最新可用

core/ocr.py

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