update

app_utils.py

@@ -334,13 +334,13 @@ def reorder_data(idx_order, orig_flags, inputname, filename):
 	new_data = np.zeros((30, raw_data.shape[1]))
 	
 	zero_arr = np.zeros((1, raw_data.shape[1]))
-	for i, (idx_set, flag) in enumerate(zip(idx_order, orig_flags)):
+	for i, (indices, flag) in enumerate(zip(idx_order, orig_flags)):
 		if flag == True:
-			new_data[i, :] = raw_data[idx_set[0], :]
-		elif idx_set == [None]:
+			new_data[i, :] = raw_data[indices[0], :]
+		elif indices == [None]:
 			new_data[i, :] = zero_arr
 		else:
-			tmp_data = [raw_data[j, :] for j in idx_set]
+			tmp_data = [raw_data[j, :] for j in indices]
 			new_data[i, :] = np.mean(tmp_data, axis=0)
 	
 	utils.save_data(new_data, filename)
@@ -355,9 +355,9 @@ def restore_order(batch_cnt, raw_data_shape, idx_order, orig_flags, filename, ou
 	else:
 		new_data = utils.read_train_data(outputname)
 	
-	for i, (idx_set, flag) in enumerate(zip(idx_order, orig_flags)):
+	for i, (indices, flag) in enumerate(zip(idx_order, orig_flags)):
 		if flag == True:
-			new_data[idx_set[0], :] = d_data[i, :]
+			new_data[indices[0], :] = d_data[i, :]
 	
 	utils.save_data(new_data, outputname)
 	return

utils.py

@@ -42,7 +42,6 @@ def resample(signal, fs):
 
     return signal_new
 
-# "original to 256Hz" or "256Hz to original"
 def resample_(signal, current_fs, target_fs):
     fs = current_fs
     # downsample the signal to the target sample rate
@@ -261,7 +260,7 @@ def reconstruct(model_name, total, filepath, outputfile, samplerate):
     # -------------------delete_data---------------------------
     dataDelete(filepath+"temp2/")
     # --------------------resample-----------------------------
-    signal = resample_(signal, 256, samplerate) # 256Hz to original sampling rate
+    signal = resample_(signal, 256, samplerate)
     #print(signal.shape)
     # --------------------save_data----------------------------
     save_data(signal, filepath+outputfile)