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Ruby
on 14 Nov 2023
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drawframe(1);
Write your drawframe function below
function drawframe(f)
% Red version / bigger scales.
persistent frms % All we will be keeping is the cell array of frames because
% the whole loop will run on the first function call.
% The reason for this is that some spatially variant
% blurring will be applied to the RGB data on each
% loop.
tic
if f == 1
% Base texture scale
x=linspace(-4, 4, 400);
% Shape of scale - ovalish but extended on one side
m=1-(erf(50*(3*x'.^2+x.^2-.5)+max(24*x.^5,-20))+1)/2; % Basic scale shape & mask
m=max(m,circshift(m,[0,5])); % Needs to be a bit longer
% Scales are slightly curved
s=m.*cos(2*x');
s=s-x.*m/3; % Needs change in height so that it overlaps well
k=m.*rescale(1./(abs(x') + 0.01))*0.1.*(min(0,x-0.3).^2); % Add keel
s=s+k+conv2(m.*randn(size(k))/100, ones(1,11)/11, 'same'); % Some textury-noise
% Now the tiling...
so=s;
SS=40;
for n = 1:9
so = max(so, circshift(s, n*SS));
end
so = max(so, circshift(so, [SS/2, 40]));
for n = 1:4;
so = max(so, circshift(so, [0, 80*n]));
end
so(so<0.7)=0.7;
% Turn into radial distance
so=so*0.4;
so=so'+10;
so=flipud(so);
% More tiling
so=[so,so];
so=[so;so];
% Apply to snake body. Snakes are not cylindrical, they have a prominent
% spine and flat underside (sort of / lots of variation here)
a=linspace(0,2*pi,size(so, 2))-pi;
sob=so;
so = so + (exp(-(a).^2*50) - exp(-(a+pi).^2*2)*2)- exp(-(a-pi).^2*2)*2;
x=sin(a).*so;
y=cos(a).*so;
z=linspace(-1,1,size(x,1))'.*ones(1,length(a))*8*3;
% Woops, that was too high resolution. Cut off the backside so it renders
x=x(:, (1:325)+375);
y=y(:, (1:325)+375);
z=z(:, (1:325)+375);
sob=sob(:, (1:325)+375);
% Still too high resolution. Decimate...
% x=x(1:2:end, 1:2:end);
% y=y(1:2:end, 1:2:end);
% z=z(1:2:end, 1:2:end);
% sob=sob(1:2:end, 1:2:end);
% Plot
S=surf(x,z,y,rescale(sob).*cat(3,1,.2,0), 'SpecularStrength', 0.5, 'DiffuseStrength', 1, 'AmbientStrength', 0);
shading flat
% Too pixelated. Make larger
S.Parent.Parent.Position(3:4)=[1120,840];
% Camera setup etc.
axis equal off
set(gcf, 'color', 'k');
light('position', [0, 0, 1]);
view([90, 10]);
camtarget([0,-4,5]);
campos([265, 0.05*n*4, 48]);
camproj p
camva(5);
% Rotate snake through image in 48 frames
for n = 1:48
S.YData = z -.05*n*4;
S.ZData = y - .004*(S.YData+4).^2;
drawnow;
frms{n}=getframe(gcf);
end
% Close because we are actually going to work with the rgb data
close
end
% Now lens blur simulation -> weight w/cosine tapering
wn=min((1-cos(linspace(0, 2*pi, size(frms{f}.cdata(:,:,1),2))))/1.9, 1);
IG=flt(frms{f}.cdata,wn,2);
% Decimate
IG=IG(1:2:end, 1:2:end, :);
image(IG);
axis equal off
camva(6)
toc
end
% Local smoother
function in=flt(in,wgt,nits)
if nargin == 1
wgt = zeros(size(in(:,:,1)));
nits=1;
end
in = double(in)/255;
% Blur kernel
krn = [1, 2, 3, 4, 5, 4, 3, 2, 1]';
krn = krn*krn';
krn = krn/sum(krn(:));
% Apply to each color channel
for m = 1:3
for mm = 1:nits
in(:, :,m) = wgt.*in(:,:,m) + (1-wgt).*conv2(in(:,:,m), krn, 'same');
end
end
% S.D.G.
end