ubuntu下C++如何调用python程序，gdb调试C++代码

Linux下gdb调试C++代码：http://jingyan.baidu.com/article/acf728fd464984f8e410a369.html

主要ubuntu下使用C++调用Python：

#python代码：（processing_module.py）

import cv2

def pre_processing():
imgfile = "./IMG_3200.png"
img = cv2.imread(imgfile)
h, w, _ = img.shape

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

ret, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)

# Find Contour
_, contours, hierarchy = cv2.findContours( thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)

# 需要搞一个list给cv2.drawContours()才行！！！！！
c_max = []
max_area = 0
max_cnt = 0
for i in range(len(contours)):
cnt = contours[i]
area = cv2.contourArea(cnt)
# find max countour
if (area>max_area):
if(max_area!=0):
c_min = []
c_min.append(max_cnt)
cv2.drawContours(img, c_min, -1, (0,0,0), cv2.FILLED)
max_area = area
max_cnt = cnt
else:
c_min = []
c_min.append(cnt)
cv2.drawContours(img, c_min, -1, (0,0,0), cv2.FILLED)

c_max.append(max_cnt)
cv2.drawContours(img, c_max, -1, (255, 255, 255), thickness=-1)

cv2.imwrite("mask.png", img)
#cv2.imshow('mask',img)
#cv2.waitKey(0)

def p(a):
return a+1

if __name__ == "__main__":
pre_processing()
print (p(1))

C++代码：（cpp_python.cpp）

#include <Python.h>
#include <iostream>
#cinlude <string>

using namespace std;

void img_processing();
int great_function_from_python(int a);

int main()
{
Py_Initialize();

//python 2.7 和 python 3.5是有区别的。
//python 3.5需要用wchar_t
char str[] = "Python";
Py_SetProgramName(str);
if(!Py_IsInitialized())
cout << "init faild/n" << endl;
# 下面可以只是方便调试，可以不用。
PyRun_SimpleString("import sys");
PyRun_SimpleString("sys.path.append('./')");
PyRun_SimpleString("import cv2");
PyRun_SimpleString("import numpy as np");
PyRun_SimpleString("print ("Hello Python!")\n");

img_processing();

int sum = great_function_from_python(2);
cout << "sum：" << sum << endl;

Py_Finalize();

return 0;
}

# 不需要传入参数和返回参数
void img_processing()
{
PyObject * pModule = NULL;
PyObject * pFunc   = NULL;

pModule = PyImport_ImportModule("processing_module");
if (pModule == NULL) {
printf("ERROR importing module");
}

pFunc  = PyObject_GetAttrString(pModule, "pre_processing");
if(pFunc != NULL) {
PyObject_CallObject(pFunc, NULL);
}
else {
cout << "pFunc returned NULL" <<endl;
}

}

#需要输入参数和返回参数
int great_function_from_python(int a)
{

int res;

PyObject *pModule,*pFunc;
PyObject *pArgs, *pValue;

/* import */
pModule = PyImport_Import(PyString_FromString("processing_module"));

/* great_module.great_function */
pFunc = PyObject_GetAttrString(pModule, "p");

/* build args */
pArgs = PyTuple_New(1);
PyTuple_SetItem(pArgs,0, PyInt_FromLong(a));

/* call */
pValue = PyObject_CallObject(pFunc, pArgs);

res = PyInt_AsLong(pValue);

return res;

}

g++：

g++ cpp_python.cpp -I /usr/include/python2.7 -L /usr/lib/python2.7/config-x86_64-linux-gpu -lpython2.7

CMakeLists.txt：

cmake_minimum_required(VERSION 2.8)

set(PROJECT_NAME test02)

project(${PROJECT_NAME})

configure_file(processing_module.py processing_module.py COPYONLY)
configure_file(IMG_3204.png IMG_3204.png COPYONLY)

set(PYTHON_ROOT /usr)
include_directories(${PYTHON_ROOT}/include/python2.7/)
link_directories(${PYTHON_ROOT}/lib/python2.7/config-x86_64-linux-gpu/)

set(SRCS cpp_python.cpp)

add_executable(${PROJECT_NAME} ${SRCS})
target_link_libraries(${PROJECT_NAME} -lpython2.7)

set(CMAKE_CXX_FLAGS_RELEASE "-Wall -std=c++11")
set(CMAKE_CXX_FLAGS_DEBUG "-Wall -g -std=c++11")
set(CMAKE_BUILD_TYPE Debug)

很不错的参考：http://gashero.yeax.com/?p=38

C++与python传参多维数组：http://blog.csdn.net/stu_csdn/article/details/69488385

C++调用boost.python、boost.Numpy:

boost.Numpy的安装：

下载：git clone https://github.com/ndarray/Boost.NumPy.git cd Boost.Numpy
mkdir build
cd build
cmake ..
make
make install

CMakeLists.txt

cmake_minimum_required( VERSION 2.8 )

set(PROJECT_NAME test02)
project(${PROJECT_NAME})

# Find necessary packages
find_package( PythonLibs 2.7 REQUIRED )
include_directories( ${PYTHON_INCLUDE_DIRS} )

find_package( Boost COMPONENTS python REQUIRED )
include_directories( ${Boost_INCLUDE_DIR} )

# OpenCV
find_package(OpenCV REQURIED)
include_directories(${OpenCV_INCLUDE_DIRS})

set(SRCS main.cpp)
add_executable(${PROJECT_NAME} ${SRCS})

target_link_libraries(${PROJECT_NAME} ${Boost_LIBRARIES})
target_link_libraries(${PROJECT_NAME} ${PYTHON_LIBRARIES})
target_link_libraries(${PROJECT_NAME} ${OpenCV_LIBRARIES})

C++调用Python时，传递参数为数组可参考：

（1）boost.python：https://feralchicken.wordpress.com/2013/12/07/boost-python-hello-world-example-using-cmake/

（2）boost.Numpy使用：http://blog.csdn.net/shizhuoduao/article/details/67673604

（3）https://ubuntuforums.org/archive/index.php/t-1266059.html

（4）http://blog.numerix-dsp.com/2013/08/how-to-pass-c-array-to-python-solution.html

（5）https://docs.scipy.org/doc/numpy/reference/c-api.array.html#c.PyArray_FILLWBYTE

（6）https://svn.ssec.wisc.edu/repos/collocation/tags/airsmod-eweisz/c++/python.cpp

C++调用Python参考：https://www.zhihu.com/question/23003213

Linux下gdb调试C++代码：http://jingyan.baidu.com/article/acf728fd464984f8e410a369.html