- 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
11 lines
396 B
Python
11 lines
396 B
Python
from collections.abc import Callable, Hashable
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from typing import Any
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from typing_extensions import TypeIs
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import numpy as np
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def get_overridable_numpy_ufuncs() -> set[np.ufunc]: ...
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def get_overridable_numpy_array_functions() -> set[Callable[..., Any]]: ...
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def allows_array_ufunc_override(func: object) -> TypeIs[np.ufunc]: ...
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def allows_array_function_override(func: Hashable) -> bool: ...
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