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/streaming/__init__.pyi

@@ -0,0 +1,42 @@
+__all__: list[str] = []
+
+import cv2
+import typing as _typing
+
+
+# Enumerations
+sync_policy_dont_sync: int
+SYNC_POLICY_DONT_SYNC: int
+sync_policy_drop: int
+SYNC_POLICY_DROP: int
+sync_policy = int
+"""One of [sync_policy_dont_sync, SYNC_POLICY_DONT_SYNC, sync_policy_drop, SYNC_POLICY_DROP]"""
+
+
+
+# Classes
+class queue_capacity:
+    capacity: int
+
+    # Functions
+    def __init__(self, cap: int = ...) -> None: ...
+
+
+
+# Functions
+def desync(g: cv2.GMat) -> cv2.GMat: ...
+
+def seqNo(arg1: cv2.GMat) -> cv2.GOpaqueT: ...
+
+def seq_id(arg1: cv2.GMat) -> cv2.GOpaqueT: ...
+
+@_typing.overload
+def size(src: cv2.GMat) -> cv2.GOpaqueT: ...
+@_typing.overload
+def size(r: cv2.GOpaqueT) -> cv2.GOpaqueT: ...
+@_typing.overload
+def size(src: cv2.GFrame) -> cv2.GOpaqueT: ...
+
+def timestamp(arg1: cv2.GMat) -> cv2.GOpaqueT: ...
+
+