halcon转c++代码在VS2019中调用

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已于 2024-08-19 22:45:33 修改

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文章标签： c++ 开发语言

于 2023-08-09 20:02:20 首次发布

本文链接：https://blog.youkuaiyun.com/chalindian6720/article/details/132196045

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将halcon写好的代码，转成c++代码，配置好visual studio环境后，在vs2019中编译运行。

以一张图片为示例：

计算中间区域的长度和宽度。

在halcon中写一个函数，

*get_diameter_of_handain_region (Mask, Row, Column, Phi, Length1, Length2)

get_image_size(Mask,Width,Height)
threshold(Mask,Region,255,255)
opening_circle(Region,Region1,12)
connection(Region1,ConnectedRegions)
select_shape(ConnectedRegions,SelectedRegions,'area','and',300, 99999)
area_center (SelectedRegions, Area, Row, Column)
dis := abs(Row - Height*0.5)+abs(Column - Width*0.5)
tuple_min(dis,dis_min)
tuple_find(dis,dis_min,indice)
select_obj (SelectedRegions, RegionSelected, indice + 1)
gen_contour_region_xld(RegionSelected,Contour,'border')
smooth_contours_xld(Contour,SmoothContour,15)
gen_region_contour_xld(SmoothContour,SmoothRegion,'filled')
smallest_rectangle2(SmoothRegion,Row,Column,Phi,Length1,Length2)
gen_rectangle2(Rectangle,Row,Column,Phi,Length1,Length2)
return ()

在halcon的当前页面中，打开该函数，点击选项卡中的"文件"--”导出程序"

选择"当前函数"，就会生成一个cpp文件

///
// File generated by HDevelop for HALCON/C++ Version 22.05.0.0
// Non-ASCII strings in this file are encoded in local-8-bit encoding (cp936).
// Ensure that the interface encoding is set to locale encoding by calling
// SetHcppInterfaceStringEncodingIsUtf8(false) at the beginning of the program.
// 
// Please note that non-ASCII characters in string constants are exported
// as octal codes in order to guarantee that the strings are correctly
// created on all systems, independent on any compiler settings.
// 
// Source files with different encoding should not be mixed in one project.
///



#ifndef __APPLE__
#  include "HalconCpp.h"
#  include "HDevThread.h"
#else
#  ifndef HC_LARGE_IMAGES
#    include <HALCONCpp/HalconCpp.h>
#    include <HALCONCpp/HDevThread.h>
#  else
#    include <HALCONCppxl/HalconCpp.h>
#    include <HALCONCppxl/HDevThread.h>
#  endif
#endif



using namespace HalconCpp;

// Procedure declarations 
void get_diameter_of_handain_region (HObject ho_Mask, HTuple *hv_Row, HTuple *hv_Column, 
    HTuple *hv_Phi, HTuple *hv_Length1, HTuple *hv_Length2);
// Procedures 
void get_diameter_of_handain_region (HObject ho_Mask, HTuple *hv_Row, HTuple *hv_Column, 
    HTuple *hv_Phi, HTuple *hv_Length1, HTuple *hv_Length2)
{

  // Local iconic variables
  HObject  ho_Region, ho_Region1, ho_ConnectedRegions;
  HObject  ho_SelectedRegions, ho_RegionSelected, ho_Contour;
  HObject  ho_SmoothContour, ho_SmoothRegion, ho_Rectangle;

  // Local control variables
  HTuple  hv_Width, hv_Height, hv_Area, hv_dis;
  HTuple  hv_dis_min, hv_indice;

  GetImageSize(ho_Mask, &hv_Width, &hv_Height);
  Threshold(ho_Mask, &ho_Region, 255, 255);
  OpeningCircle(ho_Region, &ho_Region1, 12);
  Connection(ho_Region1, &ho_ConnectedRegions);
  SelectShape(ho_ConnectedRegions, &ho_SelectedRegions, "area", "and", 300, 99999);
  AreaCenter(ho_SelectedRegions, &hv_Area, &(*hv_Row), &(*hv_Column));
  hv_dis = (((*hv_Row)-(hv_Height*0.5)).TupleAbs())+(((*hv_Column)-(hv_Width*0.5)).TupleAbs());
  TupleMin(hv_dis, &hv_dis_min);
  TupleFind(hv_dis, hv_dis_min, &hv_indice);
  SelectObj(ho_SelectedRegions, &ho_RegionSelected, hv_indice+1);
  GenContourRegionXld(ho_RegionSelected, &ho_Contour, "border");
  SmoothContoursXld(ho_Contour, &ho_SmoothContour, 15);
  GenRegionContourXld(ho_SmoothContour, &ho_SmoothRegion, "filled");
  SmallestRectangle2(ho_SmoothRegion, &(*hv_Row), &(*hv_Column), &(*hv_Phi), &(*hv_Length1), 
      &(*hv_Length2));
  GenRectangle2(&ho_Rectangle, (*hv_Row), (*hv_Column), (*hv_Phi), (*hv_Length1), 
      (*hv_Length2));
  return;
}

将该cpp中的函数声明，以及函数实现，复制到vs2019的工程的代码中，然后配置好环境，即可完成调用。

vs2019中的halcon环境配置

halcon设置库目录：

头文件：

C:\Program Files\MVTec\HALCON-22.05-Progress\include

C:\Program Files\MVTec\HALCON-22.05-Progress\include\halconcpp

链接器》常规》附加库目录：

C:\Program Files\MVTec\HALCON-22.05-Progress\lib\x64-win64

链接器》输入》附加依赖项：halconcpp.lib

若生成的算法库，用到的dll文件：

halcon.dll

halconcpp.dll

halconcppxl.dll

注意opencv的cv::mat和halcon的HObject的转换，以及c++中的int, double, string和halcon中的HTuple的类型的转换。

基于halcon测量中区域的长和宽，完整的c++代码实现如下，共3个文件:

halcon_hx.h


#include "HalconCpp.h"
#include "HDevThread.h"
#include <opencv2/opencv.hpp>

using namespace HalconCpp;

HalconCpp::HObject __Mat1ToHObject__(const cv::Mat& image);
cv::Mat HImageToMat(const HalconCpp::HImage& hImg);
HalconCpp::HObject MatToHObject(const cv::Mat& image);

void get_diameter_of_handain_region(HObject ho_Mask, HTuple* hv_Row, HTuple* hv_Column,
    HTuple* hv_Phi, HTuple* hv_Length1, HTuple* hv_Length2);

halcon_hx.cpp


#include "halcon_hx.h"

HalconCpp::HObject __Mat1ToHObject__(const cv::Mat& image)
{
    HalconCpp::HObject hObj = HalconCpp::HObject();
    GenImage1(&hObj, "byte", image.cols, image.rows, (Hlong)image.ptr(0));
    return hObj;
}

HalconCpp::HObject MatToHObject(const cv::Mat& image)
{
    HalconCpp::HObject hObj;
    if (image.type() == CV_8UC1)
        return __Mat1ToHObject__(image);

    else if (image.type() == CV_8UC3)
    {
        std::vector<cv::Mat> vec;
        cv::split(image, vec);
        cv::Mat imgB = vec[0];
        cv::Mat imgG = vec[1];
        cv::Mat imgR = vec[2];
        HalconCpp::HObject himgR = __Mat1ToHObject__(imgR);
        HalconCpp::HObject himgG = __Mat1ToHObject__(imgG);
        HalconCpp::HObject himgB = __Mat1ToHObject__(imgB);
        HalconCpp::Compose3(himgR, himgG, himgB, &hObj);
    }
    return hObj;
}


cv::Mat HImageToMat(const HalconCpp::HImage& hImg)
{
    cv::Mat mat;
    int channels = hImg.CountChannels()[0].I();
    HalconCpp::HImage hImage = hImg.ConvertImageType("byte");
    Hlong hW = 0, hH = 0; HString cType;
    if (channels == 1)
    {
        void* r = hImage.GetImagePointer1(&cType, &hW, &hH);
        mat.create(int(hH), int(hW), CV_8UC1);
        memcpy(mat.data, static_cast<unsigned char*>(r), int(hW * hH));
    }
    else if (channels == 3)
    {
        void* r = NULL, * g = NULL, * b = NULL;
        hImage.GetImagePointer3(&r, &g, &b, &cType, &hW, &hH);
        mat.create(int(hH), int(hW), CV_8UC3);
        std::vector<cv::Mat> vec(3);
        vec[0].create(int(hH), int(hW), CV_8UC1);
        vec[1].create(int(hH), int(hW), CV_8UC1);
        vec[2].create(int(hH), int(hW), CV_8UC1);
        memcpy(vec[2].data, static_cast<unsigned char*>(r), int(hW * hH));
        memcpy(vec[1].data, static_cast<unsigned char*>(g), int(hW * hH));
        memcpy(vec[0].data, static_cast<unsigned char*>(b), int(hW * hH));
        cv::merge(vec, mat);
    }
    return mat;
}

void get_diameter_of_handain_region(HObject ho_Mask, HTuple* hv_Row, HTuple* hv_Column,
    HTuple* hv_Phi, HTuple* hv_Length1, HTuple* hv_Length2)
{

    // Local iconic variables
    HObject  ho_Region, ho_Region1, ho_ConnectedRegions;
    HObject  ho_SelectedRegions, ho_RegionSelected, ho_Contour;
    HObject  ho_SmoothContour, ho_SmoothRegion, ho_Rectangle;

    // Local control variables
    HTuple  hv_Width, hv_Height, hv_Area, hv_dis;
    HTuple  hv_dis_min, hv_indice;

    GetImageSize(ho_Mask, &hv_Width, &hv_Height);
    Threshold(ho_Mask, &ho_Region, 255, 255);
    OpeningCircle(ho_Region, &ho_Region1, 12);
    Connection(ho_Region1, &ho_ConnectedRegions);
    SelectShape(ho_ConnectedRegions, &ho_SelectedRegions, "area", "and", 300, 99999);
    AreaCenter(ho_SelectedRegions, &hv_Area, &(*hv_Row), &(*hv_Column));
    hv_dis = (((*hv_Row) - (hv_Height * 0.5)).TupleAbs()) + (((*hv_Column) - (hv_Width * 0.5)).TupleAbs());
    TupleMin(hv_dis, &hv_dis_min);
    TupleFind(hv_dis, hv_dis_min, &hv_indice);
    SelectObj(ho_SelectedRegions, &ho_RegionSelected, hv_indice + 1);
    GenContourRegionXld(ho_RegionSelected, &ho_Contour, "border");
    SmoothContoursXld(ho_Contour, &ho_SmoothContour, 15);
    GenRegionContourXld(ho_SmoothContour, &ho_SmoothRegion, "filled");
    SmallestRectangle2(ho_SmoothRegion, &(*hv_Row), &(*hv_Column), &(*hv_Phi), &(*hv_Length1),
        &(*hv_Length2));
    GenRectangle2(&ho_Rectangle, (*hv_Row), (*hv_Column), (*hv_Phi), (*hv_Length1),
        (*hv_Length2));
    return;
}

main.cpp

#include <iostream>
#include <opencv2/opencv.hpp>

#include "halcon_hx.h"

int main()
{
	std::string pngpath= "D:/my_code/halcon/jianhexian/images/jhx_solder/000_crop_mask.png";
	cv::Mat crop_mask = cv::imread(pngpath, -1);
	printf("crop_mask: %d %d %d\n", crop_mask.rows, crop_mask.cols, crop_mask.channels());

	HObject HObj_mask = MatToHObject(crop_mask);
	HTuple hv_Row, hv_Column, hv_Phi, hv_Length1, hv_Length2;
	get_diameter_of_handain_region(HObj_mask, &hv_Row, &hv_Column, &hv_Phi, &hv_Length1, &hv_Length2);

	double hd_row = hv_Row[0].D();
	double hd_col = hv_Column[0].D();
	double hd_phi = hv_Phi[0].D();
	double hd_length1 = hv_Length1[0].D();
	double hd_length2 = hv_Length2[0].D();

	printf("hd_row:%.3lf hd_col:%.3lf hd_phi:%.3lf hd_length1:%.3lf hd_length2:%.3lf\n", hd_row, hd_col, hd_phi, hd_length1, hd_length2);

	system("pause");
	return 0;
}

std::string和HTuple之间的数据转换

//std::string转HTuple
std::string light_type="backlight";
const char* pLightType = light_type.c_str();
HTuple hv_light_type = (HTuple)pLightType;

//HTuple转std::string
HTuple hv_light_type = "backlight";
std::string light_type = hv_light_type.S();

参考博客：

【Halcon和C++数据之间的转换(HTuple、double、QString等)】_不存在double到 "const halconcpp::htuple" 的适当转换_【网络星空】的博客-优快云博客

VS2019配置Halcon的c++环境傻瓜式教程_vs2019 c++ halcon配置_asd_sz的博客-优快云博客