mirror of https://github.com/CGAL/cgal
136 lines
4.1 KiB
CMake
136 lines
4.1 KiB
CMake
# Created by the script cgal_create_CMakeLists
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# This is the CMake script for compiling a set of CGAL applications.
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project( Classification_Examples )
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cmake_minimum_required(VERSION 3.1)
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# CGAL and its components
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find_package( CGAL QUIET COMPONENTS )
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if ( NOT CGAL_FOUND )
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message(STATUS "This project requires the CGAL library, and will not be compiled.")
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return()
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endif()
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# Boost and its components
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find_package( Boost REQUIRED )
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if ( NOT Boost_FOUND )
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message(STATUS "This project requires the Boost library, and will not be compiled.")
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return()
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endif()
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find_package( Boost OPTIONAL_COMPONENTS serialization iostreams )
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if( WIN32 )
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# to avoid a warning with old cmake
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set(_Boost_BZIP2_HEADERS "boost/iostreams/filter/bzip2.hpp")
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set(_Boost_ZLIB_HEADERS "boost/iostreams/filter/zlib.hpp")
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find_package( Boost OPTIONAL_COMPONENTS bzip2 zlib)
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endif()
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find_package(TBB QUIET)
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find_package(OpenCV QUIET COMPONENTS core ml) # Need core + machine learning
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# Use Eigen
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find_package(Eigen3 3.1.0 REQUIRED) #(3.1.0 or greater)
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if (NOT EIGEN3_FOUND)
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message(STATUS "This project requires the Eigen library, and will not be compiled.")
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return()
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else()
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include( ${EIGEN3_USE_FILE} )
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endif()
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# Creating entries for all C++ files with "main" routine
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# ##########################################################
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# Classification examples
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set(targets
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example_classification
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example_ethz_random_forest
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example_feature
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example_generation_and_training
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example_mesh_classification
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example_cluster_classification)
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# Classification requires some C++11 features
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set(needed_cxx_features cxx_rvalue_references cxx_variadic_templates)
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# Libraries and flags
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set(classification_linked_libraries)
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set(classification_compile_definitions)
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if (Boost_SERIALIZATION_FOUND AND Boost_IOSTREAMS_FOUND)
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set(classification_linked_libraries ${classification_linked_libraries}
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${Boost_SERIALIZATION_LIBRARY}
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${Boost_IOSTREAMS_LIBRARY})
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else()
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if (NOT Boost_SERIALIZATION_FOUND)
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message(STATUS "NOTICE: This project requires Boost Serialization, and will not be compiled.")
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endif()
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if (NOT Boost_IOSTREAMS_FOUND)
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message(STATUS "NOTICE: This project requires Boost IO Streams, and will not be compiled.")
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endif()
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return()
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endif()
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if( WIN32 )
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if (Boost_ZLIB_FOUND AND Boost_BZIP2_FOUND)
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set(classification_linked_libraries ${classification_linked_libraries}
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${Boost_ZLIB_LIBRARY} ${Boost_BZIP2_LIBRARY})
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else()
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message(STATUS "NOTICE: This project requires Boost ZLIB and Boost BZIP2, and will not be compiled.")
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return()
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endif()
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endif()
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if (OpenCV_FOUND)
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message(STATUS "Found OpenCV ${OpenCV_VERSION}")
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include_directories(${OpenCV_INCLUDE_DIRS})
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set(classification_linked_libraries ${classification_linked_libraries}
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${OpenCV_LIBS})
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set(classification_compile_definitions ${classification_compile_definitions}
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"-DCGAL_LINKED_WITH_OPENCV")
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set(targets ${targets} example_opencv_random_forest)
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else()
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message(STATUS "NOTICE: OpenCV was not found. OpenCV random forest predicate for classification won't be available.")
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endif()
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find_package(TensorFlow QUIET)
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if (TensorFlow_FOUND)
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message(STATUS "Found TensorFlow")
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include_directories( ${TensorFlow_INCLUDE_DIR} )
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set(classification_linked_libraries ${classification_linked_libraries}
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${TensorFlow_LIBRARY})
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set(classification_compile_definitions ${classification_compile_definitions}
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"-DCGAL_LINKED_WITH_TENSORFLOW")
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set(targets ${targets} example_tensorflow_neural_network)
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else()
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message(STATUS "NOTICE: TensorFlow not found, Neural Network predicate for classification won't be available.")
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endif()
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# Creating targets with correct libraries and flags
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foreach(target ${targets})
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create_single_source_cgal_program( "${target}.cpp" CXX_FEATURES ${needed_cxx_features} )
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if(TARGET ${target})
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target_link_libraries(${target} PUBLIC ${classification_linked_libraries})
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target_compile_definitions(${target} PUBLIC ${classification_compile_definitions})
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if(TBB_FOUND)
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CGAL_target_use_TBB(${target})
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endif()
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endif()
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endforeach()
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