1

ws/ws.py

@@ -1,15 +1,34 @@
 import asyncio
 import datetime
 import json
+import os
 from contextlib import asynccontextmanager
 from typing import Dict, Optional
 
+import cv2
 import numpy as np
 from fastapi import WebSocket, APIRouter, WebSocketDisconnect, FastAPI
 
+
+from ocr.model_violation_detector import MultiModelViolationDetector
+# 配置文件相对路径（根据实际目录结构调整）
+YOLO_MODEL_PATH = r"D:\Git\bin\video\ocr\models\best.pt"  # 关键修正：从core目录向上一级找ocr文件夹
+FORBIDDEN_WORDS_PATH = r"D:\Git\bin\video\ocr\forbidden_words.txt"
+OCR_CONFIG_PATH = r"D:\Git\bin\video\ocr\config\1.yaml"
+KNOWN_FACES_DIR = r"D:\Git\bin\video\ocr\known_faces"
+
+# 创建检测器实例
+detector = MultiModelViolationDetector(
+    forbidden_words_path=FORBIDDEN_WORDS_PATH,
+    ocr_config_path=OCR_CONFIG_PATH,
+    yolo_model_path=YOLO_MODEL_PATH,
+    known_faces_dir=KNOWN_FACES_DIR,
+    ocr_confidence_threshold=0.5
+)
+
 # -------------------------- 配置常量（简化硬编码） --------------------------
 HEARTBEAT_INTERVAL = 30  # 心跳检查间隔（秒）
-HEARTBEAT_TIMEOUT = 60  # 客户端超时阈值（秒）
+HEARTBEAT_TIMEOUT = 600  # 客户端超时阈值（秒）
 WS_ENDPOINT = "/ws"  # WebSocket端点路径
 
 # -------------------------- 核心数据结构与全局变量 --------------------------
@@ -113,9 +132,31 @@ async def handle_text_msg(client_ip: str, text: str, conn: ClientConnection):
 async def handle_binary_msg(client_ip: str, data: bytes):
     """处理二进制消息（保留扩展入口）"""
     print(f"[{datetime.datetime.now():%H:%M:%S}] 客户端{client_ip}：收到{len(data)}字节二进制数据")
-    # 将二进制转化为 numpy 数组
-    data_ndarray = np.frombuffer(data, dtype=np.uint8)
+    # 将二进制数据转换为NumPy数组（uint8类型）
+    nparr = np.frombuffer(data, np.uint8)
+    # 解码为图像，返回与cv2.imread相同的格式（BGR通道的ndarray）
+    img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+    #转存到本地images文件夹下
+    # 确保images文件夹存在
+    if not os.path.exists('images'):
+        os.makedirs('images')
+
+    # 生成唯一的文件名，包含时间戳和客户端IP，避免文件名冲突
+    timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S_%f")
+    filename = f"images/{client_ip.replace('.', '_')}_{timestamp}.jpg"
+    # 保存图像到本地
+
+    cv2.imwrite(filename, img)
+    print(f"[{datetime.datetime.now():%H:%M:%S}] 图像已保存至：{filename}")
     # 进行检测
+    if img is not None:
+        has_violation, violation_type, details = detector.detect_violations(img)
+        if has_violation:
+            print(f"检测到违规 - 类型: {violation_type}, 详情: {details}")
+        else:
+            print("未检测到任何违规内容")
+    else:
+        print(f"无法读取测试图像:")
 
 # -------------------------- WebSocket核心端点 --------------------------
 @ws_router.websocket(WS_ENDPOINT)