robotpkg/image/opencv4

image/opencv4

Open Source Computer Vision

Directory:

image/opencv4 (package's history)

Package version:

opencv4-4.7.0

Home page:

http://opencv.org/

License:

modified-bsd

Source archive:

https://github.com/opencv/opencv/archive/4.7.0.tar.gz

Description:: OpenCV means Intel(R) Open Source Computer Vision Library. It is a collection of C functions and a few C++ classes that implement many popular Image Processing and Computer Vision algorithms. OpenCV provides cross-platform middle-to-high level API that includes about 300 C functions and a few C++ classes. Also there are Python bindings to OpenCV. OpenCV has no strict dependencies on external libraries, though it can use some (such as libjpeg, ffmpeg, GTK+ etc.) OpenCV provides transparent interface to Intel(R) Integrated Performance Primitives (IPP). That is, it loads automatically IPP libraries optimized for specific processor at runtime, if they are available.

Run dependencies:

bzip2, gdk-pixbuf2>=2<3, gtk3>=3<4, libX11>=1, libavcodec>=52, libavformat>=52, libavutil>=49, libjpeg, libpng>=1.2.9, libstdc++, libswscale>=0, libtiff>=3, py38-numpy>=1, shared-mime-info, xproto>=1, zlib>=1.2.3

Build dependencies:

cmake>=3.5.1, digest>=20080510, eigen3>=3.0.0, g++>=4.8, gcc>=3, patch>=2.0, pax, pkg-config>=0.22, pkg_install>=20110805.12, python38>=3.8<3.9, tnftp>=20130505~ssl

General options:

debug: Produce debugging information for binary programs

c++-compiler alternatives:

g++: Use the GNU C++ compiler
clang++: Use the LLVM C++ compiler
ccache-g++: Use ccache and the GNU C++ compiler
ccache-clang++: Use ccache and the LLVM C++ compiler

c-compiler alternatives:

gcc: Use the GNU C compiler
clang: Use the LLVM C compiler
ccache-gcc: Use ccache and the GNU C compiler
ccache-clang: Use ccache and the LLVM C compiler

python alternatives:

python27: Use python-2.7
python36: Use python-3.6
python38: Use python-3.8
python39: Use python-3.9
python310: Use python-3.10
python311: Use python-3.11
python312: Use python-3.12