Skip to main content

Stretch the dynamic range of the given 8-bit grayscale image using MATL...

How to use batch files to create an executable for a model which has model references?

 Let's say we have models r1 and r2 where r1 is a model reference inside r2. When we generate code (Simulink coder - Generate code only) for r2, everything works fine and we get the artifacts. In the artifacts, we have a 'r2.bat' file in 'r2_grt_rtw\'.

When we run 'r2_grt_rtw\r2.bat' the make process fails as it does not know how to make or find 'r1' model libs. Now, the 'r2_grt_rtw\r2.bat' build will pass if we manually make 'r1.bat' found in 'slprj\grt\r1' and we also need to build the shared lib using 'slprj\grt\_sharedutils\rtwshared.bat'. (See reproduction steps for more clarity)
Questions:
  • How to automate this such that the making of model references & shared libs i.e. executing 'slprj\grt\r1\r1.bat' & 'slprj\grt\_sharedutils\rtwshared.bat' becomes part of 'r2_grt_rtw\r2.bat' ??
  • If the first question is not feasible then how can we add custom hooks into 'r2_grt_rtw\r2.bat' or 'r2_grt_rtw\r2.mk' through Simulink Coder, to achieve the execution of 'slprj\grt\r1\r1.bat', 'slprj\grt\_sharedutils\rtwshared.bat' & may be more model references batch scripts ?? My assumption is that hooks in a makefile can help us in executing make commands for referenced models.

ANSWER


Matlabsolutions.com provide latest MatLab Homework Help,MatLab Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research.

Please see the following points:
  • Through a suitable hook - like postCodeGen - you can programmatically construct a master script to call the individual makefiles / bat scripts. 
  • You can access the list of referenced models by querying 'buildInfo.ModelRefs'. BuildInfo is one of the auto-generated artifacts in the form of a MAT file, which you can load and access its data.
  • Here's some pseudocode that will compose paths of Model Reference libraries (and rtwsharedlib)
% Extract referenced model info
mdls = args.buildInfo.ModelRefs;

% Find the path of the directory code generation was started from
startDir = args.buildInfo.Settings.LocalAnchorDir;

% Initialize empty cell for path info
paths = cell(size(mdls));

% Additional Code for the Relative Directory
% Determine your current working directory
currentDir = pwd;

% Remove the starting directory from the current directory, this will leave
% only the path from the starting directory to the current folder.
pathFromAnchor = currentDir(2+length(startDir):end);

% Extract all the folders between the starting directory and the current
% directory
folders = strsplit(pathFromAnchor,'\');

% Create the relative path to the start directory based on the number of
% folders between the start and current directories.
relativePath = repmat('../',1,length(folders));

% If there are model references loop over them and construct the path for
% each reference

if ~isempty(mdls)
  for i = 1:length(mdls)
      libname = mdls(i).Name;
      fullpath = replace(mdls(i).Path,'$(START_DIR)\', relativePath);
      paths{i} = [fullpath,'\',libname];
  end
end

 
So, to conclude, using the above script as reference, you should be able to compose a script to build the generate code.

Comments

Popular posts from this blog

https://journals.worldnomads.com/scholarships/story/70330/Worldwide/Dat-shares-his-photos-from-Bhutan https://www.blogger.com/comment.g?blogID=441349916452722960&postID=9118208214656837886&page=2&token=1554200958385 https://todaysinspiration.blogspot.com/2016/08/lp-have-look-at-this-this-is-from.html?showComment=1554201056566#c578424769512920148 https://behaviorpsych.blogspot.com/p/goal-bank.html?showComment=1554201200695 https://billlumaye.blogspot.com/2012/10/tagg-romney-drops-by-bill-show.html?showComment=1550657710334#c7928008051819098612 http://blog.phdays.com/2014/07/review-of-waf-bypass-tasks.html?showComment=1554201301305#c6351671948289526101 http://www.readyshelby.org/blog/gifts-of-preparedness/#comment_form http://www.hanabilkova.svet-stranek.cz/nakup/ http://www.23hq.com/shailendrasingh/photo/21681053 http://blogs.stlawu.edu/jbpcultureandmedia/2013/11/18/blog-entry-10-guns-as-free-speech/comment-page-1443/#comment-198345 https://journals.worldnomads.com

USING MACHINE LEARNING CLASSIFICATION ALGORITHMS FOR DETECTING SPAM AND NON-SPAM EMAILS

    ABSTRACT We know the increasing volume of unwanted volume of emails as spam. As per statistical analysis 40% of all messages are spam which about 15.4 billion email for every day and that cost web clients about $355 million every year. Spammers to use a few dubious techniques to defeat the filtering strategies like utilizing irregular sender addresses or potentially add irregular characters to the start or the finish of the message subject line. A particular calculation is at that point used to take in the order rules from these email messages. Machine learning has been contemplated and there are loads of calculations can be used in email filtering. To classify these mails as spam and non-spam mails implementation of machine learning algorithm  such as KNN, SVM, Bayesian classification  and ANN  to develop better filtering tool.   Contents ABSTRACT 2 1. INTRODUCTION 4 1.1 Objective : 5 2. Literature Review 5 2.1. Existing Machine learning technique. 6 2.2 Existing

Why are Fourier series important? Are there any real life applications of Fourier series?

A  Fourier series  is a way of representing a periodic function as a (possibly infinite) sum of sine and cosine functions. It is analogous to a Taylor series, which represents functions as possibly infinite sums of monomial terms. A sawtooth wave represented by a successively larger sum of trigonometric terms. For functions that are not periodic, the Fourier series is replaced by the Fourier transform. For functions of two variables that are periodic in both variables, the trigonometric basis in the Fourier series is replaced by the spherical harmonics. The Fourier series, as well as its generalizations, are essential throughout the physical sciences since the trigonometric functions are eigenfunctions of the Laplacian, which appears in many physical equations. Real-life applications: Signal Processing . It may be the best application of Fourier analysis. Approximation Theory . We use Fourier series to write a function as a trigonometric polynomial. Control Theory . The F