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BuildGTMain.m
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BuildGTMain.m
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function res = BuildGTMain()
close all
clear all
% return
% load nyc_00_00_1
addpath('export_fig');
tform = [];
sv_median_patch = [];
% %% Temp code
% for i = 344 : 346
% figure(1), imshow(uint8(median_patches(:,:,:,i+1)));
% export_fig(sprintf('C:/users/mrw5329/Desktop/motif_%03d.png', i+1));
% end
% return
close all
clear all
city = 'nyc';
match_set = 9;
set = 0;
segment = 0;
median_patches = [];
belonging_img = [];
% currdir = cd;
% image_num = 626;
%
% load(sprintf('../im%d.mat',image_num));
% I = imread(GTPathManager('nyc','original_aerial',0,0,626,0,1));
% I = imrotate(I,180);
% figure(1), imshow(I);
% hold on
%
%% 1. Get valid lattices for each detected facade
% for i = 1 : length(A)
% pts = 8*A(i).corners([1:end 1],:);
% plot(pts(:,1),pts(:,2),'r','linewidth',2);
% % Crop each lattice and save in temp directory
% rect = pts2rect(8*A(i).corners);
% B = imrotate(imcrop(I,rect), 180);
% imwrite(B, GTPathManager('nyc','aerial_lattice_crops',0,0,image_num,i,1));
% figure(2), imshow(B);
% A(i).score
% pause(.001);
% end
% close all
% pause(.01);
%
% cd('C:/Users/mrw5329/Documents/TransSymBased_ACCV10_Park64bJCbu');
% BatchAll(GTPathManager('nyc','aerial_lattice_proposals',0,0,image_num,0,0), GTPathManager('nyc','aerial_lattice_info',0,0,0,0,0), GTPathManager('nyc','aerial_lattice_crops',0,0,image_num,0,0));
% cd(currdir);
% pwd
% %% 2. Find GPS coordinate of each valid lattice
% for i = 1 : length(A)
% load(GTPathManager('nyc','aerial_lattice_info', 0, 0, image_num, i, 1));
% if numel(lats) == 0
% continue
% else
% flag_sums = zeros(size(flags));
% for j = 1 : length(lats)
% flag_sums(j) = sum(sum(flags{j}));
% end
% [~,max_flag] = max(flag_sums);
% lat = lats{max_flag};
% flag = flags{max_flag};
% pt = A(i).corners(1,:) + flippoint(EstimateBottomLocation(flag, lat), pts2rect(8*A(i).corners));
% [matches ,LL] = getLLMatches(image_num, pt);
% disp(LL);
% end
% end
%% 4. Build output of valid lattices
warp_pts = [[1;1], [1;80], [120;1],[120;80]];
for img_num = 0:200
for cam_num = 0:8
disp([img_num, cam_num]);
try
load(GTPathManager(city, 'lattice_info', set, segment, img_num, cam_num, 1));
catch
continue
end
if(length(lats) > 0)
I = imread(GTPathManager(city, 'highres_street', set, segment, img_num, cam_num, 1));
end
temp_sv = lattice_matching(GTPathManager(city, 'highres_street', set, segment, img_num, cam_num, 1),0);
sv_median_patch = [sv_median_patch, temp_sv];
for lat_num = 1 : length(lats)
figure(1), clf, imshow(I);
fillLatticeFromCell(lats{lat_num}, [0 0 1], zeros(size(flags{lat_num})), flags{lat_num}, 3, 5);
lat = lats{lat_num};
flag = flags{lat_num};
while(sum(lat{1,1}) > sum(lat{1,end}) || sum(lat{1,1}) > sum(lat{end,end}) || sum(lat{1,1}) > sum(lat{end,1}))
lat = rot90(lat);
flag = rot90(flag);
end
if(lat{1,end}(1) > lat{end,1}(1))
lat = flipud(lat);
flag = flipud(flag);
end
while(sum(lat{1,1}) > sum(lat{1,end}) || sum(lat{1,1}) > sum(lat{end,end}) || sum(lat{1,1}) > sum(lat{end,1}))
lat = rot90(lat);
flag = rot90(flag);
end
if ~isValid(lat)
continue
end
[II, JJ] = find(flag);
max_I = max(II);
max_J = max(JJ(II == max_I));
min_I = min(II);
min_J = min(JJ(II == min_I));
patches = [];
patch_cnt = 1;
for lat_row = 1 : size(flag,1)-1
for lat_col = 1 : size(flag,2)-1
temp_mat = flag(lat_row : lat_row+1, lat_col : lat_col+1);
if(sum(temp_mat(:)) >= 3)
try
patches(:,:,:,patch_cnt) = build_patch(I, 5*[lat{lat_row, lat_col}, lat{lat_row, lat_col+1}, lat{lat_row+1, lat_col}, lat{lat_row+1, lat_col+1}], warp_pts);
patch_cnt = patch_cnt + 1;
disp('Success!');
catch
disp('Failed!');
end
end
end
end
if ndims(patches) > 3
if length(belonging_img) == 0
median_patches(:,:,:,1) = median(patches, 4);
else
median_patches(:,:,:,end+1) = median(patches, 4);
end
belonging_img{end+1} = sprintf('%04d_%02d_%02d', img_num, cam_num, lat_num);
fprintf('size = %d %d\n',size(median_patches,4), length(belonging_img));
else
continue
end
end
end
end
aerial_patch = build_aerial_patch(city, match_set);
save nyc_00_00_2
% res1 = GTFeatureManager(median_patches, 'edge', aerial_patch);
% res2 = GTFeatureManager(median_patches, 'color', aerial_patch);
% figure, plot(res1, res2, 'r*');
for x = 1 : length(median_patches)
cost(x) = CalcMotifCost(median_patches(:,:,:,x), aerial_patch);
end
scores = otherMethods(sv_median_patch, match_set, city, aerial_patch);
keyboard
end
function scores = otherMethods(sv_median_patch, match_set, city,aerial)
%% Read in aerial stuff
I1 = imread(GTPathManager(city, 'aerial_facade', 0,0,match_set,0,1));
load(GTPathManager(city, 'aerial_facade_lat_info', 0, 0, match_set, 0, 1));
aerial_lats = lats{1};
aerial_flags = flags{1};
%% SIFT (only comment if running bice)
[vpts1, f1] = vl_sift(rgb2gray(I1));
%% ROOT SIFT (comment if not using root sift)
% f1 = f1./repmat(max(f1,2), [size(f1,1), 1]);
% f1 = sqrt(f1);
%
% %% S4 (comment if not using s4)
% f1 = selfsim(rgb2gray(I1), vpts1);
%
%
% %% Bice (comment if not using bice)
% imwrite(aerial,'aerial.png');
% system(sprintf('bice.exe -ma -i aerial.png -o aerial.txt'));
% F = fopen('aerial.txt');
% temp = textscan(F, '%d %d\n');
% num_pts = temp{1};
% dimen = temp{2};
% for i = 1 : num_pts
% textscan(F, '%f %f %f %f %f %f');
% for j = 1 : dimen
% temp = textscan(F, '%d');
% f1(j,i) = temp{1};
% end
% end
% fclose(F);
%% Do SV stuff
for i = 1 : length(sv_median_patch)
for j = 1 : length(sv_median_patch(i).lat_info)
I2 = (imread(sv_median_patch(i).path));
% I2 = imresize(I2, .2);
dom_lats{1} = sv_median_patch(i).lat_info(j).unwarped_lattice;
% I2 = imcrop(I2, [1 1 max([dom_lats{end}{1,1}(1), dom_lats{end}{1,1}(2) dom_lats{end}{1,end}(1), dom_lats{end}{1,end}(2) dom_lats{end}{end,1}(1), dom_lats{end}{end,1}(2) dom_lats{end}{end,end}(1), dom_lats{end}{end,end}(2)]) max([dom_lats{end}{1,1}(1), dom_lats{end}{1,1}(2) dom_lats{end}{1,end}(1), dom_lats{end}{1,end}(2) dom_lats{end}{end,1}(1), dom_lats{end}{end,1}(2) dom_lats{end}{end,end}(1), dom_lats{end}{end,end}(2)]) ]);
I2_gray = rgb2gray(I2);
I2_gray = imwarp(I2_gray, sv_median_patch(i).lat_info(j).tform);
% I2 = imwarp(I2, sv_median_patch(i).lat_info(j).tform);
%% SIFT
[vpts2, f2] = vl_sift(I2_gray);
bounds = [dom_lats{1}{1,1}(1), dom_lats{1}{1,1}(2);
dom_lats{1}{1,end}(1), dom_lats{1}{1,end}(2);
dom_lats{1}{end,1}(1), dom_lats{1}{end,1}(2);
dom_lats{1}{end,end}(1), dom_lats{1}{end,end}(2);
];
in = inpolygon(vpts2(:,2), vpts2(:,1), bounds(:,2), bounds(:,1));
vpts2 = vpts2(in,:);
%% Root SIFT
% f2 = f2./repmat(max(f2,2), [size(f2,1), 1]);
% f2 = sqrt(f2);
% %% S4
% f2 = selfsim(rgb2gray(I1), vpts2);
%
% %% Bice
% imwrite(sv_median_patch.patch(i), 'street.png');
% system(sprintf('bice.exe -ma -i street.png -o street.txt'));
% F = fopen('street.txt');
% temp = textscan(F, '%d %d\n');
% num_pts = temp{1};
% dimen = temp{2};
% for i = 1 : num_pts
% textscan(F, '%f %f %f %f %f %f');
% for j = 1 : dimen
% temp = textscan(F, '%d ');
% f2(j,i) = temp{1};
% end
% end
% fclose(F);
%% Matching
indexPairs = matchFeatures(f1, f2,'MatchThreshold', 10,'MaxRatio', .8 ) ;
matchedPoints1 = f1(indexPairs(:, 1));
matchedPoints2 = f2(indexPairs(:, 2));
scoreSet(i,j) = mean(sqrt(sum(((matchedPoints1 - matchedPoints2).^2),2)));
end
scores(i) = min(scoreSet(i,:));
end
end
function valid = isValid(lat)
vert_vec = 5*lat{1,end} - 5*lat{1,1};
horz_vec = 5*lat{end,1} - 5*lat{1,1};
vert_angle = atand(vert_vec(2)/vert_vec(1))
horz_angle = atand(horz_vec(2)/horz_vec(1))
lat{1,1}(2)
valid = (abs((abs(vert_angle) - 90)) < 10 && abs(horz_angle) < 35) && lat{1,1}(2) < 800/5
end
function vector = getCorrectVectors(city, match_set, belonging_img)
vector = [];
for i = 1 : length(belonging_img)
temp = textscan(belonging_img{i}, '%04d_%02d_%02d');
img_num = temp{1};
cam_num = temp{2};
if exist(GTPathManager(city, 'match_set_img', 0,0, img_num, cam_num, 1, match_set)) || exist(GTPathManager(city, 'match_set_img', 0,0, img_num, cam_num, 1,10));
vector = [vector, i];
end
end
end
function patch = build_aerial_patch(city, match_set)
warp_pts = [[1;1], [1;80], [120;1],[120;80]];
I = imread(GTPathManager(city, 'aerial_facade', 0,0,match_set,0,1));
load(GTPathManager(city, 'aerial_facade_lat_info', 0, 0, match_set, 0, 1));
for lat_num = 5%length(lats)
figure(1), clf, imshow(I);
fillLatticeFromCell(lats{lat_num}, [0 0 1], zeros(size(flags{lat_num})), flags{lat_num}, 3, 1);
lat = lats{lat_num};
flag = flags{lat_num};
while(sum(lat{1,1}) > sum(lat{1,end}) || sum(lat{1,1}) > sum(lat{end,end}) || sum(lat{1,1}) > sum(lat{end,1}))
lat = rot90(lat);
flag = rot90(flag);
end
if(lat{1,end}(1) > lat{end,1})
lat = flipud(lat);
flag = flipud(flag);
end
while(sum(lat{1,1}) > sum(lat{1,end}) || sum(lat{1,1}) > sum(lat{end,end}) || sum(lat{1,1}) > sum(lat{end,1}))
lat = rot90(lat);
flag = rot90(flag);
end
patches = [];
patch_cnt = 1;
size(flag)
for lat_row = 1 : size(flag,1)-1
for lat_col = 1 : size(flag,2)-1
temp_mat = flag(lat_row : lat_row+1, lat_col : lat_col+1);
if(sum(temp_mat(:)) >= 3)
try
patches(:,:,:,patch_cnt) = build_patch(I, [lat{lat_row, lat_col}, lat{lat_row, lat_col+1}, lat{lat_row+1, lat_col}, lat{lat_row+1, lat_col+1}], warp_pts);
patch_cnt = patch_cnt + 1;
disp('Success!');
catch
disp('Failed!');
end
end
end
end
end
patch = median(patches, 4);
end
function patch = build_patch(I, in_pts, out_pts)
patch = zeros(80, 120,3);
tform{end+1} = estimateGeometricTransform(out_pts', in_pts', 'projective');
in_map_cols = 1 : 120;
in_map_cols = repmat(in_map_cols, [80 1]);
in_map_rows = 1 : 80;
in_map_rows = repmat(in_map_rows', [1 120]);
out_map_rows = zeros(size(in_map_rows));
out_map_cols = zeros(size(in_map_cols));
for i = 1 : size(out_map_rows, 1)
for j = 1 : size(out_map_rows, 2)
temp_pt = [in_map_cols(i,j) in_map_rows(i,j) 1]*tform{end}.T;
temp_pt = temp_pt/temp_pt(3);
out_map_rows(i,j) = round(temp_pt(1));
out_map_cols(i,j) = round(temp_pt(2));
patch(i,j,:) = I(round(temp_pt(2)), round(temp_pt(1)),:);
end
end
end
function [matches, LL] = getLLMatches(image_num, pt)
camera_poses = GTPathManager('nyc','camera_poses',0,0,0,0,1);
tCPoses = xml2struct(camera_poses);
curr_dir = cd;
path_params = GTPathManager('nyc','street_params_dir', 0, 0, 0, 0, 0);
cd(GTPathManager('a','MATLABPath',0,0,0,0,0));
[LL, matches] = imcoords2LL(pt(1), pt(2), image_num, tCPoses, 0, path_params);
cd(curr_dir);
end
function pt_out = flippoint(pt, rect)
pt_out = [rect(1) + rect(3) - pt(1), rect(2) + rect(3) - pt(2)];
end
function pt = EstimateBottomLocation(flag, lattice)
lattice = lattice(flag == 1);
lattice_new = zeros(length(lattice),2);
for i = 1 : length(lattice)
a = lattice{i}(1);
b = lattice{i}(2);
lattice_new(i, :) = [a b];
end
lattice = lattice_new;
clear lattice_new
a = max(lattice(:,1));
b = mean(lattice(:,2));
pt = [a b];
end