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Add Python fractal-mosaic CLI and unpack MATLAB reference

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Fork of s-ben/Fractal-Mosaics for Tower mosaik inbox: GPL license,
upstream .m sources under reference/, RST placement with CBIR +
log-polar hints, edge alpha, profiles wenig/mittel/dicht, no recolor.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
copilot 2026-09-24 17:03:12 +02:00
parent a598ae3656
commit 5bfeae238d
20 changed files with 3981 additions and 32 deletions
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175
reference/upstream-matlab/gfd_calc.m Normal file
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clear all
close all
color = 0;
% ----------------------------- get jpeg file paths --------------------
'getting image paths...'
if color ==0
path = ['../library_images/graffiti_256_black_white/'];
else
path = ['C:\Americano\library_images\graffiti_256_color\'];
end
% files = dir('C:\Image_registration\flickr_spider\graffiti_library\*.jpg'); % get file names
directories = dir(path); % get directory names
num_files = 0;
file_count = 0;
dir_temp = directories(3).name; % get first directory name
files = dir([path,dir_temp,'/*.jpg']); % get file names for first directory
file_count = length(files);
% add directory path to jpeg files name
for j=1:length(files)
files(j).name = [path,dir_temp,'/',files(j).name];
end
for i=2:(length(directories)-2) % offset by 2 because first two entries are '.' and '..'
dir_temp = directories(i+2).name; % get next directory name
files_temp = dir([path,dir_temp,'/*.jpg']); % get file names for given directory
% add directory path to jpeg files name
for j=1:length(files_temp)
files_temp(j).name = [path,dir_temp,'/',files_temp(j).name];
end
% concatenate file paths from next directory to existing
files((file_count+1):(file_count+length(files_temp))) = files_temp;
file_count = file_count+length(files_temp);
% pause
end
% bins = 16;
% hist_x = [(255/bins)/2:255/bins:(255-(255/bins)/2)];
% hist_matrix = zeros(length(files),bins);
radial_freq = 6;
angular_freq = 6;
vector_len = radial_freq*angular_freq;
gfd_matrix = zeros(length(files),vector_len);
% gfd_matrix = zeros(8000,vector_len);
size_v = [128 128];
avg_gfd = zeros(radial_freq,angular_freq);
for i=1:length(files)
i
Im_lib = imread([files(i).name]); % read in library image
Im_lib = imresize(Im_lib,size_v); % resize image to 128
% size_Im_lib = size(Im_lib);
%
% % ------ reshape Im_lib into 1D array ------
% Im_lib_array = reshape(Im_lib,size_Im_lib(1)*size_Im_lib(2),1);
%
% histo = hist(double(Im_lib_array),hist_x);
Im_lib_polar = polar_conversion(Im_lib);
Im_lib_polar_FFT = abs(fftshift(fft2(Im_lib_polar)));
DC = Im_lib_polar_FFT(size_v(1)/2+1,size_v(2)/2+1);
% energy_norm = sum(sum(Im_lib_polar_FFT));
% --------------- normalize coefs ------------------------
% Im_lib_polar_FFT(size_v(1)/2+1,size_v(2)/2+1) = Im_lib_polar_FFT(size_v(1)/2+1,size_v(2)/2+1)/(size_v(1)*size_v(2));
Im_lib_polar_FFT = Im_lib_polar_FFT./DC;
% Im_lib_polar_FFT = Im_lib_polar_FFT./energy_norm;
% Im_lib_polar_FFT(size_v(1)/2+1,size_v(2)/2+1) = DC;
center_gfd = [size_v(1)/2+1 size_v(2)/2+1];
gfd = Im_lib_polar_FFT(center_gfd(1):(center_gfd(1)+angular_freq-1),center_gfd(2):(center_gfd(2)+radial_freq-1));
avg_gfd = avg_gfd + gfd;
% figure(1),subplot(1,2,1),imshow(uint8(Im_lib))
% subplot(1,2,2),mesh(gfd)
%
% pause
% I1_gfd = fourier_mellin(Im_lib);
% hu_moment = humoments(Im_lib);
gfd_matrix(i,:) = gfd(:);
% figure(1),subplot(2,1,1),imshow(Im_lib)
% subplot(2,1,2),imshow(Im_lib)
% subplot(3,1,3),mesh(I1_fm)
% figure(1),subplot(1,2,1),imshow(Im_lib)
% subplot(1,2,2),mesh(I1_fm);
% pause
% subplot(1,2,1),imshow(Im_lib)
% subplot(1,2,2),plot(histo)
end
% pause
gfd_matrix = single(gfd_matrix);
save('gfd_matrix_graffiti_128', 'gfd_matrix')
% save('gfd_matrix_SF_128', 'gfd_matrix')
% save('avg_gfd_3045', 'avg_gfd')
% avg_gfd = gfd_matrix(1,:);
%
% for i=2:4846
% avg_gfd = avg_gfd+ gfd_matrix(i,:);
%
% end
% for i=1:1000%length(files)
% i
%
% fm = fm_matrix(i,:);
%
% % for j=1:1000
%
%
% [nearest_neighbor_fm neighbor_distances_fm] = kNearestNeighbors(fm_matrix(1:1000,:), fm, 1000);
% min_fm_dist = neighbor_distances_fm(2);
% max_fm_dist = neighbor_distances_fm(end);
%
% % end
%
% end
% fm_matrix = single(fm_matrix);
% save('gfd_matrix_graffiti_128', 'gfd_matrix')
% load('hist_matrix_graffiti');
% [index_vals,vector_vals,final_nodes] = kd_knn(tree,point,k,plot_stuff,node_number)