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clear;
path_name = '/home/hyuna/Documents/actionGAN_work/7/7_right_skeleton/';
fileID = fopen('/home/hyuna/Documents/actionGAN_work/7/7_good_right.txt','r');
formatSpec = '%s';
sizeA = [20 Inf];
perfect_list = fscanf(fileID,formatSpec,sizeA);
perfect_list = perfect_list.';
fclose(fileID);
L = length(perfect_list);
for K = 1:L
file_name = char(perfect_list(K,:));
name = strcat(path_name,file_name(1:20),'.skeleton');
disp(name);
[token,remainder] = strtok(file_name,'A');
class = str2num(remainder(2:4));
%class=remainder(2:4);
if class == 7
bodyinfo = read_skeleton_file(name);
frame_num = size(bodyinfo,2);
try
%initialize
cur_subject_x = zeros(frame_num, 25);
cur_subject_y = zeros(frame_num, 25);
cur_subject_z = zeros(frame_num, 25);
tot_x = zeros(frame_num,25);
tot_y = zeros(frame_num,25);
tot_z = zeros(frame_num,25);
joint_5 = zeros(1,3);
joint_9 = zeros(1,3);
joint_1 = zeros(1,3);
joint_3 = zeros(1,3);
%get total joints information
for FN = 1:frame_num
cur_body = bodyinfo(FN).bodies(1);
joints = cur_body.joints;
for JN = 1:25
tot_x(FN,JN) = joints(JN).x;
tot_y(FN,JN) = joints(JN).y;
tot_z(FN,JN) = joints(JN).z;
end
end
%Orientation normalization 1 : in space
%get median values
M_x = median(tot_x);
M_y = median(tot_y);
M_z = median(tot_z);
%set 3 points for make plane
joint_5 = [M_x(5) M_y(5) M_z(5)];
joint_9 = [M_x(9) M_y(9) M_z(9)];
joint_1 = [M_x(1) M_y(1) M_z(1)];
joint_3 = [M_x(3) M_y(3) M_z(3)];
%find RIGID TRNASFORMATION matrix
d1 = joint_1 - joint_5;
d2 = joint_1 - joint_9;
n1 = cross(d1,d2); % because we will parallel transform, don't need to find belly
u1 = n1/norm(n1);
u2 = [0 0 1];
cs1 = dot(u1,u2)/norm(u1)*norm(u2);
ss1 = sqrt(1-cs1.^2);
v1 = cross(u1,u2)/norm(cross(u1,u2));
R1 = [v1(1)*v1(1)*(1-cs1)+cs1 v1(1)*v1(2)*(1-cs1)-v1(3)*ss1 v1(1)*v1(3)*(1-cs1)+v1(2)*ss1];
R1(2,:) = [v1(1)*v1(2)*(1-cs1)+v1(3)*ss1 v1(2)*v1(2)*(1-cs1)+cs1 v1(2)*v1(3)*(1-cs1)-v1(1)*ss1];
R1(3,:) = [v1(1)*v1(3)*(1-cs1)-v1(2)*ss1 v1(2)*v1(3)*(1-cs1)+v1(1)*ss1 v1(3)*v1(3)*(1-cs1)+cs1];
%1-3 number tolls to parallel x axis. Rigid transformation on plane surface
%Z axis coords oyler angle transform
t = joint_3 - joint_1;
d3 = R1(1,:) * t.';
d3(1,2) = R1(2,:) * t.';
d3(1,3) = R1(3,:) * t.';
u3 = d3(1:2)/norm(d3(1:2));
v3 = [u3(1) -u3(2)];
v3(2,:) = [u3(2) u3(1)];
u4 = [1 0].';
csss = v3\u4;
cs2 = csss(1);
ss2 = csss(2);
R2 = [cs2 -ss2 0];
R2(2,:) = [ss2 cs2 0];
R2(3,:) = [0 0 1];
%apply rigid transformation
for FN = 1:frame_num
cur_body = bodyinfo(FN).bodies(1);
joints = cur_body.joints;
for JN = 1:25
a = R1(1,:) * [joints(JN).x joints(JN).y joints(JN).z].';
b = R1(2,:) * [joints(JN).x joints(JN).y joints(JN).z].';
c = R1(3,:) * [joints(JN).x joints(JN).y joints(JN).z].';
cur_subject_x(FN,JN) = R2(1,:) * [a b c].';
cur_subject_y(FN,JN) = R2(2,:) * [a b c].';
cur_subject_z(FN,JN) = R2(3,:) * [a b c].';
end
end
%orientation normalize 2 in plane surface
if cur_subject_x(1,4) < cur_subject_x(1,1)
cur_subject_x = 0 - cur_subject_x;
end
if cur_subject_y(1,9) > cur_subject_y(1,5)
cur_subject_y = 0 - cur_subject_y;
end
% for save origin subjects before data augment
clear_subject_x = cur_subject_x;
clear_subject_y = cur_subject_y;
clear_subject_z = cur_subject_z;
% Left <-> Right Change : 2option
for LR = 1:2
if LR == 1
augment_y = clear_subject_y;
else
augment_y = 0 - clear_subject_y;
end
%Height change : 3option
for HE = 1:3
if HE == 1
augment_x = clear_subject_x.* 1.2;
elseif HE==2
augment_x = clear_subject_x.* 1.0;
else
augment_x = clear_subject_x.* 0.8;
end
%Give Gaussian Random Variable : 0.01 - 6times
for RV = 1:75
%3. Gaussian Random filter 0.1
cur_subject_x = augment_x + 0.01.*randn(frame_num,25);
cur_subject_y = augment_y + 0.01.*randn(frame_num,25);
cur_subject_z = clear_subject_z + 0.01.*randn(frame_num,25);
% NORMALIZATION
cur_subject_x = cur_subject_x - min(cur_subject_x(:));
max_tall = max(cur_subject_x(:));
cur_subject_x = cur_subject_x ./ max_tall;
cur_subject_y = cur_subject_y - min(cur_subject_y(:));
cur_subject_y = cur_subject_y ./ max_tall;
cur_subject_z = cur_subject_z - min(cur_subject_z(:));
cur_subject_z = cur_subject_z ./ max_tall;
%Write image
motionpatch = cur_subject_x;
motionpatch(:,:,2) = cur_subject_y;
motionpatch(:,:,3) = cur_subject_z;
new_file_name = strcat('/home/hyuna/Documents/actionGAN_work/7/7_augment_right/',file_name(1:20),'_',num2str(LR),num2str(HE),num2str(RV),'.png');
imwrite(motionpatch,new_file_name);
end
end
end
catch
name
end
end
end
\ No newline at end of file
% 맨처음 방향 (frame1) 으로 일괄 orientation normalize
% => 1번프레임이 아니라 프레임들의 중앙값
% 키로 모든방향 normalize
% 노멀라이즈시 최소값 빼는게 아니라 joint1-> 0.5/0.5/0.5로 가도록
% 실험할때 전방향 노멀라이즈도 해봐야겠다..
path_name ='/home/hyuna/Documents/actionGAN_work/24/24_all_skeleton/';
dinfo=dir('/home/hyuna/Documents/actionGAN_work/24/24_all_skeleton/S007C002P016R002A024.skeleton');
%txt=fullfile(dir_to_search, '*.skeleton');
%dinfo=dir(txt);
count=[0,0,0];
for d = 1: length(dinfo)
label=-1;
file_name = dinfo(d).name;
% disp(name);
name = strcat(path_name,file_name(1:20),'.skeleton');
[token,remainder] = strtok(file_name,'A');
class = str2num(remainder(2:4));
%class=remainder(2:4);
if class == 24
bodyinfo = read_skeleton_file(name);
frame_num = size(bodyinfo,2);
else
continue;
end
if isempty(bodyinfo) || isempty(bodyinfo(1).bodies())
disp("empty body");
newdir='/home/hyuna/Documents/actionGAN_work/24/24_emptybody.txt';
txtfile=fopen(newdir,'a');
fprintf(txtfile, file_name(1:20));
fprintf(txtfile, '\n');
fclose(txtfile);
count(1)=count(1)+1;
continue;
end
%initialize
cur_subject_x = zeros(frame_num, 25);
cur_subject_y = zeros(frame_num, 25);
cur_subject_z = zeros(frame_num, 25);
tot_x = zeros(frame_num,25);
tot_y = zeros(frame_num,25);
tot_z = zeros(frame_num,25);
joint_5 = zeros(1,3);
joint_9 = zeros(1,3);
joint_1 = zeros(1,3);
joint_3 = zeros(1,3);
%get total joints information
for FN = 1:frame_num
cur_body = bodyinfo(FN).bodies(1);
joints = cur_body.joints;
for JN = 1:25
tot_x(FN,JN) = joints(JN).x;
tot_y(FN,JN) = joints(JN).y;
tot_z(FN,JN) = joints(JN).z;
end
end
%Orientation normalization 1 : in space
%get median values
M_x = median(tot_x);
M_y = median(tot_y);
M_z = median(tot_z);
%set 3 points for make plane
joint_5 = [M_x(5) M_y(5) M_z(5)];
joint_9 = [M_x(9) M_y(9) M_z(9)];
joint_1 = [M_x(1) M_y(1) M_z(1)];
joint_3 = [M_x(3) M_y(3) M_z(3)];
%find RIGID TRNASFORMATION matrix
d1 = joint_1 - joint_5;
d2 = joint_1 - joint_9;
n1 = cross(d1,d2); % because we will parallel transform, don't need to find belly
u1 = n1/norm(n1);
u2 = [0 0 1];
cs1 = dot(u1,u2)/norm(u1)*norm(u2);
ss1 = sqrt(1-cs1.^2);
v1 = cross(u1,u2)/norm(cross(u1,u2));
R1 = [v1(1)*v1(1)*(1-cs1)+cs1 v1(1)*v1(2)*(1-cs1)-v1(3)*ss1 v1(1)*v1(3)*(1-cs1)+v1(2)*ss1];
R1(2,:) = [v1(1)*v1(2)*(1-cs1)+v1(3)*ss1 v1(2)*v1(2)*(1-cs1)+cs1 v1(2)*v1(3)*(1-cs1)-v1(1)*ss1];
R1(3,:) = [v1(1)*v1(3)*(1-cs1)-v1(2)*ss1 v1(2)*v1(3)*(1-cs1)+v1(1)*ss1 v1(3)*v1(3)*(1-cs1)+cs1];
%1-3 number tolls to parallel x axis. Rigid transformation on plane surface
%Z axis coords oyler angle transform
t = joint_3 - joint_1;
d3 = R1(1,:) * t.';
d3(1,2) = R1(2,:) * t.';
d3(1,3) = R1(3,:) * t.';
u3 = d3(1:2)/norm(d3(1:2));
v3 = [u3(1) -u3(2)];
v3(2,:) = [u3(2) u3(1)];
u4 = [1 0].';
csss = v3\u4;
cs2 = csss(1);
ss2 = csss(2);
R2 = [cs2 -ss2 0];
R2(2,:) = [ss2 cs2 0];
R2(3,:) = [0 0 1];
%apply rigid transformation
for FN = 1:frame_num
cur_body = bodyinfo(FN).bodies(1);
joints = cur_body.joints;
for JN = 1:25
a = R1(1,:) * [joints(JN).x joints(JN).y joints(JN).z].';
b = R1(2,:) * [joints(JN).x joints(JN).y joints(JN).z].';
c = R1(3,:) * [joints(JN).x joints(JN).y joints(JN).z].';
cur_subject_x(FN,JN) = R2(1,:) * [a b c].';
cur_subject_y(FN,JN) = R2(2,:) * [a b c].';
cur_subject_z(FN,JN) = R2(3,:) * [a b c].';
end
end
%orientation normalize 2 (with plane surface)
if cur_subject_x(1,4) < cur_subject_x(1,1)
cur_subject_x = 0 - cur_subject_x;
end
if cur_subject_y(1,9) > cur_subject_y(1,5)
cur_subject_y = 0 - cur_subject_y;
end
% for save origin subjects before data augment
clear_subject_x = cur_subject_x;
clear_subject_y = cur_subject_y;
clear_subject_z = cur_subject_z;
% patch_num*25
red=[4,3,21,2,1];
green=[5,6,7,8,23,22];
blue=[9,10,11,12,25,24];
yellow=[17,18,19,20];
skyblue=[13,14,15,16];
target = {skyblue,yellow,green,blue};
[r,c]=size(target);
%celldisp(target);
%disp(c);
%disp(target{1});
% joint-to-joint
for tar_index = 1:c
diff_ave = comp_aver(clear_subject_x,clear_subject_y,clear_subject_z,frame_num,target{tar_index});
if label~=0
label=set_label(diff_ave,0.13);
end
if label==0 %bad
disp(file_name(1:20));
disp("difference");
disp(tar_index);
%disp(target(tar_index));
disp(diff_ave);
end
end
% reds(head-spine) shoud be parallel to z
% 4 3 21 2 1
max_t=[];
for j = 1: length(red)-1
theta_per_patch=[];
for patch = 1:frame_num
u = [clear_subject_x(patch, red(j+1))-clear_subject_x(patch, red(j)),clear_subject_y(patch, red(j+1))-clear_subject_y(patch, red(j)),clear_subject_z(patch, red(j+1))-clear_subject_z(patch, red(j))];
% v = axis z
v = [0,0,1];
% angle between [vector joint to joint] and [axis z]
theta = atan2(norm(cross(u,v)),dot(u,v));
%if theta > 90
%theta = theta - 90;
%end
%print all the theta and max of it.
%disp(theta);
theta_per_patch=[theta_per_patch, theta];
end
% maximum theta for each bones through all the patches
% max_t[4]
max_t = [max_t,max(theta_per_patch)];
clear theta_per_patch;
end
%disp("max");
%disp(max_t);
% usually 1.6<max angle<=1.8
if label~=0
label=set_label(max_t,1.8);
end
% green, blue(arms) should be located in almost the same position at the
% beginning and end of motion.
%print a distance between starting and ending coords
g_distance=loc_end_to_end(clear_subject_x,clear_subject_y,clear_subject_z,frame_num,skyblue);
b_distance=loc_end_to_end(clear_subject_x,clear_subject_y,clear_subject_z,frame_num,yellow);
% only use just 2 joints at the tip of arms(hands)
g_end=g_distance(end-1:end);
b_end=b_distance(end-1:end);
if label~=0
label=set_label(g_end,0.7);
end
% check if label is still 'good'
if label~=0
label=set_label(b_end,0.7);
end
% save good and bad examples seperately
newdir='';
if label==0 % bad
newdir='/home/hyuna/Documents/actionGAN_work/24/24_bad.txt';
count(2)=count(2)+1;
else
newdir='/home/hyuna/Documents/actionGAN_work/24/24_good.txt';
count(3)=count(3)+1;
copyfile(name,'/home/hyuna/Documents/actionGAN_work/24/24_good_skeleton');
major =major_limb(clear_subject_z, skyblue, yellow);
if(major==skyblue)
s_dir='/home/hyuna/Documents/actionGAN_work/24/good_right.txt';
copyfile(name,'/home/hyuna/Documents/actionGAN_work/24/24_right_skeleton');
else
s_dir='/home/hyuna/Documents/actionGAN_work/24/good_left.txt';
copyfile(name,'/home/hyuna/Documents/actionGAN_work/24/24_left_skeleton');
end
split=fopen(s_dir,'a');
fprintf(split, file_name(1:20));
fprintf(split, '\n');
fclose(split);
end
txtfile=fopen(newdir,'a');
fprintf(txtfile, file_name(1:20));
fprintf(txtfile, '\n');
fclose(txtfile);
end
% number of [emptybody, bad, good]
disp(count);
function setlabel=set_label(target,value)
if target(target>value) %bad
label=0;
else
label=1;
end
setlabel=label;
end
function loc_end=loc_end_to_end(clear_subject_x,clear_subject_y,clear_subject_z,frame_num,target)
distance = []
for j = 1: length(target)
x_=clear_subject_x(1, target(j))-clear_subject_x(frame_num, target(j));
y_=clear_subject_y(1, target(j))-clear_subject_y(frame_num, target(j));
z_=clear_subject_z(1, target(j))-clear_subject_z(frame_num, target(j));
d=sqrt(x_*x_+y_*y_+z_*z_);
distance=[distance,d];
end
loc_end =distance;
% disp(distance);
end
function comp_ave =comp_aver(clear_subject_x,clear_subject_y,clear_subject_z, frame_num,target)
for j = 1: length(target)
% distance between a particular joint and average coordinate per patch
dist_ave=[];
for patch = 2:frame_num-1
ave_x=(clear_subject_x(patch-1,target(j))+clear_subject_x(patch+1,target(j)))/2;
ave_y=(clear_subject_y(patch-1,target(j))+clear_subject_y(patch+1,target(j)))/2;
ave_z=(clear_subject_z(patch-1,target(j))+clear_subject_z(patch+1,target(j)))/2;
% distance between joint and average
jnt_ave = sqrt((abs(clear_subject_x(patch, target(j))-ave_x)).^2+ (abs(clear_subject_y(patch, target(j))-ave_y)).^2+ (abs(clear_subject_z(patch, target(j))-ave_z)).^2);
dist_ave=[dist_ave,jnt_ave];
end
end
comp_ave=dist_ave;
end
function limb= major_limb(clear_subject_z, target1, target2)
z1=max(clear_subject_z(:,target1(end))) - clear_subject_z(1, target1(end));
z2=max(clear_subject_z(:,target2(end))) - clear_subject_z(1, target2(end));
if z1>z2 % target1 raised higher than t2
limb=target1;
else
limb=target2;
end
end
clear;
path_name = '/media/hyuna/F4722E97722E5F1C/21.nturgb+d_skeletons/';
fileID = fopen('/media/hyuna/F4722E97722E5F1C/sk.txt','r');
formatSpec = '%s';
sizeA = [20 Inf];
perfect_list = fscanf(fileID,formatSpec,sizeA);
perfect_list = perfect_list.';
fclose(fileID);
L = length(perfect_list);
for K = 1:L
file_name = char(perfect_list(K,:));
name = strcat(path_name,file_name(1:20),'.skeleton');
disp(name);
[token,remainder] = strtok(file_name,'A');
class = str2num(remainder(2:4));
%class=remainder(2:4);
if class == 7
bodyinfo = read_skeleton_file(name);
frame_num = size(bodyinfo,2);
try
%initialize
cur_subject_x = zeros(frame_num, 25);
cur_subject_y = zeros(frame_num, 25);
cur_subject_z = zeros(frame_num, 25);
tot_x = zeros(frame_num,25);
tot_y = zeros(frame_num,25);
tot_z = zeros(frame_num,25);
joint_5 = zeros(1,3);
joint_9 = zeros(1,3);
joint_1 = zeros(1,3);
joint_3 = zeros(1,3);
%get total joints information
for FN = 1:frame_num
cur_body = bodyinfo(FN).bodies(1);
joints = cur_body.joints;
for JN = 1:25
tot_x(FN,JN) = joints(JN).x;
tot_y(FN,JN) = joints(JN).y;
tot_z(FN,JN) = joints(JN).z;
end
end
%Orientation normalization 1 : in space
%get median values
M_x = median(tot_x);
M_y = median(tot_y);
M_z = median(tot_z);
%set 3 points for make plane
joint_5 = [M_x(5) M_y(5) M_z(5)];
joint_9 = [M_x(9) M_y(9) M_z(9)];
joint_1 = [M_x(1) M_y(1) M_z(1)];
joint_3 = [M_x(3) M_y(3) M_z(3)];
%find RIGID TRNASFORMATION matrix
d1 = joint_1 - joint_5;
d2 = joint_1 - joint_9;
n1 = cross(d1,d2); % because we will parallel transform, don't need to find belly
u1 = n1/norm(n1);
u2 = [0 0 1];
cs1 = dot(u1,u2)/norm(u1)*norm(u2);
ss1 = sqrt(1-cs1.^2);
v1 = cross(u1,u2)/norm(cross(u1,u2));
R1 = [v1(1)*v1(1)*(1-cs1)+cs1 v1(1)*v1(2)*(1-cs1)-v1(3)*ss1 v1(1)*v1(3)*(1-cs1)+v1(2)*ss1];
R1(2,:) = [v1(1)*v1(2)*(1-cs1)+v1(3)*ss1 v1(2)*v1(2)*(1-cs1)+cs1 v1(2)*v1(3)*(1-cs1)-v1(1)*ss1];
R1(3,:) = [v1(1)*v1(3)*(1-cs1)-v1(2)*ss1 v1(2)*v1(3)*(1-cs1)+v1(1)*ss1 v1(3)*v1(3)*(1-cs1)+cs1];
%1-3 number tolls to parallel x axis. Rigid transformation on plane surface
%Z axis coords oyler angle transform
t = joint_3 - joint_1;
d3 = R1(1,:) * t.';
d3(1,2) = R1(2,:) * t.';
d3(1,3) = R1(3,:) * t.';
u3 = d3(1:2)/norm(d3(1:2));
v3 = [u3(1) -u3(2)];
v3(2,:) = [u3(2) u3(1)];
u4 = [1 0].';
csss = v3\u4;
cs2 = csss(1);
ss2 = csss(2);
R2 = [cs2 -ss2 0];
R2(2,:) = [ss2 cs2 0];
R2(3,:) = [0 0 1];
%apply rigid transformation
for FN = 1:frame_num
cur_body = bodyinfo(FN).bodies(1);
joints = cur_body.joints;
for JN = 1:25
a = R1(1,:) * [joints(JN).x joints(JN).y joints(JN).z].';
b = R1(2,:) * [joints(JN).x joints(JN).y joints(JN).z].';
c = R1(3,:) * [joints(JN).x joints(JN).y joints(JN).z].';
cur_subject_x(FN,JN) = R2(1,:) * [a b c].';
cur_subject_y(FN,JN) = R2(2,:) * [a b c].';
cur_subject_z(FN,JN) = R2(3,:) * [a b c].';
end
end
%orientation normalize 2 in plane surface
if cur_subject_x(1,4) < cur_subject_x(1,1)
cur_subject_x = 0 - cur_subject_x;
end
if cur_subject_y(1,9) > cur_subject_y(1,5)
cur_subject_y = 0 - cur_subject_y;
end
% for save origin subjects before data augment
clear_subject_x = cur_subject_x;
clear_subject_y = cur_subject_y;
clear_subject_z = cur_subject_z;
% Left <-> Right Change : 2option
for LR = 1:2
if LR == 1
augment_y = clear_subject_y;
else
augment_y = 0 - clear_subject_y;
end
%Height change : 3option
for HE = 1:3
if HE == 1
augment_x = clear_subject_x.* 1.2;
elseif HE==2
augment_x = clear_subject_x.* 1.0;
else
augment_x = clear_subject_x.* 0.8;
end
%Give Gaussian Random Variable : 0.01 - 6times
for RV = 1:6
%3. Gaussian Random filter 0.1
cur_subject_x = augment_x + 0.01.*randn(frame_num,25);
cur_subject_y = augment_y + 0.01.*randn(frame_num,25);
cur_subject_z = clear_subject_z + 0.01.*randn(frame_num,25);
% NORMALIZATION
cur_subject_x = cur_subject_x - min(cur_subject_x(:));
max_tall = max(cur_subject_x(:));
cur_subject_x = cur_subject_x ./ max_tall;
cur_subject_y = cur_subject_y - min(cur_subject_y(:));
cur_subject_y = cur_subject_y ./ max_tall;
cur_subject_z = cur_subject_z - min(cur_subject_z(:));
cur_subject_z = cur_subject_z ./ max_tall;
%Write image
motionpatch = cur_subject_x;
motionpatch(:,:,2) = cur_subject_y;
motionpatch(:,:,3) = cur_subject_z;
new_file_name = strcat('/home/hyuna/Documents/actionGAN_work/24/24_kicking',file_name(1:20),'_',num2str(LR),num2str(HE),num2str(RV),'.png');
imwrite(motionpatch,new_file_name);
end
end
end
catch
name
end
end
end
clear;
path_name = '/media/hyuna/F4722E97722E5F1C/21.nturgb+d_skeletons/';
fileID = fopen('/media/hyuna/F4722E97722E5F1C/sk.txt','r');
formatSpec = '%s';
sizeA = [20 Inf];
perfect_list = fscanf(fileID,formatSpec,sizeA);
perfect_list = perfect_list.';
fclose(fileID);
L = length(perfect_list);
for K = 1:L
file_name = char(perfect_list(K,:));
name = strcat(path_name,file_name(1:20),'.skeleton');
[token,remainder] = strtok(file_name,'A');
class = str2num(remainder(2:4));
%class=remainder(2:4);
if class == 7
disp(name);
bodyinfo = read_skeleton_file(name);
frame_num = size(bodyinfo,2);
try
%initialize
cur_subject_x = zeros(frame_num, 25);
cur_subject_y = zeros(frame_num, 25);
cur_subject_z = zeros(frame_num, 25);
tot_x = zeros(frame_num,25);
tot_y = zeros(frame_num,25);
tot_z = zeros(frame_num,25);
joint_5 = zeros(1,3);
joint_9 = zeros(1,3);
joint_1 = zeros(1,3);
joint_3 = zeros(1,3);
%get total joints information
for FN = 1:frame_num
cur_body = bodyinfo(FN).bodies(1);
joints = cur_body.joints;
for JN = 1:25
tot_x(FN,JN) = joints(JN).x;
tot_y(FN,JN) = joints(JN).y;
tot_z(FN,JN) = joints(JN).z;
end
end
%Orientation normalization 1 : in space
%get median values
M_x = median(tot_x);
M_y = median(tot_y);
M_z = median(tot_z);
%set 3 points for make plane
joint_5 = [M_x(5) M_y(5) M_z(5)];
joint_9 = [M_x(9) M_y(9) M_z(9)];
joint_1 = [M_x(1) M_y(1) M_z(1)];
joint_3 = [M_x(3) M_y(3) M_z(3)];
%find RIGID TRNASFORMATION matrix
d1 = joint_1 - joint_5;
d2 = joint_1 - joint_9;
n1 = cross(d1,d2); % because we will parallel transform, don't need to find belly
u1 = n1/norm(n1);
u2 = [0 0 1];
cs1 = dot(u1,u2)/norm(u1)*norm(u2);
ss1 = sqrt(1-cs1.^2);
v1 = cross(u1,u2)/norm(cross(u1,u2));
R1 = [v1(1)*v1(1)*(1-cs1)+cs1 v1(1)*v1(2)*(1-cs1)-v1(3)*ss1 v1(1)*v1(3)*(1-cs1)+v1(2)*ss1];
R1(2,:) = [v1(1)*v1(2)*(1-cs1)+v1(3)*ss1 v1(2)*v1(2)*(1-cs1)+cs1 v1(2)*v1(3)*(1-cs1)-v1(1)*ss1];
R1(3,:) = [v1(1)*v1(3)*(1-cs1)-v1(2)*ss1 v1(2)*v1(3)*(1-cs1)+v1(1)*ss1 v1(3)*v1(3)*(1-cs1)+cs1];
%1-3 number tolls to parallel x axis. Rigid transformation on plane surface
%Z axis coords oyler angle transform
t = joint_3 - joint_1;
d3 = R1(1,:) * t.';
d3(1,2) = R1(2,:) * t.';
d3(1,3) = R1(3,:) * t.';
u3 = d3(1:2)/norm(d3(1:2));
v3 = [u3(1) -u3(2)];
v3(2,:) = [u3(2) u3(1)];
u4 = [1 0].';
csss = v3\u4;
cs2 = csss(1);
ss2 = csss(2);
R2 = [cs2 -ss2 0];
R2(2,:) = [ss2 cs2 0];
R2(3,:) = [0 0 1];
%apply rigid transformation
for FN = 1:frame_num
cur_body = bodyinfo(FN).bodies(1);
joints = cur_body.joints;
for JN = 1:25
a = R1(1,:) * [joints(JN).x joints(JN).y joints(JN).z].';
b = R1(2,:) * [joints(JN).x joints(JN).y joints(JN).z].';
c = R1(3,:) * [joints(JN).x joints(JN).y joints(JN).z].';
cur_subject_x(FN,JN) = R2(1,:) * [a b c].';
cur_subject_y(FN,JN) = R2(2,:) * [a b c].';
cur_subject_z(FN,JN) = R2(3,:) * [a b c].';
end
end
%orientation normalize 2 in plane surface
if cur_subject_x(1,4) < cur_subject_x(1,1)
cur_subject_x = 0 - cur_subject_x;
end
if cur_subject_y(1,9) > cur_subject_y(1,5)
cur_subject_y = 0 - cur_subject_y;
end
% for save origin subjects before data augment
clear_subject_x = cur_subject_x;
clear_subject_y = cur_subject_y;
clear_subject_z = cur_subject_z;
% NORMALIZATION
cur_subject_x = cur_subject_x - min(cur_subject_x(:));
max_tall = max(cur_subject_x(:))*2;
cur_subject_x = cur_subject_x ./ max_tall;
cur_subject_y = cur_subject_y - min(cur_subject_y(:));
cur_subject_y = cur_subject_y ./ max_tall;
cur_subject_z = cur_subject_z - min(cur_subject_z(:));
cur_subject_z = cur_subject_z ./ max_tall;
%Write image
motionpatch = cur_subject_x;
motionpatch(:,:,2) = cur_subject_y;
motionpatch(:,:,3) = cur_subject_z;
new_file_name = strcat('/home/hyuna/Documents/actionGAN_work/',file_name(1:20),'.png');
imwrite(motionpatch,new_file_name);
%copyfile(name,'/home/hyuna/Documents/actionGAN_work/24/24_all_skeleton');
catch
name
end
end
end