- 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
19 lines
503 B
Python
19 lines
503 B
Python
from collections.abc import Iterable
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from typing import Literal as L
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__all__ = ["PytestTester"]
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class PytestTester:
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module_name: str
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def __init__(self, module_name: str) -> None: ...
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def __call__(
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self,
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label: L["fast", "full"] = "fast",
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verbose: int = 1,
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extra_argv: Iterable[str] | None = None,
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doctests: L[False] = False,
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coverage: bool = False,
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durations: int = -1,
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tests: Iterable[str] | None = None,
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) -> bool: ...
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