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Daniel Bedeleanu 3aafacab12 feat(phase1): implement OpenCV image processing pipeline
- Create ImageProcessor service with EXIF orientation detection
- Implement smart cropping via OpenCV contour detection (10% padding)
- Add text orientation detection using Hough line transform
- Resize and compress images to 1200px with 85% JPEG quality
- Generate 200px square thumbnails with center crop
- Fallback to Pillow if OpenCV fails
- Comprehensive test suite: 28 tests all passing
- File size validation (reject >10MB)
- Graceful error handling for corrupted/invalid images
- Update requirements.txt with opencv-python, piexif, python-magic
2026-04-20 22:17:11 +03:00

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[pkg_config]
numpy = numpy._core.lib.pkgconfig
[array_api]
numpy = numpy
[pyinstaller40]
hook-dirs = numpy:_pyinstaller_hooks_dir
[console_scripts]
f2py = numpy.f2py.f2py2e:main
numpy-config = numpy._configtool:main