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/gapi/ot/__init__.pyi

@@ -0,0 +1,32 @@
+__all__: list[str] = []
+
+import cv2
+import typing as _typing
+
+
+from cv2.gapi.ot import cpu as cpu
+
+
+# Enumerations
+NEW: int
+TRACKED: int
+LOST: int
+TrackingStatus = int
+"""One of [NEW, TRACKED, LOST]"""
+
+
+
+# Classes
+class ObjectTrackerParams:
+    max_num_objects: int
+    input_image_format: int
+    tracking_per_class: bool
+
+
+# Functions
+@_typing.overload
+def track(mat: cv2.GMat, detected_rects: cv2.GArrayT, detected_class_labels: cv2.GArrayT, delta: float) -> tuple[cv2.GArrayT, cv2.GArrayT, cv2.GArrayT, cv2.GArrayT]: ...
+@_typing.overload
+def track(frame: cv2.GFrame, detected_rects: cv2.GArrayT, detected_class_labels: cv2.GArrayT, delta: float) -> tuple[cv2.GArrayT, cv2.GArrayT, cv2.GArrayT, cv2.GArrayT]: ...
+
+

venv/lib/python3.12/site-packages/cv2/gapi/ot/cpu/__init__.pyi

@@ -0,0 +1,9 @@
+__all__: list[str] = []
+
+import cv2
+
+
+# Functions
+def kernels() -> cv2.GKernelPackage: ...
+
+