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 | yabinzhangJohn/IRQA_Measure-master | toolboxGenDoc.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/toolboxGenDoc.m | 3,639 | utf_8 | 4c21fb34fa9b6002a1a98a28ab40c270 | function toolboxGenDoc
% Generate documentation, must run from dir toolbox.
%
% 1) Make sure to update and run toolboxUpdateHeader.m
% 2) Update history.txt appropriately, including w current version
% 3) Update overview.html file with the version/date/link to zip:
% edit external/m2html/templates/frame-piotr/overv... |
github | yabinzhangJohn/IRQA_Measure-master | toolboxHeader.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/toolboxHeader.m | 2,391 | utf_8 | 30c24a94fb54ca82622719adcab17903 | function [y1,y2] = toolboxHeader( x1, x2, x3, prm )
% One line description of function (will appear in file summary).
%
% General commments explaining purpose of function [width is 75
% characters]. There may be multiple paragraphs. In special cases some or
% all of these guidelines may need to be broken.
%
% Next come... |
github | yabinzhangJohn/IRQA_Measure-master | mdot.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/m2html/mdot.m | 2,516 | utf_8 | 34a14428c433e118d1810e23f5a6caf5 | function mdot(mmat, dotfile,f)
%MDOT - Export a dependency graph into DOT language
% MDOT(MMAT, DOTFILE) loads a .mat file generated by M2HTML using option
% ('save','on') and writes an ascii file using the DOT language that can
% be drawn using <dot> or <neato> .
% MDOT(MMAT, DOTFILE,F) builds the graph containing... |
github | yabinzhangJohn/IRQA_Measure-master | m2html.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/m2html/m2html.m | 49,063 | utf_8 | 472047b4c36a4f8b162012840e31b59b | function m2html(varargin)
%M2HTML - Documentation Generator for Matlab M-files and Toolboxes in HTML
% M2HTML by itself generates an HTML documentation of the Matlab M-files found
% in the direct subdirectories of the current directory. HTML files are
% written in a 'doc' directory (created if necessary). All the o... |
github | yabinzhangJohn/IRQA_Measure-master | doxysearch.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/m2html/private/doxysearch.m | 7,724 | utf_8 | 8331cde8495f34b86aef8c18656b37f2 | function result = doxysearch(query,filename)
%DOXYSEARCH Search a query in a 'search.idx' file
% RESULT = DOXYSEARCH(QUERY,FILENAME) looks for request QUERY
% in FILENAME (Doxygen search.idx format) and returns a list of
% files responding to the request in RESULT.
%
% See also DOXYREAD, DOXYWRITE
% Copyright (C)... |
github | yabinzhangJohn/IRQA_Measure-master | doxywrite.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/m2html/private/doxywrite.m | 3,584 | utf_8 | 3255d8f824957ebc173dde374d0f78af | function doxywrite(filename, kw, statinfo, docinfo)
%DOXYWRITE Write a 'search.idx' file compatible with DOXYGEN
% DOXYWRITE(FILENAME, KW, STATINFO, DOCINFO) writes file FILENAME
% (Doxygen search.idx. format) using the cell array KW containing the
% word list, the sparse matrix (nbword x nbfile) with non-null value... |
github | yabinzhangJohn/IRQA_Measure-master | doxyread.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/m2html/private/doxyread.m | 3,093 | utf_8 | 3152e7d26bf7ac64118be56f72832a20 | function [statlist, docinfo] = doxyread(filename)
%DOXYREAD Read a 'search.idx' file generated by DOXYGEN
% STATLIST = DOXYREAD(FILENAME) reads FILENAME (Doxygen search.idx
% format) and returns the list of keywords STATLIST as a cell array.
% [STATLIST, DOCINFO] = DOXYREAD(FILENAME) also returns a cell array
% con... |
github | yabinzhangJohn/IRQA_Measure-master | imwrite2split.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/imwrite2split.m | 1,617 | utf_8 | 4222fd45df123e6dec9ef40ae793004f | % Writes/reads a large set of images into/from multiple directories.
%
% This is useful since certain OS handle very large directories (of say
% >20K images) rather poorly (I'm talking to you Bill). Thus, can take
% 100K images, and write into 5 separate directories, then read them back
% in.
%
% USAGE
% I = imwrite2... |
github | yabinzhangJohn/IRQA_Measure-master | playmovies.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/playmovies.m | 1,935 | utf_8 | ef2eaad8a130936a1a281f1277ca0ea1 | % [4D] shows R videos simultaneously as a movie.
%
% Plays a movie.
%
% USAGE
% playmovies( I, [fps], [loop] )
%
% INPUTS
% I - MxNxTxR or MxNx1xTxR or MxNx3xTxR array (if MxNxT calls
% playmovie)
% fps - [100] maximum number of frames to display per second use
% fps==0 to introduce n... |
github | yabinzhangJohn/IRQA_Measure-master | pca_apply_large.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/pca_apply_large.m | 2,062 | utf_8 | af84a2179b9d8042519bc6b378736a88 | % Wrapper for pca_apply that allows for application to large X.
%
% Wrapper for pca_apply that splits and processes X in parts, this may be
% useful if processing cannot be done fully in parallel because of memory
% constraints. See pca_apply for usage.
%
% USAGE
% same as pca_apply
%
% INPUTS
% same as pca_apply
%
%... |
github | yabinzhangJohn/IRQA_Measure-master | montages2.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/montages2.m | 2,269 | utf_8 | 505e2be915d65fff8bfef8473875cc98 | % MONTAGES2 [4D] Used to display R sets of T images each.
%
% Displays one montage (see montage2) per row. Each of the R image sets is
% flattened to a single long image by concatenating the T images in the
% set. Alternative to montages.
%
% USAGE
% varargout = montages2( IS, [montage2prms], [padSiz] )
%
% INPUTS
% ... |
github | yabinzhangJohn/IRQA_Measure-master | filter_gauss_1D.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/filter_gauss_1D.m | 1,137 | utf_8 | 94a453b82dcdeba67bd886e042d552d9 | % 1D Gaussian filter.
%
% Equivalent to (but faster then):
% f = fspecial('Gaussian',[2*r+1,1],sigma);
% f = filter_gauss_nD( 2*r+1, r+1, sigma^2 );
%
% USAGE
% f = filter_gauss_1D( r, sigma, [show] )
%
% INPUTS
% r - filter size=2r+1, if r=[] -> r=ceil(2.25*sigma)
% sigma - standard deviation of filter
% ... |
github | yabinzhangJohn/IRQA_Measure-master | clfEcoc.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/clfEcoc.m | 1,493 | utf_8 | e77e1b4fd5469ed39f47dd6ed15f130f | function clf = clfEcoc(p,clfInit,clfparams,nclasses,use01targets)
% Wrapper for ecoc that makes ecoc compatible with nfoldxval.
%
% Requires the SVM toolbox by Anton Schwaighofer.
%
% USAGE
% clf = clfEcoc(p,clfInit,clfparams,nclasses,use01targets)
%
% INPUTS
% p - data dimension
% clfInit - bi... |
github | yabinzhangJohn/IRQA_Measure-master | getargs.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/getargs.m | 3,455 | utf_8 | de2bab917fa6b9ba3099f1c6b6d68cf0 | % Utility to process parameter name/value pairs.
%
% DEPRECATED -- ONLY USED BY KMEANS2? SHOULD BE REMOVED.
% USE GETPARAMDEFAULTS INSTEAD.
%
% Based on code fromt Matlab Statistics Toolobox's "private/statgetargs.m"
%
% [EMSG,A,B,...]=GETARGS(PNAMES,DFLTS,'NAME1',VAL1,'NAME2',VAL2,...)
% accepts a cell array PNAMES o... |
github | yabinzhangJohn/IRQA_Measure-master | normxcorrn_fg.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/normxcorrn_fg.m | 2,699 | utf_8 | e65c38d97efb3a624e0fa94a97f75eb6 | % Normalized n-dimensional cross-correlation with a mask.
%
% Similar to normxcorrn, except takes an additional argument that specifies
% a figure ground mask for the T. That is T_fg must be of the same
% dimensions as T, with each entry being 0 or 1, where zero specifies
% regions to ignore (the ground) and 1 specifi... |
github | yabinzhangJohn/IRQA_Measure-master | makemovie.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/makemovie.m | 1,266 | utf_8 | 9a03d9a5227c4eaa86520f206ce283e7 | % [3D] Used to convert a stack of T images into a movie.
%
% To display same data statically use montage.
%
% USAGE
% M = makemovies( IS )
%
% INPUTS
% IS - MxNxT or MxNx1xT or MxNx3xT array of movies.
%
% OUTPUTS
% M - resulting movie
%
% EXAMPLE
% load( 'images.mat' );
% M = makemovie(... |
github | yabinzhangJohn/IRQA_Measure-master | localsum_block.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/localsum_block.m | 815 | utf_8 | 1216b03a3bd44ff1fc3256de16a2f1c6 | % Calculates the sum in non-overlapping blocks of I of size dims.
%
% Similar to localsum except gets sum in non-overlapping windows.
% Equivalent to doing localsum, and then subsampling (except more
% efficient).
%
% USAGE
% I = localsum_block( I, dims )
%
% INPUTS
% I - matrix to compute sum over
% dims -... |
github | yabinzhangJohn/IRQA_Measure-master | imrotate2.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/imrotate2.m | 1,326 | utf_8 | bb2ff6c3138ce5f53154d58d7ebc4f31 | % Custom version of imrotate that demonstrates use of apply_homography.
%
% Works exactly the same as imrotate. For usage see imrotate.
%
% USAGE
% IR = imrotate2( I, angle, [method], [bbox] )
%
% INPUTS
% I - 2D image [converted to double]
% angle - angle to rotate in degrees
% method - ['linear'] 'neare... |
github | yabinzhangJohn/IRQA_Measure-master | imSubsResize.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/imSubsResize.m | 1,338 | utf_8 | cd7dedf790c015adfb1f2d620e9ed82f | % Resizes subs by resizVals.
%
% Resizes subs in subs/vals image representation by resizVals.
%
% This essentially replaces each sub by sub.*resizVals. The only subtlety
% is that in images the leftmost sub value is .5, so for example when
% resizing by a factor of 2, the first pixel is replaced by 2 pixels and so
% l... |
github | yabinzhangJohn/IRQA_Measure-master | imtranslate.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/imtranslate.m | 1,183 | utf_8 | 054727fb31c105414b655c0f938b6ced | % Translate an image to subpixel accuracy.
%
% Note that for subplixel accuracy cannot use nearest neighbor interp.
%
% USAGE
% IR = imtranslate( I, dx, dy, [method], [bbox] )
%
% INPUTS
% I - 2D image [converted to double]
% dx - x translation (right)
% dy - y translation (up)
% method - ['linear... |
github | yabinzhangJohn/IRQA_Measure-master | randperm2.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/randperm2.m | 1,398 | utf_8 | 5007722f3d5f5ba7c0f83f32ef8a3a2c | % Returns a random permutation of integers.
%
% randperm2(n) is a random permutation of the integers from 1 to n. For
% example, randperm2(6) might be [2 4 5 6 1 3]. randperm2(n,k) is only
% returns the first k elements of the permuation, so for example
% randperm2(6) might be [2 4]. This is a faster version of randp... |
github | yabinzhangJohn/IRQA_Measure-master | apply_homography.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/apply_homography.m | 3,582 | utf_8 | 9c3ed72d35b1145f41114e6e6135b44f | % Applies the homography defined by H on the image I.
%
% Takes the center of the image as the origin, not the top left corner.
% Also, the coordinate system is row/ column format, so H must be also.
%
% The bounding box of the image is set by the BBOX argument, a string that
% can be 'loose' (default) or 'crop'. When ... |
github | yabinzhangJohn/IRQA_Measure-master | pca_apply.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/pca_apply.m | 2,427 | utf_8 | 0831befb6057f8502bc492227455019a | % Companion function to pca.
%
% Use pca to retrieve the principal components U and the mean mu from a
% set fo vectors X1 via [U,mu,vars] = pca(X1). Then given a new
% vector x, use y = pca_apply( x, U, mu, vars, k ) to get the first k
% coefficients of x in the space spanned by the columns of U. See pca for
% genera... |
github | yabinzhangJohn/IRQA_Measure-master | mode2.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/deprecated/mode2.m | 731 | utf_8 | 5c9321ef4b610b4f4a2d43902a68838e | % Returns the mode of a vector.
%
% Was mode not part of Matlab before?
%
% USAGE
% y = mode2( x )
%
% INPUTS
% x - vector of integers
%
% OUTPUTS
% y - mode
%
% EXAMPLE
% x = randint2( 1, 10, [1 3] )
% mode(x), mode2( x )
%
% See also MODE
% Piotr's Image&Video Toolbox Version 1.5
% Written and maintain... |
github | yabinzhangJohn/IRQA_Measure-master | savefig.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/external/other/savefig.m | 13,459 | utf_8 | 2b8463f9b01ceb743e440d8fb5755829 | function savefig(fname, varargin)
% Usage: savefig(filename, fighdl, options)
%
% Saves a pdf, eps, png, jpeg, and/or tiff of the contents of the fighandle's (or current) figure.
% It saves an eps of the figure and the uses Ghostscript to convert to the other formats.
% The result is a cropped, clean picture. There a... |
github | yabinzhangJohn/IRQA_Measure-master | dirSynch.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/matlab/dirSynch.m | 4,570 | utf_8 | d288299d31d15f1804183206d0aa0227 | function dirSynch( root1, root2, showOnly, flag, ignDate )
% Synchronize two directory trees (or show differences between them).
%
% If a file or directory 'name' is found in both tree1 and tree2:
% 1) if 'name' is a file in both the pair is considered the same if they
% have identical size and identical datestamp... |
github | yabinzhangJohn/IRQA_Measure-master | plotRoc.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/matlab/plotRoc.m | 5,212 | utf_8 | 008f9c63073c6400c4960e9e213c47e5 | function [h,miss,stds] = plotRoc( D, varargin )
% Function for display of rocs (receiver operator characteristic curves).
%
% Display roc curves. Consistent usage ensures uniform look for rocs. The
% input D should have n rows, each of which is of the form:
% D = [falsePosRate truePosRate]
% D is generated, for exampl... |
github | yabinzhangJohn/IRQA_Measure-master | simpleCache.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/matlab/simpleCache.m | 4,098 | utf_8 | 92df86b0b7e919c9a26388e598e4d370 | function varargout = simpleCache( op, cache, varargin )
% A simple cache that can be used to store results of computations.
%
% Can save and retrieve arbitrary values using a vector (includnig char
% vectors) as a key. Especially useful if a function must perform heavy
% computation but is often called with the same in... |
github | yabinzhangJohn/IRQA_Measure-master | tpsInterpolate.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/matlab/tpsInterpolate.m | 1,646 | utf_8 | d3bd3a26d048f32cfdc17884ccae6d8c | function [xsR,ysR] = tpsInterpolate( warp, xs, ys, show )
% Apply warp (obtained by tpsGetWarp) to a set of new points.
%
% USAGE
% [xsR,ysR] = tpsInterpolate( warp, xs, ys, [show] )
%
% INPUTS
% warp - [see tpsGetWarp] bookstein warping parameters
% xs, ys - points to apply warp to
% show - [1] will disp... |
github | yabinzhangJohn/IRQA_Measure-master | checkNumArgs.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/matlab/checkNumArgs.m | 3,796 | utf_8 | 726c125c7dc994c4989c0e53ad4be747 | function [ x, er ] = checkNumArgs( x, siz, intFlag, signFlag )
% Helper utility for checking numeric vector arguments.
%
% Runs a number of tests on the numeric array x. Tests to see if x has all
% integer values, all positive values, and so on, depending on the values
% for intFlag and signFlag. Also tests to see if ... |
github | yabinzhangJohn/IRQA_Measure-master | fevalDistr.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/matlab/fevalDistr.m | 11,227 | utf_8 | 7e4d5077ef3d7a891b2847cb858a2c6c | function [out,res] = fevalDistr( funNm, jobs, varargin )
% Wrapper for embarrassingly parallel function evaluation.
%
% Runs "r=feval(funNm,jobs{i}{:})" for each job in a parallel manner. jobs
% should be a cell array of length nJob and each job should be a cell array
% of parameters to pass to funNm. funNm must be a f... |
github | yabinzhangJohn/IRQA_Measure-master | medfilt1m.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/filters/medfilt1m.m | 2,998 | utf_8 | a3733d27c60efefd57ada9d83ccbaa3d | function y = medfilt1m( x, r, z )
% One-dimensional adaptive median filtering with missing values.
%
% Applies a width s=2*r+1 one-dimensional median filter to vector x, which
% may contain missing values (elements equal to z). If x contains no
% missing values, y(j) is set to the median of x(j-r:j+r). If x contains
% ... |
github | yabinzhangJohn/IRQA_Measure-master | FbMake.m | .m | IRQA_Measure-master/MLF_code/EdgeGroup/toolbox/filters/FbMake.m | 6,692 | utf_8 | b625c1461a61485af27e490333350b4b | function FB = FbMake( dim, flag, show )
% Various 1D/2D/3D filterbanks (hardcoded).
%
% USAGE
% FB = FbMake( dim, flag, [show] )
%
% INPUTS
% dim - dimension
% flag - controls type of filterbank to create
% - if d==1
% 1: gabor filter bank for spatiotemporal stuff
% - if d==2
% ... |
github | yabinzhangJohn/IRQA_Measure-master | SIFTflowc2f.m | .m | IRQA_Measure-master/ARS_code/SIFTflowc2f.m | 5,485 | utf_8 | a5d8f4d01080d208613afeb9cce2e799 | % function to do coarse to fine SIFT flow matching
function [vx,vy,energylist]=SIFTflowc2f(im1,im2,SIFTflowpara,isdisplay,Segmentation)
if isfield(SIFTflowpara,'alpha')
alpha=SIFTflowpara.alpha;
else
alpha=0.01;
end
if isfield(SIFTflowpara,'d')
d=SIFTflowpara.d;
else
d=alpha*20;
end
if isfield(SIFTfl... |
github | chuxiaoselena/StructuredFeature-master | imreadx.m | .m | StructuredFeature-master/dataio/imreadx.m | 591 | utf_8 | 112942e1704db78c55a3eda657de6826 | function im = imreadx(ex)
im = make_color(imread(ex.im));
% !!! always flip first !!!!
if ex.isflip
im = im(:,end:-1:1,:);
end
% rotate and flip
if ex.r_degree ~= 0
im = imrotate(im, ex.r_degree);
end
if isfield(ex,'hwrtio')
if ex.hwrtio(1)~=ex.hwrtio(2)
[y,x,z] = size(im);
y = ex.hwrtio(1)*y;... |
github | chuxiaoselena/StructuredFeature-master | classification_demo.m | .m | StructuredFeature-master/caffe-multi/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 | chuxiaoselena/StructuredFeature-master | lookupPart.m | .m | StructuredFeature-master/tools/lookupPart.m | 2,630 | utf_8 | b2f0ea899418570ee5125f8eb57ff2a1 | function [inds numParts] = lookupPart(varargin)
% Returns the part # in the annotation for a string representation
key = get_key();
invkey = fields(key);
assert(key.(invkey{10})==10);
if nargout==2
numParts = max(cellfun(@(x)key.(x), fieldnames(rmfield(key,'KEYPOINT_FLIPMAP'))));
end
if nargin == 0,
inds =... |
github | chuxiaoselena/StructuredFeature-master | testoverlap.m | .m | StructuredFeature-master/tools/testoverlap.m | 1,101 | utf_8 | e8a8b1b4a54dbc39dbe95e6da7b21fa4 | % Compute a mask of filter reponse locations (for a filter of size sizy,sizx)
% that sufficiently overlap a ground-truth bounding box (bbox)
% at a particular level in a feature pyramid
function ov = testoverlap(sizx,sizy,ud1,ud2,pyra,bbox,overlap)
scale = pyra.scale;
% ---------- TODO -----------
padx = pyra.padx;
pa... |
github | chuxiaoselena/StructuredFeature-master | parload.m | .m | StructuredFeature-master/tools/parload.m | 358 | utf_8 | c262af4992432d213bb70aa5012a7324 | % par load
function varargout = parload(fullpath, varargin)
varargout = cell(length(varargin), 1);
for ii=1:length(varargin)
var_name = varargin{ii};
assert(isa(class(var_name), 'char'), 'only accept name');
load(fullpath, var_name);
if exist(var_name, 'var')
varargout{ii} = eval(var_name);
else
... |
github | chuxiaoselena/StructuredFeature-master | parsave.m | .m | StructuredFeature-master/tools/parsave.m | 254 | utf_8 | 8216068114fa720295fb4518b561ca44 | % par save
function parsave(fname,data, varargin)
if ~isempty(varargin)
var_name = varargin{1};
else
var_name=genvarname(inputname(2));
end
eval([var_name '=data;']);
try
save(fname,var_name,'-append')
catch
save(fname,var_name)
end
|
github | chuxiaoselena/StructuredFeature-master | crop_patch.m | .m | StructuredFeature-master/tools/crop_patch.m | 2,409 | utf_8 | 52820e3eb681c58ec5f40dec5239f372 | function cpatch = crop_patch(imdata, label, psize)
persistent NEG_N;
if isempty(NEG_N)
conf = global_conf();
NEG_N = conf.NEG_N;
end
RNG_MAX = 1e9 - 1;
is_negative = isempty(imdata.joints);
if ~is_negative
% negative images
joints = imdata.joints;
scale_x = imdata.scale_x;
scale_y = imdata.scale_y;
gla... |
github | chuxiaoselena/StructuredFeature-master | global_conf.m | .m | StructuredFeature-master/code/global_conf.m | 1,672 | utf_8 | e509e037437fd28eeebef93762409fb6 | function conf = global_conf()
assert_not_in_parallel_worker();
% dataset
conf.interval = 10; % 10 levels from 1 to 1/2
conf.memsize = 0.5; % 0.5 gb
conf.NEG_N = 80;
conf.device_id = 0;
% % conf.caffe_root = './external/caffe';
% conf.caffe_root = './external/caffe2.0';
conf.caffe_root = './caffe-multi';
% default confi... |
github | chuxiaoselena/StructuredFeature-master | qp_write.m | .m | StructuredFeature-master/external/qpsolver/qp_write.m | 1,505 | utf_8 | 229c74c3ca521f58c83a77c174e6d3f6 | % qp_write(ex)
% where ex.id = K X 1
% ex.blocks(j).i = starting index of j^th feature block
% ex.blocks(j).x = feature block
% final feature = [ex.blocks(:).x]
%
% Write ex to a QP of the form:
% min_{w,e} ||(w-w0)*r||^2 + sum_i c_i e_i
% s.t. w x_ij >= 1 - e_i
%
% We can write the above Q... |
github | chuxiaoselena/StructuredFeature-master | qp_opt.m | .m | StructuredFeature-master/external/qpsolver/qp_opt.m | 2,028 | utf_8 | 02ab5a783b9007f2334c987d6458579b | function qp_opt(tol,iter)
% qp_opt(tol,iter)
% Optimize QP until relative difference between lower and upper bound is below 'tol'
global qp;
if nargin < 1,
tol = .05;
end
if nargin < 2,
iter = 3000;
end
% Recompute qp.w in case of numerical precision issues
qp_refresh();
C = 1;
I = 1:qp.n;
[id,J] = sortrows(qp... |
github | chuxiaoselena/StructuredFeature-master | qp_prune.m | .m | StructuredFeature-master/external/qpsolver/qp_prune.m | 828 | utf_8 | 1789b75e3aa75f855dffc94972d374c5 | % Prunes qp to current active constraints (eg., support vectors)
function n = qp_prune
global qp
% if cache is full of support vectors, only keep non-zero (and fixed) ones
if all(qp.sv),
qp.sv = qp.a > 0;
qp.sv(qp.svfix) = 1;
end
I = find(qp.sv > 0);
n = length(I);
assert(n > 0);
qp.l = 0;
qp.w = zeros(size(qp.w... |
github | chuxiaoselena/StructuredFeature-master | qp_one.m | .m | StructuredFeature-master/external/qpsolver/qp_one.m | 4,224 | utf_8 | c0f146c59f6bbdbb3be16decf2ff57e0 | % Perform one pass through current set of support vectors
function qp_one
global qp
MEX = true;
%MEX = false;
% Random ordering of support vectors
I = find(qp.sv);
I = I(randperm(length(I)));
assert(~isempty(I));
% Mex file is much faster
if MEX,
loss = qp_one_sparse(qp.x,qp.i,qp.b,qp.d,qp.... |
github | pengwangucla/DOC-master | im2occedge.m | .m | DOC-master/lib/im2occedge.m | 1,981 | utf_8 | a8d641b1cd51216b44057826290babf8 | function doc_res = im2occedge(occ_file, edge_file, varargin)
model = struct('scales', 1, 'thresh', 0.7, 'occ_normalized',...,
0, 'imsize', []);
model = CatVarargin(model, varargin);
docmaps = cell(length(model.scales),2);
load(edge_file, 'edgemap');
docmaps{1,1} = edgemap; % the first
load(occ_file, 'occmap');
... |
github | pengwangucla/DOC-master | OrderByConnect.m | .m | DOC-master/lib/OrderByConnect.m | 1,333 | utf_8 | 52b464f7e5f8c3cff7e471beed73f1f2 | function frags = OrderByConnect(ind, imsize);
[y, x] = ind2sub(imsize, ind);
x = single(x);
y = single(y);
x_dis = single(abs(bsxfun(@minus, x(:), x(:)')));
y_dis = single(abs(bsxfun(@minus, y(:), y(:)')));
x_dis = setdiag(x_dis,inf);
y_dis = setdiag(y_dis,inf);
dis_mat = single(cat(3, x_dis, y_dis));
adjmat... |
github | pengwangucla/DOC-master | classification_demo.m | .m | DOC-master/caffe_DOC/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 | garyzhao/Sketch3DToolkit-master | read_classification_file.m | .m | Sketch3DToolkit-master/matlab/SHREC14/read_classification_file.m | 859 | utf_8 | 9a8c66b323b351d0ad81b0735e6bc294 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% read a sketch/model classification file (models' name and class, class information).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [modelclass, N] = read_classification_file(filename)
fp=fopen(filena... |
github | garyzhao/Sketch3DToolkit-master | InterpolatePerf.m | .m | Sketch3DToolkit-master/matlab/util/InterpolatePerf.m | 735 | utf_8 | 0aac74e61afbeeb0119394119c5ca9e6 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% The precision at a specified recall level will be
% bilinearly interpolated from neighboring precision values.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [v]=InterpolatePerf(values, num, index)
... |
github | garyzhao/Sketch3DToolkit-master | CalAvgPerf.m | .m | Sketch3DToolkit-master/matlab/util/CalAvgPerf.m | 986 | utf_8 | f9d736133c03dfb1c433ed10daf5c6e9 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% calculate average performance, the micro average will be calculated.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [Precision] = CalAvgPerf(P, C, size, file)
CUTOFF = 2;
SAMPLE = 20;
mean = zeros(1... |
github | garyzhao/Sketch3DToolkit-master | read_classification_file.m | .m | Sketch3DToolkit-master/matlab/SHREC13/read_classification_file.m | 859 | utf_8 | 9a8c66b323b351d0ad81b0735e6bc294 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% read a sketch/model classification file (models' name and class, class information).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [modelclass, N] = read_classification_file(filename)
fp=fopen(filena... |
github | mattloper/caffe_cpm-master | classification_demo.m | .m | caffe_cpm-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 | eghobrial/mems-pipeline-master | getmemsinfo.m | .m | mems-pipeline-master/ServerScripts/apps/matlabcode/domems/getmemsinfo.m | 2,045 | utf_8 | 260fa08c92c1ad31522238f60413afd7 | function [ u8 u9 u13 u14 ] = getmemsinfo(pfilename)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
%%
%pfilename = 'P65024_spepgjCAIPI_Sens_110726_1151.7';
%pfilename = 'P65536_spepgjCAIPI_110726_1155.7';
%% rhuser constants needed to read bitfields
% nl
nlBITS = 6;
nlPO... |
github | eghobrial/mems-pipeline-master | qa_mems.m | .m | mems-pipeline-master/ServerScripts/apps/matlabcode/domems/qa_mems.m | 13,032 | utf_8 | ceaa85874aad00d36713fee8c06500ab | function [snr2mean, snr2max10, snr2std] = qa_mems(sname)
% function qa_mems(sname)
%
%INPUTS
% sname: name of the data (in AFNI briks or NIFTI)
% If AFNI briks, include '+orig' in the name
% If NIFTI: include 'nii' or 'nii.gz'
%OUTPUTS:
%
if strfind(sname,'+orig')
disp('analyze the... |
github | eghobrial/mems-pipeline-master | getmemsinfo_mems.m | .m | mems-pipeline-master/ServerScripts/apps/matlabcode/domems/getmemsinfo_mems.m | 2,364 | utf_8 | 66a732ddf949eb3dfde7108b2067c627 | function [ u8 u9 u13 u14 yfov ras] = getmemsinfo_mems(pfilename)
% Usage: [ u8 u9 u13 u14 ] = getmemsinfo(pfilename)
% Function gets info off pfile header
% Input:
% pfilename
% Output:
% userdata8
% userdata9 (SpinEcho (1))
% userdata13
% userdata14 (PhaseEncoding Dir)
% Author: Eman ... |
github | ltrottier/dlsr-grasping-master | rotMat2D.m | .m | dlsr-grasping-master/loaddata/rotMat2D.m | 1,341 | utf_8 | d16bce1ba38d75bb2939c6f0b2438a15 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to us... |
github | ltrottier/dlsr-grasping-master | graspPCDToRGBDImage.m | .m | dlsr-grasping-master/loaddata/graspPCDToRGBDImage.m | 5,629 | utf_8 | 669bcedc7d0bec37b46f92667b31be19 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | rectPoints2rectLocDimAngle.m | .m | dlsr-grasping-master/loaddata/rectPoints2rectLocDimAngle.m | 2,108 | utf_8 | d7e44abcbb886331ba47402ec945bd17 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | loadRGBDGraspImages.m | .m | dlsr-grasping-master/loaddata/loadRGBDGraspImages.m | 3,308 | utf_8 | fb9d1a4fa786b8255c6ec013a8937a74 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | loadWashingtonRGBDDataset.m | .m | dlsr-grasping-master/loaddata/loadWashingtonRGBDDataset.m | 2,775 | utf_8 | 482f08547af0f700babe9b06047f8a1b | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | pointsInAARect.m | .m | dlsr-grasping-master/loaddata/pointsInAARect.m | 1,579 | utf_8 | 2cce2a502ca8fa24504fd10e430dbc33 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | orientedRGBDRectangle.m | .m | dlsr-grasping-master/loaddata/orientedRGBDRectangle.m | 2,696 | utf_8 | 2bfd4f5140eeb1c4f6980acae47f69fd | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | trainDictionary.m | .m | dlsr-grasping-master/ufl/trainDictionary.m | 3,940 | utf_8 | 43ca0d0e4087206af1810510e67d4954 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | runSC.m | .m | dlsr-grasping-master/ufl/runSC.m | 2,611 | utf_8 | 300415e4c9d1d7df8e6f1ecbf2cce5f9 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | quadrantPooling.m | .m | dlsr-grasping-master/ufl/quadrantPooling.m | 2,502 | utf_8 | 5adf211c858717b1807fc835d2272e61 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | runKMeans.m | .m | dlsr-grasping-master/ufl/runKMeans.m | 2,057 | utf_8 | 3ac785ab63b323a0330c54b2fdf8b66f | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | runDL.m | .m | dlsr-grasping-master/ufl/runDL.m | 3,723 | utf_8 | 6d43f6f97079cb380508df134b0e715a | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | extractUFLFeatures.m | .m | dlsr-grasping-master/ufl/extractUFLFeatures.m | 2,987 | utf_8 | 924b6af846cbd5309bb28a6fb66bbd9d | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | runGSVQ.m | .m | dlsr-grasping-master/ufl/runGSVQ.m | 2,439 | utf_8 | 7f3cfa7df04a81e43773546c3a53026f | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | extractPatchesFromWashingtonRGBD.m | .m | dlsr-grasping-master/ufl/extractPatchesFromWashingtonRGBD.m | 3,018 | utf_8 | 79c877637e6f15ac4b46682d49590bda | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | nmf.m | .m | dlsr-grasping-master/toolbox/spams-matlab/src_release/nmf.m | 3,099 | utf_8 | 04975453432077d74521a3a5fe37cf74 | %
% Usage: [U [,V]]=nmf(X,param);
%
% Name: nmf
%
% Description: mexTrainDL is an efficient implementation of the
% non-negative matrix factorization technique presented in
%
% "Online Learning for Matrix Factorization and Sparse Coding"
% by Julien Mairal, Francis Bach, Jean Ponce and Guillermo Sapiro
... |
github | ltrottier/dlsr-grasping-master | solverPoisson.m | .m | dlsr-grasping-master/toolbox/spams-matlab/src_release/solverPoisson.m | 1,341 | utf_8 | b2dc511094fd9dbdcc7a12a5ecb1062c | %
% Usage: [W, [optim]]=solverPoisson(Y,X,W0,param);
%
% Name: solverPoisson
%
% Description: solverPoisson solves the regularized Poisson regression
% problem for every column of Y:
%
% min_w \sum_i (x_i' w) + delta - y_i log( x_i' w + delta) + lambda psi(w) (1)
%
% delta should be positive. The method solves (... |
github | ltrottier/dlsr-grasping-master | nnsc.m | .m | dlsr-grasping-master/toolbox/spams-matlab/src_release/nnsc.m | 2,793 | utf_8 | 0da189ba9a2a70fb4b6a3f1c39dc3b30 | %
% Usage: [U [,V]]=nnsc(X,param);
%
% Name: nmf
%
% Description: mexTrainDL is an efficient implementation of the
% non-negative sparse coding technique presented in
%
% "Online Learning for Matrix Factorization and Sparse Coding"
% by Julien Mairal, Francis Bach, Jean Ponce and Guillermo Sapiro
% ... |
github | ltrottier/dlsr-grasping-master | nmf.m | .m | dlsr-grasping-master/toolbox/spams-matlab/build/nmf.m | 3,099 | utf_8 | 04975453432077d74521a3a5fe37cf74 | %
% Usage: [U [,V]]=nmf(X,param);
%
% Name: nmf
%
% Description: mexTrainDL is an efficient implementation of the
% non-negative matrix factorization technique presented in
%
% "Online Learning for Matrix Factorization and Sparse Coding"
% by Julien Mairal, Francis Bach, Jean Ponce and Guillermo Sapiro
... |
github | ltrottier/dlsr-grasping-master | solverPoisson.m | .m | dlsr-grasping-master/toolbox/spams-matlab/build/solverPoisson.m | 1,341 | utf_8 | b2dc511094fd9dbdcc7a12a5ecb1062c | %
% Usage: [W, [optim]]=solverPoisson(Y,X,W0,param);
%
% Name: solverPoisson
%
% Description: solverPoisson solves the regularized Poisson regression
% problem for every column of Y:
%
% min_w \sum_i (x_i' w) + delta - y_i log( x_i' w + delta) + lambda psi(w) (1)
%
% delta should be positive. The method solves (... |
github | ltrottier/dlsr-grasping-master | nnsc.m | .m | dlsr-grasping-master/toolbox/spams-matlab/build/nnsc.m | 2,793 | utf_8 | 0da189ba9a2a70fb4b6a3f1c39dc3b30 | %
% Usage: [U [,V]]=nnsc(X,param);
%
% Name: nmf
%
% Description: mexTrainDL is an efficient implementation of the
% non-negative sparse coding technique presented in
%
% "Online Learning for Matrix Factorization and Sparse Coding"
% by Julien Mairal, Francis Bach, Jean Ponce and Guillermo Sapiro
% ... |
github | ltrottier/dlsr-grasping-master | WolfeLineSearch.m | .m | dlsr-grasping-master/toolbox/minFunc_2012/minFunc/WolfeLineSearch.m | 10,590 | utf_8 | f962bc5ae0a1e9f80202a9aaab106dab | function [t,f_new,g_new,funEvals,H] = WolfeLineSearch(...
x,t,d,f,g,gtd,c1,c2,LS_interp,LS_multi,maxLS,progTol,debug,doPlot,saveHessianComp,funObj,varargin)
%
% Bracketing Line Search to Satisfy Wolfe Conditions
%
% Inputs:
% x: starting location
% t: initial step size
% d: descent direction
% f: function v... |
github | ltrottier/dlsr-grasping-master | minFunc_processInputOptions.m | .m | dlsr-grasping-master/toolbox/minFunc_2012/minFunc/minFunc_processInputOptions.m | 4,103 | utf_8 | 8822581c3541eabe5ce7c7927a57c9ab |
function [verbose,verboseI,debug,doPlot,maxFunEvals,maxIter,optTol,progTol,method,...
corrections,c1,c2,LS_init,cgSolve,qnUpdate,cgUpdate,initialHessType,...
HessianModify,Fref,useComplex,numDiff,LS_saveHessianComp,...
Damped,HvFunc,bbType,cycle,...
HessianIter,outputFcn,useMex,useNegCurv,precFunc... |
github | ltrottier/dlsr-grasping-master | optimizeHyperparameters.m | .m | dlsr-grasping-master/crossval/optimizeHyperparameters.m | 4,216 | utf_8 | 9f599fdd45b2a27c04a719f8a4b76db6 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | getAllFileIdx.m | .m | dlsr-grasping-master/crossval/getAllFileIdx.m | 1,360 | utf_8 | ee016b82e864ac3857c85cd9b8f4aaf4 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | splitDataCrossValidation.m | .m | dlsr-grasping-master/crossval/splitDataCrossValidation.m | 2,957 | utf_8 | 6509de46d4908f4acd86325d7e15a39d | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | svmPredict.m | .m | dlsr-grasping-master/svm/svmPredict.m | 1,299 | utf_8 | cdc9888809ac521f2fa6ec9d120abd62 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | svmScore.m | .m | dlsr-grasping-master/svm/svmScore.m | 1,318 | utf_8 | 4c938874608745fc21748b87744ed137 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | svmTrain.m | .m | dlsr-grasping-master/svm/svmTrain.m | 2,328 | utf_8 | e4d00c1a4cf13c6af0bf21e67f659d41 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | recognizeTrainTestUFLAndSVM.m | .m | dlsr-grasping-master/recognition/recognizeTrainTestUFLAndSVM.m | 3,492 | utf_8 | b9ee3480107073fb9e5d8a0df82a9b8f | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | maskvar.m | .m | dlsr-grasping-master/math/maskvar.m | 1,427 | utf_8 | 56dda2e5f9c642136f798805eef8ad07 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | cartesianProduct.m | .m | dlsr-grasping-master/math/cartesianProduct.m | 1,365 | utf_8 | 6e3d90519f35b7ba6c754097f5d8aa50 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | maskmean.m | .m | dlsr-grasping-master/math/maskmean.m | 1,537 | utf_8 | 3efc3d7fe929fa665f042de0779ffa37 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | smartInterpMaskedData.m | .m | dlsr-grasping-master/preprocess/smartInterpMaskedData.m | 1,589 | utf_8 | 7fc269b777f9331e032578c5bc9f2493 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | padImage.m | .m | dlsr-grasping-master/preprocess/padImage.m | 2,091 | utf_8 | 26428f78bd2e3e76124ab43ee6cb6783 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | getNewFeatFromAllRGBD.m | .m | dlsr-grasping-master/preprocess/getNewFeatFromAllRGBD.m | 2,631 | utf_8 | 4ce999636f947a3049d58a8d7c992d7f | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | padMaskedImage2.m | .m | dlsr-grasping-master/preprocess/padMaskedImage2.m | 2,187 | utf_8 | d8015cc7e7817c04a623f5a91114714b | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | resizeMaskedImage2.m | .m | dlsr-grasping-master/preprocess/resizeMaskedImage2.m | 1,655 | utf_8 | 69508747e6eca58d7c8ec29d9ca36f7e | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | interpMaskedData.m | .m | dlsr-grasping-master/preprocess/interpMaskedData.m | 2,201 | utf_8 | 82381619f9be6f28a96e7ac16987de3e | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | getNewFeatFromRGBD.m | .m | dlsr-grasping-master/preprocess/getNewFeatFromRGBD.m | 3,949 | utf_8 | 840c1430faf89b6e78a6d110a528e389 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | caseWiseWhiten.m | .m | dlsr-grasping-master/preprocess/caseWiseWhiten.m | 2,060 | utf_8 | 3f0691e6d8723c0273908d186af3fd99 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy, ... |
github | ltrottier/dlsr-grasping-master | removeOutliers.m | .m | dlsr-grasping-master/preprocess/removeOutliers.m | 1,590 | utf_8 | e5f6d7357b926b1140e05e61e35b22f3 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
github | ltrottier/dlsr-grasping-master | getSurfNorm.m | .m | dlsr-grasping-master/preprocess/getSurfNorm.m | 1,471 | utf_8 | 0590d57d8a752473a72e6b4784f9da66 | % The MIT License (MIT)
%
% Copyright (c) 2016 Ludovic Trottier
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, including without limitation the rights
% to use, copy... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.