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/onnx/__init__.pyi

@@ -0,0 +1,55 @@
+__all__: list[str] = []
+
+import cv2.gapi.onnx.ep
+import cv2.typing
+import typing as _typing
+
+
+from cv2.gapi.onnx import ep as ep
+
+
+# Enumerations
+TraitAs_TENSOR: int
+TRAIT_AS_TENSOR: int
+TraitAs_IMAGE: int
+TRAIT_AS_IMAGE: int
+TraitAs = int
+"""One of [TraitAs_TENSOR, TRAIT_AS_TENSOR, TraitAs_IMAGE, TRAIT_AS_IMAGE]"""
+
+
+
+# Classes
+class PyParams:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, tag: str, model_path: str) -> None: ...
+
+    def cfgMeanStd(self, layer_name: str, m: cv2.typing.Scalar, s: cv2.typing.Scalar) -> PyParams: ...
+
+    def cfgNormalize(self, layer_name: str, flag: bool) -> PyParams: ...
+
+    @_typing.overload
+    def cfgAddExecutionProvider(self, ep: cv2.gapi.onnx.ep.OpenVINO) -> PyParams: ...
+    @_typing.overload
+    def cfgAddExecutionProvider(self, ep: cv2.gapi.onnx.ep.DirectML) -> PyParams: ...
+    @_typing.overload
+    def cfgAddExecutionProvider(self, ep: cv2.gapi.onnx.ep.CoreML) -> PyParams: ...
+    @_typing.overload
+    def cfgAddExecutionProvider(self, ep: cv2.gapi.onnx.ep.CUDA) -> PyParams: ...
+    @_typing.overload
+    def cfgAddExecutionProvider(self, ep: cv2.gapi.onnx.ep.TensorRT) -> PyParams: ...
+
+    def cfgDisableMemPattern(self) -> PyParams: ...
+
+    def cfgSessionOptions(self, options: cv2.typing.map_string_and_string) -> PyParams: ...
+
+    def cfgOptLevel(self, opt_level: int) -> PyParams: ...
+
+
+
+# Functions
+def params(tag: str, model_path: str) -> PyParams: ...
+
+

venv/lib/python3.12/site-packages/cv2/gapi/onnx/ep/__init__.pyi

@@ -0,0 +1,63 @@
+__all__: list[str] = []
+
+import cv2.typing
+import typing as _typing
+
+
+# Classes
+class CoreML:
+    # Functions
+    def __init__(self) -> None: ...
+
+    def cfgUseCPUOnly(self) -> CoreML: ...
+
+    def cfgEnableOnSubgraph(self) -> CoreML: ...
+
+    def cfgEnableOnlyNeuralEngine(self) -> CoreML: ...
+
+
+class CUDA:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, dev_id: int) -> None: ...
+
+
+class TensorRT:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, dev_id: int) -> None: ...
+
+
+class OpenVINO:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, dev_type: str) -> None: ...
+    @_typing.overload
+    def __init__(self, params: cv2.typing.map_string_and_string) -> None: ...
+
+    def cfgCacheDir(self, dir: str) -> OpenVINO: ...
+
+    def cfgNumThreads(self, nthreads: int) -> OpenVINO: ...
+
+    def cfgEnableOpenCLThrottling(self) -> OpenVINO: ...
+
+    def cfgEnableDynamicShapes(self) -> OpenVINO: ...
+
+
+class DirectML:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, device_id: int) -> None: ...
+    @_typing.overload
+    def __init__(self, adapter_name: str) -> None: ...
+
+
+