libv4l | thin abstraction layer on top of video4linux2 devices
kandi X-RAY | libv4l Summary
kandi X-RAY | libv4l Summary
libv4l is a collection of libraries which adds a thin abstraction layer on top of video4linux2 devices. The purpose of this (thin) layer is to make it easy for application writers to support a wide variety of devices without having to write seperate code for different devices in the same class. All libv4l components are licensed under the GNU Lesser General Public License version 2 or (at your option) any later version.
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QUESTION
I've got a device running Ubuntu 18.04LTS on a 64-bit ARM processor. I'd like to develop a GUI that will let me access the camera feed of potentially multiple attached devices (/dev/video0, /dev/video1). Ideally this will be possible with a .NET stack (.NET Core and AvaloniaUI are what I'm looking at). I'm aware of using P/Invoke, but only have a rough understanding of using it. I'm also aware of the libv4l2 library, however I'm not sure where to go from there.
If I have to phrase this as a more direct question for SO: How can I display the /dev/videoX feed on an Ubuntu-ARM64 device in a GUI app built with NET Core (ideally with AvaloniaUI)?
...ANSWER
Answered 2021-Apr-12 at 16:56- Install https://www.nuget.org/packages/LibVLCSharp.Avalonia/
- MainWindow.axaml
QUESTION
I'm trying to build a Docker image including a very particular configuration of OpenCV with CUDA and GPU support.
The build succeeds, and if I make install
it from the same context that built the image, it works with no problems.
The problem happens when I try to use a multi stage build, to avoid keeping all the dependencies needed to build OpenCV. Before you continue reading, what follows might actually be an XY problem, if you have a better solution on how to copy OpenCV build artifacts (including Python bindings!) in a Docker multistage build, that is my actual intent.
Now for my attempted solution and the struggle I have:
I run COPY --from=requirements /opencv /opencv
and it works and it apparently copies everything in the right path (I checked the filesystem). But, when I run from the build
folder make install
, I get this CMake error:
ANSWER
Answered 2020-Sep-15 at 06:48It is simpler to run cmake & make
and make install
in the same stage and then copy the install folders. It will allow to not have any build tools like cmake
or build-essential
in the final docker image.
We will use a custom CMAKE_INSTALL_PREFIX
so that OpenCV binaries are installed to a directory and we can copy it straight to the next stage. Using a custom prefix will avoid having to copy CUDA installation or development libraries no longer required. Then we will run ldconfig
on that directory to link the libraries as usual.
Modify the build script to use a custom CMAKE_INSTALL_PREFIX
:
QUESTION
I'm trying to open a videoURL using cv2.VideoCapture on Heroku, and it consistently fails to open. I've called the same code on my local machine (Windows 10) and it ran with no problems. Does anyone have recommendations/buildpacks/alternatives to resolve this?
OpenCV Version: 3.4.2.16
Python: 3.7
Current Buildpacks:
- https://github.com/cstavish/heroku-buildpack-vips.git
- https://github.com/jonathanong/heroku-buildpack-ffmpeg-latest.git
- https://github.com/heroku/heroku-buildpack-apt
- heroku/python
- https://github.com/timanovsky/subdir-heroku-buildpack
Open Cv Build info (Video) from the Heroku Dyno
...ANSWER
Answered 2020-Aug-16 at 08:09My apologies for the delay. I am assuming you are using pip
to install OpenCV.
The answer to your question is that for OpenCV 3.x, Mac OS and Linux (and ultimately the environment that Heroku is run under) do not link with FFMPEG which means that video support is not enabled for those platforms. However, it is enabled with Windows. This is the reason why there is an inconsistency between the platforms: What is the deal with `pip install opencv-python` is it a full opencv?
The solution is you will either need to build OpenCV 3.x from source, or use OpenCV 4 which now bundles FFMPEG with it. I would highly recommend you use OpenCV 4 unless there is something blocking you from using it. However to install OpenCV 4, use either pip install --upgrade opencv-python
or pip install --upgrade opencv-contrib-python
. I'm not sure which flavour you are using, but either one should work.
QUESTION
I tried to install Python 3 on my Ubuntu 16.04.4 LTS and while using apt
i found this:
ANSWER
Answered 2018-Aug-16 at 14:47No. apt-get autoremove will only remove files which are not in use by any installed package. Since all the packages you need to run your system have been installed apt-get autoremove will not remove any important system file.
If you require one of the package listed in the apt-get autoremove, you can always install it manually using:
QUESTION
I have been trying to install opencv from source rather than pip since I could not read a VideoCapture successfully.
Installing opencv-3.2.0 on Ubuntu 16.04.3 LTS. Followed the details mentioned here.
I get the following errors in ".../opencv-3.2.0/build/CMakeFiles/CMakeError.log":
...ANSWER
Answered 2017-Aug-09 at 07:06For your problem, you have to run following command
QUESTION
I try to compile Qt 5.13 in a snap package, but I get the following error when priming it:
...ANSWER
Answered 2019-Nov-28 at 11:55In the traceback, a get_string
function is raising a UnicodeDecodeError because it can't decode some text from ASCII.
In the current source for elftools, this line has been replaced by
QUESTION
After countless errors i have been able to build an image of opencv with cuda for python. But image size is way too big. I have tried to reduce the size by following some articles but failed to do so. Here's one that i followed: https://medium.com/@saiprasanth2007/how-did-i-slim-down-the-docker-image-by-70-of-its-original-size-3099458ed7aa
My Dockerfile below:
...ANSWER
Answered 2019-Nov-27 at 08:36I tackled the problem by merging all the RUN command into one with a lot of '&& \'. This helped me get the image size down to 5.2 GB.
QUESTION
I have built my own opencv python package from source.
...ANSWER
Answered 2019-Feb-22 at 14:42For those who are struggling with the same problem on Windows... I had to set following CMake Options:
- only set "WITH_GSTREAMER" option to True, "WITH_GSTREAMER_0_10" MUST BE FALSE
- add new entry "GSTREAMER_DIR"=(path to gstreamer) for me it was "C:/gstreamer/1.0/x86_64" I found this solution here
My OpenCV version: 3.4.3
QUESTION
Using OpenCV we are able to get the camera resolution from a USB webcam if supported by
...ANSWER
Answered 2019-Apr-25 at 11:47So I found out that the final issue had to do with OpenCV not using the MJPEG format rather than defaulting to YUYV. Changing this using:
QUESTION
`Hello, I have installed OpenCV on the Raspberry a couple of times. However, since everything is constantly evolving (OS, libraries, etc...). This time I am getting the following error:
...ANSWER
Answered 2019-Apr-09 at 22:47I have also been running into this error and was able to solve it using the following steps:
navigate to your
OpenCV
directory (runningcd ..
from yourbuild
directory).run the following command:
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