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/piexif/_insert.py

@@ -0,0 +1,60 @@
+import io
+import struct
+import sys
+
+from ._common import *
+from ._exceptions import InvalidImageDataError
+from piexif import _webp
+
+def insert(exif, image, new_file=None):
+    """
+    py:function:: piexif.insert(exif_bytes, filename)
+
+    Insert exif into JPEG.
+
+    :param bytes exif_bytes: Exif as bytes
+    :param str filename: JPEG
+    """
+    if exif[0:6] != b"\x45\x78\x69\x66\x00\x00":
+        raise ValueError("Given data is not exif data")
+
+    output_file = False
+    # Prevents "UnicodeWarning: Unicode equal comparison failed" warnings on Python 2
+    maybe_image = sys.version_info >= (3,0,0) or isinstance(image, str)
+
+    if maybe_image and image[0:2] == b"\xff\xd8":
+        image_data = image
+        file_type = "jpeg"
+    elif maybe_image and image[0:4] == b"RIFF" and image[8:12] == b"WEBP":
+        image_data = image
+        file_type = "webp"
+    else:
+        with open(image, 'rb') as f:
+            image_data = f.read()
+        if image_data[0:2] == b"\xff\xd8":
+            file_type = "jpeg"
+        elif image_data[0:4] == b"RIFF" and image_data[8:12] == b"WEBP":
+            file_type = "webp"
+        else:
+            raise InvalidImageDataError
+        output_file = True
+
+    if file_type == "jpeg":
+        exif = b"\xff\xe1" + struct.pack(">H", len(exif) + 2) + exif
+        segments = split_into_segments(image_data)
+        new_data = merge_segments(segments, exif)
+    elif file_type == "webp":
+        exif = exif[6:]
+        new_data = _webp.insert(image_data, exif)
+
+    if isinstance(new_file, io.BytesIO):
+        new_file.write(new_data)
+        new_file.seek(0)
+    elif new_file:
+        with open(new_file, "wb+") as f:
+            f.write(new_data)
+    elif output_file:
+        with open(image, "wb+") as f:
+            f.write(new_data)
+    else:
+        raise ValueError("Give a 3rd argument to 'insert' to output file")