- 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
9 lines
241 B
Python
Executable File
9 lines
241 B
Python
Executable File
#!/tmp/image-system-phase1/venv/bin/python3
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# -*- coding: utf-8 -*-
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import re
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import sys
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from numpy._configtool import main
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if __name__ == '__main__':
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sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
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sys.exit(main())
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