`dawsonia.label`#

Labelling CLI and GUI

Module Contents#

`command`	Label PDF images to create raw training data.
`labelling_gui`	GUI for manually entering labels to detected table cells.
`save_labelled_image`	Save input label as the filename of image.
`label_page`	Convert chosen page to image, label the detected cells and save it in `output_path`.
`label_table`	Crop image to extract table cells based on its positions and (non-)interactively save images.

`logger`
`app`

dawsonia.label.command(path_file: pathlib.Path, first_page: typing.Annotated[int, typer.Option('-f', '--first-page')] = 0, last_page: typing.Annotated[int, typer.Option('-l', '--last-page')] = 0, page_middle: typing.Annotated[int, typer.Option('-m', '--page-middle', help='X coordinate of middle of page to help the rotation correction')] = -1, size_cell: tuple[float, float, float, float] = (1.0, 1.0, 1.0, 1.0), interactive: bool = True, table_fmt_dir: pathlib.Path = Path('table_formats'), output_path: pathlib.Path = Path('output', 'label'), config: pathlib.Path = typer.Option('dawsonia.toml', *config_cli_names, **config_kwargs))#: Label PDF images to create raw training data.

dawsonia.label.labelling_gui(output_path: pathlib.Path, key_name)#: GUI for manually entering labels to detected table cells.

dawsonia.label.save_labelled_image(entry1: tkinter.Entry, key_name: str, root: tkinter.Tk, output_path: pathlib.Path)#: Save input label as the filename of image.

dawsonia.label.label_page(book: dawsonia.io.Book, page_number: int, output_path: pathlib.Path, interactive: bool)#: Convert chosen page to image, label the detected cells and save it in output_path.

dawsonia.label.label_table(book: dawsonia.io.Book, image_page: dawsonia.typing.NDArray, output_path: pathlib.Path, interactive: bool, page_number: int, table_nb: int, table_size: collections.abc.Sequence[int], table_pos_array: dawsonia.typing.NDArray)#: Crop image to extract table cells based on its positions and (non-)interactively save images.