wehub-resource-sync
59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
import time
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import click
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import copy
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import json
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from collections import defaultdict
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from surya.inference import SuryaInferenceManager
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from surya.layout import LayoutPredictor
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from surya.debug.draw import draw_polys_on_image
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from surya.logging import configure_logging, get_logger
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from surya.scripts.config import CLILoader
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import os
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configure_logging()
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logger = get_logger()
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@click.command(help="Detect layout of an input file or folder (PDFs or image).")
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@CLILoader.common_options
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def detect_layout_cli(input_path: str, **kwargs):
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loader = CLILoader(input_path, kwargs)
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manager = SuryaInferenceManager()
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layout_predictor = LayoutPredictor(manager)
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start = time.time()
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layout_predictions = layout_predictor(loader.images)
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if loader.debug:
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logger.debug(f"Layout took {time.time() - start} seconds")
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if loader.save_images:
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for idx, (image, layout_pred, name) in enumerate(
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zip(loader.images, layout_predictions, loader.names)
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):
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polygons = [p.polygon for p in layout_pred.bboxes]
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labels = [f"{p.label}-{p.position}" for p in layout_pred.bboxes]
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bbox_image = draw_polys_on_image(
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polygons, copy.deepcopy(image), labels=labels
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)
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bbox_image.save(
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os.path.join(loader.result_path, f"{name}_{idx}_layout.png")
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)
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predictions_by_page = defaultdict(list)
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for idx, (pred, name, image) in enumerate(
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zip(layout_predictions, loader.names, loader.images)
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):
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out_pred = pred.model_dump()
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out_pred["page"] = len(predictions_by_page[name]) + 1
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predictions_by_page[name].append(out_pred)
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with open(
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os.path.join(loader.result_path, "results.json"), "w+", encoding="utf-8"
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) as f:
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json.dump(predictions_by_page, f, ensure_ascii=False)
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logger.info(f"Wrote results to {loader.result_path}")
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