c++ - c++ opencv Net type with wrong ram allocation？
问题描述
嗨，我现在正在努力解决有关 opencv 网络类型的问题，它就像私有网络和公共函数：net = cv::dnn::readNetFromONNX(model_path); 但是这种类型有一些问题，虽然没有在 app.h 中声明它，而只是在 makedll.cpp 中声明，但所有其他参数都出现了错误的随机符号和数字，这意味着分配了错误的 ram。在 makedll.cpp 中：
class _declspec(dllexport) ocr
{
private:
//const string _model_path = "./1.onnx";
int crop_mode = 1;
int thresh_mode = 1;
int bitwise_mode2 = 0;
double blur1 = 3;
Net net;
在使用 dll.cpp 时：
class _declspec(dllimport) ocr
{
//private:
//Net net; if i don't redeclare this type, print all params goes wrong.
public:
func1(net,img);
ocr 的任何函数都会因堆栈溢出错误而退出，即使是只有 imshow(picture) 的简单 func 仍然相同。这意味着应用程序现在无法摆脱 opencv，希望得到任何帮助，谢谢！
更多详情如下：
#pragma once
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/opencv_world453.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/ippicvmt.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/libprotobuf.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/ippiw.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/libjpeg-turbo.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/ittnotify.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/ade.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/zlib.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/libopenjp2.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/libpng.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/quirc.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/IlmImf.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/libtiff.lib" )
#pragma comment( lib,"D:/opencv32/install/x86/vc14/staticlib/libwebp.lib" )
#include <stdlib.h>
#include <iostream>
#include <fstream>
#include <opencv2/opencv.hpp>
#include <opencv2/dnn.hpp>
#include <opencv2/dnn/all_layers.hpp>
#include <string>
#include <vector>
#include <algorithm>
#include <array>
#include<cmath>
#include<windows.h>
#include <string>
using std::string;
//define interface
using namespace std;
using namespace cv;
using namespace dnn;
class _declspec(dllexport) ocr
{
private:
//string _model_path;
int crop_mode = 1;
int thresh_mode = 1;
int bitwise_mode2 = 0;
double blur1 = 3;
double blur2 = 11;
int morph_xx, morph_yy;
int morph_x = 1;
int morph_y = 1;
int morph_x2 = 1;
int morph_y2 = 3;
int iteration = 1;
int canny_max = 300;
int min_width = 8;
int flag;
int flag2;
string model_path = "./1.onnx";
dnn::Net net;
int rect_thresh = 0;
int blocksize = 31;
int C = 10;
int a = 3;
int c = 5;
int b = -5;
int d = 10;
int softmax_thresh = 0.9;
int _h = 1;
int _w = 1;
int _channel = 1;
int RGB_mode = 0;//0为默认bgr
//unsigned char * img
int showimg = 1;
public:
void * net0;
/*
void * net0;
ocr() {
this->net0 = new Net();
}
~ocr() {
delete this->net0;
}
*/
ocr(void);
~ocr(void);
void set_print();
void set_showimg(int x);
void set_morph2(int x, int y);
void set_morph(int x, int y);
void set_morph_easy(int x);
void set_blocksize(int _C, int _blocksize = 31);
void set_blocksize_easy(int x);//0:
void set_net(const string model_path);//const string 路径
//void set_net_easy();
ocr::ocr(void)
{
//this->net0 = new Net();
net = cv::dnn::readNetFromONNX(model_path);
}
ocr::~ocr(void)
{
;
//delete this->net0;
//~Net();
}
void ocr::set_print()
{
//cout<<blur <<" blur2" << "\n";
cout << "blur is" << this->blur2;
cout << "morph_x, morph_y :" << this->morph_x << this->morph_y << "\n";
cout << "morph_x2 , morph_y2 :" << this->morph_x2 << this->morph_y2 << "\n";
//cout << "model_path :" << this->model_path << "\n";
cout << "rect_thresh :" << this->rect_thresh << "\n";
cout << "blocksize, C :" << this->blocksize << C << "\n";
cout << "softmax_thresh :" << this->softmax_thresh << "\n";
}