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OCR 引擎封装模块
"""
import logging
from pathlib import Path
from typing import Optional
logger = logging.getLogger(__name__)
class PaddleOCRWrapper:
"""PaddleOCR 引擎封装"""
def __init__(self):
self._ocr_engine = None
def get_engine(self):
"""获取OCR引擎实例"""
if self._ocr_engine is None:
from app.utils.ocr_engine import get_ocr_engine
self._ocr_engine = get_ocr_engine()
return self._ocr_engine
def extract_text(self, image_path: str) -> dict:
"""
从图片中提取文本
Args:
image_path: 图片路径
Returns:
包含提取结果的字典：
{
"success": bool,
"text": str, # 提取的文本（按行连接）
"lines": list, # 按行提取的文本列表
"error": str # 错误信息（如果失败）
}
"""
try:
engine = self.get_engine()
if engine is None:
return {
"success": False,
"text": "",
"lines": [],
"error": "OCR引擎未初始化"
}
# 检查文件是否存在
path = Path(image_path)
if not path.exists():
return {
"success": False,
"text": "",
"lines": [],
"error": f"图片文件不存在: {image_path}"
}
# 执行OCR识别
logger.info(f"开始OCR识别: {image_path}")
result = engine.ocr(str(image_path), cls=False)
# 解析结果
if result is None or len(result) == 0:
return {
"success": True,
"text": "",
"lines": [],
"error": None
}
# 提取文本行
lines = []
for page_result in result:
if page_result is None:
continue
for line in page_result:
if line and len(line) >= 2:
text = line[1][0] # line[1][0] 是识别的文本
lines.append(text)
return {
"success": True,
"text": "\n".join(lines),
"lines": lines,
"error": None
}
except Exception as e:
logger.error(f"OCR识别失败: {e}", exc_info=True)
return {
"success": False,
"text": "",
"lines": [],
"error": str(e)
}
# 全局OCR封装实例
_ocr_wrapper: Optional[PaddleOCRWrapper] = None
def get_ocr_wrapper() -> PaddleOCRWrapper:
"""获取全局OCR封装实例"""
global _ocr_wrapper
if _ocr_wrapper is None:
_ocr_wrapper = PaddleOCRWrapper()
return _ocr_wrapper |