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github | yinglang/ImageRetrival-master | vl_test_lbp.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_lbp.m | 892 | utf_8 | a79c0ce0c85e25c0b1657f3a0b499538 | function results = vl_test_lbp(varargin)
% VL_TEST_TWISTER
vl_test_init ;
function test_unfiorm_lbps(s)
% enumerate the 56 uniform lbps
q = 0 ;
for i=0:7
for j=1:7
I = zeros(3) ;
p = mod(s.pixels - i + 8, 8) + 1 ;
I(p <= j) = 1 ;
f = vl_lbp(single(I), 3) ;
q = q + 1 ;
vl_assert_equal(find(f... |
github | yinglang/ImageRetrival-master | vl_test_colsubset.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_colsubset.m | 828 | utf_8 | be0c080007445b36333b863326fb0f15 | function results = vl_test_colsubset(varargin)
% VL_TEST_COLSUBSET
vl_test_init ;
function s = setup()
s.x = [5 2 3 6 4 7 1 9 8 0] ;
function test_beginning(s)
vl_assert_equal(1:5, vl_colsubset(1:10, 5, 'beginning')) ;
vl_assert_equal(1:5, vl_colsubset(1:10, .5, 'beginning')) ;
function test_ending(s)
vl_assert_equa... |
github | yinglang/ImageRetrival-master | vl_test_alldist.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_alldist.m | 2,373 | utf_8 | 9ea1a36c97fe715dfa2b8693876808ff | function results = vl_test_alldist(varargin)
% VL_TEST_ALLDIST
vl_test_init ;
function s = setup()
vl_twister('state', 0) ;
s.X = 3.1 * vl_twister(10,10) ;
s.Y = 4.7 * vl_twister(10,7) ;
function test_null_args(s)
vl_assert_equal(...
vl_alldist(zeros(15,12), zeros(15,0), 'kl2'), ...
zeros(12,0)) ;
vl_assert_equa... |
github | yinglang/ImageRetrival-master | vl_test_ihashsum.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_ihashsum.m | 581 | utf_8 | edc283062469af62056b0782b171f5fc | function results = vl_test_ihashsum(varargin)
% VL_TEST_IHASHSUM
vl_test_init ;
function s = setup()
rand('state',0) ;
s.data = uint8(round(16*rand(2,100))) ;
sel = find(all(s.data==0)) ;
s.data(1,sel)=1 ;
function test_hash(s)
D = size(s.data,1) ;
K = 5 ;
h = zeros(1,K,'uint32') ;
id = zeros(D,K,'uint8');
next = zer... |
github | yinglang/ImageRetrival-master | vl_test_grad.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_grad.m | 434 | utf_8 | 4d03eb33a6a4f68659f868da95930ffb | function results = vl_test_grad(varargin)
% VL_TEST_GRAD
vl_test_init ;
function s = setup()
s.I = rand(150,253) ;
s.I_small = rand(2,2) ;
function test_equiv(s)
vl_assert_equal(gradient(s.I), vl_grad(s.I)) ;
function test_equiv_small(s)
vl_assert_equal(gradient(s.I_small), vl_grad(s.I_small)) ;
function test_equiv... |
github | yinglang/ImageRetrival-master | vl_test_whistc.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_whistc.m | 1,384 | utf_8 | 81c446d35c82957659840ab2a579ec2c | function results = vl_test_whistc(varargin)
% VL_TEST_WHISTC
vl_test_init ;
function test_acc()
x = ones(1, 10) ;
e = 1 ;
o = 1:10 ;
vl_assert_equal(vl_whistc(x, o, e), 55) ;
function test_basic()
x = 1:10 ;
e = 1:10 ;
o = ones(1, 10) ;
vl_assert_equal(histc(x, e), vl_whistc(x, o, e)) ;
x = linspace(-1,11,100) ;
o =... |
github | yinglang/ImageRetrival-master | vl_test_roc.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_roc.m | 1,019 | utf_8 | 9b2ae71c9dc3eda0fc54c65d55054d0c | function results = vl_test_roc(varargin)
% VL_TEST_ROC
vl_test_init ;
function s = setup()
s.scores0 = [5 4 3 2 1] ;
s.scores1 = [5 3 4 2 1] ;
s.labels = [1 1 -1 -1 -1] ;
function test_perfect_tptn(s)
[tpr,tnr] = vl_roc(s.labels,s.scores0) ;
vl_assert_almost_equal(tpr, [0 1 2 2 2 2] / 2) ;
vl_assert_almost_equal(tnr,... |
github | yinglang/ImageRetrival-master | vl_test_dsift.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_dsift.m | 2,048 | utf_8 | fbbfb16d5a21936c1862d9551f657ccc | function results = vl_test_dsift(varargin)
% VL_TEST_DSIFT
vl_test_init ;
function s = setup()
I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
s.I = rgb2gray(single(I)) ;
function test_fast_slow(s)
binSize = 4 ; % bin size in pixels
magnif = 3 ; % bin size / keypoint scale
scale = binSize... |
github | yinglang/ImageRetrival-master | vl_test_alldist2.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_alldist2.m | 2,284 | utf_8 | 89a787e3d83516653ae8d99c808b9d67 | function results = vl_test_alldist2(varargin)
% VL_TEST_ALLDIST
vl_test_init ;
% TODO: test integer classes
function s = setup()
vl_twister('state', 0) ;
s.X = 3.1 * vl_twister(10,10) ;
s.Y = 4.7 * vl_twister(10,7) ;
function test_null_args(s)
vl_assert_equal(...
vl_alldist2(zeros(15,12), zeros(15,0), 'kl2'), ...
... |
github | yinglang/ImageRetrival-master | vl_test_fisher.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_fisher.m | 2,097 | utf_8 | c9afd9ab635bd412cbf8be3c2d235f6b | function results = vl_test_fisher(varargin)
% VL_TEST_FISHER
vl_test_init ;
function s = setup()
randn('state',0) ;
dimension = 5 ;
numData = 21 ;
numComponents = 3 ;
s.x = randn(dimension,numData) ;
s.mu = randn(dimension,numComponents) ;
s.sigma2 = ones(dimension,numComponents) ;
s.prior = ones(1,numComponents) ;
s... |
github | yinglang/ImageRetrival-master | vl_test_imsmooth.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_imsmooth.m | 1,837 | utf_8 | 718235242cad61c9804ba5e881c22f59 | function results = vl_test_imsmooth(varargin)
% VL_TEST_IMSMOOTH
vl_test_init ;
function s = setup()
I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
I = max(min(vl_imdown(I),1),0) ;
s.I = single(I) ;
function test_pad_by_continuity(s)
% Convolving a constant signal padded with continuity does not change... |
github | yinglang/ImageRetrival-master | vl_test_svmtrain.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_svmtrain.m | 4,277 | utf_8 | 071b7c66191a22e8236fda16752b27aa | function results = vl_test_svmtrain(varargin)
% VL_TEST_SVMTRAIN
vl_test_init ;
end
function s = setup()
randn('state',0) ;
Np = 10 ;
Nn = 10 ;
xp = diag([1 3])*randn(2, Np) ;
xn = diag([1 3])*randn(2, Nn) ;
xp(1,:) = xp(1,:) + 2 + 1 ;
xn(1,:) = xn(1,:) - 2 + 1 ;
s.x = [xp xn] ;
s.y = [ones(1,Np) ... |
github | yinglang/ImageRetrival-master | vl_test_phow.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_phow.m | 549 | utf_8 | f761a3bb218af855986263c67b2da411 | function results = vl_test_phow(varargin)
% VL_TEST_PHOPW
vl_test_init ;
function s = setup()
s.I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
s.I = single(s.I) ;
function test_gray(s)
[f,d] = vl_phow(s.I, 'color', 'gray') ;
assert(size(d,1) == 128) ;
function test_rgb(s)
[f,d] = vl_phow(s.I, 'color',... |
github | yinglang/ImageRetrival-master | vl_test_kmeans.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_kmeans.m | 3,632 | utf_8 | 0e1d6f4f8101c8982a0e743e0980c65a | function results = vl_test_kmeans(varargin)
% VL_TEST_KMEANS
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vl_test_init ;
function s = setup()
randn('sta... |
github | yinglang/ImageRetrival-master | vl_test_hikmeans.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_hikmeans.m | 463 | utf_8 | dc3b493646e66316184e86ff4e6138ab | function results = vl_test_hikmeans(varargin)
% VL_TEST_IKMEANS
vl_test_init ;
function s = setup()
rand('state',0) ;
s.data = uint8(rand(2,1000) * 255) ;
function test_basic(s)
[tree, assign] = vl_hikmeans(s.data,3,100) ;
assign_ = vl_hikmeanspush(tree, s.data) ;
vl_assert_equal(assign,assign_) ;
function test_elka... |
github | yinglang/ImageRetrival-master | vl_test_aib.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_aib.m | 1,277 | utf_8 | 78978ae54e7ebe991d136336ba4bf9c6 | function results = vl_test_aib(varargin)
% VL_TEST_AIB
vl_test_init ;
function s = setup()
s = [] ;
function test_basic(s)
Pcx = [.3 .3 0 0
0 0 .2 .2] ;
% This results in the AIB tree
%
% 1 - \
% 5 - \
% 2 - / \
% - 7
% 3 - \ /
% 6 - /
% 4 - /
%
% coded by the map [5 ... |
github | yinglang/ImageRetrival-master | vl_test_plotbox.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_plotbox.m | 414 | utf_8 | aa06ce4932a213fb933bbede6072b029 | function results = vl_test_plotbox(varargin)
% VL_TEST_PLOTBOX
vl_test_init ;
function test_basic(s)
figure(1) ; clf ;
vl_plotbox([-1 -1 1 1]') ;
xlim([-2 2]) ;
ylim([-2 2]) ;
close(1) ;
function test_multiple(s)
figure(1) ; clf ;
randn('state', 0) ;
vl_plotbox(randn(4,10)) ;
close(1) ;
function test_style(s)
figure... |
github | yinglang/ImageRetrival-master | vl_test_imarray.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_imarray.m | 795 | utf_8 | c5e6a5aa8c2e63e248814f5bd89832a8 | function results = vl_test_imarray(varargin)
% VL_TEST_IMARRAY
vl_test_init ;
function test_movie_rgb(s)
A = rand(23,15,3,4) ;
B = vl_imarray(A,'movie',true) ;
function test_movie_indexed(s)
cmap = get(0,'DefaultFigureColormap') ;
A = uint8(size(cmap,1)*rand(23,15,4)) ;
A = min(A,size(cmap,1)-1) ;
B = vl_imarray(A,'m... |
github | yinglang/ImageRetrival-master | vl_test_homkermap.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_homkermap.m | 1,903 | utf_8 | c157052bf4213793a961bde1f73fb307 | function results = vl_test_homkermap(varargin)
% VL_TEST_HOMKERMAP
vl_test_init ;
function check_ker(ker, n, window, period)
args = {n, ker, 'window', window} ;
if nargin > 3
args = {args{:}, 'period', period} ;
end
x = [-1 -.5 0 .5 1] ;
y = linspace(0,2,100) ;
for conv = {@single, @double}
x = feval(conv{1}, x) ;... |
github | yinglang/ImageRetrival-master | vl_test_slic.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_slic.m | 200 | utf_8 | 12a6465e3ef5b4bcfd7303cd8a9229d4 | function results = vl_test_slic(varargin)
% VL_TEST_SLIC
vl_test_init ;
function s = setup()
s.im = im2single(vl_impattern('roofs1')) ;
function test_slic(s)
segmentation = vl_slic(s.im, 10, 0.1) ;
|
github | yinglang/ImageRetrival-master | vl_test_ikmeans.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_ikmeans.m | 466 | utf_8 | 1ee2f647ac0035ed0d704a0cd615b040 | function results = vl_test_ikmeans(varargin)
% VL_TEST_IKMEANS
vl_test_init ;
function s = setup()
rand('state',0) ;
s.data = uint8(rand(2,1000) * 255) ;
function test_basic(s)
[centers, assign] = vl_ikmeans(s.data,100) ;
assign_ = vl_ikmeanspush(s.data, centers) ;
vl_assert_equal(assign,assign_) ;
function test_elk... |
github | yinglang/ImageRetrival-master | vl_test_mser.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_mser.m | 242 | utf_8 | 1ad33563b0c86542a2978ee94e0f4a39 | function results = vl_test_mser(varargin)
% VL_TEST_MSER
vl_test_init ;
function s = setup()
s.im = im2uint8(rgb2gray(vl_impattern('roofs1'))) ;
function test_mser(s)
[regions,frames] = vl_mser(s.im) ;
mask = vl_erfill(s.im, regions(1)) ;
|
github | yinglang/ImageRetrival-master | vl_test_inthist.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_inthist.m | 811 | utf_8 | 459027d0c54d8f197563a02ab66ef45d | function results = vl_test_inthist(varargin)
% VL_TEST_INTHIST
vl_test_init ;
function s = setup()
rand('state',0) ;
s.labels = uint32(8*rand(123, 76, 3)) ;
function test_basic(s)
l = 10 ;
hist = vl_inthist(s.labels, 'numlabels', l) ;
hist_ = inthist_slow(s.labels, l) ;
vl_assert_equal(double(hist),hist_) ;
function... |
github | yinglang/ImageRetrival-master | vl_test_imdisttf.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_imdisttf.m | 1,885 | utf_8 | ae921197988abeb984cbcdf9eaf80e77 | function results = vl_test_imdisttf(varargin)
% VL_TEST_DISTTF
vl_test_init ;
function test_basic()
for conv = {@single, @double}
conv = conv{1} ;
I = conv([0 0 0 ; 0 -2 0 ; 0 0 0]) ;
D = vl_imdisttf(I);
assert(isequal(D, conv(- [0 1 0 ; 1 2 1 ; 0 1 0]))) ;
I(2,2) = -3 ;
[D,map] = vl_imdisttf(I) ;
asse... |
github | yinglang/ImageRetrival-master | vl_test_vlad.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_vlad.m | 1,977 | utf_8 | d3797288d6edb1d445b890db3780c8ce | function results = vl_test_vlad(varargin)
% VL_TEST_VLAD
vl_test_init ;
function s = setup()
randn('state',0) ;
s.x = randn(128,256) ;
s.mu = randn(128,16) ;
assignments = rand(16, 256) ;
s.assignments = bsxfun(@times, assignments, 1 ./ sum(assignments,1)) ;
function test_basic (s)
x = [1, 2, 3] ;
mu = [0, 0, 0] ;
a... |
github | yinglang/ImageRetrival-master | vl_test_pr.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_pr.m | 3,763 | utf_8 | 4d1da5ccda1a7df2bec35b8f12fdd620 | function results = vl_test_pr(varargin)
% VL_TEST_PR
vl_test_init ;
function s = setup()
s.scores0 = [5 4 3 2 1] ;
s.scores1 = [5 3 4 2 1] ;
s.labels = [1 1 -1 -1 -1] ;
function test_perfect_tptn(s)
[rc,pr] = vl_pr(s.labels,s.scores0) ;
vl_assert_almost_equal(pr, [1 1/1 2/2 2/3 2/4 2/5]) ;
vl_assert_almost_equal(rc, ... |
github | yinglang/ImageRetrival-master | vl_test_hog.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_hog.m | 1,555 | utf_8 | eed7b2a116d142040587dc9c4eb7cd2e | function results = vl_test_hog(varargin)
% VL_TEST_HOG
vl_test_init ;
function s = setup()
s.im = im2single(vl_impattern('roofs1')) ;
[x,y]= meshgrid(linspace(-1,1,128)) ;
s.round = single(x.^2+y.^2);
s.imSmall = s.im(1:128,1:128,:) ;
s.imSmall = s.im ;
s.imSmallFlipped = s.imSmall(:,end:-1:1,:) ;
function test_basic... |
github | yinglang/ImageRetrival-master | vl_test_argparse.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_argparse.m | 795 | utf_8 | e72185b27206d0ee1dfdc19fe77a5be6 | function results = vl_test_argparse(varargin)
% VL_TEST_ARGPARSE
vl_test_init ;
function test_basic()
opts.field1 = 1 ;
opts.field2 = 2 ;
opts.field3 = 3 ;
opts_ = opts ;
opts_.field1 = 3 ;
opts_.field2 = 10 ;
opts = vl_argparse(opts, {'field2', 10, 'field1', 3}) ;
assert(isequal(opts, opts_)) ;
opts_.field1 = 9 ;
... |
github | yinglang/ImageRetrival-master | vl_test_liop.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_liop.m | 1,023 | utf_8 | a162be369073bed18e61210f44088cf3 | function results = vl_test_liop(varargin)
% VL_TEST_SIFT
vl_test_init ;
function s = setup()
randn('state',0) ;
s.patch = randn(65,'single') ;
xr = -32:32 ;
[x,y] = meshgrid(xr) ;
s.blob = - single(x.^2+y.^2) ;
function test_basic(s)
d = vl_liop(s.patch) ;
function test_blob(s)
% with a blob, all local intensity ord... |
github | yinglang/ImageRetrival-master | vl_test_binsearch.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/xtest/vl_test_binsearch.m | 1,339 | utf_8 | 85dc020adce3f228fe7dfb24cf3acc63 | function results = vl_test_binsearch(varargin)
% VL_TEST_BINSEARCH
vl_test_init ;
function test_inf_bins()
x = [-inf -1 0 1 +inf] ;
vl_assert_equal(vl_binsearch([], x), [0 0 0 0 0]) ;
vl_assert_equal(vl_binsearch([-inf 0], x), [1 1 2 2 2]) ;
vl_assert_equal(vl_binsearch([-inf], x), [1 1 1 1 1]) ;
vl_a... |
github | yinglang/ImageRetrival-master | vl_roc.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/plotop/vl_roc.m | 10,113 | utf_8 | 22fd8ff455ee62a96ffd94b9074eafeb | function [tpr,tnr,info] = vl_roc(labels, scores, varargin)
%VL_ROC ROC curve.
% [TPR,TNR] = VL_ROC(LABELS, SCORES) computes the Receiver Operating
% Characteristic (ROC) curve [1]. LABELS is a row vector of ground
% truth labels, greater than zero for a positive sample and smaller
% than zero for a negative o... |
github | yinglang/ImageRetrival-master | vl_click.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/plotop/vl_click.m | 2,661 | utf_8 | 6982e869cf80da57fdf68f5ebcd05a86 | function P = vl_click(N,varargin) ;
% VL_CLICK Click a point
% P=VL_CLICK() let the user click a point in the current figure and
% returns its coordinates in P. P is a two dimensiona vectors where
% P(1) is the point X-coordinate and P(2) the point Y-coordinate. The
% user can abort the operation by pressing any k... |
github | yinglang/ImageRetrival-master | vl_pr.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/plotop/vl_pr.m | 9,138 | utf_8 | c7fe6832d2b6b9917896810c52a05479 | function [recall, precision, info] = vl_pr(labels, scores, varargin)
%VL_PR Precision-recall curve.
% [RECALL, PRECISION] = VL_PR(LABELS, SCORES) computes the
% precision-recall (PR) curve. LABELS are the ground truth labels,
% greather than zero for a positive sample and smaller than zero for
% a negative on... |
github | yinglang/ImageRetrival-master | vl_ubcread.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/sift/vl_ubcread.m | 3,015 | utf_8 | e8ddd3ecd87e76b6c738ba153fef050f | function [f,d] = vl_ubcread(file, varargin)
% SIFTREAD Read Lowe's SIFT implementation data files
% [F,D] = VL_UBCREAD(FILE) reads the frames F and the descriptors D
% from FILE in UBC (Lowe's original implementation of SIFT) format
% and returns F and D as defined by VL_SIFT().
%
% VL_UBCREAD(FILE, 'FORMAT', '... |
github | yinglang/ImageRetrival-master | vl_frame2oell.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/sift/vl_frame2oell.m | 2,806 | utf_8 | c93792632f630743485fa4c2cf12d647 | function eframes = vl_frame2oell(frames)
% VL_FRAMES2OELL Convert a geometric frame to an oriented ellipse
% EFRAME = VL_FRAME2OELL(FRAME) converts the generic FRAME to an
% oriented ellipses EFRAME. FRAME and EFRAME can be matrices, with
% one frame per column.
%
% A frame is either a point, a disc, an orien... |
github | yinglang/ImageRetrival-master | vl_plotsiftdescriptor.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/toolbox/sift/vl_plotsiftdescriptor.m | 5,114 | utf_8 | a4e125a8916653f00143b61cceda2f23 | function h=vl_plotsiftdescriptor(d,f,varargin)
% VL_PLOTSIFTDESCRIPTOR Plot SIFT descriptor
% VL_PLOTSIFTDESCRIPTOR(D) plots the SIFT descriptor D. If D is a
% matrix, it plots one descriptor per column. D has the same format
% used by VL_SIFT().
%
% VL_PLOTSIFTDESCRIPTOR(D,F) plots the SIFT descriptors warpe... |
github | yinglang/ImageRetrival-master | phow_caltech101.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/apps/phow_caltech101.m | 11,594 | utf_8 | 7f4890a2e6844ca56debbfe23cca64f3 | function phow_caltech101()
% PHOW_CALTECH101 Image classification in the Caltech-101 dataset
% This program demonstrates how to use VLFeat to construct an image
% classifier on the Caltech-101 data. The classifier uses PHOW
% features (dense SIFT), spatial histograms of visual words, and a
% Chi2 SVM. To speedu... |
github | yinglang/ImageRetrival-master | sift_mosaic.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/apps/sift_mosaic.m | 4,621 | utf_8 | 8fa3ad91b401b8f2400fb65944c79712 | function mosaic = sift_mosaic(im1, im2)
% SIFT_MOSAIC Demonstrates matching two images using SIFT and RANSAC
%
% SIFT_MOSAIC demonstrates matching two images based on SIFT
% features and RANSAC and computing their mosaic.
%
% SIFT_MOSAIC by itself runs the algorithm on two standard test
% images. Use SIFT_MOSAI... |
github | yinglang/ImageRetrival-master | encodeImage.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/apps/recognition/encodeImage.m | 5,278 | utf_8 | 5d9dc6161995b8e10366b5649bf4fda4 | function descrs = encodeImage(encoder, im, varargin)
% ENCODEIMAGE Apply an encoder to an image
% DESCRS = ENCODEIMAGE(ENCODER, IM) applies the ENCODER
% to image IM, returning a corresponding code vector PSI.
%
% IM can be an image, the path to an image, or a cell array of
% the same, to operate on multiple ... |
github | yinglang/ImageRetrival-master | experiments.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/apps/recognition/experiments.m | 6,905 | utf_8 | 1e4a4911eed4a451b9488b9e6cc9b39c | function experiments()
% EXPERIMENTS Run image classification experiments
% The experimens download a number of benchmark datasets in the
% 'data/' subfolder. Make sure that there are several GBs of
% space available.
%
% By default, experiments run with a lite option turned on. This
% quickly runs all... |
github | yinglang/ImageRetrival-master | getDenseSIFT.m | .m | ImageRetrival-master/third_part_lib/vlfeat-0.9.20-bin/vlfeat-0.9.20/apps/recognition/getDenseSIFT.m | 1,679 | utf_8 | 2059c0a2a4e762226d89121408c6e51c | function features = getDenseSIFT(im, varargin)
% GETDENSESIFT Extract dense SIFT features
% FEATURES = GETDENSESIFT(IM) extract dense SIFT features from
% image IM.
% Author: Andrea Vedaldi
% Copyright (C) 2013 Andrea Vedaldi
% All rights reserved.
%
% This file is part of the VLFeat library and is made availab... |
github | yinglang/ImageRetrival-master | query.m | .m | ImageRetrival-master/code/cv_test/query.m | 805 | utf_8 | 65616a370b3431c86292f9f1db2870df | function [image_index, T] = query()
[centers, dataset, ~, ~, rerank_mat] = load_anything();
tic
img = get_img();
[image_index, T] = query_main(img,centers, dataset, rerank_mat);
toc
end
function img=get_img()
basedir = 'img/';
queryset_path = strcat(basedir, 'queryset/all_souls_000013.jpg')... |
github | yinglang/ImageRetrival-master | svm_query.m | .m | ImageRetrival-master/code/cv_cnn/cnn_svm/svm_query.m | 707 | utf_8 | 68e1e1f442cc363cf551e18717848e7f | function index = svm_query(imagepath, net, svmModel, para)
if isempty(net)
net = load('../cnn_mat/imagenet-vgg-f.mat');
net = vl_simplenn_tidy(net);
end
feature = get_vgg_feature(imagepath, net);
feature = turn_svm_feature(feature, para);
index=svm_muti_predict(svmModel, ... |
github | yinglang/ImageRetrival-master | svm_train.m | .m | ImageRetrival-master/code/cv_cnn/cnn_svm/svm_train.m | 1,099 | utf_8 | 79e3e55b56d70bd1b6326450b3619aa7 | function svmModel=svm_train()
dataset = load('../dataMat/dataset.mat');
dataset = dataset.dataset;
fprintf(1, 'load dataset from dataMat/dataset.mat\n');
dimPerData = length(dataset{1}.svm_feature);
% countPerClass = 20;
% classCount = 52;
image_count = size(dataset, 1);
trainData =... |
github | yinglang/ImageRetrival-master | query.m | .m | ImageRetrival-master/code/cv_cnn/cnn_query/query.m | 1,207 | utf_8 | 2492b7dedac8cf5c04a7fffde4dfd71a | function index = query( imagepath, dataset, net )
if isempty(net)
net = load('cnn_mat/imagenet-vgg-f.mat');
net = vl_simplenn_tidy(net);
end
if isempty(dataset)
dataset = load('dataMat/dataset.mat', 'dataset');
dataset = dataset.dataset;
end
feature = get_vgg_fea... |
github | yinglang/ImageRetrival-master | load_vgg_rerank_mat.m | .m | ImageRetrival-master/code/cv_cnn/rerank/load_vgg_rerank_mat.m | 958 | utf_8 | 1e001832653e7b2f2b5e6bb6e8423d7e | function similar=load_vgg_rerank_mat( dataset )
%LOAD_VGG_RERANK_MAT Summary of this function goes here
% Detailed explanation goes here
if isempty(dataset)
dataset = load('../dataMat/dataset.mat', 'dataset');
dataset = dataset.dataset;
end
image_count = size(dataset, 1);
similar = ze... |
github | yinglang/ImageRetrival-master | plot_sift_match.m | .m | ImageRetrival-master/code/cv_sift_dir/plot_sift_match.m | 1,067 | utf_8 | e36ff41ced667846719a9c4a389bf9cc | function plot_sift_match(img1, img2, f1, f2, matches, max_point_count) % pos = (col, row) = (x, y)
%PLOT_SIFT_MATCH Summary of this function goes here
% Detailed explanation goes here
matches_pos1 = f1(1:2, matches(1, :))';
matches_pos2 = f2(1:2, matches(2,:))';
plot_by_posXY(img1, img2, matches_pos1... |
github | yinglang/ImageRetrival-master | svm_train.m | .m | ImageRetrival-master/code/cv_bow/bow_svm_query/svm_train.m | 1,334 | utf_8 | 95bded1ce6853daec4588f5b9881d10c | function svmModel=svm_train()
dataset = load('dataMat/dataset_tf_idf.mat');
dataset = dataset.dataset;
fprintf(1, 'load dataset from dataMat/dataset_tf_idf.mat\n');
centers = load('dataMat/centers_kmeans.mat');
centers = centers.centers;
fprintf(1, 'load centers from dataMat/centers_kmeans.mat\n... |
github | kmaninis/COB-master | im2ucm.m | .m | COB-master/im2ucm.m | 1,614 | utf_8 | 00a68d79c598eddc301d34be5ffd1b6f | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% ... |
github | kmaninis/COB-master | cob_root.m | .m | COB-master/cob_root.m | 814 | utf_8 | 3896f4e44993b94dd9cff0a15a9ebbdd | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% ... |
github | kmaninis/COB-master | build.m | .m | COB-master/build.m | 10,522 | utf_8 | 54b7864c76ab00fafaca84c7d7b3a476 | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% ... |
github | kmaninis/COB-master | set_params.m | .m | COB-master/set_params.m | 3,027 | utf_8 | a9db80788e7fac6aef37efa2a2be247d | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% Thi... |
github | kmaninis/COB-master | im2prop.m | .m | COB-master/im2prop.m | 5,362 | utf_8 | d447530547125147bbc96f38c44efd79 | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% ... |
github | kmaninis/COB-master | cob_list.m | .m | COB-master/scripts/cob_list.m | 2,014 | utf_8 | 276db5864078a128a9c4c6c0830b05c0 |
function cob_list(im_folder, id_file, id_start, id_end, prop_dir, box_dir, ucm_dir)
disp(['im_folder= ', im_folder])
disp(['id_file = ', id_file])
disp(['id_start = ', num2str(id_start)])
disp(['id_end = ', num2str(id_end)])
disp(['prop_dir = ', prop_dir])
% Read id file
fileID = fopen(id_file);
ids = textscan(fil... |
github | kmaninis/COB-master | im2cob_all.m | .m | COB-master/scripts/im2cob_all.m | 2,355 | utf_8 | 10282752183404010f582dccd42adca2 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | gridbmap2seg.m | .m | COB-master/src/misc/gridbmap2seg.m | 1,168 | utf_8 | b562f71e7fc7cd58632b58e102d92352 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | cands2labels.m | .m | COB-master/src/misc/cands2labels.m | 1,161 | utf_8 | 25afa1b1605b625e9e52bdf5f58d44d0 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | cands2masks.m | .m | COB-master/src/misc/cands2masks.m | 1,151 | utf_8 | 5cf37d0b2fc2444d3847ffdf1897fbce | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | seg2gridbmap.m | .m | COB-master/src/misc/seg2gridbmap.m | 3,607 | utf_8 | 0b3c006f7e91104d7ff913ef43ad2e9d | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | write_jaccard_to_file.m | .m | COB-master/src/misc/write_jaccard_to_file.m | 971 | utf_8 | 2fc2ae3518e282236cbbf138698342dc | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | ms_matrix2struct.m | .m | COB-master/src/misc/ms_matrix2struct.m | 1,081 | utf_8 | 6cf1068bd393bcf13726c7b9a6e1a21b | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | plot_one_soa.m | .m | COB-master/src/misc/plot_one_soa.m | 979 | utf_8 | 74ea38d669d5eafa379c6758d78a3d70 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | ucm2hier.m | .m | COB-master/src/misc/ucm2hier.m | 2,146 | utf_8 | 9dc38582d5a3b92466d73ddd458d0ff9 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | img2ucms.m | .m | COB-master/src/ucms/img2ucms.m | 3,255 | utf_8 | 8e2377a7dd61be8a0b6fb0ae7181a09f | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ---------------------------------------------------------------------... |
github | kmaninis/COB-master | seg2bdry.m | .m | COB-master/src/ucms/seg2bdry.m | 1,654 | utf_8 | 74e74810d5300e25537eb3602e4cbfea | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% -... |
github | kmaninis/COB-master | resample_ucm2_fast.m | .m | COB-master/src/ucms/resample_ucm2_fast.m | 1,120 | utf_8 | 8114b01775e6d9e09b140e948410cdde | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% ... |
github | kmaninis/COB-master | contours2OWT.m | .m | COB-master/src/ucms/contours2OWT.m | 7,309 | utf_8 | 383d9b5b61eedca5cadcfff386c38da5 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | resample_ucm2_sp.m | .m | COB-master/src/ucms/resample_ucm2_sp.m | 1,887 | utf_8 | c05fc3ae1fb1f76d4fa20089e3d5e737 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% -... |
github | kmaninis/COB-master | project_ucms_wrap_fast.m | .m | COB-master/src/ucms/project_ucms_wrap_fast.m | 1,479 | utf_8 | 9573f82a9437b7f9fa36401c309668d4 | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ---------------------------------------------------------------------... |
github | kmaninis/COB-master | apply_sigmoid.m | .m | COB-master/src/ucms/apply_sigmoid.m | 921 | utf_8 | 0267ef5c72aa92e1314635b39bb6c497 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% -... |
github | kmaninis/COB-master | project_ucms_wrap.m | .m | COB-master/src/ucms/project_ucms_wrap.m | 1,232 | utf_8 | 0106460e313d4614ff996a95ed5703cc | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% -... |
github | kmaninis/COB-master | resample_ucm2.m | .m | COB-master/src/ucms/resample_ucm2.m | 1,516 | utf_8 | 064498828340a2bfd9938b9a8e53b768 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% -... |
github | kmaninis/COB-master | seg2bdry_wt.m | .m | COB-master/src/ucms/seg2bdry_wt.m | 1,661 | utf_8 | fa44358ded48a7a64e1b7469b69a9632 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% -... |
github | kmaninis/COB-master | mask2box.m | .m | COB-master/src/bboxes/mask2box.m | 1,126 | utf_8 | 23385a860e15e6e88314414acb1a8691 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | boxes_iou.m | .m | COB-master/src/bboxes/boxes_iou.m | 530 | utf_8 | 3191fe8b4059676fe014f652c833df41 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% June 2013
% ------------------------------------------------------------------------
function iou = boxes_iou(... |
github | kmaninis/COB-master | box2mask.m | .m | COB-master/src/bboxes/box2mask.m | 1,011 | utf_8 | 23da7e097efeec41a1c7538bd4f57022 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | box_area.m | .m | COB-master/src/bboxes/box_area.m | 893 | utf_8 | e4bd64a43bc47e71e6f6c02207c86505 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | boxes_intersection.m | .m | COB-master/src/bboxes/boxes_intersection.m | 1,344 | utf_8 | 82e36aab8034ef6ceb8bdb2804177478 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | labels2boxes.m | .m | COB-master/src/bboxes/labels2boxes.m | 1,327 | utf_8 | 5f88e7664f04b50897f52dc5eda236d5 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | compute_full_features.m | .m | COB-master/src/proposals/compute_full_features.m | 2,072 | utf_8 | ab0b550c895af707a646b8a7b7532983 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | compute_base_features.m | .m | COB-master/src/proposals/compute_base_features.m | 6,341 | utf_8 | bb7a4fbec9641c701300dde338798853 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | fuse_bpts.m | .m | COB-master/src/proposals/fuse_bpts.m | 2,389 | utf_8 | a9733ab50f5b48eb58b183f668d66ed9 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | full_cands_from_hiers.m | .m | COB-master/src/proposals/full_cands_from_hiers.m | 5,312 | utf_8 | 3e9563c2a1195523e0cea4dc8495bc34 | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | hole_filling.m | .m | COB-master/src/proposals/hole_filling.m | 1,384 | utf_8 | aa2df0c9f6303c43ce4002638476deeb | % ------------------------------------------------------------------------
% Copyright (C)
% Universitat Politecnica de Catalunya BarcelonaTech (UPC) - Spain
% University of California Berkeley (UCB) - USA
%
% Jordi Pont-Tuset <jordi.pont@upc.edu>
% Pablo Arbelaez <arbelaez@berkeley.edu>
% June 2014
% ---------... |
github | kmaninis/COB-master | cob_detect.m | .m | COB-master/src/orient_edges/cob_detect.m | 2,059 | utf_8 | 209dbac246794b58926f96a21768651f | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% Thi... |
github | kmaninis/COB-master | interpolateAngles.m | .m | COB-master/src/orient_edges/interpolateAngles.m | 1,491 | utf_8 | 02181e3b452d1d84670ddb6005167c37 | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% ... |
github | kmaninis/COB-master | cont_orient.m | .m | COB-master/src/orient_edges/cont_orient.m | 3,373 | utf_8 | 6bf132f2b8ef9a8265a304288addd77b | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% Thi... |
github | kmaninis/COB-master | seg2contourlist.m | .m | COB-master/src/orient_edges/seg2contourlist.m | 969 | utf_8 | 62de374024406b2eb74df081abe00e28 | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% ... |
github | kmaninis/COB-master | trainedOrientation.m | .m | COB-master/src/orient_edges/trainedOrientation.m | 1,269 | utf_8 | 8d688576991967db6a238a926d716d3e | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% ... |
github | kmaninis/COB-master | interpolate_confs.m | .m | COB-master/src/orient_edges/interpolate_confs.m | 1,174 | utf_8 | e18a853188a94760a03a3a0b01e44c46 | % ------------------------------------------------------------------------
% Copyright (C)
% ETH Zurich - Switzerland
%
% Kevis-Kokitsi Maninis <kmaninis@vision.ee.ethz.ch>
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% July 2016
% ------------------------------------------------------------------------
% ... |
github | kmaninis/COB-master | db_ids.m | .m | COB-master/src/external/gt_wrappers/db_ids.m | 954 | utf_8 | 8605e2565d35b0bd2f4928ec395628a4 | % ------------------------------------------------------------------------
% Copyright (C)
% ETHZ - Computer Vision Lab
%
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% September 2015
% ------------------------------------------------------------------------
% This file is part of the BOP package presented ... |
github | kmaninis/COB-master | db_root_dir.m | .m | COB-master/src/external/gt_wrappers/db_root_dir.m | 1,069 | utf_8 | a6e9076c459dbd10209dde0111488cd5 | % ------------------------------------------------------------------------
% Copyright (C)
% ETHZ - Computer Vision Lab
%
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% September 2015
% ------------------------------------------------------------------------
% This file is part of the BOP package presented ... |
github | kmaninis/COB-master | db_im.m | .m | COB-master/src/external/gt_wrappers/db_im.m | 2,596 | utf_8 | 0f6df6b0187a696b6b167e4b40e41f4c | % ------------------------------------------------------------------------
% Copyright (C)
% ETHZ - Computer Vision Lab
%
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% September 2015
% ------------------------------------------------------------------------
% This file is part of the BOP package presented ... |
github | kmaninis/COB-master | db_gt.m | .m | COB-master/src/external/gt_wrappers/db_gt.m | 6,497 | utf_8 | 07961709772e45639cce7fefcae2cd8c | % ------------------------------------------------------------------------
% Copyright (C)
% ETHZ - Computer Vision Lab
%
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% September 2015
% ------------------------------------------------------------------------
% This file is part of the BOP package presented ... |
github | kmaninis/COB-master | db_show_sseg.m | .m | COB-master/src/external/gt_wrappers/db_show_sseg.m | 775 | utf_8 | 50503fa6c968f2d500eea15ecff98674 | % ------------------------------------------------------------------------
% Copyright (C)
% ETHZ - Computer Vision Lab
%
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% September 2015
% ------------------------------------------------------------------------
% This file is part of the BOP package presented ... |
github | kmaninis/COB-master | gt_wrappers_root.m | .m | COB-master/src/external/gt_wrappers/gt_wrappers_root.m | 695 | utf_8 | 0c5eaebf5db3b903166b8c7d4609d18b | % ------------------------------------------------------------------------
% Copyright (C)
% ETHZ - Computer Vision Lab
%
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% September 2015
% ------------------------------------------------------------------------
% This file is part of the BOP package presented ... |
github | kmaninis/COB-master | db_show_gt.m | .m | COB-master/src/external/gt_wrappers/db_show_gt.m | 2,187 | utf_8 | 293869490ba1d229a8dc055970d4bf37 | % ------------------------------------------------------------------------
% Copyright (C)
% ETHZ - Computer Vision Lab
%
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% September 2015
% ------------------------------------------------------------------------
% This file is part of the BOP package presented ... |
github | kmaninis/COB-master | pascal_colormap.m | .m | COB-master/src/external/gt_wrappers/misc/pascal_colormap.m | 9,587 | utf_8 | bfa18f10d67cc7fb81faa063f61fe5a0 | % ------------------------------------------------------------------------
% Copyright (C)
% ETHZ - Computer Vision Lab
%
% Jordi Pont-Tuset <jponttuset@vision.ee.ethz.ch>
% September 2015
% ------------------------------------------------------------------------
% This file is part of the BOP package presented ... |
github | kmaninis/COB-master | regRF_predict.m | .m | COB-master/src/external/RF_Reg_C/regRF_predict.m | 2,355 | utf_8 | 902ec69826d5e1a1934282844538ffd4 | %**************************************************************
%* mex interface to Andy Liaw et al.'s C code (used in R package randomForest)
%* Added by Abhishek Jaiantilal ( abhishek.jaiantilal@colorado.edu )
%* License: GPLv2
%* Version: 0.02
%
% Calls Regression Random Forest
% A wrapper matlab file that calls the... |
github | kmaninis/COB-master | regRF_train.m | .m | COB-master/src/external/RF_Reg_C/regRF_train.m | 14,672 | utf_8 | 8e71e57007779bbc8411a1dbd4e845ab | %**************************************************************
%* mex interface to Andy Liaw et al.'s C code (used in R package randomForest)
%* Added by Abhishek Jaiantilal ( abhishek.jaiantilal@colorado.edu )
%* License: GPLv2
%* Version: 0.02
%
% Calls Regression Random Forest
% A wrapper matlab file that calls th... |
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