitMul(X, t, lambda, method)
% logistic regression for multiclass problem (Multinomial likelihood)
if nargin < 4
method = 1;
end
if nargin < 3
lambda = 1e-4;
end
X = [X; ones(1,size(X,2))];
if method == 1
[W, llh] = NewtonSolver(X, t, lambda);
else
[W, llh] = blockNewto... |
github | wanglimin/PRML-master | mixGaussVb.m | .m | PRML-master/chapter10/mixGaussVb.m | 5,547 | utf_8 | 89d7d4b89ffe28bcb43157b4182bc3f8 | function [label, model, L] = mixGaussVb(X, init, prior)
% Perform variational Bayesian inference for Gaussian mixture.
% X: d x n data matrix
% init: k (1 x 1) or label (1 x n, 1<=label(i)<=k) or center (d x k)
% Reference: Pattern Recognition and Machine Learning by Christopher M. Bishop (P.474)
% Written by ... |
github | Hom-Wang/MATLAB-master | main.m | .m | MATLAB-master/gui/progressBar/main.m | 565 | utf_8 | 3f2ed7b7bd079c80459253634a7faa43 | function main()
% start progressBar_gui
progressBar_gui();
% test progressBar_gui
for progress = 1 : 100
setProgressBar(progress);
pause(0.1);
end
end
function setProgressBar( progress )
global myProgressBar
index = fix((progress - 1) / 10) + 1;
for i = 1 : 10
if i > index
... |
github | Hom-Wang/MATLAB-master | progressBar_gui.m | .m | MATLAB-master/gui/progressBar/progressBar_gui.m | 1,605 | utf_8 | ea972dd475233cd783f464135b50c86a | function varargout = progressBar_gui(varargin)
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @progressBar_gui_OpeningFcn, ...
'gui_OutputFcn... |
github | Hom-Wang/MATLAB-master | pathCreater2D.m | .m | MATLAB-master/pathCreater/pathCreater2D.m | 2,072 | utf_8 | 9241194809b40c01ef7850f9bca95c58 |
% pos x1 x2 x3 ... dxn
% y1 y2 y3 ... dyn
% vmax --- v2 v3 ... vn
% --- a2 a3 ... an
% dt dt
%{
cpath = pathCreater(pos, vmax, dt);
pos = cpath(1:2, :);
vel = cpath(3:4, :);
acc = cpath(5:6, :);
head = cpath(7, :);
time = cpath(8, :);
%}
function cpath = pathCreater2D( pos, vmax, dt )... |
github | Hom-Wang/MATLAB-master | kGifConv.m | .m | MATLAB-master/cov2GIF/kGifConv.m | 903 | utf_8 | e4a3b06840763347bd4713a9b37845c2 | classdef kGifConv < handle
properties (SetAccess = public)
filename = 'k.gif';
rgbColors = 128;
dt = 0.2;
end
properties (SetAccess = private)
frames = getframe(1);
count = 0;
end
methods
function kgif = kGifConv( filename )
kgif.filename = filename;
end
function conv( kgif )
fo... |
github | Hom-Wang/MATLAB-master | FibonacciLatticeGetMininumDistance.m | .m | MATLAB-master/fibonacciLattice/FibonacciLatticeGetMininumDistance.m | 302 | utf_8 | e41b4c25ab7d62867ceda4564ca9e119 |
function varargout = FibonacciLatticeGetMininumDistance(p)
num = size(p, 2);
pd = zeros(1, num);
for i = 1 : num
v = p - p(:, i);
v(:, i) = [];
d = sqrt(sum(v.*v));
pd(i) = min(d);
end
varargout = {[max(pd), min(pd), max(pd) - min(pd)], pd};
end
|
github | Hom-Wang/MATLAB-master | FibonacciLatticeDisk.m | .m | MATLAB-master/fibonacciLattice/FibonacciLatticeDisk.m | 259 | utf_8 | b0e50ac75201b9227b8be714199cf6e8 |
function varargout = FibonacciLatticeDisk(num)
p = FibonacciLattice(num);
theta = 2 * pi * p(1, :);
radius = sqrt(p(2, :));
x = radius .* cos(theta);
y = radius .* sin(theta);
p = [x; y];
varargout = {p, [radius; theta]};
end
|
github | Hom-Wang/MATLAB-master | FibonacciLattice.m | .m | MATLAB-master/fibonacciLattice/FibonacciLattice.m | 373 | utf_8 | 26145c8676551e04e6592ac54983bb19 |
% reference
% http://extremelearning.com.au/how-to-evenly-distribute-points-on-a-sphere-more-effectively-than-the-canonical-fibonacci-lattice/
function varargout = FibonacciLattice(num)
goldenRatio = (sqrt(5) + 1) / 2;
i = 0 : (num - 1);
s = i ./ goldenRatio;
x = s - fix(s);
y = i ./ num;
p ... |
github | Hom-Wang/MATLAB-master | FibonacciLatticeSphere.m | .m | MATLAB-master/fibonacciLattice/FibonacciLatticeSphere.m | 1,028 | utf_8 | 52b687c394e0fab8f590616874923817 |
function varargout = FibonacciLatticeSphere(varargin)
num = varargin{1};
if nargin > 1
mode = varargin{2};
else
mode = 1; % default mode
end
[p, i] = FibonacciLattice(num);
theta = 2 * pi * p(1, :);
switch mode
case 0
phi = acos(1 - 2 * p(2, :));
... |
github | ShaharKatz/Caffe-Data-Augmentation-master | classification_demo.m | .m | Caffe-Data-Augmentation-master/matlab/demo/classification_demo.m | 5,412 | utf_8 | 8f46deabe6cde287c4759f3bc8b7f819 | function [scores, maxlabel] = classification_demo(im, use_gpu)
% [scores, maxlabel] = classification_demo(im, use_gpu)
%
% Image classification demo using BVLC CaffeNet.
%
% IMPORTANT: before you run this demo, you should download BVLC CaffeNet
% from Model Zoo (http://caffe.berkeleyvision.org/model_zoo.html)
%
% *****... |
github | leinxx/SFCRF-master | plot_roc_train_test_valid.m | .m | SFCRF-master/plot_roc_train_test_valid.m | 2,104 | utf_8 | 4c709375803dae694067e9dfbd9e382d | %refine all images in the data folder
%evaluation and run on all images with alpha = 0.5
% the alpha = 0.5 is selected by testing on 20101006. 0.5 produces slightly
% better results than 0.1 and 0.8
function plot_roc_train_test_valid()
fn_list = dir('data_croped/*xt.tif');
niter = 6;
datadir = 'data_croped/';
disp('tra... |
github | leinxx/SFCRF-master | pairwise_FSRFm.m | .m | SFCRF-master/pairwise_FSRFm.m | 2,879 | utf_8 | 87f6ff4d532e36b153cd09c5935a35a3 | function Iout = pairwise_FSRFm(I,I_rgb,mask,Paramsptr)
%RADARSAT-1 SCAN-SAR NARROW
% double L = 4;
%RADARSAT-1 SCAN-SAR WIDE
L = 21;
% ?
maxP = 3.3516;
%gets image dimensions
dims = size(I);
dimy = dims(1);
dimx = dims(2);
Ns = Paramsptr(1);
... |
github | jlian/matlab-particle-tracker-master | animate.m | .m | matlab-particle-tracker-master/lib/animate.m | 2,812 | utf_8 | 6e3619615dc7a18542fb0cccb205082d | function animate(y, T, param)
%% math
% makes animation of all the particles
L = 0.8636;
%% graphics
% set up first frame
figure('Color', 'white');
set(gcf,'Position',[100 678 640 360]);
%% animation sub plot
subplot(1,5,1);
% vertical line
plot([0;0],[0 L],'k');
hold on
par = plot(0,y(1,:),'sr','MarkerSize',3,'M... |
github | jlian/matlab-particle-tracker-master | pdftops.m | .m | matlab-particle-tracker-master/lib/export_fig/pdftops.m | 3,188 | utf_8 | eb7ee38e8e5d4b47aab7a7aa9d2208c4 | function varargout = pdftops(cmd)
%PDFTOPS Calls a local pdftops executable with the input command
%
% Example:
% [status result] = pdftops(cmd)
%
% Attempts to locate a pdftops executable, finally asking the user to
% specify the directory pdftops was installed into. The resulting path is
% stored for futur... |
github | jlian/matlab-particle-tracker-master | isolate_axes.m | .m | matlab-particle-tracker-master/lib/export_fig/isolate_axes.m | 3,794 | utf_8 | b104d66dd4d36f35d275c4ef3d2f41cd | %ISOLATE_AXES Isolate the specified axes in a figure on their own
%
% Examples:
% fh = isolate_axes(ah)
% fh = isolate_axes(ah, vis)
%
% This function will create a new figure containing the axes/uipanels
% specified, and also their associated legends and colorbars. The objects
% specified must all be in th... |
github | jlian/matlab-particle-tracker-master | im2gif.m | .m | matlab-particle-tracker-master/lib/export_fig/im2gif.m | 7,300 | utf_8 | e4050e3535a34ee0477cc422d9015035 | %IM2GIF Convert a multiframe image to an animated GIF file
%
% Examples:
% im2gif infile
% im2gif infile outfile
% im2gif(A, outfile)
% im2gif(..., '-nocrop')
% im2gif(..., '-nodither')
% im2gif(..., '-ncolors', n)
% im2gif(..., '-loops', n)
% im2gif(..., '-delay', n)
%
% This function c... |
github | jlian/matlab-particle-tracker-master | pdf2eps.m | .m | matlab-particle-tracker-master/lib/export_fig/pdf2eps.m | 1,525 | utf_8 | 9b46432b206f5e1d2f60051a8fb16247 | %PDF2EPS Convert a pdf file to eps format using pdftops
%
% Examples:
% pdf2eps source dest
%
% This function converts a pdf file to eps format.
%
% This function requires that you have pdftops, from the Xpdf suite of
% functions, installed on your system. This can be downloaded from:
% http://www.foolabs.c... |
github | jlian/matlab-particle-tracker-master | print2array.m | .m | matlab-particle-tracker-master/lib/export_fig/print2array.m | 6,474 | utf_8 | 4ead930267fe61c9b2a87139ee559dc8 | %PRINT2ARRAY Exports a figure to an image array
%
% Examples:
% A = print2array
% A = print2array(figure_handle)
% A = print2array(figure_handle, resolution)
% A = print2array(figure_handle, resolution, renderer)
% [A bcol] = print2array(...)
%
% This function outputs a bitmap image of the given fig... |
github | jlian/matlab-particle-tracker-master | append_pdfs.m | .m | matlab-particle-tracker-master/lib/export_fig/append_pdfs.m | 2,061 | utf_8 | 9b03800f5871901f2aa9292d094ba0b2 | %APPEND_PDFS Appends/concatenates multiple PDF files
%
% Example:
% append_pdfs(output, input1, input2, ...)
% append_pdfs(output, input_list{:})
% append_pdfs test.pdf temp1.pdf temp2.pdf
%
% This function appends multiple PDF files to an existing PDF file, or
% concatenates them into a PDF file if the o... |
github | jlian/matlab-particle-tracker-master | using_hg2.m | .m | matlab-particle-tracker-master/lib/export_fig/using_hg2.m | 376 | utf_8 | 1caea78185e4f19e9fda588866a80c2f | %USING_HG2 Determine if the HG2 graphics pipeline is used
%
% tf = using_hg2(fig)
%
%IN:
% fig - handle to the figure in question.
%
%OUT:
% tf - boolean indicating whether the HG2 graphics pipeline is being used
% (true) or not (false).
function tf = using_hg2(fig)
try
tf = ~graphicsvers... |
github | jlian/matlab-particle-tracker-master | eps2pdf.m | .m | matlab-particle-tracker-master/lib/export_fig/eps2pdf.m | 5,149 | utf_8 | a76c49a222381133a3c337333bf6a983 | %EPS2PDF Convert an eps file to pdf format using ghostscript
%
% Examples:
% eps2pdf source dest
% eps2pdf(source, dest, crop)
% eps2pdf(source, dest, crop, append)
% eps2pdf(source, dest, crop, append, gray)
% eps2pdf(source, dest, crop, append, gray, quality)
%
% This function converts an eps file... |
github | jlian/matlab-particle-tracker-master | copyfig.m | .m | matlab-particle-tracker-master/lib/export_fig/copyfig.m | 846 | utf_8 | 8f479727f76b878a077b76ca7afed48e | %COPYFIG Create a copy of a figure, without changing the figure
%
% Examples:
% fh_new = copyfig(fh_old)
%
% This function will create a copy of a figure, but not change the figure,
% as copyobj sometimes does, e.g. by changing legends.
%
% IN:
% fh_old - The handle of the figure to be copied. Default: gc... |
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