mirror of
https://github.com/Ponce/slackbuilds
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69 lines
3.2 KiB
Text
69 lines
3.2 KiB
Text
OpenCV (Open Source Computer Vision Library) is an open source
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computer vision and machine learning software library.
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OpenCV was built to provide a common infrastructure for
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computer vision applications and to accelerate the use of
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machine perception in commercial products.
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This SlackBuild is incompatible with the opencv-legacy SlackBuild
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so they should not be installed simultaneously.
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OpenCV will incorporate features from a wide range of additional
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software that may exist on the host system at build time. The more
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of the relevant software packages that are available, the greater
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the feature set available in the resulting OpenCV package. The
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additional optional packages will mostly be autodetected and used
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at build time without any user intervention. Packages that are
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processed in this way include (by SBo package name):
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qt5 libdc1394 ffmpeg hdf5 VTK libwebp tesseract
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glog apache-ant numpy python3 numpy3 OpenBLAS
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openjdk8 (or openjdk or jdk)
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In the unlikely situation that features from these packages are not
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wanted despite already being installed on the host system,
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incorporation of some of them into OpenCV may be suppressed by setting
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the appropriate environment variable to "no" e.g.
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CVFFMPEG=no sh ./opencv.SlackBuild
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Features that may be excluded in this manner are controlled by the
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following environment variables:
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CV1394 CVFFMPEG CVVTK
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At least one optional package is not autodetected, even though the
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necessary prerequisite software may already have been installed. It
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must therefore be explicitly enabled by setting the appropriate
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environment variable:
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CVGDAL=yes ./opencv.SlackBuild
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(to support SBo's gis/gdal)
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Please note that some combinations of options may not be possible. In
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particular, if both qt5 and VTK are installed on the host build system,
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VTK support will be disabled unless it was built with qt5 support (which
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is possible but not its default). Conversely, if VTK has been built with
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qt5, it will be disabled in OpenCV unless it too is being built with qt5.
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This package is configured to generate python bindings for Python 3 (via
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dependency on the numpy3 package). If bindings for Python 2 are required,
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the numpy package is required when building opencv.
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The Deep Neural Network module and Extra 2D Features Framework from
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OpenCV's "extra modules" section are disabled by default. They may be
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enabled by setting the DNN and/or XF2D environment variables as required
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e.g.
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DNN=yes sh ./opencv.SlackBuild
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Enabling either of these modules results in additional downloading during
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the configure stage of building.
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The face recognition module is enabled by default. This incurs an additional
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download of the face_landmark_model.dat file (~70M) from OpenCV's github
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repository during configuration. If this is not desired, the face module
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can be disabled by setting OCV_FACE environment variable to "no"
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e.g.
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OCV_FACE=no sh ./opencv.SlackBuild
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Documentation is generated by the SlackBuild unless it is switched off
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by setting the CVDOCS environment variable i.e.
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CVDOCS=no sh ./opencv.SlackBuild
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Enabling the documentation results in additional downloading of example data
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during the configure stage of building.
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The graphviz package is an optional dependency for enhanced
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documentation.
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