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I am looking for a free C++ conditional random field (CRF) implementation but not for text processing.
There are bunch of cool implementations:
CRFsuite (for text processing)
CRF++ (for text processing)
JGMT (Matlab - MEX not C++)
There are other packages like Darwin and HCRF with no usage examples in C++.
I'm wondering if anybody know any C++ CRF library other than what I mentioned above or know any example on how to setup and use Darwin or HCRF?
DGM is a very poserful but simple-to use CRF library, written on C++11. It was designed especially for image processing and includes many usage examples in tutorials.
It also includes the DenseCRF, mentioned in other answer.
DenseCRF is a great library that performs dense conditional random field (fully-connected CRF) very efficiently. The package comes with an easy to understand C++ demo and some examples. It is very fast and produces promising results on image data.
There is DGM C++ library implementing CRFs for image classification: http://research.project-10.de/dgm
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I am porting an in-house system from Duktape to quickJS to take advantage of the support for ES6 features and good module support (including dynamic imports).
Have ported some simple class libraries to be imported as shared object modules. But getting stumped with more advanced inter-operation issues. quickjs.h contains approximately 400 entries, but there are less than 2 pages of documentation for the C-API.
Any suggestions as to where more detailed documentation could be found?
Failing that pointers to any well documented project using quickJS might help. Yes, I have Googled and haven't found anything useful.
I am also in the same boat,QuickJS docs & examples are hard to find here are the best ones I found so far :
https://github.com/sntg-p/QuickJS-raylib : very nice as it wraps a good portion of the relatively large RayLib API
https://github.com/saghul/txiki.js might also have some nice things (as it wraps libuv amomngs other things
a more simple example https://github.com/calbertts/async-quickjs
hope the above examples help !
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are there any tools for symbolic execution on binaries. i mean using which, we do not require to modify the source code - like klee_make_symbolic
or we can do such changes in IR (llvm ir etc.)
thanks in advance
Maybe miasm can fit your requirements. It is a reverse engineer framework that supports static symbolic execution. As far as I know， it is more simple than KLEE and S2E.
Canonical list is in Awesome Symbolic Execution.
Symbolically executing binary code is much much harder, so i doubt there are such tools exist.
However note that you don't necessarily need to modify your code when using KLEE because it can model POSIX environment and C library (when compiled with support for this, of course). Using these features you can automatically symbolize argv arguments and keyboard interaction.
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Is there anything in std library or boost (or good enough libraries) which let me make good plots in c++? I would need something like matplotlib of python or gnuplot.
Thank you
There are a couple of "native" C++ libraries for plotting. The two I'm familiar with are:
CERN's ROOT framework - This gives you a lot more than just plotting, and is specifically geared toward analysis of large amounts of data, but it does have a lot of fairly advanced plotting tools.
MathGL - though not as powerful or as easy to use as ROOT, it provides a simple way to plot all but the most complex of plots.
There is nothing "standard " about these libraries, but they are both fairly well supported.
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I would like to mix several sound (wave) streams into one.
Each stream might have a different format (bits/sample, channel count, etc.), so conversion is needed also.
I am looking for a library to do this, which I can link into my VS C++ project, before jumping in and implementing my own.
If you just want a library you can use the SOX library. It is pretty good and easy to use.
If you want more control over how the mixing is done, and maybe have more than 2 files to mix, you should take a look at the STK library
It is very simple yet quite powerful. The following is an example of how you can use a single line of code to mix two waves (simple superpositioning of the signals)
output.tick( input1.tick()*0.5+ input2.tick()*0.5 );
Hope this helps.
FMOD is quite good.
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Can anyone point out a good C++ library that can do 2D numerical integration. It needs to be able to accept a 2D array of known values, and the spacing between the points can be assumed to be constant (for a start).
It is preferable that it have a license which allows modifying the code as needed.
It's actually a C library, but if the GPL licensing terms work for you try:
http://www.gnu.org/software/gsl/
You will want to check out the Monte Carlo integration options outlined here:
http://www.gnu.org/software/gsl/manual/html_node/Monte-Carlo-Integration.html
This Fortran library is easy to link to from C++ and is in public domain:
http://gams.nist.gov/cgi-bin/serve.cgi/Module/CMLIB/ADAPT/2967
It's single precision but it's quite easy to modify the sources (get "full sources" and go through every function) to switch to double precision.
http://itpp.sourceforge.net/current/
Try this. It can do what you ask for and more! And you can modify the code as much as you like.
I've read somewhere that you can extract libraries out of GNU Octave's code and use the C++ code in your own applications. I'm not sure if that's an easy task, but you can give it a try if you have the time.