76 lines
2.3 KiB
Python
76 lines
2.3 KiB
Python
import os
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import cv2
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from rapidocr import RapidOCR
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from service.sensitive_service import get_all_sensitive_words
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# 全局变量
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_ocr_engine = None
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_forbidden_words = set()
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_conf_threshold = 0.5
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ocr_config_path = os.path.join(os.path.dirname(__file__), "config", "config.yaml")
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def load_model():
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"""加载OCR引擎及违禁词列表"""
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global _ocr_engine, _forbidden_words, _conf_threshold
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# 加载违禁词
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try:
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_forbidden_words = get_all_sensitive_words()
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except Exception as e:
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print(f"Forbidden words load error: {e}")
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# 初始化OCR引擎
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if not os.path.exists(ocr_config_path):
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print(f"OCR config not found: {ocr_config_path}")
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return False
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try:
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_ocr_engine = RapidOCR(config_path=ocr_config_path)
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except Exception as e:
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print(f"OCR model load failed: {e}")
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return False
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return True if _ocr_engine else False
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def detect(frame):
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"""OCR检测并筛选违禁词，返回(是否检测到违禁词, 结果字符串)"""
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if not _ocr_engine or not _forbidden_words or frame is None or frame.size == 0:
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return (False, "未初始化或无效帧")
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try:
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ocr_res = _ocr_engine(frame)
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except Exception as e:
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print(f"OCR detect error: {e}")
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return (False, f"检测错误: {str(e)}")
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if not ocr_res or not hasattr(ocr_res, 'txts') or not hasattr(ocr_res, 'scores'):
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return (False, "无OCR结果")
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# 处理OCR结果
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texts = [t.strip() for t in ocr_res.txts if t and isinstance(t, str)]
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confs = [c for c in ocr_res.scores if c and isinstance(c, (int, float))]
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if len(texts) != len(confs):
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return (False, "OCR结果格式异常")
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# 筛选违禁词
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vio_info = []
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for txt, conf in zip(texts, confs):
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if conf < _conf_threshold:
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continue
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matched = [w for w in _forbidden_words if w in txt]
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if matched:
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vio_info.append(f"文本: '{txt}' 包含违禁词: {', '.join(matched)} (置信度: {conf:.2f})")
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# 构建结果字符串
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has_text = len(texts) > 0
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has_violation = len(vio_info) > 0
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if not has_text:
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return (False, "未识别到文本")
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elif has_violation:
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return (True, "; ".join(vio_info))
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else:
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return (False, "未检测到违禁词") |