Merge branch 'main' into dev/tagging

import os.path

import matplotlib.font_manager as fm

def get_cn_fp() -> fm.FontProperties:

    ttf_file = os.path.join(os.path.dirname(__file__), 'SimHei.ttf')

    return fm.FontProperties(fname=ttf_file)

    for i, img in enumerate(images, start=0):

        xi, yi = i // columns, i % columns

        image, label = _image_input_process(img, autocensor)

        if rows == 1 and columns == 1:

            ax = axs

        elif rows == 1:

            ax = axs[yi]

        else:

        ax = axs[xi, yi]

        ax.imshow(image)

        ax.set_title(label)

import font

from imgutils.data import load_image

from imgutils.detect import detect_text

from imgutils.detect.visual import detection_visualize

from imgutils.ocr import ocr

from plot import image_plot

def _detect_with_ocr(img, *, max_size=None, **kwargs):

    img = load_image(img, mode='RGB', force_background='white')

    if max_size is not None and min(img.height, img.width) > max_size:

        r = max_size / min(img.height, img.width)

        img = img.resize((

            int(round(img.width * r)),

            int(round(img.height * r)),

        ))

    return detection_visualize(img, ocr(img, **kwargs), fp=font.get_cn_fp())

def _detect_with_deprecated(img, **kwargs):

    return detection_visualize(img, detect_text(img, **kwargs))

if __name__ == '__main__':

    image_plot(

        (_detect_with_deprecated('text/ml2.jpg'), 'detect_text'),

        (_detect_with_ocr('text/ml2.jpg'), 'detect_text_with_ocr'),

        columns=2,

        figsize=(13, 3.8),

    )