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111 lines
3.8 KiB
Python

import random
from loguru import logger
try:
from paddleocr import PPStructure
except ImportError:
logger.error('paddleocr not installed, please install by "pip install magic-pdf[lite]"')
exit(1)
def region_to_bbox(region):
x0 = region[0][0]
y0 = region[0][1]
x1 = region[2][0]
y1 = region[2][1]
return [x0, y0, x1, y1]
class CustomPaddleModel:
def __init__(self,
ocr: bool = False,
show_log: bool = False,
lang=None,
det_db_box_thresh=0.3,
use_dilation=True,
det_db_unclip_ratio=1.8
):
if lang is not None:
self.model = PPStructure(table=False,
ocr=True,
show_log=show_log,
lang=lang,
det_db_box_thresh=det_db_box_thresh,
use_dilation=use_dilation,
det_db_unclip_ratio=det_db_unclip_ratio,
)
else:
self.model = PPStructure(table=False,
ocr=True,
show_log=show_log,
det_db_box_thresh=det_db_box_thresh,
use_dilation=use_dilation,
det_db_unclip_ratio=det_db_unclip_ratio,
)
def __call__(self, img):
try:
import cv2
except ImportError:
logger.error("opencv-python not installed, please install by pip.")
exit(1)
# 将RGB图片转换为BGR格式适配paddle
img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
result = self.model(img)
spans = []
for line in result:
line.pop("img")
"""
为paddle输出适配type no.
title: 0 # 标题
text: 1 # 文本
header: 2 # abandon
footer: 2 # abandon
reference: 1 # 文本 or abandon
equation: 8 # 行间公式 block
equation: 14 # 行间公式 text
figure: 3 # 图片
figure_caption: 4 # 图片描述
table: 5 # 表格
table_caption: 6 # 表格描述
"""
if line["type"] == "title":
line["category_id"] = 0
elif line["type"] in ["text", "reference"]:
line["category_id"] = 1
elif line["type"] == "figure":
line["category_id"] = 3
elif line["type"] == "figure_caption":
line["category_id"] = 4
elif line["type"] == "table":
line["category_id"] = 5
elif line["type"] == "table_caption":
line["category_id"] = 6
elif line["type"] == "equation":
line["category_id"] = 8
elif line["type"] in ["header", "footer"]:
line["category_id"] = 2
else:
logger.warning(f"unknown type: {line['type']}")
# 兼容不输出score的paddleocr版本
if line.get("score") is None:
line["score"] = 0.5 + random.random() * 0.5
res = line.pop("res", None)
if res is not None and len(res) > 0:
for span in res:
new_span = {
"category_id": 15,
"bbox": region_to_bbox(span["text_region"]),
"score": span["confidence"],
"text": span["text"],
}
spans.append(new_span)
if len(spans) > 0:
result.extend(spans)
return result