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I recall learning about the corner-stitched data structure a number of years ago and have been fascinated with it ever since. It originated with a paper by Ousterhout.
I've searched and not been able to find a free/open implementations. I'd prefer a C++ implementation, but at this point would accept any pointers people might have.
Note: a corner-stitched data structure is a way to store 2 dimensional, rectangluar data, explicitly maintaining the whitespace between inserted elements. This is as opposed to a quad-tree which just stores the inserted data elements. There are many trade-offs, I'm mostly interested in an implementation - but would also accept alternatives that have similar properties.
Ousterhout's own software package Magic implements corner stitching. The C source code is available BSD-licensed at http://opencircuitdesign.com/magic.
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For a more complex project, I need to compute the approximate, relative distances of objects from two images (from stereo-cameras). Practically what this neat tutorial explains: https://chrisjmccormick.wordpress.com/2014/01/10/stereo-vision-tutorial-part-i/ and with a result like that
Think I shouldn't be reinventing the wheel for this project and since speed is very important (realtime from two videostreams) I'm looking for a native library (preferably in C++ where the whole project is written in) for this task.
Does anyone have a suggestion?
Open source would be greatest but not mandatory.
Huge thanks in advance!
try with LIBELAS library (Library for Efficient Large-scale Stereo Matching).
Best!
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I am looking for a program that would read C++ source code, remove all unnecessary whitespace and replace all names so that the source code as measured by the number of bytes is as short as possible. I do not care about the obfuscation, size is all that matters.
I am solving this competition programming problem and the source code size is set at 2000 bytes.
For automatic condensing, check out creduce for C and C++ here
I'm not sure how smart it is but having a good design in your code, managing class explosion, etc. helps far more since I doubt any automatic whitespace trimmer would be as effective as rethinking and refactoring out poorly written code.
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How might one implement data frame in R, Python, and other languages using C++?
In general, data.frame solves a problem which is solved fundamentally differently in C++ (and other languages) – namely via class hierarchies, or, in the simplest case, via a vector of tuples.
Since you haven’t given specifics it’s hard to know what exactly you are after but if it’s ease of computation, Armadillo is a good linear algebra library for C++ (one among many). I haven’t yet found a good statistics framework for C++ – I suggest simply sticking with R for that.
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I am trying to implement a graphing calculator on the iPhone. I am looking for a library that can take strings of expressions or functions and let me manipulate them (find derivatives, intercepts, zeros, etc). Does anything like this exist?
There's GiNaC for C++. GPL-licensed and actively maintained, last update only a month ago. I found old links to many others that don't seem to exist anymore; perhaps people simply found it easier to use GiNaC?
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I noticed most resources either assume you know a lot already or assume you know math of professional level or assume you're going to find other resources to fill gaps.
Is there a resource that takes someone without already a knowledge on view matrices in graphics and takes them to understanding fully how
to set up a 'virtual camera'
move objects
move the observer
etc.
If it's on OpenGL, it'd be ideal.
Notice I'm not interested in automatic ways in OpenGL since
They are deprecated and removed in latest versions of the spec, one has to set them manually
That is not understanding.
Take a look at Chapter 3 of the red book: http://fly.cc.fer.hr/~unreal/theredbook/