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setup.m
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setup.m
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function options = setup( )
%% @paths %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
cwd=cd;
cwd(cwd=='\')='/';
options.workDir = cwd;
options.slash = '/'; %% For linux
%% @library paths %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if ~isdeployed
%training
addpath([cwd '/source/train/']);
%testing
addpath([cwd '/source/test/']);
%common
addpath([cwd '/common/io/']);
addpath([cwd '/common/align/']);
addpath([cwd '/common/string/']);
addpath([cwd '/common/manifold/']);
addpath([cwd '/common/err/']);
addpath([cwd '/common/graphic/']);
addpath([cwd '/common/vec/']);
addpath([cwd '/common/desc/']);
addpath([cwd '/common/regression/']);
addpath([cwd '/common/flip/']);
addpath([cwd '/common/eval/']);
%libs
addpath([cwd '/lib/liblinear-1.96/matlab']);
addpath([cwd '/lib/vlfeat/toolbox/']);
addpath([cwd '/lib/vlfeat/bin/glnx86/']);
end
vl_setup();
%% @data preparation %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
options.datasetName = 'w300'; %% 'lfpw', 'helen' or 'w300'
options.trainingImageDataPath = './data/lfpw/trainset/';
options.trainingTruthDataPath = './data/lfpw/trainset/';
options.testingImageDataPath = './data/lfpw/testset/';
options.testingTruthDataPath = './data/lfpw/testset/';
options.learningShape = 0;
options.learningVariation = 0;
options.flipFlag = 1; % the flag of flipping
%% @other folders %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
options.tempPath = 'temp';
options.modelPath = 'model';
%% @training configuration %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
options.canvasSize = [400 400];
options.scaleFactor = 1;
%options.lambda = [1 2 3 4 5 6 7] * 100;
options.lambda = [1 1 1 1 1 1 1] * 0.005;
%% @feature configuration %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
options.descType = 'hog'; % raw, hog (124 dims), xx_sift (128 dims)
options.descSize = [20 20 20 20 20 20 20];
options.descScale = [0.16 0.16 0.16 0.16 0.16 0.16 0.16];
options.descBins = 4;
%% @cascade regression %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
options.n_cascades = 5; % the number of cascades
options.n_init_randoms = 1; % the number of initial randoms
options.n_init_randoms_test = 1; % the number of initial randoms
%% @evaluation %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%options.pts_eval = [1 3 2 4 9 17 11 12 18 10 19 20 21 23 24 25 28];
options.pts_eval = 1:68;
%options.pts_eval = 1:51;
%options.pts_eval = 1:29;
%% 300-W dataset (68)
options.inter_ocular_left_eye_idx = 37:42;
options.inter_ocular_right_eye_idx = 43:48;
%% 300-W dataset (51)
%options.inter_ocular_left_eye_idx = 20:25;
%options.inter_ocular_right_eye_idx = 26:31;
%options.inter_ocular_left_eye_idx = 20;
%options.inter_ocular_right_eye_idx = 29;
%% LFPW dataset
%options.inter_ocular_left_eye_idx = [9 11 13 14 17];
%options.inter_ocular_right_eye_idx = [10 12 15 16 18];