reading_order.py

import os
import copy

from surya.detection import batch_text_detection
from surya.input.load import load_from_folder, load_from_file
from surya.layout import batch_layout_detection
from surya.model.detection.model import load_model as load_det_model, load_processor as load_det_processor
from surya.model.ordering.model import load_model
from surya.model.ordering.processor import load_processor
from surya.ordering import batch_ordering
from surya.postprocessing.heatmap import draw_polys_on_image
from surya.settings import settings


def main(input_path, max_pages=None):
    model = load_model()
    processor = load_processor()

    layout_model = load_det_model(checkpoint=settings.LAYOUT_MODEL_CHECKPOINT)
    layout_processor = load_det_processor(checkpoint=settings.LAYOUT_MODEL_CHECKPOINT)

    det_model = load_det_model()
    det_processor = load_det_processor()

    if os.path.isdir(input_path):
        images, names = load_from_folder(input_path, max_pages)

    else:
        images, names = load_from_file(input_path, max_pages)


    line_predictions = batch_text_detection(images, det_model, det_processor)
    layout_predictions = batch_layout_detection(images, layout_model, layout_processor, line_predictions)
    bboxes = []
    for layout_pred in layout_predictions:
        bbox = [l.bbox for l in layout_pred.bboxes]
        bboxes.append(bbox)

    order_predictions = batch_ordering(images, bboxes, model, processor)

    for idx, (image, layout_pred, order_pred, name) in enumerate(zip(images, layout_predictions, order_predictions, names)):
        polys = [l.polygon for l in order_pred.bboxes]
        labels = [str(l.position) for l in order_pred.bboxes]
        bbox_image = draw_polys_on_image(polys, copy.deepcopy(image), labels=labels, label_font_size=20)
        return bbox_image