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I would like to implement object detection using Caffe framework and Convolution Neural Network, could you recommend some papers and demos about that?
I just need to know how to implement it.
If you can provide the source code, it will be perfect.
A very good starting point to object detection using Deep Learning is the series of papers on R-CNN by Ross Girshick.
You can find python impelementation of faster R-CNN a good reference for implementation.
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I have been working on IMU sensors to get orientation and I am looking for an open source EKF filter! Or please share ur expertise if anyone has experience!
I took on the same task this summer with a flight-path interpreter. Check out my implementation of the linear filter here.
It looks like researchers believe the EKF yields less reliable estimates without some complicated mitagtion techniques. For measurement that are changing very rapidly (unlike GPS navigation where EKF is indeed a de facto standard), consider avoiding the EKF. According to that paper, the ongoing-estimate can diverge pretty quickly.
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is it possible to draw a adjacency graph like the one shown below in c++
and show it graphically.
is this even possible with C++
if yes can some one please point me to the correct library or tutorial.
or an example or would be really helpful.
i would be using visual studio 2015 for this task.
There are plenty of plotting libraries google search will offer you, but they do require downloading source and building them which is sometimes not trivial especially for a beginner.
I suggest looking at graphviz which as you can see has similar graphics to your example. Good walk through on how to build it could be found here with specifics related to VS here.
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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’m looking for an OpenCv implementation of Generalized Hough Transform, or at least something in c++.
Despite I searched for a while, I’ve not been able to find nothing interesting.
Any suggestion?
I hope this Generalized Hough Transform code is what you are looking for.
There is a very simple tutorial as well and some instructions.
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I have been looking for a C++ Library that implements Reinforcement Learning Algorithms but was not very satisfied with the results.
I found the Reinforcement Learning Toolbox 2.0 from the TU Graz but unfortunately this project is very old and I was unable to get it to compile.
There is also code from Hado van Hasselt. It looks promising but does not seem to be actively maintained.
Which libraries do you use for Reinforcement Learning in C++?
RL-Glue is somewhat of a standard int the reinforcement learning community. RL-Library is the part that implements standard algorithms. That said, the most common reinforcement algorithms are so simple that they don't call for any kind of library.