c++ 呼叫python傳輸圖片例項
阿新 • • 發佈:2020-01-07
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);
傳輸程式碼:
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 }; //給定維度資訊 PyObject*PyArray = PyArray_SimpleNewFromData(2,Dims,NPY_UBYTE,data); PyObject*ArgArray = PyTuple_New(1); PyTuple_SetItem(ArgArray,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:
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)
其實還可以用imencode來解決: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());
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