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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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396 B
Python

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