Fu DaiandClaude Opus 4.8
1a585693be
FastAPI service wrapping the Surya-OCR-2 model (datalab-to) served through vLLM: legacy /v1/api/ai/* endpoints, an OpenAI-compatible /v1/chat/completions endpoint, a coalescing request batcher, a local OCR CLI, Docker packaging, multilingual example outputs, and quantization/concurrency benchmarks. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
from typing import List
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from surya.common.polygon import PolygonBox
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def clean_boxes(boxes: List[PolygonBox]) -> List[PolygonBox]:
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new_boxes = []
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for box_obj in boxes:
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xs = [point[0] for point in box_obj.polygon]
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ys = [point[1] for point in box_obj.polygon]
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if max(xs) == min(xs) or max(ys) == min(ys):
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continue
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box = box_obj.bbox
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contained = False
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for other_box_obj in boxes:
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if other_box_obj.polygon == box_obj.polygon:
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continue
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other_box = other_box_obj.bbox
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if box == other_box:
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continue
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if (
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box[0] >= other_box[0]
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and box[1] >= other_box[1]
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and box[2] <= other_box[2]
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and box[3] <= other_box[3]
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):
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contained = True
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break
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if not contained:
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new_boxes.append(box_obj)
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return new_boxes
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def expand_bbox(bbox, expansion_factor=0.01):
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expansion_low = 1 - expansion_factor
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expansion_high = 1 + expansion_factor
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return [
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bbox[0] * expansion_low,
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bbox[1] * expansion_low,
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bbox[2] * expansion_high,
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bbox[3] * expansion_high,
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]
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