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refine pdf parser, add time zone to userinfo (#112)
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@ -96,7 +96,7 @@ class LayoutRecognizer(Recognizer):
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continue
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bxs[i]["layoutno"] = f"{ty}-{ii}"
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bxs[i]["layout_type"] = lts_[ii]["type"]
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bxs[i]["layout_type"] = lts_[ii]["type"] if lts_[ii]["type"]!="equation" else "figure"
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i += 1
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for lt in ["footer", "header", "reference", "figure caption",
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@ -105,7 +105,7 @@ class LayoutRecognizer(Recognizer):
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# add box to figure layouts which has not text box
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for i, lt in enumerate(
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[lt for lt in lts if lt["type"] == "figure"]):
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[lt for lt in lts if lt["type"] in ["figure","equation"]]):
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if lt.get("visited"):
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continue
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lt = deepcopy(lt)
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@ -21,7 +21,6 @@ from .operators import *
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import numpy as np
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import onnxruntime as ort
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from api.utils.file_utils import get_project_base_directory
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from .postprocess import build_post_process
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from rag.settings import cron_logger
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@ -276,18 +276,18 @@ class Recognizer(object):
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def find_overlapped_with_threashold(box, boxes, thr=0.3):
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if not boxes:
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return
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max_overlaped_i, max_overlaped, _max_overlaped = None, thr, 0
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max_overlapped_i, max_overlapped, _max_overlapped = None, thr, 0
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s, e = 0, len(boxes)
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for i in range(s, e):
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ov = Recognizer.overlapped_area(box, boxes[i])
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_ov = Recognizer.overlapped_area(boxes[i], box)
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if (ov, _ov) < (max_overlaped, _max_overlaped):
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if (ov, _ov) < (max_overlapped, _max_overlapped):
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continue
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max_overlaped_i = i
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max_overlaped = ov
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_max_overlaped = _ov
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max_overlapped_i = i
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max_overlapped = ov
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_max_overlapped = _ov
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return max_overlaped_i
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return max_overlapped_i
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def preprocess(self, image_list):
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inputs = []
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