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runMcgmOpticalFlow_autoscheduled_lomond.m
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%% This script is written to replicate Alan New Model for computing
%% optical flow with Multichannel Gaussian Model
% Add path for displaying color result
% addpath('/home/lpzal1/Alan_new_model');
close all
setenv('HL_NUM_THREADS','320');
addpath('/storage/cat/mexopencv');
% bufferData: store frame data of predefined temporal buffer
% frmHeight: frame height, frmWidth: frame width,
% noColorChan: number of color channels, noFrm: number of frames
% $$$ vidDirName = ['Stimulus/' testCase '/']; % 'Stimulus/plaid/'
% $$$ testCase = 'newCR3'; noFrm = 200;
% $$$ frmWidth = 320; frmHeight = 240; noColorChan = 3;
% testCase = 'bbaf2n_'; noFrm = 75;
% frmWidth = 360; frmHeight = 288; noColorChan = 3;
% testCase = 'ep0201f_'; noFrm = 44;
% frmWidth = 640; frmHeight = 480; noColorChan = 3;
% testCase = 'h2n2a_'; noFrm = 200;
% frmWidth = 1280/4; frmHeight = 960/3; noColorChan = 3;
% testCase = 'ns01t01_'; noFrm = 66;
% frmWidth = 1280; frmHeight = 720; noColorChan = 3;
% $$$ testCase = 'grating'; noFrm = 128;
% $$$ frmWidth = 128; frmHeight = 128; noColorChan = 3;
testCase = 'Cart_GRAPPA_2_PF_6_8_9fps'
% testCase = 'Cart_GRAPPA_3_PF_5_8_17fps'
% testCase = 'Cart_GRAPPA_3_PF_6_8_12fps' % could not run
% testCase = 'Cart_GRAPPA_4_PF_5_8_22fps'
% testCase = 'Cart_TPAT_2_PF_6_8_9fps'
% testCase = 'Cart_TPAT_3_PF_5_8_16fps'
% testCase = 'Cart_TPAT_3_PF_6_8_11fps'
% testCase = 'Cart_TPAT_4_PF_4_8_16fps'
% testCase = 'Cart_TPAT_4_PF_5_8_15fps'
% testCase = 'Cart_TPAT_4_PF_5_8_15fps_int'
% testCase = 'Cart_TPAT_4_PF_5_8_21fps'
% testCase = 'Cart_TPAT_4_PF_6_8_14fps'
% testCase = 'Cart_TPAT_5_PF_6_8_15fps'
% testCase = 'Cart_TPAT_3_PF_6_8_11fps';
inVidName = ['../FredMRI/' testCase '.mov'];
% frmWidth = 683; frmHeight = 858; noFrm = 100; noColorChan = 3;
% frmWidth = 320; frmHeight = 480; noColorChan = 3;
% inVidName = '../mcgm_halide/Video_stimulus/NINJA2_S001_S001_T001.MOV';
%% Interpolated by Gaussian Blur
% $$$ testCase = 'gratingInterp'; noFrm = 30;
% $$$ frmWidth = 128; frmHeight = 128; noColorChan = 1;
% $$$ testCase = 'newCR3Interp'; noFrm = 32;
% $$$ frmWidth = 320; frmHeight = 240; noColorChan = 1;
vidDirName = ['Stimulus/' testCase '/'];
outVidName = ['results/' testCase '_complexInterpretation_motion.avi'];
vidFileHdl = VideoWriter(outVidName);
vidFileHdl.FrameRate = 10;
% $$$ bufferSize = 23;
% $$$ bufferData = single(zeros(frmHeight,frmWidth,noColorChan,bufferSize));
% $$$ speedData0 = single(zeros(frmHeight,frmWidth,noColorChan,bufferSize));
% $$$ speedData1 = single(zeros(frmHeight,frmWidth,noColorChan, ...
% $$$ bufferSize));
% $$$ speedData2 = single(zeros(frmHeight,frmWidth,noColorChan, ...
% $$$ bufferSize));
%% Process streaming video online
% $$$ % tic
% $$$ figure(1);
% $$$ %% Read data into the buffer
% $$$ for iFrm = 1:noFrm % run for noFrm
% $$$ %% Read data from each of first (offset + bufferSize - 1) frames
% $$$ frameName = [vidDirName, num2str(iFrm,'newCR3%.3d'), '.png'];
% $$$ frameData = im2single(imread(frameName));
% $$$ if iFrm < bufferSize
% $$$ bufferData(:,:,:,iFrm) = frameData;
% $$$ continue;
% $$$ else
% $$$ bufferData = circshift(bufferData,1,4);
% $$$ bufferData(:,:,:,1) = frameData;
% $$$ end
% $$$
% $$$ mcgmOpticalFlow(bufferData,5,3,speedData0,speedData1);
% $$$ subplot(1,2,1); imshow(speedData0(:,:,:,ceil(bufferSize/2)));
% $$$ subplot(1,2,2); imshow(speedData1(:,:,:,ceil(bufferSize/2)));
% $$$
% $$$ % print('test');
% $$$ % $$$ img=outputvelocity(T0n,speed0,speed1,16, speedthreshold, ...
% $$$ % $$$ filterthreshold);
% $$$ end
%% --------------------------------------------------------------------------------------------------
% $$$ %% Displaying with 4-D output
% $$$ inData = single(zeros(frmHeight,frmWidth,noColorChan,noFrm));
% $$$ o0 = single(zeros(frmHeight,frmWidth,noColorChan,noFrm));
% $$$ outVar = 'o0';
% $$$ numOut = 63;
% $$$
% $$$ %% IMPORTANT NOTE: create separate memory places for output
% $$$ %% variables to avoid overwriting on same places
% $$$ for iO = 1:numOut-1
% $$$ eval(['o',num2str(iO),'=single(zeros(frmHeight,frmWidth,noColorChan,noFrm));']);
% $$$ outVar = [outVar,',o',num2str(iO)];
% $$$ end
% $$$
% $$$ for iFrm = 1:noFrm
% $$$ %% Read data from each of first (offset + bufferSize - 1) frames
% $$$ frameName = [vidDirName, num2str(iFrm,'newCR3%.3d'), '.png'];
% $$$ inData(:,:,:,iFrm) = im2single(imread(frameName));
% $$$ end
% $$$
% $$$ eval(['mcgmOpticalFlow(inData,filterthreshold,divisionthreshold,divisionthreshold2,speedthreshold,',outVar,');']);
% $$$
% $$$ %% Display colour channels
% $$$ % figure('units','pixels','position',[0 0 320 480],'Resize','off');
% $$$ figure(1);
% $$$ load('../Alan_new_model/basis_1stframe_mm.mat');
% $$$ for iO = 0:numOut-1
% $$$ eval(['output=o',num2str(iO),';']);
% $$$ title(['Output ',num2str(iO)]);
% $$$ subplot(1,2,1); imshow(tmpOut(:,:,iO+1),[]); title('MATLAB');
% $$$ for iFrm = 1:1
% $$$ subplot(1,2,2); imshow(output(:,:,1,iFrm),[]); ...
% $$$ title('HALIDE');
% $$$ end
% $$$ % saveas(1,['./results/frm_' num2str(iFrm) '.bmp']);
% $$$ pause(1.0);
% $$$ end
%% Display only 1st colour channels
% $$$ figure(1);
% $$$ for iFrm = 1:noFrm
% $$$ for iO = 0:numOut-1
% $$$ subplot(2,2,1); imshow(o0(:,:,1,iFrm),[]); title('Chn1');
% $$$ subplot(2,2,2); imshow(o1(:,:,1,iFrm),[]); title('Chn2');
% $$$ subplot(2,2,3); imshow(o2(:,:,1,iFrm),[]); title('Chn3');
% $$$ pause(1.0/24.0);
% $$$ end
% $$$ end
%% --------------------------------------------------------------------------------------------------
% % Continuous input
% for iFrm = 1:noFrm
% %% Read data from each of first (offset + bufferSize - 1) frames
% % frameName = [vidDirName, num2str(iFrm,'newCR3%.3d'),
% % '.png'];
% frameName = [vidDirName, num2str(iFrm,[testCase '%.3d']), ...
% '.png'];
% %% Use whole frame
% inData(:,:,:,iFrm) = im2single(imread(frameName));
% %% Crop central face
% % tmp = im2single(imread(frameName));
% % inData(:,:,:,iFrm) = tmp((960/2-frmHeight/2):(960/2+frmHeight/2-1),(1280/2-frmWidth/2):(1280/2+frmWidth/2-1),:);
% end
% Continuous Video Input
% v = VideoReader(inVidName);
% iFrm = 0;
% while hasFrame(v)
% iFrm = iFrm + 1;
% inData(:,:,:,iFrm) = im2single(imresize(readFrame(v),[frmHeight frmWidth]));
% end
v = cv.VideoCapture(inVidName);
noFrm = v.FrameCount;
% frmWidth = v.FrameWidth;
% frmHeight = v.FrameHeight;
noColorChan = 3;
inData = single(zeros(frmHeight,frmWidth,noColorChan,noFrm));
for iFrm=1:noFrm
inData(:,:,:,iFrm) = im2single(imresize(v.read(),[frmHeight frmWidth]));
% inData(:,:,:,iFrm) = single(imresize(v.read(),[frmHeight frmWidth]))/single(255);
end
%% Displaying 3-D result
o0 = single(zeros(frmHeight,frmWidth,noFrm));
outVar = 'o0';
numOut = 2;
for iO = 1:numOut-1
eval(['o',num2str(iO),'=single(zeros(frmHeight,frmWidth,noFrm));']);
outVar = [outVar,',o',num2str(iO)];
end
% Jump and smooth input by Gaussian
% $$$ for iFrm = 6:4:noFrm
% $$$ %% Read data from each of first (offset + bufferSize - 1) frames
% $$$ % frameName = [vidDirName, num2str(iFrm,'newCR3%.3d'),
% $$$ % '.png'];
% $$$ frameName = [vidDirName, num2str(iFrm,[testCase '%.3d']), '.png'];
% $$$ inData(:,:,:,iFrm) = im2single(imread(frameName));
% $$$ end
% $$$
% $$$ % Create bluring effect
% $$$ windowWidth = int16(23);
% $$$ gaussFilter = gausswin(windowWidth,1);
% $$$ gaussFilter = gaussFilter / sum(gaussFilter); % Normalize.
% $$$ % inData = inData * 6;
% $$$
% $$$ for indRow = 1:frmHeight
% $$$ for indCol = 1:frmWidth
% $$$ for indChn = 1:noColorChan
% $$$ inData(indRow,indCol,indChn,:) = ...
% $$$ conv(squeeze(inData(indRow,indCol,indChn,:)),gaussFilter,'same');
% $$$ end
% $$$ end
% $$$ end
% $$$ gjVidFileHdl = VideoWriter('./Stimulus/generated_jump.avi');
% $$$ gjVidFileHdl.FrameRate = 5;
% $$$
% $$$ open(gjVidFileHdl);
% $$$ inData = mat2gray(inData);
% $$$ for iFrm = 1:noFrm
% $$$ writeVideo(gjVidFileHdl,inData(:,:,:,iFrm));
% $$$ end
% $$$ close(gjVidFileHdl);
%% Model parameter for motion model
filterthreshold = single(10^(-5)); % 1e-4.8
divisionthreshold = single(1e-30); % 1e-30
divisionthreshold2 = single(0.99); % 1e-25
speedthreshold = single(1e-6); % 1e-6
eval(['mcgmOpticalFlow_v02_autoscheduled(inData,filterthreshold,divisionthreshold,divisionthreshold2,speedthreshold,',outVar,');']);
%% Model parameter for stereo model
% $$$ filterthreshold = single(1e-5); % 1e-4.8
% $$$ divisionthreshold = single(1e-30); % 1e-30
% $$$ divisionthreshold2 = single(0.99); % 1e-25
% $$$ speedthreshold = single(1e-6); % 1e-6
% $$$
% $$$ eval(['mcgmOpticalFlow_v02_stereo(inData,filterthreshold,divisionthreshold,divisionthreshold2,speedthreshold,',outVar,');']);
%% Output with colour conversion
% Alan's wrapping orientation
speed1 = o1; % temporary fix
% $$$ speed1 = speed1 + pi;
speed1 = speed1 + (speed1 >= 2*pi)*(-2*pi);
speed1 = speed1 + (speed1 <= 0)*2*pi;
speed1 = speed1*180/pi;
% figure('units','pixels','position',[0 0 595 479],'Resize','off');
open(vidFileHdl);
for iFrm = 1:noFrm
T0n = rgb2gray(inData(:,:,:,iFrm)); % temporary fix
speed0 = o0(:,:,iFrm);
outImg=outputvelocity(T0n,speed0,speed1(:,:,iFrm),16, speedthreshold, ...
filterthreshold);
% imshow(outImg); F = getframe;
% writeVideo(vidFileHdl,F.cdata);
writeVideo(vidFileHdl,uint8(round(im2single(outImg)*255)));
end
close(vidFileHdl);
%% Creating a video to verify that it has worked
% aviobj = VideoWriter ('test1.avi');
% open(aviobj)
%
% figure()
%
% for k = 1:bufferSize
% imshow(bufferData(:,:,:,k))
% frame = getframe;
% writeVideo(aviobj,frame);
% end
% close (aviobj);