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
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@@ -17,3 +17,6 @@ pytest>=8.0.0
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pytest-asyncio>=0.23.0
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pytest-cov>=4.1.0
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httpx>=0.27.0
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opencv-python>=4.8.0
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piexif>=1.1.3
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python-magic>=0.4.27
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