mirror of https://github.com/davisking/dlib.git
#pragma warning for C4503 and /bigobj
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@ -78,6 +78,12 @@ elseif (MSVC OR "${CMAKE_CXX_COMPILER_ID}" STREQUAL "MSVC") # else if using Visu
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message(STATUS "Enabling SSE2 instructions")
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add_definitions(-DDLIB_HAVE_SSE2)
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endif()
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# By default Visual Studio does not support .obj files with more than 65k sections
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# Code generated by file_to_code_ex and code using DNN module can have them
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# this flag enables > 65k sections, but produces .obj files that will not be readable by
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# VS 2005
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /bigobj")
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endif()
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@ -10,10 +10,6 @@ PROJECT(examples)
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include(../dlib/cmake)
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if (POLICY CMP0054)
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cmake_policy(SET CMP0054 NEW)
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endif()
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# Tell CMake to compile a program. We do this with the ADD_EXECUTABLE()
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# statement which takes the name of the output executable and then a list of
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# .cpp files to compile. Here each example consists of only one .cpp file but
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@ -35,13 +31,6 @@ ENDMACRO()
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# The deep learning toolkit requires a C++11 capable compiler.
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if (COMPILER_CAN_DO_CPP_11)
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# Visual Studio Specific
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# DNN module produces long type names for NN definitions - disable this warning for MSVC
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# And when compiling Debug mode file will be too big for normal compilation
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if (MSVC OR "${CMAKE_CXX_COMPILER_ID}" STREQUAL "MSVC")
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message(STATUS "Enabling Visual Studio specific flags for DNN")
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /wd4503 /bigobj")
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endif()
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add_example(dnn_mnist_ex)
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add_example(dnn_mnist_advanced_ex)
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add_example(dnn_inception_ex)
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@ -23,10 +23,17 @@
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the IEEE Conference on Computer Vision and Pattern Recognition. 2015.
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*/
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// DNN module uses template-based network declaration that leads to very long
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// type names. Visual Studio will produce Warning C4503 in such cases
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#ifdef _MSC_VER
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# pragma warning( disable: 4503 )
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#endif
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#include <dlib/dnn.h>
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#include <iostream>
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#include <dlib/data_io.h>
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using namespace std;
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using namespace dlib;
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@ -84,7 +91,7 @@ int main(int argc, char** argv) try
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// Make an instance of our inception network.
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net_type net;
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cout << "The net has " << net.num_layers << " layers in it." << endl;
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cout << net << endl;
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// cout << net << endl;
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cout << "Traning NN..." << endl;
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@ -10,6 +10,11 @@
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- Accessing and configuring layers in a network
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*/
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// DNN module uses template-based network declaration that leads to very long
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// type names. Visual Studio will produce Warning C4503 in such cases
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#ifdef _MSC_VER
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# pragma warning( disable: 4503 )
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#endif
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#include <dlib/dnn.h>
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#include <iostream>
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