修改的标签走队列模式

Decoder.py

@@ -331,7 +331,7 @@ class Decoder_main(threading.Thread):
                 pad_eeg_test[:, :int(self.sample_length * self.device_info['sample_rate'])] = data
                 choosenNum, features_2 = self.decoder.predict(pad_eeg_test)
                 if isinstance(choosenNum, np.ndarray):
-                    choosenNum = choosenNum[0]
+                    choosenNum = choosenNum[0]-1
                 algo_log(f"结果：{choosenNum}, rho: {sorted(features_2[0])[-1] - sorted(features_2[0])[-2]}", level="DEBUG")
                 self.zmqServer.broadcast_message('result', int(choosenNum))
                 algo_log("SSMVEP发送给界面完成。", level="DEBUG")

Zmq/zmqServer.py

@@ -355,7 +355,6 @@ class zmqServer(threading.Thread):
             
             # 写入范式缓冲区
             with self.paradigmBufferLock:
-                self.paradigmBuffer.appendBuffer(data_np)
                 if self.interval_inited:
                     self.epoch_finished = self.detect_event(data_np)
                     if self.pack_contain_event:
@@ -420,8 +419,7 @@ class zmqServer(threading.Thread):
 
     # -------------------------- 事件检测 --------------------------
     def detect_event(self, samples):
-        pack_contain_event = False
-        epoch_finished = False
+        self.pack_contain_event = False
         # 第65通道为事件通道
         events = np.array(samples[-2], dtype=np.int32).tolist()
         for idx, event in enumerate(events):
@@ -433,20 +431,14 @@ class zmqServer(threading.Thread):
                                                 -%H-%M-%S"),
                     ]
                 )
-                if len(self.count_events) > 0:
-                    algo_log(f"当前有事件未采集完成，新事件{new_key}非法，被忽略")
-                    return pack_contain_event, epoch_finished
+                self.currentLabel = event
+                if event == self.predict_event:
+                    self.count_events[new_key] = self.latency + 1
                 else:
-                    self.currentLabel = event
-                    pack_contain_event = True
-                    if event == self.predict_event:
-                        self.count_events[new_key] = self.latency + 1
-                    else:
-                        self.count_events[new_key] = self.train_latency + 1
-                    self.event_inner_idx = idx
-                    algo_log(f"事件检测到: {events}，索引: {idx}", level="DEBUG")
-            else:
-                pack_contain_event = False
+                    self.count_events[new_key] = self.train_latency + 1
+                self.event_inner_idx = idx
+                algo_log(f"事件检测到: {events}，索引: {idx}", level="DEBUG")
+                self.pack_contain_event = True
 
         # 倒计时并清理过期事件
         drop_items = []
@@ -459,11 +451,9 @@ class zmqServer(threading.Thread):
         for key in drop_items:
             del self.count_events[key]
 
-        if len(drop_items) > 0:
-            epoch_finished = True
-        else:
-            epoch_finished = False
-        return pack_contain_event, epoch_finished
+        if drop_items:
+            return True
+        return False
     
     
     # -------------------------- 主循环 --------------------------

config.ini

@@ -19,7 +19,7 @@ Decoder_Host = 127.0.0.1
 Decoder_Port = 8099
 Serial_port = COM44
 save_train_data = 0
-zmqServer_host = 127.0.0.1
+zmqServer_host = 192.168.254.103
 
 [algo_log]
 # ========== 文件日志配置 ==========

datamock.py

@@ -163,7 +163,7 @@ def main():
             if ext_label is not None:
                 # 将标签写入当前包所有5个采样点的第65通道 (index 64)
                 # 覆盖全部采样点确保 event_inner_idx 无论落在哪个位置都能被正确检测
-                packet[:, 64] = float(ext_label)
+                packet[:, 64][0] = float(ext_label)
                 ts = datetime.now().strftime('%H:%M:%S')
                 print(f"[{ts}] 打标签: label={ext_label} -> ch64[all 5 samples] (global_sample_idx={global_sample_idx})")