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# # _______ _ _ _____ _____ _____ _____ # |__ __| | | |_ _|/ ____| |_ _|/ ____| /\ # | | | |__| | | | | (___ | | | (___ / \ # | | | __ | | | \___ \ | | \___ \ / /\ \ # | | | | | |_| |_ ____) | _| |_ ____) | / ____ \ # |_|__|_|_ |_|_____|_____/__ |_____|_____/ /_/ _ \_\ # |__ __| | | |__ __/ __ \| __ \|_ _| /\ | | # | | | | | | | | | | | | |__) | | | / \ | | # | | | | | | | | | | | | _ / | | / /\ \ | | # | | | |__| | | | | |__| | | \ \ _| |_ / ____ \| |____ # |_| \____/ |_| \____/|_| \_\_____/_/ \_\______| # # # _____ ______ _____ _______ _ _ ______ # | __ \| ____| /\ | __ \ |__ __| | | | ____| # | |__) | |__ / \ | | | | | | | |__| | |__ # | _ /| __| / /\ \ | | | | | | | __ | __| # | | \ \| |____ / ____ \| |__| | | | | | | | |____ # |_|__\_\______/_/_ __\_\_____/__ _ |_|__|_|_ |_|______|_ _ _ # / ____/ __ \| \/ | \/ | ____| \ | |__ __/ ____| | | | | | # | | | | | | \ / | \ / | |__ | \| | | | | (___ | | | | | # | | | | | | |\/| | |\/| | __| | . ` | | | \___ \ | | | | | # | |___| |__| | | | | | | | |____| |\ | | | ____) | |_|_|_|_| # \_____\____/|_| |_|_| |_|______|_| \_| |_| |_____/ (_|_|_|_) # # # # This is a CMake makefile. CMake is a tool that helps you build C++ programs. # You can download CMake from http://www.cmake.org. This CMakeLists.txt file # you are reading builds dlib's example programs. # cmake_minimum_required(VERSION 2.8.12) # Every project needs a name. We call this the "examples" project. project(examples) # Tell cmake we will need dlib. This command will pull in dlib and compile it # into your project. Note that you don't need to compile or install dlib. All # cmake needs is the dlib source code folder and it will take care of everything. add_subdirectory(../dlib dlib_build) # If you have cmake 3.14 or newer you can even use FetchContent instead of # add_subdirectory() to pull in dlib as a dependency. So instead of using the # above add_subdirectory() command, you could use the following three commands # to make dlib available: # include(FetchContent) # FetchContent_Declare(dlib # GIT_REPOSITORY https://github.com/davisking/dlib.git # GIT_TAG v19.18 # ) # FetchContent_MakeAvailable(dlib) # The next thing we need to do is tell CMake about the code you want to # compile. We do this with the add_executable() statement which takes the name # of the output executable and then a list of .cpp files to compile. Here we # are going to compile one of the dlib example programs which has only one .cpp # file, assignment_learning_ex.cpp. If your program consisted of multiple .cpp # files you would simply list them here in the add_executable() statement. add_executable(assignment_learning_ex assignment_learning_ex.cpp) # Finally, you need to tell CMake that this program, assignment_learning_ex, # depends on dlib. You do that with this statement: target_link_libraries(assignment_learning_ex dlib::dlib) # To compile this program all you need to do is ask cmake. You would type # these commands from within the directory containing this CMakeLists.txt # file: # mkdir build # cd build # cmake .. # cmake --build . --config Release # # The cmake .. command looks in the parent folder for a file named # CMakeLists.txt, reads it, and sets up everything needed to build program. # Also, note that CMake can generate Visual Studio or XCode project files. So # if instead you had written: # cd build # cmake .. -G Xcode # # You would be able to open the resulting Xcode project and compile and edit # the example programs within the Xcode IDE. CMake can generate a lot of # different types of IDE projects. Run the cmake -h command to see a list of # arguments to -G to see what kinds of projects cmake can generate for you. It # probably includes your favorite IDE in the list. ################################################################################# ################################################################################# # A CMakeLists.txt file can compile more than just one program. So below we # tell it to compile the other dlib example programs using pretty much the # same CMake commands we used above. ################################################################################# ################################################################################# # Since there are a lot of examples I'm going to use a macro to simplify this # CMakeLists.txt file. However, usually you will create only one executable in # your cmake projects and use the syntax shown above. macro(add_example name) add_executable(${name} ${name}.cpp) target_link_libraries(${name} dlib::dlib ) endmacro() # if an example requires GUI, call this macro to check DLIB_NO_GUI_SUPPORT to include or exclude macro(add_gui_example name) if (DLIB_NO_GUI_SUPPORT) message("No GUI support, so we won't build the ${name} example.") else() add_example(${name}) endif() endmacro() # The deep learning toolkit requires a compiler with essentially complete C++11 # support. However, versions of Visual Studio prior to October 2016 didn't # provide enough C++11 support to compile the DNN tooling, but were good enough # to compile the rest of dlib. So new versions of Visual Studio 2015 will # work. However, Visual Studio 2017 had some C++11 support regressions, so it # wasn't until December 2017 that Visual Studio 2017 had good enough C++11 # support to compile the DNN examples. So if you are using Visual Studio, make # sure you have an updated version if you want to compile the DNN code. # # Also note that Visual Studio users should give the -T host=x64 option so that # CMake will instruct Visual Studio to use its 64bit toolchain. If you don't # do this then by default Visual Studio uses a 32bit toolchain, WHICH RESTRICTS # THE COMPILER TO ONLY 2GB OF RAM, causing it to run out of RAM and crash when # compiling some of the DNN examples. So generate your project with a statement # like this: # cmake .. -G "Visual Studio 14 2015 Win64" -T host=x64 if (NOT USING_OLD_VISUAL_STUDIO_COMPILER) add_example(dnn_metric_learning_ex) add_gui_example(dnn_face_recognition_ex) add_example(dnn_introduction_ex) add_example(dnn_introduction2_ex) add_example(dnn_introduction3_ex) add_example(dnn_inception_ex) add_gui_example(dnn_mmod_ex) add_gui_example(dnn_mmod_face_detection_ex) add_gui_example(random_cropper_ex) add_gui_example(dnn_mmod_dog_hipsterizer) add_gui_example(dnn_imagenet_ex) add_gui_example(dnn_mmod_find_cars_ex) add_gui_example(dnn_mmod_find_cars2_ex) add_example(dnn_mmod_train_find_cars_ex) add_gui_example(dnn_semantic_segmentation_ex) add_gui_example(dnn_instance_segmentation_ex) add_example(dnn_imagenet_train_ex) add_example(dnn_semantic_segmentation_train_ex) add_example(dnn_instance_segmentation_train_ex) add_example(dnn_metric_learning_on_images_ex) add_gui_example(dnn_dcgan_train_ex) endif() if (DLIB_NO_GUI_SUPPORT) message("No GUI support, so we won't build the webcam_face_pose_ex example.") else() find_package(OpenCV QUIET) if (OpenCV_FOUND) include_directories(${OpenCV_INCLUDE_DIRS}) add_executable(webcam_face_pose_ex webcam_face_pose_ex.cpp) target_link_libraries(webcam_face_pose_ex dlib::dlib ${OpenCV_LIBS} ) else() message("OpenCV not found, so we won't build the webcam_face_pose_ex example.") endif() endif() #here we apply our macros add_gui_example(3d_point_cloud_ex) add_example(bayes_net_ex) add_example(bayes_net_from_disk_ex) add_gui_example(bayes_net_gui_ex) add_example(bridge_ex) add_example(bsp_ex) add_example(compress_stream_ex) add_example(config_reader_ex) add_example(custom_trainer_ex) add_example(dir_nav_ex) add_example(empirical_kernel_map_ex) add_gui_example(face_detection_ex) add_gui_example(face_landmark_detection_ex) add_gui_example(fhog_ex) add_gui_example(fhog_object_detector_ex) add_example(file_to_code_ex) add_example(graph_labeling_ex) add_gui_example(gui_api_ex) add_gui_example(hough_transform_ex) add_gui_example(image_ex) add_example(integrate_function_adapt_simp_ex) add_example(iosockstream_ex) add_example(kcentroid_ex) add_example(kkmeans_ex) add_example(krls_ex) add_example(krls_filter_ex) add_example(krr_classification_ex) add_example(krr_regression_ex) add_example(learning_to_track_ex) add_example(least_squares_ex) add_example(linear_manifold_regularizer_ex) add_example(logger_custom_output_ex) add_example(logger_ex) add_example(logger_ex_2) add_example(matrix_ex) add_example(matrix_expressions_ex) add_example(max_cost_assignment_ex) add_example(member_function_pointer_ex) add_example(mlp_ex) add_example(model_selection_ex) add_gui_example(mpc_ex) add_example(multiclass_classification_ex) add_example(multithreaded_object_ex) add_gui_example(object_detector_advanced_ex) add_gui_example(object_detector_ex) add_gui_example(one_class_classifiers_ex) add_example(optimization_ex) add_example(parallel_for_ex) add_example(pipe_ex) add_example(pipe_ex_2) add_example(quantum_computing_ex) add_example(queue_ex) add_example(rank_features_ex) add_example(running_stats_ex) add_example(rvm_ex) add_example(rvm_regression_ex) add_example(sequence_labeler_ex) add_example(sequence_segmenter_ex) add_example(server_http_ex) add_example(server_iostream_ex) add_example(sockets_ex) add_example(sockstreambuf_ex) add_example(std_allocator_ex) add_gui_example(surf_ex) add_example(svm_c_ex) add_example(svm_ex) add_example(svm_pegasos_ex) add_example(svm_rank_ex) add_example(svm_sparse_ex) add_example(svm_struct_ex) add_example(svr_ex) add_example(thread_function_ex) add_example(thread_pool_ex) add_example(threaded_object_ex) add_example(threads_ex) add_example(timer_ex) add_gui_example(train_object_detector) add_example(train_shape_predictor_ex) add_example(using_custom_kernels_ex) add_gui_example(video_tracking_ex) add_example(xml_parser_ex) if (DLIB_LINK_WITH_SQLITE3) add_example(sqlite_ex) endif() |