I've tried a few times but most guides out there only tell you how to install it AFTER you've built OpenCV. I've had 2 unsuccessful attempts doing it this way and it's been a lot of work to do it this way, so
I'd appreciate (and other people reading later might appreciate) basic instructions on how to install it (assuming dependencies are already there).
Is it best to use git or build it yourself?
What instructions must cmake be run with?
Is it better to just build an old version (say 2.4.9) since version 3 is unreliable so far?
There is an answer by Berak on the opencv forums to this question, quoted below. Essentially you can pull it down from Git, add it during the cmake process and you are good to go.
Beraks answer:
in 3.0, SIFT and SURF were moved to the opencv_contrib repo
you will need to clone/fork/download that, and add that to your (main
opencv) cmake;
cmake -DOPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules
then, after building,
#include "opencv2/xfeatures2d/nonfree.hpp"
Ptr<xfeatures2d::SURF> surf = xfeatures2d::SURF::create(); // note
extra namespace surf->detect(...); surf->compute(...);
don't forget to link to opencv_xfeatures2d(.lib)
Also, in answer to Question #4. OpenCV 3.0 is fine, I wouldn't say it was unreliable.
FINALLY FOUND THE SOLUTION :
First configured "opencv-3.4" with required stuff. I found easy to use cmake-gui to configure opencv-3.4 . During configuration enabled "OPENCV_ENABLE_NONFREE" by selecting the check box and other required stuff.
Compilation went well and make install also done.
But i couldn't able to use the "nonfree" api like "xfeatures2d" which are used as part of my application.
After 6-7hrs of effort , finally found that we need to include "opencv-contrib" module during configuration of opencv.
Downloaded opencv-contrib-3.4.8 and given till "../opencv-contrib-3.4.8/modules" during opencv configuration in OPENCV_EXTRA_MODULE_PATH
Then did configure using cmake-gui , now i can see below configuration happening from "opencv_contrib" and extra modules has been picked by opencv. End of configure did make and make install.
xfeatures2d/boostdesc: Download: boostdesc_bgm.i
xfeatures2d/boostdesc: Download: boostdesc_bgm_bi.i
xfeatures2d/boostdesc: Download: boostdesc_bgm_hd.i
xfeatures2d/boostdesc: Download: boostdesc_binboost_064.i
xfeatures2d/boostdesc: Download: boostdesc_binboost_128.i
xfeatures2d/boostdesc: Download: boostdesc_binboost_256.i
xfeatures2d/boostdesc: Download: boostdesc_lbgm.i
xfeatures2d/vgg: Download: vgg_generated_48.i
xfeatures2d/vgg: Download: vgg_generated_64.i
xfeatures2d/vgg: Download: vgg_generated_80.i
xfeatures2d/vgg: Download: vgg_generated_120.i
data: Download: face_landmark_model.dat
..
How to test whether "nonfree" module included in opencv:
login to your virtual environment and type "python" , then "import cv2" (should return without error) . Then finally did "surf=cv2.xfeatures2d.SURF_create()" which also returns with no error. This included that "nonfree" modules are added in opencv.
>$ python
Python 3.5.2 (default, Nov 12 2018, 13:43:14)
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>> import cv2
>>>
>>> surf=cv2.xfeatures2d.SURF_create()
>>> exit()
Thanks,
Muthukumar
Related
I have been using a google colab template for iterative LQR that uses the Pydrake, however, it seems like the code repository is removed and I can't reinstall it on google Colab:
try:
import pydrake
import underactuated
except ImportError:
!curl -s https://raw.githubusercontent.com/RussTedrake/underactuated/master/scripts/setup/jupyter_setup.py > jupyter_setup.py
from jupyter_setup import setup_underactuated
setup_underactuated()
# Setup matplotlib backend (to notebook, if possible, or inline).
from underactuated.jupyter import setup_matplotlib_backend
plt_is_interactive = setup_matplotlib_backend()
File "/content/jupyter_setup.py", line 1
404: Not Found
^
SyntaxError: invalid syntax
I tried clicking this link https://raw.githubusercontent.com/RussTedrake/underactuated/master/scripts/setup/jupyter_setup.py, and the page is not found... everything was working fine yesterday
Sorry. You're correct... I updated it this morning, and don't have a good deprecation policy in place on that repo, and this setup script is two versions ago. The path you want is https://raw.githubusercontent.com/RussTedrake/underactuated/master/setup/jupyter_setup.py
(remove the script from the directory). But if you look at that file, you'll see that even that is pointing to an updated setup script which you might want to point to.
This is actually all good news... we are on the path to a much better solution. You can now just pip install drake on colab (see the drake installation guide). Once I land the pip install underactuated (probably in time for my Spring offering of the class), then all of that nasty setup will be gone.
I am trying to run some old matlab code with octave. Unfortunately this code contains a geotiffread function and I think I should change this function with rasterread (package mapping).
However, when I try to install the mapping package I get this warning:
octave:7> pkg install mapping-1.4.0.tar.gz
configure: WARNING: GDAL library not found. Reading of raster files will be disabled.
For information about changes from previous versions of the mapping package, run 'news mapping'.
I tried to run octave (5.2.0 version) within:
a Debian Buster distribution (snap and flatpak package)
a docker container (MacOS 10.15 host, installed from the mtmiller/octave image).
online with the octave-online service, running this code:
pkg load mapping;
[bands, info] = rasterread ('mexutm250.tiff');
With this output:
octave:3> source("my_script.m")
error: gdalread: reading of raster file with GDAL was disabled during installation
error: called from
rasterread at line 56 column 26
my_script at line 2 column 15
No attempt was successful.
EDIT 2: I know that my octave installations are without GDAL support. I would like to use octave with full mapping package, and GDAL support, without recompile it. There is a way to do it (e.g. update a library path within the docker installation to add the libgdal library)?
If there is no way to add GDAL support without recompile octave, there is a guide to do it with minimal effort?
EDIT 3: I already installed the gdal dependencies:
$ sudo aptitude search gdal |grep ^i
[sudo] password for virtuser:
i gdal-bin - Geospatial Data Abstraction Library - programmi di utilitÃ
i A gdal-data - libreria Geospatial Data Abstraction Library - file di dati
i libgdal-dev - libreria Geospatial Data Abstraction Library - file di sviluppo
i libgdal20 - libreria Geospatial Data Abstraction Library
Thank you.
I got octave with GDAL integration when I installed the octave package from the debian repository. I needed octave 5.2, so I switched to Ubuntu 20.04.
as suggested in one of the comments, checking
>> news mapping
(also at https://octave.sourceforge.io/mapping/NEWS.html)
looking at mapping 1.2.1 where rasterread was introduced, it states:
** New features
Reading GIS raster data: A first go is provided using
functions rasterread.m and rasterinfo.m. Both invoke binary
function gdalread() of which an initial version was provided
by Shashank Khare. rasterread.m and rasterinfo.m can read
and return info on any raster data type that the underlying
GDAL library can read. As such, separate functions for e.g.,
GeoTIFF and ArcGrid etc. are not required.
To make use of these functions the GDAL library must be
present on your system => GDAL is a suggested dependency.
You should be able to install the GDAL library in Debian using your preferred installation method.
Unsure whether or not you'll need to uninstall/reinstall the mapping package afterward, but if an unload/reload doesn't get rid of the message, try that and see if mapping is able to see the library.
I have a Rails project that is going to be using OpenCV, and it depends on a certain version of it (2.4.6.1).
I'm looking for deployment advice. The Ubuntu opencv package is an earlier version and therefore not suitable.
I can see a number of possibilities, but I'm trying to think of what will work best.
Just write it up in a README and expect people to follow it: download this, apt-get that, etc...
Add opencv, tagged at the version we need, as a git subtree, and include a Rake task to build it.
Write a script to download and compile the needed code.
Something else ?
None of them seem all that great, to tell the truth.
Can your application be made to work with OpenCV 2.4.2? That is available in Ubuntu 13.04, and you could request it be backported to 12.04. If not, you could update the source package to 2.4.6.1 (which would require learning about debian packaging but might not be too difficult since you would be modifying an existing package instead of starting from scratch), upload it to a PPA, and instruct your users on Ubuntu to install OpenCV from there. You could also package your rails application and put it in the PPA, which would make overall installation even easier.
In attempting to install the latest ImageMagick (and devel) RPM from http://www.imagemagick.org/download/linux/CentOS/x86_64/ I receive this message
ImageMagick-libs = 6.8.5-8 is needed by ImageMagick-devel-6.8.5-8.x86_64
Confusingly, there is no ImageMagick-libs RPM listed, and searching has yet to yield a solution. Is there a way around this existential dependency?
Neither I nor Google know where ImageMagick-libs lives nor what it contains, but for posterity this gets things up and running on CentOS 5.8 (the distribution listed on imagemagick.org):
>: rpm -Uvh --nodeps ImageMagick-6.8.5-8.x86_64.rpm ImageMagick-devel-6.8.5-8.x86_64.rpm
>: ln -s /usr/include/ImageMagick-6 /usr/include/ImageMagick
The symbolic link was necessary for software relying on ImageMagick header files.
If someone were to stumble upon this, the ImageMagick-libs RPM are now downloadable from the link in the question.
I ran into the same thing when building the RPMs myself.
line 66 of the SRPM's included ImageMagick spec file includes:
Requires: %{name}-libs = %{version}-%{release}
I just commented out that line and the build completes; the resultant RPM satisfies the requirement cleaner. In sum, I believe it a bug in the SPEC file bundled in the SRPM. It isn't necessary for functionality even when building against php magickwand and similar finicky tools that require headers from ImageMagick.
I am new to Digital Image Processing and want to do it using OpenCV on Eclipse. I just want to know how can i start doing it and how i can configure opencv and eclipse using CMAKE . Please suggest me some good tutorial.Also please help me with adding opencv include files and library in Eclipse.
I am using Eclipse Juno.
on Windows 7.
Thanks.
Your best bet is to begin with the OpenCV documentation. Their Getting Started tutorial should be your first stop. They have another strategy with a custom FindOpenCV.cmake file as documented here but I would suggest sticking with the strategy outlined in Getting Started.
In terms of eclipse, cmake generates IDE related metadata for you and Kitware does provide an eclipse CDT generator, documented here. Two important things to keep in mind. First cmake actually generates the eclipse metadata which you then import as an existing project. Second, the example they give is intended to work with Unix makefiles:
cmake -G"Eclipse CDT4 - Unix Makefiles" -D CMAKE_BUILD_TYPE=Debug ../certi_src
If you are using windows you'll want to choose an appropriate generator instead of "Unix Makefiles"