Collection of algorithms for computer vision
OpenCV means Intel® Open Source Computer Vision Library. It is a collection of C
functions and a few C++ classes that implement some popular Image Processing and
Computer Vision algorithms.
- Developed at science
- Sources inherited from project openSUSE:Factory
-
11
derived packages
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Source Files
| Filename | Size | Changed |
|---|---|---|
| 0001-Do-not-include-glx.h-when-using-GLES.patch | 0000001007 1007 Bytes | |
| _constraints | 0000000407 407 Bytes | |
| build-workaround-issues-with-c.patch | 0000002077 2.03 KB | |
| fix-build-i386-nosse.patch | 0000001256 1.23 KB | |
| fix_processor_detection_for_32bit_on_64bit.patch | 0000001216 1.19 KB | |
| opencv-3.4.1.tar.gz | 0087051748 83 MB | |
| opencv-build-compare.patch | 0000001948 1.9 KB | |
| opencv-gles.patch | 0000000396 396 Bytes | |
| opencv-lib_suffix.patch | 0000001145 1.12 KB | |
| opencv.changes | 0000034102 33.3 KB | |
| opencv.spec | 0000010044 9.81 KB | |
| opencv_contrib-3.4.1.tar.gz | 0057126844 54.5 MB |
Revision 71 (latest revision is 101)
Dominique Leuenberger (dimstar_suse)
accepted
request 612803
from
Fabian Vogt (Vogtinator)
(revision 71)
- Add patch to fix use of headers from C:
* build-workaround-issues-with-c.patch
- Update to 3.4.1:
* Added support for quantized TensorFlow networks
* OpenCV is now able to use Intel DL inference engine as DNN
acceleration backend
* Added AVX-512 acceleration to the performance-critical kernels
* For more information, read
https://github.com/opencv/opencv/wiki/ChangeLog#version341
- Update contrib modules to 3.4.1:
* No changelog available
- Change mechanism the contrib modules are built
- Include LICENSE of contrib tarball as well
- Build with python3 on >= 15
- Add patch to fix build on i386 without SSE:
* fix-build-i386-nosse.patch
- Refresh patches:
* fix_processor_detection_for_32bit_on_64bit.patch
* opencv-build-compare.patch
- Mention all libs explicitly
- Rebase 3.4.0 update from i@marguerite.su
- update to 3.4.0
* Added faster R-CNN support
* Javascript bindings have been extended to
cover DNN module
* DNN has been further accelerated for iGPU
using OpenCL
* On-disk caching of precompiled OpenCL
kernels has been finally implemented
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