Initial MVP application skeleton

Add PySide6 camera UI, YOLO/Tesseract detection pipeline, capture metadata, configuration, and project gitignore.

app/label_parser.py

@@ -0,0 +1,44 @@
+from __future__ import annotations
+
+import re
+from dataclasses import dataclass, asdict
+
+
+ORDER_RE = re.compile(r"\b(?P<order>\d{4}/\d{4}/(?:[1-9]|[1-9]\d))\b")
+
+
+@dataclass
+class ParsedLabel:
+    order_number: str | None
+    color_code: str | None
+    product_model: str | None
+    raw_text: str
+
+    def to_dict(self) -> dict[str, str | None]:
+        return asdict(self)
+
+
+def normalize_ocr_text(text: str) -> str:
+    return " ".join(text.replace("\n", " ").replace("\r", " ").split())
+
+
+def parse_label_text(text: str, known_colors: list[str], known_models: list[str]) -> ParsedLabel:
+    normalized = normalize_ocr_text(text)
+    order_match = ORDER_RE.search(normalized)
+
+    normalized_upper = normalized.upper()
+    color_code = next(
+        (color for color in known_colors if color.upper() in normalized_upper),
+        None,
+    )
+    product_model = next(
+        (model for model in known_models if re.search(rf"\b{re.escape(model)}\b", normalized, re.I)),
+        None,
+    )
+
+    return ParsedLabel(
+        order_number=order_match.group("order") if order_match else None,
+        color_code=color_code,
+        product_model=product_model,
+        raw_text=normalized,
+    )