R6289/test.m
1ee37a48d7feworkstation

test.m
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			close all;
			clear all;
			warn = warning ('off','all');
			poolobj = gcp('nocreate');
			if isempty(poolobj)
			parpool;
			end
			pctRunOnAll warning('off','all')

			%% Parameters
			param = default_parameters();
			param.lambda = 1000; % Regularization parameter
			param.gamma = 100; % Sets the strength of the feature matching constraint

			%% Input - Output
			type=0; % 0 for Mac users, 1 for Linux users
			fnMatch='data/1_Horizontal_VNC/tdTom.tif'; % Sequence used for the feature matching similarity term
			fnIn1='data/1_Horizontal_VNC/GC6s.tif'; % Sequence used for the brightness constancy term
			fnIn2='data/1_Horizontal_VNC/tdTom.tif'; % Sequence warped with the motion field estimated from fnIn1 and fnMatch
			N=3; % Motion is estimated on frames 1 to N. If N=-1, motion is estimated on
			% the whole sequence
			fnSave='results/test/'; % Folder where the results are saved
			mkdir(fnSave);

			fnOut1=[fnSave,'warped1.tif']; % Sequence fnIn1 warped
			fnOut2=[fnSave,'warped2.tif']; % Sequence fnIn2 warped
			fnColor=[fnSave,'colorFlow.tif']; % Color visualization of the motion field

			if type==0
			fnDeepMatching='code/external/deepmatching_1.2.2_c++_mac';
			elseif type==1
			fnDeepMatching='code/external/deepmatching_1.2.2_c++_linux';
			end
			addpath(fnDeepMatching);

			%% Perform motion compensation
			motion_compensate(fnIn1,fnIn2,fnMatch,fnDeepMatching,fnOut1,fnOut2,fnColor,N,param);