opencv source package in Yakkety
libcv-dev: Translation package for libcv-dev
libcv2.4: computer vision library - libcv* translation package
libcvaux-dev: No summary available for libcvaux-dev in ubuntu yakkety.
libcvaux2.4: computer vision library - libcvaux translation package
libhighgui-dev: Translation package for libhighgui-dev
libhighgui2.4: No summary available for libhighgui2.4 in ubuntu yakkety.
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-core-dev: development files for libopencv-core
libopencv-
libopencv-
libopencv-dev: development files for opencv
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-gpu-dev: development files for libopencv-gpu2.4v5
libopencv-gpu2.4v5: No summary available for libopencv-gpu2.4v5 in ubuntu yakkety.
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-ml-dev: development files for libopencv-ml
libopencv-ml2.4v5: No summary available for libopencv-ml2.4v5 in ubuntu yakkety.
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-ocl-dev: development files for libopencv-ocl2.4v5
libopencv-ocl2.4v5: No summary available for libopencv-ocl2.4v5 in ubuntu yakkety.
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-ts-dev: No summary available for libopencv-ts-dev in ubuntu yakkety.
libopencv-ts2.4v5: computer vision ts library
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv-
libopencv2.4-java: Java bindings for the computer vision library
libopencv2.4-jni: Java jni library for the computer vision library
libopencv2.
opencv-data: development data for opencv
opencv-doc: OpenCV documentation and examples
python-opencv: No summary available for python-opencv in ubuntu yakkety.
opencv information
Upstream connections
OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform. Adopted all around the world, OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 7 million. Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics.
- Bug supervisor:
- Bug tracker:
- Branch:
There are no registered releases for the OpenCV ⇒ trunk.