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convertBlenderTo5D.m
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convertBlenderTo5D.m
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This file is part of the 4D Light Field Benchmark. %
% %
% This work is licensed under the Creative Commons %
% Attribution-NonCommercial-ShareAlike 4.0 International License. %
% To view a copy of this license, %
% visit http://creativecommons.org/licenses/by-nc-sa/4.0/. %
% %
% Authors: Katrin Honauer & Ole Johannsen %
% Contact: contact@lightfield-analysis.net %
% Website: www.lightfield-analysis.net %
% %
% The 4D Light Field Benchmark was jointly created by the University of %
% Konstanz and the HCI at Heidelberg University. If you use any part of %
% the benchmark, please cite our paper "A dataset and evaluation %
% methodology for depth estimation on 4D light fields". Thanks! %
% %
% @inproceedings{honauer2016benchmark, %
% title={A dataset and evaluation methodology for depth estimation on %
% 4D light fields}, %
% author={Honauer, Katrin and Johannsen, Ole and Kondermann, Daniel %
% and Goldluecke, Bastian}, %
% booktitle={Asian Conference on Computer Vision}, %
% year={2016}, %
% organization={Springer} %
% } %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [ outname ] = convertBlenderTo5D( dataFolder,varargin)
%./lib contains the ini parser and the pfm IO files
addpath('./lib');
p = inputParser;
%currently we just have one parameter... so the input parser might seem
%like an overkill
addRequired (p,'dataFolder',@ischar);
parse(p,dataFolder,varargin{:});
dataFolder = p.Results.dataFolder;
%% read ini file
cfgfile=[dataFolder '/parameters.cfg'];
ini = IniConfig();
ini.ReadFile(cfgfile);
sections = ini.GetSections();
for iIni=1:3 %intrinsics extrinsics meta
[keys, ~] = ini.GetKeys(sections{iIni});
values = ini.GetValues(sections{iIni}, keys);
for iKeys=1:length(keys)
LF.parameters.(sections{iIni}(2:end-1)).(keys{iKeys})=values{iKeys};
end
end
LFsize=[LF.parameters.extrinsics.num_cams_y,LF.parameters.extrinsics.num_cams_x,LF.parameters.intrinsics.image_resolution_y_px,LF.parameters.intrinsics.image_resolution_x_px,3];
LF.f=LF.parameters.extrinsics.focus_distance_m*1000;
Hx = LF.parameters.intrinsics.sensor_size_mm*LF.parameters.intrinsics.image_resolution_x_px/max(LF.parameters.intrinsics.image_resolution_x_px,LF.parameters.intrinsics.image_resolution_y_px)/LF.parameters.intrinsics.focal_length_mm*LF.f;
Hy = LF.parameters.intrinsics.sensor_size_mm*LF.parameters.intrinsics.image_resolution_y_px/max(LF.parameters.intrinsics.image_resolution_x_px,LF.parameters.intrinsics.image_resolution_y_px)/LF.parameters.intrinsics.focal_length_mm*LF.f;
centerview=(LFsize(1:2)+1)/2;
% H matrix as in Donald Dansereaus Light Field Toolbox
LF.H=[LF.parameters.extrinsics.baseline_mm 0 0 0 -centerview(1)*LF.parameters.extrinsics.baseline_mm;...
0 LF.parameters.extrinsics.baseline_mm 0 0 -centerview(2)*LF.parameters.extrinsics.baseline_mm;...
0 0 Hy/(LFsize(3)-1) 0 -Hy/2-Hy/(LFsize(3)-1);...
0 0 0 Hx/(LFsize(4)-1) -Hx/2-Hx/(LFsize(4)-1);...
0 0 0 0 1];
imageFiles = dir([dataFolder '/input*.png']);
nfiles = length(imageFiles); % Number of files found
data=imread([dataFolder '/' imageFiles(1).name]);
assert(LFsize(3)==size(data,1),'data dimension missmatch');
assert(LFsize(4)==size(data,2),'data dimension missmatch');
assert(LFsize(5)==size(data,3),'data dimension missmatch');
LF.LF=zeros(LFsize);
for i=1:nfiles
currentfilename=imageFiles(i).name;
data=imread([dataFolder '/' currentfilename]);
data=double(data)/double(intmax(class(data)));
[t,s]=ind2sub(LFsize(1:2),i);
LF.LF(s,t,:,:,:)=data;
end
if exist([dataFolder '/gt_depth_highres.pfm'], 'file') == 2
LF.depth_highres=pfmread([dataFolder '/gt_depth_highres.pfm']);
end
if exist([dataFolder '/gt_disp_highres.pfm'], 'file') == 2
LF.disp_highres=pfmread([dataFolder '/gt_disp_highres.pfm']);
end
if exist([dataFolder '/gt_depth_lowres.pfm'], 'file') == 2
LF.depth_lowres=pfmread([dataFolder '/gt_depth_lowres.pfm']);
end
if exist([dataFolder '/gt_disp_lowres.pfm'], 'file') == 2
LF.disp_lowres=pfmread([dataFolder '/gt_disp_lowres.pfm']);
end
if exist([dataFolder '/gt_oid_highres.png'], 'file') == 2
LF.mask=imread([dataFolder '/gt_oid_highres.png']);
end
if exist([dataFolder '/gt_image_highres.png'], 'file') == 2
LF.centerview=imread([dataFolder '/gt_image_highres.png']);
end
%
% gt_depth_highres
%
if ~isempty(dir([dataFolder '/gt_depth_highres_*.pfm']))
LF.depth_highres_all = getAllPFMViews([dataFolder '/gt_depth_highres_*.pfm'],LFsize);
end
%
% gt_disp_highres
%
if ~isempty(dir([dataFolder '/gt_disp_highres_*.pfm']))
LF.disp_highres_all = getAllPFMViews([dataFolder '/gt_disp_highres_*.pfm'],LFsize);
end
%
% gt_depth_lowres
%
if ~isempty(dir([dataFolder '/gt_depth_lowres_*.pfm']))
LF.depth_lowres_all = getAllPFMViews([dataFolder '/gt_depth_lowres_*.pfm'],LFsize);
end
%
% gt_disp_lowres
%
if ~isempty(dir([dataFolder '/gt_disp_lowres_*.pfm']))
LF.disp_lowres_all = getAllPFMViews([dataFolder '/gt_disp_lowres_*.pfm'],LFsize);
end
%
% objectids_highres
%
if ~isempty(dir([dataFolder '/objectids_highres_*.pfm']))
LF.mask_all = getAllPFMViews([dataFolder '/objectids_highres_*.pfm'],LFsize);
end
if ~isempty(dir([dataFolder '/centerview_highres.png']))
LF.centerview=imread([dataFolder '/centerview_highres.png']);
end
%no normals for now...
% if exist([dataFolder 'gt_normal.png'], 'file') == 2
% LF.normal=imread([dataFolder '/gt_normal.png']);
% LF.normal=single(LF.normal)/single(intmax(class(LF.normal)));
% end
outname=[dataFolder '/LF.mat'];
save(outname,'LF','-v7.3');
end
function [data] = getAllPFMViews(filename,LFsize)
files = dir(filename);
[dataFolder,~,~] = fileparts(filename);
if ~isempty(files)
assert(LFsize(1) * LFsize(2) == length(files),['Dimension mismatch for ' filename '. Expected ' num2str(LFsize(1) * LFsize(2)) ' views, got ' num2str(length(files)) '.']) ;
first = pfmread([dataFolder '/' files(1).name]);
data = zeros(LFsize(1),LFsize(2),size(first,1),size(first,2));
data(1,1,:,:) = first;
for i=2:length(files)
[t,s]=ind2sub(LFsize(1:2),i);
data(s,t,:,:,:) = pfmread([dataFolder '/' files(i).name]);
end
else
data=false;
end
end