c++ 调用python传输图片实例

#include <Python.h>

#include <arrayobject.h>

 

#include "opencv2/imgcodecs.hpp"

#include "opencv2/imgproc.hpp"

#include "opencv2/videoio.hpp"

#include <opencv2/highgui.hpp>

#include <opencv2/video.hpp>

#include "opencv2/video/background_segm.hpp"

//using namespace std;

int init_numpy() {

 import_array();

}

 Py_SetPythonHome(L"D:\\Users\\Lenovo\\Anaconda3\\envs\\python35");

 Py_Initialize();

 init_numpy();

 PyRun_SimpleString("import sys");

 PyRun_SimpleString("sys.path.append('./')");

 pModule = NULL;

 pFunc = NULL;

 pModule =PyImport_ImportModule("demo");

 pFunc =PyObject_GetAttrString(pModule, "load_model");

 PyEval_CallObject(pFunc,NULL);

 cv::Mat img =cv::imread("d:\\1.jpg", CV_LOAD_IMAGE_COLOR);

 int m, n;

 n = img.cols *3;

 m = img.rows;

 unsigned char *data = (unsigned char*)malloc(sizeof(unsignedchar) * m * n);

 int p = 0;

 for (int i = 0; i < m;i++)

 {

  for (int j = 0; j < n; j++)

  {

   data[p]= img.at<unsignedchar>(i, j);

   p++;

  }

 }

 npy_intp Dims[2]= { m, n }; //给定维度信息

 PyObject*PyArray = PyArray_SimpleNewFromData(2, Dims, NPY_UBYTE, data);

 PyObject*ArgArray = PyTuple_New(1);

 PyTuple_SetItem(ArgArray,0, PyArray);

 PyObject *pDict= nullptr;

 pDict =PyModule_GetDict(pModule);

 PyObject*pFuncFive = PyDict_GetItemString(pDict, "load_image");

 //PyObject_CallObject(pFuncFive, ArgArray);

 

 PyObject*pReturn = PyObject_CallObject(pFuncFive, ArgArray);

 int result;

 PyArg_Parse(pReturn,"i", &result);

 CString strtemp;

 strtemp.Format(_T("%d"), result);

 MessageBox(strtemp);

importcv2
import numpyas np

w=227
h=227
c=3
sess = None
def arrayreset(array):
 # for i inrange(array.shape[1]/3):
 #  pass
 a = array[:,0:len( array[0] -2 ):3]
 b = array[:, 1:len( array[0] - 2 ):3]
 c = array[:, 2:len( array[0] - 2 ):3]
 a = a[:, :, None]
 b = b[:, :, None]
 c = c[:, :, None]
 m = np.concatenate((a,b,c),axis=2)
 return m
def load_model():
 global sess
 sess = tf.Session()
 saver = tf.train.import_meta_graph( './model/model.ckpt.meta')
 saver.restore( sess, tf.train.latest_checkpoint('./model/') )

def load_image(image):
 img = arrayreset(image)

Mat image = imread("d:\\11.jpeg", CV_LOAD_IMAGE_COLOR);


IplImage iplimage = image;


vector<uchar> buff;//buffer for coding 


vector<int> param = vector<int>(2);


param[0] = CV_IMWRITE_JPEG_QUALITY;


param[1] = 95;//default(95) 0-100 

imencode(".jpg", image, buff, param);
std::string str_encode(buff.begin(), buff.end());