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effiency->efficiency
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anlow12
2018-07-16 23:14:08 -07:00
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commit 1718819dda
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README.md
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@@ -15,7 +15,7 @@ Python for this kind of work, I am no longer updating the code for those languag
BreezySLAM works with Python 2 and 3 on Linux and Mac OS X, and BreezySLAM works with Python 2 and 3 on Linux and Mac OS X, and
with C++ on Linux and Windows. with C++ on Linux and Windows.
By using Python C extensions, we were able to get the Python and Matlab versions to run By using Python C extensions, we were able to get the Python and Matlab versions to run
as fast as C++. For maximum effiency on 32-bit platforms, we use Streaming as fast as C++. For maximum efficiency on 32-bit platforms, we use Streaming
SIMD extensions (Intel) and NEON (ARMv7) in the compute-intensive part SIMD extensions (Intel) and NEON (ARMv7) in the compute-intensive part
of the code. of the code.
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