c++ 调用python传输图片实例

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
= 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)

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

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