A JSON file stores data objects in JavaScript Object Notation(JSON) format. It’s lightweight and readable, the developer uses it to transmit simple data. The article shows how to create and read the JSON file in the Qt environment. I planed to save two books’ information to a simple JSON file Read more…
The interface vtkObjectBase::UnRegister will reduce the reference count for pointer and delete the pointer if the reference count becomes zero. vtkObjectBase::Delete <= vtkObjectBase::UnRegister <= vtkObjectBase::UnRegisterInternal <= delete ptr vtkSmartPointerBase::~vtkSmartPointerBase { vtkObjectBase* object = this->Object; if(object) { this->Object = nullptr; object->UnRegister(nullptr); } } We can get the reference count and consumer Read more…
I want to save a little data into a local file that we read it. It is best done conveniently through C Plus Plus. The following example shows the entire logic. #include <iostream> #include <vector> #include <fstream> using namespace std; std::string filePath = “txt”; void WriteData() { double origin[3] = Read more…
Creating Factory We often make_shared to create a shared pointer in std. It’s safe and easy for the developer to use. The using examples are in the following code snippet. shared_ptr<Base> ptr = make_shared<Base>(); auto p = make_shared<int>(100); cout << *p << endl; Delete Function Create a delete function for Read more…
C++11 supports the flexible parameter list by template technology, it can help us to define a powerful function. The article introduces how to create a log output function which looks like the following scene. Log( IDebug, “one: “, 1, “, two: “, 2, “, three: “, 3 ); The first Read more…
The class progress_display has definition and implementation in progress.hpp. The relevant example is in the following code snippet. Qt pro file： TEMPLATE = app CONFIG += console c++11 CONFIG -= app_bundle CONFIG -= qt INCLUDEPATH += /usr/local/Cellar/boost/1.66.0/include/ SOURCES += \ main.cpp main.cpp： #include <iostream> #include <boost/progress.hpp> #include <vector> #include <fstream> Read more…
The original image and project are in the following part. CMakeLists.txt macro(use_cxx11) if (CMAKE_VERSION VERSION_LESS “3.1”) if (CMAKE_CXX_COMPILER_ID STREQUAL “GNU”) set (CMAKE_CXX_FLAGS “${CMAKE_CXX_FLAGS} -std=gnu++11”) endif () else () set (CMAKE_CXX_STANDARD 11) endif () endmacro(use_cxx11) cmake_minimum_required(VERSION 2.8) project( cvMat ) use_cxx11() find_package( OpenCV REQUIRED ) add_executable( ${PROJECT_NAME} “main.cpp” ) target_link_libraries( ${PROJECT_NAME} Read more…
Environment: cmake 3.16.0-rc4 InsightToolkit-5.0.1 macOS Catalina 10.15 Build And Install ITK Download tar.gz file, extract it, create a building directory and go into it. Then build the ITK project and install it. cmake ../ -G “Unix Makefiles” \ -DModule_ItkVtkGlue:BOOL=ON make sudo make install — Installing: /usr/local/include/ITK-5.0/itkWatershedSegmentTree.h — Installing: /usr/local/include/ITK-5.0/itkMorphologicalWatershedImageFilter.h — Read more…
We can use a lookup table to change the original image, the lookup table is like a simple map tool which returns a result if we give input data. #include <iostream> #include <stdio.h> #include <opencv2/opencv.hpp> using namespace cv; using namespace std; int main(int argc, char* argv[]) { if (argc < Read more…