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value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
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github | mdhumphries/NetworkNoiseRejection-master | LouvainCommunityUDnondeterm.m | .m | NetworkNoiseRejection-master/Network_Analysis_Functions/LouvainCommunityUDnondeterm.m | 8,306 | utf_8 | bcf6db2080b5086006dc8133ebd01737 | function [allC,allQ,allCn,allIters] = LouvainCommunityUDnondeterm(W,R,varargin)
% LOUVAINCOMMUNITYUDnondeterm Louvain community detection algorithm, undirected
% [C,Q,N,I] = LOUVAINCOMMUNITYUDnondeterm(W,R) for undirected, weighted network W; runs
% the Louvain community detection algorithm from Blondel et al (2008).
... |
github | mdhumphries/NetworkNoiseRejection-master | prep_A.m | .m | NetworkNoiseRejection-master/Network_Analysis_Functions/prep_A.m | 780 | utf_8 | 11ddb16a1035c6e17dce629d620f002c |
function [W,ixRetain,Comps,Comp_sizes] = prep_A(W)
% PREP_A get final weighted adjacency matrix
% [W*,I,C,S] = PREP_A(W) given the undiredted weighted adjacency matrix W,
% finds the largest component, and returns that as W*, the matrix to be
% used in all further analyses. Also returns:
% I: the index of retained n... |
github | mdhumphries/NetworkNoiseRejection-master | KKFR.m | .m | NetworkNoiseRejection-master/Traud_Mucha_Porter_CommunityVisualisation/KKFR.m | 17,239 | utf_8 | 78b96601be8d4f6917f7529dc2b5f760 | function [xynew]=KKFR(A,gn,epsilon, seed)
% This code follows the algorithm in the article written by Tomihisa Kamada
% and Satoru Kawai entitled "An Algorithm For Drawing General Undirected
% Graphs" while respecting individual communities. It uses the Fructerman
% and Reingold algorithm to place the nodes within ... |
github | mdhumphries/NetworkNoiseRejection-master | fruc_rein.m | .m | NetworkNoiseRejection-master/Traud_Mucha_Porter_CommunityVisualisation/fruc_rein.m | 2,258 | utf_8 | b009b89f770cc73d217e7e8e2bb95772 | function [xy] = fruc_rein(A,eps, seed)
% This function uses the Fruchterman-Reingold Algorithm to find the optimal
% node placement for a given network.
%
%Inputs:
%
% A is the adjacency matrix for the network
%
% eps is the accuracy at which the algorith will act, .01 works well in
% most cases.
%
%seed is the seed fo... |
github | mdhumphries/NetworkNoiseRejection-master | FRKK.m | .m | NetworkNoiseRejection-master/Traud_Mucha_Porter_CommunityVisualisation/FRKK.m | 14,897 | utf_8 | 5718459cb737accf3c12f56dffc9c4a9 | function [xynew, XY, xyc]=FRKK(A,gn,epsilon, seed, factor1, factor2)
% This function uses the Fruchterman-Reingold Algorithm to find the optimal
% node placement for a given network with respect to Communities. But then
% uses the Kamada Kawai algorithm to place the nodes within each community.
%
% Inputs:
%
% A is t... |
github | mdhumphries/NetworkNoiseRejection-master | drawForceCPie.m | .m | NetworkNoiseRejection-master/Traud_Mucha_Porter_CommunityVisualisation/drawForceCPie.m | 4,479 | utf_8 | a015d8b692b8cee22fd4800b35ceff7c | function drawForceCPie(A,XY,scores,gn)
gnu=unique(gn);
CAM=commAdjMatrixSparse(gn,A);
map=colormap;
if min(scores)==0
map=[.7 .7 .7; map];
end
colorsu=unique(scores);
% colorsu(2:end)=colorsu(randperm(length(colorsu)-1)+1);
% scores2=zeros(size(scores));
% for i=1:length(colorsu);
% scores2(find(scores==color... |
github | mdhumphries/NetworkNoiseRejection-master | Kamada.m | .m | NetworkNoiseRejection-master/Traud_Mucha_Porter_CommunityVisualisation/Kamada.m | 5,546 | utf_8 | 68b77d7040ad0b98de9e4633018c84dc | function xynew = Kamada(A,epsilon)
% This code follows the algorithm in the article written by Tomihisa Kamada
% and Satoru Kawai entitled "An Algorithm For Drawing General Undirected
% Graphs."
%
% Inputs:
%
% A is the adjacency matrix of your network
%
% epsilon is the accuracy at which the algorithm acts, .01 works ... |
github | mdhumphries/NetworkNoiseRejection-master | KamadaC.m | .m | NetworkNoiseRejection-master/Traud_Mucha_Porter_CommunityVisualisation/KamadaC.m | 12,381 | utf_8 | 8226f28985df1237a6b9a32bf74baec9 | function [xynew]=KamadaC(A,gn,epsilon)
% This code follows the algorithm in the article written by Tomihisa Kamada
% and Satoru Kawai entitled "An Algorithm For Drawing General Undirected
% Graphs" while respecting individual communities.
%
% This code outputs the xy coordinants for the nodes of a given network
% A i... |
github | mdhumphries/NetworkNoiseRejection-master | fruc_reinC.m | .m | NetworkNoiseRejection-master/Traud_Mucha_Porter_CommunityVisualisation/fruc_reinC.m | 11,791 | utf_8 | 81e65e30bad5ca50265d954462535985 | function [xynew, XY, xyc] = fruc_reinC(A, gn, epsilon, seed, factor1, factor2)
% This function uses the Fruchterman-Reingold Algorithm to find the optimal
% node placement for a given network with respect to Communities.
% Inputs:
%
% A is the adjacency matrix for the network
%
% gn are a vector of group numbers, i.e.... |
github | mdhumphries/NetworkNoiseRejection-master | weight_edges.m | .m | NetworkNoiseRejection-master/SyntheticModel/weight_edges.m | 4,319 | utf_8 | cca7d52d112b2c5c63a79174d6aab001 | function [W,varargout] = weight_edges(A,N,S,alpha,P)
% WEIGHT_EDGES assign weights to edges given strength sequence
% W = WEIGHT_EDGES(A,N,S,ALPHA) creates a weight matrix for a network, given
% a n*n adjacency matrix A (entries {0,1}), the set
% of sizes of each of the G modules N = [N1,N2,..,NG], and a n-length str... |
github | mdhumphries/NetworkNoiseRejection-master | weight_edges_noise.m | .m | NetworkNoiseRejection-master/SyntheticModel/weight_edges_noise.m | 2,191 | utf_8 | 17f18c5ad46ca96ba9771616e193be4f | function [W] = weight_edges_noise(A,S)
% WEIGHT_EDGES_NOISE assign weights to edges given strength sequence
% W = WEIGHT_EDGES_NOISE(A,S) creates a weight matrix for a network, given
% a n*n adjacency matrix A (entries {0,1}), and a n-length strength sequence
% S.
%
% Returns the n*n weight matrix W
%
%
% Notes:
% ... |
github | mdhumphries/NetworkNoiseRejection-master | setup_distr.m | .m | NetworkNoiseRejection-master/WSBM_v1.2/setup_distr.m | 24,246 | utf_8 | 35cfd82192b95a0b5a03a79981fdba4a | function [Distr] = setup_distr(distr_name,distr_prior,distr_para)
%SETUP_DISTR creates a Distr Struct.
% This is for advanced users.
%
% Syntax:
% [Distr] = setup_distr(distr_name,distr_prior,distr_para)
%
% SETUP_DISTR is used to create Distr Structs for wsbm and generateEdges.
% It can be used to creat... |
github | mdhumphries/NetworkNoiseRejection-master | wsbm_driver.m | .m | NetworkNoiseRejection-master/WSBM_v1.2/private/wsbm_driver.m | 24,295 | utf_8 | f42d8b02abacff3f820f48f08f3a4415 | function [Model] = wsbm_driver(Raw_Data,R_Struct,varargin)
% See 'help wsbm.m' or 'type wsbm.m' for information
%-------------------------------------------------------------------------%
% WSBM_Driver
% Version 1.0 | December 2013 | Christopher Aicher
%
% Copyright 2013-2014 Christopher Aicher
%
% This program is... |
github | mdhumphries/NetworkNoiseRejection-master | main_alg.m | .m | NetworkNoiseRejection-master/WSBM_v1.2/private/main_alg.m | 13,994 | utf_8 | 0d364cb89ee6f3a0fc4e94914a33b5b9 | function [Para,Flags] = main_alg(Data,W_Distr,E_Distr,R_Struct,Seed,Options)
%MAIN_ALG is a single run of a variational algorithm to infer the
% parameters of the WSBM using a specified weight (W_Distr) and
% edge (E_Distr) distribution and partitioning (R_Struct).
%
% The algorithm consists of two nested-loops.
... |
github | mdhumphries/NetworkNoiseRejection-master | allevsplitConTransitive.m | .m | NetworkNoiseRejection-master/DevelopmentScripts/allevsplitConTransitive.m | 15,063 | utf_8 | 6c6040f549455c17744bab595bf9abaa | function [grps,Qmax,grpscon,Qcon,ctr,maxQ,varargout] = allevsplitConTransitive(A,varargin)
% ALLEVSPLITCONTRANSITIVE partition graph eigenvectors of modularity matrix (with consensus)
% [C,Qmax,Ccon,Qc,N,Q] = ALLEVSPLITCONTRANSITIVE(A) splits the vertices of the graph in adjacency matrix
% A into multiple group... |
github | mdhumphries/NetworkNoiseRejection-master | F_EmpiricalRndMat.m | .m | NetworkNoiseRejection-master/DevelopmentScripts/F_EmpiricalRndMat.m | 3,162 | utf_8 | 8a0453deae2f1e208a3f4bfa5bbc65bb | % clear all
% close all
%
% % % **********************
% load Sep2711da01_40_120s_Sxy_Gaussian_1s
% A = Sxyall{1};
% load polblogs
% A = Problem.A;
% N=1;
% nrep = 10;
% % **********************
% % %%
% % % For negative weigthed matrix
% % original = (rand(15)-.5)*3;
% % mi = min(original(:));
% % orig = original - ... |
github | prajesh93/Matlab-master | Haar.m | .m | Matlab-master/Haar/Haar.m | 2,714 | utf_8 | 62c9fb17d06d633fcdf452c7676122d6 | %{
Author: Prajesh Jhumkhawala
%}
function Haar(img)
%{
This function performs image compression on the image provided.
It is based on the approach suggested by
Colm Mulcahy in Image compression using the Haar wavelet transform
( https://www.eecis.udel.edu/~amer/CISC651/Haar.wavelets.paper.by.Mulcahy.pdf )
%... |
github | prajesh93/Matlab-master | HOG_Feature_Matching.m | .m | Matlab-master/HOG/HOG_Feature_Matching.m | 5,904 | utf_8 | 5e18fc1011445c357b9db7a1153be456 | %{
Author: Prajesh Jhumkhawala
%}
function HOG_Feature_Matching(image1,image2)
%{
This function is the main function which calls other sub functions to
perform feature mathing of the two images. We have pre-identified 5 key
points which are the strongest feature points in the two images.
You can al... |
github | prajesh93/Matlab-master | Hybrid1.m | .m | Matlab-master/Hybrid/Hybrid1.m | 3,011 | utf_8 | aa92ae6294f0ff04c07b0ee03a0c8fcc | %{
Author: Prajesh Jhumkhawala
%}
function Hybrid1(filename,filename2)
%{
This function is the main function and calls the subfunctionsto
generate the Hybrid image og the two supplied images.
%}
close all;
h=hybridImage(filename,filename2);
imshow(h);
title('HYBRID');
end
%Function to calculate the DFFT o... |
github | prajesh93/Matlab-master | DCT.m | .m | Matlab-master/DCT/DCT.m | 770 | utf_8 | 590c6c40e04301e4c3ebee7ce4658638 |
%{
Author: Prajesh Jhumkhawala
%}
function DCT(Filename)
%{
This function generates the discrete cosine transform for the image and
then regenerates the image from the generated DCT of the image.
%}
close all;
I=double(rgb2gray(imread(Filename)));
Y=DCT_dimen(I);
A=Y*I*Y';
imshow(A);
title('Discrete Cosin... |
github | prajesh93/Matlab-master | CartoonImage.m | .m | Matlab-master/Cartoon Image/CartoonImage.m | 6,995 | utf_8 | 98f15ee4154041df50dff9f40af48b4f | %{
Author: Prajesh Jhumkhawala
%}
function CartoonImage(image)
%{
This function contains all the function required to generate the
cartoon image. It will also calculate the RMSE of both Bilaterat Filter
and Canny Edge Detection.
%}
close all;
tic;
img= imread(image);
img=imresize(img,[267 400]);
img = i... |
github | orlitany/manifold_L21-master | prox_l21.m | .m | manifold_L21-master/prox_l21.m | 150 | utf_8 | 617a0c426881728655e5051cc3e12d30 | %% The L2,1 proximal operator
function V_new = prox_l21(V,c)
alpha = max(0,1 - c./sqrt(sum(V.^2,1)));
V_new = V*diag(alpha);
end |
github | joeyzhu0422/puke-reco-master | make.m | .m | puke-reco-master/matlab/make.m | 888 | utf_8 | 4a2ad69e765736f8cca8e3b721fb7ebd | % This make.m is for MATLAB and OCTAVE under Windows, Mac, and Unix
function make()
try
% This part is for OCTAVE
if (exist ('OCTAVE_VERSION', 'builtin'))
mex libsvmread.c
mex libsvmwrite.c
mex -I.. svmtrain.c ../svm.cpp svm_model_matlab.c
mex -I.. svmpredict.c ../svm.cpp svm_model_matlab.c
% This part is fo... |
github | xunilrj/sandbox-master | exercise.01.002.017.m | .m | sandbox-master/books/FundamentalsMatrixComputations/exercise.01.002.017.m | 1,055 | utf_8 | e1d8d539e319a3c38cf99ad7f1701580 | warning('off','all');
pkg load symbolic
function result = newxi(i) result = sym(["u" num2str(i)]); endfunction
x = arrayfun(@newxi, 0:8);
l1 = ((x(4)-x(1))/0.1) - ((x(1)-x(2))/0.5)
l2 = ((x(1)-x(2))/0.5) - ((x(5)-x(2))/0.5) - ((x(2)-x(3))/0.2)
l3 = ((x(2)-x(3))/0.2) - ((x(6)-x(3))/0.1)
l4 = ((x(7)-x(4))/0.2) - ((x(4)... |
github | xunilrj/sandbox-master | exercise.01.002.016.m | .m | sandbox-master/books/FundamentalsMatrixComputations/exercise.01.002.016.m | 859 | utf_8 | 91e4f5c19385da77c8df8ae53b609c72 | warning('off','all');
pkg load symbolic;
function result = newui(i) result = sym(["u" num2str(i)]); endfunction
function result = formula(m)
syms x c d;
u = arrayfun(@newui, 0:m);
h = 1/m;
A = zeros(m,m)*x;
for i=2:m
result = (-u(i+1) + 2*u(i) - u(i-1))/(h*h);
result += -... |
github | xunilrj/sandbox-master | Trmv_ln_unb_var1.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Trmv_ln_unb_var1.m | 1,768 | utf_8 | b46eb84bc161c7c54e91c5e1d2116915 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ x_out ... |
github | xunilrj/sandbox-master | Dot_unb.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Dot_unb.m | 1,591 | utf_8 | d4d89a35fd081a0f00c4b048dd4dee3b |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ alpha_... |
github | xunilrj/sandbox-master | Utrsv_unb_var1.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Utrsv_unb_var1.m | 1,797 | utf_8 | 28dcb7e1bf2699e83aa0ebc26a4e8730 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ b_out ... |
github | xunilrj/sandbox-master | Trmvp_ln_unb_var1.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Trmvp_ln_unb_var1.m | 2,228 | utf_8 | 5c72ddcb2f389201a57b9788a82933ff |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ y_out ... |
github | xunilrj/sandbox-master | Trmv_un_unb_var2.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Trmv_un_unb_var2.m | 1,788 | utf_8 | 2389da552f28f936fa4d50751b4e9b66 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ x_out ... |
github | xunilrj/sandbox-master | UpperTriangularMatrix_unb.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/UpperTriangularMatrix_unb.m | 1,281 | utf_8 | 3c5e11af17f55f67027bfca9b85288f9 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ A_out ... |
github | xunilrj/sandbox-master | Symv_u_unb_var1.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Symv_u_unb_var1.m | 2,233 | utf_8 | d4ea06d740c2273ab3ef23debaa50ba0 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ y_out ... |
github | xunilrj/sandbox-master | Symv_l_unb_var1.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Symv_l_unb_var1.m | 2,301 | utf_8 | 885b4fdbfbc9559bc86f7328fafba526 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ y_out ... |
github | xunilrj/sandbox-master | Trmvp_un_unb_var1.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Trmvp_un_unb_var1.m | 2,256 | utf_8 | 0c1fe226a97269adb01b606400812559 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ y_out ... |
github | xunilrj/sandbox-master | Mvmult_n_unb_var2B.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Mvmult_n_unb_var2B.m | 2,296 | utf_8 | ddefa3ddc8f3fbc4255c921befeee41b |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ c_out ... |
github | xunilrj/sandbox-master | Symv_l_unb_var2.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Symv_l_unb_var2.m | 2,277 | utf_8 | b01a38b86b9f1b7e6d4e70725d04f82c |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ y_out ... |
github | xunilrj/sandbox-master | Trmv_ln_unb_var2.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Trmv_ln_unb_var2.m | 1,777 | utf_8 | 9e952d367f69b3d193f059c46302b54e |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ x_out ... |
github | xunilrj/sandbox-master | ForwardSubstitution.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/ForwardSubstitution.m | 1,759 | utf_8 | 0c5acf8e6d3d2867222534481ea798b2 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ b_out ... |
github | xunilrj/sandbox-master | Ltrsv_unb_var1.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Ltrsv_unb_var1.m | 1,754 | utf_8 | 47721c613a73be4d96b48149602a1940 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ b_out ... |
github | xunilrj/sandbox-master | Axpy_unb.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Axpy_unb.m | 1,577 | utf_8 | 2790ff0a9e366cd4bbfed5c6469f9df5 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ c_out ... |
github | xunilrj/sandbox-master | Trmvp_ln_unb_var2.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Trmvp_ln_unb_var2.m | 2,245 | utf_8 | 490909ab6f9c8f64960beac86dc8a87c |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ y_out ... |
github | xunilrj/sandbox-master | Trmv_un_unb_var1.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Trmv_un_unb_var1.m | 1,800 | utf_8 | 27e30a5043960a3e7137e95006a15987 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ x_out ... |
github | xunilrj/sandbox-master | Symv_u_unb_var2.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Symv_u_unb_var2.m | 2,281 | utf_8 | 8995e6b2b8f94b6b5fdf7938c30936bb |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ y_out ... |
github | xunilrj/sandbox-master | Trtrmm_unb_var1 (1).m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Trtrmm_unb_var1 (1).m | 2,797 | utf_8 | caf0e088be651fd7f6215e351255cdba |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ C_out ... |
github | xunilrj/sandbox-master | DiagonalMatrix_unb.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/DiagonalMatrix_unb.m | 1,797 | utf_8 | 534e3fe346f012c72d6a5a5bfb86e0cd |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ A_out ... |
github | xunilrj/sandbox-master | Multv_n_unb_var2.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Multv_n_unb_var2.m | 1,383 | utf_8 | 750c12da5ae44626683b1f1289817499 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ c_out ... |
github | xunilrj/sandbox-master | LU_unb_var5.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/LU_unb_var5.m | 1,323 | utf_8 | 3069fdbc6b4d3ec6251111c0cfebbd57 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ A_out ... |
github | xunilrj/sandbox-master | Mvmult_t_unb_var1.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Mvmult_t_unb_var1.m | 1,431 | utf_8 | 484c3286da8a02206d35ee57e5574d28 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ c_out ... |
github | xunilrj/sandbox-master | Mvmult_t_unb_var2.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Mvmult_t_unb_var2.m | 1,529 | utf_8 | b119d2d55c0d2ad84010e86cdc756a64 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ c_out ... |
github | xunilrj/sandbox-master | Trmvp_un_unb_var2.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/Trmvp_un_unb_var2.m | 2,254 | utf_8 | 37ef87c492c32c5e9e5c938af3d64416 |
% Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ y_out ... |
github | xunilrj/sandbox-master | ZeroMatrix_unb.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/ZeroMatrix_unb.m | 902 | utf_8 | 1c3250a3694cb872a21509bce5100e2d | % Copyright 2017 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ A_out ]... |
github | xunilrj/sandbox-master | Dot_unb.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/LAFF-2.0xM/Answers/Week01/Dot_unb.m | 1,582 | utf_8 | 78b2b8d6edee1baf16179ad0d0249846 |
% Copyright 2015 The University of Texas at Austin
%
% For licensing information see
% http://www.cs.utexas.edu/users/flame/license.html
%
% Programmed by: Name of author
% Email of author
function [ alpha_... |
github | xunilrj/sandbox-master | mvmult_unb_var2.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/LAFF-2.0xM/Answers/Week03/mvmult_unb_var2.m | 1,110 | utf_8 | 6a535ccfb144e5fb96b0e92eb846752c | \begin{verbatim}
function [ y_out ] = Mvmult_n_unb_var2( A, x, y )
[ AL, AR ] = FLA_Part_1x2( A, ...
0, 'FLA_LEFT' );
[ xT, ...
xB ] = FLA_Part_2x1( x, ...
0, 'FLA_TOP' );
while ( size( AL, 2 ) < size( A, 2 ) )
[ A0, a1, A2 ]= FLA_Repart_1x2_to_1... |
github | xunilrj/sandbox-master | PrintMMProblem.m | .m | sandbox-master/courses/university-of-texas-linear-algebra/LAFF-2.0xM/Programming/Week04/PrintMMProblem.m | 1,655 | utf_8 | e41b97af2cc4e9c224e1291f1e0f8be8 |
function [ error ] = PrintMMProblem( A, B )
output_string = '';
col = 1;
[ m_A, n_A ] = size( A );
[ m_B, n_B ] = size( B );
for i=1:max( m_A, m_B )
if m_A == 1 & i== 1
outstring = '< ';
elseif i == 1
outstring = '/ ';
elseif i==m_A
outstring = '\ ';
elseif i<m_A
outs... |
github | xunilrj/sandbox-master | conv2.m | .m | sandbox-master/courses/NewYorkBuffalo-ComputerVision/conv2.m | 2,583 | utf_8 | db6e9942754863d685d9d18a6e748613 | %read the image
img = imread('Davis_Hall.jpg');
I = rgb2gray(img);
Gx = [-1 0 1; -2 0 2;-1 0 1];
Gy = [-1 -2 -1; 0 0 0;1 2 1];
Fx = myConv2(I, Gx, 'same');
Fy = myConv2(I, Gy, 'same');
FMag = sqrt(Fx.*Fx + Fy.*Fy);
%uncomment the code as needed
figure
imshow(I);
title('Original Image');
figure
imshow((abs(Fx))./... |
github | xunilrj/sandbox-master | colorTransfer.m | .m | sandbox-master/courses/NewYorkBuffalo-ComputerVision/colorTransfer.m | 850 | utf_8 | 915d9398439a62694c89359336366a1a |
% based on
% Reinhard, Erik, et al. "Color transfer between images."
% IEEE Computer graphics and applications 21.5 (2001): 34-41.
% https://ieeexplore.ieee.org/abstract/document/946629
function outChannel = colortransfer(sourceChannel,targetChannel)
sourceMean = mean(sourceChannel(:));
sourceStDev = std(sou... |
github | xunilrj/sandbox-master | GaussianLaplace.m | .m | sandbox-master/courses/NewYorkBuffalo-ComputerVision/GaussianLaplace.m | 2,980 | utf_8 | 032b9d336cf155cc3f6d6c8033accad6 | % Feature Extraction and Image Processing
% ISBN: 9780750650786
%
% 3.4.4 Gaussian averaging operator
% The Gaussian averaging operator has been considered to be optimal
% for image smoothing. The template for the Gaussian operator has
% values set by the Gaussian relationship. The Gaussian function
% g at co-ordinates... |
github | riyueshi/ocamcalib-plus-master | reprojectpoints.m | .m | ocamcalib-plus-master/ocamcalib/reprojectpoints.m | 2,182 | utf_8 | 74657103c52c8e95c0e8a8a66afe85e7 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | omni_find_extrs_parameters.m | .m | ocamcalib-plus-master/ocamcalib/omni_find_extrs_parameters.m | 2,314 | utf_8 | ec32b7900aa698fa625f5002a8594784 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | findinvpoly.m | .m | ocamcalib-plus-master/ocamcalib/findinvpoly.m | 1,757 | utf_8 | 2f701c21b6e7a02305a3e67ead605792 | %FINDINVPOLY finds the inverse polynomial specified in the argument.
% [POL, ERR, N] = FINDINVPOLY(SS, RADIUS, N) finds an approximation of the inverse polynomial specified in OCAM_MODEL.SS.
% The returned polynomial POL is used in WORLD2CAM_FAST to compute the reprojected point very efficiently.
%
% SS is... |
github | riyueshi/ocamcalib-plus-master | cam2world.m | .m | ocamcalib-plus-master/ocamcalib/cam2world.m | 1,257 | utf_8 | 1d8c75bf4c75ba7bd59936766d27c765 | %CAM2WORLD Project a give pixel point onto the unit sphere
% M=CAM2WORLD=(m, ocam_model) returns the 3D coordinates of the vector
% emanating from the single effective viewpoint on the unit sphere
%
% m=[rows;cols] is a 2xN matrix containing the pixel coordinates of the image
% points.
%
% "ocam_model"... |
github | riyueshi/ocamcalib-plus-master | calibration.m | .m | ocamcalib-plus-master/ocamcalib/calibration.m | 2,638 | utf_8 | 2494347e428dbfa6094c0cae811352de | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | prova.m | .m | ocamcalib-plus-master/ocamcalib/prova.m | 1,410 | utf_8 | f7dd42a985c1d2a038cde5de210d209e | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | click_ima_calib.m | .m | ocamcalib-plus-master/ocamcalib/click_ima_calib.m | 2,623 | utf_8 | f536648df272c9e7eef22b6eb93d54d2 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | world2cam.m | .m | ocamcalib-plus-master/ocamcalib/world2cam.m | 865 | utf_8 | b6b96b90083850c280990ca7ce31dfb5 | %WORLD2CAM projects a 3D point on to the image
% m=WORLD2CAM(M, ocam_model) projects a 3D point on to the
% image and returns the pixel coordinates.
%
% M is a 3xN matrix containing the coordinates of the 3D points: M=[X;Y;Z]
% "ocam_model" contains the model of the calibrated camera.
% m=[rows;cols]... |
github | riyueshi/ocamcalib-plus-master | reproject_calib.m | .m | ocamcalib-plus-master/ocamcalib/reproject_calib.m | 4,319 | utf_8 | 7cf43f30a53be8022b1a89ce4ec3f5ce | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | ocam_calib_gui.m | .m | ocamcalib-plus-master/ocamcalib/ocam_calib_gui.m | 4,504 | utf_8 | ac35e2d83608b6d598a166ea4b5069f7 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | calibrate.m | .m | ocamcalib-plus-master/ocamcalib/calibrate.m | 9,896 | utf_8 | 88271ec7d1ba7c839b689d68b47a7fed | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as pub... |
github | riyueshi/ocamcalib-plus-master | data_calib.m | .m | ocamcalib-plus-master/ocamcalib/data_calib.m | 2,969 | utf_8 | a1f921ce379e6a3f14ddcbffffdc766f | %%% This function lets the user enter the name of the images (base name, numbering scheme,...
function data_calib(calib_data)
%clear all;
set_up_global;
% Checks that there are some images in the directory:
l_ras = dir('*ras');
s_ras = size(l_ras,1);
l_bmp = dir('*bmp');
s_bmp = size(l_bmp,1);
l_tif = dir(... |
github | riyueshi/ocamcalib-plus-master | check_directory.m | .m | ocamcalib-plus-master/ocamcalib/check_directory.m | 5,221 | utf_8 | 8939ecc9768879a0eb4b046d6e9ff5df | % This small script looks in the direcory and checks if the images are there.
%
% This works only on Matlab 5.x (otherwise, the dir commands works differently)
% (c) Jean-Yves Bouguet - Dec. 27th, 1999
function [Nima_valid,image_numbers, type_numbering, N_slots] = check_directory(calib_data)
l = dir([calib_da... |
github | riyueshi/ocamcalib-plus-master | analyse_error.m | .m | ocamcalib-plus-master/ocamcalib/analyse_error.m | 2,786 | utf_8 | 62412b20b592518c9eb3287351414c4b | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | undistort.m | .m | ocamcalib-plus-master/ocamcalib/undistort.m | 2,066 | utf_8 | 2e1bb21e20a82fdfead475d875066ae6 | %UNDISTORT unwrap part of the image onto a plane perpendicular to the
%camera axis
% B = UNDISTORT(OCAM_MODEL, A, FC, DISPLAY)
% A is the input image
% FC is a factor proportional to the distance of the camera to the plane;
% start with FC=5 and then tune the parameter to change the result.
% DISPLAY vi... |
github | riyueshi/ocamcalib-plus-master | prova3.m | .m | ocamcalib-plus-master/ocamcalib/prova3.m | 1,471 | utf_8 | c42d1d08e6c22cd8aa5e37ce8499a5a4 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | ginput3.m | .m | ocamcalib-plus-master/ocamcalib/ginput3.m | 6,556 | utf_8 | b3d2253490baacd3934a082abf1c4939 | function [out1,out2,out3] = ginput2(arg1)
%GINPUT Graphical input from mouse.
% [X,Y] = GINPUT(N) gets N points from the current axes and returns
% the X- and Y-coordinates in length N vectors X and Y. The cursor
% can be positioned using a mouse (or by using the Arrow Keys on some
% systems). Data poi... |
github | riyueshi/ocamcalib-plus-master | optimizefunction.m | .m | ocamcalib-plus-master/ocamcalib/optimizefunction.m | 6,589 | utf_8 | b4b280e3f63c6b558f792ef27af9a70b | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as pub... |
github | riyueshi/ocamcalib-plus-master | recomp_corner_calib.m | .m | ocamcalib-plus-master/ocamcalib/recomp_corner_calib.m | 2,911 | utf_8 | 0af3a390138923544f8c55efe71b42c6 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | click_calib.m | .m | ocamcalib-plus-master/ocamcalib/click_calib.m | 10,618 | utf_8 | 8446c4ada3ebab6b9e48bb985c57b3d6 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licen... |
github | riyueshi/ocamcalib-plus-master | loadppm.m | .m | ocamcalib-plus-master/ocamcalib/loadppm.m | 2,469 | utf_8 | 4b23c0e57d2cf050948e49583e7b8b94 | %LOADPPM Load a PPM image
%
% I = loadppm(filename)
%
% Returns a matrix containing the image loaded from the PPM format
% file filename. Handles ASCII (P3) and binary (P6) PPM file formats.
%
% If the filename has no extension, and open fails, a '.ppm' and
% '.pnm' extension will be tried.
%
% SEE ALSO: sav... |
github | riyueshi/ocamcalib-plus-master | prova1.m | .m | ocamcalib-plus-master/ocamcalib/prova1.m | 1,317 | utf_8 | 4ac119d37be48562c7d96dddd415f283 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | get_checkerboard_corners.m | .m | ocamcalib-plus-master/ocamcalib/get_checkerboard_corners.m | 18,568 | utf_8 | 9c93c0bcd7e3b747c17e4bc556c5a9f6 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2009 Davide Scaramuzza
%
% 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 vers... |
github | riyueshi/ocamcalib-plus-master | generate_sim_points.m | .m | ocamcalib-plus-master/ocamcalib/generate_sim_points.m | 1,444 | utf_8 | 34ab139e158577bf49d7b7cf8cc943a5 | %CREATE_SIMULATION_POINTS
% This script generates a simulation setup for calibrating a simulated
% omnidirectional sensor, whose both intrinsic and extrinsic parameters
% can be arbitrarily chosen by the user according to a real arrangement .
% The following script must be executed before running the script... |
github | riyueshi/ocamcalib-plus-master | imunwrap.m | .m | ocamcalib-plus-master/ocamcalib/imunwrap.m | 2,166 | utf_8 | a0a1363ec3bdfc4c896047253327e999 | %IMUNWRAP Unwrap an omnidirectional image into a cylindrical panorama
%(cartesian to polar transformation).
% uI = IMUNWRAP(I, center, Rmax, Rmin, bilinear)
% I = input color image
% center = coordinates of the circle center, center=[col;row]
% Rmax = external radius of the omnidirectional image
% Rmin = inne... |
github | riyueshi/ocamcalib-plus-master | click_ima_calib_rufli.m | .m | ocamcalib-plus-master/ocamcalib/click_ima_calib_rufli.m | 26,466 | utf_8 | 68f9b74df2aa47db134c10fca79add22 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2007 MARTIN RUFLI
%
% Initially written by Martin Rufli and modified by Davide Scaramuzza
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Pub... |
github | riyueshi/ocamcalib-plus-master | prova2.m | .m | ocamcalib-plus-master/ocamcalib/prova2.m | 1,458 | utf_8 | 385a57d54eaff336c457572c9405274d | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | create_simulation_points.m | .m | ocamcalib-plus-master/ocamcalib/create_simulation_points.m | 4,340 | utf_8 | ea593d0ced448b818c42f4e3fcb423a0 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | findcenter.m | .m | ocamcalib-plus-master/ocamcalib/findcenter.m | 4,352 | utf_8 | d9e1b8676e5dd1d59f920dce8e09b1d4 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | world2cam_fast.m | .m | ocamcalib-plus-master/ocamcalib/world2cam_fast.m | 1,444 | utf_8 | 7fe396c4d464383aadef693a9cfed55e | %WORLD2CAM projects a 3D point on to the image
% m=WORLD2CAM_FAST(M, ocam_model) projects a 3D point on to the
% image and returns the pixel coordinates. This function uses an approximation of the inverse
% polynomial to compute the reprojected point. Therefore it is very fast.
%
% M is a 3xN matrix con... |
github | riyueshi/ocamcalib-plus-master | prova_all.m | .m | ocamcalib-plus-master/ocamcalib/prova_all.m | 1,692 | utf_8 | ea3cd13402211696f4dfc343040f7ae9 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | loadpgm.m | .m | ocamcalib-plus-master/ocamcalib/loadpgm.m | 1,927 | utf_8 | 009ef1c0b3ff776f2fa331b119a5fff1 | %LOADPGM Load a PGM image
%
% I = loadpgm(filename)
%
% Returns a matrix containing the image loaded from the PGM format
% file filename. Handles ASCII (P2) and binary (P5) PGM file formats.
%
% If the filename has no extension, and open fails, a '.pgm' will
% be appended.
%
%
% Copyright (c) Peter Corke, 1... |
github | riyueshi/ocamcalib-plus-master | optimizefunction_old.m | .m | ocamcalib-plus-master/ocamcalib/optimizefunction_old.m | 5,486 | utf_8 | 514a977ec9842ff4c877623a0b763f3b | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2006 DAVIDE SCARAMUZZA
%
% Author: Davide Scaramuzza - email: davsca@tiscali.it
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
github | riyueshi/ocamcalib-plus-master | findinvpoly.m | .m | ocamcalib-plus-master/undistortFunctions/findinvpoly.m | 1,757 | utf_8 | 2f701c21b6e7a02305a3e67ead605792 | %FINDINVPOLY finds the inverse polynomial specified in the argument.
% [POL, ERR, N] = FINDINVPOLY(SS, RADIUS, N) finds an approximation of the inverse polynomial specified in OCAM_MODEL.SS.
% The returned polynomial POL is used in WORLD2CAM_FAST to compute the reprojected point very efficiently.
%
% SS is... |
github | blacksmithfan/DCDNN-master | interpolatePerf.m | .m | DCDNN-master/utility/interpolatePerf.m | 735 | utf_8 | d9f98920b1bdbe3e74c8d2f07b5a2eb8 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% The precision at a specified recall level will be
% bilinearly interpolated from neighboring precision values.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [v]=interpolatePerf(values, num, index)
... |
github | blacksmithfan/DCDNN-master | calcAvgPerf_1.m | .m | DCDNN-master/utility/calcAvgPerf_1.m | 850 | utf_8 | 32a98d6cd6e5d1aa0cdc208678abd71d | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% calculate average performance, the micro average will be calculated.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Precision]=calcAvgPerf_1(P_points,C, size)
CUTOFF=2;
SAMPLE=20;
mean=zeros(1,SAMP... |
github | vyoussofzadeh/CAMEG-master | matsel.m | .m | CAMEG-master/External functions/eeglab/matsel.m | 3,756 | utf_8 | 3779008d46e2601576fba59179f48a0c | % matsel() - select rows, columns, and epochs from given multi-epoch data matrix
%
% Usage:
% >> [dataout] = matsel(data,frames,framelist);
% >> [dataout] = matsel(data,frames,framelist,chanlist);
% >> [dataout] = matsel(data,frames,framelist,chanlist,epochlist);
%
% Inputs:
% data - input data... |
github | vyoussofzadeh/CAMEG-master | axcopy.m | .m | CAMEG-master/External functions/eeglab/axcopy.m | 3,176 | utf_8 | f425a07736a8472959fc9760a6f78f8f | % axcopy() - Copy a Matlab figure axis and its graphic objects to a new pop-up window
% using the left mouse button.
%
% Usage: >> axcopy
% >> axcopy(fig)
% >> axcopy('noticks')
% >> axcopy(fig, command)
%
% Notes:
% 1) Clicking the left mouse button on a Matlab figure axis copies... |
github | vyoussofzadeh/CAMEG-master | finputcheck.m | .m | CAMEG-master/External functions/eeglab/finputcheck.m | 9,133 | utf_8 | fe838fecdd60e76a4006a13c7c1b20e4 | % finputcheck() - check Matlab function {'key','value'} input argument pairs
%
% Usage: >> result = finputcheck( varargin, fieldlist );
% >> [result varargin] = finputcheck( varargin, fieldlist, ...
% callingfunc, mode, verbose );
% Input:
% varargin - Cell array ... |
github | vyoussofzadeh/CAMEG-master | spectopo.m | .m | CAMEG-master/External functions/eeglab/spectopo.m | 39,268 | utf_8 | f1a73ded83fafe9478d8f3a90b4d04e1 | % spectopo() - Plot the mean log spectrum of a set of data epochs at all channels
% as a bundle of traces. At specified frequencies, plot the relative
% topographic distribution of power. If available, uses pwelch() from
% the Matlab signal processing toolbox, else the EEGLAB s... |
github | vyoussofzadeh/CAMEG-master | cfg_getfile.m | .m | CAMEG-master/External functions/spm/cfg_getfile.m | 51,231 | utf_8 | 2b8227dc8614e49e7c17ac2771988a19 | function [t,sts] = cfg_getfile(varargin)
% File selector
% FORMAT [t,sts] = cfg_getfile(n,typ,mesg,sel,wd,filt,prms)
% n - Number of files
% A single value or a range. e.g.
% 1 - Select one file
% Inf - Select any number of files
% [1 Inf] - Select 1 to Inf ... |
github | vyoussofzadeh/CAMEG-master | initialise.m | .m | CAMEG-master/External functions/spm/@cfg_branch/initialise.m | 2,320 | utf_8 | e33a8c7707d19f85627dd03955ff79cb | function item = initialise(item, val, dflag)
% function item = initialise(item, val, dflag)
% Initialise a configuration tree with values. If val is a job
% struct/cell, only the parts of the configuration that are present in
% this job will be initialised.
% If val has the special value '<DEFAULTS>', the entire confi... |
github | vyoussofzadeh/CAMEG-master | num2str.m | .m | CAMEG-master/External functions/spm/private/num2str.m | 6,229 | utf_8 | 35ba81d9ba6b78d182aa2136612ac3b2 | function s = num2str(x, f)
%NUM2STR Convert numbers to a string.
% T = NUM2STR(X) converts the matrix X into a string representation T
% with about 4 digits and an exponent if required. This is useful for
% labeling plots with the TITLE, XLABEL, YLABEL, and TEXT commands.
%
% T = NUM2STR(X,N) converts the matr... |
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