Version: 1.0.0
Dependencies:
- CMake
- compiler with c++14 support
- Python3
- scikit-build (
pip3 install scikit-build) - OpenCV (>= 4.2.0)
- MacOS:
brew install opencv - Windows: tutorial
- Linux: Installing OpenCV on Ubuntu
- MacOS:
- NumPy (
pip3 install numpy) - pybind11 (
pip3 install pybind11)
cvvidproc is a small library with utilities for processing OpenCV videos. It was developed to support Andy Ylitalo's bubble-tracking project with faster implementations of video processing than can be achieved in pure Python. See API.md for the Python API.
As simple as:
pip3 install .
For manually installed OpenCV, you must define these environment variables:
CV_DIR=path/to/location/of/opencv/library // e.g. ~/MyLibs/
CV_INSTALL_DIR=path/to/opencv/installation // e.g. ~/MyLibs/OpenCV/opencv-1.2.3/release/
# full call for installing python module
CV_DIR=~/MyLibs/ \
CV_INSTALL_DIR=~/MyLibs/OpenCV/opencv-1.2.3/release/ \
pip3 install .
- Rerunning this command after files are changed will update the installation. E.g.
git pull origin master->git merge origin/master->pip3 install .. Usegit remote add upstream 'upstream repo url'to connect local repo with upstream/origin (upstream is developer repo, origin is remote clone e.g. in Github).
Generate the build system:
// in command line
cmake -S . -B Build
// the OpenCV directory flags must have -D in this case
-DCV_DIR=~/MyLibs/
-DCV_INSTALL_DIR=~/MyLibs/OpenCV/opencv-1.2.3/release/
// for example
cmake -S . -B Build -DCV_DIR=~/MyLibs/ -DCV_INSTALL_DIR=~/MyLibs/OpenCV/opencv-1.2.3/release/
Build the project:
cmake --build Build
Execute program:
./Build/cvvidproc --vid=vid.mp4
Notes:
- place videos in
Videos/directory to make them easily findable by program, or pass the entire video path to--vid_path=path/to/vid/your_vid.vid_ext - use tag
--helpto learn command line options
If you have Linux, here are all the recommended packages to install first, and steps to take.
- start by updating your existing packages
sudo apt-get update
sudo apt-get upgrade
- for video I/O
sudo apt-get install build-essential cmake unzip pkg-config
sudo apt-get install libjpeg-dev libpng-dev libtiff-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
sudo apt-get install libxvidcore-dev libx264-dev
- for GTK as GUI backend
sudo apt-get install libgtk-3-dev
- for mathematical optimizations
sudo apt-get install libatlas-base-dev gfortran
- FFMPEG and supporting packages for video support
sudo apt install ffmpeg libavcodec-dev libavformat-dev libavutil-dev libswscale-dev
- gstreamer for opening and viewing mp4 files (not required for opencv, but nice to have if dealing with mp4s)
sudo apt install gstreamer1.0-libav
- packages for gstreamer to be found by cmake during OpenCV build
sudo apt install libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
- download and unzip opencv source (from OpenCV install tutorial)
wget -O opencv.zip https://github.com/opencv/opencv/archive/master.zip
unzip opencv.zip
mv opencv-master opencv
mkdir -p build && cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local/ -D INSTALL_C_EXAMPLES=OFF -D BUILD_TEST=OFF -D WITH_FFMPEG=ON -D WITH_OPENCL=OFF -D BUILD_PERF_TESTS=OFF -D WITH_GTK=ON -D WITH_GSTREAMER=ON ..
- assuming you are in directory
opencv/build, first build then install OpenCV (note: installing is optional, see the tutorial's warning on that subject)
make -j4
sudo make install
If you decline to install with sudo make install, then you must manually link OpenCV to cvvidproc. If, for example, you build OpenCV in the directory "~", then the command for generating a build system will be:
cmake -S . -B Build -D CV_DIR=/~/ -D CV_INSTALL_DIR=/~/opencv/build/
Ubuntu users may need to download and set up an 'X server for Windows' by following this tutorial. If your Ubuntu doesn't already have it, install GTK3 for backend GUI with:
sudo apt-get install libgtk-3-0
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