GitHub - uploadcare/pillow-simd: The friendly PIL fork
Pillow-SIMD is highly optimized version of Pillow library for x86 architecture (mainly Intel and AMD CPUs). Pillow-SIMD is "following" Pillow which means it is drop-in replacements for Pillow of the same version. For example, Pillow-SIMD 3.2.0.post3 is a drop-in replacement for Pillow 3.2.0, and Pillow-SIMD 3.3.3.post0 — for Pillow 3.3.3. For more information on the original Pillow, please refer t
PIL/Pillow チートシート - Qiita
PIL/Pillowはコンパクトで高速なPython用の画像ライブラリです。 よく使う処理をまとめました（随時更新） PILとPillowの違い 基本的にPILを使う理由はありません、Pillowの方がリサイズフィルタのバグフィックスがされており高品質です。 Pillowの速度について Pillowは非常に高速にチューニングされており、同様なライブラリであるImageMagickよりも常に高速に動作します。 ただし、getpixel/putpixelは非常に低速です、画像生成以外には使わないようにしましょう。 更に高速なpillow-simdもあります。概ねオリジナルのPillowの4〜5倍の速度が出るようです。 pillow-simd https://github.com/uploadcare/pillow-simd 参考 Imageモード一覧 モード 説明
"The _imaging C module is not installed"
Also see the PIL FAQ (dead link). Why does PIL say “The _imaging C module is not installed”? The PIL library consists of two main parts: a number of Python modules, usually stored in a PIL subdirectory, and a binary extension module called _imaging. Depending on platform and version, the latter is stored in a file named _imaging.pyd, _imaging.dll or _imaging.so (or some variation thereof). If Pyth
Pillow Python Tutorial in Details
Python is an amazing language not just because it is easy to learn but it has lots of libraries and tools that make the job easy and cool. One such tool in python is Pillow. In Python, Pillow is one of the most popular tools to deal with digital images. Of course, we have other tools in python too like OpenCV, Scikit-image, PIL, etc. that do the same thing. Why do we use Pillow? After the disconti
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GitHub - pjohalloran/texture-atlas-generator: Texture Atlas Generator is a pipeline tool for generating texture atlases, atlas data files and image fonts for use in apps and games.
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