再次修复了车牌判断的bug

main.py

@@ -42,6 +42,8 @@ class PlateStabilizer:
         self.plate_last_seen = {}
         # 车牌帧计数器，用于跟踪每个车牌被检测的帧数
         self.plate_frame_count = {}
+        # 车牌首次检测时间戳，用于基于时间的帧计数
+        self.plate_first_seen = {}
         
     def calculate_plate_distance(self, pos1, pos2):
         """计算两个车牌位置的距离"""
@@ -95,11 +97,22 @@ class PlateStabilizer:
                 matched_plates[new_id] = detection
                 self.plate_positions[new_id] = bbox
                 self.plate_last_seen[new_id] = current_time  # 设置时间戳
-                # 初始化帧计数
+                # 初始化帧计数和首次检测时间
                 self.plate_frame_count[new_id] = 1
+                self.plate_first_seen[new_id] = current_time
         
         return matched_plates
     
+    def is_plate_ready_for_processing(self, plate_id, delay_seconds=0.7):
+        """检查车牌是否已经过了指定的延迟时间，可以进行处理"""
+        import time
+        if plate_id not in self.plate_first_seen:
+            return False
+        
+        current_time = time.time()
+        first_seen_time = self.plate_first_seen[plate_id]
+        return (current_time - first_seen_time) >= delay_seconds
+    
     def calculate_confidence(self, plate_text, detection_quality=1.0):
         """计算识别结果的置信度"""
         if not plate_text or plate_text == "识别失败":
@@ -240,6 +253,8 @@ class PlateStabilizer:
                 del self.plate_last_seen[plate_id]
             if plate_id in self.plate_frame_count:
                 del self.plate_frame_count[plate_id]
+            if plate_id in self.plate_first_seen:
+                del self.plate_first_seen[plate_id]
 
 class CameraThread(QThread):
     """摄像头线程类"""
@@ -496,6 +511,11 @@ class MainWindow(QMainWindow):
         # 白名单存储
         self.whitelist = set()  # 存储白名单车牌号
         
+        # 帧率检测相关
+        self.frame_times = deque(maxlen=30)  # 存储最近30帧的时间戳
+        self.current_fps = 30.0  # 默认帧率
+        self.skip_frames_count = 21  # 默认跳过帧数 (0.7秒 * 30fps)
+        
         self.init_ui()
         self.init_detector()
         self.init_camera()
@@ -1056,6 +1076,9 @@ class MainWindow(QMainWindow):
             
         self.current_frame = frame.copy()
         
+        # 更新帧率计算
+        self.update_fps()
+        
         # 先显示原始帧，保证视频流畅播放
         self.display_frame(frame)
         
@@ -1092,6 +1115,19 @@ class MainWindow(QMainWindow):
             # 无论成功或失败，都要重置标志位
             self.is_processing = False
     
+    def update_fps(self):
+        """更新帧率计算"""
+        current_time = time.time()
+        self.frame_times.append(current_time)
+        
+        # 如果有足够的帧时间数据，计算帧率
+        if len(self.frame_times) >= 2:
+            time_span = self.frame_times[-1] - self.frame_times[0]
+            if time_span > 0:
+                self.current_fps = (len(self.frame_times) - 1) / time_span
+                # 根据当前帧率计算需要跳过的帧数 (0.7秒)
+                self.skip_frames_count = max(1, int(self.current_fps * 0.7))
+    
     def draw_detections(self, frame):
         """在图像上绘制检测结果"""
         # 获取车牌号列表
@@ -1232,11 +1268,9 @@ class MainWindow(QMainWindow):
         
         # 更新车牌数量显示
         self.count_label.setText(f"识别到的车牌数量: {len(stable_results)}")
-        print(f"稳定结果数量: {len(stable_results)}")
         
         # 检查结果是否发生变化
         results_changed = self.check_results_changed(stable_results)
-        print(f"结果是否变化: {results_changed}")
         
         if results_changed:
             # 清除之前的结果
@@ -1272,20 +1306,7 @@ class MainWindow(QMainWindow):
         for frame_id in expired_frame_ids:
             del self.frame_command_sent[frame_id]
         
-        # 清理过期的车牌记录 - 获取当前所有稳定车牌号
+
-        current_plate_numbers = set()
-        for result in stable_results:
-            plate_number = result.get('plate_number', '')
-            if plate_number and plate_number != "识别失败":
-                current_plate_numbers.add(plate_number)
-        
-        # 清理不再出现的车牌记录
-        expired_plate_numbers = [plate_number for plate_number in self.plate_records.keys() 
-                               if plate_number not in current_plate_numbers]
-        for plate_number in expired_plate_numbers:
-            del self.plate_records[plate_number]
-        
-        print("结果显示更新完成")
     
     def check_results_changed(self, new_results):
         """检查识别结果是否发生变化"""
@@ -1379,7 +1400,6 @@ class MainWindow(QMainWindow):
              self.process_frame(self.current_frame)
     
     def handle_gate_control(self, stable_results):
-        
         """处理道闸控制逻辑"""
         current_time = datetime.now()
         
@@ -1393,13 +1413,12 @@ class MainWindow(QMainWindow):
             if not plate_number or plate_number == "识别失败":
                 continue
             
-            # 获取该车牌的帧计数，忽略最早的两帧结果
+            # 使用基于时间的延迟检查，确保车牌检测到0.7秒后才处理
-            frame_count = self.plate_stabilizer.plate_frame_count.get(plate_id, 0)
+            if not self.plate_stabilizer.is_plate_ready_for_processing(plate_id, 0.7):
-            if frame_count <= 2:
+                print(f"车牌ID: {plate_id} 尚未达到0.7秒延迟，跳过处理")
-                print(f"车牌ID: {plate_id} 帧数: {frame_count}, 忽略前两帧")
                 continue
             
-            # 检查该识别框ID是否已经发送过命令
+            # 检查该识别框ID是否已经发送过命令（防止同一识别框重复发送）
             if plate_id in self.frame_command_sent:
                 print(f"识别框ID: {plate_id} 已发送过命令，跳过")
                 continue
@@ -1422,32 +1441,32 @@ class MainWindow(QMainWindow):
                     print(f"发送道闸命令失败: {e}")
                 continue
             
+            # 白名单车牌的处理逻辑：基于车牌号判断首次/二次识别
             if plate_number in self.plate_records:
-                # 二次识别到同一车牌
+                # 二次识别到同一车牌号（出库）
                 record = self.plate_records[plate_number]
-                if not record['sent']:
+                # 计算时间间隔
-                    # 计算时间间隔
+                time_diff = (current_time - record['first_time']).total_seconds()
-                    time_diff = (current_time - record['first_time']).total_seconds()
+                
+                # 发送时间间隔命令
+                message = f"{plate_number} {int(time_diff)}sec"
+                try:
+                    send_command(1, message)
+                    print(f"发送道闸命令: {message}")
                     
-                    # 发送时间间隔命令
+                    # 标记该识别框ID已发送命令
-                    message = f"{plate_number} {int(time_diff)}sec"
+                    self.frame_command_sent[plate_id] = {
-                    try:
+                        'plate_number': plate_number,
-                        send_command(1, message)
+                        'command_sent': True
-                        print(f"发送道闸命令: {message}")
+                    }
-                        
+                    
-                        # 标记该识别框ID已发送命令
+                    # 清除记录，使第三次识别时重新按首次处理
-                        self.frame_command_sent[plate_id] = {
+                    del self.plate_records[plate_number]
-                            'plate_number': plate_number,
+                    
-                            'command_sent': True
+                except Exception as e:
-                        }
+                    print(f"发送道闸命令失败: {e}")
-                        
-                        # 标记为已发送并清除记录，使第三次识别时重新按首次处理
-                        del self.plate_records[plate_number]
-                        
-                    except Exception as e:
-                        print(f"发送道闸命令失败: {e}")
             else: 
-                # 首次识别到车牌
+                # 首次识别到车牌号（入库）
                 try:
                     message = f"{plate_number} 通行"
                     send_command(1, message)
@@ -1459,7 +1478,7 @@ class MainWindow(QMainWindow):
                         'command_sent': True
                     }
                     
-                    # 记录车牌信息
+                    # 记录车牌信息，等待二次识别
                     self.plate_records[plate_number] = {
                         'first_time': current_time,
                         'sent': False