Spaces:
Paused
Paused
File size: 6,310 Bytes
ab2ded1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import os
import re
from collections import Counter
from copy import deepcopy
import numpy as np
from huggingface_hub import snapshot_download
from api.utils.file_utils import get_project_base_directory
from deepdoc.vision import Recognizer
class LayoutRecognizer(Recognizer):
labels = [
"_background_",
"Text",
"Title",
"Figure",
"Figure caption",
"Table",
"Table caption",
"Header",
"Footer",
"Reference",
"Equation",
]
def __init__(self, domain):
try:
model_dir = os.path.join(
get_project_base_directory(),
"rag/res/deepdoc")
super().__init__(self.labels, domain, model_dir)
except Exception as e:
model_dir = snapshot_download(repo_id="InfiniFlow/deepdoc",
local_dir=os.path.join(get_project_base_directory(), "rag/res/deepdoc"),
local_dir_use_symlinks=False)
super().__init__(self.labels, domain, model_dir)
self.garbage_layouts = ["footer", "header", "reference"]
def __call__(self, image_list, ocr_res, scale_factor=3,
thr=0.2, batch_size=16, drop=True):
def __is_garbage(b):
patt = [r"^•+$", r"(版权归©|免责条款|地址[:：])", r"\.{3,}", "^[0-9]{1,2} / ?[0-9]{1,2}$",
r"^[0-9]{1,2} of [0-9]{1,2}$", "^http://[^ ]{12,}",
"(资料|数据)来源[:：]", "[0-9a-z._-]+@[a-z0-9-]+\\.[a-z]{2,3}",
"\\(cid *: *[0-9]+ *\\)"
]
return any([re.search(p, b["text"]) for p in patt])
layouts = super().__call__(image_list, thr, batch_size)
# save_results(image_list, layouts, self.labels, output_dir='output/', threshold=0.7)
assert len(image_list) == len(ocr_res)
# Tag layout type
boxes = []
assert len(image_list) == len(layouts)
garbages = {}
page_layout = []
for pn, lts in enumerate(layouts):
bxs = ocr_res[pn]
lts = [{"type": b["type"],
"score": float(b["score"]),
"x0": b["bbox"][0] / scale_factor, "x1": b["bbox"][2] / scale_factor,
"top": b["bbox"][1] / scale_factor, "bottom": b["bbox"][-1] / scale_factor,
"page_number": pn,
} for b in lts if float(b["score"]) >= 0.8 or b["type"] not in self.garbage_layouts]
lts = self.sort_Y_firstly(lts, np.mean(
[l["bottom"] - l["top"] for l in lts]) / 2)
lts = self.layouts_cleanup(bxs, lts)
page_layout.append(lts)
# Tag layout type, layouts are ready
def findLayout(ty):
nonlocal bxs, lts, self
lts_ = [lt for lt in lts if lt["type"] == ty]
i = 0
while i < len(bxs):
if bxs[i].get("layout_type"):
i += 1
continue
if __is_garbage(bxs[i]):
bxs.pop(i)
continue
ii = self.find_overlapped_with_threashold(bxs[i], lts_,
thr=0.4)
if ii is None: # belong to nothing
bxs[i]["layout_type"] = ""
i += 1
continue
lts_[ii]["visited"] = True
keep_feats = [
lts_[
ii]["type"] == "footer" and bxs[i]["bottom"] < image_list[pn].size[1] * 0.9 / scale_factor,
lts_[
ii]["type"] == "header" and bxs[i]["top"] > image_list[pn].size[1] * 0.1 / scale_factor,
]
if drop and lts_[
ii]["type"] in self.garbage_layouts and not any(keep_feats):
if lts_[ii]["type"] not in garbages:
garbages[lts_[ii]["type"]] = []
garbages[lts_[ii]["type"]].append(bxs[i]["text"])
bxs.pop(i)
continue
bxs[i]["layoutno"] = f"{ty}-{ii}"
bxs[i]["layout_type"] = lts_[ii]["type"] if lts_[
ii]["type"] != "equation" else "figure"
i += 1
for lt in ["footer", "header", "reference", "figure caption",
"table caption", "title", "table", "text", "figure", "equation"]:
findLayout(lt)
# add box to figure layouts which has not text box
for i, lt in enumerate(
[lt for lt in lts if lt["type"] in ["figure", "equation"]]):
if lt.get("visited"):
continue
lt = deepcopy(lt)
del lt["type"]
lt["text"] = ""
lt["layout_type"] = "figure"
lt["layoutno"] = f"figure-{i}"
bxs.append(lt)
boxes.extend(bxs)
ocr_res = boxes
garbag_set = set()
for k in garbages.keys():
garbages[k] = Counter(garbages[k])
for g, c in garbages[k].items():
if c > 1:
garbag_set.add(g)
ocr_res = [b for b in ocr_res if b["text"].strip() not in garbag_set]
return ocr_res, page_layout
|