如下所示：

#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();}

初始化：

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);

传输代码：

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);

Python部分：

importcv2import numpyas npw=227h=227c=3sess = Nonedef 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 mdef 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)

其实还可以用imencode来解决：本文尚未完善

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());

以上这篇c++ 调用python传输图片实例就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。