c++ 调用python传输图片实例_C/C++

c++ 调用python传输图片实例

2021-08-08 17:11ShellCollector C/C++

今天小编就为大家分享一篇c++ 调用python传输图片实例，具有很好的参考价值，希望对大家有所帮助。一起跟随小编过来看看吧

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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									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)

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) 0-100

									imencode(".jpg", image, buff, param);

									std::string str_encode(buff.begin(), buff.end());