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Open Source Computer Vision Library
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Paul E. Murphy f38a61c66d fast_math: implement optimized PPC routines 
Implement cvRound using inline asm. No compiler support
exists today to properly optimize this. This results in
about a 4x speedup over the default rounding. Likewise,
simplify the growing number of rounding function overloads.

For P9 enabled targets, utilize the classification
testing instruction to test for Inf/Nan values. Operation
speedup is about 1.2x for FP32, and 1.5x for FP64 operands.

For P8 targets, fallback to the GCC nan inline. It provides
a 1.1/1.4x improvement for FP32/FP64 arguments.
2019-08-07 15:01:18 -05:00
.github migration: github.com/opencv/opencv 2016-07-12 12:51:12 +03:00
3rdparty Merge pull request #15059 from hugolm84:improved-support-for-wince 2019-07-24 23:12:09 +03:00
apps Update haarfeatures.cpp 2019-05-13 16:41:03 +03:00
cmake dnn: use OpenVINO 2019R2 defines 2019-07-24 21:37:03 +00:00
data Some mist. typo fixes 2018-02-07 06:59:15 -05:00
doc Fix python setup in ubuntu dependencies 2019-07-07 15:15:31 -04:00
include add missing DNN header to opencv2/opencv.hpp 2018-02-15 15:59:14 +01:00
modules fast_math: implement optimized PPC routines 2019-08-07 15:01:18 -05:00
platforms Merge pull request #15059 from hugolm84:improved-support-for-wince 2019-07-24 23:12:09 +03:00
samples Merge pull request #15118 from dkurt:fix_15106 2019-07-25 18:56:32 +00:00
.editorconfig add .editorconfig 2018-10-11 17:57:51 +00:00
.gitattributes cmake: generate and install ffmpeg-download.ps1 2018-06-09 13:19:48 +03:00
.gitignore git: .gitignore update 2017-11-07 17:24:48 +03:00
CMakeLists.txt Merge pull request #15059 from hugolm84:improved-support-for-wince 2019-07-24 23:12:09 +03:00
CONTRIBUTING.md migration: github.com/opencv/opencv 2016-07-12 12:51:12 +03:00
LICENSE copyright: 2019 2019-01-02 01:18:04 +00:00
README.md Improve README (#9243) 2017-09-13 17:58:34 +03:00

README.md

OpenCV: Open Source Computer Vision Library

Resources

Contributing

Please read the contribution guidelines before starting work on a pull request.

Summary of the guidelines:

  • One pull request per issue;
  • Choose the right base branch;
  • Include tests and documentation;
  • Clean up "oops" commits before submitting;
  • Follow the coding style guide.