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https://github.com/python-pillow/Pillow.git
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Merge branch 'simd/info' into simd/5.3.x
This commit is contained in:
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commit
17582f734c
101
CHANGES.SIMD.rst
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101
CHANGES.SIMD.rst
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Changelog (Pillow-SIMD)
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=======================
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4.3.0.post0
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-----------
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- Float-based filters, single-band: 3x3 SSE4, 5x5 SSE4
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- Float-based filters, multi-band: 3x3 SSE4 & AVX2, 5x5 SSE4
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- Int-based filters, multi-band: 3x3 SSE4 & AVX2, 5x5 SSE4 & AVX2
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- Box blur: fast path for radius < 1
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- Alpha composite: fast div approximation
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- Color conversion: RGB to L SSE4, fast div in RGBa to RGBA
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- Resampling: optimized coefficients loading
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- Split and get_channel: SSE4
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3.4.1.post1
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-----------
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- Critical memory error for some combinations of source/destination
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sizes is fixed.
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3.4.1.post0
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-----------
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- A lot of optimizations in resampling including 16-bit
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intermediate color representation and heavy unrolling.
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3.3.2.post0
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-----------
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- Maintenance release
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3.3.0.post2
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-----------
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- Fixed error in RGBa -> RGBA conversion
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3.3.0.post1
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-----------
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Alpha compositing
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~~~~~~~~~~~~~~~~~
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- SSE4 and AVX2 fixed-point full loading implementation.
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Up to 4.6x faster.
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3.3.0.post0
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-----------
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Resampling
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~~~~~~~~~~
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- SSE4 and AVX2 fixed-point full loading horizontal pass.
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- SSE4 and AVX2 fixed-point full loading vertical pass.
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Conversion
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~~~~~~~~~~
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- RGBA -> RGBa SSE4 and AVX2 fixed-point full loading implementations.
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Up to 2.6x faster.
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- RGBa -> RGBA AVX2 implementation using gather instructions.
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Up to 5x faster.
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3.2.0.post3
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-----------
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Resampling
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~~~~~~~~~~
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- SSE4 and AVX2 float full loading horizontal pass.
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- SSE4 float full loading vertical pass.
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3.2.0.post2
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-----------
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Resampling
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~~~~~~~~~~
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- SSE4 and AVX2 float full loading horizontal pass.
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- SSE4 float per-pixel loading vertical pass.
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2.9.0.post1
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-----------
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Resampling
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~~~~~~~~~~
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- SSE4 and AVX2 float per-pixel loading horizontal pass.
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- SSE4 float per-pixel loading vertical pass.
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- SSE4: Up to 2x for downscaling. Up to 3.5x for upscaling.
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- AVX2: Up to 2.7x for downscaling. Up to 3.5x for upscaling.
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Box blur
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~~~~~~~~
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- Simple SSE4 fixed-point implementations with per-pixel loading.
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- Up to 2.1x faster.
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@ -15,6 +15,7 @@ graft depends
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graft winbuild
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graft docs
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prune docs/_static
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prune Tests
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# build/src control detritus
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exclude .appveyor.yml
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6
PyPI.rst
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6
PyPI.rst
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`Pillow-SIMD repo and readme <https://github.com/uploadcare/pillow-simd>`_
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`Pillow-SIMD changelog <https://github.com/uploadcare/pillow-simd/blob/simd/3.4.x/CHANGES.SIMD.rst>`_
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`Pillow documentation <https://pillow.readthedocs.io/>`_
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127
README.md
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README.md
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# Pillow-SIMD
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Pillow-SIMD is "following" [Pillow][original-docs].
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Pillow-SIMD versions are 100% compatible
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drop-in replacements for Pillow of the same version.
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For example, `Pillow-SIMD 3.2.0.post3` is a drop-in replacement for
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`Pillow 3.2.0`, and `Pillow-SIMD 3.3.3.post0` — for `Pillow 3.3.3`.
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For more information on the original Pillow, please refer to:
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[read the documentation][original-docs],
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[check the changelog][original-changelog] and
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[find out how to contribute][original-contribute].
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## Why SIMD
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There are multiple ways to tweak image processing performance.
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To name a few, such ways can be: utilizing better algorithms, optimizing existing implementations,
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using more processing power and/or resources.
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One of the great examples of using a more efficient algorithm is [replacing][gaussian-blur-changes]
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a convolution-based Gaussian blur with a sequential-box one.
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Such examples are rather rare, though. It is also known, that certain processes might be optimized
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by using parallel processing to run the respective routines.
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But a more practical key to optimizations might be making things work faster
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using the resources at hand. For instance, SIMD computing might be the case.
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SIMD stands for "single instruction, multiple data" and its essence is
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in performing the same operation on multiple data points simultaneously
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by using multiple processing elements.
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Common CPU SIMD instruction sets are MMX, SSE-SSE4, AVX, AVX2, AVX512, NEON.
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Currently, Pillow-SIMD can be [compiled](#installation) with SSE4 (default) or AVX2 support.
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## Status
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Pillow-SIMD project is production-ready.
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The project is supported by Uploadcare, a SAAS for cloud-based image storing and processing.
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[![Uploadcare][uploadcare.logo]][uploadcare.com]
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In fact, Uploadcare has been running Pillow-SIMD for about three years now.
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The following image operations are currently SIMD-accelerated:
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- Resize (convolution-based resampling): SSE4, AVX2
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- Gaussian and box blur: SSE4
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- Alpha composition: SSE4, AVX2
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- RGBA → RGBa (alpha premultiplication): SSE4, AVX2
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- RGBa → RGBA (division by alpha): SSE4, AVX2
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- RGB → L (grayscale): SSE4
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- 3x3 and 5x5 kernel filters: SSE4, AVX2
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- Split and get_channel: SSE4
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## Benchmarks
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Tons of tests can be found on the [Pillow Performance][pillow-perf-page] page.
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There are benchmarks against different versions of Pillow and Pillow-SIMD
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as well as ImageMagick, Skia, OpenCV and IPP.
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The results show that for resizing Pillow is always faster than ImageMagick,
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Pillow-SIMD, in turn, is even faster than the original Pillow by the factor of 4-6.
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In general, Pillow-SIMD with AVX2 is always **16 to 40 times faster** than
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ImageMagick and outperforms Skia, the high-speed graphics library used in Chromium.
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## Why Pillow itself is so fast
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No cheats involved. We've used identical high-quality resize and blur methods for the benchmark.
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Outcomes produced by different libraries are in almost pixel-perfect agreement.
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The difference in measured rates is only provided with the performance of every involved algorithm.
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## Why Pillow-SIMD is even faster
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Because of the SIMD computing, of course. But there's more to it:
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heavy loops unrolling, specific instructions, which aren't available for scalar data types.
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## Why do not contribute SIMD to the original Pillow
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Well, it's not that simple. First of all, the original Pillow supports
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a large number of architectures, not just x86.
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But even for x86 platforms, Pillow is often distributed via precompiled binaries.
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In order for us to integrate SIMD into the precompiled binaries
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we'd need to execute runtime CPU capabilities checks.
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To compile the code this way we need to pass the `-mavx2` option to the compiler.
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But with the option included, a compiler will inject AVX instructions even
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for SSE functions (i.e. interchange them) since every SSE instruction has its AVX equivalent.
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So there is no easy way to compile such library, especially with setuptools.
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## Installation
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If there's a copy of the original Pillow installed, it has to be removed first
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with `$ pip uninstall -y pillow`.
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The installation itself is simple just as running `$ pip install pillow-simd`,
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and if you're using SSE4-capable CPU everything should run smoothly.
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If you'd like to install the AVX2-enabled version,
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you need to pass the additional flag to a C compiler.
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The easiest way to do so is to define the `CC` variable during the compilation.
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```bash
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$ pip uninstall pillow
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$ CC="cc -mavx2" pip install -U --force-reinstall pillow-simd
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```
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## Contributing to Pillow-SIMD
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Please be aware that Pillow-SIMD and Pillow are two separate projects.
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Please submit bugs and improvements not related to SIMD to the [original Pillow][original-issues].
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All bugfixes to the original Pillow will then be transferred to the next Pillow-SIMD version automatically.
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[original-homepage]: https://python-pillow.org/
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[original-docs]: https://pillow.readthedocs.io/
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[original-issues]: https://github.com/python-pillow/Pillow/issues/new
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[original-changelog]: https://github.com/python-pillow/Pillow/blob/master/CHANGES.rst
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[original-contribute]: https://github.com/python-pillow/Pillow/blob/master/.github/CONTRIBUTING.md
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[gaussian-blur-changes]: https://pillow.readthedocs.io/en/3.2.x/releasenotes/2.7.0.html#gaussian-blur-and-unsharp-mask
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[pillow-perf-page]: https://python-pillow.github.io/pillow-perf/
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[pillow-perf-repo]: https://github.com/python-pillow/pillow-perf
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[uploadcare.com]: https://uploadcare.com/?utm_source=github&utm_medium=description&utm_campaign=pillow-simd
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[uploadcare.logo]: https://ucarecdn.com/74c4d283-f7cf-45d7-924c-fc77345585af/uploadcare.svg
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77
README.rst
77
README.rst
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@ -1,77 +0,0 @@
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Pillow
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======
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Python Imaging Library (Fork)
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-----------------------------
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Pillow is the friendly PIL fork by `Alex Clark and Contributors <https://github.com/python-pillow/Pillow/graphs/contributors>`_. PIL is the Python Imaging Library by Fredrik Lundh and Contributors.
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.. start-badges
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.. list-table::
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:stub-columns: 1
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* - docs
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- |docs|
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* - tests
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- |linux| |macos| |windows| |coverage|
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* - package
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- |zenodo| |version|
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* - social
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- |gitter| |twitter|
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.. |docs| image:: https://readthedocs.org/projects/pillow/badge/?version=latest
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:target: https://pillow.readthedocs.io/?badge=latest
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:alt: Documentation Status
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.. |linux| image:: https://img.shields.io/travis/python-pillow/Pillow/master.svg?label=Linux%20build
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:target: https://travis-ci.org/python-pillow/Pillow
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:alt: Travis CI build status (Linux)
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.. |macos| image:: https://img.shields.io/travis/python-pillow/pillow-wheels/latest.svg?label=macOS%20build
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:target: https://travis-ci.org/python-pillow/pillow-wheels
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:alt: Travis CI build status (macOS)
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.. |windows| image:: https://img.shields.io/appveyor/ci/python-pillow/Pillow/master.svg?label=Windows%20build
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:target: https://ci.appveyor.com/project/python-pillow/Pillow
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:alt: AppVeyor CI build status (Windows)
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.. |coverage| image:: https://coveralls.io/repos/python-pillow/Pillow/badge.svg?branch=master&service=github
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:target: https://coveralls.io/github/python-pillow/Pillow?branch=master
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:alt: Code coverage
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.. |zenodo| image:: https://zenodo.org/badge/17549/python-pillow/Pillow.svg
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:target: https://zenodo.org/badge/latestdoi/17549/python-pillow/Pillow
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.. |version| image:: https://img.shields.io/pypi/v/pillow.svg
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:target: https://pypi.org/project/Pillow/
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:alt: Latest PyPI version
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.. |gitter| image:: https://badges.gitter.im/python-pillow/Pillow.svg
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:target: https://gitter.im/python-pillow/Pillow?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge
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:alt: Join the chat at https://gitter.im/python-pillow/Pillow
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.. |twitter| image:: https://img.shields.io/badge/tweet-on%20Twitter-00aced.svg
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:target: https://twitter.com/PythonPillow
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:alt: Follow on https://twitter.com/PythonPillow
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.. end-badges
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More Information
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----------------
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- `Documentation <https://pillow.readthedocs.io/>`_
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- `Installation <https://pillow.readthedocs.io/en/latest/installation.html>`_
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- `Handbook <https://pillow.readthedocs.io/en/latest/handbook/index.html>`_
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- `Contribute <https://github.com/python-pillow/Pillow/blob/master/.github/CONTRIBUTING.md>`_
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- `Issues <https://github.com/python-pillow/Pillow/issues>`_
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- `Pull requests <https://github.com/python-pillow/Pillow/pulls>`_
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- `Changelog <https://github.com/python-pillow/Pillow/blob/master/CHANGES.rst>`_
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- `Pre-fork <https://github.com/python-pillow/Pillow/blob/master/CHANGES.rst#pre-fork>`_
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9
setup.py
9
setup.py
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@ -134,7 +134,7 @@ except (ImportError, OSError):
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# pypy emits an oserror
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_tkinter = None
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NAME = 'Pillow'
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NAME = 'Pillow-SIMD'
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PILLOW_VERSION = get_version()
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JPEG_ROOT = None
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JPEG2K_ROOT = None
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@ -630,7 +630,8 @@ class pil_build_ext(build_ext):
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exts = [(Extension("PIL._imaging",
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files,
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libraries=libs,
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define_macros=defs))]
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define_macros=defs,
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extra_compile_args=['-msse4']))]
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#
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# additional libraries
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@ -767,10 +768,10 @@ try:
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setup(name=NAME,
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version=PILLOW_VERSION,
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description='Python Imaging Library (Fork)',
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long_description=_read('README.rst').decode('utf-8'),
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long_description=_read('PyPI.rst').decode('utf-8'),
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author='Alex Clark (Fork Author)',
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author_email='aclark@aclark.net',
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url='http://python-pillow.org',
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url='https://github.com/uploadcare/pillow-simd',
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classifiers=[
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"Development Status :: 6 - Mature",
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"Topic :: Multimedia :: Graphics",
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|
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@ -1,2 +1,2 @@
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# Master version for Pillow
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__version__ = '5.3.0'
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__version__ = '5.3.0.post0'
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|||
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