Hello, I am trying to capture a video stream from a webcam, and simultaneously display the frames, using Open CV.
Previously, I have captured one image, and then at the end of my program displayed the image in a window, which works fine.
Cmake command has a lot of options: choose those that better suit your needs and run the commands below.
If you’re planning to use Qt 5.x, don’t use -D WITH_QT=ON.
Most likely the issue is related to too old pip and can be fixed by running ``pip install --upgrade pip`` and ``pip install wheel``.**Q: I need contrib modules?
**A: Please install `opencv-contrib-python `__ instead. However, note that commercial usage might be restricted in some countries since the contrib modules contain some non-free/patented algorithms.**Q: Import fails on Windows to some DLL load error?
Below is the code I am using: The window is simply grey the whole time, rather than updating the image as I want it to.
[Update] According to one of the users that tested it on Ubuntu 14.10, you’ll need to use WITH_FFMPEG=OFF. At the end of this post you’ll see a demonstration video of the installation and test. For those who already have it done, skip this and don’t forget to comment these lines from the script if you choose to use it.To install the dependencies required from Open CV, just run the following commands: sudo apt-get -y install libopencv-dev build-essential cmake git libgtk2.0-dev pkg-config python-dev python-numpy libdc1394-22 libdc1394-22-dev libjpeg-dev libpng12-dev libtiff4-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev libtbb-dev libqt4-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils unzip Now, we’ll install Open CV.Rebuild the library with Windows, GTK 2.x or Carbon support.If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function cv Show Image In order to maintain compatibility, conda-forge opencv builds without gtk2 support (see #25 ).Open CV is the most popular and advanced code library for Computer Vision related applications today, spanning from many very basic tasks (capture and pre-processing of image data) to high-level algorithms (feature extraction, motion tracking, machine learning).It is free software and provides a rich API in C, C , Java and Python. The library itself is platform-independent and often used for real-time image processing and computer vision.However, when I try to capture a sequence of several images, and display them in the window, then the window just turns grey, rather than displaying the image.Only at the end of the program will it display an image - not in the middle of the program.For those who already have installed previous releases, you’ll see that, basically, nothing has changed and it’s as easy as always. -- Ubuntu 14.04 LTS 64 bits or 32 bits installed and updated; As I wrote in the pre-requirements, is always nice to have your OS updated.Then, run apt-get update and apt-get upgrade before we really start.**A: If the import fails on Windows, make sure you have `Visual C redistributable 2015 `__ might be also required.**Q: I have some other import errors?Open CV (open source computer vision) is released under a BSD license and hence it’s free for both academic and commercial use.The procedures and script described below will therefore not work at least since Ubuntu 14.10!