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
python37
Use python-3.7
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