如下所示：
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#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：
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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：
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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：
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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
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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) 0-100imencode(".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服务器之家。
原文链接：https://blog.csdn.net/jacke121/article/details/78574476
