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pillow-simd/pillow_simd_USER_GUIDE.txt
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================================================================================
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pillow_simd - USER GUIDE (Android Python STB) - Generated by RIMI
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================================================================================
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Package: pillow_simd
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Description: SIMD-optimized Pillow fork for fast image processing (8 C modules).
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Extension: pillow_simd.pyd
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Language: C
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Dependencies: NumPy, libjpeg-turbo, libpng, zlib
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================================================================================
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1. OVERVIEW
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================================================================================
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Pillow-SIMD is a SIMD-optimized fork of the Pillow image processing library.
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It provides the same API as Pillow but with significantly improved performance
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through SIMD instruction optimizations. This build produces 8 C extension
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modules for comprehensive image processing support.
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================================================================================
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2. INSTALLATION
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================================================================================
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From Android shell or Termux:
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pip install /path/to/pillow_simd-*.whl
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Or from within a build environment:
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python -m pip install --no-build-isolation pillow_simd
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================================================================================
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3. VERIFICATION
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================================================================================
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After installation, verify the package loads correctly:
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python -c "from PIL import Image; print('OK')"
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Run the pre-built test script (if available):
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python Scripts/test_pillow_simd.py
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================================================================================
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4. USAGE EXAMPLE
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================================================================================
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from PIL import Image, ImageFilter
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# Open an image
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img = Image.open("photo.jpg")
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# Resize with SIMD-optimized resampling
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resized = img.resize((800, 600), Image.LANCZOS)
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# Apply filter
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blurred = img.filter(ImageFilter.GaussianBlur(radius=5))
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# Save
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resized.save("output.webp", "WEBP", quality=85)
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================================================================================
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5. TROUBLESHOOTING
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================================================================================
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- If import fails with "cannot find shared library" the wheel was not
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built with a static linking strategy. Rebuild with the correct
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build script.
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- Ensure NumPy, libjpeg-turbo, libpng, and zlib are available during
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the build process.
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- Ensure your Android Python STB environment matches the ABI that
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the wheel was compiled for (typically arm64_v8a / aarch64).
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- Note: The import name is "PIL", not "pillow_simd".
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================================================================================
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Generated by RIMI
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================================================================================
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