The current google native client port of OpenCV does not utilise TBB. It says here TBB can be built under NaCl.
Is there an official port, or has anyone successfully built TBB under NaCl?
Thanks :)
For now there is no official port of Intel TBB for NaCl, and the project team at Intel (which I work in) is unaware of any unofficial one either.
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I developed an image processing library with OpenCV and it works well in Windows, Android(Native) and iOS.
Now I want to build my library to run on AIX server. Unfortunately I couldn't find any guidance for building OpenCV for AIX.
Can you give me any guidance?
There is no official support for OpenCV on AIX. No community driven project either.
However there is another project maintained by IBM called IBM AIX Toolbox for Linux Applications.
This project is intended for developers and provides most Linux based, especially GNU based programming languages, tools & libraries to be run on AIX.
You'll have to go through setting up the environment / dependencies, though it must compile just fine. Linux tutorials for building OpenCV using GCC should work just fine.
You might ask the person at Perzl if he could build it. He must have a lot of knowledge, tools, and environment already. I also find it much better than the IBM AIX Toolbox so if you want to try to do it yourself, I would start with his versions instead of IBM's.
Group Bull use to have a similar set of built open source packages but I don't know where they disappeared to.
I recently use the pre-built OpenCV 3.1.0 on Windows which was downloaded from here. Actually, I followed the official installation.
The thing is that I find that the VideoCapture module of pre-built OpenCV processes video very slowly. It seems that it has no support of ffmpeg. And I find the official note:
To use the OpenCV library you have two options: Installation by Using the Pre-built Libraries or Installation by Making Your Own Libraries from the Source Files . While the first one is easier to complete, it only works if you are coding with the latest Microsoft Visual Studio IDE and doesn't take advantage of the most advanced technologies we integrate into our library.
It makes me curious about what is the actual build configuration of pre-built OpenCV 3.1.0 (or other versions) on Windows. No supports of TBB, IPP, Eigen, CUDA, etc...? I didn't find any clue on the internet. Anyone knows?
Is the Vala/Genie compiler available on the Windows and Mac OS X platforms? I know that it is possible to use GLib and GTK on Windows and Mac OS X, but there are no official downloads of Vala for either platform.
Vala 0.28 is currently available on Mac OS X in just the same way as the rest of the GLib/GTK platform is. Here are the official instructions for setting up a GLib/GTK development environment on Mac OS X. To build the Vala/Genie compiler, run jhbuild build vala after completing those instructions.
I don't know the answer for Windows.
There are no "official" builds of Vala as such. Vala is officially released as source code only. The source is then built by various distributors who package and distribute the builds.
On Linux this is done by distributions like Fedora and Ubuntu. On Mac OS X probably the most relevant is Brew and on Windows MSYS2. For more details on all of these ways see the Installing Vala section of the Vala wiki.
There are several ways of getting Vala compiler to work on Windows. The easiest solution would be installing MSYS2 which always provides fresh version of vala as one of it's packages.
Is there a standard way to run a Dart VM on a Raspberry Pi?
I haven't found any information about that in mailing lists.
Yes, DartVM is on R-Pi.
It can be downloaded from this link ( labelled as Linux ARMv7 ):
https://www.dartlang.org/install/archive
Dart ARMv7 builds are now available via the dart manual download page on the dart website https://www.dartlang.org/downloads/archive/
Old Raspberry Pi is an ARMv6 and so only the new Raspberry Pi 2, ARMv7 is supported by these dartlang SDK build.
Currently the arm port of the Dart VM is still being developed (though answers from Devoxx imply it is getting close). However nothing prevents you from running a web server on PI and serving up client side dart code and JavaScript compiled dart code for client side apps.
Standard... not yet as far as I know. So I went ahead and built it:
https://plus.google.com/115544353187538281728/posts/bDGc2BzHwZ5
Raspberry Pi builds are now built and published for each version of Dart.
They are not currently listed on the website but you can download them from here:
http://gsdview.appspot.com/dart-archive/channels/stable/release/1.12.2/sdk/
The Accelerate framework is a Mac-specific framework that provides things like image convolutions and LAPACK, supposedly optimized to be as fast as possible on Macs. My question: Does OpenCV take advantage of this? Specifically, does the function "filter2D" use Accelerate?
It does not use the Accelerate framework, but it looks like it has been speeded up using the CUDA stuff in 2.2
The relevant files in OpenCV2.2 ...
/modules/gpu/include/opencv2/gpu/gpu.hpp
/modules/gpu/src/filtering.cpp
and
modules/imgproc/src/filter.cpp
for the non-gpu stuff
Not a mac expert but AFAIK openCV uses IPP (if installed) TBB (build option) and NVidia-CUDA (build option)
If you use the MacPorts version, you can specify the options
$ port variants opencv
opencv has the variants:
debug: Enable debug binaries
python26: Add Python 2.6 bindings
* conflicts with python27
python27: Add Python 2.7 bindings
* conflicts with python26
tbb: Use Intel TBB
universal: Build for multiple architectures
I have used
sudo port install py26-numpy
sudo port install opencv +python26 +tbb
with success. Concerning the Accelerate.framework specifically, this blog entry says "# Add Accelerate.framework which is used internally from OpenCV library.", but I have no clue as to know if it is the case here.