I've been trying to find the right package to install so that I can use
#include <lapacke.h>
but I've not been able to find a home-brew command that once downloaded contains this library. Is it possible to download this using home-brew, if not what our my alternatives?
Accelerate ships with OS X and provides LAPACK: https://developer.apple.com/library/prerelease/mac/documentation/Darwin/Reference/ManPages/man7/LAPACK.7.html
Alternatively, the homebrew/science/openblas package provides a LAPACK implementation.
Related
Successfully installed opencv 4.5.4 in windows under mingw evironment. I was able to compile opencv applications. But is there any easy way to give reference to libraries instead of typing long list of opencv libraries (i.e. something like pkg-config in windows)
For a simple opencv program I need to give reference to 4 libraries.
g++ rotate.cpp -lopencv_core454 -lopencv_highgui454 -lopencv_imgproc454 -lopencv_imgcodecs454
instead do we have some option to give list of libraries through some flags in windows environment.
Thanks
You can actually use pkg-config in Windows. If you use MSYS2 shell is is usually available or it can be installed via pacman.
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?
I have two versions of libjpeg library. One is the system library /usr/lib/x86_64-linux-gnu/libjpeg.so, and the another is the newer one that I have built manually /vol/me/lib/libjpeg.so. I want to install opencv that uses the new library instead of the system one. How can I use cmake/cmake-gui to do that?
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.
sir,
I have tried my level best to install open cv library 2.2.0 version.but it has'nt suceeded
it shows that errors in linking the library hughigh,
whether we wanted to insatll the ipp library prior to install the opencv?
please help me ?..............
I can only recommend the install advice on the OpenCV page. If you are using a unix download the source of the library you want to install and then use cmake to install the library. That usually works fine for me.
Try installing the 1.1 version of OpenCV.
The 2.x version is brand new and as of Nov 1 2009 you will have difficulty finding documentation for that. The 1.1 version of OpenCV, on the other hand, is very well documented and you should have no trouble finding online tutorials for your platform that walk you through the installation process step-by-step.
As an aside: "IPP" refers to Intel's Performance Primitives. In the 1.1 version these are entirely optional. OpenCV does not require them. If you have the Performance Primitives installed, however, your OpenCV code may run faster. (For me it cut down my image processing time by a factor of five.) Once you get everything up and running you can purchase the IPP library from intel here: http://software.intel.com/en-us/intel-ipp/