brainmapping revise

Decoder.py

@@ -1,4 +1,6 @@
 import ast
+import glob
+import os
 import threading
 from datetime import datetime
 import multiprocessing as mp
@@ -167,9 +169,11 @@ class Decoder_main(threading.Thread, device_type):
         self.b_design = signal.firwin(65, [bandPass_low / (self.fs/2), bandPass_high / (self.fs/2)], pass_zero=False)  # 设计8-30Hz带通滤波器
         fileName = 'Model_' + datetime.now().strftime('%Y-%m-%d-%H-%M-%S')
         filePath = './online_Models/'
+        for old_pth in glob.glob(os.path.join(filePath, '*.pth')):
+            os.remove(old_pth)
         self.modelPath = ''.join([filePath, fileName, '.pth'])
-        self.mp_data_queue = mp.Queue() #多进程传参队列
-        self.mp_result_queue = mp.Queue() #多进程结果队列
+        self.mp_data_queue = mp.Queue()
+        self.mp_result_queue = mp.Queue()
 
     def preprocess(self, signal_data):
         # # 计算每行的平均值

config.ini

@@ -13,159 +13,16 @@ Num_blocks = 1
 Num_trials = 10
 Audio_device = 0
 Rest_time = 2
-Device_type = 1
-Device_Host =  127.0.0.1
-Device_Port = 5086
 Upper_Host = 127.0.0.1
 Upper_Port = 8088
 Serial_port = COM44
 algo_log_level = DEBUG
 console_output = 1
 
-; 64 导设备配置
-[device_type_1]
+
+; 64 导设备配置 1; 32 2; 24 3; 16 4; 8 5; 4 6;
+[device_type] = 1
 device_sample_rate = 250
 device_channel_nums = 66
-device_channel_names = ['FP1', 'FP2', 'FC1', 'FC2', 'CP1', 'CP2', 'F3', 'F4', 'P3', 'P4', 'O1', 'O2', 'FT9', 'FT10', 'F7', 'F8', 'TP9', 'TP10', 'AF4', 'PO8', 'PZ', 'FCZ']
-device_channel_index = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18]
-
-
-
-[Layout]
-main_splitter_left = 993
-main_splitter_right = 922
-right_splitter_left = 233
-right_splitter_right = 771
-left_splitter_left = 503
-left_splitter_right = 501q
-
-[channel]
-channel_x_fp1 = 419
-channel_y_fp1 = 124
-channel_x_fc1 = 439
-channel_y_fc1 = 296
-channel_x_fp2 = 576
-channel_y_fp2 = 124
-channel_x_fc2 = 556
-channel_y_fc2 = 299
-channel_x_f3 = 397
-channel_y_f3 = 231
-channel_x_cp1 = 439
-channel_y_cp1 = 426
-channel_x_f4 = 601
-channel_y_f4 = 232
-channel_x_cp2 = 559
-channel_y_cp2 = 425
-channel_x_fc3 = 379
-channel_y_fc3 = 295
-channel_x_af4 = 571
-channel_y_af4 = 171
-channel_x_po8 = 645
-channel_y_po8 = 564
-channel_x_fpz = 499
-channel_y_fpz = 112
-channel_x_fcz = 499
-channel_y_fcz = 300
-channel_x_poz = 500
-channel_y_poz = 554
-channel_x_po5 = 387
-channel_y_po5 = 551
-channel_x_po6 = 611
-channel_y_po6 = 551
-channel_x_c3 = 373
-channel_y_c3 = 363
-channel_x_fc5 = 319
-channel_y_fc5 = 292
-channel_x_c4 = 620
-channel_y_c4 = 363
-channel_x_fc6 = 676
-channel_y_fc6 = 288
-channel_x_p3 = 398
-channel_y_p3 = 491
-channel_x_cp5 = 322
-channel_y_cp5 = 430
-channel_x_p4 = 600
-channel_y_p4 = 489
-channel_x_cp6 = 678
-channel_y_cp6 = 430
-channel_x_c5 = 313
-channel_y_c5 = 361
-channel_x_f6 = 650
-channel_y_f6 = 223
-channel_x_f5 = 349
-channel_y_f5 = 224
-channel_x_po4 = 573
-channel_y_po4 = 551
-channel_x_po3 = 429
-channel_y_po3 = 550
-channel_x_cp4 = 619
-channel_y_cp4 = 424
-channel_x_cp3 = 381
-channel_y_cp3 = 426
-channel_x_fc4 = 619
-channel_y_fc4 = 295
-channel_x_o1 = 423
-channel_y_o1 = 598
-channel_x_ft9 = 252
-channel_y_ft9 = 168
-channel_x_o2 = 576
-channel_y_o2 = 597
-channel_x_ft10 = 798
-channel_y_ft10 = 277
-channel_x_f7 = 295
-channel_y_f7 = 214
-channel_x_tp9 = 202
-channel_y_tp9 = 445
-channel_x_f8 = 701
-channel_y_f8 = 215
-channel_x_t7 = 252
-channel_y_t7 = 362
-channel_x_tp7 = 261
-channel_y_tp7 = 436
-channel_x_ft8 = 734
-channel_y_ft8 = 283
-channel_x_ft7 = 264
-channel_y_ft7 = 286
-channel_x_af8 = 645
-channel_y_af8 = 159
-channel_x_af7 = 351
-channel_y_af7 = 160
-channel_x_p6 = 652
-channel_y_p6 = 499
-channel_x_p5 = 348
-channel_y_p5 = 499
-channel_x_c6 = 683
-channel_y_c6 = 362
-channel_x_f1 = 447
-channel_y_f1 = 236
-channel_x_t8 = 745
-channel_y_t8 = 361
-channel_x_f2 = 549
-channel_y_f2 = 235
-channel_x_p7 = 300
-channel_y_p7 = 505
-channel_x_c1 = 435
-channel_y_c1 = 363
-channel_x_p8 = 698
-channel_y_p8 = 508
-channel_x_c2 = 559
-channel_y_c2 = 359
-channel_x_fz = 499
-channel_y_fz = 238
-channel_x_po7 = 354
-channel_y_po7 = 562
-channel_x_tp8 = 735
-channel_y_tp8 = 438
-channel_x_oz = 498
-channel_y_oz = 609
-channel_x_af3 = 428
-channel_y_af3 = 170
-channel_x_pz = 501
-channel_y_pz = 486
-channel_x_p2 = 551
-channel_y_p2 = 483
-channel_x_cz = 499
-channel_y_cz = 361
-channel_x_p1 = 448
-channel_y_p1 = 488
-
+device_channel_names = ['FP1', 'FP2', 'PO6', 'POZ', 'F3', 'F4', 'FPZ', 'AF4', 'FC3', 'PO8', 'CP2', 'CP1', 'FCZ', 'PO5', 'FC2', 'FC1', 'C3', 'C4', 'FC4', 'CP4', 'P3', 'P4', 'F5', 'C5', 'F6', 'PO4', 'CP6', 'CP5', 'PO3', 'CP3', 'FC6', 'FC5', 'CB1', 'CB2', 'P5', 'AF7', 'A1', 'T7', 'FT7', 'TP7', 'FT8', 'AF8', 'F8', 'F7', 'P6', 'C6', 'O2', 'O1', 'T8', 'P7', 'CZ', 'PZ', 'P8', 'FZ', 'OZ', 'PO7', 'TP8', 'AF3', 'C2', 'C1', 'P2', 'P1', 'F2', 'F1', 'label', 'label_tag']
+device_channel_index = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65]