#Building To build the application you will need the following "standard" components, that can be installed automatically on most systems. Tested with Homebrew on OS X; I assume that package managers on assorted Linuxen (thanks to Verity Stob for the name!) will work in a very similar fashion. (Sorry, Windows!)
- sbt-extras
- cmake
- Boost
- RabbitMQ
With that out of the way, you will need to build (from sources) the following:
- OpenCV (
masterfrom https://github.com/Itseez/opencv) - RabbitMQ-C library (in
native/rabbitmq-c) - RabbitMQ-CPP library (in
native/rabbitmq-cpp)
###rabbitmq-c and rabbitmq-cpp
For your convenience, I have included native/build.sh, which checks for the core requirements (cmake and Boost) and builds the RabbitMQ components. It will ask you for your password, because it does sudo make install to install the libraries to /usr/local/lib.
In essence, it does the cmake dance: in some sub-directory of $DIRECTORY, it runs cmake .., followed by cmake --build . and sudo make install. Remember that the standard C++ library must match in all the C++ projects. I am using C++11, with set(CMAKE_CXX_FLAGS "-std=c++11 -stdlib=libc++") in the CMakeLists.txt files.
###OpenCV
As of 18th August, to build OpenCV, clone the repository from https://github.com/Itseez/opencv, then follow the usual cmake build process. If you are on OS X, and want to build OpenCV with CUDA support, run cmake -G "Unix Makefiles" -D CMAKE_CXX_COMPILER=/usr/bin/g++ -D CMAKE_C_COMPILER=/usr/bin/gcc -D WITH_CUDA=ON.
####Obsolete instructions As of 8th August, to build OpenCV, clone the repository from https://github.com/Itseez/opencv, then apply the changes in PR 1244.
You can do so by applying this patch:
diff --git a/modules/stitching/src/motion_estimators.cpp b/modules/stitching/src/motion_estimators.cpp
index abd43b1..b09253c 100644
--- a/modules/stitching/src/motion_estimators.cpp
+++ b/modules/stitching/src/motion_estimators.cpp
@@ -259,7 +259,7 @@ bool BundleAdjusterBase::estimate(const std::vector<ImageFeatures> &features,
bool ok = true;
for (int i = 0; i < cam_params_.rows; ++i)
{
- if (isnan(cam_params_.at<double>(i,0)))
+ if (std::isnan(cam_params_.at<double>(i,0)))
{
ok = false;
break;
diff --git a/modules/ts/include/opencv2/ts/ts_perf.hpp b/modules/ts/include/opencv2/ts/ts_perf.hpp
index 29e440d..a6deac5 100644
--- a/modules/ts/include/opencv2/ts/ts_perf.hpp
+++ b/modules/ts/include/opencv2/ts/ts_perf.hpp
@@ -476,10 +476,17 @@ CV_EXPORTS void PrintTo(const Size& sz, ::std::ostream* os);
TEST_P(fixture##_##name, name /*perf*/){ RunPerfTestBody(); }\
INSTANTIATE_TEST_CASE_P(/*none*/, fixture##_##name, params);\
void fixture##_##name::PerfTestBody()
+
+#if defined(_MSC_VER) && (_MSC_VER <= 1400)
+#define CV_PERF_TEST_MAIN_INTERNALS_ARGS(...) \
+ while (++argc >= (--argc,-1)) {__VA_ARGS__; break;} /*this ugly construction is needed for VS 2005*/
+#else
+#define CV_PERF_TEST_MAIN_INTERNALS_ARGS(...) \
+ __VA_ARGS__;
+#endif
-
-#define CV_PERF_TEST_MAIN_INTERNALS(modulename, impls, ...) \
- while (++argc >= (--argc,-1)) {__VA_ARGS__; break;} /*this ugly construction is needed for VS 2005*/\
+#define CV_PERF_TEST_MAIN_INTERNALS(modulename, impls, ...) \
+ CV_PERF_TEST_MAIN_INTERNALS_ARGS(__VA_ARGS__) \
::perf::Regression::Init(#modulename);\
::perf::TestBase::Init(std::vector<std::string>(impls, impls + sizeof impls / sizeof *impls),\
argc, argv);\Then follow the usual cmake dance: create sub-directory, say build in the root of the project, change into it and run cmake ..; cmake --build .; sudo make install.