在python的c扩展中使用opencv时出现问题?

在python的c扩展中使用opencv时出现问题?,python,c++,opencv,python-c-api,Python,C++,Opencv,Python C Api,我正在尝试编写一个简单的python c扩展,其中包含一些opencv代码。这是我的C++代码: #include "Python.h" #include "numpy/arrayobject.h" #include <opencv2/core/core.hpp> #include <opencv2/imgproc/imgproc.hpp> /* .... C matrix utility functions ..................*/ double

我正在尝试编写一个简单的python c扩展,其中包含一些opencv代码。这是我的C++代码:

#include "Python.h"
#include "numpy/arrayobject.h"

#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>


 /* .... C matrix utility functions ..................*/
double **pymatrix_to_Carrayptrs(PyArrayObject *arrayin);
double **ptrvector(long n);
void free_Carrayptrs(double **v);
int  not_doublematrix(PyArrayObject *mat);

static PyObject *simple_cv_ops(PyObject *self, PyObject *args)
{
    PyArrayObject *matin, *matout;
    double **cin, **cout;
    int n,m, dims[2];

    /* Parse tuples separately since args will differ between C fcns */
    if (!PyArg_ParseTuple(args, "O!", &PyArray_Type, &matin))  return NULL;
    if (NULL == matin)  return NULL;

    /* Check that object input is 'double' type and a matrix
       Not needed if python wrapper function checks before call to this routine */
    if (not_doublematrix(matin)) return NULL;

    /* Get the dimensions of the input */
    n=dims[0]=matin->dimensions[0];
    m=dims[1]=matin->dimensions[1];

    /* Make a new double matrix of same dims */
    matout=(PyArrayObject *) PyArray_FromDims(2,dims,NPY_DOUBLE);

    /* Change contiguous arrays into C ** arrays (Memory is Allocated!) */
    cin=pymatrix_to_Carrayptrs(matin);
    cout=pymatrix_to_Carrayptrs(matout);

    // _______ Program LOGIC HERE ________

    cv::Mat kernel = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(10, 10), cv::Point(-1, -1));
    cv::Mat imgIn(n, m, CV_64F, cin);
    cv::Mat imgOut(n, m, CV_64F);

    cv::morphologyEx(imgIn, imgOut, cv::MORPH_CLOSE, kernel);
    cv::GaussianBlur(imgOut, imgOut, cv::Size(5, 5), 0, 0);
    cv::medianBlur(imgOut, imgOut, 5);
    cv::threshold(imgOut, imgOut, 127, 255, 0);

    for (int i = 0; i < n; i++)
    {
        for (int j = 0; j < m; j++)
        {
            cout[i][j] = imgOut.at<double>(i,j);

        }
    }   

// ____________________________________

    /* Free memory, close file and return */
    free_Carrayptrs(cin);
    free_Carrayptrs(cout);

    return PyArray_Return(matout);
}


/* ==== Set up the methods table ====================== */
static PyMethodDef simple_cv_methods[] = {
    {"simple_cv_ops", simple_cv_ops, METH_VARARGS, "Just a simple cv operation"},
    {NULL, NULL, 0, NULL}     /* Sentinel - marks the end of this structure */
};

static struct PyModuleDef simple_cv_modules = {
    PyModuleDef_HEAD_INIT,
    "simple_cv",
    "Python interface for the simple cv ops C library function",
    -1,
    simple_cv_methods
};

PyMODINIT_FUNC PyInit_simple_cv(void) {
    PyObject *pyob;

    pyob = PyModule_Create(&simple_cv_modules);
    import_array();

    return pyob;
}


/* ==== Create Carray from PyArray ======================
Assumes PyArray is contiguous in memory.
Memory is allocated!                                    */
double **pymatrix_to_Carrayptrs(PyArrayObject *arrayin)  {
    double **c, *a;
    int i,n,m;

    n=arrayin->dimensions[0];
    m=arrayin->dimensions[1];
    c=ptrvector(n);
    a=(double *) arrayin->data;  /* pointer to arrayin data as double */
    for ( i=0; i<n; i++)  {
        c[i]=a+i*m;  }
    return c;
}

/* ==== Allocate a double *vector (vec of pointers) ======================
Memory is Allocated!  See void free_Carray(double ** )                  */
double **ptrvector(long n)  {
    double **v;
    v=(double **)malloc((size_t) (n*sizeof(double)));
    if (!v)   {
        printf("In **ptrvector. Allocation of memory for double array failed.");
        exit(0);  }
    return v;
}

/* ==== Free a double *vector (vec of pointers) ========================== */
void free_Carrayptrs(double **v)  {
    free((char*) v);
}

/* ==== Check that PyArrayObject is a double (Float) type and a matrix ==============
return 1 if an error and raise exception */
int  not_doublematrix(PyArrayObject *mat)  {
    if (mat->descr->type_num != NPY_DOUBLE || mat->nd != 2)  {
        PyErr_SetString(PyExc_ValueError,
            "In not_doublematrix: array must be of type Float and 2 dimensional (n x m).");
        return 1;  }
    return 0;
}
运行python安装程序时,会出现以下错误:

simple_cv.obj:错误LNK2001:未解析的外部符号“double” __cdecl cv::阈值(类别cv:_输入数组常量&,类别cv:_输出数组常量&,double,double,int)” (?threshold@cv@@亚纳波夫_InputArray@1@AEBV_OutputArray@1@NNH@Z) simple_cv.obj:错误LNK2001:未解析的外部符号“public: void uu cdecl cv::Mat::deallocate(void)”(?deallocate@Mat@cv@@QEAAXZ) simple_cv.obj:错误LNK2001:未解析的外部符号“public: void uu cdecl cv::Mat::create(int,int const*,int)” (?create@Mat@简历@@QEAAXHPEBHH@Z)simple_cv.obj:错误LNK2001: 未解析的外部符号“类别cv::Mat\uu cdecl cv::getStructuringElement(int,类cv::Size,类 cv::点() (?getStructuringElement@cv@@是吗?AVMat@1@HV?$尺寸_@H@1@五分_@H@1@@Z) simple_cv.obj:错误LNK2001:未解析的外部符号“void” __cdecl cv::GaussianBlur(类别cv:_输入阵列常数&,类别cv::输出阵列常数&,类别cv::大小,双精度,双精度,整数)” (?GaussianBlur@cv@@雅克萨韦布_InputArray@1@AEBV_OutputArray@1@V?$Size_@H@1@NNH@Z) simple_cv.obj:错误LNK2001:未解析的外部符号“void” __cdecl cv::fastFree(void*)“(?)?fastFree@cv@@YAXPEAX@Z)simple_cv.obj:错误LNK2001:未解析的外部符号“private:void u cdecl” cv::String::解除分配(无效)“”(?deallocate@String@cv@@AEAAXXZ) simple_cv.obj:错误LNK2001:未解析的外部符号“private: char*\uuuCDECL cv::String::allocate(无符号\uuuuInt64)” (?allocate@String@cv@@AEAAPEAD_K@Z)simple_cv.obj:错误LNK2001: 未解析的外部符号“void\uu cdecl cv::error(int,class cv::字符串常量&,字符常量*,字符常量*,int)” (?error@cv@@YAXHAEBVString@1@PEBD1H@Z)simple_cv.obj:错误LNK2001: 未解析的外部符号“void\uu cdecl cv::morphologyEx(类 cv::_输入数组常量&,类cv:_输出数组常量&,int,类 cv::InputArray常量&,类cv::Point,int,int,class cv::标量常数&) (?morphologyEx@cv@@雅克萨韦布_InputArray@1@AEBV_OutputArray@1@H0V?$Point_@H@1@HHAEBV?$Scalar_@N@1@@Z) simple_cv.obj:错误LNK2001:未解析的外部符号“void” __cdecl cv::medianBlur(类别cv:_输入列常量&,类别cv:_输出列常量&,int)” (?medianBlur@cv@@雅克萨韦布_InputArray@1@AEBV_OutputArray@1@H@Z) build\lib.win-amd64-3.6\simple\u cv\u c.cp36-win\u amd64.pyd:致命错误 LNK1120:12未解析的外部错误:命令“C:\Program Files” (x86)\Microsoft Visual Studio Studio\2017\Enterprise\VC\Tools\MSVC\14.12.25827\bin\HostX86\x64\link.exe' 失败,退出状态为1120

现在我知道这些都是链接器错误。我在VisualStudio中编码时遇到了这个问题,我通过在VisualStudio项目设置的链接器选项卡中将lib路径添加到其他库目录中来解决这个问题。但在这里我不知道该怎么办

顺便说一下,我正在使用windows 10、Visual Studio 2017和python 3.6

有人能帮我吗?

我找到了答案

看起来像是来自distutils的Pythons扩展类。核心模块有两个附加的库输入参数,分别是库目录和

因此,我必须更改我的setup.py代码,如下所示:

import numpy
from distutils.core import setup, Extension

def main():
    setup(name="simple_cv",
          version="1.0.0",
          description="Python interface for the simple cv C extension library function",
          author="My Name",
          author_email="my_email@email.com",
          ext_modules=[Extension("simple_cv", ["simple_cv.cpp"],
                  include_dirs=[numpy.get_include(), 'C:/opencv/build/include']),
                  library_dirs = ['C:\\opencv\\build\\x64\\vc14\\lib'],
                  libraries = ['opencv_world330']])

if __name__ == "__main__":
    main()
import numpy
from distutils.core import setup, Extension

def main():
    setup(name="simple_cv",
          version="1.0.0",
          description="Python interface for the simple cv C extension library function",
          author="My Name",
          author_email="my_email@email.com",
          ext_modules=[Extension("simple_cv", ["simple_cv.cpp"],
                  include_dirs=[numpy.get_include(), 'C:/opencv/build/include']),
                  library_dirs = ['C:\\opencv\\build\\x64\\vc14\\lib'],
                  libraries = ['opencv_world330']])

if __name__ == "__main__":
    main()