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

venv/lib/python3.12/site-packages/cv2/samples/__init__.pyi

@@ -0,0 +1,12 @@
+__all__: list[str] = []
+
+# Functions
+def addSamplesDataSearchPath(path: str) -> None: ...
+
+def addSamplesDataSearchSubDirectory(subdir: str) -> None: ...
+
+def findFile(relative_path: str, required: bool = ..., silentMode: bool = ...) -> str: ...
+
+def findFileOrKeep(relative_path: str, silentMode: bool = ...) -> str: ...
+
+