| """
|
| {
|
| "id": null,
|
| "tag": "div",
|
| "classes": "signature handwritten author1",
|
| "rect": {
|
| "x": 521.5546875,
|
| "y": 814.7109375,
|
| "width": 357.1640625,
|
| "height": 31.1953125
|
| },
|
| "visibility": "visible",
|
| "dataContent": null,
|
| "dataPlaceholder": null,
|
| "style": null,
|
| "text": "James Wellington",
|
| "selectorType": "handwriting"
|
| },
|
| """
|
|
|
| import json
|
| from pathlib import Path
|
| from typing import Iterable
|
|
|
| from docgenie.generation.models._bbox import OCRBox
|
|
|
|
|
| def read_visual_elements_from_geos(geo_path: Path) -> Iterable[dict]:
|
| data = json.loads(geo_path.read_text(encoding="utf-8"))
|
| for d in data:
|
| if "visual_element" in d["selectorTypes"]:
|
| yield d
|
|
|
|
|
| def read_handwriting_elements_from_geos(geo_path: Path) -> Iterable[dict]:
|
| data = json.loads(geo_path.read_text(encoding="utf-8"))
|
| for d in data:
|
| if "handwriting" in d["selectorTypes"]:
|
| yield d
|
|
|
|
|
| def read_layout_elements_from_geos(geo_path: Path) -> Iterable[dict]:
|
| data = json.loads(geo_path.read_text(encoding="utf-8"))
|
| for d in data:
|
| if "layout_element" in d["selectorTypes"]:
|
| yield d
|
|
|
|
|
| def read_custom_elements_from_geos(geo_path: Path) -> Iterable[dict]:
|
| data = json.loads(geo_path.read_text(encoding="utf-8"))
|
| for d in data:
|
| if "custom" in d["selectorTypes"]:
|
| yield d
|
|
|
|
|
| def rect_to_ocrbox(r: dict, text=None) -> OCRBox:
|
| return OCRBox(
|
| x0=r["x"],
|
| y0=r["y"],
|
| x2=r["x"] + r["width"],
|
| y2=r["y"] + r["height"],
|
| text=text,
|
| block_no=-1,
|
| line_no=-1,
|
| word_no=-1,
|
| )
|
|
|
