From 04348e565cad0f826e62056012681f7adc851e4a Mon Sep 17 00:00:00 2001 From: dolendravikas <8112001@gmail.com> Date: Fri, 1 Oct 2021 01:30:03 +0530 Subject: [PATCH] Script files and the algorithms for AR tag detection in ral time are added at scripts directory --- .../AR tag detection/samples/0_input.jpg | Bin 0 -> 4970794 bytes algorithms/AR tag detection/samples/1.png | Bin 0 -> 26569 bytes algorithms/AR tag detection/samples/12.png | Bin 0 -> 42476 bytes algorithms/AR tag detection/samples/13.png | Bin 0 -> 1527 bytes algorithms/AR tag detection/samples/14.png | Bin 0 -> 1974 bytes algorithms/AR tag detection/samples/15.png | Bin 0 -> 23636 bytes algorithms/AR tag detection/samples/16.png | Bin 0 -> 23504 bytes algorithms/AR tag detection/samples/1_.png | Bin 0 -> 35112 bytes algorithms/AR tag detection/samples/2.PNG | Bin 0 -> 2485 bytes algorithms/AR tag detection/samples/3.png | Bin 0 -> 2778 bytes algorithms/AR tag detection/samples/4.png | Bin 0 -> 2464 bytes algorithms/AR tag detection/samples/4t.png | Bin 0 -> 2464 bytes algorithms/AR tag detection/samples/5.png | Bin 0 -> 1199 bytes algorithms/AR tag detection/samples/6.png | Bin 0 -> 1464 bytes algorithms/AR tag detection/samples/8.png | Bin 0 -> 1410 bytes algorithms/AR tag detection/samples/cr2.jpg | Bin 0 -> 3891117 bytes algorithms/AR tag detection/samples/g1.png | Bin 0 -> 2031 bytes algorithms/AR tag detection/samples/g2.png | Bin 0 -> 8775 bytes algorithms/AR tag detection/samples/g3.png | Bin 0 -> 1636 bytes algorithms/AR tag detection/samples/g4.jpg | Bin 0 -> 46907 bytes .../AR tag detection/samples/images (1).png | Bin 0 -> 646 bytes algorithms/AR tag detection/samples/large.png | Bin 0 -> 57977 bytes algorithms/AR tag detection/samples/oh3hi.jpg | Bin 0 -> 108007 bytes .../AR tag detection/scripts/ARTagDetection.m | 104 ++++++++ .../AR tag detection/scripts/DECODE_AR_TAG.m | 39 +++ .../AR tag detection/scripts/dpsimplify.m | 243 ++++++++++++++++++ .../scripts/realTimeARTagDetection.m | 116 +++++++++ .../AR tag detection/scripts/sample1.jpg | Bin 0 -> 3891117 bytes .../AR tag detection/scripts/sample2.png | Bin 0 -> 57977 bytes .../AR tag detection/scripts/sample3.jpg | Bin 0 -> 4970794 bytes .../AR tag detection/scripts/sample4.jpg | Bin 0 -> 108007 bytes .../AR tag detection/scripts/sample5.jpg | Bin 0 -> 3345289 bytes 32 files changed, 502 insertions(+) create mode 100644 algorithms/AR tag detection/samples/0_input.jpg create mode 100644 algorithms/AR tag detection/samples/1.png create mode 100644 algorithms/AR tag detection/samples/12.png create mode 100644 algorithms/AR tag detection/samples/13.png create mode 100644 algorithms/AR tag detection/samples/14.png create mode 100644 algorithms/AR tag detection/samples/15.png create mode 100644 algorithms/AR tag detection/samples/16.png create mode 100644 algorithms/AR tag detection/samples/1_.png create mode 100644 algorithms/AR tag detection/samples/2.PNG create mode 100644 algorithms/AR tag detection/samples/3.png create mode 100644 algorithms/AR tag detection/samples/4.png create mode 100644 algorithms/AR tag detection/samples/4t.png create mode 100644 algorithms/AR tag detection/samples/5.png create mode 100644 algorithms/AR tag detection/samples/6.png create mode 100644 algorithms/AR tag detection/samples/8.png create mode 100644 algorithms/AR tag detection/samples/cr2.jpg create mode 100644 algorithms/AR tag detection/samples/g1.png create mode 100644 algorithms/AR tag detection/samples/g2.png create mode 100644 algorithms/AR tag detection/samples/g3.png create mode 100644 algorithms/AR tag detection/samples/g4.jpg create mode 100644 algorithms/AR tag detection/samples/images (1).png create mode 100644 algorithms/AR tag detection/samples/large.png create mode 100644 algorithms/AR tag detection/samples/oh3hi.jpg create mode 100644 algorithms/AR tag detection/scripts/ARTagDetection.m create mode 100644 algorithms/AR tag detection/scripts/DECODE_AR_TAG.m create mode 100644 algorithms/AR tag detection/scripts/dpsimplify.m create mode 100644 algorithms/AR tag detection/scripts/realTimeARTagDetection.m create mode 100644 algorithms/AR tag detection/scripts/sample1.jpg create mode 100644 algorithms/AR tag detection/scripts/sample2.png create mode 100644 algorithms/AR tag detection/scripts/sample3.jpg create mode 100644 algorithms/AR tag detection/scripts/sample4.jpg create mode 100644 algorithms/AR tag detection/scripts/sample5.jpg diff --git a/algorithms/AR tag detection/samples/0_input.jpg b/algorithms/AR tag detection/samples/0_input.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e5c3d22f263c404b1ce5d821ce527bee7fe6a426 GIT binary patch literal 4970794 zcmb@u1y~%-(=WONhXBD{0t*Cpw-AB_3+@oy-4+iJ+&$P5Ja}*o?iy@ycXzk5ym`O- z|L!^GxzD}#ImOd6zp1Y3uIjGo>6z~3dFFWq@aB_*v;+VK1^|G8{sEp>VdKO>7N!7z zv@|^c2><}RhUUP&WB~wJQ1~zYiUt5+z`Oz=LfK`|^ahHdEI{px*uOF_Iz%w=|LB6D znD}3u55@2Pm3all>`+}C=(!7;uwVVH>qXZh815h487QU>`HPQU6rdypO)oP4b#^o{ 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zzlD5b8JvUx#6H-Oi$*QQV<-qypg-J_ERNT7wI3J+Lq>}j;}ITf9$Lx@6%oUdQx-fdUkbu_wb-*H0T1GVVR{L_kp!-UFH3@ram`5hXi!W-$x^ zme^ir=Uwr0VoOM*RKGjINJQm(5AV(zP20`a&IjL(OXjs|NrMTuk6&Csgi?^GZs(WrmnmULN< find start and end indices of contiguous non-nan data + Inan = ~Inan; + sIX = strfind(Inan',[0 1])' + 1; + eIX = strfind(Inan',[1 0])'; + + if Inan(end)==true; + eIX = [eIX;nrvertices]; + end + + if Inan(1); + sIX = [1;sIX]; + end + + % calculate length of non-nan components + lIX = eIX-sIX+1; + % put each component into a single cell + c = mat2cell(p(Inan,:),lIX,dims); + + % now call dpsimplify again inside cellfun. + if nargout == 2; + [ps,ix] = cellfun(@(x) dpsimplify(x,tol),c,'uniformoutput',false); + ix = cellfun(@(x,six) x+six-1,ix,num2cell(sIX),'uniformoutput',false); + else + ps = cellfun(@(x) dpsimplify(x,tol),c,'uniformoutput',false); + end + + % write the data from a cell array back to a matrix + ps = cellfun(@(x) [x;nan(1,dims)],ps,'uniformoutput',false); + ps = cell2mat(ps); + ps(end,:) = []; + + % ix wanted? write ix to a matrix, too. + if nargout == 2; + ix = cell2mat(ix); + end + + +else + + +% if there are no nans than start the recursive algorithm +ixe = size(p,1); +ixs = 1; + +% logical vector for the vertices to be retained +I = true(ixe,1); + +% call recursive function +p = simplifyrec(p,tol,ixs,ixe); +ps = p(I,:); + +% if desired return the index of retained vertices +if nargout == 2; + ix = find(I); +end + +end + +% _________________________________________________________ +function p = simplifyrec(p,tol,ixs,ixe) + + % check if startpoint and endpoint are the same + % better comparison needed which included a tolerance eps + + c1 = num2cell(p(ixs,:)); + c2 = num2cell(p(ixe,:)); + + % same start and endpoint with tolerance + sameSE = all(cell2mat(cellfun(compare,c1(:),c2(:),'UniformOutput',false))); + + + if sameSE; + % calculate the shortest distance of all vertices between ixs and + % ixe to ixs only + if dims == 2; + d = hypot(p(ixs,1)-p(ixs+1:ixe-1,1),p(ixs,2)-p(ixs+1:ixe-1,2)); + else + d = sqrt(sum(bsxfun(@minus,p(ixs,:),p(ixs+1:ixe-1,:)).^2,2)); + end + else + % calculate shortest distance of all points to the line from ixs to ixe + % subtract starting point from other locations + pt = bsxfun(@minus,p(ixs+1:ixe,:),p(ixs,:)); + + % end point + a = pt(end,:)'; + + beta = (a' * pt')./(a'*a); + b = pt-bsxfun(@times,beta,a)'; + if dims == 2; + % if line in 2D use the numerical more robust hypot function + d = hypot(b(:,1),b(:,2)); + else + d = sqrt(sum(b.^2,2)); + end + end + + % identify maximum distance and get the linear index of its location + [dmax,ixc] = max(d); + ixc = ixs + ixc; + + % if the maximum distance is smaller than the tolerance remove vertices + % between ixs and ixe + if dmax <= tol; + if ixs ~= ixe-1; + I(ixs+1:ixe-1) = false; + end + % if not, call simplifyrec for the segments between ixs and ixc (ixc + % and ixe) + else + p = simplifyrec(p,tol,ixs,ixc); + p = simplifyrec(p,tol,ixc,ixe); + + end + +end +end diff --git a/algorithms/AR tag detection/scripts/realTimeARTagDetection.m b/algorithms/AR tag detection/scripts/realTimeARTagDetection.m new file mode 100644 index 0000000..aaf7c93 --- /dev/null +++ b/algorithms/AR tag detection/scripts/realTimeARTagDetection.m @@ -0,0 +1,116 @@ +clear;clc; +N = 7; + +cam = webcam; +vp = vision.VideoPlayer; +vp1 = vision.VideoPlayer; +vp2 = vision.VideoPlayer; +vp3 = vision.VideoPlayer; +k = 0 ; +while 1 + Ir = snapshot(cam); + I1 = rgb2gray(Ir); + T_Gaus= imgaussfilt(I1); + I = imbinarize(T_Gaus,0.6); + + % edge detection + BW = edge(I,'Sobel'); + se1 = strel('disk', 5); + se2 = strel('disk', 4); + BW = imdilate(BW,se1); + BW = imerode(BW,se2); + F = imfill(BW,'holes'); % fill the image + + %Fill a gap + se = strel('disk',2); + F = imclose(F,se); + F = bwareaopen(F, 5000); + + %% boundries + + B1 = bwboundaries(F, 8, 'noholes'); % Boundary detection + B_size = size(B1); + + D = zeros(N,N,B_size(1,1)); % ar tag data + ID = zeros(B_size(1,1)); % tag id +% figure; +% subplot(double(int16((B_size(1,1)/2)+0.9)),2,1); +% imshow(Ir); + + %% + + for k = 1:B_size(1,1) + BB = B1{k}; + ps = dpsimplify(BB,50); %Douglas-Peucker Algorithm + + ps_size = size(ps); + final_corners = zeros(4,2); + + if(ps_size(1)>=5 && ps_size(1)<=5) %If it is a polygon with 4 corners, then detect as quad + for k1=1:ps_size(1)-1 + for kk=1:2 + final_corners(k1,kk) = ps(k1,kk); %Only four corners + end + end + + %% +% BB_size = size(BB); +% for i = 1:BB_size(1) +% Ir(BB(i,1),BB(i,2)-1,:) = [0 255 0]; +% Ir(BB(i,1)-1,BB(i,2),:) = [0 255 0]; +% Ir(BB(i,1),BB(i,2),:) = [0 255 0]; +% Ir(BB(i,1)+1,BB(i,2),:) = [0 255 0]; +% Ir(BB(i,1),BB(i,2)+1,:) = [0 255 0]; +% end + fc = final_corners; + Ir = insertShape(Ir,'FilledPolygon',[fc(1,2) fc(1,1) fc(2,2) fc(2,1) fc(3,2) fc(3,1) fc(4,2) fc(4,1)],'Color','green','Opacity',0.6); + + %% HOMOGRAPHY + %Reference marker points + quad_pts(1,:) = [1, 1]; + quad_pts(2,:) = [600, 1]; + quad_pts(3,:) = [600, 600]; + quad_pts(4,:) = [1, 600]; + + %Corner points + final_pts = [final_corners(:,2), final_corners(:,1)]; + + + %Estimate homography with the 2 sets of four points + H = fitgeotrans( final_pts,quad_pts,'projective'); + + %Warp the marker to image plane + RA = imref2d([quad_pts(3,1) quad_pts(3,2)], [1 quad_pts(3,1)-1], [1 quad_pts(3,1)-1]); + [warp,r] = imwarp(I1, H, 'OutputView', RA); + + + th = graythresh(warp); + markBin = imbinarize(warp, th); + se3 = strel('square', 1); + markBin = imerode(markBin,se3); + + % decoding the ar tag + [D(:,:,k),ID(k),img] = DECODE_AR_TAG(markBin,N); +% subplot(double(int32((B_size(1,1)/2)+.9)),2,k+1); +% imshow(img); +% title("decoded part "); +% img_s = size(img); +% Ir_s = size(Ir); +% Ir(Ir_s(1)-img_s(1):) +% text = ID() +% Ir = insertImage(Ir,[(fc(1,2)+fc(2,2)+fc(3,2)+fc(4,2))/4 (fc(1,1)+fc(2,1)+fc(3,1)+fc(4,1))/4],) + step(vp2,img); + mat = D(:,:,k); + mat = imresize(mat2gray(mat),[420 420],'nearest'); + step(vp3,mat); + end + end + step(vp1,F); + step(vp,Ir); + k = k +1; +end +clear('cam'); +release(vp); +release(vp1); +release(vp2); +release(vp3); \ No newline at end of file diff --git a/algorithms/AR tag detection/scripts/sample1.jpg b/algorithms/AR tag detection/scripts/sample1.jpg new file mode 100644 index 0000000000000000000000000000000000000000..29b110089cdc6e9ecc932ee1c30e90add3e5845a GIT binary patch literal 3891117 zcmb@t1z42N`#1V53oP9rNV9awE=V`h(j6+@4bn)b)Gm#b(%mJXAl)ei2Vwk^ zHxGrW|HUOJ%>J(o8VbWvdC5>=AIg!U{jKXyUi)bDfATJ%FiXr|eDo&+ij+|9kIa9C z9@geg&ej0%H)P;v(DZOcmCOf+iSj)Z<%2W8L_}eHq7PvJ11jIYg`o2PwEzWBlpXe0 z*A`TA?!UMOg_&ah>hwp3?O!a7iHamc0CZG~l6a$McqT%V!R ziBT8_0*=>6t(kYOwrQ{4e+a?nC|=6@MDy51|1V02mc&qdYJw z_FsJTfB6n5{-3`5GXnn*=07n22t)CyQFG!?&nW#V;Qt8SZJ-G#%gH^{)Yec?ek}jb zWJO~(cXM<4Gy0reygalOWf=^Oj2R#sC{-v?6OjU7Ft_w{lhM?C{6_^1O-+seRh5hR zzXr_m{3+{yP5*!7;8f`112gjf=nFmTK6wdjBZU5rB zKiJ|g?)yhZS6dDx^JkJXSlXGR$^iXDVQ!26#<%@%_}_X_A^`3qdrvnfb3X=6{y)+G 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