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-OpenCV (Open Source Computer Vision Library) is an open source
-computer vision and machine learning software library.
-OpenCV was built to provide a common infrastructure for
-computer vision applications and to accelerate the use of
-machine perception in commercial products.
-
-This SlackBuild is incompatible with the opencv-legacy SlackBuild
-so they should not be installed simultaneously.
-
-OpenCV will incorporate features from a wide range of additional
-software that may exist on the host system at build time. The more
-of the relevant software packages that are available, the greater
-the feature set available in the resulting OpenCV package. The
-additional optional packages will mostly be autodetected and used
-at build time without any user intervention. Packages that are
-processed in this way include (by SBo package name):
-    libdc1394 ffmpeg hdf5 VTK libwebp tesseract glog
-    apache-ant numpy OpenBLAS openjdk8 (or openjdk or jdk)
-
-In the unlikely situation that features from these packages are not
-wanted despite already being installed on the host system,
-incorporation of some of them into OpenCV may be suppressed by setting
-the appropriate environment variable to "no" e.g.
-    CVFFMPEG=no sh ./opencv.SlackBuild
-Features that may be excluded in this manner are controlled by the
-following environment variables:
-    CV1394 CVFFMPEG CVVTK
-
-At least one optional package is not autodetected, even though the
-necessary prerequisite software may already have been installed. It
-must therefore be explicitly enabled by setting the appropriate
-environment variable:
-    CVGDAL=yes ./opencv.SlackBuild
-(to support SBo's gis/gdal)
-
-Access to patented algorithms e.g.SIFT/SURF may be enabled by setting
-the CVNONFREE environment variable:
-    CVNONFREE=yes ./opencv.SlackBuild
-
-Please note that some combinations of options may not be possible. In
-particular, if both qt5 and VTK are installed on the host build system,
-VTK support will be disabled unless it was built with qt5 support (which
-is possible but not its default). Conversely, if VTK has been built with
-qt5, it will be disabled in OpenCV unless it too is being built with qt5.
-
-Since opencv version 4.1.1, Qt5 is the required widget framework
-(Qt4 is insufficient). Therefore qt5 is now a required dependency,
-although this may be bypassed (with reduced functionality) by setting
-the CVQT5 environment variable e.g.
-    CVQT5=no sh ./opencv.SlackBuild
-
-This package is configured to generate python bindings for Python 3 (via
-dependency on the numpy3 package). If bindings for Python 2 are required,
-the numpy package is required when building opencv.
-
-The Extra 2D Features Framework from OpenCV's "extra modules" section
-is disabled by default as it entails additional downloading during
-the configure stage of building. It may be enabled by setting the XF2D
-environment variable when building e.g.
-    XF2D=yes sh ./opencv.SlackBuild
-Usually, this also applies to the Deep Neural Network (DNN) module
-however it is no longer possible to complete a build without without
-it and therefore remains enabled by default.
-
-The face recognition module is enabled by default. This incurs an additional
-download of the face_landmark_model.dat file (~70M) from OpenCV's github
-repository during configuration. If this is not desired, the face module
-can be disabled by setting OCV_FACE environment variable  to "no"
-e.g.
-    OCV_FACE=no sh ./opencv.SlackBuild
-
-Documentation is generated by the SlackBuild unless it is switched off
-by setting the CVDOCS environment variable i.e.
-    CVDOCS=no sh ./opencv.SlackBuild
-Enabling the documentation results in additional downloading of example data
-during the configure stage of building.
-
-The graphviz package is an optional dependency for enhanced
-documentation.