wehub-resource-sync
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
import click
|
|
import copy
|
|
import json
|
|
import time
|
|
from collections import defaultdict
|
|
|
|
from surya.detection import DetectionPredictor
|
|
from surya.debug.draw import draw_polys_on_image
|
|
from surya.logging import configure_logging, get_logger
|
|
from surya.scripts.config import CLILoader
|
|
import os
|
|
|
|
configure_logging()
|
|
logger = get_logger()
|
|
|
|
|
|
@click.command(help="Detect bboxes in an input file or folder (PDFs or image).")
|
|
@CLILoader.common_options
|
|
def detect_text_cli(input_path: str, **kwargs):
|
|
loader = CLILoader(input_path, kwargs)
|
|
|
|
det_predictor = DetectionPredictor()
|
|
|
|
start = time.time()
|
|
predictions = det_predictor(loader.images, include_maps=loader.debug)
|
|
end = time.time()
|
|
if loader.debug:
|
|
logger.debug(f"Detection took {end - start} seconds")
|
|
|
|
if loader.save_images:
|
|
for idx, (image, pred, name) in enumerate(
|
|
zip(loader.images, predictions, loader.names)
|
|
):
|
|
polygons = [p.polygon for p in pred.bboxes]
|
|
bbox_image = draw_polys_on_image(polygons, copy.deepcopy(image))
|
|
bbox_image.save(os.path.join(loader.result_path, f"{name}_{idx}_bbox.png"))
|
|
|
|
if loader.debug:
|
|
heatmap = pred.heatmap
|
|
heatmap.save(os.path.join(loader.result_path, f"{name}_{idx}_heat.png"))
|
|
|
|
predictions_by_page = defaultdict(list)
|
|
for idx, (pred, name, image) in enumerate(
|
|
zip(predictions, loader.names, loader.images)
|
|
):
|
|
out_pred = pred.model_dump(exclude=["heatmap", "affinity_map"])
|
|
out_pred["page"] = len(predictions_by_page[name]) + 1
|
|
predictions_by_page[name].append(out_pred)
|
|
|
|
with open(
|
|
os.path.join(loader.result_path, "results.json"), "w+", encoding="utf-8"
|
|
) as f:
|
|
json.dump(predictions_by_page, f, ensure_ascii=False)
|
|
|
|
logger.info(f"Wrote results to {loader.result_path}")
|