buildcv useful tool for maltab

本文介绍了一种使用MATLAB的mex工具编译OpenCV和Boost库的方法。该过程涉及配置路径、编译选项及链接库文件等步骤,确保最终能够成功调用这些库的功能。

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function buildcv(src)

ARC = 'x64';

BIN_PATH = ['D:\libs\cv\2.4.10\', ARC ,'\vc12.0\bin'];
INC_OPT = '-ID:\libs\cv\2.4.10\include\opencv ';
INC_OPT = [INC_OPT, '-ID:\libs\cv\2.4.10\include '];

LIB_PATH = ['D:\libs\cv\2.4.10\', ARC ,'\vc12.0\lib'];
LIBS = ' ';


LIBS_ORG = dir([LIB_PATH, '\*.lib']);
for i = 1:numel(LIBS_ORG)
  CUR_LIB = strtrim(LIBS_ORG(i).name);
  if (CUR_LIB(end-4)~='d')
    LIBS = [LIBS, '-l', CUR_LIB, ' '];
  end
end

LIB_OPT = ['-L', LIB_PATH, ' ', LIBS];


% Add boost support
INC_OPT = [INC_OPT, ' ', '-ID:\libs\boost\1.57.0 '];
LIB_OPT = [LIB_OPT, ' ', '-LD:\libs\boost\1.57.0\stage\vs12.0\', ARC, ' '];


compile_cmd = ['mex -v -O ', INC_OPT, LIB_OPT, src];
eval(compile_cmd);

PATH_STR = getenv('PATH');
if (numel(strfind(PATH_STR, 'cv'))==0)
  setenv('PATH', [BIN_PATH, ';', PATH_STR]);
end

end
### MATLAB Workbook or Tutorial for DCRS When dealing with Distributed Control and Real-Time Systems (DCRS), finding appropriate resources that cater specifically to these systems within the context of MATLAB can be crucial for both learning and practical application purposes. While direct references to specific workbooks are not provided here, a structured approach using MATLAB's inherent capabilities combined with external educational materials offers an effective pathway. #### Utilizing Official Documentation and Toolboxes MATLAB provides extensive support through its official documentation which covers various aspects including real-time systems and control design[^1]. The MathWorks website hosts numerous tutorials on how to implement distributed control strategies as well as simulate real-time applications. Exploring sections dedicated to Simulink Real-Time™ and related toolboxes such as Model Predictive Control Toolbox™ would provide insights into designing controllers suitable for DCRS environments. ```matlab % Example code snippet demonstrating basic setup for simulation in Simulink model = 'distributedControlSystem'; open_system(model); sim(model); % Run simulation ``` #### Leveraging Community Contributions Beyond official channels, leveraging community contributions via platforms like File Exchange on MATLAB Central allows access to user-developed models relevant to DCRS topics. Searching terms like "real time", "distributed system", or even more specialized phrases pertaining directly to areas of interest may yield useful results. Additionally, academic papers often include supplementary material written explicitly for MATLAB users, providing valuable case studies and examples. #### Engaging Educational Platforms Educational institutions frequently publish courseware online covering advanced engineering subjects where MATLAB plays a significant role. Websites affiliated with universities might offer free lecture notes, assignments, and video lectures focusing on implementing algorithms pertinent to DCRS theory and practice. Coursera, edX, among others, sometimes feature courses taught by industry experts who utilize MATLAB extensively throughout their curriculum. --related questions-- 1. How does one integrate custom hardware interfaces with MATLAB/Simulink for real-time testing? 2. What libraries exist outside of MATLAB’s standard distribution that enhance development for DCRS projects? 3. Can you recommend any textbooks specializing in teaching principles behind DCRS alongside hands-on exercises utilizing MATLAB? 4. Are there active forums or groups focused exclusively on discussing challenges faced when working with DCRS in MATLAB?
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