83 lines
3.6 KiB
Org Mode
83 lines
3.6 KiB
Org Mode
[[http://spacemacs.org][file:https://cdn.rawgit.com/syl20bnr/spacemacs/442d025779da2f62fc86c2082703697714db6514/assets/spacemacs-badge.svg]]
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* Genetic image generation
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This project is a university assignment that aims at regenerating a reference
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image from random shapes of random color applied. There will be lots of
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different tests on what method is the best and/or the fastest to get a new
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image as close as possible to the reference image.
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The first method will be the random addition of squares of random size to random
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locations of random color. If the picture with the new random square improves in
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similarity with the reference image, then it is preserved, otherwise the change
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is discarded. This method is here as a reference for the other methods.
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The second method will be the same as the first method, however The generation
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of the new pictures will be multi-threaded; if two or more threads return an
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improved picture, the best one will be selected. Then it will be reused by the
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next threads.
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The third method will instead delegate different parts of the picture to
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different threads. For instance, if the software runs on four threads, the
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reference picture will be divided in four zones, each one will be generated by a
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separate thread.
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The fourth method, which can be combined with the first three, will limit the
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choice in terms of random color to the colors already existing in the reference
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image.
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The fifth method, which can be combined with the four first methods, will force
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the random squares to be larger during the first iterations and progressively
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smaller until the smallest specified size which should be reached by the last
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iteration.
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More methods will be added later once these four will be implemented.
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* How to build this project
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To build the project, you will also be required to install the development
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libraries your distro offers for GTK+3. For Ubuntu, it is ~libgtk3-devel~, for
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Void Linux it is ~gtk3-devel~ and for Arch Linux it is already bundled with the
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~gtk3~ package.
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You will also ned to have Ninja and Conan installed. To install Ninja, install
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the appropriate package offered by your package manager (~ninja-build~ on
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Debian, ~ninja~ on Arch Linux and Void Linux), and to install conan, use ~pip~.
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#+begin_src shell
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pip install --user conan
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#+end_src
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This project is built with conan, ninja and cmake using clang-7 for C++17. To
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use it, first install clang-7 and lldb 7, then run this:
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#+begin_src shell
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conan profile new default --detect
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conan profile update settings.compiler=clang default
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conan profile update settings.compiler.version=7.0 default
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conan profile update settings.compiler.libcxx=libstdc++11 default
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conan profile update env.CC=/bin/clang default
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conan profile update env.CXX=/bin/clang++ default
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#+end_src
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If you do not wish to overwrite your ~default~ profile, you can instead create a
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new one, for instance ~clang~. To do so, write the name of your new profile (in
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this example ~clang~) instead of ~default~ in the commands shown above.
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Then, To build and run the program, go to the root of the project and run this:
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#+begin_src shell
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mkdir build && cd build
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conan install .. --build missing
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cmake -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ .. -G Ninja
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cmake --build .
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#+end_src
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If you want to use another profile than your default one, you should run the
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following line instead of the second line:
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#+begin_src shell
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conan install .. --build missing --profile <your_profile>
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#+end_src
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This project was built and tested using clang-7, lldb and gdb on Void Linux
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(kernel 4.19) and Arch Linux (kernel 5.0).
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* Credits
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Awesome C++ Template by [[https://github.com/devkoriel/AwesomeCppTemplate][devkoriel]].
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