Host: UBUNTU (Linux 4.15.0-47-generic x86_64)
Target: i.MX 8QuadXPlus (Linux imx8qxpmek 4.9.88-imx_4.9.88_imx8qxp_beta2+g05f46d3)
I`m already make WITH_GTK and WITH_GTK_2_X enable.
But after Configure,
GTK+ still NO.
How can I enable GTK+ for OpenCV in cmake?
sudo apt-get install libgtk2.0-dev libgtk-3-dev
If after that you still can't enable the options, try with:
sudo apt-get install gnome-devel
you need to make sure Qt is disabled before GTK3 support is possible
( -D WITH_QT=OFF )
#lb90 and #incubo4u correct
Writing it to new ones who come across this issue
Install gtk3 in case not installed source
sudo apt install libgtk-3-dev
It is always QT OR GTK, if you enable one the other is automatically disabled
This should give you an idea which one you would like to build opencv with GTK or QT when build OpenCV
This is the official page for the same GUI backends (highgui module)
-D WITH_QT=OFF \
-D WITH_GTK=ON \
OR
-D WITH_QT=ON \
-D WITH_GTK=OFF \
If you turn ON GTK OpenGL support is turned OFF by default
Related
I am trying to install erlang 25 (and elixir 1.13) on my ubuntu VM, but the default version installed by apt is erlang 24.
I've tried both :
sudo wget https://packages.erlang-solutions.com/erlang-solutions_1.0_all.deb && sudo dpkg -i erlang-solutions_1.0_all.d
sudo apt update
and
sudo wget https://packages.erlang-solutions.com/erlang-solutions_2.0_all.deb && sudo dpkg -i erlang-solutions_2.0_all.d
sudo apt update
but in both case, running apt-cache policy esl-erlang didn't show the desired version. I have recently installed erlang 25 on a identical vm, and I don't remember struggling at all, so I'm guessing there's a simple way of doing it that I just forgot ?
I hope you can help me, thank you !
From the Erlang OTP repo, you should do:
apt-get install erlang
If you decide to compile from source:
git clone https://github.com/erlang/otp.git
cd otp
git checkout maint-25 # current latest stable version
./configure
make
make install
Alternatively, you can use Kerl:
curl -O https://raw.githubusercontent.com/kerl/kerl/master/kerl
chmod a+x kerl
and place kerl in your PATH so that you can invoke it from the terminal (remember to source your .bashrc or similar if you update your PATH variable there, or open a new terminal to reload the PATH env), i.e.,
export PATH=<path-to-kerl>:$PATH
Instructions on how to use it here.
I would recommend the usage of the Erlang Version Manager, thanks to which you can compile and install any Erlang OTP version you need, regardless of what the default version is currently available for your Linux distro.
Installation of Erlang Version Manager:
$ git clone https://github.com/robisonsantos/evm /tmp/evm/
$ cd /tmp/evm/
$ /tmp/evm/install
$ echo 'source ~/.evm/scripts/evm' >> ~/.bashrc
$ bash
Installation of the specific Erlang OTP version:
$ evm install 25.1.1 -y
$ evm default 25.1.1
I have set up a docker image and install ubuntu on it. Can you please tell me how can I install Openmodelica inside ubuntu to that docker image?
for example, if I want to install node.js on this docker image I could use this code:
apt install nodejs
so I need some codes like that to install open Modelica on my docker image.
p.s: my docker image is an ubuntu image.
I happened to create a Docker image for OpenModelica to debug something, so I might add it here as well. We got this questions in the OpenModelica forum as well.
While the answer of #sjoelund.se will stay up to date this one is a bit more explaining.
Dockerfile
FROM ubuntu:18.04
# Export DISPLAY, so a XServer can display OMEdit
ARG DEBIAN_FRONTEND=noninteractive
ENV DISPLAY=host.docker.internal:0.0
# Install wget, gnupg, lsb-release
RUN apt-get update \
&& apt install -y wget gnupg lsb-release
# Get the OpenModelica stable version
RUN for deb in deb deb-src; do echo "$deb http://build.openmodelica.org/apt `lsb_release -cs` stable"; done | tee /etc/apt/sources.list.d/openmodelica.list
RUN wget -q http://build.openmodelica.org/apt/openmodelica.asc -O- | apt-key add -
# Install OpenModelica
RUN apt-get update \
&& apt install -y openmodelica
# Install OpenModelica libraries (like all of them)
RUN for PKG in `apt-cache search "omlib-.*" | cut -d" " -f1`; do apt-get install -y "$PKG"; done
# Add non-root user for security
RUN useradd -m -s /bin/bash openmodelicausers
USER openmodelicausers
ENV HOME /home/openmodelicausers
ENV USER openmodelicausers
WORKDIR $HOME
# Return omc version
CMD ["omc", "--version"]
Let's build and tag it:
docker build --tag openmodelica:ubuntubionic .
How to use omc from the docker image
Let's create a small helloWorld.mo Modelica model:
model helloWorld
Real x(start=1.0, fixed=true);
equations
der(x) = 2.5*x;
end helloWorld;
and a MOS script which will simulate it, called runHelloWorld.mos
loadFile("helloWorld.mo"); getErrorString();
simulate(helloWorld); getErrorString();
Now we can make our files accessible to the docker container with the -v flag and run our small example with:
docker run \
--rm \
-v $(pwd):/home/openmodelicausers \
openmodelica:ubuntubionic \
omc runHelloWorld.mos
Note that -v needs an absolute path. I added --rm to clean up.
Using OMEdit with a GUI
I'm using Windows + Docker with WSL2. So in order to get OMEdit running I need to have a XServer installed on my Windows host system. They are not trivial to set up, but I'm using VcXsrv and so far it is working for me. On Linux this is of course much simpler.
I'm using this config to start XLaunch:
<?xml version="1.0" encoding="UTF-8"?>
<XLaunch WindowMode="MultiWindow" ClientMode="NoClient" LocalClient="False" Display="-1" LocalProgram="xcalc" RemoteProgram="xterm" RemotePassword="" PrivateKey="" RemoteHost="" RemoteUser="" XDMCPHost="" XDMCPBroadcast="False" XDMCPIndirect="False" Clipboard="True" ClipboardPrimary="True" ExtraParams="" Wgl="True" DisableAC="True" XDMCPTerminate="False"/>
But when the XServer is running you can use OMEdit in nearly the same fashion you would from a Linux OS, just mount some directory with your files and that's it:
docker run \
--rm \
-v $(pwd):/home/openmodelicausers \
openmodelica:ubuntubionic \
OMEdit
You could get some inspiration from the Dockerfiles that are used to generate the OpenModelica docker images. For example: https://github.com/OpenModelica/OpenModelicaDockerImages/tree/v1.16.2
In my dockerfile, I need a maven builder (3.6 at least) working on a OpenJDK (J14 is required).
FROM maven:3.6.3-openjdk-14 as builder
The problem is simple: I need netstat command because it is used in several scripts. The OpenJDK official image is RHEL based, so it comes without any of this package installed.
I tried to download it or yum via wget command but, as you can guess, it is not installed. I feel trapped because it seems like you cannot you can't install any package on it.
That image is actually based on Oracle
$ podman run -it maven:3.6.3-openjdk-14 /bin/bash -c 'cat /etc/os-release'
NAME="Oracle Linux Server"
VERSION="8.2"
ID="ol"
ID_LIKE="fedora"
VARIANT="Server"
VARIANT_ID="server"
VERSION_ID="8.2"
PLATFORM_ID="platform:el8"
PRETTY_NAME="Oracle Linux Server 8.2"
ANSI_COLOR="0;31"
CPE_NAME="cpe:/o:oracle:linux:8:2:server"
HOME_URL="https://linux.oracle.com/"
BUG_REPORT_URL="https://bugzilla.oracle.com/"
ORACLE_BUGZILLA_PRODUCT="Oracle Linux 8"
ORACLE_BUGZILLA_PRODUCT_VERSION=8.2
ORACLE_SUPPORT_PRODUCT="Oracle Linux"
ORACLE_SUPPORT_PRODUCT_VERSION=8.2
And this is actually a "slim" variant where dnf or yum aren't installed, but microdnf is. Try using that, instead:
RUN microdnf install /usr/bin/netstat
Or
RUN microdnf install net-tools
I'm trying to build a docker image that uses nvidia hardware decoding in gstreamer and have encountered a strange problem with making the image.
The build process does not find the nvidia cuda related stuff while running docker build (or nvidia-docker build), but when I spin up the failed image as a container and do those very same steps from within the container everything works. I even saved the container as image which gave me a persistent image that works as intended.
Has anyone experienced similar problem and can shed some light on it?
Dockerfile:
FROM nvcr.io/nvidia/deepstream:3.0-18.11 AS base
ENV DEBIAN_FRONTEND noninteractive
#install some dependencies. NOTE - not removing apt cache for the MWE
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
libdc1394-22 \
tmux \
vim \
libjpeg-dev \
libpng-dev \
libpng12-dev \
cuda-toolkit-10-0 \
python3-setuptools \
python3-pip ninja-build pkg-config gobject-introspection gnome-devel bison flex libgirepository1.0-dev liborc-0.4-dev
RUN pip3 install meson && ldconfig
FROM base
#pull and make gstreamer:
RUN cd /tmp && mkdir gstreamer
RUN git clone https://github.com/GStreamer/gst-build.git /tmp/gstreamer \
&& cd /tmp/gstreamer \
&& git checkout tags/1.16.0 \
&& ./setup.py -Dgtk_doc=disabled -Dgst-plugins-bad:nvdec=enabled -Dgst-plugins-bad:nvenc=enabled -Dgst-plugins-bad:iqa=disabled -Dgst-plugins-bad:bluez=disabled --reconfigure \
&& ninja -C build \
&& ninja install -C build
Testing:
build and run the container. Inside the container:
$ gst-inspect-1.0 nvdec
No such element or plugin 'nvdec'
$ cd /tmp/gstreamer
$ ./setup.py -Dgtk_doc=disabled -Dgst-plugins-bad:nvdec=enabled -Dgst-plugins-bad:nvenc=enabled -Dgst-plugins-bad:iqa=disabled -Dgst-plugins-bad:bluez=disabled --reconfigure
$ ninja -C build
$ ninja install -C build
$ gst-inspect-1.0 nvdec
Factory Details:
Rank primary (256)
[... all plugin parameters show up]
GObject
+----GInitiallyUnowned
+----GstObject
+----GstElement
+----GstVideoDecoder
+----GstNvDec
EDIT1
The image builds with no errors, only when I try to call gstreamer it is built with no acceleration. I noticed that in the build process the major difference is
meson.build:109:2: Exception: Problem encountered: The nvdec plugin was enabled explicitly, but required CUDA dependencies were not found.
which does not happen when building from within the container.
Lack of error is related, most likely, to the ninja+meson build system which looks for compatible packages, reports the exception, but doesn't throw it and continues as if nothing wrong happened
EDIT2
Answering comment:
To build it and get the error, just build the attached docker image:
sudo docker build -t gst16:latest . > build.log
This will dump all the output into the build.log file.
I don't have a docker registry that I could use for this and the docker image gets quite big by docker standards (~8 Gigs), but to produce successfully, it's fairly simple:
sudo docker run --runtime="nvidia" -ti gst16:latest /bin/bash
or
sudo nvidia-docker run -ti gst16:latest /bin/bash
which seems to work the same for me. Notice no --rm flag! From within the container:
#check if nvidia decoder plugin is there:
gst-inspect-1.0 nvdec
#fail!
#now build it from within:
cd /opt/gstreamer
./setup.py -Dgtk_doc=disabled -Dgst-plugins-bad:nvdec=enabled -Dgst-plugins-bad:nvenc=enabled -Dgst-plugins-bad:iqa=disabled -Dgst-plugins-bad:bluez=disabled --reconfigure
ninja -C build
ninja install -C build
gst-inspect-1.0 nvdec
#success reported
Now to get the image, exit the container (ctrl+d) and in the host shell:
sudo docker container ls -a to view all containers including stopped ones
from gst16:latest get the CONTAINER_ID and copy it
sudo docker commit <CONTAINER_ID> gst16:manual and after a few seconds you should have the container saved as an image. Verify with sudo docker images
run the new image with sudo docker run --runtime=`nvidia` --rm -ti gst16:manual /bin/bash
from within the container try again the gst-inspect-1.0 nvdec to verify it's working
EDIT3
$ nvidia-docker --version
Docker version 18.09.0, build 4d60db4
I think I found the solution/reason
Writing it here in case someone finds themselves in similar situation, plus I hate finding old threads with similar problem and no answer or "nevermind, I solved it" as the only follow up
Docker build does not have any ties to nvidia runtime and gstreamer requires access to the full nvidia toolchain in order to build the plugins that need it. This is to be resolved with gstreamer 1.18 but until then, there is no way to build gstreamer with nvidia codecs in docker build.
The workaround:
Build image with all dependencies.
Run a container of said image using runtime="nvidia" but don't use --rm flag
In the container, build gstreamer and install it as normally.
Verify with gst-inspect-1.0
Commit the container as new image: docker commit <container_name> <temporary_image_name>
Tag the temporary image properly.
I have a problem to use the docker rstudio-image rocker/rstudio proposed
on https://www.rocker-project.org/ (docker containers for R). Since I am a beginner with both docker and RStudio, I suspect the problem comes from me and does not deserve a bug report:
I open a proper terminal with 'Docker Quickstart Terminal'
where I run the image with docker run -d -p 8787:8787 -e DISABLE_AUTH=true -v <...>:/home/rstudio/<...> --name rstudio rocker/rstudio
in my browser I then get a nice RStudio instance at the address http://192.168.99.100:8787
but in this instance I can't install several packages such as xml2. I get the message:
Using PKG_CFLAGS=
Using PKG_LIBS=-lxml2
------------------------- ANTICONF ERROR ---------------------------
Configuration failed because libxml-2.0 was not found. Try installing:
* deb: libxml2-dev (Debian, Ubuntu, etc)
* rpm: libxml2-devel (Fedora, CentOS, RHEL)
* csw: libxml2_dev (Solaris)
If libxml-2.0 is already installed, check that 'pkg-config' is in your
PATH and PKG_CONFIG_PATH contains a libxml-2.0.pc file. If pkg-config
is unavailable you can set INCLUDE_DIR and LIB_DIR manually via:
R CMD INSTALL --configure-vars='INCLUDE_DIR=... LIB_DIR=...'
--------------------------------------------------------------------
ERROR: configuration failed for package ‘xml2’
* removing ‘/usr/local/lib/R/site-library/xml2’
Warning in install.packages :
installation of package ‘xml2’ had non-zero exit status
I don't know whether xml2 is on the image but the file libxml-2.0.pc does exist on my laptop in the directory /opt/local/lib/pkgconfig and pkg-config is in /opt/local/bin. So I tried linking these pkg paths when running
the image (to see what happen when I play with the image environment
in RStudio), adding options -v
/opt/local/lib/pkgconfig:/home/rstudio/lib/pkgconfig -v
/opt/local/bin:/home/rstudio/bin to the run command. But it doesn't work: for some reason
I don't see the content of lib/pkgconfig in RStudio...
Also the RStudio instance does not accept root/sudo commands so I can't
use tools such as apt-get in the RStudio terminal
so, what's the trick ?
Libraries on your laptop (the host for docker) are not available for docker containers. You should create a custom image with required libraries, create a Dockerfile like this:
FROM rocker/rstudio
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
libxml2-dev # add any additional libraries you need
CMD ["/init"]
Above I added the libxml2-dev but you can add as many libraries as you need.
Then build your image using this command (you need to execute below command in directory there you created Dockerfile):
docker build -t my_rstudio:0.1 .
Then you can start your container:
docker run -d -p 8787:8787 -e DISABLE_AUTH=true --name rstudio my_rstudio:0.1
(you can add any additional arguments like -v to above).