I am trying to implement a TypeProvider. I could not find proper samples and explanation on how to do to implement "GeneratedAssemblyContents".
I have taken a look with FSharp Samples. The examples are quite complicated.
Is there any simple way to implement this? I am using mono as VM.
Related
I'm intending to develop a new OF for RPL in cooja simulator, the thing is that I don't find any tutorial or example on how to do so!
Also, There are hundreds of published papers on this work, yet no guidance on how to conduct your own experiements!
Any help or tutorial i can follow.
Furthermore, i need to know what are possible tools needed to do so, like matlab, python or C++ libraries?
too much confused and cannot figure out where to start actually.
Please Help
Please Help I have been searching and reading alot, nothing found but journal papers discusses things theoritically.
Could someone please point me to some tutorial or provide an example code snippet about how to create a diagram/flowchart in Dart? The simple scenario would be to have couple of elements connectable to each other and possibility to read which one is connected where. There are tons of JS examples but for learning purposes I would like to go the Dart way :)
I've been using a wrapper around an JS GraphViz library for a number of projects.
See https://pub.dartlang.org/packages/pubviz - Here's the output: http://kevmoo.github.io/pubviz/
Also https://pub.dartlang.org/packages/gviz
It's not super interactive or anything, but it's useful when you just want to visualize a graph structure.
I am familiar with Matlab and would like to use what I know to add the functionality I am looking for in my iOS application. The title really says it all, I would like my app to be able to use the mathematics capabilities that matlab provides like integrals, derivatives, cross products, etc. not any graphing or any of that but just basic equation solving things. Is there a way to add this functionality to it while keeping my application agile. I have heard of the matlab coder that allow code to be switched from matlab to c or c++ that could be used for an Xcode project. If this is the best solution, is that a very difficult coder to work with? This is my first application, I have literally been working with Xcode and objective-c for a few weeks but I have the basic framework of my application good to go. I need this to add the real functionality to it and make it very useable. Please go easy on me if any of my questions seem obvious, I'm a nube, I really appreciate your answers.
Josh
As you mentioned, MATLAB Coder can generate C code from your MATLAB function. The header (.h) and source (.c) files can be plugged into your XCode project. The key part of the work is to decide what the input and output of the function should be and how to interface the rest of the XCode project with the Coder-generated function. Also, existing MATLAB code may not be completely compatible with the Coder, so that some modifications to your MATLAB code may be necessary. The Coder has interactive processes that guide you through this process.
If you haven't done so yet, you should start by looking at some examples of MATLAB Coder provided by MathWorks, e.g.,
http://www.mathworks.com/help/coder/examples/c-code-generation-for-a-matlab-kalman-filtering-algorithm.html?prodcode=ME&language=en
Is there any specific function that can be used in opencv for skeletonization? Besides, i searched for some time and want to know if opencv implements voronoi-skeleton (seems like there is but is it really are)?
It looks like Voronoi-Skeleton is implemented in the _cvConstructSkeleton() and _cvLee() functions in opencv/src/cvaux/cvlee.cpp.
I haven't seen any official documentation about how to use this functionality in OpenCV. Since cvlee.cpp is in the cvaux folder, I think these may be experimental OpenCV functions.
I want to do a project involving Computer Vision. Mostly object detection/identification. After some research, I keep coming back to OpenCV. But all of the tutorials are from 2008 (I guess it was big for a bit then). It doesn't compile in Python on the mac apparently. I'm using the C++ framework right out of Xcode, but none of the tutorials work as they're outdated and the documentation sucks from what I can parse.
Is there a better solution for what I'm doing, and does anyone have any suggestions as to learning how to to use OpenCV?
Thanks
I have had similar problems getting started with OpenCV and from my experience this is actually the biggest hurdle to learning it. Here is what worked for me:
This book: "OpenCV 2 Computer Vision Application Programming Cookbook." It's the most up-to-date book and has examples on how to solve different Computer Vision problems (You can see the table of contents on Amazon with "Look Inside!"). It really helped ease me into OpenCV and get comfortable with how the library works.
Like have others have said, the samples are very helpful. For things that the book skips or covers only briefly you can usually find more detailed examples when looking through the samples. You can also find different ways of solving the same problem between the book and the samples. For example, for finding keypoints/features, the book shows an example using FAST features:
vector<KeyPoint> keypoints;
FastFeatureDetector fast(40);
fast.detect(image, keypoints);
But in the samples you will find a much more flexible way (if you want to have the option of choosing which keypoint detection algorithm to use):
vector<KeyPoint> keypoints;
Ptr<FeatureDetector> featureDetector = FeatureDetector::create("FAST");
featureDetector->detect(image, keypoints);
From my experience things eventually start to click and for more specific questions you start finding up-to-date information on blogs or right here on StackOverflow.
Let me add a couple of things. First, I can assure you that the Python bindings to OpenCV work on a Mac. I use them every day.
Many people like OpenCV for many reasons:
The license is good, friendly to integration into commercial products, etc.
It is quite good from a technical stand point. It gives you a reference implementation of state of the art algorithms.
It tends to be quite fast compared to the alternatives (Matlab I'm looking at you).
Like everything in life, it is not perfect:
It is a good example of a software library that is a moving target.
I have a 300 line python program that uses OpenCV and every few
months when a new version of OpenCV is released I have to change it
to adapt to the new function names/calling conventions, etc. The
library does advance, a lot, however it is a pain to have to change
the same program 3 times per year.
It has a learning curve, like computer vision itself, it is quite
technical and not easy to learn.
There are alternatives (with other pros and cons) MATLAB with the Image Processing Toolbox is one such example.
The simplest answer that comes to mind, is to read the example code with a bit of understanding, and to try out if Your ideas work. The api does change, and most of the tutorials are writen for the first versions of OpenCV, and it looks that nobody bothered to rewrite them. Nevertheless the core ideas behind it are not changing. So if You find a tutorial answering Your questions, but written in old API just look in the documentation for modern replacements of used functions. It’s not easy and quick, but looks like it works. If You use the newest (actually 2.3) version, I suggest using both the 2.1 documntation and 2.3 docs + tutorials . You should also look into the samples, which should have been installed alongside the library. There are lots of hints about how to use certain structures and tricks that weren't mentioned in documentation. Finally, don't be afraid to look inside the code of the library itself (if You compiled it on Your own). Unfortunately, thats the only source I know to check for example what code corresponds to which type of Mat object.