介绍 # include & lt; Python.h>
# include & lt; arrayobject.h>
,
# include “opencv2/imgcodecs.hpp"
# include “opencv2/imgproc.hpp"
# include “opencv2/videoio.hpp"
# include & lt; opencv2/highgui.hpp>
# include & lt; opencv2/video.hpp>
# include “opencv2/视频/background_segm.hpp"//using namespace 性传播疾病;
int init_numpy (), {
,import_array ();
} , Py_SetPythonHome (L" D: \ \ \ \用户联想\ \ Anaconda3 \ \ env \ \ python35");
,Py_Initialize ();
,init_numpy ();
,PyRun_SimpleString (“import sys");
,PyRun_SimpleString (“sys.path.append (& # 39;。/& # 39;)“);=,pModule 零;=,pFunc 零;=,pModule PyImport_ImportModule (“demo");=,pFunc PyObject_GetAttrString (pModule,“load_model");
,PyEval_CallObject (pFunc, NULL); ,简历:Mat img =简历::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 小姐:=,0;,小姐:& lt;, m,我+ +)
,{
for 才能;(int j =, 0;, j & lt;, n;, j + +)
{才能
,,数据[p]=, img.at (i, j);
,,p + +;
,,}
,}
,npy_intp 降低[2]=,{,m, n },,//给定维度信息
,PyObject * PyArray =, PyArray_SimpleNewFromData(2,,会变暗,NPY_UBYTE,,数据);
,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 (ArgArray pFuncFive也);
,int 结果;
,PyArg_Parse (pReturn,“我,,,结果);
,CString strtemp;
,strtemp.Format (_T (“% d"),结果);
之前,对话框(strtemp); importcv2
import numpyas np
w=227
h=227
c=3
时间=sess 没有
def arrayreset(数组):
,# for 小姐:inrange (array.shape [1]/3):
,#通过=,,a array [: 0: len(数组[0]大敌;2,):3)=,,b array [:,, 1: len(数组[0]大敌;作用;2,):3)=,,c array [:,, 2: len(数组[0]大敌;作用;2,):3)
,a =, (:,,,,,)=,b b (:,,,,,)=,c c (:,,,,,)=,,m np.concatenate ((a, b, c),轴=2)
return m
def load_model ():
global 税=,,sess tf.Session ()=,,saver tf.train.import_meta_graph(& # 39;。/模型/model.ckpt.meta& # 39;)
,saver.restore(,税,tf.train.latest_checkpoint(& # 39;。/模型/& # 39;),)
def load_image(图片):=,,img arrayreset(图片) Mat image =, imread (“d: \ \ 11. jpeg",, CV_LOAD_IMAGE_COLOR);
IplImage IplImage =,形象;
vector (2);
参数[0],=,CV_IMWRITE_JPEG_QUALITY;
参数[1],=,95;//默认(95),0 - 100,
imencode (“.jpg",形象,迷,参数);
std:: string str_encode (buff.begin (),, buff.end ());
本篇文章为大家展示了如何在c++中通过调用python传输图片,内容简明扼要并且容易理解,绝对能使你眼前一亮,通过这篇文章的详细介绍希望你能有所收获。
<>强如下所示:
<强>初始化:
<强>传输代码:
<强> Python部分:
其实还可以用imencode来解决:本文尚未完善
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