Files
tfm_ainventory/venv/lib/python3.12/site-packages/numpy/f2py/cfuncs.pyi
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

32 lines
802 B
Python

from typing import Final, TypeAlias
from .__version__ import version
###
_NeedListDict: TypeAlias = dict[str, list[str]]
_NeedDict: TypeAlias = dict[str, str]
###
f2py_version: Final = version
outneeds: Final[_NeedListDict] = ...
needs: Final[_NeedListDict] = ...
includes0: Final[_NeedDict] = ...
includes: Final[_NeedDict] = ...
userincludes: Final[_NeedDict] = ...
typedefs: Final[_NeedDict] = ...
typedefs_generated: Final[_NeedDict] = ...
cppmacros: Final[_NeedDict] = ...
cfuncs: Final[_NeedDict] = ...
callbacks: Final[_NeedDict] = ...
f90modhooks: Final[_NeedDict] = ...
commonhooks: Final[_NeedDict] = ...
def errmess(s: str) -> None: ...
def buildcfuncs() -> None: ...
def get_needs() -> _NeedListDict: ...
def append_needs(need: str | list[str], flag: int = 1) -> _NeedListDict: ...