Adding and extracting binary resources[www.codeproject.com]

本文介绍如何利用BinRes类在应用程序中添加并提取二进制资源。通过简单几步即可将二进制文件作为资源加入项目,并随时提取使用。文章详细解释了关键函数ExtractBinResource的工作原理及参数含义。
Adding and extracting binary resources
By adrian cooper

Introduction

There may be times when you want to include a binary resource in your apps and extract them later to use on the fly.

How to use the BinRes class

Using the BinRes class is very straightforward. Follow the steps below to use it in an existing project.

After putting the source files (BinRes.cpp and BinRes.h) into the directory you wish to use them from, add the files to your Visual Studio project. Include binres.h in the file you want to use the class:

#include "binres.h" 

There is no need to create an instance of BinRes, because all member functions are declared static. Optionally set up an output path where you want the binary file to be written to using setOutputPath.

BinRes::setOutputPath(strPath);

Finally, call ExtractBinResource passing through the resource name, the resource identifier and the output name you would like for the binary file. E.g.

CTestHarnessDlg::OnExtractResource()
{
BinRes::ExtractBinResource("BIN", 132, "debugViewer.exe");
}

That's all you have to do to take advantage of the BinRes class.

Setting up your binary resource

The first thing we need to do to use the class BinRes in our application is to add a binary file. For my included binary file I decided to visit www.sysinternals.com and downloaded the most excellent DebugView application (which allows you to monitor OutputDebugString calls on your local system). This is the binary exe we will use and add to our resources.

Sample Image

Okay, select the ResourceView tab in Visual Studio, right mouse click the resources and select import to import a new resource.

Sample Image

At the Import Resource Dialog select "Custom" from the Open as combo box, and "All Files (*.*)" from the Files of type combo box and navigate to the binary file you are going to add to your resources. I have selected Dbgview.exe

Sample Image

At the Custom Resource Type dialog box enter a suitable name. I have chosen "BIN" which is short for, you guessed it, BINARIES

And that's it. We have successfully added a binary resource to our test app resources. Now lets move on to looking at how to use the code.

Examining the code

The main function that is used with the BinRes class is ExtractBinResource. Let's now dissect this class function to see exactly what is going on. Here is the function in its entirety.

void BinRes::ExtractBinResource(std::string strCustomResName, 
int nResourceId,
std::string strOutputName)
{
HGLOBAL hResourceLoaded; // handle to loaded resource
HRSRC hRes // handle/ptr to res. info.
char *lpResLock // pointer to resource data
DWORD dwSizeRes;
std::string strOutputLocation;
std::string strAppLocation;

// lets get the app location
strAppLocation = getAppLocation();
strOutputLocation = strAppLocation += "//";
strOutputLocation += strOutputName;

hRes = FindResource(NULL,
MAKEINTRESOURCE(nResourceId),
strCustomResName.c_str()
);

hResourceLoaded = LoadResource(NULL, hRes);
lpResLock = (char *) LockResource(hResourceLoaded);
dwSizeRes = SizeofResource(NULL, hRes);

std::ofstream outputFile(strOutputLocation.c_str(), std::ios::binary);
outputFile.write((const char *) lpResLock, dwSizeRes);
outputFile.close();
}

After we have set up variables the first API that is called is FindResource. This finds the location of the resource identified by nResourceId and gets a handle to it. Obviously, we need this handle so we can load the resource.

hRes = FindResource(NULL, 
MAKEINTRESOURCE(nResourceId),
strCustomResName.c_str()
);

The next line loads our resource into memory so we can work with it.

hResLoad = LoadResource(NULL, hRes);

Once our resource is loaded we get a pointer to it so we can traverse and write the data to an output file. We get a pointer by calling LockResource.

lpResLock = (char *) LockResource(hResLoad);

Now we have a pointer to the resource in memory but how big is the resource? How do we know when to stop writing data to the output file? Ideally we need to get size of the resource, and we do this by calling the aptly named API, SizeofResource.

dwSizeRes = SizeofResource(NULL, hRes);

Now we have got everything we need to write out the data to the file. We have the output name (that's passed in to us by the caller, a pointer to our resource in memory and the size of the resource, so the next thing we do is open an output stream for our file.

std::ofstream outputFile(strTemp.c_str(), std::ios::binary);

With our output file open we then write the resource data in memory to the open file using ofstream's write.

outputFile.write((const char *) lpResLock, dwSizeRes);

And the final step is to close the file.

outputFile.close();

ExtractBinResource parameters explained

  • The first parameter is the name of the new Resource Type we created, when we added our binary resource to the project. In our case we named the new type "BIN", and this is what we pass through.
  • The second parameter is the resource id for our binary resource. In the ResourceView tab it is shown as IDR_BIN1 but if you open resource.h you will see that IDR_BIN1 is an alias for a number. This is the number we need to pass through as the second parameter.
  • The third parameter is the output name of the binary file that is preferred. Simple!
BinRes::ExtractBinResource("BIN", 132, "debugViewer.exe");

Conclusion

And that's it! Et Voila. My first CP article completed. Possible improvements to the class could include adding an output location. At the moment the file is outputted to the same directory the program is run in.

And of course all suggestions/feedback/bug reports are welcomed.

History

  • Version 1 - 21 May 2003 - First version

About adrian cooper


never late, and never early. Hes always on time: its ade!

Click here to view adrian cooper's online profile.

(Kriging_NSGA2)克里金模型结合多目标遗传算法求最优因变量及对应的最佳自变量组合研究(Matlab代码实现)内容概要:本文介绍了克里金模型(Kriging)与多目标遗传算法NSGA-II相结合的方法,用于求解最优因变量及其对应的最佳自变量组合,并提供了完整的Matlab代码实现。该方法首先利用克里金模型构建高精度的代理模型,逼近复杂的非线性系统响应,减少计算成本;随后结合NSGA-II算法进行多目标优化,搜索帕累托前沿解集,从而获得多个最优折衷方案。文中详细阐述了代理模型构建、算法集成流程及参数设置,适用于工程设计、参数反演等复杂优化问题。此外,文档还展示了该方法在SCI一区论文中的复现应用,体现了其科学性与实用性。; 适合人群:具备一定Matlab编程基础,熟悉优化算法和数值建模的研究生、科研人员及工程技术人员,尤其适合从事仿真优化、实验设计、代理模型研究的相关领域工作者。; 使用场景及目标:①解决高计算成本的多目标优化问题,通过代理模型降低仿真次数;②在无法解析求导或函数高度非线性的情况下寻找最优变量组合;③复现SCI高水平论文中的优化方法,提升科研可信度与效率;④应用于工程设计、能源系统调度、智能制造等需参数优化的实际场景。; 阅读建议:建议读者结合提供的Matlab代码逐段理解算法实现过程,重点关注克里金模型的构建步骤与NSGA-II的集成方式,建议自行调整测试函数或实际案例验证算法性能,并配合YALMIP等工具包扩展优化求解能力。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值